The goal of the most recent market intelligence report, "Global Artificial Intelligence in Agriculture Market", is to provide the intended audience with essential details about the global keyword industry. The analysis goes into great detail about the market's current state and its long-term growth potential. The report offers a well-organized database of Artificial Intelligence in Agriculture market dynamics to aid market researchers in forecasting the growth rate of the global market throughout the course of the forecast year. The Artificial Intelligence in Agriculture market research provides a complete analysis of the past, present, and anticipated revenues for each industry vertical, segment, end-use industry, application, region, and industry vertical. Organizations have been forced to successfully adjust to the rapidly shifting business environment due to the catastrophic global crisis. The research also assesses the short- and long-term effects of the epidemic on the keyword business.
The study includes a detailed discussion of the report's key drivers, restrictions, opportunities, limitations, threats, and micro- and macroeconomic factors affecting the keyword market. The report conducts extensive research on the factors that have an impact on the expansion of the Artificial Intelligence in Agriculture market as well as the expansion of the industry. The report goes into great detail about the benefits and drawbacks of the pandemic for the Artificial Intelligence in Agriculture industry. The Artificial Intelligence in Agriculture industry's dynamics have changed as a result of economic volatility and disruptions to the supply chain. The report looks at how the pandemic affected the market's most important segments and regions. Accordingly, Emergen Research's report on the Artificial Intelligence in Agriculture Market is an in-depth compilation of the most important aspects of the market, such as product offerings by key players, wide range of applications. of these products, key market segments, key competitors, company profile, pricing strategy, production capacity, revenue generation strategy, technological advancement, etc. The global economic landscape has been dramatically altered by the pandemic, disrupting the workings of the Artificial Intelligence in Agriculture 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 has been categorized on the basis of key geographical regions into North America, Asia Pacific, Europe, Latin America, and Middle East & Africa. It evaluates the presence of the global Artificial Intelligence in Agriculture market in the major regions with regards to market share, market size, revenue contribution, sales network and distribution channel, and other key elements.
Leading companies profiled in the report:
Microsoft Corporation, Descartes Labs, Inc., Gamaya Inc., Precision Hawk, Connecterra B.V, Autonomous Tractor Corporation, Taranis, IBM Corporation, Granular Inc., and VineView
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On the basis of type, the market is segmented into
-
Component Outlook (Revenue, USD Billion; 2019-2030)
- Hardware
- Software
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Technology Outlook (Revenue, USD Billion; 2019-2030)
- Machine Learning & Deep Learning
- Computer Vision
- Predictive Analysis
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Application Outlook (Revenue, USD Billion; 2019-2030)
- Precision Farming
- Drone Analytics
- Agriculture Robots
- Others
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.
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