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農業における応用AIの世界市場レポート 2025年

Applied AI In Agriculture Global Market Report 2025

出版日
ページ情報
英文 200 Pages
納期
2～10営業日
カスタマイズ可能
適宜更新あり
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
農業における応用AIの世界市場レポート 2025年
出版日: 2025年04月03日
発行: The Business Research Company
ページ情報: 英文 200 Pages
納期: 2～10営業日
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  • 概要
  • 目次
概要

農業における応用AI市場規模は、今後数年で飛躍的な成長が見込まれます。2029年にはCAGR29.4％で105億米ドルに成長します。予測期間の成長は、精密農業の需要増加、政府の取り組み、補助金、食糧安全保障の需要増加、アグリテック新興企業への投資、データ主導の意思決定に起因しています。予測期間における主な動向には、精密農業の成長、AIを活用した予測分析、自動化とロボット工学、スマート灌漑システム、AIを活用した作物育種などがあります。

作物生産性の向上は、今後の農業における応用AI市場の拡大を牽引すると予想されます。農作物の生産性とは、農作物の生産量を指し、一般的には単位面積当たりの収穫量で測定されます。これは、改良作物品種の開発、より効率的な灌漑方法、精密農業技術の採用など、農業技術や慣行の進歩により増加しています。農業における応用AIは、データ主導の洞察、予測分析、自動化によって農作業を最適化することで、農作物の生産性向上に貢献します。例えば、2024年1月、米国農務省（USDA）は、2023年の米国産米の平均収量が1エーカー当たり7,649ポンドと推定され、2022年の平均収量7,385ポンドから264ポンド増加したと報告しました。その結果、作物生産性の上昇が農業における応用AI市場の成長を後押ししています。

農業における応用AI市場の主なプレーヤーは、市場での地位を維持するために、AIベースのツールなどの革新的なソリューションの開発に注力しています。これらのAIベースのツールは、農業や農作業の様々な側面を改善するために人工知能を活用するソフトウェアや技術です。例えば、2024年7月、米国のテクノロジー企業であるグーグルLLCは、干ばつへの備えと灌漑管理に重点を置いたインドの農業慣行を強化するため、農業景観理解（ALU）と呼ばれるAIベースのツールを発表しました。ALUツールは、高解像度の衛星画像と機械学習を用いて、個々の農地に合わせた洞察を提供し、インドの農業景観の多様なニーズに対応します。圃場の境界を明確に定義することで、作物の種類、圃場の大きさ、水源への近さなど、効果的な灌漑や干ばつ管理戦略に不可欠な要素を分析します。このイニシアチブは、農作物の収量を向上させ、資本へのアクセスを容易にし、農産物の市場アクセスを強化することで、農民の力を高めることを目的としています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、新型コロナウイルス感染症、そして景気回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

  • 世界農業における応用AI PESTEL分析（政治、社会、技術、環境、法的要因、促進要因と抑制要因）
  • 最終用途産業の分析
  • 世界の農業における応用AI市場：成長率分析
  • 世界の農業における応用AI市場の実績：規模と成長, 2019-2024
  • 世界の農業における応用AI市場の予測：規模と成長, 2024-2029, 2034F
  • 世界農業における応用AI総アドレス可能市場（TAM）

第6章 市場セグメンテーション

  • 世界の農業における応用AI市場：コンポーネント別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • ハードウェア
  • ソフトウェア
  • サービス
  • 世界の農業における応用AI市場：技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 機械学習とディープラーニング
  • 予測分析
  • コンピュータービジョン
  • 世界の農業における応用AI市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 精密農業
  • ドローン分析
  • 農業ロボット
  • 家畜監視
  • その他の用途
  • 世界の農業における応用AI市場、ハードウェアの種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
  • センサー（土壌、気候、作物の監視）
  • 農作物監視用ドローン
  • 自動トラクターと収穫機
  • 精密農業のためのGPSとGISシステム
  • イメージングシステム
  • 農業監視用IoTデバイス
  • 種まき、植え付け、除草のためのロボット工学
  • 世界の農業における応用AI市場ソフトウェアの種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 農場管理ソフトウェア
  • AIベースの作物予測ソフトウェア
  • 精密農業ソフトウェア
  • 灌漑管理ソフトウェア
  • 害虫・病気検出ソフトウェア
  • データ分析と可視化ツール
  • サプライチェーン最適化ソフトウェア
  • 収穫量予測のための機械学習アルゴリズム
  • 世界の農業における応用AI市場、サービスの種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
  • AI統合および実装サービス
  • 作物と土壌分析のためのデータ分析サービス
  • クラウドベースの農業サービス
  • AIモデルのトレーニングとカスタマイズサービス
  • メンテナンスおよびサポートサービス
  • 農業におけるAI導入に関するコンサルティングおよびアドバイザリーサービス

