農業におけるジェネレーティブ人工知能（AI）の世界市場レポート 2025年

農業におけるジェネレーティブ人工知能（AI）の市場規模は、今後数年間で飛躍的な成長が見込まれます。2029年にはCAGR27.3％で7億3,000万米ドルに成長します。予測期間の成長は、パーソナライズされた金融サービスへの需要、業務の合理化のための既存の銀行システムとのAIの統合、リスク管理における予測分析の必要性、顧客の信頼と透明性の強化への注力、データプライバシー懸念への対処の緊急性、AIイニシアチブをサポートするための労働力スキルの急速な進化、市場優位性を維持するために高度なAI技術を活用するための競合圧力に起因すると考えられます。予測期間における主な動向としては、リスク管理および不正検出システムへのジェネレーティブAIの統合、アルゴリズム取引および投資戦略におけるAI機能の拡大、自動レポートによる規制コンプライアンスの強化、顧客サービスのためのAI搭載バーチャルアシスタントの台頭、市場予測のための高度な予測アナリティクスの開発、AIアプリケーションの透明性と公平性を確保するための倫理的AIプラクティスの重視の高まりなどが挙げられます。

作物収量の増加は、農業におけるジェネレーティブAI市場を押し上げると予想されます。作物収量とは、土地の単位面積当たりに得られる農産物の量を指します。作物収量の増加は、農業慣行の進歩、改良された種子品種、技術革新、より良い害虫管理、効率的な灌漑、土壌管理の強化、気候適応、継続的な研究開発など、いくつかの要因に起因します。農業におけるジェネレーティブAIは、栽培条件、資源配分、管理方法の正確な予測や強化を容易にし、生産性の向上と無駄の削減につながるため、作物収量の最適化には不可欠です。例えば、環境・食糧・農村地域省は2024年2月、小麦、大麦、オート麦、雑穀を含む英国の穀物総生産量が2022年にほぼ2,430万トンに達したと報告しました。これは2021年から8％増加したことになり、価格の上昇と生産量の増加により、生産額は54％増の約79億米ドル（62億英ポンド）に達しました。したがって、作物収量の増加が農業におけるジェネレーティブAI市場の拡大を促進しています。

農業におけるジェネレーティブAI市場の主要企業は、農業慣行を改善するためにジェネレーティブAIシステムなどの先進技術を開発しています。ジェネレーティブAIシステムは、元のデータセットの特性を再現した新しいデータサンプルを作成することができ、画像生成、テキスト作成、データ増強などのタスクによく使用されます。例えば、2024年4月、インドを拠点とするアグリテック企業Cropin Technology社は、Aksaraを発表しました。この最先端の生成的AIシステムは、気候変動に対応した農業用に設計されており、インド亜大陸の6カ国にわたり、水稲、小麦、トウモロコシ、ソルガム、大麦、綿花、サトウキビ、大豆、雑穀の9つの主要作物について、それぞれに合った推奨作物を提供します。Aksaraは、特定の農業気候条件に基づいて作物投入と気候スマートプラクティスに関する実用的な洞察を提供し、世界・サウスで十分なサービスを受けていない農業コミュニティが直面する課題の克服を支援し、拡張可能なAI主導のソリューションで農業セクターの利害関係者に力を与えます。

