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농업용 AI : 세계 시장 전망(2018-2027년)

Artificial Intelligence in Agriculture - Global Market Outlook (2018-2027)

리서치사 Stratistics Market Research Consulting
발행일 2020년 05월 상품 코드 939165
페이지 정보 영문 140 Pages
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농업용 AI : 세계 시장 전망(2018-2027년) Artificial Intelligence in Agriculture - Global Market Outlook (2018-2027)
발행일 : 2020년 05월 페이지 정보 : 영문 140 Pages

본 상품은 영문 자료로 한글과 영문목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계의 농업용 AI 시장은 예측 기간 중 23.7%의 CAGR로 추이하며, 2018년의 6억 5000만 달러에서 2027년에는 44억 3000만 달러 규모로 성장할 것으로 예측됩니다. 센서 및 공중 영상에 의한 데이터 생성 기술의 실장 확대, 딥러닝 기술에 의한 생산성의 향상, 최신 농업기술의 도입에 대한 정부 지원 등의 요인이 이 시장의 성장을 촉진하고 있습니다. 한편, 정확한 필드 데이터 수집은 고액의 비용을 필요로 하므로 이 시장의 성장을 방해하고 있습니다.

세계의 농업용 AI 시장을 조사했으며, 시장 및 제품의 개요, 시장 성장에 대한 각종 영향요인 및 시장 기회 분석, 기술·용도·컴포넌트·도입 구분·지역/주요 국가 등 각종 부문별 동향과 시장 규모의 추이와 예측, 경쟁 환경, 주요 기업의 개요 등을 정리하여 전해드립니다.

제1장 개요

제2장 서문

제3장 시장 동향 분석

  • 서론
  • 촉진요인
  • 억제요인
  • 시장 기회
  • 위협
  • 테크놀러지 분석
  • 용도 분석
  • 신흥 시장
  • Covid-19의 영향

제4장 Porter의 산업 분석

제5장 세계의 농업용 AI 시장 : 기술별

  • 서론
  • 컴퓨터 비전
  • 기계학습·딥러닝
  • 예측 분석

제6장 세계의 농업용 AI 시장 : 컴포넌트별

  • 서론
  • 소프트웨어
    • AI 솔루션
    • AI 플랫폼
  • 하드웨어
    • 스토리지 디바이스
    • 프로세서
    • 네트워크
  • 서비스
    • 지원·유지보수
    • 도입·통합
    • 매니지드 서비스
    • 전문 서비스
  • AIaaS(AI-as-a-Service)

제7장 세계의 농업용 AI 시장 : 용도별

  • 서론
  • 작물·과일·채소·기타
    • 정밀농업
    • 작물 성장 평가
    • 농업기계 자동화
  • 얼굴 인식
  • 농업용 드론
  • 농업 로봇
  • 가축 모니터링
    • 헬스 모니터링
    • 성장 모니터링
  • 무인 트랙터
  • 드론 애널리틱스
  • 노무관리
  • 기타
    • 토양 관리
    • 스마트 온실 관리
    • 양어 관리

제8장 세계의 농업용 AI 시장 : 농업 유형별

  • 서론
  • 실내 농업
  • 밭농사
  • 축산

제9장 세계의 농업용 AI 시장 : 도입별

  • 서론
  • 하이브리드
  • 클라우드
  • 온프레미스

제10장 세계의 농업용 AI 시장 : 지역별

  • 서론
  • 북미
  • 유럽
  • 아시아태평양
  • 남미
  • 중동·아프리카

제11장 주요 개발

  • 계약·제휴·협업·JV
  • M&A
  • 신제품 발매
  • 확장
  • 기타 주요 전략

제12장 기업 개요

  • Farmers Edge
  • Granular
  • Ageagle
  • Descartes Labs
  • Gamaya
  • Ec2Ce
  • Precision Hawk
  • IBM
  • Deere & Company
  • Microsoft
  • The Climate Corporation
  • Prospera
  • Taranis
  • Awhere
  • Right-To-Win
  • Vision Robotics
  • Autonomous Tractor Corporation
  • Tule Technologies
  • Resson
  • Cropx Technologies
KSA 20.06.12

