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Artificial Intelligence in Agriculture Market 2019-2025: Recent Trends and Growth Opportunities | Profiling Players- Ag Leader Technology, Trimble, Agribotix, Granular, SAP, Mavrx, Precision Hawk, Where, IBM

The world of Artificial Intelligence (AI) is quickly on the rise as it makes its way into many different industries. From manufacturing to automotive, you can likely see AI used for many different purposes; and as time goes on, you’ll only see it even more. One of the most interesting industries that AI is breaking into is agriculture.

Agriculture is a major industry and a huge part of the foundation of our economy. According to the Environmental Protection Agency (EPA), the agricultural industry contributes nearly $330 billion in annual revenue to our economy. As climates are changing and populations are increasing, AI is becoming a technological innovation that is improving and protecting crop yield in the U.S. Here are some major ways that AI is contributing to the agricultural industry.

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Worldwide Artificial Intelligence in Agriculture Market Analysis to 2026 is a specialized and in-depth study of the Artificial Intelligence in Agriculture industry with a focus on the global market trend. The report aims to provide an overview of global Artificial Intelligence in Agriculture Market with detailed market segmentation by product/application and geography. The global Artificial Intelligence in Agriculture Market is expected to witness high growth during the forecast period. The report provides key statistics on the Market status of the Artificial Intelligence in Agriculture players and offers key trends and opportunities in the Market.

Key Players of Global Artificial Intelligence in Agriculture Market:

  • Agribotix
  • Bayer CropScience AG
  • Case IH Agriculture
  • ClearAg Operations
  • Deere & Company
  • Farmers Edge Inc.
  • Granular AG
  • Grownetics Inc.
  • IBM
  • Mapshots Inc.
  • SST Software

Types of Artificial Intelligence in Agriculture covered are:

  • Machine Learning
  • Computer Vision
  • Predictive Analytics

Applications of Artificial Intelligence in Agriculture covered are:

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

Region:

  • North America (USA, Canada, Mexico)
  • Asia Pacific (China, India, Japan, South Korea, Australia, Indonesia, Malaysia)
  • Europe (Germany, France, UK, Italy, Russia)
  • Middle East and Africa (MEA)

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The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global Artificial Intelligence in Agriculture based on by type, component, and application. It also provides market size and forecast till 2026 for overall Artificial Intelligence in Agriculture with respect to five major regions and also, key Artificial Intelligence in Agriculture players influencing the market is profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products and services offered, financial information for the last 3 years, and the key development for past five years.

Key Questions Answered in this Report

  • What will the market size be in 2026 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?

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With all the Artificial Intelligence in Agriculture market statistics that is specified, we provide customizations based on your company’s specific needs. These customization alternatives are available for your own accounts: Regional and also evaluation of Artificial Intelligence in Agriculture business by end-use, and step by step profiles and analysis of key players. Click on Enquiry link for customization.

 

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