Al in Video Surveillance Market, By Component (Hardware, Software, Services), By Deployment (Cloud-based, On Premise), By End Users (Commercial, Residential, Infrastructure, Defence and Military, Public Facility, Industrial), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) – Market Trends, Analysis and Forecast till 2034

Al in Video Surveillance Market was valued at US$ 6.75 Billion in 2024 and is expected to grow at a CAGR of 15.4% to reach US$ 24.89 Billion by 2034.

Video surveillance is using video cameras to monitor a situation, scene, or event. A video surveillance system consists of different components, including security cameras, monitors or displays, and sensors. Video surveillance has quickly become an integral part of business operations, as it allows employees and planners to monitor events as they happen. Modern technology has allowed this to happen in real-time, ensuring reduced response times.

The use of AI in video surveillance focuses on specific software that can be uploaded to the device. These programs are then used to analyze images, audio, and video to identify and detect specially configured people, vehicles, objects, behaviors, etc. AI-based video surveillance plays a vital role in ensuring better public safety and security standards. AI algorithms are designed to monitor video streams in real-time, ensuring greater accuracy and reliability. Real-time analytics also allows employees to respond quickly to safety-critical situations. AI can also be used for anomaly detection, i.e. training AI systems to recognize certain situations or agents as anomalous (anomalous behaviour). This further minimizes risk by using automated systems to detect suspicious events such as unauthorized access, unattended baggage, etc.

AI models can be designed to analyse real-time and historical traffic data. This is done to consolidate data and use it to understand traffic flow patterns and trends. Transportation planners use predictive analytics to forecast future conditions so that staff can more effectively allocate resources, optimize routes to minimize congestion, and adjust traffic light timing.

Retailers can use AI to improve various aspects of their business. Some examples include the ability to deliver personalized customer and in-store experiences, streamline pricing and promotional strategies based on consumption and demand, and optimize operations.

Retailers can also use AI to collect data that highlights customer behaviour and attributes such as age, product preferences, respective needs and problems, etc. This data collection process is called customer intelligence and is used to perform customer segmentation.

Disclaimer: This data is only a representation. Actual data may vary and will be available in the report.

Drivers of the Al in Video Surveillance Market:      

Growing Smart City Programs:

• Developments in the fields of deep learning and computer vision drive the use of Al in the video surveillance market. A subset of machine learning called deep learning has completely transformed computer vision by creating highly accurate and efficient algorithms for processing visual data. Deep learning algorithms can analyze video streams in real-time for video surveillance, enabling quick and precise identification of objects, events, and anomalies. For example, they can recognize specific objects such as cars, people, or weapons, track their movements, and classify their behavior. Advances in deep learning have also increased the accuracy and reliability of facial recognition technology, providing more reliable identification and authentication in video surveillance applications. Therefore, AI is driving revenue for the video surveillance market.

Integration with IoT:

• IoT integration allows video surveillance systems to connect with various IoT devices, such as sensors, actuators, and other smart cameras. This creates an interconnected ecosystem where data can be seamlessly transmitted between different components.
• IoT-enabled monitoring systems can share data with other IoT devices and systems in real-time. For example, video feeds from surveillance cameras can be shared with smart lighting systems, allowing automatic responses to detected movements or intrusions. Organizations can gain insights and make more informed decisions by combining video surveillance data with the data of other IoT devices such as environmental sensors or access control systems. For example, video analytics can be integrated with occupancy sensors to optimize a building's energy consumption based on usage patterns. Integration with IoT helps automate monitoring and response processes. For example, when a surveillance camera detects suspicious activity, it can automatically trigger actions such as turning on lights, sounding an alarm, or notifying security personnel via mobile devices.

Advancements in Machine Learning and Computer Vision Technologies:

• In recent years, computer vision has become a revolutionary technology that allows computers to understand and interpret visual information like humans. This multidisciplinary field combines computer science, mathematics, and machine learning to process and analyze images and videos. The rapid development of computer vision has created many advances, paving the way for countless applications in many industries. In this article, we will explore the fundamentals of computer vision, dive into its latest developments, and highlight its various real-world applications. The advent of deep learning, especially convolutional neural networks (CNN), has revolutionized computer vision. CNNs excel at image classification tasks, achieving exceptional levels of accuracy by automatically learning hierarchical representations from data. Transfer learning and pre-trained models have further accelerated progress in computer vision applications by enabling knowledge transfer from one domain to another.

