Artificial Intelligence (AI) in Agriculture Market 2018 SWOT Analysis by Players: John Deere, Trimble, Iteris, AGCO, IBM

One of the latest trends that will gain traction in the AI market in the agriculture industry in the coming years is the adoption of smart sensors and precision agriculture. Smart sensors are laid out across the field to help precision agriculture process information given by the control systems and make informed decisions in fertilizing, planting, and harvesting. Additionally, these smart sensors measure soil and climatic aspects such as temperature and humidity and provide information to the control system.

Global Artificial Intelligence (AI) in Agriculture Market Size, Status and Forecast 2025 presents an in-depth assessment of the Artificial Intelligence (AI) in Agriculture industry including enabling technologies, deployment models, market drivers, key trends, standardization, regulatory landscape, challenges, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents forecasts for Artificial Intelligence (AI) in Agriculture Market investments from 2018 till 2025. This report divides the global Artificial Intelligence (AI) in Agriculture market on the basis of types and on the basis of application, the global Artificial Intelligence (AI) in Agriculture market is divided geographically into: North America, Europe, Asia Pacific, Latin America, Africa, and Middle East. Each of these regions is analyzed on basis of market findings across major countries in these regions for a macro-level understanding of the market.

The key players covered in this study

  • John Deere
  • Trimble
  • Iteris
  • AGCO
  • IBM
  • Intel
  • Microsoft
  • SAP

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The report on “Global Artificial Intelligence (AI) in Agriculture Market” is a professional report which provides thorough knowledge along with complete information pertaining to the Artificial Intelligence (AI) in Agriculture industry a propos classifications, definitions, applications, industry chain summary, industry policies in addition to plans, product specifications, manufacturing processes, cost structures, etc. The potential of this industry segment has been rigorously investigated in conjunction with primary market challenges. The present market condition and future prospects of the segment has also been examined. Moreover, key strategies in the market that includes product developments, partnerships, mergers and acquisitions, etc., are discussed. Besides, upstream raw materials and equipment and downstream demand analysis is also conducted.

Market analysis by product Type

  • Machine Learning
  • Computer Vision
  • Predictive Analytics

Market analysis by Application

  • Precision Farming
  • Livestock Monitoring
  • Drone Analytics
  • Agriculture Robots
  • Others

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Report Includes:-

The report cloaks the market analysis and projection of “Artificial Intelligence (AI) in Agriculture Market” on a regional as well as global level. The report constitutes qualitative and quantitative valuation by industry analysts, first-hand data, assistance from industry experts along with their most recent verbatim and each industry manufacturers via the market value chain.

The research experts have additionally assessed the in general sales and revenue generation of this particular market. In addition, this report also delivers widespread analysis of root market trends, several governing elements and macro-economic indicators, coupled with market improvements as per every segment.

The study objectives of this report are:

To analyze global Artificial Intelligence (AI) in Agriculture status, future forecast, growth opportunity, key market and key players.
To present the Artificial Intelligence (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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