
A new report titled, “Global AI in Agriculture Market Analysis, Size, Share, Forecast 2026” has been added by Straits Research in its repository of research reports. The report begins with the market summary, product specification, market size and share, value and volume, market segmentation, SWOT (strengths, weaknesses, opportunities, and threats), and key players.
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.
In addition, the report performs both primary and exhaustive secondary research to analyze the market thoroughly. The report offers data of previous years along with in-depth analysis on the basis of revenue (USD Billion).
The study gives a clear view of the Global AI in Agriculture Market and includes a detailed competitive scenario and thorough company profile of the key players operating in it. To get a clear idea of the competitive landscape in the market, the report conducts an analysis of Porter’s Five Forces Model, SWOT analysis, and Pestel analysis.
The report also provides a market attractiveness analysis, in which the segments and sub-segments are bench-marked on the basis of their market size, growth rate, and general attractiveness.
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Top Market Key Players:
Some of the prominent players in artificial intelligence in agriculture market are 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.).
Segmentation of AI in Agriculture Market:
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
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The report is expected to help leading pioneers and start-ups in the global AI in Agriculture market in the following ways:
- An in-depth analysis of the overall structure of the market along with the forecast of the various segments and sub-segments of the global AI in Agriculture market is provided in the report.
- The report on the global AI in Agriculture market categorizes the segments in detail and provides the closest and accurate approximations of the overall size of the market, as well as its segments and sub-segments.
- The report provides the historical and forecasts revenue of the market segments and their sub-segments with regards to regional distribution, including North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa.
- The report has been curated in such a way to help stakeholders understand the pulse of the market and provide them with key information about the driving factors, restraints, industry-related challenges, and lucrative opportunities.
- The main goal of this report is to help stakeholders in obtaining an in-depth understanding of their competitors and gaining key insights to strengthen their position in the AI in Agriculture market.
- The competitive scenario involves the competitor ecosystem of the market, as well as growth strategies like new product launches, development strategies, mergers & acquisitions (M&A), research and development (R&D) activities, partnerships and collaborations, and contracts and agreements.
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