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Global Agricultural AI Market Size, Status and Forecast 2019-2025

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Table of Contents

    1 Report Overview

    • 1.1 Study Scope
    • 1.2 Key Market Segments
    • 1.3 Players Covered
    • 1.4 Market Analysis by Type
      • 1.4.1 Global Agricultural AI Market Size Growth Rate by Type (2014-2025)
      • 1.4.2 Machine Learning
      • 1.4.3 Computer Vision
      • 1.4.4 Predictive Analytics
    • 1.5 Market by Application
      • 1.5.1 Global Agricultural AI Market Share by Application (2014-2025)
      • 1.5.2 Precision Farming
      • 1.5.3 Livestock Monitoring
      • 1.5.4 Drone Analytics
      • 1.5.5 Agriculture Robots
      • 1.5.6 Others
    • 1.6 Study Objectives
    • 1.7 Years Considered

    2 Global Growth Trends

    • 2.1 Agricultural AI Market Size
    • 2.2 Agricultural AI Growth Trends by Regions
      • 2.2.1 Agricultural AI Market Size by Regions (2014-2025)
      • 2.2.2 Agricultural AI Market Share by Regions (2014-2019)
    • 2.3 Industry Trends
      • 2.3.1 Market Top Trends
      • 2.3.2 Market Drivers
      • 2.3.3 Market Opportunities

    3 Market Share by Key Players

    • 3.1 Agricultural AI Market Size by Manufacturers
      • 3.1.1 Global Agricultural AI Revenue by Manufacturers (2014-2019)
      • 3.1.2 Global Agricultural AI Revenue Market Share by Manufacturers (2014-2019)
      • 3.1.3 Global Agricultural AI Market Concentration Ratio (CR5 and HHI)
    • 3.2 Agricultural AI Key Players Head office and Area Served
    • 3.3 Key Players Agricultural AI Product/Solution/Service
    • 3.4 Date of Enter into Agricultural AI Market
    • 3.5 Mergers & Acquisitions, Expansion Plans

    4 Breakdown Data by Type and Application

    • 4.1 Global Agricultural AI Market Size by Type (2014-2019)
    • 4.2 Global Agricultural AI Market Size by Application (2014-2019)

    5 United States

    • 5.1 United States Agricultural AI Market Size (2014-2019)
    • 5.2 Agricultural AI Key Players in United States
    • 5.3 United States Agricultural AI Market Size by Type
    • 5.4 United States Agricultural AI Market Size by Application

    6 Europe

    • 6.1 Europe Agricultural AI Market Size (2014-2019)
    • 6.2 Agricultural AI Key Players in Europe
    • 6.3 Europe Agricultural AI Market Size by Type
    • 6.4 Europe Agricultural AI Market Size by Application

    7 China

    • 7.1 China Agricultural AI Market Size (2014-2019)
    • 7.2 Agricultural AI Key Players in China
    • 7.3 China Agricultural AI Market Size by Type
    • 7.4 China Agricultural AI Market Size by Application

    8 Japan

    • 8.1 Japan Agricultural AI Market Size (2014-2019)
    • 8.2 Agricultural AI Key Players in Japan
    • 8.3 Japan Agricultural AI Market Size by Type
    • 8.4 Japan Agricultural AI Market Size by Application

    9 Southeast Asia

    • 9.1 Southeast Asia Agricultural AI Market Size (2014-2019)
    • 9.2 Agricultural AI Key Players in Southeast Asia
    • 9.3 Southeast Asia Agricultural AI Market Size by Type
    • 9.4 Southeast Asia Agricultural AI Market Size by Application

    10 India

    • 10.1 India Agricultural AI Market Size (2014-2019)
    • 10.2 Agricultural AI Key Players in India
    • 10.3 India Agricultural AI Market Size by Type
    • 10.4 India Agricultural AI Market Size by Application

    11 Central & South America

    • 11.1 Central & South America Agricultural AI Market Size (2014-2019)
    • 11.2 Agricultural AI Key Players in Central & South America
    • 11.3 Central & South America Agricultural AI Market Size by Type
    • 11.4 Central & South America Agricultural AI Market Size by Application