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

• 世界農業におけるジェネレーティブ人工知能（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ジェネレーティブ人工知能（AI）市場：成長率分析
• 世界の農業におけるジェネレーティブ人工知能（AI）市場の実績：規模と成長, 2019-2024
• 世界の農業におけるジェネレーティブ人工知能（AI）市場の予測：規模と成長, 2024-2029, 2034F
• 世界農業におけるジェネレーティブ人工知能（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ジェネレーティブ人工知能（AI）市場：作物タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 小麦
• 米
• トウモロコシ
• 野菜
• その他の作物の種類
• 世界の農業におけるジェネレーティブ人工知能（AI）市場：技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ディープラーニング
• コンピュータービジョン
• 機械学習
• 自然言語処理
• ロボット工学
• 世界の農業におけるジェネレーティブ人工知能（AI）市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 精密農業
• 畜産管理
• 作物管理
• 土壌分析
• その他の用途
• 世界の農業におけるジェネレーティブ人工知能（AI）市場：エンドユーザー業界別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 農家
• 農業テクノロジー企業
• 農業コンサルタント
• 政府機関
• 調査機関
• 世界の農業におけるジェネレーティブ人工知能（AI）市場小麦の種類別細分化、実績と予測, 2019-2024, 2024-2029F, 2034F
• 硬質赤冬小麦
• ソフトレッドウィンター小麦
• ハードレッドスプリング小麦
• デュラム小麦
• 世界の農業におけるジェネレーティブ人工知能（AI）市場米の種類別細分化、実績と予測, 2019-2024, 2024-2029F, 2034F
• バスマティライス
• ジャスミンライス
• 長粒米
• 短粒米
• 世界の農業におけるジェネレーティブ人工知能（AI）市場トウモロコシの種類別細分化、実績と予測, 2019-2024, 2024-2029F, 2034F
• スイートコーン
• フィールドコーン
• フリントコーン
• ポップコーン
• 世界の農業におけるジェネレーティブ人工知能（AI）市場野菜の種類別細分化、実績と予測, 2019-2024, 2024-2029F, 2034F
• 葉物野菜
• 根菜
• アブラナ科の野菜
• ナス科野菜
• 世界の農業におけるジェネレーティブ人工知能（AI）市場、その他の作物の種類別のサブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• 果物
• パルス
• 油糧種子
• 繊維作物

第7章 地域別・国別分析

• 世界の農業におけるジェネレーティブ人工知能（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ジェネレーティブ人工知能（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

• 農業におけるジェネレーティブ人工知能（AI）市場：競合情勢
• 農業におけるジェネレーティブ人工知能（AI）市場：企業プロファイル
  • Bayer AG Overview, Products and Services, Strategy and Financial Analysis
  • Benson Hill Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Raven Industries Inc. Overview, Products and Services, Strategy and Financial Analysis
  • AgroStar Overview, Products and Services, Strategy and Financial Analysis
  • FarmWise Labs Inc. 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

• Sentera Inc.
• Farmers Edge Inc.
• Taranis
• AeroFarms LLC
• Ceres Imaging Inc.
• CropX Inc.
• FarmBot
• Source AG
• FarmLogs
• Fasal
• AgriWebb Pty Ltd.
• Ecorobotix Ltd.
• IUNU Inc.
• Trace Genomics Inc.
• KisanHub

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

• 農業におけるジェネレーティブ人工知能（AI）市場2029：新たな機会を提供する国
• 農業におけるジェネレーティブ人工知能（AI）市場2029：新たな機会を提供するセグメント
• 農業におけるジェネレーティブ人工知能（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

Generative artificial intelligence (AI) in agriculture involves applying advanced AI techniques, particularly generative models, to improve various farming and agricultural practices. These models analyze historical data, weather patterns, and soil conditions to predict crop yields, aiming to make agriculture more productive, sustainable, and efficient. This enhancement helps strengthen food systems and increase food security.

The primary crops involved in generative AI applications include wheat, rice, corn, vegetables, and others. Wheat, a staple grain used mainly for making flour for bread, pasta, and other baked goods, benefits from generative AI technologies such as deep learning, computer vision, machine learning, natural language processing, and robotics. These technologies are applied in areas like precision farming, livestock management, crop management, and soil analysis. End-users of these AI applications include farmers, agricultural technology companies, agricultural consultants, government agencies, and research institutions.

