Chapter 1. Preface

1.1 Report Description and Scope
1.2 Research Scope
1.3 Research Methodology
1.3.1 Market Research Type
1.3.2 Market Research Methodology

Chapter 2. Executive Summary

2.1 Global AI in Agriculture Market, (2026 - 2035) (USD Billion)
2.2 Global AI in Agriculture Market: Snapshot

Chapter 3. Global AI in Agriculture Market - Industry Analysis

3.1 AI in Agriculture Market: Market Dynamics
3.2 Market Drivers
3.2.1 Expanding rapidly in 2026, driven by the critical need to feed a growing global population through precision techniques that optimize yields and conserve vital resources like water and energy.
3.3 Market Restraints
3.3.1 Faces critical restraints in 2026 due to high upfront costs that exclude smallholder farmers, combined with data privacy risks and a lack of system interoperability that undermines user trust and seamless integration.
3.4 Market Opportunities
3.4.1 Flourishing through the synergistic integration of blockchain and IoT, which together create immutable, traceable supply chains that provide retailers and consumers with unprecedented transparency while significantly reducing food waste through predictive logistics and automated quality grading
3.5 Market Challenges
3.5.1 Primary challenges in the 2026 AI in agriculture market include overcoming data quality issues caused by "data noise" in variable field conditions, which can result in inaccurate predictive modeling and biased decision-making.
3.6 Porter’s Five Forces Analysis
3.7 Market Attractiveness Analysis
3.7.1 Market Attractiveness Analysis By Type
3.7.2 Market Attractiveness Analysis By Application
3.7.3 Market Attractiveness Analysis By End-Use

Chapter 4. Global AI in Agriculture Market- Competitive Landscape

4.1 Company Market Share Analysis
4.1.1 Global AI in Agriculture Market: Company Market Share, 2025
4.2 Strategic Development
4.2.1 Acquisitions & mergers
4.2.2 New Product launches
4.2.3 Agreements, partnerships, collaborations, and joint ventures
4.2.4 Research and development and regional expansion
4.3 Price Trend Analysis

Chapter 5. Global AI in Agriculture Market - Type Analysis

5.1 Global AI in Agriculture Market Overview: Type
5.1.1 Global AI in Agriculture Market share, By Type, 2025 and 2035
5.2 Machine Learning
5.2.1 Global AI in Agriculture Market by Machine Learning, 2026 - 2035 (USD Billion)
5.3 Computer Vision
5.3.1 Global AI in Agriculture Market by Computer Vision, 2026 - 2035 (USD Billion)
5.4 Predictive Analytics
5.4.1 Global AI in Agriculture Market by Predictive Analytics, 2026 - 2035 (USD Billion)
5.5 Robotics
5.5.1 Global AI in Agriculture Market by Robotics, 2026 - 2035 (USD Billion)
5.6 IoT Integration
5.6.1 Global AI in Agriculture Market by IoT Integration, 2026 - 2035 (USD Billion)
5.7 Natural Language Processing
5.7.1 Global AI in Agriculture Market by Natural Language Processing, 2026 - 2035 (USD Billion)
5.8 Deep Learning
5.8.1 Global AI in Agriculture Market by Deep Learning, 2026 - 2035 (USD Billion)
5.9 Image Recognition
5.9.1 Global AI in Agriculture Market by Image Recognition, 2026 - 2035 (USD Billion)
5.10 Speech Recognition
5.10.1 Global AI in Agriculture Market by Speech Recognition, 2026 - 2035 (USD Billion)
5.11 Sensor Data Analysis
5.11.1 Global AI in Agriculture Market by Sensor Data Analysis, 2026 - 2035 (USD Billion)

