Product Code: GVR-4-68040-683-2
Generative AI In Agriculture Market Summary
The global generative AI in agriculture market size was estimated at USD 226.2 million in 2024 and is projected to reach USD 2,158.9 million by 2033, growing at a CAGR of 28.7% from 2025 to 2033. Farmers are increasingly using generative models to predict yields, weather impacts, and input requirements.
This trend supports precision agriculture by enabling scenario-based planning. The global generative AI in agriculture industry is witnessing a shift toward AI-driven crop simulation and decision-making tools. The development of specialized, accessible, and efficient AI models for agricultural advisory, yield prediction, and climate adaptation is driving growth in the generative AI in agriculture market. This indicates growing demand for localized, multilingual, and climate-resilient advisory tools, especially for smallholder farmers in emerging regions, and signals a shift from general-purpose AI to frugal, scalable solutions suited for underserved agricultural ecosystems. Companies are increasingly developing lightweight, specialized models to address these needs at scale. For instance, in April 2024, Cropin Technology Solutions Private Limited, a software company in India, launched akṣara, an open-source micro language model built on Mistral, designed for climate-smart agriculture in the Global South. It supports nine key crops across five countries, offering localized, low-resource generative AI advisory to smallholder farmers and agricultural stakeholders. This initiative highlights the growing focus on making generative AI more inclusive, sustainable, and aligned with regional agrarian priorities.
The increasing integration of AI with existing digital agriculture platforms is propelling market growth as it enables timely and data-driven decisions throughout the farming cycle. These platforms use generative AI alongside satellite imagery, IoT data, and management systems to deliver context-specific recommendations. This improves resource efficiency, better crop outcomes, and reduced operational risks. Farmers can respond more effectively to dynamic factors such as weather changes or pest threats. The rising demand for intelligent, connected farming solutions is accelerating the adoption of generative AI in agriculture. For instance, in March 2024, Bayer AG, a German life science company, collaborated with Microsoft and Ernst & Young to launch a pilot generative AI system trained on proprietary agronomic data and expert insights. The tool provides fast, accurate recommendations and expands access to agronomic intelligence, especially for smallholder farmers, through customized, validated responses.
Advancements in machine learning, computer vision, and compute/cloud infrastructure are transforming agricultural practices. Machine learning algorithms enable accurate predictions for crop yields, disease outbreaks, and soil health. Computer vision systems process drone and satellite imagery to monitor crop conditions in real time. These tools help detect issues such as pest infestations or nutrient deficiencies with high precision. Meanwhile, improvements in cloud infrastructure provide scalable data storage and processing capabilities. Farmers can now access analytics platforms from remote locations, enabling informed decision-making. Integration with IoT devices further enhances real-time monitoring and automation. These technologies reduce manual intervention and improve operational efficiency. Cloud-based solutions also support collaboration between stakeholders across the value chain. Together, these advancements are driving a data-driven shift toward smarter, more sustainable agriculture.
Global Generative AI In Agriculture Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global generative AI in agriculture market report in terms of technology, application, and region.
- Technology Outlook (Revenue, USD Million, 2021 - 2033)
- Machine Learning
- Natural Language Processing
- Computer Vision
- Generative Adversarial Networks (GANs)
- Application Outlook (Revenue, USD Million, 2021 - 2033)
- Precision Farming
- Livestock Management
- Agricultural Robotics & Automation
- Weather Forecasting
- Others
- Regional Outlook (Revenue, USD Million, 2021 - 2033)
- North America
- Europe
- Asia Pacific
- China
- Japan
- India
- Australia
- South Korea
- Latin America
- Middle East & Africa (MEA)
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.2. Market Definition
- 1.3. Information Procurement
- 1.3.1. Purchased Database
- 1.3.2. GVR's Internal Database
- 1.3.3. Secondary Sources & Third-Party Perspectives
- 1.3.4. Primary Research
- 1.4. Information Analysis
- 1.4.1. Data Analysis Models
- 1.5. Market Formulation & Data Visualization
