A new research document is added in HTF MI database of 116 pages, titled as ‘Global Agricultural AI Market Insights by Application, Product Type, Competitive Landscape & Regional Forecast 2025’ with detailed analysis, Competitive landscape, forecast and strategies. The study covers geographic analysis that includes regions like North America, Europe or Asia and important players/vendors such as are IBM (United States) , 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). The report will help you gain market insights, future trends and growth prospects for forecast period of 2025.
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Summary
AI in agriculture market is expected to grow at a CAGR of 22.5% to reach USD 2,628.5 Million by 2025 from USD 518.7 Million in 2018.
Market Overview: Agricultural AI refers to use artificial intelligence in Agriculture. Agricultural AI help to predict analysis. Fuelling Demand artificial intelligence technology such as Cattle Face Recognition Technology, precision agricultural, drone analytics, agriculture robots, and livestock observing will help to boost global agriculture AI market. Some of the key players profiled in the study are IBM (United States) , 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).
Market Dynamics
Market Trend
• Adoption of Advanced Robotic Technology
• Introduction of IOT Based Technology
Market Drivers
• Rising Demand of Cattle Face Recognition Technology
• Increasing Dependency on Machine Learning Based Technology
Opportunities
• Huge Opportunity In Untapped Market In Emerging Countries
Target Audience
Agricultural AI Manufactures, Agricultural AI Suppliers, Technology Investors, Private Research Organizations and Consulting Companies. , Government Research Institutes and Others
The following are the major objectives of the study
• To define, describe, and forecast the Global Agricultural AI market on the basis of product [Machine Learning , Computer Vision and Predictive Analytics] , application [Precision Farming , Livestock Monitoring , Drone Analytics , Agriculture Robots and Others], key regions and end user
• To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
• To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
• Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
• To provide market size for various segments of the Agricultural AI market with respect to major geographies, namely, 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)
• To strategically profile the key players and analysing their market shares and core competencies in the Agricultural AI industry
• To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market
While framing the research framework, major and emerging players operating in the Agricultural AI market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.
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Table of Contents
1 Market Overview
1.1 Agricultural AI Introduction
1.2 Market Analysis by Type
1.3 Market Analysis by Applications
1.4 Market Analysis by Regions
1.4.1 North America (United States, Canada and Mexico)
1.4.1.1 United States Market States and Outlook (2013-2023)
1.4.1.2 Canada Market States and Outlook (2013-2023)
1.4.1.3 Mexico Market States and Outlook (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy)
1.4.2.1 Germany Market States and Outlook (2013-2023)
1.4.2.2 France Market States and Outlook (2013-2023)
1.4.2.3 UK Market States and Outlook (2013-2023)
1.4.2.4 Russia Market States and Outlook (2013-2023)
1.4.2.5 Italy Market States and Outlook (2013-2023)
….Continued
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It’s vital you keep your market knowledge up to date. If you have a different set of players/manufacturers according to geography or needs regional or country segmented reports we can provide customization accordingly.
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