Artificial Intelligence in agriculture market is segmented into machine learning, computer vision, and predictive analytics. Machine learning technology is expected to drive the AI in agriculture market during the forecast period in the technology segment. This is attributed to increase in adoption of advanced innovative technology in agriculture industry by farmers. Additionally, embracing machine learning technology by farmers across the globe are projected to propel the market growth in this segment.
Artificial intelligence in agriculture market was valued at USD 509.06 million in 2017 and expected to grow at CAGR 19.9% over the forecast period 2019–2026.
AI in agriculture has become integral part of farming practices as it is improving quality production of crops. It accumulates comprehensive information and research methodologies. Market experts have created this study on the results obtained by applying several analytical tools like investment feasibility and investment return analysis on the worldwide marketplace for AI in Agriculture Sales so as to work out the attractiveness of this market.
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The Major Players Covered in this Report: Thermo Fisher Scientific Inc. (U.S.), GAMAYA (Switzerland), PrecisionHawk (U.S.), Cainthus Ireland Limited (Ireland), VineView (U.S.), Easytosee Agtech, S.L. (Spain), Vision Robotics Corporation (U.S.), Trace Genomics, Inc. (U.S.), RESSON (Canada), Connecterra (Netherlands), Harvest Croo (U.S.).& More.
Artificial Intelligence in agriculture is expected to witness significant growth during the forecast period, 2019—2026. This is attributed growing adoption of information management systems, and new technologies for improving crop productivity using deep learning techniques has resulted to drive the growth of the AI in agriculture market. These essential insights assist the decision-makers in formulating better business plans and make informed decisions for improved profitability. Moreover, the analysis helps venture capitalists in understanding the businesses with a far better perspective and make aware decisions.
By Component, Solution, Hardware, Software, Others, Services, Managed, Professional
By Technology, Machine Learning, Computer Vision, Predictive Analytics
By Application, Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others
Years that have been considered for the study of this report are as follows:
- History Year: 2015-2019
- Base Year: 2019
- Estimated Year: 2020
- Forecast Year: 2019 to 2026
The report is a valued asset for the active players, new participants, and future investors, and provides a comprehensive assessment across regions such as:
Growing Domestic Demand and Expanding Pharmaceutical Sector to Drive the Demand for AI in Agriculture in the APAC Region
Asia-Pacific region is anticipated to hold the largest market share in the global AI in Agriculture market during the forecast period 2017-2026. The growth in this region can be attributed to the presence of emerging economies like India, China, Japan, Vietnam, and Indonesia, which account for the largest share in this region. India is one of the largest producers of AI in Agriculture and a major exporter of the product to various countries across the globe. India accounts for around 80% of the world’s exports of AI in Agriculture. The favorable climatic conditions and growth of agricultural inputs and allied services like cold storage and warehousing in India are prompting higher production.
- Artificial Intelligence software and solution providers
- Artificial intelligence technology providers
- AI system integrators
- Research Institutes
- Potential Investors
- Government organizations
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Our report covers the artificial intelligence in agriculture market insights, focusing on recent developments in the market in different regions and development strategies of the companies. Moreover, following sections are specifically covered in the report.
- Competitor Analysis
- Market concentration of top five players
- Analysis of artificial intelligence in agriculture market by regions
- Potential Ventures
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