作物収量予測のための機械学習の世界市場

作物収量予測のための機械学習の世界市場は2030年までに24億米ドルに達する見込み

2024年に7億1,300万米ドルと推定される作物収量予測のための機械学習の世界市場は、2024年から2030年にかけてCAGR 22.7％で成長し、2030年には24億米ドルに達すると予測されます。本レポートで分析したセグメントの1つである「ソフトウェアコンポーネント」は、CAGR20.7％を記録し、分析期間終了時には15億米ドルに達すると予測されます。サービスコンポーネント分野の成長率は、分析期間中CAGR 26.5％と推定されます。

米国市場は1億9,430万米ドルと推定、中国はCAGR30.0％で成長予測

米国の作物収量予測のための機械学習市場は、2024年に1億9,430万米ドルと推定されます。世界第2位の経済大国である中国は、2024年から2030年の分析期間においてCAGR 30.0%で推移し、2030年には5億7,690万米ドルの市場規模に達すると予測されています。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ18.5%と20.2%と予測されています。欧州では、ドイツがCAGR約19.0%で成長すると予測されています。

世界の作物収量予測のための機械学習市場- 主要動向と促進要因のまとめ

作物収量予測のための機械学習が重要性を増している理由とは？

農業分野では、作物の収量予測の効率と精度を高めるために、機械学習（ML）の活用が進んでいます。世界人口の増加と食糧安全保障への懸念から、農業生産性の最適化が最優先課題となっています。従来の収量予測手法は、過去のデータと手作業による観測に依存しており、不正確で時間がかかることが多いです。機械学習アルゴリズムは、衛星画像、土壌データ、気候パターン、リアルタイムのセンサー入力と組み合わされ、農家や農業関連企業が作物の生産量を予測する方法に革命をもたらしています。この予測能力により、作付けサイクル、資源配分、サプライチェーン計画に関するより良い意思決定が可能になり、最終的に収益性が向上し、無駄が削減されます。

技術革新はどのように作物収量予測の性能を高めているのか？

人工知能（AI）とビッグデータ分析における最近の進歩は、作物収量予測モデルの精度と効率を高めています。機械学習アルゴリズムは、気温の変動、土壌水分レベル、害虫の発生状況、灌漑パターンなど膨大な量のデータを処理し、精度の高い収量予測を提供することができます。さらに、リモートセンシング技術やマルチスペクトルカメラを搭載したドローンがMLモデルと統合され、植物の健康状態を監視し、病気を早期に発見し、栄養不足を評価するようになっています。クラウド・コンピューティングとIoT対応センサーは、さらにリアルタイムのデータ収集と予測分析を可能にし、農家が収量を最大化するために事前予防的な決定を下すことを可能にします。

主な市場促進要因は？

精密農業の採用の増加、アグリテック新興企業への投資の増加、スマート農業ソリューションを推進する政府のイニシアチブは、市場成長を促進する主な要因です。また、気候変動による天候パターンの予測不可能性の高まりは、リスクを軽減し、農業の持続可能性を高めることができる高度な予測モデルの必要性を高めています。さらに、機械学習とブロックチェーン技術の統合は、農業サプライチェーンの透明性とトレーサビリティを向上させ、消費者と利害関係者の信頼を醸成しています。

どのような課題と将来の機会が存在するか？

課題としては、機械学習システムの導入コストが高いこと、農家に技術的な専門知識が必要なこと、異なる農業地域間でデータ収集方法が標準化されていないことなどが挙げられます。しかし、農家のデータ解釈を簡素化する使いやすいAIプラットフォームの開発にはチャンスがあります。小規模農業におけるMLアプリケーションの拡大、手頃な価格の精密農業ツールの改善、農業関連企業とハイテク企業のコラボレーションは、この市場の成長をさらに促進すると思われます。

セグメント

コンポーネント（ソフトウェア・コンポーネント、サービス・コンポーネント）;展開（クラウドベース展開、オンプレミス展開）;農場規模（小規模農場、中規模農場、大規模農場）;エンドユーザー（農家エンドユーザー、農業協同組合エンドユーザー、調査機関エンドユーザー、政府機関エンドユーザー、その他エンドユーザー）

調査対象企業の例

• Aerobotics Ltd.
• AgriWebb Pty Ltd.
• BASF SE
• Bayer AG
• Ceres Imaging Inc.
• Cropin Technology Solutions Pvt. Ltd.
• CropX Inc.
• FarmWise Labs Inc.
• Fasal
• International Business Machines Corp.（IBM）
• IUNU Inc.
• Keymakr Inc.
• Microsoft Corporation
• Ninjacart
• PrecisionHawk
• Raven Industries Inc.
• Sentera Inc.
• Taranis
• Terramera Inc.
• Trace Genomics Inc.

AIインテグレーション

Global Industry Analystsは、有効な専門家コンテンツとAIツールによって、市場情報と競合情報を変革しています。

Global Industry Analystsは、一般的なLLMや業界別SLMのクエリに従う代わりに、ビデオ記録、ブログ、検索エンジン調査、大量の企業、製品/サービス、市場データなど、世界中の専門家から収集したコンテンツのリポジトリを構築しました。

関税影響係数

Global Industry Analystsは、本社の国、製造拠点、輸出入（完成品とOEM）に基づく企業の競争力の変化を予測しています。この複雑で多面的な市場力学は、売上原価（COGS）の増加、収益性の低下、サプライチェーンの再構築など、ミクロおよびマクロの市場力学の中でも特に競合他社に影響を与える見込みです。

目次

第1章 調査手法

第2章 エグゼクティブサマリー

• 市場概要
• 主要企業
• 市場動向と促進要因
• 世界市場の見通し

第3章 市場分析

• 米国
• カナダ
• 日本
• 中国
• 欧州
• フランス
• ドイツ
• イタリア
• 英国
• スペイン
• ロシア
• その他欧州
• アジア太平洋
• オーストラリア
• インド
• 韓国
• その他アジア太平洋地域
• ラテンアメリカ
• アルゼンチン
• ブラジル
• メキシコ
• その他ラテンアメリカ
• 中東
• イラン
• イスラエル
• サウジアラビア
• アラブ首長国連邦
• その他中東
• アフリカ

第4章 競合

Global Machine Learning for Crop Yield Prediction Market to Reach US$2.4 Billion by 2030

The global market for Machine Learning for Crop Yield Prediction estimated at US$713.0 Million in the year 2024, is expected to reach US$2.4 Billion by 2030, growing at a CAGR of 22.7% over the analysis period 2024-2030. Software Component, one of the segments analyzed in the report, is expected to record a 20.7% CAGR and reach US$1.5 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 26.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$194.3 Million While China is Forecast to Grow at 30.0% CAGR

The Machine Learning for Crop Yield Prediction market in the U.S. is estimated at US$194.3 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$576.9 Million by the year 2030 trailing a CAGR of 30.0% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 18.5% and 20.2% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 19.0% CAGR.

Global Machine Learning for Crop Yield Prediction Market - Key Trends & Drivers Summarized

Why Is Machine Learning for Crop Yield Prediction Gaining Importance?

The agricultural sector is increasingly leveraging machine learning (ML) to enhance efficiency and accuracy in predicting crop yields. With the growing global population and food security concerns, optimizing agricultural productivity has become a top priority. Traditional yield estimation methods rely on historical data and manual observations, which are often inaccurate and time-consuming. Machine learning algorithms, combined with satellite imagery, soil data, climate patterns, and real-time sensor inputs, are revolutionizing how farmers and agribusinesses forecast crop output. This predictive capability allows for better decision-making regarding planting cycles, resource allocation, and supply chain planning, ultimately improving profitability and reducing waste.

