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市場調查報告書
商品編碼
1878993

人工智慧在農業領域的市場－全球產業規模、佔有率、趨勢、機會和預測，依技術、產品、應用、地區和競爭格局分類，2020-2030年預測

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
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024年全球農業人工智慧市場規模為14.2億美元，預計將以22.68%的複合年成長率成長，到2030年達到48.4億美元。農業人工智慧應用機器學習、預測分析和自動化技術，旨在提高作物管理、牲畜監測和營運決策等方面的生產力，最佳化資源利用，並支援永續農業實踐。市場成長的促進因素包括全球糧食需求的成長、提高農業效率的需求以及持續的勞動力短缺。此外，數據驅動型農業解決方案的日益普及也進一步推動了該領域的應用。

市場概覽
預測期 2026-2030
2024年市場規模 14.2億美元
2030年市場規模 48.4億美元
2025-2030年複合年成長率 22.68%
成長最快的細分市場 軟體
最大的市場 北美洲

主要市場促進因素

全球農業人工智慧市場的成長主要得益於全球糧食需求的持續成長和技術的快速進步。

主要市場挑戰

人工智慧技術所需的大量初始投資是市場擴張的一大障礙。

主要市場趨勢

雲端運算和邊緣運算在農業營運中的協同作用

目錄

第1章：產品概述

第2章：研究方法

第3章：執行概要

第4章：客戶之聲

第5章：全球農業人工智慧市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 依技術分類（機器學習、預測分析、電腦視覺）
    • 透過提供（硬體、軟體、人工智慧即服務）
    • 依應用領域（精準農業、畜牧監測、農業機器人、無人機、其他）
    • 按地區
    • 按公司（2024 年）
  • 市場地圖

第6章：北美農業人工智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲農業人工智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區農業人工智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲農業人工智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲農業人工智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章：市場動態

  • 促進要素
  • 挑戰

第12章：市場趨勢與發展

  • 併購（如有）
  • 產品發布（如有）
  • 最新進展

第13章：全球農業人工智慧市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商議價能力
  • 顧客的力量
  • 替代產品的威脅

第15章：競爭格局

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

第16章：策略建議

第17章調查會社について,免責事項

簡介目錄
Product Code: 1880

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 Period2026-2030
Market Size 2024USD 1.42 Billion
Market Size 2030USD 4.84 Billion
CAGR 2025-203022.68%
Fastest Growing SegmentSoftware
Largest MarketNorth 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:

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