AI in Agriculture Market Definition
Agricultural AI refers to the use artificial intelligence in Agriculture. Agricultural AI helps to predict analysis. Fueling Demand artificial intelligence techniques such as Cattle Face Recognition Technology, precision agricultural, drone analytics, agriculture robots, and livestock observing will help to boost the global agriculture AI market.
The market study is broken down, by Application (Precision Farming , Livestock Monitoring , Drone Analytics , Agriculture Robots , Other Applications and By) and major geographies with country level splits. According to AMA, the Global AI in Agriculture market is expected to see growth rate of 22.34%
Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global AI in Agriculture market throughout the predicted period.
IBM (United States), John Deere Company (United States), Intel (United States), Google (United States), Microsoft (United States), NVIDIA Corporation (United States), Sentient Technologies (United States), Numenta Inc. (United States), Agribotix (United States) and The Climate Corporation (Subsidiary of Monsanto) (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Granular (United States), Descartes Labs (United States), Prospera (Israel), Mavrx (United States), Awhere (United States), Gamaya (Switzerland), Ec2ce (Spain), Precision Hawk (United States) and Cainthus (Ireland).
AdvanceMarketAnalytics has segmented the market of Global AI in Agriculture market by Type, Application and Region.
On the basis of geography, the market of AI in Agriculture has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). North America region held largest market share in the year 2018. Europe on the other hand stood as second largest market due to the presence of key companies into the region and high technological advancement. If we see Market by Technology, the sub-segment i.e. Machine Learning will boost the AI in Agriculture market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Offerings, the sub-segment i.e. Hardware will boost the AI in Agriculture market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
Market Leaders and their expansionary development strategies
Initially, the Global agriculture AI market was showing strategic Monopoly due to the existence of some major players such as are Intel Corporation, Google Inc., International Business Machines Corporation, NVIDIA Corporation, Sentient Technologies, Numenta Inc., and Microsoft Corporation. However to gain market share in upcoming year manufacturers have shifted their preferences towards up gradation in old products and Newly advanced product launches.
24th September 2018, IBM Watson and The Weather Company are together for planned and manufactured a suite of agribusiness solutions. Which will help the agriculture industry with AI to make more knowledgeable results about their yields.
- Adoption of Advanced Robotic Technology
- Introduction of IOT based technology
- Rising Demand of Cattle Face Recognition Technology
- Increasing Dependency on Machine Learning Based Technology
- Growing Demand of Agriculture Production
- Huge Opportunity In Untapped Market In Emerging Countries
- High Cost of AI Technology
- Lack of Understanding
Key Target AudienceAgricultural AI Manufactures, Agricultural AI Suppliers, Technology Investors, Private Research Organizations and Consulting Companies., Government Research Institutes and Others
About ApproachThe research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.
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