Chapter 6. Global AI in Agriculture Market - Application Analysis

6.1 Global AI in Agriculture Market Overview: Application
6.1.1 Global AI in Agriculture Market Share, By Application, 2025 and 2035
6.2 Precision Farming
6.2.1 Global AI in Agriculture Market by Precision Farming, 2026 - 2035 (USD Billion)
6.3 Crop Monitoring
6.3.1 Global AI in Agriculture Market by Crop Monitoring, 2026 - 2035 (USD Billion)
6.4 Livestock Monitoring
6.4.1 Global AI in Agriculture Market by Livestock Monitoring, 2026 - 2035 (USD Billion)
6.5 Drone Analytics
6.5.1 Global AI in Agriculture Market by Drone Analytics, 2026 - 2035 (USD Billion)
6.6 Agricultural Robots
6.6.1 Global AI in Agriculture Market by Agricultural Robots, 2026 - 2035 (USD Billion)
6.7 Soil Management
6.7.1 Global AI in Agriculture Market by Soil Management, 2026 - 2035 (USD Billion)
6.8 Irrigation Management
6.8.1 Global AI in Agriculture Market by Irrigation Management, 2026 - 2035 (USD Billion)
6.9 Weather Forecasting
6.9.1 Global AI in Agriculture Market by Weather Forecasting, 2026 - 2035 (USD Billion)
6.10 Yield Prediction
6.10.1 Global AI in Agriculture Market by Yield Prediction, 2026 - 2035 (USD Billion)
6.11 Pest Detection
6.11.1 Global AI in Agriculture Market by Pest Detection, 2026 - 2035 (USD Billion)

Chapter 7. Global AI in Agriculture Market - End-Use Analysis

7.1 Global AI in Agriculture Market Overview: End-Use
7.1.1 Global AI in Agriculture Market Share, By End-Use, 2025 and 2035
7.2 Farmers
7.2.1 Global AI in Agriculture Market by Farmers, 2026 - 2035 (USD Billion)
7.3 Agricultural Enterprises
7.3.1 Global AI in Agriculture Market by Agricultural Enterprises, 2026 - 2035 (USD Billion)
7.4 Government Agencies
7.4.1 Global AI in Agriculture Market by Government Agencies, 2026 - 2035 (USD Billion)
7.5 Research Institutions
7.5.1 Global AI in Agriculture Market by Research Institutions, 2026 - 2035 (USD Billion)
7.6 Agribusiness Companies
7.6.1 Global AI in Agriculture Market by Agribusiness Companies, 2026 - 2035 (USD Billion)
7.7 Cooperatives
7.7.1 Global AI in Agriculture Market by Cooperatives, 2026 - 2035 (USD Billion)
7.8 Others
7.8.1 Global AI in Agriculture Market by Others, 2026 - 2035 (USD Billion)
7.9 Others
7.9.1 Global AI in Agriculture Market by Others, 2026 - 2035 (USD Billion)

