China Video Analytics Market Overview, 2030

Having integrated these technologies throughout the public and private sectors at an unheard-of scale, China is a worldwide leader in facial analytics and AI-based surveillance. In China, a national plan centered on public safety, crime prevention, urban governance, and social stability has fueled the growth of video analytics. In rural towns and busy megacities like Shanghai and Shenzhen, facial recognition, behavior tracking, and anomaly detection systems are now firmly established in everyday life. These devices are crucial for traffic management, crowd surveillance, and even deterring small crimes. Leading local businesses like SenseTime, Hikvision, Megvii, and Dahua provide strong end-to-end AI stacks that combine real-time facial recognition, behavioral analysis, and alerting systems to support China's video analytics infrastructure. Some of these remedies also include machine learning algorithms that enable contextual monitoring, such as detecting loitering, aberrant behavior, or huge crowds. Real-time alert systems are connected to national police databases, allowing for immediate cross-referencing and location-based monitoring, which law enforcement uses for a variety of tasks, from identifying missing individuals to tracking known suspects. It is noteworthy that China's advancements in this industry are heavily supported by state funding and policy backing, particularly through national programs like ""Skynet"" and ""Sharp Eyes,"" which have facilitated the quick installation of surveillance networks in both urban and rural areas. Advanced applications such as real-time citizen behavior analysis and predictive policing have become possible due to the integration of big data, cloud computing, and artificial intelligence. China's significant investment in research and development has facilitated the fast development of its video analytics ecosystem, which now sets international standards for accuracy, scalability, and integration. Consequently, the nation now has the world's most comprehensive and advanced video surveillance system, which is increasingly used for retail analytics, urban planning, and public health monitoring government and law enforcement.

According to the research report, ""China Video Analytics Market Overview, 2030,"" published by Bonafide Research, the China Video Analytics market is anticipated to grow at more than 22.09% CAGR from 2025 to 2030. The nation's aggressive adoption of smart city technologies, national security initiatives, and state-led investments in AI are driving this expansion. Several large Chinese cities unveiled next-generation AI-powered surveillance platforms in 2024, combining cloud-based command centers with facial recognition, behavioral analysis, and biometric profiling. These platforms are a component of China's larger effort to promote the digitization of its cities and the automation of its public safety administration. By providing comprehensive video analytics systems catered for both government and commercial markets, market leaders such as Hikvision, Dahua Technology, and SenseTime are at the forefront. These businesses offer cutting-edge technologies like license plate identification, real-time video stream analysis, multi-object tracking, and cross-camera person re-identification, which enable authorities and enterprises to have predictive and reactive capabilities. Their offerings' scalability, ranging from single-building configurations to nationwide grid integrations, makes them essential participants in China's surveillance infrastructure. Major prospects for expansion may be found in the areas of metro security, public facility monitoring, school campus safety, and smart traffic management. Analytics for facial-based ticketing, behavior detection in public areas, and AI-driven traffic signals are already being used in cities like Hangzhou and Chongqing. The need for advanced video analytics in urban planning, event security, and industrial regions keeps increasing as the nation moves closer to AI-driven governance. Under the direction of the Ministry of Science and Technology, China enforces AI ethics review procedures and mandates CCC China Compulsory Certification for video gear in order to control the quick growth of AI surveillance. These frameworks seek to strike a balance between innovation and national and personal security issues by addressing data accuracy, algorithm transparency, and adherence to biometric privacy. This governance layer increases trust in Chinese AI technologies and enhances their ability to compete worldwide.

China's vibrant video analytics industry by type is divided into software and services. Both elements are essential to the operation of AI-based surveillance systems employed in transportation, retail, public infrastructure, and smart city industries. The foundation of the ecosystem is the software sector, which includes facial recognition algorithms, license plate recognition LPR, anomaly detection, behavioral analytics, video management systems VMS, and AI analytics engines. Businesses such as SenseTime, Hikvision, Dahua, and Megvii are at the forefront of creating software for the local market that is specifically designed for real-time analysis, deep learning optimization, and extensive data integration. Chinese software offers capabilities like multi-camera tracking, cross-platform integration, and predictive analytics, all while being built for optimal performance across edge, cloud, and hybrid infrastructures. The increasing utilization of AI models trained on local data sets has greatly improved software accuracy in areas like mask detection, gait identification, and age/gender prediction, making them useful for retail marketing, smart homes, and education as well as public safety. The software offering is complemented by the services sector, which provides managed monitoring, cloud hosting, maintenance, and system integration solutions. Government initiatives like the Safe City and Smart Campus programs often depend on long-term service agreements in which vendors like Alibaba Cloud, China Telecom, and Huawei Cloud offer infrastructure support and AI-as-a-Service AIaaS. Service providers also provide assistance with regulatory compliance, making sure adherence to biometric data rules, CCC certification, and algorithm transparency under China's developing AI governance policies. The software and services continue to develop in tandem as a result of ongoing advancements in urban security infrastructure and increased deployment of AI-powered platforms across tier-2 and tier-3 towns. Real-time analytics, big data, and cloud services are coming together in China to make video analytics not just a product offering but a national-level solution stack that promotes surveillance modernization.

