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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 2021, the global AI in Agriculture market size will be US$ 779.7 million and it is expected to reach US$ 1606 million by the end of 2027, with a CAGR of 12.8% during 2021-2027.
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 North America, Europe, Japan, China, Southeast Asia, India, etc.
Global AI in Agriculture Scope and Market Size
AI in Agriculture market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global AI in Agriculture market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.
Segment by Type
Machine Learning
Computer Vision
Predictive Analytics
Segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
By Region
North America
Europe
Japan
China
Southeast Asia
India
By Company
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies
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 2021, the global AI in Agriculture market size will be US$ 779.7 million and it is expected to reach US$ 1606 million by the end of 2027, with a CAGR of 12.8% during 2021-2027.
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 North America, Europe, Japan, China, Southeast Asia, India, etc.
Global AI in Agriculture Scope and Market Size
AI in Agriculture market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global AI in Agriculture market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.
Segment by Type
Machine Learning
Computer Vision
Predictive Analytics
Segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
By Region
North America
Europe
Japan
China
Southeast Asia
India
By Company
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