第7章 地域別・国別分析

  • 世界の農業における応用AI市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 世界の農業における応用AI市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • 農業における応用AI市場：競合情勢
  • 農業における応用AI市場：企業プロファイル
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • BASF SE Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation（IBM）Overview, Products and Services, Strategy and Financial Analysis
    • Bayer AG Overview, Products and Services, Strategy and Financial Analysis
    • Deere & Company Overview, Products and Services, Strategy and Financial Analysis

第31章 その他の大手企業と革新的企業

  • SAP SE
  • CNH Industrial N.V.
  • Kubota Corporation
  • Corteva Inc.
  • AGCO Corporation
  • Trimble Inc.
  • Raven Industries Inc.
  • The Climate Corporation
  • AG Leader Technology
  • The BAE Systems Taranis
  • Farmers Edge Inc.
  • PrecisionHawk
  • AgEagle Aerial Systems
  • Descartes Labs Inc.
  • Prospera Technologies Ltd.

第32章 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

  • 農業における応用AI市場2029：新たな機会を提供する国
  • 農業における応用AI市場2029：新たな機会を提供するセグメント
  • 農業における応用AI市場2029：成長戦略
    • 市場動向に基づく戦略
    • 競合の戦略

第36章 付録

目次
Product Code: r31607

Applied artificial intelligence (AI) in agriculture involves using AI technologies to optimize and enhance various farming practices. This includes employing AI-driven tools and systems to analyze data, automate tasks, and provide actionable insights that improve decision-making and efficiency in agriculture.

The main components of applied AI in agriculture are hardware, software, and services. Hardware refers to the physical devices and equipment used to deploy AI technologies, such as sensors, drones, cameras, and other machinery that collect field data. Various technologies, including machine learning and deep learning, predictive analytics, and computer vision, are utilized in applications such as precision farming, drone analytics, agricultural robotics, livestock monitoring, and more.

The applied AI in agriculture market research report is one of a series of new reports from The Business Research Company that provides applied AI in agriculture market statistics, including applied AI in agriculture industry global market size, regional shares, competitors with a applied AI in agriculture market share, detailed applied AI in agriculture market segments, market trends and opportunities, and any further data you may need to thrive in the applied AI in agriculture industry. This applied AI in agriculture market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The applied ai in agriculture market size has grown exponentially in recent years. It will grow from $2.89 $ billion in 2024 to $3.75 $ billion in 2025 at a compound annual growth rate (CAGR) of 29.7%. The growth in the historic period can be attributed to data availability and collection, technological advancements, labor shortages, climate change and sustainability, and environmental concerns.

The applied ai in agriculture market size is expected to see exponential growth in the next few years. It will grow to $10.5 $ billion in 2029 at a compound annual growth rate (CAGR) of 29.4%. The growth in the forecast period can be attributed to increasing demand for precision farming, government initiatives, and subsidies, increasing demand for food security, investment in agritech startups, and data-driven decision-making. Major trends in the forecast period include precision agriculture growth, AI-powered predictive analytics, automation and robotics, smart irrigation systems, and AI-enhanced crop breeding.

The growing crop productivity is expected to drive the expansion of the applied AI in agriculture market moving forward. Crop productivity refers to the output of crops, typically measured in terms of yield per unit area of land. This is increasing due to advancements in agricultural technologies and practices, such as the development of improved crop varieties, more efficient irrigation methods, and the adoption of precision farming techniques. Applied AI in agriculture contributes to higher crop productivity by optimizing farming practices with data-driven insights, predictive analytics, and automation. For example, in January 2024, the United States Department of Agriculture (USDA) reported that the average yield for U.S. rice in 2023 was estimated at 7,649 pounds per acre, an increase of 264 pounds from the 2022 average yield of 7,385 pounds per acre. As a result, the rise in crop productivity is fueling the growth of the applied AI in agriculture market.

