The report studies the impact of the COVID-19 pandemic on the Artificial Intelligence in Agriculture market and its crucial segments. The supply chain disruptions and economic instability have negatively impacted the growth of the market in several key regions. The report offers an in-depth analysis of the market size, market share, and market growth and its estimation through the forecast years on the basis of the COVID-19 crisis. The report examines the recent COVID-19 crisis and its impact on the global market. The report explores the present and future impact of the pandemic and provides an insight into the post-pandemic market scenario.
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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Key market aspects studied in the report:
Market Scope: The report explains the scope of various commercial possibilities in the global Artificial Intelligence in Agriculture market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.
Competitive Outlook: The leading companies operating in the Artificial Intelligence in Agriculture market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.
Report Objective: The primary objective of this report is to provide the manufacturers, distributors, suppliers, and buyers engaged in this sector with access to a deeper and improved understanding of the global Artificial Intelligence in Agriculture market.
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Competitive Terrain:
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.
Market Overview:
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.
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Segments Covered in this report are:
-
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
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)
Additional information offered by the report:
- Along with a complete overview of the global Artificial Intelligence in Agriculture market, the report provides detailed scrutiny of the diverse market trends observed on both regional and global levels.
- The report elaborates on the global Artificial Intelligence in Agriculture market size and share governed by the major geographies.
- It performs a precise market growth forecast analysis, cost analysis, and a study of the micro- and macro-economic indicators.
- It further presents a detailed description of the company profiles of the key market contenders.
Radical Highlights of the Artificial Intelligence in Agriculture Market Report:
- Comprehensive overview of the Artificial Intelligence in Agriculture market along with analysis of the changing dynamics of the market
- Growth Assessment of various market segments throughout the forecast period
- Regional and global analysis of the market players, including their market share and global position
- Growth strategies adopted by key market players to combat the impact of the COVID-19 pandemic on the market
- Impact of the technological developments and R&D advancements on the Artificial Intelligence in Agriculture market
- Information about profit-making strategies and developmental strategies of major companies and manufacturers
- Insightful information for the new entrants willing to enter the market
- Details and insights about business expansion strategies, product launches, and other collaborations
- The report incorporates advanced analytical tools such as SWOT analysis, Porter’s Five Forces Analysis, feasibility analysis, and investment return analysis
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