AI in Video Surveillance Market Size, Share and Trends, 2025-2032
AI in Video Surveillance Market by Offering (AI Camera, PTZ, Dome, Bullet, Panoramic, Fisheye, AI-driven Video Analytics), Function (Training, Inference), Technology (Computer Vision, Deep Learning, Machine Learning, GenAI, NLP) – Global Forecast to 2032
OVERVIEW
The AI in video surveillance market is projected to reach USD 10.88 billion by 2032 from USD 4.04 billion in 2026, at a CAGR of 17.9% during the forecast period. The market is growing due to the increasing demand for real-time threat detection, smart city initiatives, and advanced analytics across sectors such as public safety, transportation, retail, and critical infrastructure, as organizations focus on enhancing security, improving operational efficiency, and enabling data-driven decision-making.
KEY TAKEAWAYS
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BY REGIONBy region, Asia Pacific is expected to dominate the AI in video surveillance market with a share of 45–50%, in terms of value, in 2026.
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BY OFFERINGBy offering, the software segment is expected to register the highest CAGR of 18–22% between 2026 and 2032.
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BY DEPLOYMENTBy deployment, the cloud-based segment is expected to register a CAGR of 17–22% during the forecast period.
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BY FUNCTIONBy function, the inference segment is expected to dominate the market from 2026 to 2032.
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BY TECHNOLOGYBy technology, the Generative AI segment is expected to record a CAGR of 25–30% during the forecast period.
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BY VERTICALBy vertical, the government & public facilities segment is expected to dominate the market during the forecast period.
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COMPETITIVE LANDSCAPE (KEY PLAYERS)Hangzhou Hikvision Digital Technology Co., Ltd. (China), Dahua Technology Co., Ltd. (China), Axis Communications AB (Sweden), Motorola Solutions, Inc. (US), and Hanwha Vision Co., Ltd. (South Korea) were identified as star players in the AI in video surveillance market due to their strong market share and extensive product footprint.
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COMPETITIVE LANDSCAPE (STARTUPS/SMES)Verkada Inc. (US), Morphean SA (Switzerland), Bosch Sicherheitssysteme GmbH (US), AxxonSoft (Ireland), and Camcloud (Canada) have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging market leaders in the AI in video surveillance market.
The AI in video surveillance industry is expanding as governments and enterprises invest in intelligent monitoring across public safety, transportation, retail, and smart cities, driven by the need for real-time threat detection and operational efficiency. Advancements in AI-driven video analytics, such as facial recognition and anomaly detection, are enhancing proactive security capabilities. Key players, including Hangzhou Hikvision Digital Technology Co., Ltd., Dahua Technology Co., Ltd., Axis Communications AB, Motorola Solutions, Inc., and Hanwha Vision Co., Ltd., are driving innovation through AI cameras, edge analytics, cloud-based platforms, and strategic partnerships, supporting sustained market growth.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS
The AI in video surveillance market is undergoing a structural shift driven by rapid transition from traditional rule-based monitoring systems to intelligent, data-driven surveillance ecosystems. Advanced technologies, such as deep learning, facial recognition, and natural language processing, are enabling real-time interpretation of video feeds, transforming surveillance from passive recording to proactive decision-making tools. This shift is significantly impacting end-use industries, such as BFSI, healthcare, transportation, and enterprise data centers, where the demand is rising for real-time threat detection, anomaly identification, and automated incident response.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
MARKET DYNAMICS
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Growing demand for enhanced and intelligent security solutions across sectors
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Advancements in deep learning and computer vision technologies
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Concerns related to data privacy and security in AI-enabled surveillance systems
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High implementation and costs
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Rising adoption of AI-driven surveillance across retail and transportation sectors
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Continuous evolution of AI cameras with advanced machine learning capabilities
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Fragmented and complex data protection regulations across regions
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Occurrence of false negatives
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Driver: Growing demand for enhanced and intelligent security solutions across sectors
The rising need for enhanced security across urban infrastructure, commercial spaces, and critical facilities is accelerating the adoption of AI-powered video surveillance systems. Organizations are increasingly shifting from traditional monitoring to intelligent analytics-based surveillance that enables real-time threat detection, behavior analysis, and predictive alerts. This demand is further amplified by growing urbanization, smart city initiatives, and rising concerns over public safety, pushing continuous investment in advanced, automated surveillance technologies across global markets.