List of Tables

  • Table 1 Global Artificial Intelligence in Agriculture Market Outlook, By Region (2017-2027) ($MN)
  • Table 2 Global Artificial Intelligence in Agriculture Market Outlook, By Technology (2017-2027) ($MN)
  • Table 3 Global Artificial Intelligence in Agriculture Market Outlook, By Computer Vision (2017-2027) ($MN)
  • Table 4 Global Artificial Intelligence in Agriculture Market Outlook, By Machine Learning & Deep Learning (2017-2027) ($MN)
  • Table 5 Global Artificial Intelligence in Agriculture Market Outlook, By Predictive Analytics (2017-2027) ($MN)
  • Table 6 Global Artificial Intelligence in Agriculture Market Outlook, By Component (2017-2027) ($MN)
  • Table 7 Global Artificial Intelligence in Agriculture Market Outlook, By Software (2017-2027) ($MN)
  • Table 8 Global Artificial Intelligence in Agriculture Market Outlook, By AI Solution (2017-2027) ($MN)
  • Table 9 Global Artificial Intelligence in Agriculture Market Outlook, By AI Platform (2017-2027) ($MN)
  • Table 10 Global Artificial Intelligence in Agriculture Market Outlook, By Hardware (2017-2027) ($MN)
  • Table 11 Global Artificial Intelligence in Agriculture Market Outlook, By Storage Device (2017-2027) ($MN)
  • Table 12 Global Artificial Intelligence in Agriculture Market Outlook, By Processor (2017-2027) ($MN)
  • Table 13 Global Artificial Intelligence in Agriculture Market Outlook, By Network (2017-2027) ($MN)
  • Table 14 Global Artificial Intelligence in Agriculture Market Outlook, By Services (2017-2027) ($MN)
  • Table 15 Global Artificial Intelligence in Agriculture Market Outlook, By Support & Maintenance (2017-2027) ($MN)
  • Table 16 Global Artificial Intelligence in Agriculture Market Outlook, By Deployment & Integration (2017-2027) ($MN)
  • Table 17 Global Artificial Intelligence in Agriculture Market Outlook, By Managed (2017-2027) ($MN)
  • Table 18 Global Artificial Intelligence in Agriculture Market Outlook, By Professional (2017-2027) ($MN)
  • Table 19 Global Artificial Intelligence in Agriculture Market Outlook, By AI-as-a-Service (2017-2027) ($MN)
  • Table 20 Global Artificial Intelligence in Agriculture Market Outlook, By Application (2017-2027) ($MN)
  • Table 21 Global Artificial Intelligence in Agriculture Market Outlook, By Crops, Fruits, Vegetables, and Other Plants (2017-2027) ($MN)
  • Table 22 Global Artificial Intelligence in Agriculture Market Outlook, By Precision Farming (2017-2027) ($MN)
  • Table 23 Global Artificial Intelligence in Agriculture Market Outlook, By Crop Growth Assessment (2017-2027) ($MN)
  • Table 24 Global Artificial Intelligence in Agriculture Market Outlook, By Farm Machinery Automation (2017-2027) ($MN)
  • Table 25 Global Artificial Intelligence in Agriculture Market Outlook, By Facial Recognition (2017-2027) ($MN)
  • Table 26 Global Artificial Intelligence in Agriculture Market Outlook, By Agricultural Drones (2017-2027) ($MN)
  • Table 27 Global Artificial Intelligence in Agriculture Market Outlook, By Agriculture Robots (2017-2027) ($MN)
  • Table 28 Global Artificial Intelligence in Agriculture Market Outlook, By Livestock Monitoring (2017-2027) ($MN)
  • Table 29 Global Artificial Intelligence in Agriculture Market Outlook, By Animal Health Monitoring (2017-2027) ($MN)
  • Table 30 Global Artificial Intelligence in Agriculture Market Outlook, By Animal Growth Monitoring (2017-2027) ($MN)
  • Table 31 Global Artificial Intelligence in Agriculture Market Outlook, By Driverless Tractors (2017-2027) ($MN)
  • Table 32 Global Artificial Intelligence in Agriculture Market Outlook, By Drone Analytics (2017-2027) ($MN)
  • Table 33 Global Artificial Intelligence in Agriculture Market Outlook, By Labor Management (2017-2027) ($MN)
  • Table 34 Global Artificial Intelligence in Agriculture Market Outlook, By Other Applications (2017-2027) ($MN)
  • Table 35 Global Artificial Intelligence in Agriculture Market Outlook, By Soil Management (2017-2027) ($MN)
  • Table 36 Global Artificial Intelligence in Agriculture Market Outlook, By Smart Greenhouse Management (2017-2027) ($MN)
  • Table 37 Global Artificial Intelligence in Agriculture Market Outlook, By Fish Farming Management (2017-2027) ($MN)
  • Table 38 Global Artificial Intelligence in Agriculture Market Outlook, By Farming Type (2017-2027) ($MN)
  • Table 39 Global Artificial Intelligence in Agriculture Market Outlook, By Indoor Farming (2017-2027) ($MN)
  • Table 40 Global Artificial Intelligence in Agriculture Market Outlook, By Field Farming (2017-2027) ($MN)
  • Table 41 Global Artificial Intelligence in Agriculture Market Outlook, By Livestock Farming (2017-2027) ($MN)
  • Table 42 Global Artificial Intelligence in Agriculture Market Outlook, By Deployment (2017-2027) ($MN)
  • Table 43 Global Artificial Intelligence in Agriculture Market Outlook, By Hybrid (2017-2027) ($MN)
  • Table 44 Global Artificial Intelligence in Agriculture Market Outlook, By Cloud (2017-2027) ($MN)
  • Table 45 Global Artificial Intelligence in Agriculture Market Outlook, By On-premise (2017-2027) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