Key players in the applied AI in agriculture market are focusing on developing innovative solutions, such as AI-based tools, to maintain their market position. These AI-based tools are software and technologies that leverage artificial intelligence to improve various aspects of farming and agricultural practices. For example, in July 2024, Google LLC, a US-based technology company, introduced an AI-based tool called Agricultural Landscape Understanding (ALU) to enhance agricultural practices in India, with a focus on drought preparedness and irrigation management. The ALU tool uses high-resolution satellite imagery and machine learning to offer tailored insights for individual farm fields, addressing the diverse needs of India's agricultural landscape. By defining clear field boundaries, the tool analyzes factors such as crop type, field size, and proximity to water sources, which are vital for effective irrigation and drought management strategies. This initiative aims to empower farmers by improving crop yields, facilitating access to capital, and enhancing market access for agricultural products.

In August 2023, PTx Trimble, a US-based farming company, acquired Bilberry for an undisclosed amount. This acquisition is intended to boost Trimble's precision agriculture capabilities, particularly in selective spraying technologies. Bilberry, also a US-based company, specializes in AI-driven weed recognition systems that enable precise herbicide application.

Major companies operating in the applied ai in agriculture market are Microsoft Corporation, BASF SE, International Business Machines Corporation, Bayer AG, Deere & Company, SAP SE, CNH Industrial N.V., Kubota Corporation, Corteva Inc., AGCO Corporation, Trimble Inc., Raven Industries Inc., The Climate Corporation, AG Leader Technology, The BAE Systems Taranis, Farmers Edge Inc., PrecisionHawk, AgEagle Aerial Systems, Descartes Labs Inc., Prospera Technologies Ltd., Agribotix, Gamaya

North America was the largest region in the applied AI in agriculture market in 2023. The regions covered in the applied ai in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the applied ai in agriculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The applied AI in agriculture market consists of revenues earned by entities by providing services such as crop management, livestock monitoring, soil analysis, weather prediction, pest and disease detection, and supply chain optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The applied AI in agriculture market also includes sales of sensors, robots, satellite imagery systems, and field cameras. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Applied AI In Agriculture Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on applied ai in agriculture market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for applied ai in agriculture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The applied ai in agriculture market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Hardware; Software; Service
  • 2) By Technology: Machine Learning And Deep Learning; Predictive Analytics; Computer Vision
  • 3) By Application: Precision Farming; Drone Analytics; Agriculture Robots; Livestock Monitoring; Other Applications
  • Subsegments:
  • 1) By Hardware: Sensors (Soil, Climate, Crop Monitoring); Drones For Crop Surveillance; Automated Tractors And Harvesters; GPS & GIS Systems For Precision Farming; Imaging Systems; IoT Devices For Agricultural Monitoring; Robotics For Seeding, Planting, And Weeding
  • 2) By Software: Farm Management Software; AI-Based Crop Prediction Software; Precision Agriculture Software; Irrigation Management Software; Pest And Disease Detection Software; Data Analytics And Visualization Tools; Supply Chain Optimization Software; Machine Learning Algorithms For Yield Prediction
  • 3) By Service: AI Integration And Implementation Services; Data Analytics Services For Crop And Soil Analysis; Cloud-Based Agricultural Services; AI Model Training And Customization Services; Maintenance And Support Services; Consultation And Advisory Services For AI Adoption In Agriculture
  • Companies Mentioned: Microsoft Corporation; BASF SE; International Business Machines Corporation; Bayer AG; Deere & Company
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Applied AI In Agriculture Market Characteristics

3. Applied AI In Agriculture Market Trends And Strategies

4. Applied AI In Agriculture Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Applied AI In Agriculture Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Applied AI In Agriculture PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Applied AI In Agriculture Market Growth Rate Analysis
  • 5.4. Global Applied AI In Agriculture Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Applied AI In Agriculture Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Applied AI In Agriculture Total Addressable Market (TAM)