The generative AI in agriculture market research report is one of a series of new reports from The Business Research Company that provides generative AI in agriculture market statistics, including generative AI in agriculture industry global market size, regional shares, competitors with a generative AI in agriculture market share, detailed generative AI in agriculture market segments, market trends and opportunities, and any further data you may need to thrive in the generative AI in agriculture industry. This generative 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 generative artificial intelligence (AI) in agriculture market size has grown exponentially in recent years. It will grow from $0.22 $ billion in 2024 to $0.28 $ billion in 2025 at a compound annual growth rate (CAGR) of 27.7%. The growth in the historic period can be attributed to the digital transformation of financial services, the need for enhanced customer experiences, the rise of data analytics capabilities, increasing regulatory compliance demands, the necessity for fraud detection and risk management, growing importance of operational efficiency and cost reduction.

The generative artificial intelligence (AI) in agriculture market size is expected to see exponential growth in the next few years. It will grow to $0.73 $ billion in 2029 at a compound annual growth rate (CAGR) of 27.3%. The growth in the forecast period can be attributed to the demand for personalized financial services, integration of AI with existing banking systems for streamlined operations, need for predictive analytics in risk management, focus on enhancing customer trust and transparency, urgency to address data privacy concerns, rapid evolution of workforce skills to support AI initiatives, competitive pressure to leverage advanced AI technologies for maintaining market advantage. Major trends in the forecast period include the integration of generative AI into risk management and fraud detection systems, expansion of AI capabilities in algorithmic trading and investment strategies, enhancement of regulatory compliance through automated reporting, the rise of AI-powered virtual assistants for customer service, development of advanced predictive analytics for market forecasting, growing emphasis on ethical AI practices to ensure transparency and fairness in AI applications.

The growth in crop yields is anticipated to boost the generative AI in agriculture market. Crop yields refer to the amount of produce obtained per unit area of land. The increase in crop yield rates can be attributed to several factors, including advancements in agricultural practices, improved seed varieties, technological innovations, better pest management, efficient irrigation, enhanced soil management, climate adaptation, and ongoing research and development. Generative AI in agriculture is essential for optimizing crop yields because it facilitates precise predictions and enhancements in growing conditions, resource allocation, and management practices, leading to greater productivity and reduced waste. For example, the Department for Environment, Food and Rural Affairs reported in February 2024 that the UK's total cereal production, including wheat, barley, oats, and minor cereals, reached nearly 24.3 million metric tons in 2022. This represents an 8% increase from 2021, with the production value rising by 54% to about $7.9 billion (£6.2 billion) due to higher prices and increased output. Hence, the rise in crop yields is driving the expansion of the generative AI in agriculture market.

Leading companies in the generative AI in agriculture market are developing advanced technologies, such as generative AI systems, to improve agricultural practices. Generative AI systems are capable of creating new data samples that replicate the characteristics of an original dataset, often used for tasks such as image generation, text creation, and data augmentation. For instance, in April 2024, Cropin Technology, an agritech company based in India, launched Aksara. This cutting-edge generative AI system is designed for climate-smart agriculture and provides tailored recommendations for nine major crops-paddy, wheat, maize, sorghum, barley, cotton, sugarcane, soybeans, and millets-across six countries in the Indian subcontinent. Aksara delivers actionable insights on crop inputs and climate-smart practices based on specific agro-climatic conditions, helping to overcome challenges faced by underserved farming communities in the Global South and empowering agriculture sector stakeholders with scalable, AI-driven solutions.

In September 2023, SAP SE, a German company specializing in generative AI solutions for agriculture, partnered with Vista GmbH. This collaboration aims to offer an integrated solution that enables agribusinesses, food companies, and public sector organizations to leverage crop predictions based on Vista's advanced crop growth and digital twin models. The integration allows users to seamlessly incorporate these insights into their business processes through SAP Intelligent Agriculture. Vista GmbH is a German provider of generative AI solutions for agriculture.

