한글목차

세계의 농업용 AI 시장은 2024년에 14억 2,000만 달러로 평가되었고, 2030년까지 연평균 복합 성장률(CAGR) 22.68%로 성장하여 48억 4,000만 달러에 이를 것으로 예측됩니다.

농업용 AI는 머신러닝, 예측 분석, 자동화를 적용하여 생산성 향상, 자원 활용 최적화, 지속 가능한 농업 관행 지원, 작물 관리, 가축 모니터링, 운영상의 의사결정 등 전 영역에 걸쳐 AI를 적용합니다. 시장 성장은 전 세계 식량 수요 증가, 농업 효율성 개선의 필요성, 지속적인 노동력 부족에 의해 주도되고 있습니다. 데이터 기반 농업 솔루션의 통합이 진행되고 있는 것도 도입을 더욱 촉진하고 있습니다.

주요 시장 성장 촉진요인

세계 농업용 AI 시장 성장은 전 세계 식량 수요의 지속적인 증가와 급속한 기술 발전에 의해 크게 촉진되고 있습니다.

주요 시장 과제

시장 확대의 가장 큰 장벽은 AI 기술 도입에 필요한 막대한 초기 투자 비용입니다.

주요 시장 동향

농업 운영에서 클라우드와 엣지 컴퓨팅의 시너지 효과

목차

제1장 개요

제2장 조사 방법

제3장 주요 요약

제4장 고객의 소리

제5장 세계의 농업용 AI 시장 전망

• 시장 규모와 예측
  • 금액별
• 시장 점유율과 예측
  • 기술별(머신러닝, 예측 분석, 컴퓨터 비전)
  • 제공 형태별(하드웨어, 소프트웨어, AI-As-A-Service)
  • 용도별(정밀농업, 가축 모니터링, 농업용 로봇, 드론, 기타)
  • 지역별
  • 기업별(2024년)
• 시장 맵

제6장 북미의 농업용 AI 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 북미 : 국가별 분석
  • 미국
  • 캐나다
  • 멕시코

제7장 유럽의 농업용 AI 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 유럽 : 국가별 분석
  • 독일
  • 프랑스
  • 영국
  • 이탈리아
  • 스페인

제8장 아시아태평양의 농업용 AI 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 아시아태평양 : 국가별 분석
  • 중국
  • 인도
  • 일본
  • 한국
  • 호주

제9장 중동 및 아프리카의 농업용 AI 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 중동 및 아프리카 : 국가별 분석
  • 사우디아라비아
  • 아랍에미리트(UAE)
  • 남아프리카공화국

제10장 남미의 농업용 AI 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 남미 : 국가별 분석
  • 브라질
  • 콜롬비아
  • 아르헨티나

제11장 시장 역학

• 성장 촉진요인
• 과제

제12장 시장 동향과 발전

• 인수합병(M&A)
• 제품 출시
• 최근 동향

제13장 세계의 농업용 AI 시장 : SWOT 분석

제14장 Porter의 Five Forces 분석

• 업계내 경쟁
• 신규 참여 가능성
• 공급업체의 힘
• 고객의 힘
• 대체품의 위협

제15장 경쟁 구도

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

제16장 전략적 제안

제17장 회사 소개 및 면책조항

영문목차

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