Emergen research's Global Artificial Intelligence in Agriculture Market research study is a comprehensive compilation of insightful data on the Artificial Intelligence in Agriculture industry. 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 advantages and disadvantages of the pandemic for the keyword business are covered in great length in the paper. Due to supply chain interruptions and economic unpredictability, the dynamics of the Artificial Intelligence in Agriculture business have shifted. The most significant geographic and market segmental effects of the pandemic are examined in the paper. The segmentation of the Artificial Intelligence in Agriculture market is included in the study, along with a thorough breakdown of its size and value. This research goes into great detail on the projected timeline from 2022 to 2030 as well as the current period's Artificial Intelligence in Agriculture market scenario. For each industry vertical, segment, end-use industry, application, region, and industry vertical, the Artificial Intelligence in Agriculture market report offers a thorough examination of the previous, current, and projected revenues.
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 Artificial Intelligence in Agriculture research report also includes an insightful study of the prominent players of the industry along with their business overview, strategic planning, and business expansion plans adopted by them. This assists the readers and business owners in formulating strategic expansion and investment plans. The report focuses on mergers and acquisitions, joint ventures, collaborations, partnerships, corporate and government deals, and others. The report also talks about the expansions these prominent players are vying for in the key regions of the market. The report focuses on the detailed analysis of the technological and product developments undertaken by these companies.
The report further sheds light on the emerging growth opportunities, challenges, market threats, limitations, and factors likely to restrict the growth of the Artificial Intelligence in Agriculture market. The report further discusses in detail the market in international waters and the emerging trends in those regions. It also offers insights into the competitive landscape, market drivers, industrial scenario, and the latest product and technological developments to offer a comprehensive overview of the Artificial Intelligence in Agriculture market landscape.
The key companies studied in the report are:
Microsoft Corporation, Descartes Labs, Inc., Gamaya Inc., Precision Hawk, Connecterra B.V, Autonomous Tractor Corporation, Taranis, IBM Corporation, Granular Inc., and VineView
On the basis of regional analysis, the market is segmented into the following regions: North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. The market is expected to be dominated by North American nations closely followed by European countries. Asia Pacific is expected to show a significant growth owing to recent advancements and rising investments in the R&D sector.
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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
The report addresses the following key points:
- The report estimates the expected market size from 2020-2027
- Extensive competitive landscape mapping with profiles of the key competitors
- In-depth analysis of business strategies and collaborations such as mergers and acquisitions adopted by the key companies
- Revenue forecast, country scope, application insights, and product insights
- The report provides a forecast of market drivers, restraints, and future opportunities for the Artificial Intelligence in Agriculture market
- The report further analyses the changing market dynamics
- Regional analysis and segmentation of the market with analysis of the regions and segments expected to dominate the market growth
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