Global Information
회사소개 | 문의 | 비교리스트

세계의 농업용 AI 시장

Global AI in Agriculture Market Market 2019-2025

리서치사 Orion Market Research Pvt Ltd
발행일 2019년 05월 상품 코드 869612
페이지 정보 영문
가격
US $ 3,600 ₩ 4,278,000 Unprintable PDF (Single User License)
US $ 4,800 ₩ 5,704,000 Printable PDF (Enterprise License)


세계의 농업용 AI 시장 Global AI in Agriculture Market Market 2019-2025
발행일 : 2019년 05월 페이지 정보 : 영문

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

세계의 농업용 AI 시장에 대해 조사 분석했으며, 시장 개요, 시장 결정요인, 시장 세분화, 경쟁 상황, 지역별 분석, 주요 기업 등에 대한 체계적인 정보를 제공합니다.

제1장 보고서 요약

제2장 시장 개요와 인사이트

  • 조사 범위
  • 애널리스트의 견해와 현재 시장 동향
  • 규칙과 규제

제3장 경쟁 상황

  • 경쟁 대시보드
  • 주요 전략 분석
  • 주요 기업 분석
    • Cargill, Inc.
    • Deere & Co.
    • IBM Corp.
    • AgEagle Aerial Systems, Inc.
    • Microsoft Corp.

제4장 시장 결정요인

  • 성장 촉진요인
  • 성장 억제요인
  • 기회

제5장 시장 세분화

  • 전개별
  • 용도별

제6장 지역별 분석

  • 북미
  • 유럽
  • 아시아태평양
  • 기타

제7장 기업 개요

  • A.A.A Taranis Visual Ltd.
  • AgEagle Aerial Systems, Inc.
  • Autonomous Tractor Corp.
  • aWhere
  • Cainthus
  • Cargill Inc.
  • Connecterra B.V.
  • CropX Ltd.
  • Deere & Co.
  • Descartes Labs, Inc.
  • Easytosee Agtech, S.L
  • Gamaya
  • Granular, Inc.
  • Harvest Croo, LLC
  • IBM Corp.
  • Intel Corp.
  • Microsoft Corp.
  • PrecisionHawk, Inc.
  • Tule Technologies Inc.
  • VineView SAI, Inc.
  • Vision Robotics Corp.
KSM 19.06.27

List of Tables

  • 1. GLOBAL AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT , 2018-2025 ($ MILLION)
  • 2. GLOBAL CLOUD-BASED AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 3. GLOBAL ON-PREMISE AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 4. GLOBAL AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 5. GLOBAL AI IN PRECISION FARMING MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 6. GLOBAL AI IN AGRICULTURE ROBOTS MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 7. GLOBAL AI IN LIVESTOCK MONITORING MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 8. GLOBAL AI IN OTHER APPLICATIONS MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 9. GLOBAL AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY GEOGRAPHY, 2018-2025 ($ MILLION)
  • 10. NORTH AMERICAN AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 11. NORTH AMERICAN AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2018-2025 ($ MILLION)
  • 12. NORTH AMERICAN AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 13. EUROPEAN AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 14. EUROPEAN AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2018-2025 ($ MILLION)
  • 15. EUROPEAN AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 16. ASIA-PACIFIC AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 17. ASIA-PACIFIC AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2018-2025 ($ MILLION)
  • 18. ASIA-PACIFIC AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 19. REST OF THE WORLD AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2018-2025 ($ MILLION)
  • 20. REST OF THE WORLD AI IN AGRICULTURE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)

List of Figures

  • 1. GLOBAL AI IN AGRICULTURE MARKET SHARE BY DEPLOYMENT, 2018 VS 2025 (%)
  • 2. GLOBAL AI IN AGRICULTURE MARKET SHARE BY APPLICATION, 2018 VS 2025 (%)
  • 3. GLOBAL AI IN AGRICULTURE MARKET SHARE BY GEOGRAPHY, 2018 VS 2025 (%)
  • 4. US AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 5. CANADA AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 6. UK AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 7. FRANCE AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 8. GERMANY AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 9. ITALY AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 10. SPAIN AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 11. ROE AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 12. INDIA AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 13. CHINA AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 14. JAPAN AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 15. REST OF ASIA-PACIFIC AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)
  • 16. REST OF THE WORLD AI IN AGRICULTURE MARKET SIZE, 2018-2025 ($ MILLION)

Global AI (Artificial Intelligence) in Agriculture Market Size, Share & Trends Analysis Report by Deployment (Cloud-Based and On-Premise) and by Application (Precision Farming, Agriculture Robots, Livestock Monitoring, and Others) and Forecast, 2019-2025

Global AI in agriculture market is witnessing a significant growth owing to the increasing government support for the adoption of modern technologies in the agriculture application and rising productivity of the crops by using deep learning technologies. AI can be implemented at a variety of scales in agriculture. The data composed from sensors can be transformed by AI into information to provide entire farm monitoring and planning crops management, by determining management results for specific animals and plants. AI and machine learning applications are being established to notify possible production consequences for a variety of situations using historic and real-time data. Moreover, the rising application of agriculture drone and unmanned aerial vehicles (UAVs) will propel the market growth during the forecast period.

The global AI in agriculture market is further segmented based on geography which includes North America, Europe, Asia-Pacific and Rest of the World. AI in agriculture market in North America is estimated to have a significant market share due to the availability of various advanced AI technology such as agriculture robots in the agriculture industry. Further, Asia-Pacific is estimated to exhibit a considerable market growth in the global AI in agriculture market owing to the increasing government initiatives for growing productivity of crops using advanced technologies such as machine learning and predictive analytics.

