The latest market intelligence report, titled ‘Global Artificial Intelligence in Agriculture Market’, is intended to provide the target audience with the necessary information about the global Artificial Intelligence in Agriculture industries. The report comprises a detailed analysis of the vital elements of the Artificial Intelligence in Agriculture market, including key drivers, constraints, opportunities, limitations, threats, and micro- and macro-economic factors. The report carefully investigates the present market scenario and the fundamental growth prospects. The report entails an organized database of the Artificial Intelligence in Agriculture market dynamics that helps market analysts estimate the global market growth rate over the projected timeline. As a result, the report, released by Emergen Research, is a thorough compilation of the essential elements of the Artificial Intelligence in Agriculture market, including the major market segments, top competitors, their company profiles, pricing strategies, production capabilities, revenue generation plans, technological advancements, and many others. It also includes the key players’ product offerings, the broad application range of these products, the major market segments, and many others. The epidemic has had a significant impact on the world economy, which has disrupted the way the Artificial Intelligence in Agriculture market functions. Organizations have been forced by the severe global crisis to effectively adapt to the quickly changing business environment. The study also assesses the pandemic’s initial and long-term effects on 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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This report is the latest document encompassing the massive changes that took place in the Artificial Intelligence in Agriculture market following the emergence. The pandemic has drastically affected the global economic landscape, thereby disrupting the operating mechanism of the Artificial Intelligence in Agriculture market. The severe global crisis has prompted organizations to efficiently respond to the rapidly shifting business environment.
- 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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