New Jersey, USA -- (SBWire) -- 07/22/2022 --The latest study released on the Global Agricultural AI Market by AMA Research evaluates market size, trend, and forecast to 2027. The Agricultural AI market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.
Key Players in This Report Include:
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), The Climate Corporation (Subsidiary of Monsanto) (United States),
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Definition:
Agricultural AI refers to 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 global agriculture AI market.
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
Market Opportunities:
- Huge Opportunity In Untapped Market In Emerging Countries
- Emerging Technology of Chatbots For Assisting Farmers
The Global Agricultural AI Market segments and Market Data Break Down are illuminated below:
by Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others), Technology (Machine Learning, Computer Vision, Predictive Analytics), Component (Hardware, Software, Services)
Global Agricultural AI market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to help the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.
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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
- The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
- North America (United States, Mexico & Canada)
- South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
Objectives of the Report
- -To carefully analyze and forecast the size of the Agricultural AI market by value and volume.
- -To estimate the market shares of major segments of the Agricultural AI
- -To showcase the development of the Agricultural AI market in different parts of the world.
- -To analyze and study micro-markets in terms of their contributions to the Agricultural AI market, their prospects, and individual growth trends.
- -To offer precise and useful details about factors affecting the growth of the Agricultural AI
- -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Agricultural AI market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.
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Major highlights from Table of Contents:
Agricultural AI Market Study Coverage:
- It includes major manufacturers, emerging player's growth story, and major business segments of Agricultural AI market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
- Agricultural AI Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
- Agricultural AI Market Production by Region Agricultural AI Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
- Key Points Covered in Agricultural AI Market Report:
- Agricultural AI Overview, Definition and Classification Market drivers and barriers
- Agricultural AI Market Competition by Manufacturers
- Impact Analysis of COVID-19 on Agricultural AI Market
- Agricultural AI Capacity, Production, Revenue (Value) by Region (2021-2027)
- Agricultural AI Supply (Production), Consumption, Export, Import by Region (2021-2027)
- Agricultural AI Production, Revenue (Value), Price Trend by Type {Payment Gateway, Merchant Account, Subscription Management,}
- Agricultural AI Manufacturers Profiles/Analysis Agricultural AI Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
- Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.
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Key questions answered
- How feasible is Agricultural AI market for long-term investment?
- What are influencing factors driving the demand for Agricultural AI near future?
- What is the impact analysis of various factors in the Global Agricultural AI market growth?
- What are the recent trends in the regional market and how successful they are?
- Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.
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Craig Francis (PR & Marketing Manager)
AMA Research & Media LLP
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New Jersey USA – 08837
Agricultural AI Market Will Hit Big Revenues in Future : NVIDIA, Deere & Company, Google