AI in Agriculture Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Technology, By Offering, By Application, By Region and Competition, 2020-2030F

Description

The Global AI in Agriculture Market, valued at USD 1.42 Billion in 2024, is projected to grow at a CAGR of 22.68% to reach USD 4.84 Billion by 2030. AI in agriculture applies machine learning, predictive analytics, and automation to enhance productivity, optimize resource use, and support sustainable farming practices across crop management, livestock monitoring, and operational decision-making. Market growth is driven by rising global food demand, the need to improve farm efficiency, and ongoing labor shortages. Adoption is further supported by increasing integration of data-driven agricultural solutions.

Market Overview
Forecast Period	2026-2030
Market Size 2024	USD 1.42 Billion
Market Size 2030	USD 4.84 Billion
CAGR 2025-2030	22.68%
Fastest Growing Segment	Software
Largest Market	North America

Key Market Drivers

The growth of the Global AI in Agriculture Market is substantially propelled by the persistent rise in global food demand and rapid technological advancements

Expanding global population levels continue to increase pressure on agricultural systems, necessitating higher productivity and more efficient resource use. According to the United Nations World Population Prospects 2024, the global population reached 8.2 billion in 2024 and is projected to peak at 10.3 billion in 2084, driving the need for scalable agricultural solutions. Parallel advances in artificial intelligence, robotics, and sensor technologies are enabling precision farming, automated harvesting, and advanced analytics. These innovations support real-time decision-making and operational efficiency. As evidence of adoption momentum, ElectroIQ reported that global agricultural robot sales rose by 21% in 2023, totaling 20,000 units.

Key Market Challenges

A significant impediment to market expansion is the substantial initial investment required for AI technologies

Adopting AI-driven agricultural solutions demands considerable capital for sensors, robotics, analytics platforms, and supporting digital infrastructure. These high upfront costs limit adoption, especially for smaller farming enterprises with constrained budgets. Reduced machinery investment further reflects financial pressures in the sector. According to CEMA, agricultural tractor registrations in Europe declined by 8.1% in 2024 compared to 2023, reaching their lowest level since at least 2014 due to diminished profitability and lower government subsidies. These financial constraints suppress purchases of modern equipment increasingly embedded with AI capabilities, delaying wider market adoption and slowing integration across the agricultural value chain.

Key Market Trends

Cloud and Edge Computing Synergy in Farm Operations

Edge and cloud computing integration is reshaping farm operations by enabling real-time data processing near the point of collection. This enhances responsiveness in areas such as irrigation, fertilization, and pest control, even where internet connectivity is limited. According to Corvalent, livestock monitoring systems utilizing edge computing reduced antibiotic usage by 68-77.5% and improved operational efficiency by 20-30%. Decentralized processing minimizes latency and supports autonomous equipment. The Association of Equipment Manufacturers highlighted in April 2024 that precision agriculture-heavily supported by edge and cloud systems-resulted in 30 million fewer pounds of herbicide applied, demonstrating the sustainability benefits of these technologies.

Key Market Players

IBM Corporation
Granular Inc.
Microsoft Corporation
Deere & Company
Climate LLC
Agribotix LLC
Descartes Labs Inc.
Prospera Technologies

Report Scope:

In this report, the Global AI in Agriculture Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AI in Agriculture Market, By Technology:

Machine Learning
Predictive Analytics
Computer Vision

AI in Agriculture Market, By Offering:

Hardware
Software
AI-As-A-Service

AI in Agriculture Market, By Application:

Precision Farming
Livestock Monitoring
Agriculture Robots
Drone
Others

AI in Agriculture Market, By Region:

North America
- United States
- Canada
- Mexico
Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
South America
- Brazil
- Argentina
- Colombia
Middle East & Africa
- South Africa
- Saudi Arabia
- UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global AI in Agriculture Market.

Available Customizations:

Global AI in Agriculture Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

1. Product Overview

1.1. Market Definition
1.2. Scope of the Market
- 1.2.1. Markets Covered
- 1.2.2. Years Considered for Study
- 1.2.3. Key Market Segmentations

2. Research Methodology

2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations

3. Executive Summary

3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global AI in Agriculture Market Outlook

5.1. Market Size & Forecast
- 5.1.1. By Value
5.2. Market Share & Forecast
- 5.2.1. By Technology (Machine Learning, Predictive Analytics, Computer Vision)
- 5.2.2. By Offering (Hardware, Software, AI-As-A-Service)
- 5.2.3. By Application (Precision Farming, Livestock Monitoring, Agriculture Robots, Drone, Others)
- 5.2.4. By Region
- 5.2.5. By Company (2024)
5.3. Market Map

