Artificial Intelligence (AI) having applications in several sectors including agriculture has completely transformed the methods of the agriculture market. AI in Agriculture assist the farmers in examining weather, soil, and field data to improve farming operations and crop productivity. Artificial Intelligence in Agriculture market seems to be driven by the Internet of Things (IoT) due to its ability to revolutionize and transform current farming methods to a new level.
Global Artificial Intelligence in Agriculture Market is expected to grow at a CAGR of +21% during the forecast period 2019-2025
Growing consumption and rising requirement of better yield of crops are estimated to be one of the major factors that is driving the demand of robots in agriculture. Increasing consumption motivates farmers to scale up farming operations and give rise to the requirement of automating farming operations. Since Artificial Intelligence is the backbone of robotics, growing adoption of robots in agriculture is projected to drive the Artificial Intelligence in agriculture market growth.
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Global Artificial Intelligence in Agriculture Market Report consists of a detailed description and analysis based on the various types of products available in the market and also has the different end users. The report includes the numerous drivers as well the factors impeding the growth of this market during the forecast period. The report, delivers the opportunities in the market and their significant impact on the major players dominating the market.
Top Market Players in the Market:
IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Mavrx, aWhere, Precision Hawk, Granular, Prospera Technologies, Spensa Technologies, Resson, Vision Robotics, Harvest Croo Robotics, CropX, John Deere, Gamaya, Cainthus
The Report provide detailed analysis of the market structure along with forecast for the next 05 years of the various segments and sub-segments of the Global Artificial Intelligence in Agriculture Market. Across the globe, several regions such as North America, Asia-Pacific, Latin America, Africa, and Europe have been analyzed on the basis of business verticals like drivers, restraints and futuristic opportunities.
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This report offers an effective business outlook, different case studies from various top-level industry experts, business owners, and policymakers have been included to get a clear vision about business methodologies to the readers. SWOT and Porter’s Five model have been used for analyzing the Artificial Intelligence in Agriculture market on the basis of strengths, challenges and global opportunities in front of the businesses.
– The Artificial Intelligence in Agriculture market report offers a detailed analysis on current and future market trends to find the investment opportunities
– Market forecasts till 2025, using projected market values as the base numbers
– Significant market trends across the business segments, Regions and Countries
– Major developments and strategies observed in the Artificial Intelligence in Agriculture market
– Market Dynamics for example Drivers, Restraints, Opportunities and other trends
– complete company profiles of key players and upcoming prominent players
– Growth prospects among the developing nations through 2025
– Market opportunities and recommendations for new investments
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