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 2020, the global AI in Agriculture market size will be US$ 692.8 million and it is expected to reach US$ 1423.8 million by the end of 2026, with a CAGR of 12.8% during 2021-2026.
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
Segment by Application
Ag Leader Technology
Frequently Asked Questions
- By product type
- By End User/Applications
- By Technology
- By Region