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AI in Agriculture Market by Technology, Offering, Application, Offering And Geography - Global Forecast to 2025

AI: Agriculture Market Forecast until 2025

  • December 2017
  • 165 pages
  • ID: 5253738
In this report:
The Argentine economy is supported by agricultural exports, which constituted about ##.##% of total export of the country in 2016 according to the Organisation for Economic Co-operation and Development.
The market for drone analytics is expected to be worth USD ##,##.## million by 2025, growing at the highest CAGR of ##.##% during the forecast period owing to its extensive use in diagnosing and mapping crop health and making real-time decisions.

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AI in agriculture market anticipated to grow at a CAGR (Compound annual growth rate) of 22.50 percent from 2017 to 2025

The AI in agriculture market is forecasted to be worth $2628.50M by 2025 from $518.70M in 2017, increasing at a compound annual growth rate (CAGR) of 22.50 percent between 2017 and 2025. The key factors driving the rise of the AI in agriculture market contain the increasing demand for agricultural production due to the growing population, growing adoption of information management systems and new, advanced technologies for improving crop productivity, rising crop productivity by implementing deep learning techniques, and increasing initiatives by worldwide governments supporting the adoption of modern agricultural techniques. The high cost of gathering precise field data is a main factor restraining the increase of the AI in agriculture market

AI in agriculture market for computer vision technology forecasted to grow at the maximal CAGR during the outlook period

The sector for computer vision is anticipated to rise at the maximal CAGR (Compound annual growth rate) during the estimate period. The growing use of computer vision technology for agriculture applications, including plant image recognition, and the increasing demand for continuous monitoring and analyzing crop health are the main factors providing to the rise of the market for AI solutions established on computer vision technology

Market for drone analytics applications intended to grow at the maximal compound annual growth rate (CAGR) during the outlook period

The industry for drone analytics is anticipated to grow at the highest CAGR (Compound annual growth rate) during the estimate period according to its extensive use in diagnosing and mapping crop health and making real-time decisions. Futhermore, favorable government mandates for using drones in agriculture field is anticipated to fuel the increase of the AI in agriculture market for the drone analytics application

AI in agriculture market in Asia-Pac forecasted to grow at the highest compound annual growth rate (CAGR) during the outlook period

The rising adoption of deep learning and computer vision technologies for agricultural applications is a main driving factor for the market increase in the Asia-Pacific regions. Futhermore, the growing awareness among growers regarding benefits combined with artificial intelligence technologies, including computer vision, machine learning, and deep learning, for different farming applications is also a main factor contributing toward the increase of the AI in agriculture market in this area.

The breakup of primaries conducted during the market research is depicted below:

• By Company category: Tier 1 - 35 %, Tier 2 - 40.0 percent, and Tier 3 - 25.0 percent

• By Description: C-suite executives - 57.0 percent, Directors - 29.0 percent, and Others - 14.0 percent

• By Area: Americas - 40.0 percent, EU - 30.0 percent, Asia-Pac - 20.0 percent, and rest of the world - 10.0 percent

The top players operating in the AI in agriculture market are IBM (NYSE:IBM), John Deere, Microsoft, Agribotix, The Climate Corporation, ec2ce, Descartes Labs, Sky Squirrel Technologies, Mavrx, aWhere, Gamaya, Precision Hawk, Granular, Prospera, Cainthus, and Spensa Technologies.

Segment Research

This business report includes the AI in agriculture market established on offering, technology, application, and area. The AI in agriculture market established on offering has been split into hardware, software, AI-as-a-Service, and Service. Established on applications, the AI in agriculture market has been divided into precision farming, livestock monitoring, drone analytics, agriculture robots, and others. On the basis technology, the AI in agriculture market has been categorized into machine learning, computer vision, and predictive analytics. On the basis of area, the sector has been broken down into the Americas, Europe (EU), Asia Pacific (APAC), and RoW.

Main highlights

• this business report includes the industry statistics pertaining to offering, application, technology, and area, together with their respective market sizes.

• In-depth review of the value chain has been done to furnish a detailed insight into the AI in agriculture market.

• Major drivers, market restraints, opportunities, and alternatives pertaining to the AI in agriculture market have been precised in this industry report.

• Illustrative segmentation, study, and estimate for the industries on the basis of offering, application, technology, and area have been conducted to provide an global view of the AI in agriculture market.

• The report includes a in-depth competitive leadership mapping, containing top players and their detailed review and ranking of the main actors.

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