The use of AI in agriculture is considerably lower in developing economies such as Brazil, India, and South Africa; in the coming years, developing countries are expected to provide enough opportunities for people in the AI in agricultural industry. However, with governments in these countries enhancing their support for the technological advancement to grow crops, Market participants should expect a significant increase in sales here.
The use of AI for smart greenhouse management, soil management, Fertilizer application, Seed treatment, Crop monitoring, Weed control, Groundwater recharge, Crop diversification,
And livestock tracking necessitates specialized software to regulate and operate the complex devices and instruments. On the basis of product form, software is expected to see the most rapid advancement in the AI in agriculture market in the coming years.
Farmers are increasingly embracing machine learning to boost their yield by integrating data technologies with advanced agricultural research science, making it the largest technology segment in the market in 2019.
The highest CAGR will be seen in Asia-Pacific (APAC) during the forecast era, as developing countries in the region, such as China, India, Thailand, and Indonesia, are rapidly integrating agricultural robots, drone analytics, and precision farming.
North America and Europe dominated the AI in agriculture market on a regional level in the year 2019, with a collective revenue share of about 70.0 percent.
The global AI in agriculture market is highly competitive, thanks to the involvement of numerous leading players such as Microsoft Corporation, IBM Corporation, Deere & Company, Bayer AG, Actionfi Technologies, Axldrone, A.A.A Taranis Visual Ltd., Raven Industries, AGCO Corporation, Trimble Inc., Ag Leader Technology, Gamaya SA, Google LLC, and Granular Inc.
The study reports suggested the market size for AI in Agriculture from 2020 to 2030.
For more information:
www.actionfi.com
www.axldrone.com
www.psmarketresearch.com
JINS CHERIAN