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AI Video Analytics for Smart Cities Market worth $28.76 billion by 2030 - Exclusive Report by MarketsandMarkets™DELRAY BEACH, Fla., June 10, 2026 /PRNewswire/ -- According to MarketsandMarkets™, the AI Video Analytics for Smart Cities Market is projected to reach USD 28.76 billion by 2030 from USD 8.50 billion in 2025, at a CAGR of 27.6%.
Browse 220 market data Tables and 60 Figures spread through 290 Pages and in-depth TOC on "AI Video Analytics for Smart Cities Market - Global Forecast to 2030" AI Video Analytics for Smart Cities Market Size & Forecast:
AI Video Analytics for Smart Cities Market Trends & Insights:
Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=244577801 Growth is driven by the rapid expansion of smart city initiatives, increasing public safety requirements, and growing investments in intelligent transportation and urban infrastructure modernization. Governments and municipal authorities are increasingly deploying AI-powered video analytics to enhance situational awareness, improve traffic management, strengthen security monitoring, and optimize emergency response capabilities. The proliferation of connected cameras, edge AI devices, IoT-enabled infrastructure, and high-speed connectivity technologies such as 5G is accelerating adoption across urban environments. Additionally, demand for real-time urban intelligence, predictive analytics, and automated incident detection is encouraging wider deployment of edge-to-cloud video analytics platforms across transportation hubs, public spaces, and critical infrastructure. Based on application, public safety, and surveillance, to exhibit the highest CAGR. Public safety and surveillance is expeced to register the highest growth within the AI video analytics for smart cities market due to increasing urban security concerns, rising investments in intelligent surveillance infrastructure, and the growing need for proactive threat detection. AI-powered video analytics solutions are increasingly deployed for real-time incident detection, crowd monitoring, suspicious behavior identification, traffic violation management, and emergency response optimization. The integration of facial recognition, anomaly detection, behavioral analytics, and edge AI technologies is enabling city authorities to improve situational awareness, reduce response times, and enhance citizen safety across transportation hubs, public spaces, and critical infrastructure environments. Inquiry Before Buying: https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=244577801 North America holds the largest share; Asia Pacific fastest-growing. North America accounts for the largest share of the AI video analytics for smart cities industry due to extensive deployment of advanced surveillance infrastructure, strong investments in public safety modernization, and the early adoption of AI-enabled urban management technologies. The region benefits from established smart city initiatives, widespread cloud adoption, and high spending on intelligent transportation systems. Meanwhile, Asia Pacific is projected to witness the fastest growth, driven by large-scale smart city projects, expanding urban populations, increasing government investments in digital infrastructure, and rising deployment of AI-enabled surveillance systems across countries such as China, India, Singapore, South Korea, and Japan. Key players operating in the AI video analytics for smart cities companies include Hikvision, Dahua, Motorola Solutions/Avigilon, Honeywell, Huawei, NEC, Genetec, BriefCam/Canon, Axis Communications, and Milestone Systems/Canon. These companies compete across AI-enabled surveillance hardware, video management software, cloud-based analytics platforms, and integrated smart city solutions. Market participants are increasingly focusing on edge AI capabilities, real-time analytics, intelligent transportation applications, and cloud-native architectures to strengthen their market positioning. Strategic partnerships with governments, municipalities, telecom providers, and smart infrastructure developers also remain critical for expanding deployments across urban surveillance and public safety ecosystems. 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