Maharashtra, India -- (SBWIRE) -- 10/15/2018 -- AI in Agriculture Market
Summary
The AI in Agriculture Market has, over the years of massive advancements and vast rise in application areas, become the backbone of a number of industries and continues to transform the way operations and processes are undertaken across a number of industries.This AI in Agriculture Market has touched, in more ways than apparent, and transformed a number of industries, making computer control and automation a norm. Added reliability in the way processes operate, less time to result, and consistent results are some of the key factors new sets of end-users continue to turn to the software industry for a vast variety of operating solutions.
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Scope of the Report:
Major Players in AI in Agriculture market are: IBM, Deere & Company, Microsoft, Agribotix, The Climate Corporation (Subsidiary of Monsanto), Granular, Descartes Labs, Prospera, Mavrx, Awhere, Gamaya, Ec2ce, Precision Hawk, Skysquirrel Technologies, Cainthus, Tule Technologies, Resson, Farmbot, Connecterra, Vision Robotics, Harvest Croo, Autonomous Tractor Corporation, Trace Genomics, Vine Rangers, Cropx, Spensa Technologies.
Major Regions play vital role in AI in Agriculture market are: United States, Europe, China, Japan, Southeast Asia, India, Central & South America.
Research Framework
The report is designed to incorporate both qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as drivers & restraining factors which will define the future growth of the market. Global AI in Agriculture Market Research Report provides insights of AI in Agriculture industry over past 5 years and a forecast until 2025. The Report studies the Market status and future trend in global market, splits by type and applications, to fully and deeply research and reveal the market situation and future forecast.
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Global AI in Agriculture Market: Type Outlook: Hardware, Software.
Global AI in Agriculture Market: Application Outlook: Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Other Applications.
What are the key dynamic factors that are detailed in the report?
Key Market Dynamics: The Global AI in Agriculture Market research report details the latest industry trends, growth patterns, and research methodologies. The factors that directly contribute to the growth of the market include the production strategies and methodologies, development platforms, and the product model itself, wherein a small change would result in further changes in the overall report. All of these factors are explained in detail in the research study.
Market Outlook: The report also sheds light on some of the major factors, including R&D, new product launches, M&A, agreements, partnerships, joint ventures, collaborations, and growth of the key industry participants, on a regional and global basis.
Major Features: The report provides a thorough analysis of some of the significant factors, which include cost, capacity, capacity utilization rate, production, revenue, production rate, consumption, import/export, supply/demand, gross, market share, CAGR, and gross margin. Besides, the report provides a comprehensive study of the key influencing factors and market inclinations, in addition to the relevant market segments and sub-segments.
Analytical Tools: The Global AI in Agriculture Market report consists the precisely studied and evaluated information of the key players and their market scope using several analytical tools, including SWOT analysis, Porter's five forces analysis, investment return analysis, and feasibility study. These tools have been used to efficiently study the growth of the major industry participants.
Potential Customers: The report offers detailed insights to users, service providers, suppliers, manufacturers, stockholders, and individuals who are interested in evaluating and self-studying this market.
The study objectives of this report are:
To analyze global AI in Agriculture status, future forecast, growth opportunity, key market and key players.
To present the AI in Agriculture development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
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In this study, the years considered to estimate the market size of AI in Agriculture are as follows:
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.