On the basis of geographical analysis, the global artificial intelligence in agriculture market is segmented into five major regions including North America, Europe, Asia Pacific, Latin America and the Middle East & Africa region. The market in the Asia Pacific industry is anticipated to account for largest revenue share by 2036, propelled by growing adoption rate of AI in agriculture in countries such as India, China, Japan and Australia, and entry of major companies in agricultural solutions business in the region. In addition, growing investments by multinational companies to spread awareness regarding farm analytics and data sciences among farmers is also predicted to boost the region’s market growth in the upcoming years. Moreover, the market in North America is anticipated to gather the largest share during the forecast period owing to the early adoption of technologies such as machine learning and IoT, and rising usage of computer vision for agricultural applications, such as livestock management, precision farming and soil management. In 2021, almost 80 percent of the total number of companies in North America have adopted machine learning technology. More than 4 percent of self-reported data scientists or data researchers in the US specifically work as machine learning engineers.
Author Credits: Nilanjana Ray
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