(MENAFN Editorial) iCrowdNewswire - Dec 19, 2017
Artificial Intelligence (AI) in Agriculture Market Global Industry Report 2017 is a professional and in-depth study on the current state of the Artificial Intelligence in Agriculture Market insight. Report provides market size, share, growth, trend, supplier, top player, manufacturer, demand, outlook, opportunities, competitors, production, revenue analysis forecast to 2025 from 2017. Artificial Intelligence In Agriculture Companies Profiled In Report: IBM (US), John Deere (US), Microsoft (US), Agribotix (US), The Climate Corporation (US), ec2ce (Spain), Descartes Labs (US), Sky Squirrel Technologies (Canada), Mavrx (US), aWhere (US), Gamaya (Switzerland), Precision Hawk (US), Granular (US), Prospera (Israel), Cainthus (US), and Spensa Technologies (US).
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Growing demand for agricultural production owing to the increasing population, rising adoption of information management systems and new, advanced technologies for improving crop productivity, increasing crop productivity by implementing deep learning techniques, and growing initiatives by worldwide governments supporting the adoption of modern agricultural techniques. The high cost of gathering precise field data is a major factor restraining the growth of the AI in agriculture market.
The target audience for the report includes:
'AI in agriculture market for computer vision technology estimated to grow at the highest CAGR during the forecast period
The market for computer vision is expected to grow at the highest CAGR during the forecast period. The increasing use of computer vision technology for agriculture applications, such as plant image recognition, and the rising demand for continuous monitoring and analyzing crop health are the major factors contributing to the growth of the market for AI solutions based on computer vision technology.
'Market for drone analytics applications expected to grow at the highest CAGR during the forecast period
The market for drone analytics is expected to grow at the highest CAGR during the forecast period owing to its extensive use in diagnosing and mapping crop health and making real-time decisions. Further, favorable government mandates for using drones in agriculture field are expected to fuel the growth of the AI in agriculture market for the drone analytics application.
'AI in agriculture market in Asia Pacific expected to grow at the highest CAGR during the forecast period
The increasing adoption of deep learning and computer vision technologies for agricultural applications is a major driving factor for the market growth in the APAC region. Further, the increasing awareness among growers regarding benefits associated with artificial intelligence technologies, such as computer vision, machine learning, and deep learning, for various farming applications is also a major factor contributing toward the growth of the AI in agriculture market in this region.
Inquire more on Artificial Intelligence (AI) in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering, Application (Precision Farming, Drone Analytics, Agriculture Robots, and Livestock Monitoring), Offering, and Geography - Global Forecast to 2025 @
Artificial Intelligence in Agriculture Market OverviewArtificial Intelligence in Agriculture market, by Application:
Artificial Intelligence In Agriculture market, by Technology:
Artificial Intelligence In Agriculture market, by Offering:
Artificial Intelligence In Agriculture market, by Region:
The break-up of primary participants for the report has been shown below:
This report covers the AI in agriculture market based on offering, technology, application, and region. The AI in agriculture market based on offering has been segmented into hardware, software, AI-as-a-Service, and Service. Based on applications, the AI in agriculture market has been segmented into precision farming, livestock monitoring, drone analytics, agriculture robots, and others. On the basis technology, the AI in agriculture market has been classified into machine learning, computer vision, and predictive analytics. On the basis of region, the market has been segmented into the Americas, Europe, Asia Pacific (APAC), and RoW.
This report segments the Artificial Intelligence in Agriculture market comprehensively and provides the closest market size estimation for sub segments across different regions. The report would help stakeholders understand the pulse of the market and provide them with information on key drivers, restraints, challenges, and opportunities for market growth. This report would help stakeholders understand their competitors better and gain more insights to improve their position in the business. The competitive landscape section includes the information on the competitor's ecosystem, product launches, acquisitions, partnerships, agreements, contracts, and collaborations.
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