6. North America AI in Agriculture Market Outlook

6.1. Market Size & Forecast
- 6.1.1. By Value
6.2. Market Share & Forecast
- 6.2.1. By Technology
- 6.2.2. By Offering
- 6.2.3. By Application
- 6.2.4. By Country
6.3. North America: Country Analysis
- 6.3.1. United States AI in Agriculture Market Outlook
  - 6.3.1.1. Market Size & Forecast
    - 6.3.1.1.1. By Value
  - 6.3.1.2. Market Share & Forecast
    - 6.3.1.2.1. By Technology
    - 6.3.1.2.2. By Offering
    - 6.3.1.2.3. By Application
- 6.3.2. Canada AI in Agriculture Market Outlook
  - 6.3.2.1. Market Size & Forecast
    - 6.3.2.1.1. By Value
  - 6.3.2.2. Market Share & Forecast
    - 6.3.2.2.1. By Technology
    - 6.3.2.2.2. By Offering
    - 6.3.2.2.3. By Application
- 6.3.3. Mexico AI in Agriculture Market Outlook
  - 6.3.3.1. Market Size & Forecast
    - 6.3.3.1.1. By Value
  - 6.3.3.2. Market Share & Forecast
    - 6.3.3.2.1. By Technology
    - 6.3.3.2.2. By Offering
    - 6.3.3.2.3. By Application

7. Europe AI in Agriculture Market Outlook

7.1. Market Size & Forecast
- 7.1.1. By Value
7.2. Market Share & Forecast
- 7.2.1. By Technology
- 7.2.2. By Offering
- 7.2.3. By Application
- 7.2.4. By Country
7.3. Europe: Country Analysis
- 7.3.1. Germany AI in Agriculture Market Outlook
  - 7.3.1.1. Market Size & Forecast
    - 7.3.1.1.1. By Value
  - 7.3.1.2. Market Share & Forecast
    - 7.3.1.2.1. By Technology
    - 7.3.1.2.2. By Offering
    - 7.3.1.2.3. By Application
- 7.3.2. France AI in Agriculture Market Outlook
  - 7.3.2.1. Market Size & Forecast
    - 7.3.2.1.1. By Value
  - 7.3.2.2. Market Share & Forecast
    - 7.3.2.2.1. By Technology
    - 7.3.2.2.2. By Offering
    - 7.3.2.2.3. By Application
- 7.3.3. United Kingdom AI in Agriculture Market Outlook
  - 7.3.3.1. Market Size & Forecast
    - 7.3.3.1.1. By Value
  - 7.3.3.2. Market Share & Forecast
    - 7.3.3.2.1. By Technology
    - 7.3.3.2.2. By Offering
    - 7.3.3.2.3. By Application
- 7.3.4. Italy AI in Agriculture Market Outlook
  - 7.3.4.1. Market Size & Forecast
    - 7.3.4.1.1. By Value
  - 7.3.4.2. Market Share & Forecast
    - 7.3.4.2.1. By Technology
    - 7.3.4.2.2. By Offering
    - 7.3.4.2.3. By Application
- 7.3.5. Spain AI in Agriculture Market Outlook
  - 7.3.5.1. Market Size & Forecast
    - 7.3.5.1.1. By Value
  - 7.3.5.2. Market Share & Forecast
    - 7.3.5.2.1. By Technology
    - 7.3.5.2.2. By Offering
    - 7.3.5.2.3. By Application

8. Asia Pacific AI in Agriculture Market Outlook

8.1. Market Size & Forecast
- 8.1.1. By Value
8.2. Market Share & Forecast
- 8.2.1. By Technology
- 8.2.2. By Offering
- 8.2.3. By Application
- 8.2.4. By Country
8.3. Asia Pacific: Country Analysis
- 8.3.1. China AI in Agriculture Market Outlook
  - 8.3.1.1. Market Size & Forecast
    - 8.3.1.1.1. By Value
  - 8.3.1.2. Market Share & Forecast
    - 8.3.1.2.1. By Technology
    - 8.3.1.2.2. By Offering
    - 8.3.1.2.3. By Application
- 8.3.2. India AI in Agriculture Market Outlook
  - 8.3.2.1. Market Size & Forecast
    - 8.3.2.1.1. By Value
  - 8.3.2.2. Market Share & Forecast
    - 8.3.2.2.1. By Technology
    - 8.3.2.2.2. By Offering
    - 8.3.2.2.3. By Application
- 8.3.3. Japan AI in Agriculture Market Outlook
  - 8.3.3.1. Market Size & Forecast
    - 8.3.3.1.1. By Value
  - 8.3.3.2. Market Share & Forecast
    - 8.3.3.2.1. By Technology
    - 8.3.3.2.2. By Offering
    - 8.3.3.2.3. By Application
- 8.3.4. South Korea AI in Agriculture Market Outlook
  - 8.3.4.1. Market Size & Forecast
    - 8.3.4.1.1. By Value
  - 8.3.4.2. Market Share & Forecast
    - 8.3.4.2.1. By Technology
    - 8.3.4.2.2. By Offering
    - 8.3.4.2.3. By Application
- 8.3.5. Australia AI in Agriculture Market Outlook
  - 8.3.5.1. Market Size & Forecast
    - 8.3.5.1.1. By Value
  - 8.3.5.2. Market Share & Forecast
    - 8.3.5.2.1. By Technology
    - 8.3.5.2.2. By Offering
    - 8.3.5.2.3. By Application

