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 behaviour analysis, which are increasingly being integrated into video surveillance systems to enhance security and operational efficiency. Deep learning algorithms can analyse 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, optimise operations, and enhance decision-making.

According to the analysts,technological advancements have resulted in highly specialised 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 centralised servers or the cloud.

Significant growth in North America 

Geographially, researchers expect the North America AI-driven video surveillance market to witness significant growth, driven by the increasing adoption of AI-powered surveillance systems. AI-driven video analytics can analyse 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 organisations seeking to improve their security and operational efficiency.

North America dominated the market and accounted for a 33.8% share in 2023. This is due to a heightened focus on security, with AI providing businesses and governments with real-time threat detection and advanced analytical capabilities. Further propelling this trend is the region's concentration of technology companies and the rise of smart city initiatives. As a result, AI in video surveillance is rapidly becoming an essential element of North American security infrastructure.

Key players

Some of the main players in this market, and mentioned in the research include companies such as, Teledyne, Axis, Bosch, Genetec, Honeywell, Huawei, Ivideo, Milestone, NEC, Panasonic, Sensen, and Vivotek.