人工智慧在农业领域的市场－全球产业规模、份额、趋势、机会和预测，依技术、产品、应用、地区和竞争格局划分，2020-2030年预测

2024年全球农业人工智慧市场规模为14.2亿美元，预计将以22.68%的复合年增长率成长，到2030年达到48.4亿美元。农业人工智慧应用机器学习、预测分析和自动化技术，旨在提高作物管理、牲畜监测和营运决策等方面的生产力，优化资源利用，并支援永续农业实践。市场成长的驱动因素包括全球粮食需求的成长、提高农业效率的需求以及持续的劳动力短缺。此外，数据驱动型农业解决方案的日益普及也进一步推动了该领域的应用。

主要市场驱动因素

全球农业人工智慧市场的成长主要得益于全球粮食需求的持续成长和技术的快速进步。

主要市场挑战

人工智慧技术所需的大量初始投资是市场扩张的一大障碍。

主要市场趋势

云端运算和边缘运算在农业营运中的协同作用

目录

第一章：产品概述

第二章：研究方法

第三章：执行概要

第四章：客户之声

第五章：全球农业人工智慧市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 依技术分类（机器学习、预测分析、电脑视觉）
  • 透过提供（硬体、软体、人工智慧即服务）
  • 依应用领域（精准农业、畜牧监测、农业机器人、无人机、其他）
  • 按地区
  • 按公司（2024 年）
• 市场地图

第六章：北美农业人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲农业人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区农业人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲农业人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第十章：南美洲农业人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章：市场动态

• 司机
• 挑战

第十二章：市场趋势与发展

• 併购（如有）
• 产品发布（如有）
• 最新进展

第十三章：全球农业人工智慧市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的潜力
• 供应商议价能力
• 顾客的力量
• 替代产品的威胁

第十五章：竞争格局

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

第十六章：策略建议

第17章调查会社について・免责事项

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.

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:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

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

16. Strategic Recommendations

17. About Us & Disclaimer