The Artificial Intelligence (AI) In Agriculture market 2023-2029 is an extensive market research report which provides industry analysis with a historical & futuristic outlook for the following parameters; market size, revenue, demand, and supply data. The report includes comprehensive information on the market drivers, key trends and challenges, a deep examination of technology trends, opportunities, value chains, future roadmaps, and strategies. The report consists of SWOT, PESTEL, and Porter’s 5-forces analysis frameworks. The analytical studies are conducted ensuring client needs with a thorough understanding of market capacities in the current scenario. This organization ensures qualified and verifiable aspects of market data operating in the real- time scenario.
Top Leading companies covered in this report: SGS, Eurofins, ALS Global, SUEZ Group, Creative Proteomics, Müller-BBM GmbH, E&H Services, Ecofficiency,
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Artificial Intelligence (AI) in Agriculture is mainly used for three applications: Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others. And Precision Farming was the most widely used area which took up about 35% of the global total.
United States is the largest consumption countries of Artificial Intelligence (AI) in Agriculture. North America market took up about 45% the global market, while Europe was about 24%.
IBM, Granular, John Deere, The Climate Corporation and Vision Robotics are the key suppliers in the global Artificial Intelligence (AI) in Agriculture market. Top 5 took up about 46% of the global market.
The Artificial Intelligence (AI) in Agriculture market is a rapidly growing industry with many players vying for market share. Here are some key points to consider in a competitive analysis of the AI in Agriculture market:
Artificial Intelligence holds the promise of driving an agricultural revolution at a time when the world must produce more food using fewer resources. – A robotic lens zooms in on the yellow flower of a tomato seedling. Images of the plant flow into an artificial intelligence algorithm that predicts precisely how long it will take for the blossom to become a ripe tomato ready for picking, packing, and the produce section of a grocery store.
Artificial Intelligence (AI) In Agriculture Market Segmentation:
Market Segmentation by Product Type
Machine Learning
Computer Vision
Predictive Analytics
Crucial Applications of the Artificial Intelligence (AI) In Agriculture Market are:
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Regional Outlook:
The report’s primary insights into various regions and the major companies involved in each one are provided in this section. When evaluating a region’s or country’s growth, economic, social, environmental, technological, and political issues have all been taken into account. Additionally, each country’s and region’s revenue and sales information for the years 2018 through 2029 will be made available to readers.
The market has been divided into four key regions: North America, Europe, Asia-Pacific, and South America. The regional part will include a thorough analysis of important nations like the United States, Germany, the United Kingdom, Italy, France, China, Japan, South Korea, Southeast Asia, and India. Data will be provided for the market estimations using 2022 as the base year, followed by estimates for 2023 and a forecast value for 2029.
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Key questions answered by this report
─What is the growth potential of the Artificial Intelligence (AI) In Agriculture market?
─Which product segment will take the lion’s share?
─Which regional market will develop as a pioneer in the coming years?
─Which application segment will experience strong growth?
─What growth opportunities might arise in the industry in the years to come?
─What are the most significant challenges that the Artificial Intelligence (AI) In Agriculture market could face in the future?
─Who are the leading companies in the Artificial Intelligence (AI) In Agriculture market?
─What are the leading trends that are completely impacting the growth of the market?
─What growth strategies are the players considering to stay in the Artificial Intelligence (AI) In Agriculture market?
Detailed TOC of Global Artificial Intelligence (AI) In Agriculture Market 2023 by Company, Regions, Type, and Application, Forecast to 2029
Chapter 1 Artificial Intelligence (AI) In Agriculture Market Overview
Chapter 2 Artificial Intelligence (AI) In Agriculture Market competition, Overview/Analysis, Strategies
Chapter 3 Market capacity, Production, Revenue (Value) by Regions (2023-2029)
Chapter 4 Artificial Intelligence (AI) In Agriculture Market Supply (Production), Consumption, Export, Import (2023-2029)
Chapter 5 Global Artificial Intelligence (AI) In Agriculture Market Regional Highlights
Chapter 6 Industry Chain, Sourcing Strategies and Downstream Buyers
Chapter 7 Marketing Strategy Analysis, Distributors/Traders
Chapter 8 Analysis of Market Influence Factors
Chapter 9 Market Decisions in Current Scenarios
Chapter 10 Global Artificial Intelligence (AI) In Agriculture Market Forecast (2023-2029)
Chapter 11 Case Studies
Chapter 12 Research Findings and Conclusions
“Russia-Ukraine War Impact 2022: Economic Sanctions Imposed by the United States & its Allies on the Russian Federation Negatively Affected the market
The economic sanctions imposed by the U.S. and its allies on the Russian Federation are expected to affect this industry’s growth. Furthermore, the war negatively affected the global industries leading to import and export flow disruptions. The dominance of Russia and roscosmos, a quasi-civilian space agency in the commercial space, affected alternative launch service providers in India, Japan, Europe, and the U.S. These factors negatively affected the market during the war.”
Conclusion: At the end of the Artificial Intelligence (AI) In Agriculture Market report, all findings and estimates are presented. It also includes key drivers and opportunities and regional analysis. The Segmental analysis is also provided in terms of type and application.
Customization of the report: The report can be customized according to the client’s requirements. Get in touch with our sales experts and we’ll make sure you get a report that fits your needs.
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