AI Video Analytics for Smart Cities Market

The AI video analytics for smart cities market is projected to reach USD 28.76 billion by 2030 from an estimated USD 8.50 billion in 2025, growing at a CAGR of 27.6% during the forecast period. AI-powered video analytics is transforming urban environments by enabling real-time intelligent surveillance, traffic optimization, crowd management, incident detection, environmental monitoring, and public safety enhancement across smart city infrastructure. The market is driven by the proliferation of smart city initiatives globally, rapid advancements in deep learning and computer vision, the increasing deployment of edge AI cameras, and rising government investments in urban safety and intelligent transportation systems. Modern AI video analytics platforms process video feeds from millions of urban cameras using convolutional neural networks (CNNs), transformer-based vision models, and multi-modal AI to detect anomalies, classify objects, track movements, predict incidents, and generate actionable insights for city operators in real time. The global smart cities market is projected to experience strong growth by 2030, with intelligent transportation and public safety representing the fastest-growing segments, driving demand for AI video analytics. Edge AI processing is enabling real-time alerts directly at the camera level, reducing bandwidth requirements and latency while improving privacy through on-device data processing. The integration of video analytics with IoT sensors, 5G connectivity, and integrated command centers is creating comprehensive urban intelligence platforms that improve governance, resilience, and citizen experience.

Some major players in the AI video analytics for smart cities market include Hikvision (China), Dahua Technology (China), Motorola Solutions (Avigilon) (US), Honeywell International (US), Huawei Technologies (China), NEC Corporation (Japan), Genetec (Canada), BriefCam (Canon) (Israel), Axis Communications (Sweden), and Milestone Systems (Canon) (Denmark). Motorola Solutions’ Avigilon platform leverages AI-powered self-learning analytics for real-time object detection, tracking, and anomaly detection across municipal surveillance networks. NEC provides biometric and video analytics solutions deployed across smart city projects globally, with its NeoFace technology supporting law enforcement and border control applications. Genetec’s Security Center platform provides a unified security operations foundation for smart cities, integrating video analytics with access control, ANPR, and IoT sensor data. For instance, in April 2023, Lumeo launched the Universal AI Bridge, allowing businesses to integrate AI-powered analytics into existing IP cameras. Hikvision and Dahua continue to expand their AI-powered camera portfolios with edge-embedded deep learning capabilities for traffic monitoring, crowd analytics, and incident detection.

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Motorola Solutions (Avigilon) is a leading player in the AI video analytics for smart cities market, providing AI-powered video security and analytics platforms for municipal, government, and critical infrastructure applications. Avigilon’s self-learning video analytics uses unsupervised machine learning to continuously improve detection accuracy without manual training, automatically classifying objects and detecting unusual activity across large-scale urban camera networks. The platform’s integration with Motorola’s communications infrastructure, body cameras, and command center solutions creates a comprehensive public safety ecosystem.

Genetec is a prominent player in the AI video analytics for smart cities market, providing the Security Center unified security platform that integrates video surveillance, access control, automatic number plate recognition (ANPR), communications, and IoT analytics into a single operations interface. Genetec’s cloud-hybrid architecture enables scalable deployments across city-wide camera networks, while its privacy-by-design approach addresses growing concerns around surveillance ethics. The platform is deployed across major smart city projects in North America, Europe, and the Asia Pacific.

Market Ranking

The AI video analytics for smart cities market is moderately fragmented, with Chinese manufacturers (Hikvision, Dahua) leading hardware shipments, while Western vendors (Motorola/Avigilon, Honeywell, Genetec, NEC) dominate high-value integrated platform deployments. The software segment accounts for the major share of the video analytics revenue. Cloud deployment is the fastest-growing model. North America holds the largest smart city video analytics revenue share, driven by advanced surveillance infrastructure and strong government investment. Asia Pacific is the fastest-growing region, driven by massive smart city buildouts in China, India, Singapore, and South Korea.

Related Reports:

AI Video Analytics for Smart Cities Market by Offering, Application (Public Safety & Law Enforcement, Intelligent Traffic Management), Deployment (On-Premises, Cloud, Hybrid), Vertical (Commercial, Government & Public Safety) - Global Forecast to 2030

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