Insights on Global Artificial Intelligence (AI) in Agriculture Market Reveals Tremendous Surge at a CAGR of 20.75% through 2025

In the present time, there are incredible opportunities for artificial intelligence (AI) in agriculture. To elaborate further, Market Research Hub (MRH) has publicized a new research study titled “Global Artificial Intelligence (AI) in Agriculture Market 2018 Industry Analysis, Size, Share, Growth, Trends and Forecast by 2025” to its wide repository. The extensive research report includes market projections for a period of eight years at a regional as well as a global level. The report covers an unbiased analysis on various market aspects, emphasizing major trends giving direction to the market, key opportunities paving new growth avenues, key drivers pushing the market’s growth as well as challenges that can hinder market growth.

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It has been analyzed that the agriculture sector is progressively looking at ways to leverage technology for better crop yield. The implementation of Artificial Intelligence (AI) is one of the best application for the industry, as it helps to enhance food production while adding value to the entire farm-to-fork supply chain and helping it make use of natural resources more efficiently. As per the study key valuations, the Global Artificial Intelligence in Agriculture market size was 242.98 million USD in 2017 and it will be 1098.51 million USD in 2025, with an outstanding CAGR of 20.75% from 2017 to 2025.

For a better understanding, the research study has segmented into several key regions, with artificial intelligence in agriculture revenue, market share (%) and growth rate (%). Prime regions highlighted in the study include China, Asia-Pacific, North America, Europe and ROW. Amongst, analysts found that the North America Artificial Intelligence in Agriculture will grow exponentially with value of 352.69 million USD in 2025, with a CAGR of 16.44% from 2017 to 2025.

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Apart from the above element, the market has been broadly categorized on the basis of product type into machine learning, computer vision and predictive analytics. Moreover, it covers major end-users which include precision farming, agriculture robots, livestock monitoring, drone analytics and others. It has been analyzed that the use of robots in agriculture and dairy farms provides several advantages including the enhancement of operational control in farms and reliability. AI in agriculture has unlocked the power of precision farming. The idea behind precision farming is the objective to produce more output with less input.

The concluding section of the report discusses the active major players in the global market. At present, The Climate Corporation, Prospera Technologies, John Deere, Cainthus, IBM, Mavrx, Harvest Croo Robotics, Vision Robotics, Microsoft, CropX, Spensa Technologies, Agribotix, Gamaya, SAP, aWhere, Resson, Precision Hawk, Granular and Intel are the participants which have been examined through this study.

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This release was published on openPR.