U.S. Video-based Automatic Incident Detection Market to Grow at 14.5% CAGR, Driven by AI-enhanced Traffic Analytics | Persistence Market Research Report

Overview of the Market

The U.S. video-based automatic incident detection (AID) market is projected to grow from US$ 657.2 million in 2025 to US$ 1,650.39 million by 2032, registering a CAGR of 14.5% during the forecast period. The growth is largely driven by the integration of artificial intelligence (AI) and machine learning (ML) in video analytics, significantly improving the accuracy, efficiency, and speed of incident detection systems.

AI and ML-enhanced video analytics solutions are capable of detecting traffic incidents, including stopped vehicles, wrong-way drivers, and congestion anomalies, with accuracy rates exceeding 95%. By 2024, AI-powered video analytics accounted for approximately 65% of the total U.S. AID market, reflecting the rapid adoption of intelligent systems in traffic management and road safety applications.

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Key Highlights from the Market

• AI and ML integration has improved incident detection accuracy, reducing false positives and response times.
• Road traffic management dominates the application segment, with growing deployment in tunnels, railways, airports, and bridges.
• Policies such as Vision Zero and increased investments in Intelligent Transportation Systems (ITS) are accelerating market adoption.
• Expansion of smart city projects is driving integration of AID with IoT-enabled infrastructure for efficient traffic management.
• Software dominates the component segment, reflecting the increasing need for efficient traffic management solutions across the U.S.
• AI-driven systems can reduce response times by up to 30%, enhancing road safety and minimizing secondary accidents.

Market Segmentation

The U.S. AID market is segmented based on component, application, and technology type. By component, the market includes hardware and software solutions, with software leading due to the increasing need for real-time incident detection, analytics, and traffic management. Hardware includes cameras, sensors, and servers that support the AID infrastructure.

By application, the market is divided into road traffic management, railways, airports, and bridges. Road traffic management accounts for the largest share, driven by increasing traffic congestion, safety regulations, and smart city initiatives. Other applications, such as railway and airport surveillance, are witnessing adoption due to enhanced monitoring requirements and safety standards.

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Regional Insights

The United States dominates the North American AID market, supported by substantial investments in smart city projects, AI-enabled traffic monitoring systems, and ITS infrastructure. The country's strong focus on traffic safety, coupled with government initiatives like Vision Zero, ensures consistent demand for AID solutions.
Urban centers in the U.S. are increasingly adopting IoT-integrated video analytics systems to manage congestion, enhance emergency response, and improve road safety. The growing trend of smart city development is expected to further drive adoption of video-based AID technologies across metropolitan regions.

Market Drivers

The primary driver for the U.S. AID market is the increasing demand for road safety, reduced response times, and intelligent traffic management. AI and ML technologies enable real-time detection of traffic incidents, facilitating quicker emergency responses and minimizing secondary accidents. Additionally, policies and investments in smart city projects further accelerate market growth.

Market Restraints

High initial investment costs for AI-powered video analytics systems and the need for robust data infrastructure can limit adoption, particularly in smaller municipalities or underfunded areas. Data privacy concerns and the complexity of integrating legacy traffic systems also pose challenges.

Market Opportunities

The expansion of smart city initiatives, ITS infrastructure, and AI-powered predictive analytics offers significant growth opportunities. Integration with IoT devices, connected vehicles, and autonomous traffic management systems allows for real-time monitoring and decision-making, creating avenues for innovation in both urban and highway traffic management.

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Reasons to Buy the Report

✔ Comprehensive insights into market size, growth trends, and forecasts from 2025 to 2032.
✔ Detailed analysis of market drivers, restraints, and emerging opportunities.
✔ Segmentation insights based on component, application, and technology.
✔ Evaluation of key players and their strategic initiatives in the U.S. market.
✔ Actionable data for investment decisions and infrastructure planning.

Frequently Asked Questions (FAQs)

How Big is the U.S. Video-based Automatic Incident Detection Market?
Who are the Key Players in the U.S. Video-based Automatic Incident Detection Market?
What is the Projected Growth Rate of the Market?
What is the Market Forecast for 2032?
Which Application Segment is Estimated to Dominate the Market through the Forecast Period?

Company Insights

Key players operating in the U.S. video-based AID market include:

• FLIR Systems, Inc.
• Axis Communications AB
• Genetec Inc.
• Siemens AG
• Honeywell International Inc.
• Bosch Security Systems
• Cognitec Systems GmbH

Recent Developments:

1. FLIR Systems introduced AI-powered video analytics cameras for enhanced automatic incident detection on highways.

2. Siemens integrated ML-based AID solutions with smart city infrastructure in multiple U.S. metropolitan areas to improve traffic monitoring and safety.

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