Latest released the research study on Global AI in Agriculture Market, offers a detailed overview of the factors influencing the global business scope. AI in Agriculture Market research report shows the latest market insights, current situation analysis with upcoming trends and breakdown of the products and services. The report provides key statistics on the market status, size, share, growth factors of the AI in Agriculture. The study covers emerging player’s data, including: competitive landscape, sales, revenue and global market share of top manufacturers 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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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.
COVID-19 has majorly affected the overall global businesses and it will take a huge time for the business recovery. Majority of the industry sectors have realigned their business strategies, priorities, and have amended their economic planning in order to remain in the business and retain their position on the global platform. The exhaustive analysis of the AI in Agriculture market will help the new market entrants to obtain reliable market strategies and plan strong action plans for the forecast period.
AI in Agriculture Market Segmentation & Market Data Breakdown:
Study by Application (Precision FarmingÂ , Livestock MonitoringÂ , Drone AnalyticsÂ , Agriculture RobotsÂ , Other ApplicationsÂ , By), Technology (Machine Learning, Computer Vision, Predictive Analytics), Offerings (Hardware, Software, AI-As-A-Service)
Rising Demand of Cattle Face Recognition Technology
Increasing Dependency on Machine Learning Based Technology
Growing Demand of Agriculture Production
Adoption of Advanced Robotic Technology
Introduction of IOT based technology
High Cost of AI Technology
Lack of Understanding
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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 Global AI in Agriculture market
Chapter 2: Exclusive Summary – the basic information of the Global AI in Agriculture Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Global AI in Agriculture
Chapter 4: Presenting the Global 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 2013-2020
Chapter 6: Evaluating the leading manufacturers of the Global 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 with revenue share and sales by key countries in these various regions.
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, Global AI in Agriculture Market is a valuable source of guidance for individuals and companies.
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Key Questions Addressed in the Report
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