Restraint: Concerns related to data privacy and security in AI-enabled surveillance systems
The deployment of AI in video surveillance faces significant resistance due to growing concerns around privacy infringement and data misuse. Continuous monitoring and facial recognition capabilities raise ethical questions and regulatory scrutiny, particularly in regions with strict data protection frameworks. Additionally, risks of cyberattacks and unauthorized access to sensitive surveillance data further undermine trust. These concerns often slow down large-scale adoption, forcing organizations to invest heavily in compliance, encryption, and governance mechanisms.
Opportunity: Rising adoption of AI-driven surveillance across retail and transportation sectors
The integration of AI-driven video surveillance in retail and transportation sectors presents substantial growth opportunities. In retail, AI enables customer behavior analysis, loss prevention, and optimized store layouts, enhancing operational efficiency and revenue generation. In transportation, it supports traffic monitoring, passenger safety, and congestion management. The expansion of smart retail formats and intelligent transport systems is driving the demand for scalable, real-time surveillance solutions, creating new revenue streams for technology providers.
Challenge: Fragmented and complex data protection regulations across regions
A major challenge for the AI video surveillance market is navigating the complex and fragmented landscape of data protection regulations across different geographies. Laws governing biometric data, video storage, and cross-border data transfer vary significantly, creating compliance difficulties for global deployments. Organizations must adapt systems to meet region-specific requirements, increasing operational complexity and costs. This regulatory inconsistency also slows down standardization and limits the seamless scaling of AI surveillance solutions internationally.
AI IN VIDEO SURVEILLANCE MARKET SIZE, SHARE AND TRENDS, 2025-2032: COMMERCIAL USE CASES ACROSS INDUSTRIES
| COMPANY | USE CASE DESCRIPTION | BENEFITS |
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Deploys AI-powered cameras and video analytics for large-scale public safety, smart cities, and transportation hubs, enabling real-time facial recognition, traffic monitoring, and anomaly detection | Enhances situational awareness | Improves incident response time | Enables proactive threat detection across urban infrastructure |
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Provides AI-enabled surveillance systems for retail, industrial, and city surveillance applications, integrating object detection, perimeter protection, and behavior analysis | Reduces security risks | Optimizes operational monitoring | Improves asset protection through intelligent automation |
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Offers network cameras with embedded AI for edge-based analytics in retail stores, airports, and commercial facilities, focusing on people counting and behavioral insights; enables real-time insights, reduces bandwidth usage via edge processing, and enhances customer experience and store efficiency | Enables real-time insights | Reduces bandwidth usage via edge processing | Enhances customer experience and store efficiency |
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Delivers integrated AI-driven video management systems (VMS) for law enforcement, critical infrastructure, and enterprise security with advanced analytics and cloud capabilities | Improves coordinated response | Centralizes security operations | Enhances decision-making with actionable intelligence |
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Develops AI surveillance solutions for smart cities, manufacturing, and critical infrastructure, including license plate recognition and intrusion detection systems | Strengthens perimeter security | Increases monitoring accuracy | Reduces false alarms through intelligent video analytics |
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 in video surveillance ecosystem comprises four key segments that collectively drive market innovation and growth. AI camera manufacturers, including Dahua, Axis, FLIR, Agent Vi, and Hikvision, form the hardware backbone by delivering intelligent imaging solutions. AI software & algorithm developers, such as BriefCam, NVIDIA, Verint, Deepvision, Vintra, and Liseum, power advanced analytics, deep learning, and real-time threat detection capabilities. Video management software providers, including Genetec, Milestone, Avigilon, Exacq, Axxon, and Qognify, enable seamless video data management and integration. Cloud service providers, such as AWS, Microsoft Azure, Google Cloud, IBM Cloud, and Alibaba Cloud offer scalable infrastructure, ensuring efficient storage, processing, and deployment of AI-driven surveillance solutions.
