AI Video Analytics for Smart Cities Market Size, Share, Trend, Forecast Report 2026 to 2035
Market Segmentation:
AI Video Analytics for Smart Cities Market by Offering-
• Hardware
• Software
• Services
AI Video Analytics for Smart Cities Market by Application -
• Public Safety & Law Enforcement
• Intelligent Traffic Management
• Smart Transportation & Transit Monitoring
• Critical Infrastructure Protection
• Environmental & Waste Management Monitoring
• Retail & Commercial Area Analytics
• Other Applications
AI Video Analytics for Smart Cities Market by System Type-
• IP Video Surveillance Systems
• Analog Video Surveillance Systems
• Hybrid Video Surveillance Systems
AI Video Analytics for Smart Cities Market by Analytics Type-
• Real-time Analytics
• Post-Incident/Forensic Analytics
• Predictive Analytics
AI Video Analytics for Smart Cities Market by Deployment Mode-
• On-Premises
• Cloud-Based
• Hybrid
• Edge-Based
AI Video Analytics for Smart Cities Market by Verticals-
• Commercial, Governement & Public Safety
• Transportation & Logistics
• Infrastructure & Utilities
• Industrial & Manufacturing
• Residential & Smart Buildings
• Defense & Military
• Healthcare & Education
• Other Verticals
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI Video Analytics for Smart Cities Market Snapshot
Chapter 4. Global AI Video Analytics for Smart Cities Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2026-2035
4.8. Global AI Video Analytics for Smart Cities Market Penetration & Growth Prospect Mapping (US$ Mn), 2025-2035
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2025)
4.10. Use/impact of AI on AI VIDEO ANALYTICS FOR SMART CITIES MARKET Industry Trends
Chapter 5. AI Video Analytics for Smart Cities Market Segmentation 1: By Component, Estimates & Trend Analysis
5.1. Market Share by Component, 2025 & 2035
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following Component:
5.2.1. Software
5.2.2. Hardware
5.2.3. Services
Chapter 6. AI Video Analytics for Smart Cities Market Segmentation 2: By System Type, Estimates & Trend Analysis
6.1. Market Share by System Type, 2025 & 2035
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following System Type:
6.2.1. IP Video Surveillance Systems
6.2.2. Analog Video Surveillance Systems
6.2.3. Hybrid Video Surveillance Systems
Chapter 7. AI Video Analytics for Smart Cities Market Segmentation 3: By Analytics Type, Estimates & Trend Analysis
7.1. Market Share by Analytics Type, 2025 & 2035
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following Analytics Type:
7.2.1. Real-Time Analytics
7.2.2. Post-Incident/Forensic Analytics
7.2.3. Predictive Analytics
Chapter 8. AI Video Analytics for Smart Cities Market Segmentation 4: By Application, Estimates & Trend Analysis
8.1. Market Share by Application, 2025 & 2035
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following Application:
8.2.1. Public Safety & Law Enforcement
8.2.2. Intelligent Traffic Management
8.2.3. Smart Transportation & Transit Monitoring
8.2.4. Critical Infrastructure Protection
8.2.5. Environmental & Waste Management Monitoring
8.2.6. Retail & Commercial Area Analytics
8.2.7. Other Applications
Chapter 9. AI Video Analytics for Smart Cities Market Segmentation 5: By Deployment Mode, Estimates & Trend Analysis
9.1. Market Share by Deployment Mode, 2025 & 2035
9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following Deployment Mode:
9.2.1. On-Premises
9.2.2. Cloud-Based
9.2.3. Hybrid
9.2.4. Edge-Based
Chapter 10. AI Video Analytics for Smart Cities Market Segmentation 6: By Vertical, Estimates & Trend Analysis
10.1. Market Share by Vertical, 2025 & 2035
10.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following Vertical:
10.2.1. Commercial
10.2.2. Government & Public Safety
10.2.3. Transportation & Logistics
10.2.4. Infrastructure & Utilities
10.2.5. Industrial & Manufacturing
10.2.6. Residential & Smart Buildings
10.2.7. Defense & Military
10.2.8. Healthcare & Education
10.2.9. Other Verticals
Chapter 11. AI Video Analytics for Smart Cities Market Segmentation 7: Regional Estimates & Trend Analysis
