AI in Video Surveillance Market Analysis

Based on the use cases, the gun detection segment is poised to witness over 15% CAGR from 2024 to 2032. Gun detection technology has emerged as a critical component in the market, leveraging semantic networks to enhance its capabilities. Semantic networks, a form of artificial intelligence, enable systems to understand the relationships between different entities within a given context, facilitating more accurate and contextualized analysis of video data.

Furthermore, semantic networks enable interoperability and integration with other AI-based modules within the surveillance ecosystem. For example, gun detection algorithms can communicate with facial recognition systems to identify individuals carrying firearms or with object tracking modules to monitor the movement of weapons within a monitored area. This holistic approach enhances the overall effectiveness of video surveillance systems in detecting and responding to potential security threats, making semantic networks a valuable tool in the evolving landscape of AI-powered video surveillance.

Based on the end user, the commercial segment held over 30% of the AI in video surveillance market share in 2023. In the commercial segment, AI-powered video surveillance systems offer various benefits tailored to the specific needs of businesses. These systems can detect and deter theft, vandalism, and unauthorized access in retail environments, thereby reducing losses and enhancing safety for employees and customers.

Additionally, AI algorithms can analyze customer behavior and preferences, providing valuable insights for marketing, merchandising, and operational decision-making. Furthermore, commercial establishments leverage AI-driven video analytics to improve operational efficiency and customer service. For instance, real-time monitoring of foot traffic can help optimize staffing levels and queue management, while video analytics can identify maintenance issues or safety hazards before they escalate.

North America AI in video surveillance market accounted for 25% of the revenue share in 2023. With rising security threats and incidents, there is a growing demand for advanced surveillance solutions in North America. AI-powered video surveillance offers enhanced capabilities such as real-time threat detection, facial recognition, and behavior analysis, making it a preferred choice for security applications in the region.

North America is home to many leading technology companies and research institutions driving innovations in artificial intelligence and video analytics. These advancements enable the development of sophisticated AI algorithms that can automatically detect and classify objects, people, and activities in video feeds with high accuracy, further fueling the adoption of AI in video surveillance.