The global market for Artificial Intelligence in Video Surveillance was valued at US$7.9 Billion in 2024 and is projected to reach US$32.3 Billion by 2030, growing at a CAGR of 26.4% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.
AI algorithms enable surveillance cameras to recognize specific patterns, behaviors, and objects within video feeds. For example, AI-powered systems can instantly identify suspicious activities, such as unauthorized access, loitering, or violence, and alert security personnel in real time. This proactive approach to surveillance improves the overall effectiveness of security systems, reducing response times and preventing security breaches. Additionally, AI can filter out irrelevant footage, allowing operators to focus on critical incidents, thus enhancing operational efficiency.
The integration of AI in video surveillance extends beyond security to more advanced applications. For example, in retail environments, AI can track customer behavior to optimize store layouts or improve inventory management. In transportation, AI can monitor traffic patterns and identify potential hazards, improving road safety. These applications illustrate the broader role AI is playing in revolutionizing video surveillance across various industries.
The rise of smart cities and infrastructure is also fueling the adoption of AI in video surveillance. As cities become more connected through IoT devices and integrated technologies, surveillance systems need to manage and analyze vast amounts of data from numerous cameras and sensors. AI-powered systems enable seamless integration across city-wide networks, providing real-time insights into traffic, crowd behavior, and public safety. These systems not only improve security but also contribute to urban planning and resource management.
Regulatory pressures around public safety and the need for compliance with data privacy laws are encouraging businesses and governments to adopt AI-driven surveillance technologies. AI systems are increasingly being designed with privacy-conscious features, such as anonymizing sensitive information and ensuring secure data storage, allowing organizations to meet regulatory requirements while enhancing surveillance capabilities.
In addition to real-time alerts, AI enhances the accuracy of surveillance systems by reducing false positives and minimizing human error. For example, in facial recognition applications, AI systems are capable of matching faces with high precision, even in challenging environments with poor lighting or multiple subjects. This capability is critical for security in high-traffic areas such as airports, stadiums, and shopping centers. AI systems are also able to analyze complex behavior patterns, ensuring that unusual actions, such as suspicious movements or the presence of unauthorized individuals, are detected swiftly and accurately.
AI's ability to learn and adapt further enhances the effectiveness of surveillance systems. Over time, machine learning algorithms improve their recognition capabilities based on historical data, increasing their ability to identify patterns and anomalies. This continuous improvement ensures that AI-powered surveillance systems remain highly accurate and relevant as security needs evolve.
Another key driver is the growing adoption of smart city initiatives, where AI is becoming an integral part of urban planning and management. In these environments, AI-powered video surveillance not only enhances security but also contributes to better traffic management, crowd control, and public safety.
The increasing integration of AI with other technologies, such as the Internet of Things (IoT), cloud computing, and edge computing, is further fueling market growth. These advancements enable AI-powered surveillance systems to process vast amounts of real-time data and offer deeper insights into public and private spaces.
Additionally, the improving affordability and accessibility of AI solutions, coupled with advancements in cloud-based platforms, are enabling smaller businesses and municipalities to adopt AI-powered surveillance systems. As the technology becomes more widespread, it is expected to permeate various sectors, from retail and transportation to healthcare and manufacturing. These factors, combined with the need for compliance with security regulations and data privacy laws, are contributing to the rapid growth of the AI in Video Surveillance market.
Global Artificial Intelligence in Video Surveillance Market - Key Trends & Drivers Summarized
How is AI Enhancing the Effectiveness of Video Surveillance?
Artificial Intelligence (AI) is transforming video surveillance systems by enhancing their ability to analyze, interpret, and respond to video footage in real time. Traditional video surveillance systems typically rely on manual review or basic motion detection, which can result in inefficiencies and missed incidents. AI, however, introduces advanced technologies such as machine learning (ML), facial recognition, object detection, and anomaly detection, making surveillance systems smarter and more responsive.AI algorithms enable surveillance cameras to recognize specific patterns, behaviors, and objects within video feeds. For example, AI-powered systems can instantly identify suspicious activities, such as unauthorized access, loitering, or violence, and alert security personnel in real time. This proactive approach to surveillance improves the overall effectiveness of security systems, reducing response times and preventing security breaches. Additionally, AI can filter out irrelevant footage, allowing operators to focus on critical incidents, thus enhancing operational efficiency.
The integration of AI in video surveillance extends beyond security to more advanced applications. For example, in retail environments, AI can track customer behavior to optimize store layouts or improve inventory management. In transportation, AI can monitor traffic patterns and identify potential hazards, improving road safety. These applications illustrate the broader role AI is playing in revolutionizing video surveillance across various industries.
What Drives the Adoption of AI in Video Surveillance?
The growing demand for enhanced security and safety in both public and private spaces is a primary driver of AI adoption in video surveillance. As urban areas expand and organizations face increasing threats from criminal activities, terrorism, and vandalism, the need for more efficient and intelligent surveillance solutions becomes critical. AI-powered surveillance systems provide a more accurate, responsive, and scalable approach to security management.The rise of smart cities and infrastructure is also fueling the adoption of AI in video surveillance. As cities become more connected through IoT devices and integrated technologies, surveillance systems need to manage and analyze vast amounts of data from numerous cameras and sensors. AI-powered systems enable seamless integration across city-wide networks, providing real-time insights into traffic, crowd behavior, and public safety. These systems not only improve security but also contribute to urban planning and resource management.
Regulatory pressures around public safety and the need for compliance with data privacy laws are encouraging businesses and governments to adopt AI-driven surveillance technologies. AI systems are increasingly being designed with privacy-conscious features, such as anonymizing sensitive information and ensuring secure data storage, allowing organizations to meet regulatory requirements while enhancing surveillance capabilities.
Can AI Improve Efficiency and Accuracy in Surveillance Systems?
AI is significantly improving the efficiency and accuracy of video surveillance systems by automating key functions that were once manually handled. Traditional surveillance systems often require human operators to monitor video feeds continuously, which is not only time-consuming but also prone to error and oversight. AI eliminates the need for constant human vigilance by automating the analysis of video footage, highlighting only relevant events and incidents that require attention.In addition to real-time alerts, AI enhances the accuracy of surveillance systems by reducing false positives and minimizing human error. For example, in facial recognition applications, AI systems are capable of matching faces with high precision, even in challenging environments with poor lighting or multiple subjects. This capability is critical for security in high-traffic areas such as airports, stadiums, and shopping centers. AI systems are also able to analyze complex behavior patterns, ensuring that unusual actions, such as suspicious movements or the presence of unauthorized individuals, are detected swiftly and accurately.
AI's ability to learn and adapt further enhances the effectiveness of surveillance systems. Over time, machine learning algorithms improve their recognition capabilities based on historical data, increasing their ability to identify patterns and anomalies. This continuous improvement ensures that AI-powered surveillance systems remain highly accurate and relevant as security needs evolve.
What's Driving the Growth of the AI in Video Surveillance Market?
The growth in the Artificial Intelligence in Video Surveillance market is driven by several transformative factors that reflect the increasing need for intelligent, scalable, and proactive security systems. The rise in security threats, including terrorism, vandalism, and cybercrime, has pushed businesses and governments to seek advanced technologies capable of detecting and responding to incidents faster and more accurately. AI-powered video surveillance systems offer this capability, making them indispensable in modern security strategies.Another key driver is the growing adoption of smart city initiatives, where AI is becoming an integral part of urban planning and management. In these environments, AI-powered video surveillance not only enhances security but also contributes to better traffic management, crowd control, and public safety.
The increasing integration of AI with other technologies, such as the Internet of Things (IoT), cloud computing, and edge computing, is further fueling market growth. These advancements enable AI-powered surveillance systems to process vast amounts of real-time data and offer deeper insights into public and private spaces.
Additionally, the improving affordability and accessibility of AI solutions, coupled with advancements in cloud-based platforms, are enabling smaller businesses and municipalities to adopt AI-powered surveillance systems. As the technology becomes more widespread, it is expected to permeate various sectors, from retail and transportation to healthcare and manufacturing. These factors, combined with the need for compliance with security regulations and data privacy laws, are contributing to the rapid growth of the AI in Video Surveillance market.
Report Scope
The report analyzes the Artificial Intelligence in Video Surveillance market, presented in terms of market value (USD). The analysis covers the key segments and geographic regions outlined below.Segments
Component (Software Component, Hardware Component, Services Component); Deployment (On-Premise Deployment, Cloud-based Deployment); End-Use (Commercial End-Use, Residential End-Use, Industrial End-Use, Government & Public Facilities End-Use, Other End-Uses); Use Case (Weapon Detection Use Case, Intrusion Detection Use Case, Traffic Flow Analysis Use Case, Facial Recognition Use Case, Other Use Cases).Geographic Regions/Countries
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.Key Insights:
- Market Growth: Understand the significant growth trajectory of the AI Software segment, which is expected to reach US$12.7 Billion by 2030 with a CAGR of a 27.9%. The AI Hardware segment is also set to grow at 22.2% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, valued at $2.1 Billion in 2024, and China, forecasted to grow at an impressive 24.9% CAGR to reach $4.9 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Artificial Intelligence in Video Surveillance Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Artificial Intelligence in Video Surveillance Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Artificial Intelligence in Video Surveillance Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of players such as Axis Communications AB, Bosch Sicherheitssysteme GmbH, Genetec, Inc., Huawei Technologies Co., Ltd., Milestone Systems A/S and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Some of the 43 companies featured in this Artificial Intelligence in Video Surveillance market report include:
- Axis Communications AB
- Bosch Sicherheitssysteme GmbH
- Genetec, Inc.
- Huawei Technologies Co., Ltd.
- Milestone Systems A/S
- NEC Corporation
- Panasonic Corporation
- Scati Labs SA
- Sensen.ai Ltd
- VIVOTEK, Inc.
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIII. MARKET ANALYSISCANADAITALYREST OF EUROPEREST OF WORLDIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
UNITED STATES
JAPAN
CHINA
EUROPE
FRANCE
GERMANY
UNITED KINGDOM
ASIA-PACIFIC
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Axis Communications AB
- Bosch Sicherheitssysteme GmbH
- Genetec, Inc.
- Huawei Technologies Co., Ltd.
- Milestone Systems A/S
- NEC Corporation
- Panasonic Corporation
- Scati Labs SA
- Sensen.ai Ltd
- VIVOTEK, Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 213 |
| Published | February 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 7.9 Billion |
| Forecasted Market Value ( USD | $ 32.3 Billion |
| Compound Annual Growth Rate | 26.4% |
| Regions Covered | Global |
