AI Video Analytics for Smart Cities Market
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
OVERVIEW
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
The global 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%. The AI Video Analytics in Smart Cities Market is witnessing strong growth due to increasing investments in smart city infrastructure, public safety modernization, and intelligent transportation systems. Cities are increasingly deploying AI-powered video analytics to enable real-time threat detection, traffic optimization, crowd monitoring, and critical infrastructure protection. Advancements in edge AI, cloud computing, 5G connectivity, and computer vision technologies are enhancing analytics capabilities and scalability.
KEY TAKEAWAYS
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BY OFFERINGBy offering, the hardware segment is expected to account for the largest market share in 2025, supported by widespread deployment of AI-enabled cameras, storage systems, monitoring equipment, and edge surveillance infrastructure across smart city projects.
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BY APPLICATIONBy application, the public safety and law enforcement segment is expected to hold the largest market share in 2025, owing to increasing demand for real-time threat detection, crime prevention, crowd monitoring, and emergency response management.
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BY SYSTEM TYPEBy system type, the IP video surveillance systems segment is expected to dominate the market in 2025 due to growing adoption of network-connected, AI-enabled surveillance architectures capable of supporting advanced analytics and centralized monitoring.
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BY ANALYTICS TYPEBy analytics type, the real-time analytics segment is expected to register the highest growth during the forecast period, driven by increasing demand for instant incident detection, traffic management, and proactive public safety operations.
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BY DEPLOYMENT MODEBy deployment mode, the edge-based segment is expected to grow at the highest CAGR during the forecast period due to its ability to deliver low-latency processing, reduced bandwidth requirements, and real-time decision-making capabilities.
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BY VERTICALBy vertical, the government and public safety segment is expected to dominate the AI Video Analytics in Smart Cities Market throughout the forecast period, supported by increasing investments in smart surveillance, city command centers, and critical infrastructure protection.
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COMPETITIVE LANDSCAPE - KEY PLAYERSAxis Communications AB, Motorola Solutions, Inc., Hangzhou Hikvision Digital Technology Co., Ltd., and Dahua Technology Co., Ltd. were identified as some of the key players in the AI Video Analytics in Smart Cities Market, given their extensive product portfolios, strong global presence, and broad smart surveillance offerings.
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COMPETITIVE LANDSCAPE - INNOVATORSBriefCam Ltd., Ipsotek Ltd., Axyon AI, Vaidio (IronYun), and Graymatics Pte. Ltd., among others, have established strong positions in specialized AI video analytics applications, highlighting their potential as emerging innovators within the smart city surveillance ecosystem.
Content
TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS
The AI Video Analytics in Smart Cities Market is undergoing significant transformation as traditional surveillance systems evolve into intelligent, AI-driven urban monitoring platforms. Revenue generation is shifting from conventional CCTV infrastructure and basic video management systems toward generative AI-powered video intelligence, edge analytics, and real-time threat detection solutions. Technology providers are increasingly serving smart city authorities, law enforcement agencies, transportation operators, utilities, and critical infrastructure managers seeking enhanced operational visibility. These deployments enable improved public safety, traffic optimization, infrastructure resilience, automated operations, and data-driven urban planning, positioning AI video analytics as a foundational technology for next-generation smart city ecosystems.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
MARKET DYNAMICS
Level
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Global smart city initiatives
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AI and deep learning advances in real-time computer vision
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Privacy concerns and surveillance ethics debates
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High infrastructure costs for city-wide camera deployment
Level
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Privacy-preserving AI and federated learning for urban analytics
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Digital twin cities combining video analytics with simulation
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Data governance and regulatory compliance across jurisdictions
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Interoperability across multi-vendor camera and platform environments
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Driver: Smart city initiatives
The global smart cities market is projected to exceed USD 3.7 trillion by 2030. Intelligent transportation and public safety are the fastest-growing segments, directly driving demand for AI video analytics infrastructure.
