Global AI in Agriculture Market Size, Status and Forecast 2019-2025
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
- 1.4.2 Machine Learning
- 1.4.3 Computer Vision
- 1.4.4 Predictive Analytics
- 1.5.1 Global AI in Agriculture Market Share by Application (2018-2025)
- 1.5.2 Precision Farming
- 1.5.3 Livestock Monitoring
- 1.5.4 Drone Analytics
- 1.5.5 Agriculture Robots
- 1.5.6 Others
2 Executive Summary
- 2.1 AI in Agriculture Market Size
- 2.2 AI in Agriculture Growth Trends by Regions
- 2.2.1 AI in Agriculture Market Size by Regions (2018-2025)
- 2.2.2 AI in Agriculture Market Share by Regions (2018-2025)
- 2.3 Industry Trends
- 2.3.1 Market Top Trends
- 2.3.2 Market Use Cases
3 Key Players
- 3.1 AI in Agriculture Revenue by Manufacturers (2018-2019)
- 3.2 AI in Agriculture Key Players Head office and Area Served
- 3.3 Key Players AI in Agriculture Product/Solution/Service
- 3.4 Date of Enter into AI in Agriculture Market
- 3.5 Key Players AI in Agriculture Funding/Investment Analysis
- 3.6 Global Key Players AI in Agriculture Valuation & Market Capitalization
- 3.7 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type and Application
- 4.1 Global AI in Agriculture Market Size by Type (2018-2025)
- 4.2 Global AI in Agriculture Market Size by Application (2017-2025)
5 United States
- 5.1 United States AI in Agriculture Market Size (2018-2025)
- 5.2 AI in Agriculture Key Players in United States
- 5.3 United States AI in Agriculture Market Size by Type
- 5.4 United States AI in Agriculture Market Size by Application
6 Europe
- 6.1 Europe AI in Agriculture Market Size (2018-2025)
- 6.2 AI in Agriculture Key Players in Europe
- 6.3 Europe AI in Agriculture Market Size by Type
- 6.4 Europe AI in Agriculture Market Size by Application
7 China
- 7.1 China AI in Agriculture Market Size (2018-2025)
- 7.2 AI in Agriculture Key Players in China
- 7.3 China AI in Agriculture Market Size by Type
- 7.4 China AI in Agriculture Market Size by Application
8 Rest of World
- 8.1 Japan
- 8.1.1 Japan AI in Agriculture Market Analysis
- 8.1.2 Key Players in
- 8.2 Southeast Asia
- 8.2.1 Southeast Asia AI in Agriculture Market Analysis
- 8.2.2 Key Players in Southeast Asia
- 8.3 India
- 8.3.1 India AI in Agriculture Market Analysis
- 8.3.2 Key Players in India
9 International Players Profiles
- 9.1 Ag Leader Technology
- 9.1.1 Ag Leader Technology Company Details
- 9.1.2 Company Description and Business Overview
- 9.1.3 AI in Agriculture Introduction
- 9.1.4 Ag Leader Technology Revenue in AI in Agriculture Business (2018-2019)
- 9.1.5 Ag Leader Technology Recent Development
- 9.2 Trimble
- 9.2.1 Trimble Company Details
- 9.2.2 Company Description and Business Overview
- 9.2.3 AI in Agriculture Introduction
- 9.2.4 Trimble Revenue in AI in Agriculture Business (2018-2019)
- 9.2.5 Trimble Recent Development
- 9.3 John Deere
- 9.3.1 John Deere Company Details
- 9.3.2 Company Description and Business Overview
- 9.3.3 AI in Agriculture Introduction
- 9.3.4 John Deere Revenue in AI in Agriculture Business (2018-2019)
- 9.3.5 John Deere Recent Development
- 9.4 Iteris
- 9.4.1 Iteris Company Details
- 9.4.2 Company Description and Business Overview
- 9.4.3 AI in Agriculture Introduction
- 9.4.4 Iteris Revenue in AI in Agriculture Business (2018-2019)
- 9.4.5 Iteris Recent Development
- 9.5 AGCO
- 9.5.1 AGCO Company Details
- 9.5.2 Company Description and Business Overview
- 9.5.3 AI in Agriculture Introduction
- 9.5.4 AGCO Revenue in AI in Agriculture Business (2017-2018)
- 9.5.5 AGCO Recent Development
- 9.6 aWhere
- 9.6.1 aWhere Company Details
- 9.6.2 Company Description and Business Overview
- 9.6.3 AI in Agriculture Introduction
- 9.6.4 aWhere Revenue in AI in Agriculture Business (2017-2018)
- 9.6.5 aWhere Recent Development
- 9.7 Gamaya
- 9.7.1 Gamaya Company Details
- 9.7.2 Company Description and Business Overview
- 9.7.3 AI in Agriculture Introduction
- 9.7.4 Gamaya Revenue in AI in Agriculture Business (2018-2019)
- 9.7.5 Gamaya Recent Development
- 9.8 Granular
- 9.8.1 Granular Company Details
- 9.8.2 Company Description and Business Overview
- 9.8.3 AI in Agriculture Introduction
- 9.8.4 Granular Revenue in AI in Agriculture Business (2018-2019)
- 9.8.5 Granular Recent Development
- 9.9 Raven Industries
- 9.9.1 Raven Industries Company Details
- 9.9.2 Company Description and Business Overview
- 9.9.3 AI in Agriculture Introduction
- 9.9.4 Raven Industries Revenue in AI in Agriculture Business (2018-2019)
- 9.9.5 Raven Industries Recent Development
- 9.10 Prospera
- 9.10.1 Prospera Company Details
- 9.10.2 Company Description and Business Overview
- 9.10.3 AI in Agriculture Introduction
- 9.10.4 Prospera Revenue in AI in Agriculture Business (2018-2019)
- 9.10.5 Prospera Recent Development
- 9.11 Skysquirrel Technologies
10 Market Dynamics
- 10.1 Drivers
- 10.2 Opportunities
- 10.3 Challenges
- 10.4 Market Ecosystem
- 10.5 Market Value Chain Analysis
11 Key Findings in This Report
12 Appendix
- 12.1 Research Methodology
- 12.1.1 Methodology/Research Approach
- 12.1.1.1 Research Programs/Design
- 12.1.1.2 Market Size Estimation
- 12.1.1.3 Market Breakdown and Data Triangulation
- 12.1.2 Data Source
- 12.1.2.1 Secondary Sources
- 12.1.2.2 Primary Sources
- 12.1.1 Methodology/Research Approach
- 12.2 Disclaimer
Artificial intelligence (AI) is a program that can adapt itself to execute tasks in real-time situations using cognitive processing as the human mind. As the program can analyze and adapt itself to real-time situations, it does not require constant supervision. In the agriculture industry, on the basis of application, AI technology has been segmented into robotics, crop and soil management, and animal husbandry.
Based on technology, the AI in agriculture market has been classified into machine learning, computer vision, and predictive analytics. Machine learning held the largest market size owing to the growing adoption of this technology for various applications of agriculture such as precision farming, drone analytics, agriculture robots, and livestock monitoring.
In 2018, the global AI in Agriculture market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global AI in Agriculture status, future forecast, growth opportunity, key market and key players. The study objectives are to present the AI in Agriculture development in United States, Europe and China.
The key players covered in this study
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies
Market analysis by product type
Machine Learning
Computer Vision
Predictive Analytics
Market analysis by market
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Market analysis by Region
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global AI in Agriculture status, future forecast, growth opportunity, key market and key players.
To present the AI in Agriculture 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 AI in Agriculture are as follows:
History Year: 2018-2019
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.