Moreover, the global AI in agriculture market have been positively influenced by the product development and technological advancements offered by the market players. Some of the players operating in the AI in agriculture market include AgEagle Aerial Systems, Inc., Cargill Inc., Deere & Company, IBM Corp., Intel Corp., Microsoft Corp., PrecisionHawk, Inc., A.A.A Taranis Visual Ltd., and Tule Technologies. These players are playing a significant role in the growth of the AI in agriculture market by providing various products and adopting several strategies such as a merger and acquisition, partnerships, collaboration, and others. For Instance, in September 2017, Deere & Company acquired Blue River Technology to develop machine learning capabilities in agriculture that would further contribute to the growth of the market.

Research Methodology

The market study of the global AI in agriculture market is incorporated by extensive primary and secondary research conducted by the research team. Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior, and macro-economic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.

Secondary Sources Include:

  • Financial reports of companies involved in the market
  • Whitepapers, research-papers, and news blogs
  • Company websites and their product catalog

The report is intended for agriculture equipment manufacturers, AI software and solution providers, private equity firms, startup and new entrants, and government organizations provide sector for overall market analysis and competitive analysis. The report provides an in-depth analysis of the market size and growth opportunities. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions.

Market Segmentation:

  • 1. Global AI in agriculture Market Research and Analysis by Deployment Type
  • 2. Global AI in agriculture Market Research and Analysis by Application

The Report covers:

  • Comprehensive research methodology of the global AI in agriculture market.
  • This report also includes a detailed and extensive market overview with key analyst insights.
  • An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
  • Analysis of regional regulations and other government policies impacting the global AI in agriculture market.
  • Insights about market determinants which are stimulating the global AI in agriculture market.
  • Detailed and extensive market segments with regional distribution of forecasted revenues.
  • Extensive profiles and recent developments of market players.

Table of Contents

1. Report Summary

  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Geography
    • 1.2.3. By Stakeholders

2. Market Overview and Insights

  • 2.1. Scope of the report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion
  • 2.3. Rules & Regulations

3. Competitive Landscape

  • 3.1. Competitive Dashboard
  • 3.2. Key Strategy Analysis
  • 3.3. Key Company Analysis
    • 3.3.1. Cargill, Inc.
      • 3.3.1.1. Overview
      • 3.3.1.2. Financial Analysis
      • 3.3.1.3. Swot Analysis
      • 3.3.1.4. Recent Developments
    • 3.3.2. Deere & Co.
      • 3.3.2.1. Overview
      • 3.3.2.2. Financial Analysis
      • 3.3.2.3. Swot Analysis
      • 3.3.2.4. Recent Developments
    • 3.3.3. IBM Corp.
      • 3.3.3.1. Overview
      • 3.3.3.2. Financial Analysis
      • 3.3.3.3. Swot Analysis
      • 3.3.3.4. Recent Developments
    • 3.3.4. AgEagle Aerial Systems, Inc.
      • 3.3.4.1. Overview
      • 3.3.4.2. Financial Analysis
      • 3.3.4.3. Swot Analysis
      • 3.3.4.4. Recent Developments
    • 3.3.5. Microsoft Corp.
      • 3.3.5.1. Overview
      • 3.3.5.2. Financial Analysis
      • 3.3.5.3. Swot Analysis
      • 3.3.5.4. Recent Developments

4. Market Determinants

  • 4.1. Motivators
  • 4.2. Restraints
  • 4.3. Opportunities

5. Market Segmentation

  • 5.1. Global AI in agriculture Market by Deployment
    • 5.1.1. Cloud-Based
    • 5.1.2. On-Premise
  • 5.2. Global AI in agriculture Market by Application
    • 5.2.1. Precision Farming
    • 5.2.2. Agriculture Robots
    • 5.2.3. Livestock Monitoring
    • 5.2.4. Others(Smart Green House and Soil management)

6. Regional Analysis

  • 6.1. North America
    • 6.1.1. United States
    • 6.1.2. Canada
  • 6.2. Europe
    • 6.2.1. UK
    • 6.2.2. Germany
    • 6.2.3. Italy
    • 6.2.4. Spain
    • 6.2.5. France
    • 6.2.6. Rest of Europe
  • 6.3. Asia-Pacific
    • 6.3.1. China
    • 6.3.2. India
    • 6.3.3. Japan
    • 6.3.4. Rest of Asia-Pacific
  • 6.4. Rest of the World

7. Company Profiles

  • 7.1. A.A.A Taranis Visual Ltd.
  • 7.2. AgEagle Aerial Systems, Inc.
  • 7.3. Autonomous Tractor Corp.
  • 7.4. aWhere
  • 7.5. Cainthus
  • 7.6. Cargill Inc.
  • 7.7. Connecterra B.V.
  • 7.8. CropX Ltd.
  • 7.9. Deere & Co.
  • 7.10. Descartes Labs, Inc.
  • 7.11. Easytosee Agtech, S.L
  • 7.12. Gamaya
  • 7.13. Granular, Inc.
  • 7.14. Harvest Croo, LLC
  • 7.15. IBM Corp.
  • 7.16. Intel Corp.
  • 7.17. Microsoft Corp.
  • 7.18. PrecisionHawk, Inc.
  • 7.19. Tule Technologies Inc.
  • 7.20. VineView SAI, Inc.
  • 7.21. Vision Robotics Corp.
Back to Top
전화 문의
F A Q