Restrains in the Al in Video Surveillance Market:

• Cyber security Risk: While AI can be used to bolster cyber security defenses, there is also the potential for attackers to employ artificial intelligence techniques to enhance their attacks. Adversarial machine learning involves manipulating AI systems by exploiting vulnerabilities or introducing malicious inputs to evade detection or gain unauthorized access. AI can be misused for malicious purposes, such as automating cyber-attacks or creating sophisticated phishing scams. Attackers can leverage AI to launch more targeted and efficient attacks, making it harder for traditional security measures to detect and mitigate them.
• Privacy Concern: AI systems often rely on large amounts of data to train and operate effectively. This raises privacy concerns because collecting and processing sensitive information could expose individuals or organizations to privacy violations. Ensuring good data governance and implementing privacy-preserving AI techniques are essential to maintaining the balance between security and privacy. AI systems often process and analyze large amounts of data, including personal and sensitive information. Systems that are not adequately secured can become targets for unauthorized access or data breaches, potentially exposing individuals' personal information.

Key Opportunities in Al in Video Surveillance Market:

• Integration with Emerging Technologies: By integrating AI algorithms into IoT-enabled surveillance cameras, organizations can analyze video data in real-time to detect anomalies, identify objects or people of interest, and accurately classify them. This improves monitoring by automating the monitoring process and providing actionable insights. Combining AI with IoT devices at the network edge enables real-time processing and analysis of video data without relying solely on cloud resources. This reduces latency and bandwidth usage while improving responsiveness, making the monitoring system more efficient. Leveraging cloud computing to store and process monitoring data provides scalability, flexibility, and accessibility. AI algorithms can be deployed in the cloud to analyze historical video data, train models, and provide advanced analytics, improving the overall intelligence and capabilities of the surveillance system.
• Increasing Retail and Transportation Applications: AI-based video surveillance systems can monitor traffic, detect accidents, and identify congestion hot spots in traffic networks. This information can be used to optimize traffic signals, redirect vehicles, and improve overall traffic safety and efficiency. CCTV cameras equipped with AI algorithms can enhance public safety at transportation hubs such as airports, train stations, and bus stations. These systems can detect suspicious behavior, identify individuals on watch lists, and provide real-time alerts to law enforcement. AI-based surveillance systems can monitor transportation infrastructure such as railways, bridges, and tunnels for signs of damage or vandalism. By enabling early detection of potential threats, these systems help avoid costly disruptions and ensure the integrity of critical assets. AI-powered video surveillance systems can identify suspicious behaviors such as shoplifting or employee theft in retail stores. By analyzing patterns and anomalies, these systems can alert staff to potential incidents in real time, helping to reduce shrinkage and improve profitability.

Al in Video Surveillance Market is segmented based on by Product, by End-user and Region.

Components Insight

• Hardware- This is the largest segment of the market; it includes IP cameras, thermal cameras, graphics processing units, CPUs, network video recorders, networking instruments, and others. Hardware components in AI-powered video surveillance systems work together to capture, process, store, and transmit video data, enabling organizations to enhance security, improve situational awareness, and optimize operational efficiency. For instance, in February 2022, Hikvision announced the launch of its latest TandemVu PTZ camera range, which integrates multiple lenses and bullets in one single unit to provide the big picture and smaller details in tandem. The new range of cameras comes with 100% security coverage without any blind spots, extraordinary image performance, and PTZ and bullet capabilities for efficiency and cost savings.
• Software is the second largest segment of the market and is fast gaining popularity. Software components play a pivotal role in enabling advanced analytics, real-time processing, and intelligent decision-making.
• Services- Service providers offer managed surveillance services to manage and operate AI-based video surveillance systems for organizations comprehensively. This includes remote monitoring, system administration, software updates, and performance optimization to provide organizations with a cost-effective and hassle-free monitoring solution. Consulting firms offer their expertise in designing and planning AI-powered video surveillance systems tailored to organizations' specific needs and requirements. This includes assessing security risks, identifying system goals, and recommending appropriate hardware and software solutions.

Deployment Insight

• Cloud-Based- This is the largest segment of the market. The cloud-based category generates the most revenue. More and more people are expected to start using cloud-based video surveillance in the future because of all its benefits. Scalability is an important factor. Cloud-based AI provides a scalable solution capable of efficiently processing large volumes of video footage as video data generated by security cameras increases exponentially.
• On Premise - This is the second largest segment of the market On-premises deployment typically involves the installation of processing units such as servers, workstations, or network video recorders (NVRs) to handle video processing, analytics, and storage tasks. These units may have high-performance CPUs, GPUs, and storage drives to support real-time video analysis and archiving.

