AI in Video Surveillance Market Report – Research, Industry Analysis Reports and Market Demands

Global AI in Video Surveillance Market 2026 by Company, Regions, Type and Application, Forecast to 2032

Request for Sample of this report

Buy now

Table of Content

1 Market Overview

2 Company Profiles

3 Market Competition, by Players

3.1 Global AI in Video Surveillance Revenue and Share by Players (2021-2026)
3.2 Market Share Analysis (2025)
- 3.2.1 Market Share of AI in Video Surveillance by Company Revenue
- 3.2.2 Top 3 AI in Video Surveillance Players Market Share in 2025
- 3.2.3 Top 6 AI in Video Surveillance Players Market Share in 2025
3.3 AI in Video Surveillance Market: Overall Company Footprint Analysis
- 3.3.1 AI in Video Surveillance Market: Region Footprint
- 3.3.2 AI in Video Surveillance Market: Company Product Type Footprint
- 3.3.3 AI in Video Surveillance Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type

4.1 Global AI in Video Surveillance Consumption Value and Market Share by Type (2021-2026)
4.2 Global AI in Video Surveillance Market Forecast by Type (2027-2032)

5 Market Size Segment by Application

5.1 Global AI in Video Surveillance Consumption Value Market Share by Application (2021-2026)
5.2 Global AI in Video Surveillance Market Forecast by Application (2027-2032)

6 North America

6.1 North America AI in Video Surveillance Consumption Value by Type (2021-2032)
6.2 North America AI in Video Surveillance Market Size by Application (2021-2032)
6.3 North America AI in Video Surveillance Market Size by Country
- 6.3.1 North America AI in Video Surveillance Consumption Value by Country (2021-2032)
- 6.3.2 United States AI in Video Surveillance Market Size and Forecast (2021-2032)
- 6.3.3 Canada AI in Video Surveillance Market Size and Forecast (2021-2032)
- 6.3.4 Mexico AI in Video Surveillance Market Size and Forecast (2021-2032)

7 Europe

7.1 Europe AI in Video Surveillance Consumption Value by Type (2021-2032)
7.2 Europe AI in Video Surveillance Consumption Value by Application (2021-2032)
7.3 Europe AI in Video Surveillance Market Size by Country
- 7.3.1 Europe AI in Video Surveillance Consumption Value by Country (2021-2032)
- 7.3.2 Germany AI in Video Surveillance Market Size and Forecast (2021-2032)
- 7.3.3 France AI in Video Surveillance Market Size and Forecast (2021-2032)
- 7.3.4 United Kingdom AI in Video Surveillance Market Size and Forecast (2021-2032)
- 7.3.5 Russia AI in Video Surveillance Market Size and Forecast (2021-2032)
- 7.3.6 Italy AI in Video Surveillance Market Size and Forecast (2021-2032)

8 Asia-Pacific

8.1 Asia-Pacific AI in Video Surveillance Consumption Value by Type (2021-2032)
8.2 Asia-Pacific AI in Video Surveillance Consumption Value by Application (2021-2032)
8.3 Asia-Pacific AI in Video Surveillance Market Size by Region
- 8.3.1 Asia-Pacific AI in Video Surveillance Consumption Value by Region (2021-2032)
- 8.3.2 China AI in Video Surveillance Market Size and Forecast (2021-2032)
- 8.3.3 Japan AI in Video Surveillance Market Size and Forecast (2021-2032)
- 8.3.4 South Korea AI in Video Surveillance Market Size and Forecast (2021-2032)
- 8.3.5 India AI in Video Surveillance Market Size and Forecast (2021-2032)
- 8.3.6 Southeast Asia AI in Video Surveillance Market Size and Forecast (2021-2032)
- 8.3.7 Australia AI in Video Surveillance Market Size and Forecast (2021-2032)

9 South America

9.1 South America AI in Video Surveillance Consumption Value by Type (2021-2032)
9.2 South America AI in Video Surveillance Consumption Value by Application (2021-2032)
9.3 South America AI in Video Surveillance Market Size by Country
- 9.3.1 South America AI in Video Surveillance Consumption Value by Country (2021-2032)
- 9.3.2 Brazil AI in Video Surveillance Market Size and Forecast (2021-2032)
- 9.3.3 Argentina AI in Video Surveillance Market Size and Forecast (2021-2032)

10 Middle East & Africa

10.1 Middle East & Africa AI in Video Surveillance Consumption Value by Type (2021-2032)
10.2 Middle East & Africa AI in Video Surveillance Consumption Value by Application (2021-2032)
10.3 Middle East & Africa AI in Video Surveillance Market Size by Country
- 10.3.1 Middle East & Africa AI in Video Surveillance Consumption Value by Country (2021-2032)
- 10.3.2 Turkey AI in Video Surveillance Market Size and Forecast (2021-2032)
- 10.3.3 Saudi Arabia AI in Video Surveillance Market Size and Forecast (2021-2032)
- 10.3.4 UAE AI in Video Surveillance Market Size and Forecast (2021-2032)