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 in Video Surveillance Market, by Offering
The software segment in the AI in video surveillance market is expected to register the highest CAGR during the forecast period. This segment is primarily driven by the increasing adoption of AI-driven video management systems and AI-driven video analytics solutions, encompassing use cases, such as facial recognition, object detection & classification, behavior & anomaly detection, license plate recognition, and weapon & threat detection across diverse verticals.
AI in Video Surveillance Market, by Deployment
The cloud-based deployment segment is expected to register the highest CAGR during the forecast period. Cloud-based deployment enables centralized management of video surveillance infrastructure, offering scalability, remote accessibility, and cost efficiency. Growing demand from commercial, government & public facility, and critical infrastructure verticals is accelerating the shift from traditional on-premise systems toward cloud-based AI surveillance platforms globally.
AI in Video Surveillance Market, by Function
The inference segment is expected to dominate the AI in video surveillance market during the forecast period. Inference functions enable real-time processing and decision-making at edge and cloud levels, supporting applications such as intrusion detection, crowd analytics, and behavior anomaly detection. The rising need for instantaneous threat response and operational efficiency across security, retail, and transportation verticals is fueling the dominance of this segment.
AI in Video Surveillance Market, by Technology
The Generative AI segment is expected to register the highest CAGR during the forecast period. Gen AI's multi-modal capabilities spanning audio, video, and text are revolutionizing surveillance intelligence. Combined with deep learning, convolutional neural networks, and computer vision, Gen AI enables advanced threat detection, predictive analytics, and automated reporting, making it one of the most transformative technology segments within the AI in Video Surveillance Market.
AI in Video Surveillance Market, by Vertical
The government & public facilities segment is expected to dominate the AI in video surveillance market during the forecast period. This dominance is attributed to widespread deployment across law enforcement buildings, transportation facilities, smart city surveillance, healthcare facilities, and education facilities. Increasing government investments in public safety infrastructure, smart city initiatives, and national security programs across North America, Europe, and Asia Pacific are key contributors driving this segment's leadership.
REGION
Asia Pacific to be fastest-growing region in AI in video surveillance market during forecast period
Asia Pacific is expected to dominate the AI in video surveillance market and grow at the fastest rate during the forecast period. This dominance is largely driven by China, which houses leading market players, such as Hangzhou Hikvision Digital Technology Co., Ltd. and Dahua Technology Co., Ltd., along with massive government investments in smart city surveillance, public safety infrastructure, and intelligent transportation systems. India, Japan, South Korea, and Southeast Asia are contributing to regional growth through rapid urbanization, increasing security concerns, and rising adoption of AI-driven video analytics across commercial, industrial, and government & public facility verticals.
