The AI Video Analytic Market is being driven by Expanding demand for actionable intelligence beyond security
The AI Video Analytic Market is expected to grow at a CAGR of 31.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 13998.8 million. The global AI video analytic market is experiencing a significant shift towards edge computing, a trend that sees analysis being conducted directly on cameras or nearby appliances rather than transmitting raw video streams to central servers or the cloud. This architectural change, driven by the demands for real-time response, heightened data privacy, and operational efficiency, is facilitated by the rapid advancements in semiconductor technology. Specifically, the development of powerful yet energy-efficient systems-on-a-chip (SoCs) equipped with dedicated neural processing units (NPUs) or deep learning accelerators (DLAs) is enabling this transition. This evolution is not merely an alternative deployment option but a fundamental reconfiguration of video data processing infrastructure.
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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 |
249 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 31.7% |
Market growth 2025-2029 |
USD 13998.8 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
28.1 |
Key countries |
US, China, India, Japan, Germany, UK, France, Canada, South Korea, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI video analytic market encompasses solutions for managing and deriving insights from video data through the use of artificial intelligence. Applications include smart city surveillance, retail analytics, and traffic monitoring systems. Integration with security cameras enables incident detection, loss prevention, and operational efficiency gains. Public safety and customer experience enhancements are also key benefits. Deployment of video analytics APIs provides real-time alert generation, automated video review, and customized solutions. Performance monitoring metrics, data encryption, and privacy-preserving AI are essential considerations. Scalable, high-throughput, and low-latency video processing are necessary for handling large volumes of data. Explainable AI methods, bias mitigation techniques, and AI ethics considerations ensure transparency and fairness. Model training datasets and explainable AI methods provide actionable business insights for evidence-based decision-making.
The AI video analytic market is a segment of the global application software industry, focusing on computer vision algorithms, video object detection, and real-time video processing using deep learning models. Companies in this market develop and provide specialized software solutions for businesses, enabling advanced video analysis capabilities. Technavio's market analysis calculates the market size based on the combined revenue generated by these companies, offering cutting-edge video analytic software solutions.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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