AI In Video Surveillance Market To Reach $28.76 Billion By 2030

June 2025 | Report Format: Electronic (PDF)

AI In Video Surveillance Market Growth & Trends

The global AI in video surveillance market size is expected to reach USD 28.76 billion by 2030, registering to grow at a CAGR of 30.6% from 2025 to 2030 according to a new report by Grand View Research, Inc. Rapid advancements in deep learning and computer vision technologies have significantly improved the accuracy and capabilities of AI-powered video analytics. These technologies enable features like facial recognition, object detection, and behavior analysis, which are increasingly being integrated into video surveillance systems to enhance security and operational efficiency. Deep learning algorithms can analyze video footage in real time, detecting and identifying individuals, vehicles, and other objects with a high degree of accuracy. Computer vision techniques, such as object tracking and motion analysis, allow video surveillance systems to monitor and analyze complex scenes, providing valuable insights that can be used to improve security, optimize operations, and enhance decision-making.

Technological advancements have resulted in highly specialized surveillance cameras that can be programmed to zoom in and scan items, such as harmful equipment. These factors are driving the market for AI in video surveillance hardware. The development of high-resolution, low-light, and weatherproof cameras with advanced features like object tracking, facial recognition, and license plate recognition has significantly improved the capabilities of video surveillance systems. In addition, the integration of AI and machine learning algorithms into camera hardware has enabled real-time analytics and intelligent decision-making at the edge, reducing the need for constant data transmission to centralized servers or the cloud.

The North America AI-driven video surveillance market is expected to witness significant growth, driven by the increasing adoption of AI-powered surveillance systems. AI-driven video analytics can analyze vast amounts of video data in real time, enabling faster and more accurate threat detection and response. This trend is driven by the growing need for enhanced security and surveillance capabilities in various industries, including retail, healthcare, and finance. As a result, AI-powered surveillance systems are becoming increasingly popular among organizations seeking to improve their security and operational efficiency.

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AI In Video Surveillance Market Report Highlights

The hardware segment led the market and accounted for 40.48% of the global revenue in 2024. The growing demand for AI in video surveillance is driven by the increasing use of cameras deployed worldwide due to rising security concerns across multiple verticals.
The cloud segment has the highest revenue share in 2024. The adoption of cloud-based AI surveillance systems is driven by their capability for remote accessibility and real-time monitoring from any location.
The intrusion detection segment held the highest market share of the global revenue in 2024. Integrating cloud and edge computing with AI intrusion detection systems is becoming more prevalent, providing a balance between real-time processing and scalability.
The commercial segment has the highest revenue share in 2024. AI surveillance is increasingly being integrated with other smart building and business management systems, creating comprehensive, interconnected solutions.
North America dominated the market and accounted for a 33.6% share in 2024. This is due to a heightened focus on security, with AI providing businesses and governments with real-time threat detection and advanced analytical capabilities.

AI In Video Surveillance Market Segmentation

Grand View Research has segmented the global AI in video surveillance market report based on offering, deployment, end use, use cases and region:

AI In Video Surveillance Offering Outlook (Revenue, USD Million, 2018 - 2030)

Software
Hardware
Services

AI In Video Surveillance Deployment Outlook (Revenue, USD Million, 2018 - 2030)

On-premises
Cloud

AI In Video Surveillance End Use Outlook (Revenue, USD Million, 2018 - 2030)

Commercial
Residential
Military & Defense
Government & Public Facilities
Industrial

AI In Video Surveillance Use Cases Outlook (Revenue, USD Million, 2018 - 2030)

Weapon Detection
Facial recognition
Intrusion detection
Smoke & Fire Detection
Traffic Flow Analysis
Parking Monitoring
Vehicle Identification
Others (Anomaly detection and Behavior Recognition, Object detection and tracking, Industrial Temperature Monitoring)