According to Stratistics MRC, the Global Artificial Intelligence in Agriculture market is accounted for $0.65 billion in 2018 and is expected to reach $4.43 billion by 2027 growing at a CAGR of 23.7% during the forecast period. Some of the key factors propelling the market growth include increasing implementation of data generation through sensors and aerial images for crops, rising crop productivity through deep-learning technology, and government support for the adoption of modern agricultural techniques. However, high cost of gathering precise field data hampers the market growth.

Artificial intelligence (AI) is a program based technology, owing to which digital computers and robots can perform real-time tasks by using cognitive human intelligence such as speech recognition, visual perception, decision making etc. AI in agriculture is commonly used for precision farming, crop monitoring, crop analytics, etc. It has various applications ranging from rural automatons, computerized water system frameworks, facial acknowledgment, and driverless tractors. This artificial intelligence in agriculture applications is done in a relationship with an alternate sort of sensors, radars, GPS frameworks, other cutting-edge contraptions dependent on AI.

By application, the drone analytics segment is expected to grow at the significant rate during the forecast period, due to its extensive use for diagnosing and mapping to evaluate crop health and to make real-time decisions. Favourable government mandates for the use of drones in agriculture are also expected to fuel the growth of the drone analytics market. Moreover, increasing awareness among farm owners regarding the advantages of drone analytics associated with AI technology is expected to further fuel the growth of the AI in agriculture market.

On the basis of geography, The AI in agriculture market in Asia Pacific is expected to witness the significant growth during the forecast period, owing to the wide-scale adoption of AI technologies in agriculture farms. AI is increasingly applied in the agriculture sector in developing countries, such as India and China. The increasing adoption of deep learning and computer vision algorithm for agriculture applications is also expected to fuel the growth of the AI in agriculture market in the Asia Pacific region.

Some of the key players in artificial intelligence in agriculture market include Farmers Edge, Granular, Ageagle, Descartes Labs, Gamaya, Ec2Ce, Precision Hawk, IBM, Deere & Company, Microsoft, The Climate Corporation, Prospera, Taranis, Awhere, Right-To-Win, Vision Robotics, Autonomous Tractor Corporation, Tule Technologies, Resson, and Cropx Technologies.

