Artificial Intelligence in Agriculture Market Manufacturers, Type, Application, Regions and Forecast

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Increasing implementation of data generation through sensors is one of the key factors driving market revenue growth

Our team of analysts meticulously curated the new Emergen Research publication titled "Global Artificial Intelligence in Agriculture Market" with readers' comprehension in mind and included a comprehensive database of industry distribution. In order to accurately predict the outlook for the global Artificial Intelligence in Agriculture market over the forecast period (2022-2030), the report examines both historical and current market scenarios in greater depth. The factors that influence the market's overall growth have been highlighted by researchers in their global market analysis. In order to examine the advantages, disadvantages, opportunities, and threats associated with the expansion of various market segments, the study makes use of effective analytical tools like Porter's Five Forces and SWOT analysis. The reader can get a complete picture of the Artificial Intelligence in Agriculture market thanks to the report's crucial details, such as the market shares of the major players. The most recent research report is an excellent illustration of the thorough examination of the global Artificial Intelligence in Agriculture market. The table of contents, a list of tables and figures, the research methodology, the competitive landscape, geographic segmentation, future developments, and technological innovation are all included. This business field has been affected in almost every way by the global disruption. However, the most recent study predicts the effects of the pandemic on this industry and discusses the current market situation. Besides, the significant parts of the market have been talked about in the report, with well-qualified conclusions on the ongoing status of the market.

The Artificial Intelligence (AI) in agriculture market size reached USD 1.70 Billion in 2021 and is expected to register a revenue CAGR of 27.0% during the forecast period to a latest analysis by Emergen Research. The increasing implementation of data generation through sensors is a key factor driving revenue growth of the market. Precision agriculture is one type of farm management strategy that can assist farmers in producing more crops with fewer resources. The next big thing in farming may be AI-powered precision agriculture. To assist farmers to maximize yields and cut costs, precision farming combines the best soil management techniques, variable rate technologies, and the most efficient data management processes. Farmers may identify fields that require irrigation, fertilizer, or pesticide application by using real-time insights from AI. Additionally, innovative farming techniques such as vertical agriculture may assist boost food production while using fewer resources. Herbicide use is reduced, harvest quality is improved, earnings are increased, and there are significant cost savings as a result.

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The global Artificial Intelligence in Agriculture market is highly consolidated due to the presence of a large number of companies across this industry. These companies are known to make hefty investments in research and development projects. Also, they control a considerable portion of the overall market share, thus limiting the entry of new players into the sector.  The global Artificial Intelligence in Agriculture market report studies the prudent tactics undertaken by the leading market players, such as partnerships and collaborations, mergers & acquisitions, new product launches, and joint ventures.

Some of the key participants in this industry include:

Microsoft Corporation, Descartes Labs, Inc., Gamaya Inc., Precision Hawk, Connecterra B.V, Autonomous Tractor Corporation, Taranis, IBM Corporation, Granular Inc., and VineView

Key regions covered in the report:

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa

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In addition, the analytical data are presented in a well-organized format in the form of charts, tables, graphs, figures, and diagrams in the report. This makes it easier for readers to comprehend the market scenario in a beneficial way. In addition, the report aims to provide a forward-looking perspective and an instructive conclusion to assist the reader in making profitable business decisions. The report concludes with a comprehensive SWOT and Porter's Five Forces analysis of the segments anticipated to dominate the market, regional bifurcation, estimated market size and share, and more.

On the basis of type, the market is segmented into

  • Component Outlook (Revenue, USD Billion; 2019-2030)

    • Hardware
    • Software
  • Technology Outlook (Revenue, USD Billion; 2019-2030)

    • Machine Learning & Deep Learning
    • Computer Vision
    • Predictive Analysis
  • Application Outlook (Revenue, USD Billion; 2019-2030)

    • Precision Farming
    • Drone Analytics
    • Agriculture Robots
    • Others

Valuable Market Insights:

  • The report highlights the latest trends observed in the consumption pattern of each regional segment.
  • Extensive market segmentation included in the report helps better understand the revenue and estimated growth of the individual regions.
  • The report throws light on the historical and current market scenarios and provides a concise year-on-year growth rate of the global Artificial Intelligence in Agriculture market.
  • The report further entails the current market trends, technological advancements, revenue growth, and other aspects affecting market growth.

Questions addressed in the report:

  • What is the estimated market growth rate throughout the forecast period?
  • Which end-use industry is expected to witness the highest demand for Artificial Intelligence in Agriculture in the near future?
  • What is the regulatory framework governing the application of Artificial Intelligence in Agriculture in the food industry?
  • Which manufacturing processes are utilized for the production of Artificial Intelligence in Agriculture?

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