Us Artificial Intelligence (AI) in Precision Farming Market Size By Applications, By Type, By End-User, By Deployment & By Technology 2032
Artificial Intelligence (AI) in Precision Farming Market was valued at USD 1.5 Billion in 2022 and is projected to reach USD 6.0 Billion by 2030, growing at a CAGR of 18.5% from 2024 to 2030.
The US Artificial Intelligence (AI) in Precision Farming Market is experiencing significant growth, driven by increasing demand for sustainable farming practices and the need for more efficient crop management. As AI technologies such as machine learning, computer vision, and robotics continue to evolve, farmers are leveraging these innovations to optimize crop yields, reduce resource usage, and improve overall farm productivity. According to recent reports, AI adoption in the US agricultural sector is expected to grow at a rapid pace, with the market value reaching billions of dollars in the coming years. This surge is fueled by advancements in AI-powered tools that enable precision farming techniques, such as soil health monitoring, pest detection, and automated irrigation systems. AI technologies enable farmers to make data-driven decisions, reducing the reliance on traditional methods and allowing them to track real-time conditions across their fields. By utilizing sensors, drones, and satellite imagery, AI can analyze vast amounts of data, providing actionable insights that help farmers detect crop diseases earlier, predict optimal harvest times, and identify areas in need of fertilizer or water. As a result, precision farming not only increases yields but also reduces the environmental impact of farming practices, supporting sustainable agriculture initiatives. AI's influence in the precision farming market extends to crop management systems, machinery automation, and supply chain optimization. Smart tractors and robotic harvesters are just a few examples of how AI is revolutionizing farming processes, making them more efficient and cost-effective. With AI-powered decision support systems, farmers can streamline operations, reduce waste, and cut down on labor costs. Furthermore, AI tools that provide predictive analytics are helping farmers anticipate market trends and make smarter decisions regarding crop pricing and distribution. While the integration of AI in precision farming continues to progress, challenges related to technology adoption, high upfront costs, and the need for digital literacy among farmers still exist. However, the long-term benefits—such as increased crop yield, reduced waste, and a sustainable future for agriculture—make AI in precision farming a key area of interest for investors, technology providers, and farmers alike. In this dynamic landscape, AI’s role is likely to expand further, revolutionizing how agriculture is practiced in the US and globally.
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Microsoft
IBM
Intel
SAP
Agribotix
The Climate Corporation
Taranis
aWhere
Precision Hawk
DTN
Resson
Vision Robotics
CropX
John Deere
Gamaya
Cainthus
Harvest Croo Robotics
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By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the Global Artificial Intelligence (AI) in Precision Farming Market
Machine Learning
Computer Vision
Internet of Things (IoT)
Big Data Analytics
Robotics and Automation
Crop Management
Soil Management
Yield Monitoring
Pest Management
Irrigation Management
Weather Prediction
Small Scale Farms
Medium Scale Farms
Large Scale Farms
On-Premise
Cloud-Based
Hybrid
Farmers
Agricultural Consultants
Agribusiness Corporations
Government Agencies
Research Institutions
Global (United States, Global and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the Global Artificial Intelligence (AI) in Precision Farming Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. Global Artificial Intelligence (AI) in Precision Farming Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global Artificial Intelligence (AI) in Precision Farming Market, By Type
6. Global Artificial Intelligence (AI) in Precision Farming Market, By Application
7. Global Artificial Intelligence (AI) in Precision Farming Market, By Geography
Global
Europe
Asia Pacific
Rest of the World
8. Global Artificial Intelligence (AI) in Precision Farming Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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