The Emergen Research Global Artificial Intelligence in Agriculture Market Report affords an enterprise-extensive evaluation of the Artificial Intelligence in Agriculture marketplace, such as the maximum crucial elements influencing the sector`s expansion. The most recent studies file provides a thorough analysis of the micro- and macro-financial indicators that affect the growth of the global market from 2022 to 2030. The market's expansion on a national and international level is also covered in the study. In numerous important locations, the market's growth has been significantly hampered by supply chain interruptions and economic uncertainty.
The paper examines the pandemic's current and potential effects as well as the post-pandemic commercial environment. The Artificial Intelligence in Agriculture Market File provides a fantastic explanation of current trends in addition to a wide range of expansion opportunities, important drivers, restrictions, problems, and other important factors. The report also takes into account several market characteristics, which in turn present the key players in the Artificial Intelligence in Agriculture industry with numerous opportunities for growth.
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 leading market contenders listed in the report are as follows:
Microsoft Corporation, Descartes Labs, Inc., Gamaya Inc., Precision Hawk, Connecterra B.V, Autonomous Tractor Corporation, Taranis, IBM Corporation, Granular Inc., and VineView
In addition to projecting the market valuations for the present and the future based on the demand-supply dynamics and price structures of the key regional segments, this portion of the study provides insightful information about the geographical segmentation of the keyword market. Each segment's and sub-segment's growth potential have also been carefully detailed in the report.
Nearly every part of the business sector has been impacted by the global health crisis, which has also severely disrupted the supply and demand chains for the worldwide keyword market. The paper also evaluates the current market environment and predicts its future results while taking into account the pandemic's effects on the global economy. Because there are so many businesses in this sector, the global keyword market is very consolidated. The research goes into great detail on these firms' present market positions, previous performances, demand and supply graphs, production and consumption patterns, sales networks, distribution methods, and market growth prospects. The strategic moves made by the major market competitors to diversify their product offerings and strengthen their position on the market are closely examined in the study.
The report classifies the global Artificial Intelligence in Agriculture market into various regions, including:
- North America (U.S., Canada)
- Latin America (Chile, Brazil, Argentina, Rest of Latin America)
- Europe (U.K., Italy, Germany, France, Rest of EU)
- Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
- Middle East Africa (Saudi Arabia, the U.A.E., South Africa, Rest of MEA)
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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 global Artificial Intelligence in Agriculture market is broadly segmented on the basis of different product types, application range, end-use industries, key regions, and an intensely competitive landscape. This section of the report is solely targeted at readers looking to select the most appropriate and lucrative segments of the Artificial Intelligence in Agriculture sector in a strategic manner. The segmental analysis also helps companies interested in this sector make optimal business decisions and achieve their desired goals.
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.
Report Highlights:
- The report conducts a comparative assessment of the leading market players participating in the global Artificial Intelligence in Agriculture market.
- The report marks the notable developments that have recently taken place in the Artificial Intelligence in Agriculture industry
- It details on the strategic initiatives undertaken by the market competitors for business expansion.
- It closely examines the micro- and macro-economic growth indicators, as well as the essential elements of the Artificial Intelligence in Agriculture market value chain.
- The repot further jots down the major growth prospects for the emerging market players in the leading regions of the market.
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