Restraint: Privacy concerns and surveillance ethics debates
AI-powered surveillance raises significant privacy and civil liberties concerns. GDPR in Europe and similar regulations worldwide require privacy-by-design approaches including data anonymization, access controls, and transparent use policies.
Opportunity: Digital twin cities combining video analytics with simulation
Digital twin platforms combining real-time video analytics with 3D city models enable simulation-based planning, predictive incident management, and optimized urban service delivery.
Challenge: Interoperability across multi-vendor camera and platform environments
Cities deploy cameras and analytics from multiple vendors, creating integration challenges. Open standards and unified command center platforms are critical for cross-vendor interoperability.
AI VIDEO ANALYTICS FOR SMART CITIES MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES
| COMPANY | USE CASE DESCRIPTION | BENEFITS |
|---|---|---|
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Self-learning video analytics for municipal surveillance; integration with body cameras, communications, and command centers; AI-powered anomaly detection | Self-learning AI | Public safety ecosystem | Command center |
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Security Center unified platform integrating video, ANPR, access control, and IoT for city-wide operations; cloud-hybrid architecture; privacy-by-design | Unified platform | ANPR integration | Privacy-by-design |
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Biometric and video analytics for smart cities; NeoFace facial recognition for law enforcement and border control; deployed across global smart city projects | Biometric leader | NeoFace technology | Global smart city deployments |
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AI-powered edge cameras with embedded deep learning for traffic monitoring, crowd analytics, and incident detection at city scale | Largest camera shipments | Edge AI embedded | City-scale deployment |
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Open platform network cameras with ACAP analytics framework; partner ecosystem enabling third-party AI apps on Axis hardware | Open platform | ACAP framework | Partner AI ecosystem |
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET ECOSYSTEM
The AI Video Analytics in Smart Cities Market ecosystem consists of hardware manufacturers, software and AI platform providers, system integrators, and end users working together to enable intelligent urban surveillance and monitoring. Hardware providers supply cameras, storage systems, and surveillance infrastructure, while software vendors deliver video management, computer vision, and AI analytics capabilities that convert video data into actionable insights. System integrators facilitate the deployment and integration of these solutions across smart city environments. End users, including municipal authorities, transportation agencies, and critical infrastructure operators, leverage these technologies to enhance public safety, optimize traffic management, improve operational efficiency, and support data-driven urban governance.
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET SEGMENTS
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
AI Video Analytics in Smart Cities Market, By Offering
Hardware is expected to hold the largest market share during the forecast period due to the extensive deployment of AI-enabled cameras, storage systems, monitoring equipment, and edge surveillance infrastructure across smart city projects. Growing investments in public safety modernization, intelligent transportation systems, and city-wide surveillance networks continue to drive demand for advanced hardware solutions. The expansion of smart city initiatives globally is further strengthening the segment’s market position.
AI Video Analytics in Smart Cities Market, By Application
Public Safety and Law Enforcement is expected to dominate the market due to increasing deployment of AI-powered surveillance systems for crime prevention, crowd monitoring, and emergency response management. Governments and law enforcement agencies are investing heavily in intelligent video analytics to enhance situational awareness and public safety outcomes. The growing need for proactive threat detection continues to support segment leadership.
AI Video Analytics in Smart Cities Market, By System Type
IP Video Surveillance Systems are expected to dominate the market due to their ability to support high-resolution video, remote accessibility, and advanced AI analytics capabilities. Smart city projects increasingly favor IP-based architectures for scalable and centralized monitoring operations. The rapid deployment of connected surveillance infrastructure is reinforcing segment leadership.
AI Video Analytics in Smart Cities Market, By Vertical
Government and Public Safety is expected to dominate the market due to extensive investments in surveillance infrastructure, crime prevention, emergency response, and smart city command centers. Public sector organizations remain the primary adopters of AI video analytics solutions worldwide. Increasing focus on urban security continues to drive segment growth.
