Our team of analysts has meticulously curated the Emerging Research publication titled “Global Artificial Intelligence in Agriculture Markets” to the reader's understanding and includes an industry distribution database overview. The research conducts a detailed analysis of historical and current market circumstances in order to precisely project the outlook of the Global Artificial Intelligence in Agriculture Market throughout the forecast period (2022–2030). Effective analytical tools like Porter's five forces and analysis are used in research to look at the benefits, drawbacks, opportunities, and dangers associated with entering new market segments. SWOT. The study focuses on potential growth opportunities and constraints that the leading industry participants might experience over the course of the full forecast period. To assist readers in developing successful investment plans, the research gives specific attention to rising business components, specialty industries, product launches, and brand promotions happening in the market. The global health crisis's impact on the market's overall growth is thoroughly examined in the research.
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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Some of the key participants in this industry include:
Microsoft Corporation, Descartes Labs, Inc., Gamaya Inc., Precision Hawk, Connecterra B.V, Autonomous Tractor Corporation, Taranis, IBM Corporation, Granular Inc., and VineView
Key regions covered in the report:
North America
Europe
Asia Pacific
Latin America
Middle East & Africa
Because there are so many businesses in this sector, the global market for keywords is very consolidated. These businesses are renowned for making significant investments in R&D initiatives. Additionally, they own a sizeable amount of the market share overall, which restricts the entry of new companies into the industry. The analysis on the worldwide keyword market examines the clever strategies used by the top market competitors, including joint ventures, partnerships, mergers, and acquisitions.
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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.
Valuable Market Insights:
The report highlights the latest trends observed in the consumption pattern of each regional segment.
Extensive market segmentation included in the report helps better understand the revenue and estimated growth of the individual regions.
The report throws light on the historical and current market scenarios and provides a concise year-on-year growth rate of the global Artificial Intelligence in Agriculture market.
The report further entails the current market trends, technological advancements, revenue growth, and other aspects affecting market growth.
Questions addressed in the report:
What is the estimated market growth rate throughout the forecast period?
Which end-use industry is expected to witness the highest demand for Artificial Intelligence in Agriculture in the near future?
What is the regulatory framework governing the application of Artificial Intelligence in Agriculture in the food industry?
Which manufacturing processes are utilized for the production of Artificial Intelligence in Agriculture?
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