Artificial Intelligence in Agriculture Market Revenue, Statistics and Demand Analysis Research Report by 2030

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

The Global Artificial Intelligence in Agriculture Market research report is a detailed document outlining the recent advancements and developments in the Artificial Intelligence in Agriculture business sphere considering 2019 as the base year and 2022-2030 as the forecast timeline. The study provides insightful information on the market's size, share, sales channels, distribution system, market segmentation, consumer demands, market trends, and growth prospects. The market's expansion on a national and international level is also covered in the study. In several important areas, the market's growth has been adversely impacted by supply chain disruptions and economic instability. The study examines the pandemic's current and potential effects as well as the post-pandemic market environment.

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 paper provides a thorough examination of the worldwide and regional markets for Artificial Intelligence in Agricultures and forecasts the market for the next eight years. The market's drivers, restrictions, limitations, growth prospects, challenges, opportunities, and current and upcoming trends are all thoroughly covered in the report. In-depth analysis of the market participants' businesses, product portfolios, technical breakthroughs, expansion plans, financial status, and international positions is also provided in the study. It also gives light on the competitive landscape's joint ventures, partnerships, product launches, brand promotions, business and government relationships, licensing agreements, and other types of collaborations.

Key companies profiled in the report include:

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

The report further covers comprehensive SWOT analysis and Porter’s Five Forces analysis to offer a complete understanding of the competitive landscape and scenario of each market player. The report also provides an in-depth analysis of the applications and product types offered in the market.

Regional analysis includes an in-depth study of the key geographical regions to gain a better understanding of the market and provide an accurate analysis. The regional analysis covers North America, Latin America, Europe, Asia Pacific, and Middle East Africa. The regional analysis covers the analysis of key market segments, including revenue, CAGR, import/export, supply and demand ratio, production and consumption ratio, industrial chain analysis, and market dynamics in each region of the geographies.

To know more about the report, visit @ https://www.emergenresearch.com/industry-report/artificial-intelligence-in-agriculture-market

The report also presents the analytical information in a well-organized fashion divided into graphs, tables, charts, figures, and diagrams. This makes it simple and useful for readers to comprehend the market situation. The research also tries to convey a forward-looking perspective and reach an insightful conclusion to help the reader make profitable business decisions. In summary, the report offers a thorough analysis of the market segments anticipated to dominate it, the regional division, the estimated market size and share, as well as a thorough SWOT analysis and Porter's Five Forces Analysis.

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

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Thank you for reading our report. Please get in touch with us for further queries about the report and our team will assist you according to your needs.

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Vaishnavi Rokade

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