Pune, India -- (SBWIRE) -- 02/19/2019 -- Detailed information about Artificial Intelligence (AI) in Agriculture Industry
Artificial Intelligence (AI) in Agriculture Market size is being driven by the growing adoption of the robots in agriculture. Increasing consumption and rising requirement of better yield of crops are estimated to be one of the major factors that is fueling the demand of robots in agriculture. Increasing consumption motivates farmers to scale up farming operations and give rise to the requirement of automating farming operations.
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As the farmers are shifting more towards automation, drones and robots have become integral part of agriculture farms and are enhancing yield and improving the product quality. Since AI is the backbone of robotics, increasing adoption of robots in agriculture is estimated to drive the AI in agriculture market growth.
Artificial Intelligence (AI) in Agriculture market research is provided on past, current and anticipated market situations, market drivers, trends driving it, and the challenges faced by the market which will help in deciding corporate strategy, product strategy, marketing strategy and sales strategy.
Some of key competitors or manufacturers included in the study are: IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Mavrx, aWhere, Precision Hawk, Granular, Prospera Technologies, Spensa Technologies, Resson, Vision Robotics, Harvest Croo Robotics, CropX, John Deere, Gamaya, Cainthus,
Furthermore, the report provides insightful and comprehensive information in consideration of the different industry pioneers, including their revenue details, technological advancements, innovations, key developments, SWOT analysis, mergers & applications, future strategies, and market footprint. On the basis of segmentation, the market has been classified into product type, the technologies used, end-user, industry vertical, and geography.
Market Segment by Type, covers:Machine Learning, Computer Vision, Predictive Analytics
Market Segment by Applications, can be divided into: Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others,
The market is largely fragmented and the vast majority of the players functioning in the global Artificial Intelligence (AI) in Agriculture market are taking steps to raise their market footprint, by concentrating on product diversification and development, therefore making them seize a larger share of the market.
Market segment by Regions/Countries, this report covers
?North America
?Europe
?China
?Rest of Asia Pacific
?Central & South America
?Middle East & Africa
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Highlights following key factors:
:- Business description – A detailed description of the company's operations and business divisions.
:- Corporate strategy – Analyst's summarization of the company's business strategy.
:- SWOT Analysis – A detailed analysis of the company's strengths, weakness, opportunities and threats.
:- Company history – Progression of key events associated with the company.
:- Major products and services – A list of major products, services and brands of the company.
:- Key competitors – A list of key competitors to the company.
:- Important locations and subsidiaries – A list and contact details of key locations and subsidiaries of the company.
:- Detailed financial ratios for the past five years – The latest financial ratios derived from the annual financial statements published by the company with 5 years history.
Our report offers:
– Market share assessments for the regional and country level segments.
– Market share analysis of the top industry players.
– Strategic recommendations for the new entrants.
– Market forecasts for a minimum of 9 years of all the mentioned segments, sub segments and the regional markets.
– Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations).
– Strategic recommendations in key business segments based on the market estimations.
– Competitive landscaping mapping the key common trends.
– Company profiling with detailed strategies, financials, and recent developments.
– Supply chain trends mapping the latest technological advancements.
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