Dublin, Jan. 08, 2025 (GLOBE NEWSWIRE) — The “United States AI in Agriculture Market, By Region, Competition, Forecast and Opportunities, 2019-2029F” report has been added to ResearchAndMarkets.com’s offering.
The United States AI in Agriculture Market was valued at USD 351.09 Million in 2023, and is expected to reach USD 705.74 Million by 2029, rising at a CAGR of 12.30%
Artificial Intelligence (AI) in agriculture represents the deployment of advanced technologies to improve crop yield, efficiency, and profitability. AI-driven models and tools facilitate precise farming methods, predicting weather patterns, and making sense of real-time data for better decision-making. Machine learning algorithms can identify potential diseases or pests, and automation technologies can perform mundane tasks, hence, improving overall agricultural productivity.
The AI in Agriculture market in the United States is a rapidly expanding sector, fueled by the country’s strong technological infrastructure and its vast agricultural industry. It encompasses a plethora of services, software, and hardware products designed to enhance productivity, efficiency, and sustainability in farming. Market players range from tech-startups innovating in niche areas like disease identification, to major companies providing comprehensive AI-based farm management systems.
In the dynamic landscape of agriculture, ensuring food security stands as a paramount concern. The United States AI in Agriculture market is witnessing a significant surge, fueled in part by the escalating demand for food security. Precision agriculture, empowered by AI technologies, addresses this challenge by optimizing crop yields. Through data-driven insights and predictive analytics, farmers can precisely manage resources such as water, fertilizers, and pesticides, ultimately enhancing productivity and contributing to food security objectives.
Market growth is driven by factors such as increasing food demand, the need for climate-smart agriculture, and the desire to streamline farming operations. This has led to a surge in the adoption of AI technologies such as machine learning, computer vision, and predictive analytics in various agricultural practices.
By integrating IoT sensors, drones, and satellite imagery, farmers gain granular insights into soil health, moisture levels, and plant conditions. This data-driven approach minimizes waste, conserves resources, and maximizes agricultural output, aligning with food security imperatives. Food security encompasses not only quantity but also accessibility. AI technologies democratize access to advanced agricultural practices, benefitting smallholder farmers. Cloud-based AI platforms and mobile applications provide affordable solutions for remote monitoring, crop management, and market access. By leveling the playing field, these technologies empower smallholder farmers to improve yields, increase incomes, and contribute to broader food security efforts.
Segmental Insights
Technology Insights
Based on the Technology, in the United States, the AI in Agriculture market is experiencing a significant growth in the application of Predictive Analytics. This cutting-edge technology is primarily being used to analyze complex patterns and trends from vast datasets, empowering farmers to make highly accurate forecasting decisions regarding crop yield and potential pest infestations.
Offering Insights
Based on the Offering, in the United States, the AI in Agriculture market is currently undergoing a remarkable transformation. The emergence of AI-As-A-Service as the dominant solution is surpassing traditional Hardware and Software options. This shift is primarily driven by the remarkable benefits offered by AI-As-A-Service models, which include unparalleled scalability, flexibility, and cost-effectiveness. One of the most significant advantages of AI-As-A-Service is its ability to enable even small-scale farmers to leverage the power of AI. Previously, high upfront costs posed a significant barrier for these farmers to adopt AI technologies. However, with AI-As-A-Service, they can now gain access to advanced capabilities without the burden of hefty initial investments.
Key Attributes:
| Report Attribute | Details |
| No. of Pages | 85 |
| Forecast Period | 2023 – 2029 |
| Estimated Market Value (USD) in 2023 | $351.09 Million |
| Forecasted Market Value (USD) by 2029 | $705.74 Million |
| Compound Annual Growth Rate | 12.3% |
| Regions Covered | United States |
Competitive Landscape
Detailed analysis of the major companies present in the United States AI in Agriculture Market.
- International Business Machines Corporation (IBM)
- Granular, Inc.
- Microsoft
- Deere & Company
- Awhere Inc.
- Climate LLC.
- Agribotix, LLC
- Descartes Labs Inc.
- Valmont Industries, Inc.
Key Topics Covered:
1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. Executive Summary
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends
4. Voice of Customer
5. United States AI in Agriculture Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Technology (Machine Learning, Predictive Analytics and Computer Vision)
5.2.2. By Offering (Hardware, Software and AI-As-A-Service)
5.2.3. By Application (Precision Farming, Livestock Monitoring, Agriculture Robots, Drone and Others)
5.2.4. By Region
5.2.5. By Company (2023)
5.3. Market Map
6. North-East AI in Agriculture Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Technology
6.2.2. By Offering
6.2.3. By Application
7. Mid-West AI in Agriculture Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Technology
7.2.2. By Offering
7.2.3. By Application
8. West AI in Agriculture Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Technology
8.2.2. By Offering
8.2.3. By Application
9. South AI in Agriculture Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Technology
9.2.2. By Offering
9.2.3. By Application
10. Market Dynamics
10.1. Drivers
10.2. Challenges
11. Market Trends & Developments
11.1. Recent Development
11.2. Mergers & Acquisitions
11.3. Product Launches
12. Policy & Regulatory Landscape
13. United States Economic Profile
14. United States AI in Agriculture Market: SWOT Analysis
15. Porter’s Five Forces Analysis
15.1. Competition in the Industry
15.2. Potential of New Entrants
15.3. Power of Suppliers
15.4. Power of Customers
15.5. Threat of Substitute Products
16. Competitive Landscape
16.1. Business Overview
16.2. Product & Services
16.3. Recent Developments
16.4. Financials (As Reported)
16.5. Key Personnel
For more information about this report visit https://www.researchandmarkets.com/r/w0el18
About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.
- U.S. AI in Agriculture Market
