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AI in Agriculture: Global Markets

Publisher BCC Research
Published Nov 10, 2025
Length 124 Pages
SKU # WA20580210

Description

Report Scope

This report presents qualitative and quantitative data on the current market dynamics and trends in the global market for AI in agriculture. The report also assesses recent technological developments and software performance. Analyses of the most popular software, new product approvals and emerging technologies are also included. The market prospects for four regions—North America, Europe, Asia-Pacific, the Middle East and Africa, and South America—are discussed. The report also includes profiles of leading companies and their strategies.

This in-depth analysis of the global AI in agriculture market, emphasizing the major driving forces and emerging technologies shaping this rapidly evolving field, explores how AI transforms agriculture through enhanced technologies, such as drone-based and predictive analytics and crop monitoring. It also examines AI disruption across industry verticals and value chain stages, while presenting market spending patterns, investment forecasts, expenditures of major companies and venture capital funding in AI-driven technologies. The market is divided based on components, applications, technology and region. Based on components, the market is segmented into software, hardware and services. Based on technology, the market is segmented into natural language processing, machine learning, computer vision and predictive analysis. Based on applications, the market is segmented into precision farming, drone analytics, agricultural robots, livestock monitoring and others. For market estimates, data has been provided for 2024 as the base year, with estimates for 2025 and forecasts for 2025 through 2030.

Report Includes
  • 42 data tables and 54 additional tables
  • Overview and an analysis of the global market for AI in the agriculture sector
  • Analyses of the global market trends, with revenue data for 2024, estimates for 2025, and projections of compound annual growth rates (CAGRs) through 2030
  • Estimates of the market’s size and revenue growth prospects, accompanied by a market share analysis by components, technology, application and region
  • Facts and figures pertaining to market dynamics, opportunities and deterrents, technological advances, regulations, innovations and standards and the impacts of macroeconomic variables
  • Impact analysis of U.S. tariff laws on the industry
  • Insights derived from Porter’s Five Forces model, as well as a global supply chain analysis
  • Case studies on AI implementation to improve processes and business operations in the sector
  • Overview of sustainability trends and ESG developments, with emphasis on consumer attitudes, as well as the ESG risk ratings and practices of leading companies
  • Analysis of the industry structure, including companies’ market shares and rankings, strategic initiatives, M&A activity and a venture funding outlook
  • Profiles of the leading companies, including Microsoft, IBM Corp., Deere & Co., Syngenta AG and Bayer CropScience


Companies Mentioned

Aerobotics Pty. Ltd.
Bayer Ag
Cropin Technology Solutions Pvt. Ltd.
Cropx Inc.
Deere & Co.
Eaglenxt
Ecorobotix
Gamaya
Ibm Corp.
Intellias
Microsoft
N-ix Llc.
Syngenta Ag
Taranis
Trimble Inc.

Table of Contents

124 Pages
Chapter 1 Executive Summary
Market Outlook
Scope of Report
Market Summary
Market Dynamics and Growth Factors
Emerging Technologies
Segmental Analysis
Regional Analysis
Conclusion
Chapter 2 Market Overview
Overview
Macroeconomic Factors Analysis
Government Policy and Regulation
Technological Infrastructure and Digital Readiness
Global Trade and Supply Chain Dynamics
Impact of U.S. Tariffs
Porter's Five Forces Analysis
Potential for New Entrants (Moderate)
Bargaining Power of Suppliers (High)
Bargaining Power of Buyers (High)
Threat of Substitute Products or Services (Moderate)
Level of Industry Competitiveness (High)
AI Impact on the Agricultural Value Chain
Development of New Seed Varieties, Herbicides or Fertilizers -- Accelerated Innovation
Automated Growing and Production Practices
Processing, Packaging and Storage
Distribution to End Users and Retailers
Use Cases
Use Case 1: Optimizing Automated Irrigation Systems
Use Case 2: Automated Weed Control Systems
Use Case 3: Livestock Health Monitoring
Use Case 4: Automated Pest Control Systems
Use Case 5: Crop Yield Visualization and Forecasting
Chapter 3 Market Dynamics
Overview
Market Drivers
Adoption Is Driven by Labor Shortages and Escalating Labor Costs
Adoption of Drone-based Weed and Pest Management
Market Restraints
Infrastructure Gaps in Developing Regions Hinder the Widespread Use of AI in Agriculture
Data-Related Challenges Impact the Scaling of AI in Agriculture
Market Opportunities
Start-Ups and AgTech Investments Drive AI Adoption in Agriculture
Greenhouse Farming Offers Opportunity for AI in Agriculture
Market Challenges
High Implementation Costs
Chapter 4 Regulatory Landscape
Overview
Regulatory Scenario of AI in Agriculture
Chapter 5 Emerging Trends and Patent Analysis
Emerging Technology
Internet of Things and Edge AI
Natural Language Processing
Generative AI in Agriculture
Patent Analysis
Key Findings
Overview
Chapter 6 Market Segmentation Analysis
Segmentation Breakdown
Market Analysis by Components
Key Takeaways
Software
Services
Hardware
Market Analysis by Technology
Key Takeaways
Machine Learning
Computer Vision
Natural Language Processing
Predictive Analytics
Market Analysis by Application
Key Takeaways
Precision Farming
Drone Analytics
Agricultural Robots
Livestock Monitoring
Other Applications
Geographic Breakdown
Market Analysis by Region
Key Takeaways
North America
Europe
Asia-Pacific
Middle East and Africa
South America
Chapter 7 Competitive Intelligence
Key Takeaways
Competitive Analysis
Strategic Analysis
Investment Landscape
Chapter 8 Sustainability in AI in the Agriculture Industry: ESG Perspective
Introduction to ESG
Sustainability Trends and Initiatives in AI in the Agriculture Industry
ESG Risk Ratings
Concluding Remarks from BCC Research
Chapter 9 Appendix
Research Methodology
Sources
Abbreviations
Company Profiles
AEROBOTICS PTY. LTD.
BAYER AG
CROPIN TECHNOLOGY SOLUTIONS PVT. LTD.
CROPX INC.
DEERE & CO.
EAGLENXT
ECOROBOTIX
GAMAYA
IBM CORP.
INTELLIAS
MICROSOFT
N-IX LLC.
SYNGENTA AG
TARANIS
TRIMBLE INC.
Emerging Start-ups/Market Disruptors

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