The AI In Video Surveillance Market is being driven by Escalating concerns for public safety and security
The AI In Video Surveillance Market is expected to grow at a CAGR of 22.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 10895.8 million. The AI in Video Surveillance Market is experiencing a significant shift towards edge computing, which is revolutionizing the structure and accessibility of intelligent surveillance systems. This trend entails transferring AI workloads from centralized cloud servers or on-premises recorders to the network edge, typically onto the surveillance camera itself or a nearby edge appliance. This architectural transformation is fueled by a convergence of essential market requirements, including reduced latency, decreased bandwidth utilization, heightened data privacy, and enhanced system robustness. By executing analytics functions such as object recognition, categorization, and behavioral analysis at the edge, the system can generate alerts and instigate responses in close to real time. This capability is indispensable for mission-critical security applications, like instant intrusion detection or traffic incident warnings.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
256 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 22.7% |
Market growth 2025-2029 |
USD 10895.8 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
20.0 |
Key countries |
US, China, Germany, India, UK, Japan, South Korea, Canada, France, and Australia |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI in Video Surveillance Market encompasses advanced technologies such as video data annotation, CCTV camera integration, human pose estimation, activity recognition models, object tracking algorithms, and video analytics software. It also includes visual search technology, image processing techniques, and machine learning algorithms, as well as deep learning frameworks for enhanced security. Data security measures and privacy enhancing technologies are crucial components, along with video quality enhancement, remote video monitoring, and video analytics dashboards. Alert notification systems, data visualization tools, and risk assessment systems ensure effective security management. Security camera calibration, video streaming protocols, facial recognition software, multi-camera tracking systems, and intelligent video insights are additional features. Proactive security measures, real-time security alerts, and automated incident reporting complete the offerings of this market.
The AI in Video Surveillance market is a segment of the global application software industry, specifically focusing on object detection algorithms, video analytics platforms, and facial recognition technology. These solutions enable advanced security features, such as real-time threat detection and identification of individuals. Technavio's market analysis calculates the market size based on the consolidated revenue of companies providing IT software for video surveillance, ensuring comprehensive coverage of both on-premises and cloud-based offerings. This market caters to businesses seeking to enhance their security systems with intelligent video analytics.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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