The latest report, titled ‘Global Artificial Intelligence in Agriculture Market,’ comprises a profound analysis of the fundamental parameters contributing to the global Artificial Intelligence in Agriculture market scenario. The research report provides the reader with an in-depth interpretation of the Artificial Intelligence in Agriculture market dynamics, including the crucial drivers, opportunities, threats, and challenges. The report also describes the key business strategies, demand and supply ratios, leading regions, and the renowned market players, in a nutshell, offering a futuristic outlook of the overall Artificial Intelligence in Agriculture industry. The market intelligence report is a prototype of the 360° overview of the global Artificial Intelligence in Agriculture industry, shedding light on the estimated market value, share, growth trends, gross revenue, competitive overview, prominent manufacturers and buyers, available product types, and end-use applications.
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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Competitive Landscape:
The latest study provides an insightful analysis of the broad competitive landscape of the global Artificial Intelligence in Agriculture market, emphasizing the key market rivals and their company profiles. A wide array of strategic initiatives, such as new business deals, mergers acquisitions, collaborations, joint ventures, technological upgradation, and recent product launches, undertaken by these companies has been discussed in the report. The report analyzes various elements of the market’s competitive scenario, such as the regulatory standards and policies implemented across the industry over recent years. Our team of experts has leveraged several powerful analytical tools, such as Porter’s Five Forces analysis and SWOT analysis, to deliver a comprehensive overview of the global Artificial Intelligence in Agriculture market and pinpoint the fundamental growth trends.
Companies Profiles:
Microsoft Corporation, Descartes Labs, Inc., Gamaya Inc., Precision Hawk, Connecterra B.V, Autonomous Tractor Corporation, Taranis, IBM Corporation, Granular Inc., and VineView
Global Artificial Intelligence in Agriculture Market Highlights:
- Regional demand estimation and forecast
- Product Mix Matrix
- RD Analysis
- Cost-Benefit Analysis
- Pre-commodity pricing volatility
- Supply chain optimization analysis
- Technological updates analysis
- Raw Material Sourcing Strategy
- Competitive Analysis
- Mergers Acquisitions
- Location Quotients Analysis
- Carbon Footprint Analysis
- Patent Analysis
- Vendor Management
Regional Segmentation:
- North America
- Latin America
- Europe
- Middle East Africa
- Asia Pacific
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
Product Type Outlook Application Areas:
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
Report Highlights:
- Besides offering a vivid depiction of the global Artificial Intelligence in Agriculture business sphere and its fundamental operations, the latest report provides the industrial chain analysis and list down the current and future market trends and growth opportunities.
- The report includes information on the present and historical market scenarios, which helps forecast the market conditions over the next eight years (2024-2032).
- The report scrutinizes the salient factors influencing the growth of the market in the near future.
- The strategic marketing recommendations, crucial information related to the new market entrants, and expansion plans of various businesses are poised to provide the reader with a competitive edge in the market.
Look Over transcripts provided by Emergen Research
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About Us:
Emergen Research is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyse consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trends existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.
