Global AI in Agriculture Market Size, Status and Forecast 2020-2026

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.

Market Analysis and Insights: Global AI in Agriculture Market
The global AI in Agriculture market size is projected to reach US$ 692.8 million by 2026, from US$ 608.8 million in 2020, at a CAGR of 12.8%% during 2021-2026.

Global AI in Agriculture Scope and Market Size
AI in Agriculture market is segmented 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 2015-2026.

The key players covered in this study

Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies

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

North America
Europe
China
Japan
Southeast Asia
India
Central & South America