AI in Agriculture Market Next Big Thing | Major Giants- IBM, Microsoft, NVIDIA

According to HTF Market Intelligence, the Global AI in Agriculture market to witness a CAGR of 22.34% during forecast period of 2023-2028. The market is segmented by Global AI in Agriculture Market Breakdown by Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Other) by Type (Product, Hardware, Software, Service, Professional, Managed) by Technology (Machine Learning, Computer Vision, Predictive Analytics) and by Geography (North America, South America, Europe, Asia Pacific, MEA). The AI in Agriculture market size is estimated to increase by USD 1501.61 Million at a CAGR of 22.34% from 2023 to 2028. The report includes historic market data from 2017 to 2022E. Currently, market value is pegged at USD 966.41 Million.

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AI in agriculture refers to the use of artificial intelligence (AI) technologies, such as machine learning, computer vision, and robotics, to improve farming practices, increase crop yields, and reduce the environmental impact of agriculture. AI in agriculture can be used for a wide range of applications, including crop monitoring, soil analysis, irrigation management, pest detection, and livestock management.
The AI in agriculture market refers to the market for products and services related to AI technologies in agriculture. This includes hardware such as sensors, drones, and robots, as well as software platforms and applications for data analysis and decision-making. The market has been growing rapidly in recent years as the agriculture industry seeks to adopt more efficient and sustainable farming practices.
The benefits of AI in agriculture include increased efficiency, reduced costs, and improved yields, as well as reduced environmental impact through more precise use of water and fertilizer, and reduced pesticide use. AI can also help farmers make more informed decisions by providing real-time data on crop health, weather conditions, and other factors that affect crop growth and yield. The market for AI in agriculture is expected to continue to grow as more farmers and agricultural companies adopt these technologies to improve their operations and meet the increasing demand for food production.

AI in Agriculture market - Key Segment Analysis

The market share growth by the by Application (Precision Farming , Livestock Monitoring , Drone Analytics , Agriculture Robots , Other Applications , By), Technology (Machine Learning, Computer Vision, Predictive Analytics), Offerings (Hardware, Software, AI-As-A-Service) segment will be significant during the forecast period. The segment is driven by the Rising Demand of Cattle Face Recognition Technology
Increasing Dependency on Machine Learning Based Technology, Growing Demand of Agriculture Production.

AI in Agriculture market - Competition Analysis
The global AI in Agriculture market is seeing several joint ventures to intensify the capability of manufacturers and/or companies to establish geographic footprints to new territory. The vendors are accelerating M&A strategies to expand their geographical reach, which is shaping the market toward new growth cycle. The list of players that are profiled in the study are IBM (United States), John Deere Company (United States), Intel (United States), Google (United States), Microsoft (United States), NVIDIA Corporation (United States), Sentient Technologies (United States), Numenta Inc. (United States), Agribotix (United States), The Climate Corporation (Subsidiary of Monsanto) (United States).

AI in Agriculture market - Geographical Outlook
North America will provide maximum growth opportunities in AI in Agriculture market. According to our research, the region will account for xx% of the global market growth during the forecast period. The market in North America is driven by Adoption of Advanced Robotic Technology
Introduction of IOT based technology.

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What key data is demonstrated in this AI in Agriculture market report?
• CAGR of the market during the forecast period
• Detailed information on factors that will drive the growth of the AI in Agriculture market between 2023 and 2028
• Precise estimation of the size of the AI in Agriculture market and its contribution to the parent market
• Accurate predictions about upcoming trends and changes in consumer behaviour
• Value in dollar term and growth of the market industry across APAC, Europe, North America, South America, and Middle East and Africa; further broken down by major country within region.
• Thorough analysis of the market's competitive landscape and detailed information about vendors
• Comprehensive analysis of factors that will challenge the growth of AI in Agriculture market players

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Some Extracts from Table of Content
Some Extracts from Table of Content
- Overview of AI in Agriculture Market
- Market dynamics
Growth Drivers, Market Trends, Opportunities and Challenges
- Five Forces Analysis
Bargaining power of buyers, bargaining power of suppliers, Threat of new entrants, Threat of substitutes, Threat of rivalry

- AI in Agriculture Size (USD & Sales Volume) Comparison by Type (2017-2028)
- AI in Agriculture Size (USD & Consumption) and Market Share Comparison by Application (2017-2028)
- AI in Agriculture Size (Value & Volume) Comparison by Region (2017-2028)
- Market Capacity, Production, Export-Import by Region (2017-2022E)
- AI in Agriculture Market Sales, Revenue and Growth Rate (2017-2028)
- Competitive Situation and Trends
- Market Positioning and Share Analysis (2020-2022E)
- Suppliers High-Performance Operational Base Distribution
- Analyse competitors, Profiles, Sales Area, Product Category
- AI in Agriculture Cost Analysis
- Marketing Strategy Analysis
- Research Conclusions

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