Artificial Intelligence In Agriculture Market Size, Report By 2035

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 Artificial Intelligence in Agriculture Market

5.1. COVID-19 Landscape: Artificial Intelligence 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

Chapter 6. Market Dynamics Analysis and Trends

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 Artificial Intelligence in Agriculture Market, By Component

8.1. Artificial Intelligence in Agriculture Market, by Component, 2024-2034

8.1.1 Hardware

8.1.1.1. Market Revenue and Forecast (2021-2034)

8.1.2. Software

8.1.2.1. Market Revenue and Forecast (2021-2034)

8.1.3. Services

8.1.3.1. Market Revenue and Forecast (2021-2034)

Chapter 9. Global Artificial Intelligence in Agriculture Market, By Technology

9.1. Artificial Intelligence in Agriculture Market, by Technology, 2024-2034

9.1.1. Machine Learning & Deep Learning

9.1.1.1. Market Revenue and Forecast (2021-2034)

9.1.2. Predictive Analytics

9.1.2.1. Market Revenue and Forecast (2021-2034)

9.1.3. Computer Vision

9.1.3.1. Market Revenue and Forecast (2021-2034)

Chapter 10. Global Artificial Intelligence in Agriculture Market, By Application

10.1. Artificial Intelligence in Agriculture Market, by Application, 2024-2034

10.1.1. Precision Farming

10.1.1.1. Market Revenue and Forecast (2021-2034)

10.1.2. Drone Analytics

10.1.2.1. Market Revenue and Forecast (2021-2034)

10.1.3. Agriculture Robots

10.1.3.1. Market Revenue and Forecast (2021-2034)

10.1.4. Livestock Monitoring

10.1.4.1. Market Revenue and Forecast (2021-2034)

10.1.5. Others

10.1.5.1. Market Revenue and Forecast (2021-2034)

Chapter 11. Global Artificial Intelligence in Agriculture Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Component (2021-2034)

11.1.2. Market Revenue and Forecast, by Technology (2021-2034)

11.1.3. Market Revenue and Forecast, by Application (2021-2034)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Component (2021-2034)

11.1.4.2. Market Revenue and Forecast, by Technology (2021-2034)

11.1.4.3. Market Revenue and Forecast, by Application (2021-2034)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Component (2021-2034)

11.1.5.2. Market Revenue and Forecast, by Technology (2021-2034)

11.1.5.3. Market Revenue and Forecast, by Application (2021-2034)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Component (2021-2034)

11.2.2. Market Revenue and Forecast, by Technology (2021-2034)

11.2.3. Market Revenue and Forecast, by Application (2021-2034)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Component (2021-2034)

11.2.4.2. Market Revenue and Forecast, by Technology (2021-2034)

11.2.4.3. Market Revenue and Forecast, by Application (2021-2034)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Component (2021-2034)

11.2.5.2. Market Revenue and Forecast, by Technology (2021-2034)

11.2.5.3. Market Revenue and Forecast, by Application (2021-2034)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Component (2021-2034)

11.2.6.2. Market Revenue and Forecast, by Technology (2021-2034)

11.2.6.3. Market Revenue and Forecast, by Application (2021-2034)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Component (2021-2034)

11.2.7.2. Market Revenue and Forecast, by Technology (2021-2034)

11.2.7.3. Market Revenue and Forecast, by Application (2021-2034)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Component (2021-2034)

11.3.2. Market Revenue and Forecast, by Technology (2021-2034)

11.3.3. Market Revenue and Forecast, by Application (2021-2034)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Component (2021-2034)

11.3.4.2. Market Revenue and Forecast, by Technology (2021-2034)

11.3.4.3. Market Revenue and Forecast, by Application (2021-2034)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Component (2021-2034)

11.3.5.2. Market Revenue and Forecast, by Technology (2021-2034)

11.3.5.3. Market Revenue and Forecast, by Application (2021-2034)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Component (2021-2034)

11.3.6.2. Market Revenue and Forecast, by Technology (2021-2034)

11.3.6.3. Market Revenue and Forecast, by Application (2021-2034)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Component (2021-2034)

11.3.7.2. Market Revenue and Forecast, by Technology (2021-2034)

11.3.7.3. Market Revenue and Forecast, by Application (2021-2034)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Component (2021-2034)

11.4.2. Market Revenue and Forecast, by Technology (2021-2034)

11.4.3. Market Revenue and Forecast, by Application (2021-2034)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Component (2021-2034)

11.4.4.2. Market Revenue and Forecast, by Technology (2021-2034)

11.4.4.3. Market Revenue and Forecast, by Application (2021-2034)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Component (2021-2034)

11.4.5.2. Market Revenue and Forecast, by Technology (2021-2034)

11.4.5.3. Market Revenue and Forecast, by Application (2021-2034)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Component (2021-2034)

11.4.6.2. Market Revenue and Forecast, by Technology (2021-2034)

11.4.6.3. Market Revenue and Forecast, by Application (2021-2034)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Component (2021-2034)

11.4.7.2. Market Revenue and Forecast, by Technology (2021-2034)

11.4.7.3. Market Revenue and Forecast, by Application (2021-2034)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Component (2021-2034)

11.5.2. Market Revenue and Forecast, by Technology (2021-2034)

11.5.3. Market Revenue and Forecast, by Application (2021-2034)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Component (2021-2034)

11.5.4.2. Market Revenue and Forecast, by Technology (2021-2034)

11.5.4.3. Market Revenue and Forecast, by Application (2021-2034)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Component (2021-2034)

11.5.5.2. Market Revenue and Forecast, by Technology (2021-2034)

11.5.5.3. Market Revenue and Forecast, by Application (2021-2034)

Chapter 12. Company Profiles

12.1. Microsoft

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. IBM Corporation

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Granular, Inc.

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. AgEagle Aerial Systems Inc.

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. The Climate Corporation

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Deere & Company

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Descartes Labs, Inc.

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Prospera Technologies

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. GAMAYA

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. aWhere Inc.

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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Frequently Asked Questions

Answer : The global artificial intelligence in agriculture market size is expected to increase USD 20.12 billion by 2035 from USD 2.57 billion in 2025.

Answer : The global artificial intelligence in agriculture market will register growth rate of 22.85% between 2026 and 2035.

Answer : The major players operating in the artificial intelligence in agriculture market are Microsoft, IBM Corporation, Granular, Inc., AgEagle Aerial Systems Inc., The Climate Corporation, Deere & Company, Descartes Labs, Inc., Prospera Technologies, GAMAYA, aWhere Inc., Taranis, ec2ce, VineView, PrecisionHawk, Tule Technologies Inc., and Others.

Answer : The driving factors of the artificial intelligence in agriculture market are the increasing population and food demand and increasing adoption of drones.

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