The AI in video surveillance market is projected to grow from USD 4.04 billion in 2026 to USD 10.88 billion by 2032, at a CAGR of 17.9% during the forecast period. The market is projected to witness strong growth during the forecast period, due to the rising need for proactive and automated security solutions across industries. Organizations are increasingly prioritizing real-time monitoring and intelligent analytics to enhance safety, reduce human intervention, and improve operational efficiency. AI-powered surveillance systems enable capabilities such as facial recognition, object detection, behavior analysis, and anomaly detection, allowing faster and more accurate decision-making.
These systems significantly reduce false alarms and enable predictive threat identification, which is critical for sectors such as smart cities, transportation, retail, and critical infrastructure. Additionally, advancements in edge computing, cloud integration, and deep learning algorithms are improving system scalability and performance. The ability to derive actionable insights from video data, combined with reduced operational costs and enhanced security outcomes, is accelerating adoption globally. Furthermore, increasing investments in smart infrastructure, urban safety initiatives, and regulatory compliance requirements are reinforcing the long-term growth potential of the AI in video surveillance market.
The study provides a detailed competitive analysis of these key players in the AI in video surveillance market, presenting their company profiles, most recent developments, and key market strategies.
These systems significantly reduce false alarms and enable predictive threat identification, which is critical for sectors such as smart cities, transportation, retail, and critical infrastructure. Additionally, advancements in edge computing, cloud integration, and deep learning algorithms are improving system scalability and performance. The ability to derive actionable insights from video data, combined with reduced operational costs and enhanced security outcomes, is accelerating adoption globally. Furthermore, increasing investments in smart infrastructure, urban safety initiatives, and regulatory compliance requirements are reinforcing the long-term growth potential of the AI in video surveillance market.
By offering, the software segment to capture the largest market share during the forecast period
The software segment is expected to capture the largest market share in the AI in video surveillance market during the forecast period due to the mounting demand for intelligent analytics and centralized video management capabilities. Organizations are rapidly adopting AI-powered software solutions, such as video management systems, facial recognition, object detection, and behavior analytics, to enhance security and operational insights. The shift toward cloud-based platforms and subscription models further supports scalability and cost efficiency. Continuous advancements in deep learning and computer vision are improving accuracy and automation, making software a critical component in modern surveillance ecosystems across industries globally.By function, the training segment to grow at the highest CAGR between 2026 and 2032
The training function is anticipated to witness the highest CAGR in the AI in video surveillance market during the forecast, owing to the growing need for developing and refining AI models that can accurately detect, classify, and respond to complex visual scenarios. As surveillance systems become increasingly sophisticated, continuous training of deep learning algorithms using vast datasets is essential to improve accuracy, reduce false positives, and enhance real-time decision-making capabilities. Organizations across sectors are investing heavily in training infrastructure to ensure their AI surveillance models remain adaptive to evolving threats and environments. Furthermore, advancements in edge computing and cloud-based training platforms are significantly accelerating this growth trajectory.Asia Pacific to emerge as the fastest-growing region in the AI in video surveillance market from 2026 to 2032
Asia Pacific is emerging as the fastest-growing region in the AI in video surveillance market during the forecast period due to the rapid urbanization, increasing investments in smart city projects, and rising security concerns across densely populated countries. Governments and enterprises are heavily investing in advanced surveillance infrastructure to enhance public safety and traffic management. The presence of major manufacturing hubs and technology providers further supports regional growth. Additionally, expanding adoption across sectors such as retail, transportation, and critical infrastructure, combined with favorable government initiatives and digital transformation strategies, is accelerating market expansion across the region.Breakdown of primaries
A variety of executives from key organizations operating in the AI in video surveillance market were interviewed in-depth, including CEOs, marketing directors, and innovation and technology directors.- By Company Type: Tier 1 - 38%, Tier 2 - 28%, and Tier 3 - 34%
- By Designation: C-level Executives - 40%, Directors - 30%, and Others - 30%
- By Region: North America - 35%, Europe - 35, Asia Pacific - 20%, and RoW - 10%
Other designations include product, sales, and marketing managers.
Three tiers of companies have been defined based on their total revenues: tier 3: revenue less than USD 100 million; tier 2: revenue between USD 100 million and USD 1 billion; and tier 1: revenue more than USD 1 billion.- Major players are as follows: Major players operating in AI in video surveillance market include 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 (Hong Kong), Irisity (Sweden), NEC Corporation (Japan), Genetec Inc. (Canada), MOBOTIX AG (Germany), Teledyne Technologies Incorporated (US), Honeywell International Inc. (US), VIVOTEK Inc. (Taiwan), and i-PRO Co., Ltd. (Japan). These companies compete by continuously enhancing AI-powered video surveillance capabilities, focusing on improved accuracy in object detection, facial recognition, behavior analysis, and real-time threat identification across diverse applications. Strategic emphasis is placed on scalable and interoperable system architectures, integration with cloud platforms, edge computing, and IoT ecosystems, along with the development of application-specific solutions for sectors such as smart cities, retail, transportation, healthcare, and critical infrastructure.
