Al capabilities include real-time threat detection, behavioural analysis, and predictive incident monitoring that traditional systems do not. These upgrades not only ensure safety but also enhance operational efficiency, making Al-based surveillance an attractive means to protect people, property, and data. The rise in criminal activities and terrorism threats worldwide compels organisations and governments to adopt such advanced solutions, continuously expanding the Al video surveillance market.

Cloud-based systems offer real-time monitoring and improved response

The cloud-based segment is expected to witness a higher CAGR during the AI in video surveillance market forecast period. They offer remote access and real-time monitoring capabilities from anywhere. This is useful for organisations with spread-out locations or mobile security operations, which can be centrally managed and overseen from different locations. The cloud can analyse data in real time and send instant alerts to improve the responsiveness of security incidents and operational issues. The demand for accessible and flexible surveillance management is also one of the factors pushing the trend toward mobile and remote work environments.

Advanced computer vision offers many growth opportunities

The adoption of computer vision technology in AI-driven video surveillance is driven by its advanced capabilities such as object detection, facial recognition, activity analysis, and anomaly detection with high accuracy. This technology enhances situational awareness, automates routine monitoring tasks, and provides real-time actionable insights. Growing demand for intelligent systems in security, traffic management, retail analytics, and smart city initiatives further accelerates its integration because computer vision allows scalable and efficient solutions for complex surveillance challenges.

AI and video analytics provide advanced capabilities

The software segment is projected to hold the largest market share during the forecast period. The need for smart and more efficient surveillance solutions has created the demand to adopt video management systems based on artificial intelligence and video analytics software. These systems provide advanced capabilities, including real-time analysis of data, behavioural insights, object detection, facial recognition, and automated alerts with increased situational awareness, making smarter decisions. Emerging smart cities, growing security concerns, and demands for easy-to-scale solutions are pushing for adopting these technologies as advancements in cloud and edge computing are generating agility and decreasing latency, presenting smooth adoption across the industry.

Geographical strength in Asia Pacific

The growth in AI adoption is rapid in the Asia Pacific region, driven by the increasing demand for video surveillance systems in China, India, and other countries. China is one of the largest consumers of video surveillance devices and systems globally. The country intends to set up AI-based video surveillance cameras using facial recognition technology in the most sensitive public areas to improve security and maintain social stability. Furthermore, the giant infrastructure projects underway in China are raising the need for high-definition surveillance systems that can produce clear images even in poor lighting.

Key players

Some of the leading players in the AI in video surveillance market, and cited by the researchers in the report, include Hikvision, Dahua, Motorola, Milestone, Sensetime, Irisity, NEC, Axis, Genetec, Hanwha Vision, Briefcam, Mobotix, Teledyne Flir, Honeywell, Vivotek, Verkada, Morphean, Bosch, I-Pro, Camcloud, Ivideon, annd Hakimo, amongst others.