AI IN VIDEO SURVEILLANCE MARKET SIZE, SHARE AND TRENDS, 2025-2032: COMPANY EVALUATION MATRIX
In the AI in video surveillance companies matrix, Hangzhou Hikvision Digital Technology Co., Ltd. (Star) maintains a dominant position driven by its extensive global installed base, strong edge-AI enabled camera portfolio, and deep integration of computer vision analytics across smart city, transportation, and critical infrastructure applications. The company’s continuous investments in AI chipsets, video management platforms, and large-scale surveillance ecosystems strengthen its leadership across both developed and emerging markets. Honeywell International Inc. (Emerging Leader) is steadily expanding its footprint through integrated security and building management solutions, combining AI-driven video analytics with IoT-enabled enterprise platforms for commercial, industrial, and aviation sectors, focusing on interoperability and cybersecurity.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
KEY MARKET PLAYERS
- Hangzhou Hikvision Digital Technology Co., Ltd. (China)
- Dahua Technology Co., Ltd. (China)
- Axis Communications AB (Sweden)
- Motorola Solutions, Inc. (US)
- Hanwha Vision Co., Ltd. (South Korea)
- Milestone Systems A/S (Denmark)
- SenseTime (China)
- Irisity (Sweden)
- NEC Corporation (Japan)
- Genetec Inc. (Canada)
MARKET SCOPE
| REPORT METRIC | DETAILS |
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| Market Size in 2025 (Value) | USD 3.67 Billion |
| Market Forecast in 2032 (Value) | USD 10.88 Billion |
| Growth Rate | CAGR of 17.9% from 2026–2032 |
| Years Considered | 2022–2032 |
| Base Year | 2025 |
| Forecast Period | 2026–2032 |
| Units Considered | Value (USD Million/Billion), Volume (Thousand Units) |
| 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 IN VIDEO SURVEILLANCE MARKET SIZE, SHARE AND TRENDS, 2025-2032 REPORT CONTENT GUIDE
DELIVERED CUSTOMIZATIONS
We have successfully delivered the following deep-dive customizations:
| CLIENT REQUEST | CUSTOMIZATION DELIVERED | VALUE ADDS |
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| AI Camera OEM / Equipment Manufacturer |
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| Software & Analytics Solution Provider |
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| System Integrator / EPC Firm |
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| Government / Defense / Smart City Enterprise |
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RECENT DEVELOPMENTS
- April 2026 : Dahua Technology launched the APOLLO BP3EW-4G, a wire-free AI-powered 4G security camera designed for remote and off-grid surveillance. Featuring 2K imaging, always-on video mode, solar-powered battery support, and AI-based human and vehicle detection, the solution enhances monitoring efficiency while reducing false alarms. Its rugged, IP66-rated design ensures reliable performance across farms, reservoirs, and other infrastructure-limited environments.
- April 2026 : Axis Communications AB introduced a range of AI-driven security innovations, including advanced cameras, thermal sensors, and edge-based analytics solutions. Key highlights include the AXIS P1486-LE global shutter camera and AI-powered license plate recognition software, enabling real-time analytics and improved surveillance accuracy. These solutions enhance deployment flexibility, integrate video and sensor data, and support scalable, intelligent security infrastructure.
- March 2026 : Hanwha Vision partnered with Ambarella to develop next-generation AI-powered video security technologies. The collaboration focuses on integrating advanced video processing with AI-driven system-on-chip (SoC) solutions, enabling enhanced surveillance performance and scalability. This partnership aims to strengthen innovation in AI video analytics while expanding applications across broader vision-based technologies beyond traditional surveillance systems.
- December 2025 : Axis Communications acquired FF Group to strengthen its AI-driven traffic and video analytics capabilities. The acquisition enhances Axis’ expertise in license plate verification and intelligent video analysis, supporting growth in traffic surveillance and smart mobility applications. By integrating advanced analytics, Axis aims to expand its AI-powered surveillance portfolio and deliver improved solutions to customers.
Table of Contents
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Methodology
The study involved four major activities in estimating the current size of the AI in video surveillance market. Extensive secondary research was conducted to gather information on the market, adjacent markets, and the broader imaging systems ecosystem. This was followed by primary research with industry stakeholders across the value chain, including manufacturers, distributors, technology providers, and end users, to validate assumptions and market sizing. Both top-down and bottom-up approaches were used to estimate the overall market size. Market breakdown and data triangulation techniques were then applied to derive the size of individual segments and subsegments. Secondary and primary sources were jointly used to support a comprehensive technical and commercial analysis of the AI in video surveillance market.
Secondary Research
Various secondary sources have been referred to in the secondary research process to identify and collect information important for this study. The secondary sources include annual reports, press releases, and investor presentations of companies; white papers; journals and certified publications; and articles from recognized authors, websites, directories, and databases. Secondary research has been conducted to obtain key information about the industry’s supply chain, the market’s value chain, the total pool of key players, market segmentation according to the industry trends (to the bottom-most level), regional markets, and key developments from market- and technology-oriented perspectives. The secondary data has been collected and analyzed to determine the overall market size, further validated by primary research.
