Emergen Research's Comprehensive Global Artificial Intelligence in Agriculture Market Research Report, added to its ever-expanding collection, contains insights into the Artificial Intelligence in Agriculture Market and its key components. The research offers perceptions on the drivers of market growth. Artificial Intelligence in Agricultures, company prospects, encouraging growth regions, and projected growth rates through 2030. This paper looks at other important characteristics of regional markets in addition to the drivers and restraints of revenue growth, production and consumption patterns, shifting consumer tastes, and strict regulatory standards. According to the analysis, one of the key factors for the market's likely fall in the upcoming years is the present pandemic. The pandemic has had a significant impact on business, which has negatively changed demand trends and market dynamics. The pandemic's financial challenges have slowed down corporate growth across the board and impacted international supply lines.
The study examines both the present environment and historical data to accurately forecast the keyword industry for the upcoming years. The research also offers a thorough analysis of the variables that may either help or impede market expansion in the upcoming years. The research provides a detailed analysis of the pandemic's overall impact on the Artificial Intelligence in Agriculture Market and its major categories. The paper also talks about how the pandemic has affected certain market segments. Additionally, it assesses the pandemic's present and potential effects on the 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.
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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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)
The report also studies the key companies of the Artificial Intelligence in Agriculture market along with analysis of their business strategies, MA activities, investment plans, product portfolio, financial standing, gross profit margin, and production and manufacturing capacities.
Some players analyzed 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 report further divides the Artificial Intelligence in Agriculture market into key segments such as types, applications, end-user industries, technologies, and key regions of the market. The report also sheds light on the segment and region exhibiting promising growth in the Artificial Intelligence in Agriculture market.
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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
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.
Key Questions Answered by the Report:
Which region is expected to dominate the market in the coming years?
What are the recent technological and product advancements occurring in the market?
What are the key strategies adopted by the prominent players in the Artificial Intelligence in Agriculture market?
What are the key product types and applications of the Artificial Intelligence in Agriculture industry?
What is the outcome of SWOT analysis and Porter’s Five Forces analysis?
How is the competitive landscape of the Artificial Intelligence in Agriculture market?
Who are the key players in the industry?
What is the growth rate of the industry over the coming years?
What will be the valuation of the Artificial Intelligence in Agriculture Market by 2027?
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