11.1. Global AI Video Analytics for Smart Cities Market, Regional Snapshot 2025 & 2035
11.2. North America
11.2.1. North America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Country, 2022-2035
11.2.1.1. US
11.2.1.2. Canada
11.2.2. North America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Component, 2022-2035
11.2.3. North America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by System Type, 2022-2035
11.2.4. North America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Analytics Type, 2022-2035
11.2.5. North America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Application, 2022-2035
11.2.6. North America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2022-2035
11.2.7. North America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Vertical, 2022-2035
11.3. Europe
11.3.1. Europe AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Country, 2022-2035
11.3.1.1. Germany
11.3.1.2. U.K.
11.3.1.3. France
11.3.1.4. Italy
11.3.1.5. Spain
11.3.1.6. Rest of Europe
11.3.2. Europe AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Component, 2022-2035
11.3.3. Europe AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by System Type, 2022-2035
11.3.4. Europe AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Analytics Type, 2022-2035
11.3.5. Europe AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Application, 2022-2035
11.3.6. Europe AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2022-2035
11.3.7. Europe AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Vertical, 2022-2035
11.4. Asia Pacific
11.4.1. Asia Pacific AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Country, 2022-2035
11.4.1.1. India
11.4.1.2. China
11.4.1.3. Japan
11.4.1.4. Australia
11.4.1.5. South Korea
11.4.1.6. Hong Kong
11.4.1.7. Southeast Asia
11.4.1.8. Rest of Asia Pacific
11.4.2. Asia Pacific AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Component, 2022-2035
11.4.3. Asia Pacific AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by System Type, 2022-2035
11.4.4. Asia Pacific AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts By Analytics Type, 2022-2035
11.4.5. Asia Pacific AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Application, 2022-2035
11.4.6. Asia Pacific AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2022-2035
11.4.7. Asia Pacific AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Vertical, 2022-2035
11.5. Latin America
11.5.1. Latin America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Country, 2022-2035
11.5.1.1. Brazil
11.5.1.2. Mexico
11.5.1.3. Rest of Latin America
11.5.2. Latin America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Component, 2022-2035
11.5.3. Latin America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by System Type, 2022-2035
11.5.4. Latin America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Analytics Type, 2022-2035
11.5.5. Latin America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Application, 2022-2035
11.5.6. Latin America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2022-2035
11.5.7. Latin America AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Vertical, 2022-2035
11.6. Middle East & Africa
11.6.1. Middle East & Africa AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by country, 2022-2035
11.6.1.1. GCC Countries
11.6.1.2. Israel
11.6.1.3. South Africa
11.6.1.4. Rest of Middle East and Africa
11.6.2. Middle East & Africa AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Component, 2022-2035
11.6.3. Middle East & Africa AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by System Type, 2022-2035
11.6.4. Middle East & Africa AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Analytics Type, 2022-2035
11.6.5. Middle East & Africa AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Application, 2022-2035
11.6.6. Middle East & Africa AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2022-2035
11.6.7. Middle East & Africa AI Video Analytics for Smart Cities Market Revenue (US$ Million) Estimates and Forecasts by Vertical, 2022-2035
Chapter 12. Competitive Landscape
12.1. Major Mergers and Acquisitions/Strategic Alliances
12.2. Company Profiles
12.2.1. Hangzhou Hikvision Digital Technology Co., Ltd.
12.2.1.1. Business Overview
12.2.1.2. Key Type/Service
12.2.1.3. Financial Performance
12.2.1.4. Geographical Presence
12.2.1.5. Recent Developments with Business Strategy
12.2.2. Dahua Technology Co., Ltd
12.2.3. Motorola Solutions, Inc.
12.2.4. Honeywell International Inc.
12.2.5. Huawei Technologies Co., Ltd.
12.2.6. NEC Corporation
12.2.7. Genetec
12.2.8. BriefCam
12.2.9. Axis Communications
12.2.10. Milestone Systems
Research Design and Approach
This study employed a multi-step, mixed-method research approach that integrates:
- Secondary research
- Primary research
- Data triangulation
- Hybrid top-down and bottom-up modelling
- Forecasting and scenario analysis
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary Research
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Sources Consulted
Secondary data for the market study was gathered from multiple credible sources, including:
- Government databases, regulatory bodies, and public institutions
- International organizations (WHO, OECD, IMF, World Bank, etc.)