Major companies operating in the generative artificial intelligence (AI) in agriculture market are Bayer AG, Benson Hill Inc., Raven Industries Inc., AgroStar, FarmWise Labs Inc., Sentera Inc., Farmers Edge Inc., Taranis, AeroFarms LLC, Ceres Imaging Inc., CropX Inc., FarmBot, Source AG, FarmLogs, Fasal, AgriWebb Pty Ltd., Ecorobotix Ltd., IUNU Inc., Trace Genomics Inc., KisanHub, Agmatix, Agroop, Aker Technologies Inc., Bloomfield Robotics, SmartFarm, Harvest CROO LLC

North America was the largest region in the generative AI in agriculture market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative artificial intelligence (AI) in agriculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative AI in agriculture market consists of revenues earned by entities by providing services such as pest and disease detection, soil health monitoring, irrigation management and genetic analysis for breeding. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in agriculture market also includes sales of supply chain optimization software, AI-driven crop monitoring systems, yield prediction software and soil health analysis kits. 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.

Generative Artificial Intelligence (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 generative artificial intelligence (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 generative artificial intelligence (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 generative artificial intelligence (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 Crop Type: Wheat; Rice; Corn; Vegetables; Other Crop Types
• 2) By Technology: Deep Learning; Computer Vision; Machine Learning; Natural Language Processing; Robotics
• 3) By Application: Precision Farming; Livestock Management; Crop Management; Soil Analysis; Other Applications
• 4) By End User Industry: Farmer; Agriculture Technology Companies; Agriculture Consultants; Government Agencies; Research Institutions
• Subsegments:
• 1) By Wheat: Hard Red Winter Wheat; Soft Red Winter Wheat; Hard Red Spring Wheat; Durum Wheat
• 2) By Rice: Basmati Rice; Jasmine Rice; Long-Grain Rice; Short-Grain Rice
• 3) By Corn: Sweet Corn; Field Corn; Flint Corn; Popcorn
• 4) By Vegetables: Leafy Greens; Root Vegetables; Cruciferous Vegetables; Solanaceous Vegetables
• 5) By Other Crop Types: Fruits; Pulses; Oilseeds; Fiber Crops
• Companies Mentioned: Bayer AG; Benson Hill Inc.; Raven Industries Inc.; AgroStar; FarmWise Labs Inc.
• 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. Generative Artificial Intelligence (AI) In Agriculture Market Characteristics

3. Generative Artificial Intelligence (AI) In Agriculture Market Trends And Strategies

4. Generative Artificial Intelligence (AI) In Agriculture Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Generative Artificial Intelligence (AI) In Agriculture Growth Analysis And Strategic Analysis Framework

• 5.1. Global Generative Artificial Intelligence (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 Generative Artificial Intelligence (AI) In Agriculture Market Growth Rate Analysis
• 5.4. Global Generative Artificial Intelligence (AI) In Agriculture Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Generative Artificial Intelligence (AI) In Agriculture Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Generative Artificial Intelligence (AI) In Agriculture Total Addressable Market (TAM)

6. Generative Artificial Intelligence (AI) In Agriculture Market Segmentation

• 6.1. Global Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Wheat
• Rice
• Corn
• Vegetables
• Other Crop Types
• 6.2. Global Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Deep Learning
• Computer Vision
• Machine Learning
• Natural Language Processing
• Robotics
• 6.3. Global Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Precision Farming
• Livestock Management
• Crop Management
• Soil Analysis
• Other Applications
• 6.4. Global Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Farmer
• Agriculture Technology Companies
• Agriculture Consultants
• Government Agencies
• Research Institutions
• 6.5. Global Generative Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Wheat, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Hard Red Winter Wheat
• Soft Red Winter Wheat
• Hard Red Spring Wheat
• Durum Wheat
• 6.6. Global Generative Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Rice, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Basmati Rice
• Jasmine Rice
• Long-Grain Rice
• Short-Grain Rice
• 6.7. Global Generative Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Corn, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Sweet Corn
• Field Corn
• Flint Corn
• Popcorn
• 6.8. Global Generative Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Vegetables, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Leafy Greens
• Root Vegetables
• Cruciferous Vegetables
• Solanaceous Vegetables
• 6.9. Global Generative Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Other Crop Types, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Fruits
• Pulses
• Oilseeds
• Fiber Crops