How Are Innovations Enhancing the Performance of Crop Yield Prediction?

Recent advancements in artificial intelligence (AI) and big data analytics are enhancing the accuracy and efficiency of crop yield prediction models. Machine learning algorithms can process vast amounts of data, including temperature fluctuations, soil moisture levels, pest infestations, and irrigation patterns, to provide highly accurate yield forecasts. Additionally, remote sensing technology and drones equipped with multispectral cameras are being integrated with ML models to monitor plant health, detect diseases early, and assess nutrient deficiencies. Cloud computing and IoT-enabled sensors further enable real-time data collection and predictive analytics, allowing farmers to make proactive decisions to maximize yields.

What Are the Key Market Drivers?

The increasing adoption of precision agriculture, growing investments in agritech startups, and government initiatives promoting smart farming solutions are key drivers fueling market growth. The rising unpredictability of weather patterns due to climate change has also increased the need for advanced predictive models that can mitigate risks and enhance agricultural sustainability. Moreover, the integration of machine learning with blockchain technology is improving transparency and traceability in the agricultural supply chain, fostering trust among consumers and stakeholders.

What Challenges and Future Opportunities Exist?

Challenges include the high cost of implementing machine learning systems, the need for technical expertise among farmers, and the lack of standardized data collection methods across different agricultural regions. However, opportunities lie in the development of user-friendly AI-powered platforms that simplify data interpretation for farmers. The expansion of ML applications in small-scale farming, improvements in affordable precision agriculture tools, and collaborations between agribusiness firms and tech companies will further drive the growth of this market.

SCOPE OF STUDY:

The report analyzes the Machine Learning for Crop Yield Prediction market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software Component, Services Component); Deployment (Cloud-based Deployment, On-Premise Deployment); Farm Size (Small Farm, Medium Farm, Large Farm); End-User (Farmers End-User, Agricultural Cooperatives End-User, Research Institutions End-User, Government Agencies End-User, Other End-Users)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 36 Featured) -

• Aerobotics Ltd.
• AgriWebb Pty Ltd.
• BASF SE
• Bayer AG
• Ceres Imaging Inc.
• Cropin Technology Solutions Pvt. Ltd.
• CropX Inc.
• FarmWise Labs Inc.
• Fasal
• International Business Machines Corp. (IBM)
• IUNU Inc.
• Keymakr Inc.
• Microsoft Corporation
• Ninjacart
• PrecisionHawk
• Raven Industries Inc.
• Sentera Inc.
• Taranis
• Terramera Inc.
• Trace Genomics Inc.

AI INTEGRATIONS

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TARIFF IMPACT FACTOR

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TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