Chinese video analytics market by deployment is divided into cloud-based and on-premises solutions. Both deployment methods address a wide range of operational requirements, security requirements, and data governance rules, especially in industries like retail, manufacturing, education, transportation, and public safety. The cloud-based deployment approach has gained significant traction in recent years thanks to developments in 5G infrastructure, edge computing, and national digitalization initiatives. Scalable, AI-integrated solutions for real-time video processing, storage, and remote access are provided by cloud analytics platforms from Huawei Cloud, Alibaba Cloud, and Tencent Cloud. For their flexibility, reduced initial expenses, and simplicity of central monitoring across extensive, dispersed networks, these solutions are a favorite in smart city initiatives. The rising demand for AI-as-a-Service AIaaS, where businesses may integrate advanced video analytics features like facial recognition, object detection, and anomaly monitoring without having to manage physical infrastructure, is also in line with cloud deployment. Retail chains, schools, hospitals, and city-wide command centers all employ cloud-based technologies for real-time response and data-driven decision-making. In comparison, in industries with high sensitivity to data sovereignty, latency, and network dependency, such as the military, border security, metropolitan surveillance, and sensitive government facilities, on-premises deployment continues to be the most prevalent. By keeping video data inside the facility's firewall, local analytics servers lessen the risk of privacy breaches, hacking attacks, and regulatory breaches. Businesses such as Hikvision, Dahua, and Uniview provide full on-premises analytics systems with configurable AI modules for crowd management, behavior analysis, and license plate recognition. Although cloud adoption is growing rapidly, on-premises systems continue to be necessary in situations where real-time decision-making, stringent latency controls, and total data control are essential. China's dual focus on digital infrastructure and cybersecurity, along with the coexistence of both deployment models, ensures that users can successfully align their video analytics architecture with operational and regulatory requirements.

The market for video analytics in China, by application is divided into including facial recognition, crowd management, intrusion detection, motion detection, license plate recognition LPR, and other cutting-edge applications. Facial recognition, which is widely used in airports, metro stations, public squares, and even school campuses, is the most prominent of these. Facial recognition systems, which are supported by AI giants such as SenseTime, Megvii, and Hikvision, are integrated with police and civil databases to improve public safety and administrative automation by enabling real-time identification, behavior profiling, and attendance monitoring. Another essential use is crowd control, particularly in China's enormous metropolitan transportation networks, fairs, and tourist attractions. Authorities can utilize AI-powered crowd heatmaps, people counting, and density analysis tools to avoid stampedes, improve traffic flow, and strengthen emergency response systems. These systems are crucial for organizing events on a large scale and form the basis of the Smart City platforms used in cities like Beijing and Hangzhou. In places like logistic parks, government buildings, and residential communities, where perimeter security and suspicious activity alerts need to be operational around the clock, intrusion detection and motion detection are used often. These systems lessen the need for human monitoring and aid in automating threat identification and response by providing real-time notifications and video feeds. Due to its widespread use in traffic enforcement, toll collection, and smart parking, license plate recognition LPR enables cities to enhance road discipline, congestion management, and automated vehicle access. Chinese cities combine LPR data with citizen credit systems and urban mobility platforms for a greater governance impact. Apps in the others category, such as helmet detection, thermal monitoring, PPE compliance, and gesture recognition, are becoming more and more common in industries like factories, hospitals, and smart retail. China's video analytics applications are still transitioning from passive surveillance to active, predictive, and adaptive intelligence systems as AI models get more complex, supporting its position as a world leader in AI-enabled security technologies.

Considered in this report
• Historic Year: 2019
• Base year: 2024
• Estimated year: 2025
• Forecast year: 2030

Aspects covered in this report
• Video Analytics Market with its value and forecast along with its segments
• Various drivers and challenges
• On-going trends and developments
• Top profiled companies
• Strategic recommendation

By By Type
• Software
• Services

By Deployment
• Cloud
• On-Premises

By Application
• Crowd Management
• Facial Recognition
• Intrusion Detection
• License Plate Recognition
• Motion Detection
• Others

By Vertical
• BFSI
• Smart Cities
• Critical Infrastructure
• Education
• Government
• Retail
• Transportation
• Others Show more