Edison, NJ -- (SBWIRE) -- 07/09/2021 -- Advance Market Analytics published a new research publication on "AI in Agriculture Market Insights, to 2026" with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the AI in Agriculture market was mainly driven by the increasing R&D spending across the world.
Some of the key players profiled in the study are:
IBM (United States), John 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), The Climate Corporation (Subsidiary of Monsanto) (United States).
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Scope of the Report of AI in Agriculture
Agricultural AI refers to the use artificial intelligence in Agriculture. Agricultural AI helps to predict analysis. Fueling Demand artificial intelligence techniques such as Cattle Face Recognition Technology, precision agricultural, drone analytics, agriculture robots, and livestock observing will help to boost the global agriculture AI market.
The titled segments and sub-section of the market are illuminated below:
by Application (Precision Farming , Livestock Monitoring , Drone Analytics , Agriculture Robots , Other Applications , By), Technology (Machine Learning, Computer Vision, Predictive Analytics), Offerings (Hardware, Software, AI-As-A-Service)
Market Trends:
Adoption of Advanced Robotic Technology
Introduction of IOT based technology
Opportunities:
Huge Opportunity In Untapped Market In Emerging Countries
Market Drivers:
Rising Demand of Cattle Face Recognition Technology
Increasing Dependency on Machine Learning Based Technology
Growing Demand of Agriculture Production
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.
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Strategic Points Covered in Table of Content of Global AI in Agriculture Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI in Agriculture market
Chapter 2: Exclusive Summary – the basic information of the AI in Agriculture Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the AI in Agriculture
Chapter 4: Presenting the AI in Agriculture Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020
Chapter 6: Evaluating the leading manufacturers of the AI in Agriculture market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2021-2026)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
finally, AI in Agriculture Market is a valuable source of guidance for individuals and companies.
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