End-User Insights

• Commercial- The commercial segment dominated the AI video surveillance market, mainly due to the increase in the number of security issues related to various applications including enterprises, retailers, financial institutes, and bank. Due to security breaches such as inventory loss, criminal activities, theft and illegal access, various industries have witnessed a significant growth in demand for security solutions.
• Residential- This is the third largest end-use segment of the market. Residential surveillance systems leveraging AI technologies offer homeowners enhanced security, peace of mind, and remote monitoring capabilities to protect their properties and loved ones effectively. However, homeowners need to consider privacy implications and choose surveillance solutions that align with their security needs and privacy preferences.
• Infrastructure—As the second largest segment of the market, this segment is expected to show significant growth. The increasing use of AI video surveillance in infrastructure management globally will drive this segment's growth.
• Defence and Military—AI-powered video surveillance is a force multiplier for defence and military organizations, providing them with advanced capabilities to detect, prevent, and respond effectively to threats to security. By leveraging AI technologies, military forces can improve operational efficiency, protect their personnel and assets, and maintain a strategic advantage in complex and dynamic security environments.
• Public Facility - The growing focus on public safety and security in cities, transit systems, and public areas is a significant motivator. The essential role that video surveillance plays in maintaining the protection of persons and infrastructure is being acknowledged by governments and organizations all over the world
• Industrial—Due to growing security concerns in various industries, the deployment of cameras globally has also increased. The industry shift toward IP cameras has resulted in an increase in hardware-based advancements that improve low-light performance, object tracking, and built-in security.

 Al in Video Surveillance Market Regional Insights:

On region the Al in Video Surveillance Market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

• North American market currently holds the dominant market share of the Al in the Video Surveillance Market and is expected to lead throughout the forecast period due to the growing demand for sophisticated security solutions and the need for effective monitoring in the changing threat environment through sensing Real-time object identification, behaviour analysis, and anomaly detection. These developments enhance security measures across various sectors, including critical infrastructure, public safety, transportation and retail. These developments make proactive monitoring possible.
• Europe is the second largest regional market projected to witness a significant growth rate in the forecast period due to factors like the rising requirement for sophisticated security solutions and the necessity for effective monitoring and crime prevention in a constantly shifting threat environment. AI has completely changed how surveillance systems read and analyse video data, improving their ability to recognize and efficiently address security concerns.
• Asia Pacific is one of the most important regions where AI-based video surveillance systems are being used to reduce crime and generate real-time data to feed the system. Being the hub of the IT industry, this region has benefited from the help of AI facility monitoring in attracting several international companies for investment purposes, revenue generation, attracting FDI and establishing secure commercial prospects for the facility. Additionally, China's AI in the video surveillance market holds the largest market share, and India's AI in the video surveillance market is the fastest-growing market in the Asia-Pacific region.
• The Latin America region is expected to show steady growth due to developing healthcare sectors and increasing awareness about the benefits of AI in video surveillance.
• Middle East & Africa: The Al in Video Surveillance Market in this region is expected to witness significant growth in the coming years, driven by several factors, such as the rapidly growing use of AI for various applications.

Al in Video Surveillance Market Report Scope:

Attribute	Details
Market Size 2024	US$ 6.75 Billion
Projected Market Size 2034	US$ 24.89 Billion
CAGR Growth Rate	15.4%
Base year for estimation	2023
Forecast period	2024-2034
Market representation	Revenue in USD Billion & CAGR from 2024 to 2034
Market Segmentation	By Components-   Hardware, Software, Services By Deployment- Cloud-Based, On Premise By End User- Commercial, Residential, Infrastructure, Defence and Military, Public Facility, Industrial
Regional scope	North America - U.S., Canada Europe - UK, Germany, Spain, France, Italy, Russia, Rest of Europe Asia Pacific - Japan, India, China, South Korea, Australia, Rest of Asia-Pacific Latin America - Brazil, Mexico, Argentina, Rest of Latin America Middle East & Africa - South Africa, Saudi Arabia, UAE, Rest of Middle East & Africa
Report coverage	Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments Covered in the Report:

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2024 to 2034. For the purpose of this study, has segmented the Al in Video Surveillance Market report based on By Product, By End-User and Region:

Al in Video Surveillance Market, By Component:

• Hardware
• Software
• Services

Al in Video Surveillance Market, By Deployment:

• Cloud-Based
• On Premise

Al in Video Surveillance Market, By End-User:

• Commercial
• Residential
• Infrastructure
• Defence and Military
• Public Facility
• Industrial

Al in Video Surveillance Market, By Region:

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • Israel
  • South Africa
  • Rest of Middle East & Africa

The key players operating the Al in Video Surveillance Market includes, Hangzhou Hikvision Digital Technology Co., Ltd., Dahua Technology Co., Ltd., Avigilon Corporation, Milestone Systems A/S, YITU Tech, SenseTime, Rosco Vision, Cisco Systems Inc., Eagle Eye Networks, and Agent Video Intelligence Ltd.

Disclaimer: This data is only a representation. Actual data may vary and will be available in the report.