- 1.6. Data Validation & Publishing
Chapter 2. Executive Summary
- 2.1. Market Insights
- 2.2. Segmental Outlook
- 2.3. Competitive Outlook
Chapter 3. Generative AI in Agriculture Market Variables, Trends & Scope
- 3.1. Global Generative AI in Agriculture Market Outlook
- 3.2. Industry Value Chain Analysis
- 3.3. Market Dynamics
- 3.3.1. Market Driver Analysis
- 3.3.2. Market Restraint Analysis
- 3.3.3. Industry Challenges
- 3.4. Porter's Five Forces Analysis
- 3.4.1. Supplier Power
- 3.4.2. Buyer Power
- 3.4.3. Substitution Threat
- 3.4.4. Threat from New Entrant
- 3.4.5. Competitive Rivalry
- 3.5. PESTEL Analysis
- 3.5.1. Political Landscape
- 3.5.2. Economic Landscape
- 3.5.3. Social Landscape
- 3.5.4. Technological Landscape
- 3.5.5. Environmental Landscape
- 3.5.6. Legal Landscape
Chapter 4. Generative AI in Agriculture Market: Technology Estimates & Forecasts
- 4.1. Generative AI in Agriculture Market: Technology Movement Analysis, 2024 & 2033
- 4.1.1. Machine Learning
- 4.1.1.1. Machine Learning Market estimates and forecast, 2021 - 2033 (USD Million)
- 4.1.2. Natural Language Processing
- 4.1.2.1. Natural Language Processing Market estimates and forecast, 2021 - 2033 (USD Million)
- 4.1.3. Computer Vision
- 4.1.3.1. Computer Vision Market estimates and forecast, 2021 - 2033 (USD Million)
- 4.1.4. Generative Adversarial Networks (GANs)
- 4.1.4.1. Generative Adversarial Networks (GANs) Market estimates and forecast, 2021 - 2033 (USD Million)
Chapter 5. Generative AI in Agriculture Market: Application Estimates & Forecasts
- 5.1. Generative AI in Agriculture Market: Application Movement Analysis, 2024 & 2033
- 5.1.1. Precision Farming
- 5.1.1.1. Precision Farming Market estimates and forecast, 2021 - 2033 (USD Million)
- 5.1.2. Livestock Management
- 5.1.2.1. Livestock Management Market estimates and forecast, 2021 - 2033 (USD Million)
- 5.1.3. Agricultural Robotics & Automation
- 5.1.3.1. Agricultural Robotics & Automation Market estimates and forecast, 2021 - 2033 (USD Million)
- 5.1.4. Weather Forecasting
- 5.1.4.1. Weather Forecasting Market estimates and forecast, 2021 - 2033 (USD Million)
- 5.1.5. Others
- 5.1.5.1. Others Market estimates and forecast, 2021 - 2033 (USD Million)
Chapter 6. Generative AI in Agriculture Market: Regional Estimates & Trend Analysis
- 6.1. Generative AI in Agriculture Market Share, By Region, 2024 & 2033, USD Million
- 6.2. North America
- 6.2.1. North America Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.2.1.1. North America Generative AI in Agriculture Market Estimates and Forecasts, by Country, 2021 - 2033 (USD Million)
- 6.2.1.2. North America Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.2.1.3. North America Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.2.2. U.S.
- 6.2.2.1. U.S. Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.2.2.2. U.S. Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.2.2.3. U.S. Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.2.2.4. U.S. Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.2.3. Canada
- 6.2.3.1. Canada Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.2.3.2. Canada Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.2.3.3. Canada Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.2.4. Mexico
- 6.2.4.1. Mexico Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.2.4.2. Mexico Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.2.4.3. Mexico Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.3. Europe
- 6.3.1. Europe Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.3.1.1. Europe Generative AI in Agriculture Market Estimates and Forecasts, by Country, 2021 - 2033 (USD Million)
- 6.3.1.2. Europe Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.3.1.3. Europe Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.3.2. UK
- 6.3.2.1. UK Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.3.2.2. UK Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.3.2.3. UK Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.3.3. Germany
- 6.3.3.1. Germany Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.3.3.2. Germany Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.3.3.3. Germany Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.3.4. France
- 6.3.4.1. France Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.3.4.2. France Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.3.4.3. France Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.4. Asia Pacific
- 6.4.1. Asia Pacific Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.4.1.1. Asia Pacific Generative AI in Agriculture Market Estimates and Forecasts, by Country, 2021 - 2033 (USD Million)
- 6.4.1.2. Asia Pacific Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.4.1.3. Asia Pacific Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.4.2. China
