The report, entitled, "AI in Video Surveillance Market by Offering (AI Camera, PTZ, Dome, Bullet, Panoramic, Fisheye, AI-driven Video Analytics), Function (Training, Inference), Technology (Computer Vision, Deep Learning, Machine Learning, GenAI, NLP) – Global Forecast to 2032", suggests that one of the key factors propelling the AI in video surveillance market is the increasing adoption of intelligent monitoring and analytics technologies across sectors such as smart cities, transportation, retail, healthcare, critical infrastructure, and public safety worldwide.

Significant value and operational benefits

Organisations are increasingly deploying AI-enabled surveillance systems to enable real-time threat detection, improve situational awareness, and enhance operational efficiency. Furthermore, the integration of edge computing, cloud platforms, and IoT connectivity is adding significant value by enabling faster data processing, scalable deployments, and seamless system integration. The mounting demand for automated surveillance and reduced reliance on manual monitoring is also accelerating adoption. Additionally, high investments in smart infrastructure, urban safety initiatives, and digital transformation projects are boosting global demand. Apart from these developments, the strong focus on data security, regulatory compliance, and strategic collaborations among technology providers, system integrators, and government agencies across North America, Europe, and Asia Pacific continues to strengthen the robust performance of the global AI in video surveillance market.

Cloud-based applications bring highest growth

The cloud-based deployment segment is expected to witness the highest CAGR in the AI in video surveillance market during the forecast period due to its scalability, flexibility, and cost-efficiency. Organisations are increasingly adopting cloud platforms to store, manage, and analyse large volumes of video data without heavy infrastructure investments. The ability to access surveillance systems remotely, combined with seamless software updates and integration with AI analytics, is accelerating the demand, particularly among enterprises seeking centralised and data-driven security solutions.

Real-time response and reaction in critical scenarios

By function, the inference segment is expected to account for the largest share of the AI in video surveillance market in 2032 due to the growing need for real-time data processing and decision-making. Inference enables immediate analysis of video feeds to detect anomalies, recognise objects, and trigger alerts without latency. With the increasing deployment of edge devices and AI-enabled cameras, organisations are prioritising inference capabilities to enhance responsiveness, reduce bandwidth usage, and improve overall system efficiency in critical surveillance operations.

Key players

The AI in video surveillance market includes many major Tier I and II players, such as Hikvision, Dahua, Axis Communications, Motorola, Hanwha Vision, Milestone Systems, Irisity, NEC, Genetec, Mobotix, Teledyne, Honeywell, Vivotek, and I-Pro, to name a few. These players have a strong market presence in AI in video surveillance market across various countries in North America, Europe, Asia Pacific, and RoW.