Artificial Intelligence in Agriculture Market Overview
The global artificial intelligence in agriculture market is estimated to reach $4,096.1 million in 2027, reveals the premium market intelligence study. The study also highlights that the market is set to witness a CAGR of 21.98% during the forecast period 2022-2027.
AI in agriculture farming techniques is widely accepted worldwide because of the various benefits these techniques offer over conventional farming. With these techniques, the worldwide issue of food safety and security is being addressed. The fruits and vegetables produced through these techniques are monitored and developed in a controlled manner to achieve an optimal growing environment. With AI in agriculture production, global food production is increasing, which is important to feed the growing population as it is expected to reach 9.73 billion by 2050.
USP of the Report
• Extensive competitive benchmarking of the top 15 players, including Alibaba Group Holding Limited, Aquabyte, DJI, Granular Inc. IBM Corporation, Microsoft Corporation, and others to offer a holistic view of the artificial intelligence in agriculture market landscape
• Market ranking analysis based on product portfolio, recent developments, and regional spread
• Investment landscape, including product adoption scenario, funding, and patent analysis
Analyst Perspective
According to Debraj Chakraborty, Lead Analyst of the report, “The agriculture industry is poised to benefit greatly from the adoption of AI technologies. AI can be used to analyze large amounts of data, such as weather patterns, soil conditions, and crop yields, to make predictions and optimize crop growth. This can help farmers to increase yields, reduce waste, and improve efficiency.”
Key Companies Operating in The Market
Key players in the artificial intelligence in agriculture market analyzed and profiled in the study involve artificial intelligence in agriculture manufacturers. Moreover, a detailed competitive benchmarking of the players operating in the artificial intelligence in agriculture market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
The key players profiled in the report include Alibaba Group Holding Limited, Aquabyte,Ceres Imaging, Climate LLC , CNH Industrial N.V., Connecterra B.V., CropIn Technology Solutions, Deere & Company, DJI, Granular Inc., IBM Corporation, Microsoft Corporation, PrecisionHawk, Inc., Plantix, XPERTSEA, Agrible, Prospera Technologies, Taranis, UMITRON, and Wolkus Technology Solutions Private Limited (Fasal).
Key Questions Answered in the Report/h3>
• What is the estimated global artificial intelligence in agriculture market size in terms of revenue for the forecast period 2022-2027, and what is the expected compound annual growth rate (CAGR) during the forecast period 2022-2027?
• What are the key trends, market drivers, and opportunities in the market pertaining to artificial intelligence in agriculture?
• What are the major restraints inhibiting the growth of the global artificial intelligence in agriculture market?
• What kinds of new strategies are being adopted by the existing market players to expand their market position in the industry?
• What is the competitive strength of the key players in the artificial intelligence in agriculture market based on an analysis of their recent developments, product offerings, and regional presence?
• How is the competitive benchmarking of the key artificial intelligence in agriculture companies in the agriculture market based on the analysis of their market coverage and market potential?
• Which type of players and stakeholders are operating in the market ecosystem of artificial intelligence in agriculture, and what is their significance in the global market?
• Which are the leading consortiums and associations in the global artificial intelligence in agriculture market, and what are their roles in the market? How does the regulatory landscape differ in different regions for artificial intelligence in agriculture?
• How are emerging technologies such as the Internet of Things (IoT), 5G communication, and blockchain driving the growth of the artificial intelligence in agriculture market?
• Which are the major patents filled in the space?
• How is the role of government regarding environmental issues and safety changing the landscape of the artificial intelligence in agriculture industry?
• What has been the impact of the Ukraine-Russia crisis on the artificial intelligence in agriculture market?
Get the full report:
Artificial Intelligence in Agriculture Market Research Report
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