Technologies Covered:

  • Computer Vision
  • Machine Learning & Deep Learning
  • Predictive Analytics

Components Covered:

  • Software
  • Hardware
  • Services
  • AI-as-a-Service

Applications Covered:

  • Crops, Fruits, Vegetables, and Other Plants
  • Facial Recognition
  • Agricultural Drones
  • Agriculture Robots
  • Livestock Monitoring
  • Driverless Tractors
  • Drone Analytics
  • Labor Management
  • Other Applications

Farming Types Covered:

  • Indoor Farming
  • Field Farming
  • Livestock Farming

Deployments Covered:

  • Hybrid
  • Cloud
  • On-premise

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • Italy
    • UK
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2017, 2018, 2019, 2023 and 2027
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic analysis: Drivers and Constraints, Product/Technology Analysis, Porter's five forces analysis, SWOT analysis, etc.
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Artificial Intelligence in Agriculture Market, By Technology

  • 5.1 Introduction
  • 5.2 Computer Vision
  • 5.3 Machine Learning & Deep Learning
  • 5.4 Predictive Analytics

6 Global Artificial Intelligence in Agriculture Market, By Component

  • 6.1 Introduction
  • 6.2 Software
    • 6.2.1 AI Solution
    • 6.2.2 AI Platform
  • 6.3 Hardware
    • 6.3.1 Storage Device
    • 6.3.2 Processor
    • 6.3.3 Network
  • 6.4 Services
    • 6.4.1 Support & Maintenance
    • 6.4.2 Deployment & Integration
    • 6.4.3 Managed
    • 6.4.4 Professional
  • 6.5 AI-as-a-Service

7 Global Artificial Intelligence in Agriculture Market, By Application

  • 7.1 Introduction
  • 7.2 Crops, Fruits, Vegetables, and Other Plants
    • 7.2.1 Precision Farming
      • 7.2.1.1 Field Mapping
      • 7.2.1.2 Yield Monitoring
      • 7.2.1.3 Weather Tracking & Forecasting
      • 7.2.1.4 Crop Scouting
      • 7.2.1.5 Irrigation Management
    • 7.2.2 Crop Growth Assessment
    • 7.2.3 Farm Machinery Automation
  • 7.3 Facial Recognition
  • 7.4 Agricultural Drones
  • 7.5 Agriculture Robots
  • 7.6 Livestock Monitoring
    • 7.6.1 Animal Health Monitoring
    • 7.6.2 Animal Growth Monitoring
  • 7.7 Driverless Tractors
  • 7.8 Drone Analytics
  • 7.9 Labor Management
  • 7.10 Other Applications
    • 7.10.1 Soil Management
      • 7.10.1.1 Nutrient Monitoring
      • 7.10.1.2 Moisture Monitoring
    • 7.10.2 Smart Greenhouse Management
    • 7.10.3 Fish Farming Management

8 Global Artificial Intelligence in Agriculture Market, By Farming Type

  • 8.1 Introduction
  • 8.2 Indoor Farming
  • 8.3 Field Farming
  • 8.4 Livestock Farming

9 Global Artificial Intelligence in Agriculture Market, By Deployment

  • 9.1 Introduction
  • 9.2 Hybrid
  • 9.3 Cloud
  • 9.4 On-premise

10 Global Artificial Intelligence in Agriculture Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Farmers Edge
  • 12.2 Granular
  • 12.3 Ageagle
  • 12.4 Descartes Labs
  • 12.5 Gamaya
  • 12.6 Ec2Ce
  • 12.7 Precision Hawk
  • 12.8 IBM
  • 12.9 Deere & Company
  • 12.10 Microsoft
  • 12.11 The Climate Corporation
  • 12.12 Prospera
  • 12.13 Taranis
  • 12.14 Awhere
  • 12.15 Right-To-Win
  • 12.16 Vision Robotics
  • 12.17 Autonomous Tractor Corporation
  • 12.18 Tule Technologies
  • 12.19 Resson
  • 12.20 Cropx Technologies
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