6. Applied AI In Agriculture Market Segmentation

  • 6.1. Global Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • Service
  • 6.2. Global Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning And Deep Learning
  • Predictive Analytics
  • Computer Vision
  • 6.3. Global Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Precision Farming
  • Drone Analytics
  • Agriculture Robots
  • Livestock Monitoring
  • Other Applications
  • 6.4. Global Applied AI In Agriculture Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Sensors (Soil, Climate, Crop Monitoring)
  • Drones For Crop Surveillance
  • Automated Tractors And Harvesters
  • GPS & GIS Systems For Precision Farming
  • Imaging Systems
  • IoT Devices For Agricultural Monitoring
  • Robotics For Seeding, Planting, And Weeding
  • 6.5. Global Applied AI In Agriculture Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Farm Management Software
  • AI-Based Crop Prediction Software
  • Precision Agriculture Software
  • Irrigation Management Software
  • Pest And Disease Detection Software
  • Data Analytics And Visualization Tools
  • Supply Chain Optimization Software
  • Machine Learning Algorithms For Yield Prediction
  • 6.6. Global Applied AI In Agriculture Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Integration And Implementation Services
  • Data Analytics Services For Crop And Soil Analysis
  • Cloud-Based Agricultural Services
  • AI Model Training And Customization Services
  • Maintenance And Support Services
  • Consultation And Advisory Services For AI Adoption In Agriculture

7. Applied AI In Agriculture Market Regional And Country Analysis

  • 7.1. Global Applied AI In Agriculture Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Applied AI In Agriculture Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Applied AI In Agriculture Market

  • 8.1. Asia-Pacific Applied AI In Agriculture Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Applied AI In Agriculture Market

  • 9.1. China Applied AI In Agriculture Market Overview
  • 9.2. China Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Applied AI In Agriculture Market

  • 10.1. India Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Applied AI In Agriculture Market

  • 11.1. Japan Applied AI In Agriculture Market Overview
  • 11.2. Japan Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Applied AI In Agriculture Market

  • 12.1. Australia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Applied AI In Agriculture Market

  • 13.1. Indonesia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Applied AI In Agriculture Market

  • 14.1. South Korea Applied AI In Agriculture Market Overview
  • 14.2. South Korea Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Applied AI In Agriculture Market

  • 15.1. Western Europe Applied AI In Agriculture Market Overview
  • 15.2. Western Europe Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Applied AI In Agriculture Market

  • 16.1. UK Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Applied AI In Agriculture Market

  • 17.1. Germany Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Applied AI In Agriculture Market

  • 18.1. France Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Applied AI In Agriculture Market

  • 19.1. Italy Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Applied AI In Agriculture Market

  • 20.1. Spain Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Applied AI In Agriculture Market

  • 21.1. Eastern Europe Applied AI In Agriculture Market Overview
  • 21.2. Eastern Europe Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Applied AI In Agriculture Market

  • 22.1. Russia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Applied AI In Agriculture Market

  • 23.1. North America Applied AI In Agriculture Market Overview
  • 23.2. North America Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Applied AI In Agriculture Market

  • 24.1. USA Applied AI In Agriculture Market Overview
  • 24.2. USA Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Applied AI In Agriculture Market

  • 25.1. Canada Applied AI In Agriculture Market Overview
  • 25.2. Canada Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Applied AI In Agriculture Market

  • 26.1. South America Applied AI In Agriculture Market Overview
  • 26.2. South America Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Applied AI In Agriculture Market

  • 27.1. Brazil Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Applied AI In Agriculture Market

  • 28.1. Middle East Applied AI In Agriculture Market Overview
  • 28.2. Middle East Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Applied AI In Agriculture Market

  • 29.1. Africa Applied AI In Agriculture Market Overview
  • 29.2. Africa Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Applied AI In Agriculture Market Competitive Landscape And Company Profiles

  • 30.1. Applied AI In Agriculture Market Competitive Landscape
  • 30.2. Applied AI In Agriculture Market Company Profiles
    • 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. BASF SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Bayer AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Deere & Company Overview, Products and Services, Strategy and Financial Analysis

31. Applied AI In Agriculture Market Other Major And Innovative Companies

  • 31.1. SAP SE
  • 31.2. CNH Industrial N.V.
  • 31.3. Kubota Corporation
  • 31.4. Corteva Inc.
  • 31.5. AGCO Corporation
  • 31.6. Trimble Inc.
  • 31.7. Raven Industries Inc.
  • 31.8. The Climate Corporation
  • 31.9. AG Leader Technology
  • 31.10. The BAE Systems Taranis
  • 31.11. Farmers Edge Inc.
  • 31.12. PrecisionHawk
  • 31.13. AgEagle Aerial Systems
  • 31.14. Descartes Labs Inc.
  • 31.15. Prospera Technologies Ltd.

32. Global Applied AI In Agriculture Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Applied AI In Agriculture Market

34. Recent Developments In The Applied AI In Agriculture Market

35. Applied AI In Agriculture Market High Potential Countries, Segments and Strategies

  • 35.1 Applied AI In Agriculture Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Applied AI In Agriculture Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Applied AI In Agriculture Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer