According to our (Global Info Research) latest study, the global AI Video Surveillance Software market size was valued at US$ 621 million in 2025 and is forecast to a readjusted size of US$ 946 million by 2032 with a CAGR of 6.2% during review period.
AI Video Surveillance Software refers to software systems that deeply integrate AI technologies such as computer vision and deep learning into traditional video surveillance systems, endowing them with intelligent analysis and understanding capabilities. Its core functions are no longer limited to passive recording and playback, but can automatically analyze video footage in real-time or after the event, including target detection and classification, behavior recognition, feature extraction, and abnormal event alarms. This software efficiently extracts key information from massive amounts of redundant monitoring data through algorithms, transforming "seeing" into "understanding," achieving a qualitative leap from passive recording to proactive early warning, thereby significantly improving security efficiency and management levels.
The global focus of AI video surveillance software development is shifting from public safety to commercial and industrial applications. The North American market is dominated by cloud-native software services and API ecosystems, with enterprises prioritizing employee efficiency analysis, retail customer conversion, and industrial safety compliance monitoring. Europe, constrained by strict privacy regulations, focuses on edge-side anonymized behavioral analysis (such as pose estimation and heatmaps) rather than identity recognition. Chinese manufacturers are shifting towards behavioral early warning and quality inspection in real-world scenarios such as smart manufacturing and smart farming. Japan has developed a lightweight and mature solution for fall detection in nursing homes. Current market trends include decoupling software and hardware, and the widespread adoption of subscription and pay-per-line models. Key obstacles include high costs associated with cross-brand camera compatibility and the difficulty in eliminating false alarms in complex lighting and occlusion conditions. Dynamically, open-source detection models significantly lower the barrier to entry for startups, while the EU plans to mandate localization in technical standards to balance industry development with privacy concerns.
This report is a detailed and comprehensive analysis for global AI Video Surveillance Software 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 Video Surveillance Software market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI Video Surveillance Software market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI Video Surveillance Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI Video Surveillance Software 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 Video Surveillance Software
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 Video Surveillance Software 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 Eagle Eye Networks, Spot AI, Genetec, Milestone Systems, icetana, Lumana, Actuate, Coram AI, Gorilla Technology, Videoloft, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI Video Surveillance Software 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
Edge Software
Server Software
Cloud Platform Software
Hybrid Deployment
Market segment by Number of Parameters
Low-Parameter Model (Number of Parameters < 10⁴)
Medium-Parameter Model (Number of Parameters: 10⁴ – 10⁷)
High-Parameter Model (Number of Parameters: 10⁷ – 10⁹)
Very Large-Scale Parameter Model (Number of Parameters > 10⁹)
Market segment by Application
Public Safety
Smart Transportation
Smart Retail
Industry and Manufacturing
Healthcare
Residential and Building Systems
Logistics and Warehousing
Others
Market segment by players, this report covers
Eagle Eye Networks
Spot AI
Genetec
Milestone Systems
icetana
Lumana
Actuate
Coram AI
Gorilla Technology
Videoloft
Scylla
AxxonSoft
Turing AI
Vaidio AI
viAct
Hikvision
SenseTime
Panasonic
Dahua Technology
Uniview
NEC
Camtrace
Securiton
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 Video Surveillance Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI Video Surveillance Software, with revenue, gross margin, and global market share of AI Video Surveillance Software from 2021 to 2026.
Chapter 3, the AI Video Surveillance Software 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 Video Surveillance Software 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 Video Surveillance Software.
Chapter 13, to describe AI Video Surveillance Software research findings and conclusion.
Summary:
Get latest Market Research Reports on AI Video Surveillance Software. Industry analysis & Market Report on AI Video Surveillance Software is a syndicated market report, published as Global AI Video Surveillance Software Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI Video Surveillance Software market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.