• In February 2023, Google Cloud and Accenture announced new initiatives to help retailers modernize their businesses and benefit from cloud technology, including updates for Accenture's widely used AI. The retail platform integrates Google Cloud's leading data analytics, AI, and product discovery capabilities. Additionally, the two companies have agreed to launch go-to-market campaigns to equip retailers with the technology and tools they need to transform store operations, leveraging the achievements of their collaboration.
• In March 2023, Irisity AB (publ), a company specializing in advanced video analytics, announced the release of Irisity Edge for Axis. Customers will receive a comprehensive, intelligent video security system combining the best video analytics with market-leading surveillance cameras. The system runs Irisity's AI perimeter security algorithms built into Axis cameras without additional hardware. Irisity Edge for Axis combines Irisity's industry-leading video analytics capabilities based on deep learning AI and machine learning models with Axis Camera Application Platform (ACAP) video devices. 
• In August 2022,  MIT subsidiary Derq, a provider of real-time AI analytics solutions for  roads and connected vehicles, partnered with distributor Paradigm Traffic Systems to provide solutions video analytics solutions for AI and connected infrastructure in Texas. Derq's advanced technologies will combine Paradigm's strong market presence and long-standing customer relationships to improve Texas's highway safety and smart transportation infrastructure.

• Hangzhou Hikvision Digital Technology Co., Ltd.
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Overview
  • Business Strategy Overview
• Dahua Technology Co., Ltd.
• Avigilon Corporation
• Milestone Systems A/S
• YITU Tech
• SenseTime
• Rosco Vision
•  Cisco Systems Inc.
•  Eagle Eye Networks
• Agent Video Intelligence Ltd.

“*” marked represents similar segmentation in other categories in the respective section.

Research Objective and Assumption

• Preface
• Research Objectives
• Study Scope
• Years Considered for the study
• Assumptions
• Abbreviations

Research Methodology

• Research data
• Primary Data
  • Primary Interviews
  • Primary Breakdown
  • Key data from Primary Sources
  • Key Thickness Insights
• Secondary Data
  • Major Secondary Sources
  • Secondary Sources
• Market Estimation
• Top-Down Approach
  • Approach for estimating Market Share by Top-Down Analysis (Supply Side)
• Bottom-Up Approach
  • Approach for estimating market share by Bottom-up Analysis (Demand Side)
• Market Breakdown and Data Triangulation
• Research Assumptions

Market Preview

• Executive Summary
• Key Findings—Global Outlook for AI in Video Surveillance Strategies
  • Key Questions this Study Will Answer
  • Market Snippet, By Component
  • Market Snippet, By Deployment
  • Market Snippet, By End User
  • Market Snippet, By Region
• Opportunity Map Analysis
• Executive Summary—3 Big Predictions

Market Dynamics, Regulations, and Trends Analysis

• Market Dynamics
  • Drivers
  • Restrains
  • Market Opportunities
  • Market Trends
• DR Impact Analysis
• PEST Analysis
• Porter’s Five Forces Analysis
• Opportunity Orbit
• Market Investment Feasibility Index
• Macroeconomic Factor Analysis

Market Segmentation, By Component, Forecast Period up to 10 Years, (US$ Bn)

• Overview
  • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Hardware
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Software
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Services
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By Deployment, Forecast Period up to 10 Years, (US$ Bn)

• Overview
  • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Cloud-Based
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• On Premise
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By End User, Forecast Period up to 10 Years, (US$ Bn)

• Overview
  • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Commercial
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Residential
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Infrastructure
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Defence and Military
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Public Facility
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Industrial
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Global Market, By Region, Forecast Period up to 10 Years, (US$ Bn)

• Overview
  • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Regional Trends
• North America
  • Market Size and Forecast (US$ Bn), By Component, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Deployment, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By End User, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
    • U.S.
    • Canada
• Europe
  • Market Size and Forecast (US$ Bn), By Component, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Deployment, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By End User, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
    • UK
    • France
    • Germany
    • Russia
    • Italy
    • Rest of Europe
• Asia Pacific
  • Market Size and Forecast (US$ Bn), By Component, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Deployment, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By End User, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
    • India
    • Japan
    • South Korea
    • China
    • Rest of Asia Pacific
• Latin America
  • Market Size and Forecast (US$ Bn), By Component, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Deployment, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By End User, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
    • Brazil
    • Mexico
    • Rest of Latin America

• Middle East & Africa
  • Market Size and Forecast (US$ Bn), By Component, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Deployment, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By End User, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
    • GCC
    • Israel
    • South Africa
    • Rest of Middle East

Competitive Landscape

• Heat Map Analysis
• Market Presence and Specificity Analysis

Company Profiles

• Hangzhou Hikvision Digital Technology Co., Ltd.,
• Dahua Technology Co., Ltd.
• Avigilon Corporation
• Milestone Systems A/S
• YITU Tech
• SenseTime
• Rosco Vision
•  Cisco Systems Inc.
•  Eagle Eye Networks
• Agent Video Intelligence Ltd.

The Last Word

• Future Impact
• About Us
• Contact