• 1. MARKET OVERVIEW
  • Influencer Market Insights
  • Tariff Impact on Global Supply Chain Patterns
  • Machine Learning for Crop Yield Prediction - Global Key Competitors Percentage Market Share in 2025 (E)
  • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
• 2. FOCUS ON SELECT PLAYERS
• 3. MARKET TRENDS & DRIVERS
  • Increasing Global Food Security Challenges Throw the Spotlight on Predictive Agricultural Technologies
  • Rising Demand for Precision Agriculture Accelerates Adoption of Machine Learning-Based Yield Forecasting
  • Integration of Satellite Imagery and Remote Sensing Data Strengthens Model Accuracy in Crop Yield Prediction
  • Proliferation of AgriTech Startups and Platforms Propels Innovation in Predictive Farming Tools
  • Climate Change and Weather Volatility Drive Need for Adaptive and Real-Time Crop Monitoring Systems
  • Expansion of Smart Farming Equipment with Sensor Integration Enhances Data Quality for ML Applications
  • Government Initiatives Promoting Digital Farming Boost Adoption of Data-Driven Yield Optimization Solutions
  • Growing Use of IoT Devices in Agriculture Provides Rich Data Streams for ML-Driven Analytics
  • Rising Adoption of Predictive Models by Crop Insurance Providers Improves Risk Assessment and Planning
  • Improved Internet Penetration and Mobile Access in Rural Areas Expands Use of ML Tools by Smallholder Farmers
  • Cloud-Based Agricultural Platforms Facilitate Scalable Deployment of ML Algorithms Across Large Farms
  • Advancements in NLP and Image Recognition Enable Crop Health Detection and Yield Estimation at Scale
  • Data-Driven Decision Support Systems Increase Farmer ROI and Operational Efficiency
• 4. GLOBAL MARKET PERSPECTIVE
  • TABLE 1: World Machine Learning for Crop Yield Prediction Market Analysis of Annual Sales in US$ Thousand for Years 2015 through 2030
  • TABLE 2: World Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 3: World Historic Review for Machine Learning for Crop Yield Prediction by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 4: World 15-Year Perspective for Machine Learning for Crop Yield Prediction by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets for Years 2015, 2025 & 2030
  • TABLE 5: World Recent Past, Current & Future Analysis for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 6: World Historic Review for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 7: World 15-Year Perspective for Software Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 8: World Recent Past, Current & Future Analysis for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 9: World Historic Review for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 10: World 15-Year Perspective for Services Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 11: World Recent Past, Current & Future Analysis for Research Institutions End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 12: World Historic Review for Research Institutions End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 13: World 15-Year Perspective for Research Institutions End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 14: World Recent Past, Current & Future Analysis for Government Agencies End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 15: World Historic Review for Government Agencies End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 16: World 15-Year Perspective for Government Agencies End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 17: World Recent Past, Current & Future Analysis for Other End-Users by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 18: World Historic Review for Other End-Users by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 19: World 15-Year Perspective for Other End-Users by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 20: World Recent Past, Current & Future Analysis for Farmers End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 21: World Historic Review for Farmers End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 22: World 15-Year Perspective for Farmers End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 23: World Recent Past, Current & Future Analysis for Agricultural Cooperatives End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 24: World Historic Review for Agricultural Cooperatives End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 25: World 15-Year Perspective for Agricultural Cooperatives End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 26: World Recent Past, Current & Future Analysis for Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 27: World Historic Review for Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 28: World 15-Year Perspective for Cloud-based Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 29: World Recent Past, Current & Future Analysis for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 30: World Historic Review for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 31: World 15-Year Perspective for On-Premise Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 32: World Recent Past, Current & Future Analysis for Small Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 33: World Historic Review for Small Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 34: World 15-Year Perspective for Small Farm by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 35: World Recent Past, Current & Future Analysis for Medium Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 36: World Historic Review for Medium Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 37: World 15-Year Perspective for Medium Farm by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 38: World Recent Past, Current & Future Analysis for Large Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 39: World Historic Review for Large Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 40: World 15-Year Perspective for Large Farm by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030

