Emergen Research's most recent study, “Global Artificial Intelligence in Agriculture Market - Forecast to 2030", provides a comprehensive analysis of current and potential developments in the global keyword market. The report was created after conducting a great deal of primary and secondary research with the intention of giving readers and businesses a competitive advantage over their counterparts in the sector. In the coming years, the report The report considers both the current situation and past data. The report provides detailed information on growth factors, opportunities, lucrative business outlook, promising growth areas and estimated growth rates through 2030. The current COVID-19 pandemic's movement restrictions and lockdowns are predicted to have a negative impact on the growth of the Artificial Intelligence in Agriculture business. The research also offers a thorough analysis of the variables that may either help or impede market expansion in the upcoming years. The study offers a thorough evaluation of the pandemic's overall effects on the Artificial Intelligence in Agriculture Market and its key categories. The article also discusses how specific market groups have been impacted by the pandemic. It also evaluates the implications of the pandemic, both now and in the future, on the keyword market. The current study gathers all of the most well-known companies in the industry, sales and distribution channels, regional reach, market share, and an estimated size of the market, together with revenue forecasts for the upcoming year. 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. - The report closely studies the growth trajectory of the global Artificial Intelligence in Agriculture market. It brings to light the global dominance of the leading regional segments, including North America, Asia Pacific, Europe, Latin America, and the Middle East & Africa.
North America (U.S., Canada) Europe (U.K., Italy, Germany, France, Rest of EU) Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC) Latin America (Chile, Brazil, Argentina, Rest of Latin America) Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA) Unfolding the prime factors prompting global market growth: - The study offers an in-depth analysis of the product outlook, which depicts the latest production growth trends and profit valuation. It further fragments the global Artificial Intelligence in Agriculture market into a broad product spectrum.
- The study covers essential data related to these products’ application landscape, the demand for and market share held by each application type, and their growth rate analysis over the estimated period.
- A detailed description of the distribution channels, including distributors, producers, and buyers, is one of the report’s key market highlights.
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)
- 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
- OthersElucidating the competitive landscape of the Global Artificial Intelligence in Agriculture Market:
- The global Artificial Intelligence in Agriculture market report offers viable insights into the competitive spectrum of the Artificial Intelligence in Agriculture business sphere.
- The report systematically profiles the company information of each market player.
- It identifies the estimated industry share, production facilities, development prospects, and geographies served by each market player.
- The study showcases the extensive product portfolios of the prominent market contenders.
- It offers critical data & information about the product application scope and the end-user landscape.
- The study provides salient information about the pricing models of the products offered by these companies. Moreover, it determines the gross profits and losses experienced by them throughout their market tenures.
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Опубликовано 2023-9-27 15:08:33
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