9. Middle East & Africa AI in Agriculture Market Outlook

9.1. Market Size & Forecast
- 9.1.1. By Value
9.2. Market Share & Forecast
- 9.2.1. By Technology
- 9.2.2. By Offering
- 9.2.3. By Application
- 9.2.4. By Country
9.3. Middle East & Africa: Country Analysis
- 9.3.1. Saudi Arabia AI in Agriculture Market Outlook
  - 9.3.1.1. Market Size & Forecast
    - 9.3.1.1.1. By Value
  - 9.3.1.2. Market Share & Forecast
    - 9.3.1.2.1. By Technology
    - 9.3.1.2.2. By Offering
    - 9.3.1.2.3. By Application
- 9.3.2. UAE AI in Agriculture Market Outlook
  - 9.3.2.1. Market Size & Forecast
    - 9.3.2.1.1. By Value
  - 9.3.2.2. Market Share & Forecast
    - 9.3.2.2.1. By Technology
    - 9.3.2.2.2. By Offering
    - 9.3.2.2.3. By Application
- 9.3.3. South Africa AI in Agriculture Market Outlook
  - 9.3.3.1. Market Size & Forecast
    - 9.3.3.1.1. By Value
  - 9.3.3.2. Market Share & Forecast
    - 9.3.3.2.1. By Technology
    - 9.3.3.2.2. By Offering
    - 9.3.3.2.3. By Application

10. South America AI in Agriculture Market Outlook

10.1. Market Size & Forecast
- 10.1.1. By Value
10.2. Market Share & Forecast
- 10.2.1. By Technology
- 10.2.2. By Offering
- 10.2.3. By Application
- 10.2.4. By Country
10.3. South America: Country Analysis
- 10.3.1. Brazil AI in Agriculture Market Outlook
  - 10.3.1.1. Market Size & Forecast
    - 10.3.1.1.1. By Value
  - 10.3.1.2. Market Share & Forecast
    - 10.3.1.2.1. By Technology
    - 10.3.1.2.2. By Offering
    - 10.3.1.2.3. By Application
- 10.3.2. Colombia AI in Agriculture Market Outlook
  - 10.3.2.1. Market Size & Forecast
    - 10.3.2.1.1. By Value
  - 10.3.2.2. Market Share & Forecast
    - 10.3.2.2.1. By Technology
    - 10.3.2.2.2. By Offering
    - 10.3.2.2.3. By Application
- 10.3.3. Argentina AI in Agriculture Market Outlook
  - 10.3.3.1. Market Size & Forecast
    - 10.3.3.1.1. By Value
  - 10.3.3.2. Market Share & Forecast
    - 10.3.3.2.1. By Technology
    - 10.3.3.2.2. By Offering
    - 10.3.3.2.3. By Application

11. Market Dynamics

11.1. Drivers
11.2. Challenges

12. Market Trends & Developments

12.1. Merger & Acquisition (If Any)
12.2. Product Launches (If Any)
12.3. Recent Developments

13. Global AI in Agriculture Market: SWOT Analysis

14. Porter's Five Forces Analysis

14.1. Competition in the Industry
14.2. Potential of New Entrants
14.3. Power of Suppliers
14.4. Power of Customers
14.5. Threat of Substitute Products

15. Competitive Landscape

15.1. IBM Corporation
- 15.1.1. Business Overview
- 15.1.2. Products & Services
- 15.1.3. Recent Developments
- 15.1.4. Key Personnel
- 15.1.5. SWOT Analysis
15.2. Granular Inc.
15.3. Microsoft Corporation
15.4. Deere & Company
15.5. Climate LLC
15.6. Agribotix LLC
15.7. Descartes Labs Inc.
15.8. Prospera Technologies