Primary Research
Extensive primary research was conducted after gaining knowledge about the current scenario of the AI in video surveillance market through secondary research. Several primary interviews were conducted with experts from the demand and supply sides across four major regions: North America, Europe, Asia Pacific, and RoW. This primary data was collected through questionnaires, emails, and telephonic interviews.
Note: The three tiers of the companies are defined based on their total revenue in 2023: Tier 1 - revenue greater than or equal to USD 1 billion; Tier 2 - revenue between USD 100 million and USD 1 billion; and Tier 3 revenue less than or equal to USD 100 million. Other designations include sales managers, marketing managers, and product managers.
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Market Size Estimation
Both top-down and bottom-up approaches have been used to estimate and validate the total size of the AI in video surveillance market. These methods have also been used extensively to estimate the size of various subsegments in the market. The following research methodology has been used to estimate the market size:
- Major players in the industry and markets have been identified through extensive secondary research.
- The industry’s value chain and market size (in terms of value) have been determined through primary and secondary research processes.
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
AI in Video Surveillance Market : Top-Down and Bottom-Up Approach
Data Triangulation
After arriving at the overall size of the AI in video surveillance market from the market size estimation process explained above, the total market has been split into several segments and subsegments. Data triangulation and market breakdown procedures have been employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments of the market. The data has been triangulated by studying various factors and trends from the demand and supply sides. Along with this, the market size has been validated using both top-down and bottom-up approaches.
Market Definition
The scope of AI in video surveillance encompasses a range of applications and capabilities that revolutionize traditional security systems. AI-powered video surveillance leverages advanced algorithms and machine-learning techniques to analyze vast amounts of real-time visual data. It enables intelligent video analytics, such as object detection, tracking, and recognition, allowing automated identification of suspicious activities, persons of interest, or potential threats. AI algorithms can also enhance video quality, optimize camera placements, and facilitate intelligent search and retrieval of relevant footage.
Additionally, AI-based video surveillance systems can integrate with other technologies, such as facial recognition, biometrics, and data analytics, enabling comprehensive security solutions for various domains, including public spaces, transportation, retail, and critical infrastructure. The scope of AI in video surveillance holds promise for enhancing public safety, crime prevention, and operational efficiency while raising concerns related to privacy, ethical considerations, and the responsible use of such technologies.
Key Stakeholders
- Raw material vendors
- Component (image sensor, lens, and module) providers
- Software providers
- AI-based video surveillance camera and other hardware manufacturers
- Original equipment manufacturers (OEMs)
- AI-based video surveillance system integrators
- Service providers
- Technology standards organizations, forums, alliances, and associations
- Governments, financial institutions, and investment communities
- Research organizations
- Analysts and strategic business planners
- Venture capitalists, private equity firms, and startup companies
- Distributors
- Infrastructure, commercial, institutional, industrial, residential, and other end users
Report Objectives
- To define, describe, and forecast the AI in video surveillance market, by offering, deployment, function, technology, vertical, and region, in terms of value
- To define and describe applications and use cases in the AI in video surveillance market
- To describe and forecast the AI in video surveillance market for AI cameras, in terms of volume
- To forecast the size of the market segments for four major regions, namely North America, Europe, Asia Pacific, and RoW, in terms of value
- To provide detailed information regarding the major factors influencing the market growth, such as drivers, restraints, opportunities, and challenges
- To offer an ecosystem analysis, case study analysis, patent analysis, technology analysis, pricing analysis, Porter’s Five Forces analysis, and regulations pertaining to the market
- To give a detailed overview of the value chain of the AI in video surveillance ecosystem
- To strategically analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
- To strategically profile the key players and comprehensively analyze their market shares and core competencies
- To analyze the opportunities in the market for stakeholders and describe the competitive landscape of the market
- To study competitive developments, such as collaborations, partnerships, product developments, and acquisitions, in the market
- To provide the macroeconomic outlook for each region that has been covered in the report
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Growth opportunities and latent adjacency in AI in Video Surveillance Market