11 Market Dynamics

11.1 AI in Video Surveillance Market Drivers
11.2 AI in Video Surveillance Market Restraints
11.3 AI in Video Surveillance Trends Analysis
11.4 Porters Five Forces Analysis
- 11.4.1 Threat of New Entrants
- 11.4.2 Bargaining Power of Suppliers
- 11.4.3 Bargaining Power of Buyers
- 11.4.4 Threat of Substitutes
- 11.4.5 Competitive Rivalry

12 Industry Chain Analysis

12.1 AI in Video Surveillance Industry Chain
12.2 AI in Video Surveillance Upstream Analysis
12.3 AI in Video Surveillance Midstream Analysis
12.4 AI in Video Surveillance Downstream Analysis

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology
14.2 Research Process and Data Source

Description

According to our (Global Info Research) latest study, the global AI in Video Surveillance market size was valued at US$ 3756 million in 2025 and is forecast to a readjusted size of US$ 11951 million by 2032 with a CAGR of 17.9% during review period.
AI in Video Surveillance refers to the integration of artificial intelligence technologies—including computer vision, deep learning, machine learning, and generative AI—into video surveillance systems to enable intelligent video analytics, real-time threat detection, behavioral analysis, and automated decision-making . Unlike traditional CCTV systems that rely on passive recording and manual monitoring, AI-powered surveillance systems can automatically detect anomalies, recognize faces and objects, track movements, and generate real-time alerts, transforming security operations from reactive to proactive .
The upstream segment includes raw material suppliers of AI processors (GPUs, TPUs, edge AI chips), image sensors (CMOS), optical lenses, housing materials, and connectivity modules (5G/Wi-Fi 6). The midstream segment encompasses AI camera manufacturing (fixed, PTZ, dome, bullet, panoramic, fisheye), edge computing and cloud-based video management systems (VMS), AI-driven video analytics software development (training and inference), system integration, and quality testing performed by specialized security equipment manufacturers and technology providers . The downstream segment comprises distribution channels including direct sales to end-users, security system integrators, distributors, and cloud service providers, serving end-users in public safety & critical infrastructure (government, transportation hubs, utilities), smart cities & urban surveillance, commercial & retail (loss prevention, customer analytics), industrial & manufacturing (worker safety, asset protection), healthcare (patient monitoring, access control), and residential applications.The industry maintains gross margins between 35% and 55%, reflecting the value-added nature of AI-driven analytics and software services.
The global AI in video surveillance market is experiencing explosive growth, driven by escalating security threats, the proliferation of smart city initiatives worldwide, and the increasing demand for real-time threat detection and automated monitoring solutions . Traditional video surveillance systems relying on manual monitoring are proving inadequate for the scale and complexity of modern security challenges, accelerating the adoption of AI-powered solutions.
A notable trend reshaping the market is the rapid adoption of edge computing for AI video analytics. Edge-based AI processing, where video analytics are performed directly on cameras or local gateways rather than centralized servers, is enabling real-time threat detection with lower latency, reduced bandwidth requirements, and enhanced data privacy . This shift is particularly valuable for applications requiring immediate response, such as perimeter security, access control, and active threat detection. Leading manufacturers are integrating AI chips directly into cameras, creating self-contained intelligent devices that can identify, classify, and alert without cloud connectivity.
Another significant development is the emergence of cloud-based video surveillance solutions. Organizations are increasingly adopting cloud platforms to store, manage, and analyze large volumes of video data without heavy infrastructure investments . The cloud-based deployment segment is expected to witness the highest growth rate due to its scalability, flexibility, and cost-efficiency. The ability to access surveillance systems remotely, combined with seamless software updates and integration with advanced AI analytics, is accelerating demand, particularly among enterprises seeking centralized, data-driven security solutions.
This report is a detailed and comprehensive analysis for global AI in Video Surveillance market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI in Video Surveillance market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI in Video Surveillance market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI in Video Surveillance market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI in Video Surveillance market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI in Video Surveillance
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI in Video Surveillance market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Hangzhou Hikvision Digital Technology Co., Ltd., Dahua Technology Co., Ltd., Axis Communications AB, Motorola Solutions, Inc., Hanwha Vision Co., Ltd., Bosch Security Systems, Honeywell International Inc., Avigilon (Motorola Solutions), Uniview Technologies Co., Ltd., Tiandy Technologies Co., Ltd., etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI in Video Surveillance market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
On-Premise
Cloud-Based
Edge-Based
Market segment by Function
Training
Inference
Market segment by Technology
Computer Vision
Deep Learning
Machine Learning
Generative AI
Natural Language Processing
Market segment by Application
Government & Public Sector
Residential Users
Industrial Facilities
Enterprises & Commercial
Market segment by players, this report covers
Hangzhou Hikvision Digital Technology Co., Ltd.
Dahua Technology Co., Ltd.
Axis Communications AB
Motorola Solutions, Inc.
Hanwha Vision Co., Ltd.
Bosch Security Systems
Honeywell International Inc.
Avigilon (Motorola Solutions)
Uniview Technologies Co., Ltd.
Tiandy Technologies Co., Ltd.
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI in Video Surveillance product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in Video Surveillance, with revenue, gross margin, and global market share of AI in Video Surveillance from 2021 to 2026.
Chapter 3, the AI in Video Surveillance competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and AI in Video Surveillance market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Video Surveillance.
Chapter 13, to describe AI in Video Surveillance research findings and conclusion.

Buy now