- Commercial and paid databases
- Industry associations, trade publications, and technical journals
- Company annual reports, investor presentations, press releases, and SEC filings
- Academic research papers, patents, and scientific literature
- Previous market research publications and syndicated reports
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary Research
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Stakeholders Interviewed
Primary interviews for this study involved:
- Manufacturers and suppliers in the market value chain
- Distributors, channel partners, and integrators
- End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
- Industry experts, technology specialists, consultants, and regulatory professionals
- Senior executives (CEOs, CTOs, VPs, Directors) and product managers
Interview Process
Interviews were conducted via:
- Structured and semi-structured questionnaires
- Telephonic and video interactions
- Email correspondences
- Expert consultation sessions
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
Data Processing, Normalization, and Validation
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
- Standardization of units (currency conversions, volume units, inflation adjustments)
- Cross-verification of data points across multiple secondary sources
- Normalization of inconsistent datasets
- Identification and resolution of data gaps
- Outlier detection and removal through algorithmic and manual checks
- Plausibility and coherence checks across segments and geographies
This ensured that the dataset used for modelling was clean, robust, and reliable.
Market Size Estimation and Data Triangulation
Bottom-Up Approach
The bottom-up approach involved aggregating segment-level data, such as:
- Company revenues
- Product-level sales
- Installed base/usage volumes
- Adoption and penetration rates
- Pricing analysis
This method was primarily used when detailed micro-level market data were available.
Top-Down Approach
The top-down approach used macro-level indicators:
- Parent market benchmarks
- Global/regional industry trends
- Economic indicators (GDP, demographics, spending patterns)
- Penetration and usage ratios
This approach was used for segments where granular data were limited or inconsistent.
Hybrid Triangulation Approach
To ensure accuracy, a triangulated hybrid model was used. This included:
- Reconciling top-down and bottom-up estimates
- Cross-checking revenues, volumes, and pricing assumptions
- Incorporating expert insights to validate segment splits and adoption rates
This multi-angle validation yielded the final market size.
Forecasting Framework and Scenario Modelling
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Forecasting Methods
- Time-series modelling
- S-curve and diffusion models (for emerging technologies)
- Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
- Price elasticity models
- Market maturity and lifecycle-based projections
Scenario Analysis
Given inherent uncertainties, three scenarios were constructed:
- Base-Case Scenario: Expected trajectory under current conditions
- Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
- Conservative Scenario: Slow adoption, regulatory delays, economic constraints
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.
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AI Video Analytics for Smart Cities Market Size is valued at USD 8.91 Bn in 2025 and is predicted to reach USD 108.11 Bn by the year 2035
AI Video Analytics for Smart Cities Market is expected to grow at a 28.6% CAGR during the forecast period for 2026 to 2035.
Motorola Solutions, Cisco Systems, Huawei Technologies, Axis Communications, Bosch Security Systems, Hanwha Vision, Hikvision, Dahua Technology, NVIDIA Corporation, IBM Corporation, NEC Corporation, Genetec Inc., Avigilon Corporation, BriefCam, Milestone Systems, Verint Systems, IntelliVision Technologies, VIVOTEK Inc., Qualcomm Technologies, Honeywell International, Teledyne FLIR, Senstar Technologies, Eagle Eye Networks, Irisity AB, AnyVision, iOmniscient, AxxonSoft, Infinova, Digital Barriers, and AllGoVision Technologies.
AI Video Analytics for Smart Cities Market is segmented into Offering, Application, System Type, Analytics Type, Deployment Mode, Vertical, and By Region
North America region is leading the AI Video Analytics for Smart Cities Market.