We have recently released a 250-page report from Emergen Research that includes 194 tables and 189 charts and graphics. Those who need commercial, in-depth market assessments for the global Artificial Intelligence in Agriculture Market, as well as a detailed market segment analysis, can find our new report valuable. Our recent study provides a thorough assessment of the whole regional and global market for keyword. To increase market share, obtain a comprehensive financial analysis of the whole market and its various segments. It is clear that energy storage technology is rapidly expanding. Look at how you might take advantage of the current and future revenue-generating opportunities in this industry.
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 industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.
The leading market contenders listed 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
The research study examines historic data from 2018 and 2020 to draw forecasts until 2028. The timeline makes the report an invaluable resource for readers, investors, and stakeholders looking for key insights in readily accessible documents with the information presented in the form of tables, charts, and graphs.
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The report bifurcates the Artificial Intelligence in Agriculture Market on the basis of different product types, applications, end-user industries, and key regions of the world where the market has already established its presence. The report accurately offers insights into the supply-demand ratio and production and consumption volume of each segment.
Segments Covered in this report are:
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
The research report offers a comprehensive regional analysis of the market with regards to production and consumption patterns, import/export, market size and share in terms of volume and value, supply and demand dynamics, and presence of prominent players in each market.
Regional Analysis Covers:
- 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)
Key Points Covered in This Section:
- Regional contribution
- Estimated revenue generation
- Vital data and information about the consumption rate in all the leading regional segments
- An expected rise in market share
- Forecast growth in the overall consumption rate
Key Objectives of the Report:
- Analysis and estimation of the Artificial Intelligence in Agriculture Market size and share for the projected period of 2020-2027
- Extensive analysis of the key players of the market by SWOT analysis and Porter’s Five Forces analysis to impart a clear understanding of the competitive landscape
- Study of current and emerging trends, restraints, drivers, opportunities, challenges, growth prospects, and risks of the global Artificial Intelligence in Agriculture Market
- Analysis of the growth prospects for the stakeholders and investors through the study of the promising segments
- Strategic recommendations to the established players and new entrants to capitalize on the emerging growth opportunities
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