AI in Agriculture market
According to HTF Market Intelligence, the Global AI in Agriculture market to witness a CAGR of 23.05% during the forecast period (2025-2030). The Latest Released AI in Agriculture Market Research assesses the future growth potential of the AI in Agriculture market and provides information and useful statistics on market structure and size.
This report aims to provide market intelligence and strategic insights to help decision-makers make sound investment decisions and identify potential gaps and growth opportunities. Additionally, the report identifies and analyses the changing dynamics and emerging trends along with the key drivers, challenges, opportunities and constraints in the AI in Agriculture market. The AI in Agriculture market size is estimated to increase by USD at a CAGR of 23.05% by 2030. The report includes historic market data from 2025 to 2030. The Current market value is pegged at USD .
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The Major Players Covered in this Report: The key players profiled in the report 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), Nument
Definition:
AI in Agriculture refers to the application of artificial intelligence technologies-such as machine learning, computer vision, robotics, and data analytics-to optimize and automate farming processes. This includes crop monitoring, soil analysis, predictive analytics, livestock management, pest control, and precision farming.
Market Trends:
Market Drivers:
• With growing populations, AI helps increase food production efficiently and sustainably.
Market Opportunities:
• AI helps in early disease detection and yield prediction, boosting food production.
Market Challenges:
• Rural areas often lack connectivity and digital tools to support AI implementation.
Market Restraints:
• Diverse crop types, farm sizes, and practices limit the scalability of uniform AI solutions.
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The titled segments and sub-sections of the market are illuminated below:
In-depth analysis of AI in Agriculture market segments by Types: by Type (Product, Hardware, Software, Service, Professional, Managed)
Detailed analysis of AI in Agriculture market segments by Applications: by Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Other)
Major Key Players of the Market: The key players profiled in the report 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), Nument
Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
– The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
– North America (United States, Mexico & Canada)
– South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
– Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
– Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
Objectives of the Report:
– -To carefully analyse and forecast the size of the AI in Agriculture market by value and volume.
– -To estimate the market shares of major segments of the AI in Agriculture market.
– -To showcase the development of the AI in Agriculture market in different parts of the world.
– -To analyse and study micro-markets in terms of their contributions to the AI in Agriculture market, their prospects, and individual growth trends.
– -To offer precise and useful details about factors affecting the growth of the AI in Agriculture market.
– -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the AI in Agriculture market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.
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)
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Key takeaways from the AI in Agriculture market report:
– Detailed consideration of AI in Agriculture market-particular drivers, Trends, constraints, Restraints, Opportunities, and major micro markets.
– Comprehensive valuation of all prospects and threats in the
– In-depth study of industry strategies for growth of the AI in Agriculture market-leading players.
– AI in Agriculture market latest innovations and major procedures.
– Favourable dip inside Vigorous high-tech and market latest trends remarkable the Market.
– Conclusive study about the growth conspiracy of AI in Agriculture market for forthcoming years.
Major questions answered:
– What are influencing factors driving the demand for AI in Agriculture near future?
– What is the impact analysis of various factors in the Global AI in Agriculture market growth?
– What are the recent trends in the regional market and how successful they are?
– How feasible is AI in Agriculture market for long-term investment?
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Major highlights from Table of Contents:
AI in Agriculture Market Study Coverage:
– It includes major manufacturers, emerging player’s growth story, and major business segments of AI in Agriculture Market Dynamics, Size, and Growth Trend 2025-2031 market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
– AI in Agriculture Market Dynamics, Size, and Growth Trend 2025-2031 Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
– AI in Agriculture Market Production by Region AI in Agriculture Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
Key Points Covered in AI in Agriculture Market Report:
– AI in Agriculture Overview, Definition and Classification Market drivers and barriers
– AI in Agriculture Market Competition by Manufacturers
– AI in Agriculture Capacity, Production, Revenue (Value) by Region (2025-2030)
– AI in Agriculture Supply (Production), Consumption, Export, Import by Region (2025-2030)
– AI in Agriculture Production, Revenue (Value), Price Trend by Type {by Type (Product, Hardware, Software, Service, Professional, Managed)}
– AI in Agriculture Market Analysis by Application {by Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Other)}
– AI in Agriculture Manufacturers Profiles/Analysis AI in Agriculture Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
– Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.
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This release was published on openPR.