III. MARKET ANALYSIS

• UNITED STATES
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
  • TABLE 41: USA Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 42: USA Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 43: USA 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 44: USA Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 45: USA Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 46: USA 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 47: USA Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 48: USA Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 49: USA 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 50: USA Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 51: USA Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 52: USA 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• CANADA
  • TABLE 53: Canada Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 54: Canada Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 55: Canada 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 56: Canada Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 57: Canada Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 58: Canada 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 59: Canada Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 60: Canada Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 61: Canada 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 62: Canada Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 63: Canada Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 64: Canada 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• JAPAN
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
  • TABLE 65: Japan Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 66: Japan Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 67: Japan 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 68: Japan Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 69: Japan Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 70: Japan 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 71: Japan Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 72: Japan Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 73: Japan 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 74: Japan Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 75: Japan Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 76: Japan 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• CHINA
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
  • TABLE 77: China Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 78: China Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 79: China 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 80: China Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 81: China Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 82: China 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 83: China Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 84: China Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 85: China 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 86: China Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 87: China Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 88: China 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• EUROPE
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
  • TABLE 89: Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Geographic Region - France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 90: Europe Historic Review for Machine Learning for Crop Yield Prediction by Geographic Region - France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 91: Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets for Years 2015, 2025 & 2030
  • TABLE 92: Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 93: Europe Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 94: Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 95: Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 96: Europe Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 97: Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 98: Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 99: Europe Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 100: Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 101: Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 102: Europe Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 103: Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• FRANCE
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
  • TABLE 104: France Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 105: France Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 106: France 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 107: France Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 108: France Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 109: France 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 110: France Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 111: France Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 112: France 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 113: France Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 114: France Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 115: France 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• GERMANY
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
  • TABLE 116: Germany Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 117: Germany Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 118: Germany 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 119: Germany Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 120: Germany Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 121: Germany 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 122: Germany Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 123: Germany Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 124: Germany 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 125: Germany Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 126: Germany Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 127: Germany 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• ITALY
  • TABLE 128: Italy Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 129: Italy Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 130: Italy 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 131: Italy Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 132: Italy Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 133: Italy 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 134: Italy Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 135: Italy Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 136: Italy 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 137: Italy Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 138: Italy Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 139: Italy 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• UNITED KINGDOM
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
  • TABLE 140: UK Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 141: UK Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 142: UK 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 143: UK Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 144: UK Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 145: UK 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 146: UK Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 147: UK Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 148: UK 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 149: UK Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 150: UK Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 151: UK 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• SPAIN
  • TABLE 152: Spain Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 153: Spain Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 154: Spain 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 155: Spain Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 156: Spain Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 157: Spain 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 158: Spain Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 159: Spain Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 160: Spain 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 161: Spain Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 162: Spain Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 163: Spain 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• RUSSIA
  • TABLE 164: Russia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 165: Russia Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 166: Russia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 167: Russia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 168: Russia Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 169: Russia 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 170: Russia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 171: Russia Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 172: Russia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 173: Russia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 174: Russia Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 175: Russia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• REST OF EUROPE
  • TABLE 176: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 177: Rest of Europe Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 178: Rest of Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 179: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 180: Rest of Europe Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 181: Rest of Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 182: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 183: Rest of Europe Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 184: Rest of Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 185: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 186: Rest of Europe Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 187: Rest of Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• ASIA-PACIFIC
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
  • TABLE 188: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Geographic Region - Australia, India, South Korea and Rest of Asia-Pacific Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 189: Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Geographic Region - Australia, India, South Korea and Rest of Asia-Pacific Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 190: Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Geographic Region - Percentage Breakdown of Value Sales for Australia, India, South Korea and Rest of Asia-Pacific Markets for Years 2015, 2025 & 2030
  • TABLE 191: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 192: Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 193: Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 194: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 195: Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 196: Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 197: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 198: Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 199: Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 200: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 201: Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 202: Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• AUSTRALIA
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Australia for 2025 (E)
  • TABLE 203: Australia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 204: Australia Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 205: Australia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 206: Australia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 207: Australia Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 208: Australia 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 209: Australia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 210: Australia Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 211: Australia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 212: Australia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 213: Australia Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 214: Australia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• INDIA
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in India for 2025 (E)
  • TABLE 215: India Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 216: India Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 217: India 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 218: India Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 219: India Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 220: India 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 221: India Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 222: India Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 223: India 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 224: India Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 225: India Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 226: India 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• SOUTH KOREA
