PUBLISHER: Grand View Research | PRODUCT CODE: 1530128
PUBLISHER: Grand View Research | PRODUCT CODE: 1530128
The global AI in video surveillance market size is expected to reach USD 28.76 billion by 2030, registering to grow at a CAGR of 28.1% from 2024 to 2030 according to a new report by Grand View Research, Inc. Rapid advancements in deep learning and computer vision technologies have significantly improved the accuracy and capabilities of AI-powered video analytics. These technologies enable features like facial recognition, object detection, and behavior analysis, which are increasingly being integrated into video surveillance systems to enhance security and operational efficiency. Deep learning algorithms can analyze video footage in real time, detecting and identifying individuals, vehicles, and other objects with a high degree of accuracy. Computer vision techniques, such as object tracking and motion analysis, allow video surveillance systems to monitor and analyze complex scenes, providing valuable insights that can be used to improve security, optimize operations, and enhance decision-making.
Technological advancements have resulted in highly specialized surveillance cameras that can be programmed to zoom in and scan items, such as harmful equipment. These factors are driving the market for AI in video surveillance hardware. The development of high-resolution, low-light, and weatherproof cameras with advanced features like object tracking, facial recognition, and license plate recognition has significantly improved the capabilities of video surveillance systems. In addition, the integration of AI and machine learning algorithms into camera hardware has enabled real-time analytics and intelligent decision-making at the edge, reducing the need for constant data transmission to centralized servers or the cloud.
The North America AI-driven video surveillance market is expected to witness significant growth, driven by the increasing adoption of AI-powered surveillance systems. AI-driven video analytics can analyze vast amounts of video data in real time, enabling faster and more accurate threat detection and response. This trend is driven by the growing need for enhanced security and surveillance capabilities in various industries, including retail, healthcare, and finance. As a result, AI-powered surveillance systems are becoming increasingly popular among organizations seeking to improve their security and operational efficiency.