7. Generative Artificial Intelligence (AI) In Agriculture Market Regional And Country Analysis

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

8. Asia-Pacific Generative Artificial Intelligence (AI) In Agriculture Market

• 8.1. Asia-Pacific Generative Artificial Intelligence (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 Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Generative Artificial Intelligence (AI) In Agriculture Market

• 9.1. China Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 9.2. China Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Generative Artificial Intelligence (AI) In Agriculture Market

• 10.1. India Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Generative Artificial Intelligence (AI) In Agriculture Market

• 11.1. Japan Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 11.2. Japan Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Generative Artificial Intelligence (AI) In Agriculture Market

• 12.1. Australia Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Generative Artificial Intelligence (AI) In Agriculture Market

• 13.1. Indonesia Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Generative Artificial Intelligence (AI) In Agriculture Market

• 14.1. South Korea Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 14.2. South Korea Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Generative Artificial Intelligence (AI) In Agriculture Market

• 15.1. Western Europe Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 15.2. Western Europe Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Generative Artificial Intelligence (AI) In Agriculture Market

• 16.1. UK Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Generative Artificial Intelligence (AI) In Agriculture Market

• 17.1. Germany Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Generative Artificial Intelligence (AI) In Agriculture Market

• 18.1. France Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Generative Artificial Intelligence (AI) In Agriculture Market

• 19.1. Italy Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Generative Artificial Intelligence (AI) In Agriculture Market

• 20.1. Spain Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Generative Artificial Intelligence (AI) In Agriculture Market

• 21.1. Eastern Europe Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 21.2. Eastern Europe Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Generative Artificial Intelligence (AI) In Agriculture Market

• 22.1. Russia Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Generative Artificial Intelligence (AI) In Agriculture Market

• 23.1. North America Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 23.2. North America Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Generative Artificial Intelligence (AI) In Agriculture Market

• 24.1. USA Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 24.2. USA Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Generative Artificial Intelligence (AI) In Agriculture Market

• 25.1. Canada Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 25.2. Canada Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Generative Artificial Intelligence (AI) In Agriculture Market

• 26.1. South America Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 26.2. South America Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Generative Artificial Intelligence (AI) In Agriculture Market

• 27.1. Brazil Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Generative Artificial Intelligence (AI) In Agriculture Market

• 28.1. Middle East Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 28.2. Middle East Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Generative Artificial Intelligence (AI) In Agriculture Market

• 29.1. Africa Generative Artificial Intelligence (AI) In Agriculture Market Overview
• 29.2. Africa Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Crop Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Generative Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Generative Artificial Intelligence (AI) In Agriculture Market Competitive Landscape And Company Profiles

• 30.1. Generative Artificial Intelligence (AI) In Agriculture Market Competitive Landscape
• 30.2. Generative Artificial Intelligence (AI) In Agriculture Market Company Profiles
  • 30.2.1. Bayer AG Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Benson Hill Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Raven Industries Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. AgroStar Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. FarmWise Labs Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Generative Artificial Intelligence (AI) In Agriculture Market Other Major And Innovative Companies

• 31.1. Sentera Inc.
• 31.2. Farmers Edge Inc.
• 31.3. Taranis
• 31.4. AeroFarms LLC
• 31.5. Ceres Imaging Inc.
• 31.6. CropX Inc.
• 31.7. FarmBot
• 31.8. Source AG
• 31.9. FarmLogs
• 31.10. Fasal
• 31.11. AgriWebb Pty Ltd.
• 31.12. Ecorobotix Ltd.
• 31.13. IUNU Inc.
• 31.14. Trace Genomics Inc.
• 31.15. KisanHub

32. Global Generative Artificial Intelligence (AI) In Agriculture Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Agriculture Market

34. Recent Developments In The Generative Artificial Intelligence (AI) In Agriculture Market

35. Generative Artificial Intelligence (AI) In Agriculture Market High Potential Countries, Segments and Strategies

• 35.1 Generative Artificial Intelligence (AI) In Agriculture Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Generative Artificial Intelligence (AI) In Agriculture Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Generative Artificial Intelligence (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