    12 International Players Profiles

    • 12.1 IBM
      • 12.1.1 IBM Company Details
      • 12.1.2 Company Description and Business Overview
      • 12.1.3 Agricultural AI Introduction
      • 12.1.4 IBM Revenue in Agricultural AI Business (2014-2019)
      • 12.1.5 IBM Recent Development
    • 12.2 Deere & Company
      • 12.2.1 Deere & Company Company Details
      • 12.2.2 Company Description and Business Overview
      • 12.2.3 Agricultural AI Introduction
      • 12.2.4 Deere & Company Revenue in Agricultural AI Business (2014-2019)
      • 12.2.5 Deere & Company Recent Development
    • 12.3 Microsoft
      • 12.3.1 Microsoft Company Details
      • 12.3.2 Company Description and Business Overview
      • 12.3.3 Agricultural AI Introduction
      • 12.3.4 Microsoft Revenue in Agricultural AI Business (2014-2019)
      • 12.3.5 Microsoft Recent Development
    • 12.4 Agribotix
      • 12.4.1 Agribotix Company Details
      • 12.4.2 Company Description and Business Overview
      • 12.4.3 Agricultural AI Introduction
      • 12.4.4 Agribotix Revenue in Agricultural AI Business (2014-2019)
      • 12.4.5 Agribotix Recent Development
    • 12.5 The Climate Corporation (Subsidiary of Monsanto)
      • 12.5.1 The Climate Corporation (Subsidiary of Monsanto) Company Details
      • 12.5.2 Company Description and Business Overview
      • 12.5.3 Agricultural AI Introduction
      • 12.5.4 The Climate Corporation (Subsidiary of Monsanto) Revenue in Agricultural AI Business (2014-2019)
      • 12.5.5 The Climate Corporation (Subsidiary of Monsanto) Recent Development
    • 12.6 Granular
      • 12.6.1 Granular Company Details
      • 12.6.2 Company Description and Business Overview
      • 12.6.3 Agricultural AI Introduction
      • 12.6.4 Granular Revenue in Agricultural AI Business (2014-2019)
      • 12.6.5 Granular Recent Development
    • 12.7 Descartes Labs
      • 12.7.1 Descartes Labs Company Details
      • 12.7.2 Company Description and Business Overview
      • 12.7.3 Agricultural AI Introduction
      • 12.7.4 Descartes Labs Revenue in Agricultural AI Business (2014-2019)
      • 12.7.5 Descartes Labs Recent Development
    • 12.8 Prospera
      • 12.8.1 Prospera Company Details
      • 12.8.2 Company Description and Business Overview
      • 12.8.3 Agricultural AI Introduction
      • 12.8.4 Prospera Revenue in Agricultural AI Business (2014-2019)
      • 12.8.5 Prospera Recent Development
    • 12.9 Mavrx
      • 12.9.1 Mavrx Company Details
      • 12.9.2 Company Description and Business Overview
      • 12.9.3 Agricultural AI Introduction
      • 12.9.4 Mavrx Revenue in Agricultural AI Business (2014-2019)
      • 12.9.5 Mavrx Recent Development
    • 12.10 Awhere
      • 12.10.1 Awhere Company Details
      • 12.10.2 Company Description and Business Overview
      • 12.10.3 Agricultural AI Introduction
      • 12.10.4 Awhere Revenue in Agricultural AI Business (2014-2019)
      • 12.10.5 Awhere Recent Development
    • 12.11 Gamaya
    • 12.12 Ec2ce
    • 12.13 Precision Hawk
    • 12.14 Skysquirrel Technologies
    • 12.15 Cainthus

    13 Market Forecast 2019-2025

    • 13.1 Market Size Forecast by Regions
    • 13.2 United States
    • 13.3 Europe
    • 13.4 China
    • 13.5 Japan
    • 13.6 Southeast Asia
    • 13.7 India
    • 13.8 Central & South America
    • 13.9 Market Size Forecast by Product (2019-2025)
    • 13.10 Market Size Forecast by Application (2019-2025)

    14 Analyst's Viewpoints/Conclusions

      15 Appendix

      • 15.1 Research Methodology
        • 15.1.1 Methodology/Research Approach
          • 15.1.1.1 Research Programs/Design
          • 15.1.1.2 Market Size Estimation
          • 12.1.1.3 Market Breakdown and Data Triangulation
        • 15.1.2 Data Source
          • 15.1.2.1 Secondary Sources
          • 15.1.2.2 Primary Sources
      • 15.2 Disclaimer

      In 2018, the global Agricultural AI market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2019-2025.

      This report focuses on the global Agricultural AI status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Agricultural AI development in United States, Europe and China.

      The key players covered in this study
      IBM
      Deere & Company
      Microsoft
      Agribotix
      The Climate Corporation (Subsidiary of Monsanto)
      Granular
      Descartes Labs
      Prospera
      Mavrx
      Awhere
      Gamaya
      Ec2ce
      Precision Hawk
      Skysquirrel Technologies
      Cainthus

      Market segment by Type, the product can be split into
      Machine Learning
      Computer Vision
      Predictive Analytics

      Market segment by Application, split into
      Precision Farming
      Livestock Monitoring
      Drone Analytics
      Agriculture Robots
      Others

      Market segment by Regions/Countries, this report covers
      United States
      Europe
      China
      Japan
      Southeast Asia
      India
      Central & South America

      The study objectives of this report are:
      To analyze global Agricultural AI status, future forecast, growth opportunity, key market and key players.
      To present the Agricultural AI development in United States, Europe and China.
      To strategically profile the key players and comprehensively analyze their development plan and strategies.
      To define, describe and forecast the market by product type, market and key regions.

      In this study, the years considered to estimate the market size of Agricultural AI are as follows:
      History Year: 2014-2018
      Base Year: 2018
      Estimated Year: 2019
      Forecast Year 2019 to 2025
      For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

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