- 6.4.2.1. China Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.4.2.2. China Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.4.2.3. China Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.4.3. Japan
- 6.4.3.1. Japan Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.4.3.2. Japan Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.4.3.3. Japan Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.4.4. India
- 6.4.4.1. India Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.4.4.2. India Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.4.4.3. India Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.4.5. Australia
- 6.4.5.1. Australia Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.4.5.2. Australia Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.4.5.3. Australia Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.4.6. South Korea
- 6.4.6.1. South Korea Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.4.6.2. South Korea Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.4.6.3. South Korea Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.5. Latin America
- 6.5.1. Latin America Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.5.1.1. Latin America Generative AI in Agriculture Market Estimates and Forecasts, by Country, 2021 - 2033 (USD Million)
- 6.5.1.2. Latin America Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.5.1.3. Latin America Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.5.2. Brazil
- 6.5.2.1. Brazil Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.5.2.2. Brazil Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.5.2.3. Brazil Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.6. Middle East and Africa
- 6.6.1. Middle East and Africa Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.6.1.1. Middle East and Africa Generative AI in Agriculture Market Estimates and Forecasts, by Country, 2021 - 2033 (USD Million)
- 6.6.1.2. Middle East and Africa Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.6.1.3. Middle East and Africa Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.6.2. KSA
- 6.6.2.1. KSA Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.6.2.2. KSA Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.6.2.3. KSA Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.6.3. UAE
- 6.6.3.1. UAE Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.6.3.2. UAE Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.6.3.3. UAE Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
- 6.6.4. South Africa
- 6.6.4.1. South Africa Generative AI in Agriculture Market Estimates and Forecasts, 2021 - 2033 (USD Million)
- 6.6.4.2. South Africa Generative AI in Agriculture Market Estimates and Forecasts, by Technology, 2021 - 2033 (USD Million)
- 6.6.4.3. South Africa Generative AI in Agriculture Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
Chapter 7. Competitive Landscape
- 7.1. Recent Developments & Impact Analysis, By Key Market Participants
- 7.2. Vendor Landscape
- 7.2.1. Company categorization
- 7.2.2. List of Key Distributors and channel Partners
- 7.2.3. List of Potential Customers/Listing
- 7.3. Competitive Dynamics
- 7.3.1. Competitive Benchmarking
- 7.3.2. Strategy Mapping
- 7.3.3. Heat Map Analysis
- 7.4. Company Profiles/Listing
- 7.4.1. Agmatix
- 7.4.1.1. Participant's overview
- 7.4.1.2. Financial performance
- 7.4.1.3. Product benchmarking
- 7.4.1.4. Strategic initiatives
- 7.4.2. AgroScout
- 7.4.2.1. Participant's overview
- 7.4.2.2. Financial performance
- 7.4.2.3. Product benchmarking
- 7.4.2.4. Strategic initiatives
- 7.4.3. Bayer AG
- 7.4.3.1. Participant's overview
- 7.4.3.2. Financial performance
- 7.4.3.3. Product benchmarking
- 7.4.3.4. Strategic initiatives
- 7.4.4. Carbon Robotics
- 7.4.4.1. Participant's overview
- 7.4.4.2. Financial performance
- 7.4.4.3. Product benchmarking
- 7.4.4.4. Strategic initiatives
- 7.4.5. Deere & Company (John Deere)
- 7.4.5.1. Participant's overview
- 7.4.5.2. Financial performance
- 7.4.5.3. Product benchmarking
- 7.4.5.4. Strategic initiatives
- 7.4.6. DeepAgro
- 7.4.6.1. Participant's overview
- 7.4.6.2. Financial performance
- 7.4.6.3. Product benchmarking
- 7.4.6.4. Strategic initiatives
- 7.4.7. IBM Corporation
- 7.4.7.1. Participant's overview
- 7.4.7.2. Financial performance
- 7.4.7.3. Product benchmarking
- 7.4.7.4. Strategic initiatives
- 7.4.8. KissanAI
- 7.4.8.1. Participant's overview
- 7.4.8.2. Financial performance
- 7.4.8.3. Product benchmarking
- 7.4.8.4. Strategic initiatives
- 7.4.9. Microsoft
- 7.4.9.1. Participant's overview
- 7.4.9.2. Financial performance
- 7.4.9.3. Product benchmarking
- 7.4.9.4. Strategic initiatives
- 7.4.10. Syngenta Group
- 7.4.10.1. Participant's overview
- 7.4.10.2. Financial performance
- 7.4.10.3. Product benchmarking
- 7.4.10.4. Strategic initiatives