REGION
North America holds the largest revenue share for AI video analytics in smart cities
North America is expected to dominate the AI Video Analytics in Smart Cities Market due to strong investments in smart city infrastructure, public safety modernization, and intelligent transportation systems. The region is witnessing rapid adoption of AI-powered surveillance, real-time video analytics, and edge-based monitoring solutions across municipal authorities, transportation agencies, and critical infrastructure operators.
AI VIDEO ANALYTICS FOR SMART CITIES MARKET: COMPANY EVALUATION MATRIX
In the AI Video Analytics in Smart Cities Market matrix, Motorola Solutions, Inc. emerges as a Star player due to its strong AI-powered video security portfolio, extensive market presence, and broad smart city surveillance capabilities. NEC Corporation is recognized as an Emerging Leader, supported by its expertise in AI, biometrics, and intelligent urban monitoring solutions, which are strengthening its position in smart city and public safety deployments.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
KEY MARKET PLAYERS
- Hangzhou Hikvision Digital Technology Co., Ltd. (China)
- Dahua Technology Co., Ltd (China)
- Motorola Solutions, Inc. (US)
- Honeywell International Inc. (US)
- Huawei Technologies Co., Ltd. (China)
- NEC Corporation (Japan)
- Genetec (Canada)
- BriefCam (Israel)
- Axis Communications (Sweden)
- Milestone Systems (Denmark)
MARKET SCOPE
| REPORT METRIC | DETAILS |
|---|---|
| Market Size in 2024 (Value) | USD 6.66 Billion |
| Market Size in 2025 (Value) | USD 8.50 Billion |
| Market Forecast in 2030 (Value) | USD 28.76 Billion |
| CAGR | CAGR of 27.6% from 2025-2030 |
| Years Considered | 2020-2030 |
| Base Year | 2024 |
| Forecast Period | 2025-2030 |
| Units | USD Billion |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends |
| Segments Covered |
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| Regions Covered | North America, Europe, Asia Pacific, RoW |
WHAT IS IN IT FOR YOU: AI VIDEO ANALYTICS FOR SMART CITIES MARKET REPORT CONTENT GUIDE
DELIVERED CUSTOMIZATIONS
We have successfully delivered the following deep-dive customizations:
| CLIENT REQUEST | CUSTOMIZATION DELIVERED | VALUE ADDS |
|---|---|---|
| City Government / Municipal Authority |
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Inform smart city AI video analytics procurement and command center platform selection |
| Law Enforcement / Public Safety Agency |
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Support public safety technology procurement with balanced capability and ethics assessment |
| Systems Integrator / Smart City Consultant |
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Inform smart city project design and vendor recommendation strategy |
| Smart City Investor |
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Support investment decisions in smart city AI video analytics startups and growth companies |
RECENT DEVELOPMENTS
- June 2025 : Genetec introduced new capabilities for its Security Center SaaS platform, enhancing support for direct-to-cloud cameras, edge recording, and third-party analytics integrations. The updates strengthen hybrid and cloud-based security operations while enabling scalable AI-powered video surveillance, forensic search, and intrusion monitoring for smart city and public safety applications.
- April 2025 : Hikvision launched its Guanlan Large-Scale AI Models, a new suite of vision, language, and multimodal AI models designed to power next-generation AIoT applications. The platform enhances intelligent video analytics capabilities through advanced perception, flexible deployment options, and scenario-based digitalization across smart city, transportation, and infrastructure environments.
- March 2025 : NEC Corporation India unveiled enhanced smart city solutions under its Global Smart City Suite, including integrated command and control, intelligent video analytics, citizen engagement, and operational management platforms. The launch aims to improve urban governance, operational visibility, and decision-making capabilities for governments and city authorities.
- March 2023 : Lumeo launched the Universal AI Bridge, enabling organizations to add cloud-based AI video analytics to existing IP cameras and NVRs without deploying additional hardware. The solution allows legacy surveillance infrastructure to leverage advanced capabilities such as facial recognition, license plate recognition, anomaly detection, and video verification through cloud-based analytics.
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