AI in Video Surveillance Market Size & Trends:

The AI in Video Surveillance Market Size was valued at USD 4.54 Billion in 2023 and is expected to reach USD 33.21 Billion by 2032 and grow at a CAGR of 24.77% over the forecast period 2024-2032. The AI in video surveillance technology is nurturing faster due to the rise of government laws that imitate AI-based analytics for enhanced monitoring and decision-making. Additionally, the integration of IoT devices further broadens the potential of surveillance systems, allowing for instant data transfer and more intelligent responses.

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Threat detection and prevention with real-time perimeter security is also made possible through AI. Moreover, AI-powered event detection systems also automatically detect and alert teams regarding security breaches or suspicious activities. In the Bay Area of California, shops such as Laurel Ace Hardware have implemented AI programs from companies like Veesion to sift through camera video, leading to drastically lowered rates of theft. Such developments highlight the increasing popularity and influence of AI in video surveillance in the U.S. across sectors.

The U.S. AI in Video Surveillance Market is estimated to be USD 1.03 Billion in 2023 and is projected to grow at a CAGR of 24.53%. With AI analytics, Internet of Things (IoT) integration, perimeter security, and event detection, the U.S. AI in the video surveillance market is highly growing across various sectors.

AI Video Surveillance Market Dynamics

Key Drivers: 

• AI-Based Surveillance Systems Drive Growth in Security for Government Transportation Retail and Critical Infrastructure Sectors

Rising security threats from the government, transportation, retail, and critical infrastructure sectors have led to the increasing deployment of AI-based surveillance systems. Due to the pressing need for improved urban area security and increasing incidence of crime, demand for advanced surveillance technologies is increasing for organizations across the globe. Recent developments in AI with machine learning algorithms to provide better accuracy and efficiency for video analytics, make real-time surveillance even more powerful. The growing trend of automation and smart city projects is another reason for the growth of the market.

Restrain:

• Privacy Concerns and Regulatory Challenges Rise as AI Surveillance Faces Public Backlash and Legal Restrictions

Another key issue is the use of surveillance technology, especially facial recognition, risking mass invasion of privacy. But when AI systems detect people on both the street and in the office, the potential for malicious use/misuse becomes more tentacled, triggering regulatory attention and public outcry. Many countries and areas are passing or considering laws that may limit or regulate AI surveillance, making it increasingly challenging for companies to deploy these kinds of systems at scale in the future. At the same time, public backlash against AI-driven surveillance systems, particularly around the use of data collection, storage, and the risk of biased results, has increased.

Opportunity: 

• AI Video Surveillance Market Expands with Opportunities in Facial Recognition Intrusion Detection and IoT Integration

AI video surveillance market has plenty of opportunities including facial recognition, intrusion detection, and traffic flow analysis. Artificial Intelligence & Internet of Things (IoT) AI and IoT objects have enormous scalability and scope for potential application development. That would not be unexpected, considering now governments and enterprises are more willing to deploy some kinds of AI-powered surveillance in the name of public safety, crime reduction, as well as operational effectiveness. The emergence of smart homes and self-driving cars also creates new frontiers for AI surveillance applications, including for things like parking management and vehicle recognition. As the tech matures, more industries will introduce AI-powered surveillance for increased security and greater functional advantages.

Challenges:

• Integration Complexity and Skill Gaps Challenge Widespread Adoption of AI-Powered Surveillance Systems Across Industries

The main problem is the complexity of implementation and integration. Integrating AI-powered surveillance systems with existing infrastructures proves difficult for many organizations. Adding to the complexity of adoption is a lack of specialized skills to manage and glean insights from AI analytics. In addition, achieving accuracy and mitigating bias in AI models is technically challenging, requiring significant training and fine-tuning of the systems. Such difficulties can delay the adoption process, particularly in areas or industries lacking in technological know-how, and represent an obstacle to wider market growth.

AI in Video Surveillance Market Segmentation Overview

By Offering

Hardware accounted for the largest share of AI in the video surveillance market, at 39.7%, in 2023. Hardware has been a leader in video surveillance systems since infrastructure components like cameras, sensors, and processors are vitally needed. Refers to the hardware components required to power video capture, real-time data processing, and AI analytics integration. Consequently, there is a continued appetite for high-end surveillance hardware, particularly where physical security is seen as an absolute necessity.

Software is anticipated to experience the highest CAGR from 2024-2032. The growth is attributed to rising demand for high-end video analytics with cloud storage solutions and AI-powered software systems that provide an upgrade to surveillance systems. With the evolution of AI algorithms, the software will be used as a vital tool to automate surveillance tasks such as facial recognition, intrusion detection, and real-time analysis, stimulate innovation, and bring a substantial level of efficiency and scalability to video surveillance. The transformation of market delivery mechanisms to QA-powered software solutions may seem like a gradual process, however, this is where we are heading shortly.