The study provides a detailed competitive analysis of these key players in the AI in video surveillance market, presenting their company profiles, most recent developments, and key market strategies.
Research Coverage
This report on the AI in video surveillance market presents a detailed analysis based on offering, deployment, function, technology, vertical, and region. By offering, it is segmented into AI cameras and software. By deployment, the market is segmented into edge-based and cloud-based. By function, it is segmented into training and inference. By technology, the market includes computer vision (ML/DL), machine learning (non-vision AI), natural language processing, and generative AI. By vertical, the market covers residential, commercial, military & defense, government & public facility, industrial, and critical infrastructure. The regional analysis includes North America, Europe, Asia Pacific, and RoW, enabling evaluation of demand patterns, growth drivers, and industry trends across the global AI in video surveillance market.Reasons to buy the report
The report will help the leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market and the sub-segments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the AI in video surveillance market and provides information on key market drivers, restraints, challenges, and opportunities.Key Benefits of Buying the Report
- Analysis of key drivers (Growing demand for enhanced and intelligent security solutions across sectors, Rapid advancements in deep learning and computer vision capabilities, Increasing incidence of crime driving adoption of surveillance systems, Rising deployment of advanced surveillance infrastructure in smart city initiatives), Restraints (Concerns related to data privacy and security in AI-enabled surveillance systems, High implementation and lifecycle costs), Opportunities (Rising integration of AI with IoT-enabled devices and ecosystems, Increasing penetration of smart home technologies globally, Rising adoption of AI-driven surveillance across retail and transportation sectors, Continuous evolution of AI cameras with advanced machine learning capabilities, Growing adoption of generative AI technologies, particularly in emerging economies), Challenges (Fragmented and complex data protection regulations across regions, Occurrence of false negatives, Increasing exposure to cybersecurity threats and system vulnerabilities) influencing the growth of the AI in video surveillance market
- Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the AI in video surveillance market
- Market Development: Comprehensive information about lucrative markets-the report analyses the AI in video surveillance market across varied regions
- Market Diversification: Exhaustive information about new products/services, untapped geographies, recent developments, and investments in the AI in video surveillance market
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like 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 (Hong Kong), Irisity (Sweden), NEC Corporation (Japan), Genetec Inc. (Canada), MOBOTIX AG (Germany), Teledyne Technologies Incorporated (US), Honeywell International Inc. (US), VIVOTEK Inc. (Taiwan), and i-PRO Co., Ltd. (Japan)
Table of Contents
1 Introduction
2 Executive Summary
3 Premium Insights
4 Market Overview
5 Industry Trends
6 Technological Advancements, AI-Driven Impact, Patents, and Innovations
7 Regulatory Landscape
8 Customer Landscape & Buyer Behavior
9 Applications of AI in Video Surveillance
10 AI in Video Surveillance Market, by Offering
11 AI in Video Surveillance Market, by Deployment
12 AI in Video Surveillance Market, by Function
13 AI in Video Surveillance Market, by Technology
14 AI in Video Surveillance Market, by Vertical
15 AI in Video Surveillance Market, by Region
16 Competitive Landscape
17 Company Profiles
18 Research Methodology
19 Appendix
List of Tables
List of Figures
Companies Mentioned
- Rtx
- Safran
- Recaro Aircraft Seating GmbH & Co. KG
- Stelia Aerospace
- Zim Aircraft Seating GmbH
- Ipeco Holdings Ltd.
- Geven Spa
- Martin-Baker Aircraft Co. Ltd
- Expliseat
- Adient PLC.
- Acro Aircraft Seating Ltd
- Thompson Aero
- Unum
- Mirus Aircraft Seating
- St Engineering
- Jamco Corporation
- Aviointeriors S.P.A.
- Optimares Spa
- Airgo Design
- Jhas
- Mobius Protection Systems Ltd.
- Alicebluaero
- Timetooth Technologies
- Butterfly Flexible Seating Solutions
- Starling Aerospace
- Molon Labe Seating
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 330 |
| Published | May 2026 |
| Forecast Period | 2026 - 2032 |
| Estimated Market Value ( USD | $ 4.04 Billion |
| Forecasted Market Value ( USD | $ 10.88 Billion |
| Compound Annual Growth Rate | 17.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |
