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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.
Market Analysis and Insights: Global AI in Agriculture Market
In 2019, the global AI in Agriculture market size was US$ 608.8 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.
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.
Segment by Type, the AI in Agriculture market is segmented into Machine Learning, Computer Vision, Predictive Analytics, etc.
Segment by Application, the AI in Agriculture market is segmented into Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others, etc.
Regional and Country-level Analysis
The AI in Agriculture market is analysed and market size information is provided by regions (countries).
The key regions covered in the AI in Agriculture market report are North America, Europe, China, Japan, Southeast Asia, India and Central & South America, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of revenue for the period 2015-2026.
AI in Agriculture market competitive landscape provides details and data information by vendors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on revenue (global and regional level) by player for the period 2015-2020. Details included are company description, major business, company total revenue and the revenue generated in AI in Agriculture business, the date to enter into the AI in Agriculture market, AI in Agriculture product introduction, recent developments, etc.
The major vendors include Ag Leader Technology, Trimble, John Deere, Iteris, AGCO, aWhere, Gamaya, Granular, Raven Industries, Prospera, Skysquirrel Technologies, etc.
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, China, Japan, Southeast Asia, India and Central & South America.
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies
Machine Learning
Computer Vision
Predictive Analytics
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
North America
Europe
China
Japan
Southeast Asia
India
Central & South America
To analyze global AI in Agriculture status, future forecast, growth opportunity, key market and key players.
To present the AI in Agriculture development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by 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: 2015-2019
2019
Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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
In 2019, the global AI in Agriculture market size was US$ 608.8 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.
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.
Segment by Type, the AI in Agriculture market is segmented into Machine Learning, Computer Vision, Predictive Analytics, etc.
Segment by Application, the AI in Agriculture market is segmented into Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others, etc.
Regional and Country-level Analysis
The AI in Agriculture market is analysed and market size information is provided by regions (countries).
The key regions covered in the AI in Agriculture market report are North America, Europe, China, Japan, Southeast Asia, India and Central & South America, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of revenue for the period 2015-2026.
Competitive Landscape
and AI in Agriculture Market Share AnalysisAI in Agriculture market competitive landscape provides details and data information by vendors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on revenue (global and regional level) by player for the period 2015-2020. Details included are company description, major business, company total revenue and the revenue generated in AI in Agriculture business, the date to enter into the AI in Agriculture market, AI in Agriculture product introduction, recent developments, etc.
The major vendors include Ag Leader Technology, Trimble, John Deere, Iteris, AGCO, aWhere, Gamaya, Granular, Raven Industries, Prospera, Skysquirrel Technologies, etc.
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, China, Japan, Southeast Asia, India and Central & South America.
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
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 North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by 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: 2015-2019
Base Year:
2019Estimated Year:
2020Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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.