By Deployment

The AI in video surveillance market by deployment in 2023 was dominated by cloud-based solutions, accounting for a market share of 60.2%. This is due to the benefits that cloud solutions provide, including elasticity,  remote access, and video storage space without the physical storage infrastructure. Particularly for businesses with distributed sites or multi-location operations, cloud platforms also facilitate real-time data processing, smooth integration with artificial intelligence analytics, and centralized management.

From 2024 to 2032,  the on-premises solutions growth rate will be the highest. Rising doubts about data security and privacy are compelling organizations to favor on-premises systems with greater control over sensitive information. In addition, on-premises systems are ideal for use cases where there is no reliable internet connection or low-latency processing is necessary. The move to on-premises deployments is predicted to support market growth, especially in sectors with high-security demands.

By Use Cases

Intrusion detection captured a significant share of AI in the video surveillance market and accounted for 28.4% in 2023. This is primarily due to its extensive use in residential, commercial, and industrial places, where security is one of the priorities. In addition to the criticality of being a property or asset-invasive system with intrusion detection operating with AI naturally provides alerts in the real term and can detect unauthorized access.

Facial recognition is projected to have the highest CAGR from 2024 to 2032. The growth of facial recognition technologies is attributed to the high precision and accuracy of algorithms over the years and increased attention towards security and authentication-based systems. The technology is being widely adopted in public safety, law enforcement, retail, and access control because of its capability of identifying and verifying persons with improved accuracy, speed, and throughput in crowded places. Facial recognition is likely to change the surveillance landscape by providing higher security and automation as the technology matures and privacy issues are resolved.

By End-use

The commercial vertical segment accounted for the largest share of 31.4% of the artificial intelligence in the video surveillance market in 2023. The increasing need for high security in commercial places like retail shops, offices, and warehouses has area the adoption of AI-enabled surveillance methods. Retail is an important commercial market for AI surveillance, with real-time monitoring leading to the prevention of theft and enhanced safety for customers and workers alike.

The military and defense sector is anticipated to have the highest CAGR from 2024 to 2032. This growth is primarily fueled by the increasing demand for advanced surveillance and intelligence gathering in defense applications. Surveillance systems with AI capabilities provide greater advantages when it comes to border defense, diagnosing threats, and reconnaissance applications in military operations. The proliferation of AI surveillance technologies in the military and defense will also be driven by an increased emphasis on national security and the emergence of smart defense systems, which will impact security mechanisms in the military and defense domain as well.

AI in Video Surveillance Market Regional Analysis

North America held the highest AI in video Surveillance Market share of 31.7% for 2023 and is expected to dominate with a growth rate through the forecast period. This dominance can be largely credited to the availability of technically advanced infrastructure, the presence of robust security policies & regulations, and the early adoption of AI-powered surveillance solutions in the region. The United States and Canada are leaders in implementing artificial intelligence (AI) technology for commercial, residential, and, government facilities. For example, AI surveillance systems are spreading globally in cities such as New York under the guise of public safety through the use of facial recognition and in corporate environments, such as Silicon Valley that are surveilling workers using AI-powered systems for building entry and employee monitoring for health and safety.

The region that is anticipated to show the highest CAGR rate during forecast years 2024 to 2032 is Asia Pacific. This growth is being driven by the rapid expansion of urbanization in the region, increasing investment in smart city initiatives, and a focus on security technologies. With growing security threats now taking center stage in most countries, nations like China and India are embracing AI in surveillance for a safer future. For example, in cities such as Beijing and Shanghai, the Chinese Communist Party has rolled out AI-based surveillance and facial recognition and behavior analysis technologies integrated into infrastructure so that public spaces and transportation systems are monitored to maintain security. In the case of India where urban centers are booming and safety is a necessity in fast-track developing cities. The AI-based surveillance system is gaining interest due to such benefits.

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Key Players

Some of the major players in the AI in Video Surveillance Market are:

• Hikvision (DeepinView Series)

• Dahua Technology (AI-powered PTZ Camera)

• Axis Communications (Axis Perimeter Defender)

• Bosch Security Systems (Autodome IP Starlight 7000i)

• Hanwha Techwin (Wisenet P Series)

• FLIR Systems (FC-Series ID)

• Vivotek (MD8560)

• Samsung Techwin (Wisenet X Series)

• Geovision (GV-VMS AI Surveillance Software)

• PureTech Systems (PureActiv AI)

• Avigilon (H4 Fisheye Camera)

• Mobotix (M73)

• Uniview (IPC3624LR3-ADS)

• Netvue (AI Video Doorbell)

• BriefCam (Video Synopsis Platform)

Recent Trends

• In April 2024, Hikvision launched its next-generation NVR 5.0 Series, integrating advanced AI and IoT for enhanced video surveillance capabilities.

• In October 2024, Dahua launched five AI-powered solutions designed to enhance security monitoring for small and medium-sized businesses (SMBs). These solutions include fire lane parking detection, overspeed detection, and advanced loss prevention, revolutionizing SMB security operations.