2025年农业生成式AI（AI）全球市场报告

预计未来几年农业领域生成式AI(AI) 的市场规模将呈指数级增长。到 2029 年，这一数字将成长至 7.3 亿美元，复合年增长率为 27.3%。预测期内的成长可归因于对个人化金融服务的需求、人工智慧与现有银行系统的整合以简化业务、风险管理中的预测分析需求、注重提高客户信任度和透明度、解决资料隐私问题的紧迫性、支援人工智慧倡议的劳动力技能的快速发展，以及利用先进人工智慧技术保持市场优势的竞争压力。预测期内的关键趋势包括将生成式人工智慧融入风险管理和诈骗侦测系统、扩展人工智慧在演算法交易和投资策略中的能力、透过自动报告增强监管合规性、人工智慧驱动的客户服务虚拟助理的兴起、开发用于市场预测的高级预测分析，以及更加关注道德人工智慧实践，以确保人工智慧应用的透明度和公平性。

预计作物产量的提高将推动农业生成人工智慧市场的发展。作物产量是指单位面积土地所获得的农产品数量。作物产量的提高归功于多种因素，包括农业实践的进步、种子品种的改良、技术创新、更好的病虫害管理、高效的灌溉、加强的土壤管理、气候适应以及持续的研究和发展。农业中的生成式人工智慧对于优化作物产量至关重要，因为它有助于准确预测和改善生长条件、资源分配和管理方法，从而提高生产力并减少浪费。例如，英国环境、食品和农村事务部在 2024 年 2 月报告称，2022 年英国谷物总产量（包括小麦、大麦、燕麦和小米）达到近 2,430 万吨。这比 2021 年增长了 8%，由于价格上涨和产量增加，产值增长了 54%，达到约 79 亿美元（62 亿英镑）。因此，作物产量的提高正在推动农业市场生成人工智慧的扩张。

农业生成人工智慧市场的主要企业正在开发生成人工智慧系统等先进技术，以改善农业实践。生成式人工智慧系统能够建立复製原始资料特征的新资料样本，并常用于影像生成、文字建立和资料增强等任务。例如，2024 年 4 月，印度农业技术公司 Cropin Technology 宣布推出 Aksara。这种尖端的生成式人工智慧系统专为气候智慧型农业而设计，为印度半岛六个国家的九种主要作物——水稻、小麦、玉米、高粱、大麦、棉花、甘蔗、大豆和小米——提供量身定制的作物作物。 Aksara 根据特定的农业气候条件提供有关作物投入和气候智能实践的可行见解，帮助全球南方服务不足的农业社区克服面临的挑战，并为农业领域的相关人员提供可扩展的人工智慧主导解决方案。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景，包括利率、感染疾病、地缘政治、新冠疫情、经济復苏对市场的影响

第五章 全球成长分析与策略分析框架

• 全球农业中的生成式AI（AI）PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
• 最终用途产业分析
• 全球农业生成式AI（AI）市场：成长率分析
• 全球农业生成式AI(AI) 市场表现：规模与成长，2019-2024 年
• 全球农业生成式AI(AI) 市场预测：规模与成长，2024-2029 年，2034 年
• 全球农业生成式AI（AI）总潜在市场（TAM）

第六章市场区隔

• 全球农业生成式AI(AI) 市场（按作物类型、性能和预测），2019-2024 年、2024-2029 年、2034 年
• 小麦
• 米
• 玉米
• 蔬菜
• 其他作物类型
• 全球农业生成式AI(AI) 市场（按技术、性能和预测），2019-2024 年、2024-2029 年、2034 年
• 深度学习
• 电脑视觉
• 机器学习
• 自然语言处理
• 机器人技术
• 全球农业生成式AI(AI) 市场的应用、表现及预测（2019-2024 年、2024-2029 年及 2034 年）
• 精密农业
• 牲畜管理
• 作物管理
• 土壤分析
• 其他用途
• 全球农业生成式AI(AI) 市场（按最终用户产业、绩效及预测），2019-2024 年、2024-2029 年及 2034 年
• 农民
• 农业科技公司
• 农业顾问
• 政府
• 研究组织
• 全球农业领域生成式AI(AI) 市场：小麦类型细分、绩效及预测（2019-2024 年、2024-2029 年及 2034 年）
• 硬红冬小麦
• 软红冬小麦
• 硬红春小麦
• 硬质小麦
• 全球农业生成式AI(AI) 市场－按类型、性能和预测细分，2019-2024 年、2024-2029 年、2034 年
• 巴斯马蒂米
• 茉莉香米
• 长粒米
• 短粒米
• 全球农业生成式AI(AI) 市场玉米类型细分、表现及预测（2019-2024 年、2024-2029 年及 2034 年）
• 甜玉米
• 场锥
• 硬粒玉米
• 爆米花
• 全球农业生成式AI(AI) 市场：依蔬菜种类、表现及预测，2019-2024 年、2024-2029 年及 2034 年
• 绿叶
• 根茎类
• 十字花科蔬菜
• 茄科蔬菜
• 全球农业生成式AI(AI) 市场，依其他作物类型细分，绩效及预测，2019-2024 年、2024-2029 年、2034 年
• 水果
• 脉衝
• 油籽
• 纤维作物

第七章 区域和国家分析

• 全球农业生成式AI(AI) 市场：按地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
• 全球农业生成式AI(AI) 市场：依国家、地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

• 农业中的生成式AI（AI）：竞争格局
• 农业市场中的生成式AI（AI）：公司简介
  • 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 其他大型创新企业

• 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 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

• 2029年农业市场中的生成式AI（AI）：提供新机会的国家
• 2029年农业市场中的生成式AI（AI）：细分领域带来新机会
• 2029年农业市场中的生成式AI（AI）：成长策略
  • 基于市场趋势的策略
  • 竞争对手的策略

第36章 附录

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