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Artificial Intelligence in Agriculture Market Thriving at a Tremendous Growth | Deere & Company, Precision Hawk Inc., Granular, Inc.
Artificial Intelligence in Agriculture Market
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Global Artificial Intelligence in Agriculture Market is valued at approximately USD 1.0 billion in 20211 and is anticipated to grow with a healthy growth rate of more than 25.5% over the forecast period 2022-2028. Artificial Intelligence in Agriculture describes as the adoption of novel and advancing technologies to solve traditional farming complications. AI systems aids to boost harvest quality and accuracy, which is also known as precision agriculture. In addition, it also detects any disease in plants, pests, and poor nutrition of farms, and can also target weeds and decide which herbicide to use in the area. The rising deployment of data generation through sensors and aerial images for crops, as well as regulatory support to adopt modern agricultural techniques are stimulating the market demand. Moreover, the growing population is putting strain on the global food supply chain, which is leading the higher crop production. According to the united nation, there are nearly 7.3 billion people around the world and it is expected to rise to around 9.7 billion people by 2050. Therefore, these factors may boost the global market demand in the near future. However, high costs are involved for gathering precise field data impedes the growth of the market over the forecast period of 2022-2028. Also, the rising adoption of AI solutions to manage small farms (less than 5 hectares) is anticipated to act as a catalyzing factor for the market demand during the forecast period.
The key regions considered for the Global Artificial Intelligence in Agriculture Market study include Asia Pacific, North America, Europe, Latin America and Rest of the World. Europe is the leading region across the world in terms of market share owing to the rising inclination towards the monitoring and reporting tools for indoor and outdoor farms and growing need for the visualization of overall crop production by using computer vision and AI. Whereas, Asia-Pacific is also anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as the highest crop production in the regions such as India and China, as well as rising government support for the adoption of novel agricultural techniques would create lucrative growth prospects for Artificial Intelligence in Agriculture market across the Asia-Pacific region.
Major market players included in this report are:
• International Business Machines Corp. (IBM)
• Microsoft Corporation
• Vision Robotics Corporation
• Deere & Company
• Precision Hawk Inc.
• Granular, Inc.
• Cainthus Corporation
• The Climate Corporation
• Vision Robotics Corporation
• Descartes Labs, Inc.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Technology
Machine Learning
Computer Vision
Predictive Analytics
By Offering:
Hardware
Software
AI-as-a-Service
Services
By Application
Precision Farming
Agriculture Robots
Livestock Monitoring
Drone Analytics
Labor Management
Others
Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan
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Changing Forecasts in a Time of Crisis: explores key issues, including:
• Future changes in consumer behavior
• High-frequency economic data
• Mapping Out a Potential Recovery
• Business Strategies During COVID-19
• Near & Long Term Risk Outlook, Risk Assessment and Opportunities
Key questions answered: The Study Explore COVID 19 Outbreak Impact Analysis
• Market size and growth rate during forecast period.
• Key factors driving the Market.
• Key market trends cracking up the growth of the Market.
• Challenges to market growth.
• Key vendors of Market.
• Detailed SWOT analysis.
• Opportunities and threats faces by the existing vendors in Global Market.
• Trending factors influencing the market in the geographical regions.
• Strategic initiatives focusing the leading vendors.
• PEST analysis of the market in the five major regions.
• What should be entry strategies, countermeasures to economic impact, and marketing channels?
• What are market dynamics?
• What are challenges and opportunities?
• What is economic impact on market?
• What is market chain analysis by upstream raw materials and downstream industry?
• What is industry considering capacity, production and production value? What will be the estimation of cost and profit? What will be market share, supply and consumption? What about import and export?
• What is current market status? What's market competition in this industry, both company, and country wise? What's market analysis by taking applications and types in consideration?
• What were capacity, production value, cost and profit?
• Who are the global key players in this industry? What are their company profile, their product information, and contact information?
• Which manufacturing technology is used, what are their company profile, their product information, and contact information?
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Key Points Covered in Artificial Intelligence in Agriculture Market Report:
Chapter 1, to describe Definition, Specifications and Classification of Global Artificial Intelligence in Agriculture, Applications of , Market Segment by Regions;
Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;
Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of , Capacity and Commercial Production Date, Manufacturing Plants Distribution, Export & Import, R&D Status and Technology Source, Raw Materials Sources Analysis;
Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);
Chapter 5 and 6, to show the Regional Market Analysis that includes United States, EU, Japan, China, India & Southeast Asia, Segment Market Analysis (by Type);
Chapter 7 and 8, to explore the Market Analysis by Application Major Manufacturers Analysis;
Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type, Market Trend by Application;
Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;
Chapter 11, to analyze the Consumers Analysis of Global Artificial Intelligence in Agriculture by region, type and application;
Chapter 12, to describe Artificial Intelligence in Agriculture Research Findings and Conclusion, Appendix, methodology and data source;
Chapter 13, 14 and 15, to describe Artificial Intelligence in Agriculture sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
Continued….
……..and view more in complete table of Contents
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