  • TABLE 227: South Korea Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 228: South Korea Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 229: South Korea 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 230: South Korea Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 231: South Korea Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 232: South Korea 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 233: South Korea Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 234: South Korea Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 235: South Korea 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 236: South Korea Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 237: South Korea Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 238: South Korea 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• REST OF ASIA-PACIFIC
  • TABLE 239: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 240: Rest of Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 241: Rest of Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 242: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 243: Rest of Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 244: Rest of Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 245: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 246: Rest of Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 247: Rest of Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 248: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 249: Rest of Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 250: Rest of Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• LATIN AMERICA
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Latin America for 2025 (E)
  • TABLE 251: Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Geographic Region - Argentina, Brazil, Mexico and Rest of Latin America Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 252: Latin America Historic Review for Machine Learning for Crop Yield Prediction by Geographic Region - Argentina, Brazil, Mexico and Rest of Latin America Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 253: Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Geographic Region - Percentage Breakdown of Value Sales for Argentina, Brazil, Mexico and Rest of Latin America Markets for Years 2015, 2025 & 2030
  • TABLE 254: Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 255: Latin America Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 256: Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 257: Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 258: Latin America Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 259: Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 260: Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 261: Latin America Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 262: Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 263: Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 264: Latin America Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 265: Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• ARGENTINA
  • TABLE 266: Argentina Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 267: Argentina Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 268: Argentina 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 269: Argentina Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 270: Argentina Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 271: Argentina 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 272: Argentina Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 273: Argentina Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 274: Argentina 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 275: Argentina Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 276: Argentina Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 277: Argentina 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• BRAZIL
  • TABLE 278: Brazil Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 279: Brazil Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 280: Brazil 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 281: Brazil Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 282: Brazil Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 283: Brazil 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 284: Brazil Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 285: Brazil Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 286: Brazil 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 287: Brazil Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 288: Brazil Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 289: Brazil 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• MEXICO
  • TABLE 290: Mexico Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 291: Mexico Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 292: Mexico 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 293: Mexico Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 294: Mexico Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 295: Mexico 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 296: Mexico Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 297: Mexico Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 298: Mexico 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 299: Mexico Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 300: Mexico Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 301: Mexico 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• REST OF LATIN AMERICA
  • TABLE 302: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 303: Rest of Latin America Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 304: Rest of Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 305: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 306: Rest of Latin America Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 307: Rest of Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 308: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 309: Rest of Latin America Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 310: Rest of Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 311: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 312: Rest of Latin America Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 313: Rest of Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• MIDDLE EAST
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Middle East for 2025 (E)
  • TABLE 314: Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Geographic Region - Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 315: Middle East Historic Review for Machine Learning for Crop Yield Prediction by Geographic Region - Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 316: Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Geographic Region - Percentage Breakdown of Value Sales for Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets for Years 2015, 2025 & 2030
  • TABLE 317: Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 318: Middle East Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 319: Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 320: Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 321: Middle East Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 322: Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 323: Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 324: Middle East Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 325: Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 326: Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 327: Middle East Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 328: Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• IRAN
  • TABLE 329: Iran Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 330: Iran Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 331: Iran 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 332: Iran Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 333: Iran Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 334: Iran 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 335: Iran Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 336: Iran Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 337: Iran 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 338: Iran Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 339: Iran Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 340: Iran 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• ISRAEL
  • TABLE 341: Israel Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 342: Israel Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 343: Israel 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 344: Israel Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 345: Israel Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 346: Israel 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 347: Israel Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 348: Israel Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 349: Israel 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 350: Israel Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 351: Israel Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 352: Israel 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• SAUDI ARABIA
  • TABLE 353: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 354: Saudi Arabia Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 355: Saudi Arabia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 356: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 357: Saudi Arabia Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 358: Saudi Arabia 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 359: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 360: Saudi Arabia Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 361: Saudi Arabia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 362: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 363: Saudi Arabia Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 364: Saudi Arabia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• UNITED ARAB EMIRATES
  • TABLE 365: UAE Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 366: UAE Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 367: UAE 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 368: UAE Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 369: UAE Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 370: UAE 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 371: UAE Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 372: UAE Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 373: UAE 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 374: UAE Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 375: UAE Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 376: UAE 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• REST OF MIDDLE EAST
  • TABLE 377: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 378: Rest of Middle East Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 379: Rest of Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 380: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 381: Rest of Middle East Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 382: Rest of Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 383: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 384: Rest of Middle East Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 385: Rest of Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 386: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 387: Rest of Middle East Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 388: Rest of Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• AFRICA
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Africa for 2025 (E)
  • TABLE 389: Africa Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 390: Africa Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 391: Africa 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 392: Africa Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 393: Africa Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 394: Africa 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 395: Africa Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 396: Africa Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 397: Africa 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 398: Africa Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 399: Africa Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 400: Africa 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030

IV. COMPETITION