AI Video Analytics for Smart Cities Market Size, Share and Growth

The global AI video analytics for smart cities market is poised for significant growth, expanding from $8.50 billion in 2025 to $28.76 billion by 2030 at a CAGR of 27.6%. This surge is driven by massive investments in public safety modernization, intelligent transportation, and real-time threat detection capabilities. For the public safety technology sector, this represents a fundamental shift from passive surveillance to proactive, AI-driven urban monitoring platforms.

The market's rapid expansion is underpinned by a transition from traditional CCTV systems to intelligent platforms utilizing generative AI, edge analytics, and computer vision. Hardware currently holds the largest market share as cities deploy AI-enabled cameras, edge surveillance infrastructure, and advanced storage systems to support city-wide networks. This infrastructure is increasingly centered on IP Video Surveillance Systems, which offer the high-resolution video and remote accessibility required for centralized monitoring and sophisticated AI applications.

Public safety and law enforcement agencies are expected to dominate the market as primary end-users, leveraging these technologies for crime prevention, crowd monitoring, and emergency response management. The integration of digital twin platforms—which combine real-time video analytics with 3D city models—is enabling predictive incident management and more efficient urban service delivery. Major industry players like Motorola Solutions and NEC Corporation are leading this space, providing the AI-powered security portfolios and biometric expertise necessary for modern urban monitoring.

Despite the growth, the sector faces hurdles related to privacy regulations and system interoperability. Compliance with GDPR and similar global mandates requires a privacy-by-design approach, including data anonymization and strict access controls. Furthermore, as municipal authorities deploy hardware from multiple vendors, the industry is prioritizing open standards and unified command center platforms to ensure cross-vendor interoperability. Geographically, North America remains the leading region due to its aggressive adoption of real-time video analytics across transportation and critical infrastructure sectors.