The size of the AI in agriculture market was USD 1,254.6 million in 2022, and it will advance at a CAGR of 26.7% in the years to come, to reach USD 8,308.5 million by 2030, as per a market research company PS Intelligence.

The service category will experience the faster growth because of the increasing requirement for managed services by farmers for tracking the processes and activities of sensors and managing large data sets associated with crop health.

The product category dominates the industry because of the surging necessity for software to control and guide the devices fitted in an agronomical environment for performing numerous advanced cultivation practices.

The machine learning category has the largest share, of about 60%. This is because of the growing acceptance of this technology by organizations and farmers for enhancing crop productivity with a combination of agronomical sciences and data technologies. It will hold the same position in the years to come, because of its rising usage in agricultural applications, including crop and field management.

Furthermore, ML has been extensively deployed in Europe and North America because of its high acceptance in agricultural robots and precision farming.

Moreover, precision farming had the largest share, of around 35%, in 2022. This is because of the growing requirement for an optimal yield with limited resources and reduced cost of crop production. Similarly, the rapidly increasing use of IoT in the agriculture sector is driving the precision farming industry.

North America leads the AI in agriculture market, and it will hold the position in the near future, with a value of about USD 4 billion. This is attributed to the high acceptance of innovative technologies in the farming industry for maximum productivity. Moreover, the players are offering services to regional consumers, in partnerships with other players.

Advanced technologies, such as IoT and ML, in combination with computer vision, is being used for numerous agronomic applications, including precision farming, livestock management, greenhouse management, and soil management.

APAC will have the fastest growth in the years to come. This has a lot to do with the increasing acceptance of smart farming techniques, including agronomic robots, drone analytics, and precision farming. In APAC, China is the major contributor because of the quick acceptance of advanced techniques in its enormous agricultural sector.

The increasing usage of robots in agriculture is a main trend. With the growing implementation of modern technology in agriculture, farming practices are increasingly becoming sophisticated. Additionally, with the increasing global population, lack of obtainability of farm workers, and automation in the agriculture sector, there is an increase in the usage of agricultural robots all over the world.

It is because of the increasing penetration of IoT in farming sector that the demand for AI solutions in agriculture will increase all over the world.