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Artificial Intelligence (AI) in Agriculture Market Projected to Witness Vigorous Expansion by 2027 || IBM, John Deere, Microsoft, Agribotix

Artificial Intelligence (AI) in AgricultureGlobal Artificial Intelligence (AI) in Agriculture Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2027 (Based on 2020 COVID-19 Worldwide Spread) is latest research study released by CDI evaluating the market, highlighting opportunities, risk side analysis, and leveraged with strategic and tactical decision-making support. The study provides information on market trends and development, drivers, capacities, technologies, and on the changing investment structure of the Global Artificial Intelligence (AI) in Agriculture Market. Some of the key players profiled in the study are IBM, John Deere, Microsoft, Agribotix, The Climate Corporation, ec2ce, Descartes Labs, Sky Squirrel Technologies, Mavrx, aWhere, Gamaya, Precision Hawk, Granular, Prospera, Cainthus, Spensa Technologies, Resson, FarmBot, Connecterra, Vision Robotics, Harvest Croo, Autonomous Tractor Corporation, Trace Genomics, Vine Rangers, CropX.,

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Artificial Intelligence (AI) in Agriculture Market Overview:

If you are involved in the Artificial Intelligence (AI) in Agriculture industry or intend to be, then this study will provide you comprehensive outlook. It’s vital you keep your market knowledge up to date segmented by Major applications/end-users Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Other, and By Product Type Machine Learning, Computer Vision, Predictive Analytics, and major players. If you want to classify different company according to your targeted objective or geography, we can provide customization according to your requirement.

Artificial Intelligence (AI) in Agriculture Market: Demand Analysis & Opportunity Outlook 2027

Artificial Intelligence (AI) in Agriculture research study is to define market sizes of various segments & countries by past years and to forecast the values by next 5 years. The report is assembled to comprise each qualitative and quantitative elements of the industry facts including: market share, market size (value and volume 2014-19, and forecast to 2027) which admire each countries concerned in the competitive examination. Further, the study additionally caters the in-depth statistics about the crucial elements which includes drivers & restraining factors that defines future growth outlook of the market.

Important years considered in the study are:
Historical year – 2014-2019;

Base year – 2019;

Forecast period** – 2020 to 2027

The segments and sub-section of Artificial Intelligence (AI) in Agriculture market are shown below:

The Study is segmented by following Product Type: Machine Learning, Computer Vision, Predictive Analytics,

Major applications/end-users industry are as follows: Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Other,

Some of the key players/Manufacturers involved in the Market are – IBM, John Deere, Microsoft, Agribotix, The Climate Corporation, ec2ce, Descartes Labs, Sky Squirrel Technologies, Mavrx, aWhere, Gamaya, Precision Hawk, Granular, Prospera, Cainthus, Spensa Technologies, Resson, FarmBot, Connecterra, Vision Robotics, Harvest Croo, Autonomous Tractor Corporation, Trace Genomics, Vine Rangers, CropX.,

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If opting for the Global version of Artificial Intelligence (AI) in Agriculture Market analysis is provided for major regions as follows:
– North America (USA, Canada and Mexico)
– Europe (Germany, France, the United Kingdom, Netherlands, Russia , Italy and Rest of Europe)
– Asia-Pacific (China, Japan, Australia, New Zealand, South Korea, India and Southeast Asia)
– South America (Brazil, Argentina, Colombia, rest of countries etc.)
– Middle East and Africa (Saudi Arabia, United Arab Emirates, Israel, Egypt, Nigeria and South Africa)

Key Answers Captured in Study are
Which geography would have better demand for product/services?
What strategies of big players help them acquire share in regional market?
Countries that may see the steep rise in CAGR & year-on-year (Y-O-Y) growth?
How feasible is market for long term investment?
What opportunity the country would offer for existing and new players in the Artificial Intelligence (AI) in Agriculture market?
Risk side analysis involved with suppliers in specific geography?
What influencing factors driving the demand of Artificial Intelligence (AI) in Agriculture near future?
What is the impact analysis of various factors in the Global Artificial Intelligence (AI) in Agriculture market growth?
What are the recent trends in the regional market and how successful they are?

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Major Key Points from Table of Content:

There are 15 Chapters to display the Global Artificial Intelligence (AI) in Agriculture market.
Chapter 1, About Executive Summary to describe Definition, Specifications and Classification of Global Artificial Intelligence (AI) in Agriculture market, Applications [Large Enterprises, Small and Medium-sized Enterprises (SMEs) & Others], Market Segment by Types , Cloud-Based & On-premise;
Chapter 2, objective of the study.
Chapter 3, to display Research methodology and techniques.
Chapter 4 and 5, to show the Artificial Intelligence (AI) in Agriculture Market Analysis, segmentation analysis, characteristics;
Chapter 6 and 7, to show Five forces (bargaining Power of buyers/suppliers), Threats to new entrants and market condition;
Chapter 8 and 9, to show analysis by regional segmentation[North America (Covered in Chapter 6 and 13), United States, Canada, Mexico, Europe (Covered in Chapter 7 and 13), Germany, UK, France, Italy, Spain, Russia, Others, Asia-Pacific (Covered in Chapter 8 and 13), China, Japan, South Korea, Australia, India, Southeast Asia, Others, Middle East and Africa (Covered in Chapter 9 and 13), Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Others, South America (Covered in Chapter 10 and 13), Brazil, Argentina, Columbia, Chile & Others ], comparison, leading countries and opportunities; Regional Marketing Type Analysis, Supply Chain Analysis
Chapter 10, to identify major decision framework accumulated through Industry experts and strategic decision makers;
Chapter 11 and 12, Global Artificial Intelligence (AI) in Agriculture Market Trend Analysis, Drivers, Challenges by consumer behavior, Marketing Channels
Chapter 13 and 14, about vendor landscape (classification and Market Ranking)
Chapter 15, deals with Global Artificial Intelligence (AI) in Agriculture Market sales channel, distributors, Research Findings and Conclusion, appendix and data source.

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