The market is segmented by technology into machine learning, computer vision, and predictive analytics, out of which, the machine learning segment is anticipated to hold the largest share in the global artificial intelligence in agriculture market. This can be accounted to the rising adoption of machine learning-enabled solutions by agricultural organizations and farmers around the world for enhancing their farm productivity and gaining a competitive edge in business operations. Additionally, on the basis of offering, the software segment is predicted to acquire the most significant share during the forecast period, which can be credited to the growing usage of AI software to increase farm efficiency, and high integration of mobile technologies with farming techniques. Apart from these, intensifying demand for real-time data management systems is also assessed to boost the growth of the market segment in the imminent time.
Our in-depth analysis of the global market includes the following segments:
By Technology |
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By Deployment |
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By Offering |
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By Application |
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Author Credits: Nilanjana Ray
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