The Global Market for Artificial Intelligence (AI) In Agriculture Was Estimated at USD 2.20 Billion In the Year 2022, Is Projected to Reach A Revised Size of USD 11.01 Billion By 2030, Growing at A CAGR of 22.3% Over the Forecast Period 2023-2030. 

One of the most significant technological advancements in many fields, including banking, robotics, education, agriculture, and others, is artificial intelligence. It is fundamentally changing the agriculture industry and playing a significant role in it. Crop production, as well as real-time monitoring, harvesting, processing, and marketing, have all improved thanks to artificial intelligence.

Numerous advanced computer-based technologies are intended to identify numerous crucial criteria, including crop quality, yield detection, weed identification, and many more. Plantix is a brand-new software developed by AI. It was created by PEAT to detect soil inadequacies, such as illnesses and pests that affect plants. Farmers can use this application to gain ideas on how to apply better fertilizer, which will raise the quality of the harvest.

Top Key Players Covered in The AI In Agriculture Market

Deere & Company(US), IBM Corporation (US), Microsoft Corporation (US), The Climate Corporation (US), Farmers Edge Inc. (Canada), Hewlett Packard Enterprise Development LP (US), Cisco Systems Inc. (US), Google LLC (US), Amazon Web Services Inc (US), Corteva Inc (US), AgEagle Aerial Systems Inc. (US), Descartes Labs Inc. (US) and Other Major Players.

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The AI in Agriculture market research study ensures the highest level of accuracy and reliability as we precisely examine the overall industry, covering all the market fundamentals. By leveraging a wide range of primary and secondary sources, we establish a strong foundation for our findings. Industry-standard tools like Porter's Five Forces Analysis, SWOT Analysis, and Price Trend Analysis further enhance the comprehensiveness of our evaluation.

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Segmentation Analysis of The AI in Agriculture Market

AI in the Agriculture Market segments covers the Type, Technology, Deployment, Application, and end-users. By Application, the Precision Farming segment is Anticipated to Dominate the Market Over the Forecast period.

By Type     

  • Solution
  • Service

By Technology   

  • Machine Learning
  • Computer Vision
  • Predictive Analytics
  • By Deployment
  • Cloud
  • On-premise
  • Hybrid

By Application   

  • Weather Tracking
  • Precision Farming
  • Drone Analytics

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Regional Analysis of The AI In Agriculture Market

North America is Expected to Dominate the Market Over the Forecast period.

  • Rising disposable income, continuous support for automation, large investments in the Internet of Things, and a growing government focus on domestic AI equipment development are the hallmarks of the North American economy.
  • The area is home to one of the strongest industrial automation sectors and a booming artificial intelligence market. North America is characterized by a population with more purchasing power, continuous automation growth, significant IoT investments, and growing government focus on homegrown AI equipment manufacturing.
  • The market benefits from the presence of multiple agricultural technology businesses exploring AI-based solutions, including IBM Corporation, Deere & Company, Microsoft, Granular, Inc., and The Climate Corporation.

By Region

  • North America (US, Canada, Mexico)
  • Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
  • Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
  • Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
  • South America (Brazil, Argentina, Rest of SA)

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