Global AI in Agriculture Market is expected to grow at a CAGR of over 22% between 2022-2027. The major factors driving the growth of market includes the growing demand for agricultural production owing to the rising adoption of information management systems, increasing population and technological advancements for increasing crop productivity. Furthermore, the combination of the IoT and AI technology like predictive analytics and machine learning allow farmers to analyse real-time data of temperature, weather circumstances and plant well-being.
Based on the region, the AI in agriculture market is segmented into North America, Europe & CIS, APAC, MEA and South America. The AI in agriculture market in Asia Pacific is estimated to grow at the highest CAGR during 2022-2027 owing to increasing adoption of deep learning and computer vision technologies for agricultural applications. Moreover, farmers globally, are increasingly adopting deep learning, machine learning and predictive analytics technologies which further drives the AI in Agriculture Market globally.
Some of the leading players in the global AI in Agriculture market are IBM, Granular, Microsoft, Deere & Company, Mavrx, Awhere, The Climate Corporation, Agribotix, Descartes Labs, Prospera etc.
· To analyse and forecast the market size of AI in Agriculture, in terms of value.
· To classify and forecast global AI in Agriculture based on technology, offering, application and regional distribution.
· To identify drivers and challenges for Global AI in Agriculture.
· To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in Global AI in Agriculture.
· To conduct the pricing analysis for AI in Agriculture.
· To identify and analyse the profile of leading players involved in the manufacturing of Global AI in Agriculture.
