Generative AI In Agriculture Market Size, Share, and Trends 2026 to 2035

Generative AI In Agriculture Market (By Technology: Machine Learning, Computer Vision, Predictive Analytics; By Application: Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Others) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 04 Feb 2026  |  Report Code : 3122  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Generative AI in Agriculture Market 

5.1. COVID-19 Landscape: Generative AI in Agriculture Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Generative AI in Agriculture Market, By Technology

8.1. Generative AI in Agriculture Market, by Technology

8.1.1. Machine Learning

8.1.1.1. Market Revenue and Forecast

8.1.2. Computer Vision

8.1.2.1. Market Revenue and Forecast

8.1.3. Predictive Analytics

8.1.3.1. Market Revenue and Forecast

Chapter 9. Global Generative AI in Agriculture Market, By Application

9.1. Generative AI in Agriculture Market, by Application

9.1.1. Precision Farming

9.1.1.1. Market Revenue and Forecast

9.1.2. Agriculture Robots

9.1.2.1. Market Revenue and Forecast

9.1.3. Livestock Monitoring

9.1.3.1. Market Revenue and Forecast

9.1.4. Drone Analytics

9.1.4.1. Market Revenue and Forecast

9.1.5. Labor Management

9.1.5.1. Market Revenue and Forecast

9.1.6. Others

9.1.6.1. Market Revenue and Forecast

Chapter 10. Global Generative AI in Agriculture Market, Regional Estimates and Trend Forecast

10.1. North America

10.1.1. Market Revenue and Forecast, by Technology

10.1.2. Market Revenue and Forecast, by Application

10.1.3. U.S.

10.1.3.1. Market Revenue and Forecast, by Technology

10.1.3.2. Market Revenue and Forecast, by Application

10.1.4. Rest of North America

10.1.4.1. Market Revenue and Forecast, by Technology

10.1.4.2. Market Revenue and Forecast, by Application

10.2. Europe

10.2.1. Market Revenue and Forecast, by Technology

10.2.2. Market Revenue and Forecast, by Application

10.2.3. UK

10.2.3.1. Market Revenue and Forecast, by Technology

10.2.3.2. Market Revenue and Forecast, by Application

10.2.4. Germany

10.2.4.1. Market Revenue and Forecast, by Technology

10.2.4.2. Market Revenue and Forecast, by Application

10.2.5. France

10.2.5.1. Market Revenue and Forecast, by Technology

10.2.5.2. Market Revenue and Forecast, by Application

10.2.6. Rest of Europe

10.2.6.1. Market Revenue and Forecast, by Technology

10.2.6.2. Market Revenue and Forecast, by Application

10.3. APAC

10.3.1. Market Revenue and Forecast, by Technology

10.3.2. Market Revenue and Forecast, by Application

10.3.3. India

10.3.3.1. Market Revenue and Forecast, by Technology

10.3.3.2. Market Revenue and Forecast, by Application

10.3.4. China

10.3.4.1. Market Revenue and Forecast, by Technology

10.3.4.2. Market Revenue and Forecast, by Application

10.3.5. Japan

10.3.5.1. Market Revenue and Forecast, by Technology

10.3.5.2. Market Revenue and Forecast, by Application

10.3.6. Rest of APAC

10.3.6.1. Market Revenue and Forecast, by Technology

10.3.6.2. Market Revenue and Forecast, by Application

10.4. MEA

10.4.1. Market Revenue and Forecast, by Technology

10.4.2. Market Revenue and Forecast, by Application

10.4.3. GCC

10.4.3.1. Market Revenue and Forecast, by Technology

10.4.3.2. Market Revenue and Forecast, by Application

10.4.4. North Africa

10.4.4.1. Market Revenue and Forecast, by Technology

10.4.4.2. Market Revenue and Forecast, by Application

10.4.5. South Africa

10.4.5.1. Market Revenue and Forecast, by Technology

10.4.5.2. Market Revenue and Forecast, by Application

10.4.6. Rest of MEA

10.4.6.1. Market Revenue and Forecast, by Technology

10.4.6.2. Market Revenue and Forecast, by Application

10.5. Latin America

10.5.1. Market Revenue and Forecast, by Technology

10.5.2. Market Revenue and Forecast, by Application

10.5.3. Brazil

10.5.3.1. Market Revenue and Forecast, by Technology

10.5.3.2. Market Revenue and Forecast, by Application

10.5.4. Rest of LATAM

10.5.4.1. Market Revenue and Forecast, by Technology

10.5.4.2. Market Revenue and Forecast, by Application

Chapter 11. Company Profiles

11.1. Google LLC

11.1.1. Company Overview

11.1.2. Product Offerings

11.1.3. Financial Performance

11.1.4. Recent Initiatives

11.2. Microsoft Corporation

11.2.1. Company Overview

11.2.2. Product Offerings

11.2.3. Financial Performance

11.2.4. Recent Initiatives

11.3. AGCO Corporation

11.3.1. Company Overview

11.3.2. Product Offerings

11.3.3. Financial Performance

11.3.4. Recent Initiatives

11.4. Deere & Company

11.4.1. Company Overview

11.4.2. Product Offerings

11.4.3. Financial Performance

11.4.4. Recent Initiatives

11.5. A.A.A Taranis Visual L

11.5.1. Company Overview

11.5.2. Product Offerings

11.5.3. Financial Performance

11.5.4. Recent Initiatives

11.6. AgEagle Aerial Systems Inc.

11.6.1. Company Overview

11.6.2. Product Offerings

11.6.3. Financial Performance

11.6.4. Recent Initiatives

11.7. Bayer AG

11.7.1. Company Overview

11.7.2. Product Offerings

11.7.3. Financial Performance

11.7.4. Recent Initiatives

11.8. Raven Industries Inc.

11.8.1. Company Overview

11.8.2. Product Offerings

11.8.3. Financial Performance

11.8.4. Recent Initiatives

11.9. Ag Leader Technology

11.9.1. Company Overview

11.9.2. Product Offerings

11.9.3. Financial Performance

11.9.4. Recent Initiatives

11.10. Trimble Inc.

11.10.1. Company Overview

11.10.2. Product Offerings

11.10.3. Financial Performance

11.10.4. Recent Initiatives

Chapter 12. Research Methodology

12.1. Primary Research

12.2. Secondary Research

12.3. Assumptions

Chapter 13. Appendix

13.1. About Us

13.2. Glossary of Terms

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Frequently Asked Questions

Answer : The global generative AI in agriculture market size is expected to increase USD 2,361.99 million by 2035 from USD 269.78 million in 2025.

Answer : The global generative AI in agriculture market will register growth rate of 24.23% between 2026 to 2035.

Answer : The major players operating in the generative AI in agriculture market are Google LLC, Microsoft Corporation, AGCO Corporation, Deere & Company, A.A.A Taranis Visual Ltd., AgEagle Aerial Systems Inc., Bayer AG, Raven Industries Inc., Ag Leader Technology, Trimble Inc., IBM Corporation, Gamaya SA, Granular Inc., and Others.

Answer : The driving factors of the generative AI in agriculture market are the world's population is growing rapidly, increased demand for food production, increasing need for precision farming and resource optimization.

Answer : North America region will lead the global generative AI in agriculture market during the forecast period 2026 to 2035.

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