2025年農業生成式AI（AI）全球市場報告

預計未來幾年農業領域生成式AI(AI) 的市場規模將呈指數級成長。到 2029 年，這一數字將成長至 7.3 億美元，複合年成長率為 27.3%。預測期內的成長可歸因於對個人化金融服務的需求、人工智慧與現有銀行系統的整合以簡化業務、風險管理中的預測分析需求、注重提高客戶信任度和透明度、解決資料隱私問題的緊迫性、支援人工智慧舉措的勞動力技能的快速發展，以及利用先進人工智慧技術保持市場優勢的競爭壓力。預測期內的關鍵趨勢包括將生成式人工智慧融入風險管理和詐騙偵測系統、擴展人工智慧在演算法交易和投資策略中的能力、透過自動報告增強監管合規性、人工智慧驅動的客戶服務虛擬助理的興起、開發用於市場預測的高級預測分析，以及更加關注道德人工智慧實踐，以確保人工智慧應用的透明度和公平性。

預計作物產量的提高將推動農業生成人工智慧市場的發展。作物產量是指單位面積土地所獲得的農產品數量。作物產量的提高歸功於多種因素，包括農業實踐的進步、種子品種的改良、技術創新、更好的病蟲害管理、高效的灌溉、加強的土壤管理、氣候適應以及持續的研究和發展。農業中的生成式人工智慧對於最佳化作物產量至關重要，因為它有助於準確預測和改善生長條件、資源分配和管理方法，從而提高生產力並減少浪費。例如，英國環境、食品和農村事務部在 2024 年 2 月報告稱，2022 年英國穀物總產量（包括小麥、大麥、燕麥和小米）達到近 2,430 萬噸。這比 2021 年成長了 8%，由於價格上漲和產量增加，產值成長了 54%，達到約 79 億美元（62 億英鎊）。因此，作物產量的提高正在推動農業市場生成人工智慧的擴張。

農業生成人工智慧市場的主要企業正在開發生成人工智慧系統等先進技術，以改善農業實踐。生成式人工智慧系統能夠建立複製原始資料特徵的新資料樣本，並常用於影像生成、文字建立和資料增強等任務。例如，2024 年 4 月，印度農業技術公司 Cropin Technology 宣布推出 Aksara。這種尖端的生成式人工智慧系統專為氣候智慧型農業而設計，為印度半島六個國家的九種主要作物——水稻、小麥、玉米、高粱、大麥、棉花、甘蔗、大豆和小米——提供量身定做的作物作物。 Aksara 根據特定的農業氣候條件提供有關作物投入和氣候智慧實踐的可行見解，幫助全球南方服務不足的農業社區克服面臨的挑戰，並為農業領域的相關人員提供可擴展的人工智慧主導解決方案。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情景，包括利率、感染疾病、地緣政治、新冠疫情、經濟復甦對市場的影響

第5章 全球成長分析與策略分析框架

• 全球農業中的生成式AI（AI）PESTEL分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
• 最終用途產業分析
• 全球農業生成式AI（AI）市場：成長率分析
• 全球農業生成式AI(AI) 市場表現：規模與成長，2019-2024 年
• 全球農業生成式AI(AI) 市場預測：規模與成長，2024-2029 年，2034 年
• 全球農業生成式AI（AI）總潛在市場（TAM）

第6章市場區隔

• 全球農業生成式AI(AI) 市場（按作物類型、性能和預測），2019-2024 年、2024-2029 年、2034 年
• 小麥
• 米
• 玉米
• 蔬菜
• 其他作物類型
• 全球農業生成式AI(AI) 市場（按技術、性能和預測），2019-2024 年、2024-2029 年、2034 年
• 深度學習
• 電腦視覺
• 機器學習
• 自然語言處理
• 機器人技術
• 全球農業生成式AI(AI) 市場的應用、表現及預測（2019-2024 年、2024-2029 年及 2034 年）
• 精密農業
• 牲畜管理
• 作物管理
• 土壤分析
• 其他用途
• 全球農業生成式AI(AI) 市場（按最終用戶產業、績效及預測），2019-2024 年、2024-2029 年及 2034 年
• 農民
• 農業科技公司
• 農業顧問
• 政府
• 研究組織
• 全球農業領域生成式AI(AI) 市場：小麥類型細分、績效及預測（2019-2024 年、2024-2029 年及 2034 年）
• 硬紅冬小麥
• 軟紅冬小麥
• 硬紅春小麥
• 硬質小麥
• 全球農業生成式AI(AI) 市場－按類型、性能和預測細分，2019-2024 年、2024-2029 年、2034 年
• 巴斯馬蒂米
• 茉莉香米
• 長粒米
• 短粒米
• 全球農業生成式AI(AI) 市場玉米類型細分、表現及預測（2019-2024 年、2024-2029 年及 2034 年）
• 甜玉米
• 場錐
• 硬粒玉米
• 爆米花
• 全球農業生成式AI(AI) 市場：依蔬菜種類、表現及預測，2019-2024 年、2024-2029 年及 2034 年
• 綠葉
• 根莖類
• 十字花科蔬菜
• 茄科蔬菜
• 全球農業生成式AI(AI) 市場，依其他作物類型細分，績效及預測，2019-2024 年、2024-2029 年、2034 年
• 水果
• 脈衝
• 油籽
• 纖維作物

第7章 區域和國家分析

• 全球農業生成式AI(AI) 市場：按地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
• 全球農業生成式AI(AI) 市場：依國家、地區、績效及預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章競爭格局與公司概況

• 農業中的生成式AI（AI）：競爭格局
• 農業市場中的生成式AI（AI）：公司簡介
  • 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 其他大型創新企業

• 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

• 2029年農業市場中的生成式AI（AI）：提供新機會的國家
• 2029年農業市場中的生成式AI（AI）：細分領域帶來新機會
• 2029年農業市場中的生成式AI（AI）：成長策略
  • 基於市場趨勢的策略
  • 競爭對手的策略

第36章 附錄

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