Artificial Intelligence

Artificial Intelligence in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering (Software, Hardware, AI-as-a-Service, and Services), Application, and Geography – Global Forecast to 2026


In the Artificial Intelligence in Agriculture statistical surveying study, 2019 is considered as the base year, and 2020-2027 is considered as the estimate time frame to anticipate the market size. Significant districts stressed in the report incorporate North America, South America, Europe, Asia, Pacific region Middle East & Africa. The global Artificial Intelligence in Agriculture market is estimated to grow from USD 1 billion in 2020 to USD 4 billion by 2026, at a CAGR of 25.5%.

The report on the Artificial Intelligence in Agriculture Market gives a foot perspective on the present continuing inside the Artificial Intelligence in Agriculture market. Further, the report likewise considers the effect of the novel COVID-19 pandemic on the Artificial Intelligence in Agriculture market and offers an away from of the anticipated market variances during the estimate time frame.

The global Artificial Intelligence in Agriculture market report covers major market players such as
International Business Machines Corp. (IBM) (US)
Deere & Company (John Deere) (US)
Microsoft Corporation (Microsoft) (US)
Farmers Edge Inc. (Farmers Edge) (Canada)
The Climate Corporation (Climate Corp.) (US)
ec2ce (ec2ce) (Spain)
Descartes Labs
Inc. (Descartes Labs) (US)
AgEagle Aerial Systems (AgEagle) (US)
aWhere Inc. (aWhere) (US)
Gamaya Inc. (Gamaya) (Switzerland)
Precision Hawk Inc. (Precision Hawk) (US)
Granular
Inc. (Granular) (US)
Prospera Technologies (Prospera) (Israel)
Cainthus Corporation (Cainthus) (Ireland)
Taranis (Taranis) (Israel)
Resson Inc. (Resson) (Canada)
FarmBot Inc. (FarmBot) (US)
Connecterra B.V. (Connecterra) (Netherlands)
Vision Robotics Corporation (Vision Robotics) (US)
Harvest Croo
LLC (Harvest Croo) (US)
Autonomous Tractor Corporation (ATC) (US)
Trace Genomics
Inc. (Trace Genomics) (US)
VineView (VineView) (Canada)
CropX Inc. (CropX) (Israel)
Tule Technologies Inc. (Tule Technologies) (US)
and PEAT GmbH (PEAT) (Germany).

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In 2027, the Artificial Intelligence in Agriculture market is spectated to outperform ~US$ xx Mn/Bn with a CAGR of xx% over the estimate time frame. The Artificial Intelligence in Agriculture market clicked an estimation of ~US$ xx Mn/Bn in 2019. Region is required to represent a critical piece of the overall industry, where the Artificial Intelligence in Agriculture market size is anticipated to blow up with a CAGR of xx% during the estimate time frame.

The report inspects each Artificial Intelligence in Agriculture market player as per its piece of the pie, creation impression, and development rate. SWOT examination of the players (qualities, weaknesses, opportunities and threats) has been covered in this report. Further, the Artificial Intelligence in Agriculture market study portrays the ongoing dispatches, understandings, R&D undertakings, and business systems of the market players including.

High Points of the Global Artificial Intelligence in Agriculture Report:

  • All the market segmentation represented region wise.
  • Past, present, and future market size for the value and volume.
  • Market shares and business strategies of the key players.
  • Emerging all segments and regional markets.
  • The whole analysis of the Artificial Intelligence in Agriculture market.
  • Recommendations regarding business opportunities and current challenges.
  • Information regarding advanced development and technology innovation for the Artificial Intelligence in Agriculture market.

The research report includes specific segments by Type and by Application. This study provides information about the sales and revenue during the historic and forecasted period of 2015 to 2027.

Global Artificial Intelligence in Agriculture Market: Segmentation

AI in agriculture market segmentation:

 In this report, the AI in agriculture market has been segmented into the following categories:

Based on technology:

  • Machine Learning
  • Computer Vision
  • Predictive Analytics

Based on offering:

  • Hardware
  • Software
  • AI-as-a-Service
  • Services

Based on application:

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

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Global Artificial Intelligence in Agriculture Market: Regional Analysis

The Artificial Intelligence in Agriculture market is examined and showcase size data is given by region. The report incorporates nation astute and region-wise market size for the period 2015-2027. It additionally incorporates showcase size and conjecture by Type and by Application fragment as far as deals and income for the period 2015-2027.

The key regions covered in the Artificial Intelligence in Agriculture market report are:

  • North America (U.S., Canada, Mexico)
  • South America (Cuba, Brazil, Argentina, and many others.)
  • Europe (Germany, U.K., France, Italy, Russia, Spain, etc.)
  • Asia (China, India, Russia, and many other Asian nations.)
  • Pacific region (Indonesia, Japan, and many other Pacific nations.)
  • Middle East & Africa (Saudi Arabia, South Africa, and many others.)

The examination report on the global Artificial Intelligence in Agriculture market offers a treasury of economic situations and strategies wherein the market has been acting in various circumstances. Additionally, SWOT investigation and Porters Five Forces examination are utilized to speak to the positive and negative factors that are affecting the market development. Additionally, this report covers the inside and out factual examination and the market elements and requests which give an entire situation of the business.

Global Artificial Intelligence in Agriculture Market: Competitive Analysis

This area of the report recognizes different key makers of the market. It enables the reader to comprehend the systems and coordinated efforts that players are concentrating on battle rivalry in the market. The extensive report gives a critical infinitesimal gander at the market. The reader can distinguish the impressions of the producers by thinking about the worldwide income of makers, the worldwide cost of manufacturer, and deals by makers during the conjecture time of 2015 to 2027.



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