Chapter 8. AI in Agriculture Market - Regional Analysis

8.1 Global AI in Agriculture Market Regional Overview
8.2 Global AI in Agriculture Market Share, by Region, 2025 & 2035 (USD Billion)
8.3 North America
8.3.1 North America AI in Agriculture Market, 2026 - 2035 (USD Billion)
8.3.1.1 North America AI in Agriculture Market, by Country, 2026 - 2035 (USD Billion)
8.3.2 North America AI in Agriculture Market, by Type, 2026 - 2035
8.3.2.1 North America AI in Agriculture Market, by Type, 2026 - 2035 (USD Billion)
8.3.3 North America AI in Agriculture Market, by Application, 2026 - 2035
8.3.3.1 North America AI in Agriculture Market, by Application, 2026 - 2035 (USD Billion)
8.3.4 North America AI in Agriculture Market, by End-Use, 2026 - 2035
8.3.4.1 North America AI in Agriculture Market, by End-Use, 2026 - 2035 (USD Billion)
8.4 Europe
8.4.1 Europe AI in Agriculture Market, 2026 - 2035 (USD Billion)
8.4.1.1 Europe AI in Agriculture Market, by Country, 2026 - 2035 (USD Billion)
8.4.2 Europe AI in Agriculture Market, by Type, 2026 - 2035
8.4.2.1 Europe AI in Agriculture Market, by Type, 2026 - 2035 (USD Billion)
8.4.3 Europe AI in Agriculture Market, by Application, 2026 - 2035
8.4.3.1 Europe AI in Agriculture Market, by Application, 2026 - 2035 (USD Billion)
8.4.4 Europe AI in Agriculture Market, by End-Use, 2026 - 2035
8.4.4.1 Europe AI in Agriculture Market, by End-Use, 2026 - 2035 (USD Billion)
8.5 Asia Pacific
8.5.1 Asia Pacific AI in Agriculture Market, 2026 - 2035 (USD Billion)
8.5.1.1 Asia Pacific AI in Agriculture Market, by Country, 2026 - 2035 (USD Billion)
8.5.2 Asia Pacific AI in Agriculture Market, by Type, 2026 - 2035
8.5.2.1 Asia Pacific AI in Agriculture Market, by Type, 2026 - 2035 (USD Billion)
8.5.3 Asia Pacific AI in Agriculture Market, by Application, 2026 - 2035
8.5.3.1 Asia Pacific AI in Agriculture Market, by Application, 2026 - 2035 (USD Billion)
8.5.4 Asia Pacific AI in Agriculture Market, by End-Use, 2026 - 2035
8.5.4.1 Asia Pacific AI in Agriculture Market, by End-Use, 2026 - 2035 (USD Billion)
8.6 Latin America
8.6.1 Latin America AI in Agriculture Market, 2026 - 2035 (USD Billion)
8.6.1.1 Latin America AI in Agriculture Market, by Country, 2026 - 2035 (USD Billion)
8.6.2 Latin America AI in Agriculture Market, by Type, 2026 - 2035
8.6.2.1 Latin America AI in Agriculture Market, by Type, 2026 - 2035 (USD Billion)
8.6.3 Latin America AI in Agriculture Market, by Application, 2026 - 2035
8.6.3.1 Latin America AI in Agriculture Market, by Application, 2026 - 2035 (USD Billion)
8.6.4 Latin America AI in Agriculture Market, by End-Use, 2026 - 2035
8.6.4.1 Latin America AI in Agriculture Market, by End-Use, 2026 - 2035 (USD Billion)
8.7 The Middle-East and Africa
8.7.1 The Middle-East and Africa AI in Agriculture Market, 2026 - 2035 (USD Billion)
8.7.1.1 The Middle-East and Africa AI in Agriculture Market, by Country, 2026 - 2035 (USD Billion)
8.7.2 The Middle-East and Africa AI in Agriculture Market, by Type, 2026 - 2035
8.7.2.1 The Middle-East and Africa AI in Agriculture Market, by Type, 2026 - 2035 (USD Billion)
8.7.3 The Middle-East and Africa AI in Agriculture Market, by Application, 2026 - 2035
8.7.3.1 The Middle-East and Africa AI in Agriculture Market, by Application, 2026 - 2035 (USD Billion)
8.7.4 The Middle-East and Africa AI in Agriculture Market, by End-Use, 2026 - 2035
8.7.4.1 The Middle-East and Africa AI in Agriculture Market, by End-Use, 2026 - 2035 (USD Billion)

Chapter 9. Company Profiles

9.1 Deere & Company
9.1.1 Overview
9.1.2 Financials
9.1.3 Product Portfolio
9.1.4 Business Strategy
9.1.5 Recent Developments
9.2 IBM Corporation
9.2.1 Overview
9.2.2 Financials
9.2.3 Product Portfolio
9.2.4 Business Strategy
9.2.5 Recent Developments
9.3 Microsoft Corporation
9.3.1 Overview
9.3.2 Financials
9.3.3 Product Portfolio
9.3.4 Business Strategy
9.3.5 Recent Developments
9.4 The Climate Corporation
9.4.1 Overview
9.4.2 Financials
9.4.3 Product Portfolio
9.4.4 Business Strategy
9.4.5 Recent Developments
9.5 Farmers Edge Inc
9.5.1 Overview
9.5.2 Financials
9.5.3 Product Portfolio
9.5.4 Business Strategy
9.5.5 Recent Developments

Frequently Asked Questions

AI in agriculture refers to technologies using machine learning, computer vision, and analytics to optimize farming practices and enhance productivity.

Key factors include population growth, labor shortages, precision farming adoption, and sustainability initiatives.

The market is projected to grow from approximately USD 3.17 billion in 2026 to USD 20.12 billion by 2035.

The CAGR is expected to be 22.85% during the forecast period.

North America will contribute the most, driven by technological advancements and investments.

Major players include Deere & Company, IBM Corporation, Microsoft Corporation, The Climate Corporation, and Farmers Edge Inc.

The report provides insights on size, trends, segments, regions, players, and forecasts.

Stages include data collection, algorithm development, hardware integration, deployment, and maintenance.

Trends focus on automation and sustainability, with preferences for cost-effective, eco-friendly solutions.

Government subsidies for digital farming and regulations on sustainable practices drive adoption.