Asia-Pacific Video Analytics Market Outlook, 2030

The Asia Pacific video analytics market is experiencing substantial growth, driven by increasing demand for intelligent surveillance systems, expanding smart city initiatives, and rising concerns over public safety across countries like China, India, Japan, South Korea, and Australia. This market is witnessing a rapid shift from traditional CCTV systems to advanced video analytics solutions powered by artificial intelligence (AI), machine learning, and cloud computing. The demand is especially high in sectors such as transportation, retail, banking, manufacturing, and government infrastructure, where real-time monitoring and threat detection have become critical.

The region is their ability to provide actionable insights through real-time processing, enabling quick responses to incidents and enhancing decision-making. Innovations in AI-driven video analytics have led to enhanced accuracy in object and people detection, reduced false alarms, and improved event prediction capabilities. In January 2025, Jaipur International Airport announced the implementation of the Perimeter Intrusion Detection System (PIDS). The PIDS is designed to prevent security violations along the airport's 15 km perimeter. It employs cutting-edge fiber-optic sensors, laser barriers, ground-based radar, video monitoring, and data analysis. Companies such as Hikvision, Dahua, Panasonic, and NEC are leading the charge with integrated AI and IoT-powered surveillance platforms that are transforming urban and commercial security landscapes. The market is also shaped by strong governmental support for smart city projects, particularly in China and India, where urban planning and public safety are intertwined with advanced video monitoring systems. However, as the technology evolves, regulatory frameworks are being developed to address privacy concerns, especially regarding facial recognition and data protection. Countries like India have introduced laws such as the Digital Personal Data Protection Act, while others, including Australia and Japan, are tightening cybersecurity and data privacy regulations. This has pushed vendors to adopt privacy-by-design models, incorporating features such as data anonymization, encrypted storage, and policy-based access control.

According to the research report "Asia Pacific Video Analytics Market Outlook, 2030,", the Asia Pacific Video Analytics market is anticipated to grow at more than 22.56% CAGR from 2025 to 2030. The primary growth factor is the booming adoption of smart city initiatives across major economies such as China, India, Singapore, and South Korea. These governments are investing heavily in urban surveillance, intelligent traffic systems, and public safety solutions that rely on real-time video analytics.

For instance, China’s “Skynet” and “Sharp Eyes” programs involve massive deployment of intelligent surveillance networks with facial recognition and behavioral analytics capabilities, covering both urban and rural areas. Similarly, India’s Smart Cities Mission has led to the integration of video analytics for traffic management, crime prevention, and disaster response. In December 2024, Milestone Systems merged with Canon-owned BriefCam and Arcules to enhance its AI-powered video analysis and cloud solutions in India. A major technological enabler of this growth is the advancement in AI and deep learning algorithms, which have drastically improved the accuracy and capabilities of video analytics solutions. Leading vendors are incorporating AI at both cloud and edge levels, enabling functionalities like object detection, facial matching, and real-time alert systems with minimal latency. Companies such as Hikvision, Dahua, and NEC have launched AI-enabled cameras and analytics platforms tailored for Asia Pacific markets, offering localized features like mask detection and social distancing monitoring in response to the COVID-19 pandemic. The widespread deployment of 5G networks is another significant factor, enhancing the bandwidth and speed necessary for real-time video streaming and analysis, particularly in surveillance-heavy environments like airports, stadiums, and urban intersections. In March 2025, iMOVE Australia used drone video analysis to study driver behaviour at 50+ Perth roundabouts for improved safety.

Market Drivers

• Rapid Urbanization and Smart City Projects: One of the primary drivers of the Asia-Pacific video analytics market is the rapid urbanization across major economies such as China, India, South Korea, and Southeast Asia. Governments in these regions are heavily investing in smart city programs that incorporate intelligent surveillance systems as part of urban infrastructure development. Video analytics plays a vital role in traffic management, law enforcement, disaster response, and public safety monitoring. Cities like Singapore, Shenzhen, and Tokyo are deploying AI-enabled cameras for facial recognition, real-time crowd detection, and traffic violation monitoring. These initiatives aim to improve quality of life, reduce crime, and enhance operational efficiency in congested urban environments substantially boosting demand for advanced video analytics solutions.
• Growing Threat of Crime, Terrorism, and Border Security Issues: With increasing regional instability, cross-border tensions, and rising urban crime rates, many Asia-Pacific countries are strengthening their national surveillance networks. Governments and defense agencies are adopting video analytics for perimeter security, threat detection, and critical infrastructure protection. Countries like India and China are particularly focused on border surveillance and counter-terrorism, while others such as Australia and Japan are upgrading airport and seaport security systems. The use of video analytics for behavioral analysis, anomaly detection, and automatic alerts allows law enforcement and military units to proactively prevent security incidents. This regional security climate is a major driver accelerating the adoption of AI-powered surveillance solutions.

Market Challenges

• Data Privacy Concerns and Uneven Regulatory Landscape: Despite strong government support for surveillance, data privacy remains a growing concern in the Asia-Pacific region. While countries like Japan and South Korea have enacted personal data protection laws, others lag behind or have inconsistent frameworks. This uneven regulatory environment complicates cross-border deployments and poses legal risks for multinational vendors. Moreover, public resistance to mass surveillance and facial recognition is gradually rising, especially in democratic countries where civil liberties are a focal point. Striking a balance between public safety and individual rights is a persistent challenge, often slowing adoption in sensitive areas like schools, workplaces, and healthcare institutions.
• Infrastructure Gaps in Developing Economies: Another key challenge is the disparity in digital and surveillance infrastructure across the region. While developed nations such as Singapore and South Korea have robust networks to support real-time video analytics, many developing countries including parts of Southeast Asia and South Asia face limitations in terms of bandwidth, power supply, and IT infrastructure. Poor camera quality, lack of cloud capabilities, and minimal access to edge computing devices further restrict the use of advanced analytics. For many municipalities and small businesses, the cost and complexity of implementation remain significant barriers. This digital divide affects the scalability and uniformity of video analytics adoption across the Asia-Pacific landscape.

Market Trends

• Proliferation of AI-Powered Edge Analytics: One of the fastest-growing trends in Asia-Pacific is the deployment of AI-driven edge video analytics. Instead of sending video data to a central server or cloud for processing, edge analytics processes the data on-site closer to the source reducing latency, saving bandwidth, and improving real-time responsiveness. This is especially useful in high-traffic locations like railway stations, airports, and manufacturing plants. Edge computing also improves privacy by limiting the amount of data sent to centralized systems. Countries like Japan and China are leading this trend, especially in smart transportation and industrial automation, making video analytics more efficient and scalable.
• Expanding Use Cases Across Non-Security Applications: While video analytics began as a security tool, Asia-Pacific industries are increasingly using it in non-security contexts. In retail, it’s used for footfall analysis, shopper behavior tracking, and heat mapping. In manufacturing, it supports workplace safety by detecting PPE compliance or unsafe behavior. In education, smart campuses in South Korea and China use analytics to monitor attendance and student engagement. Even in healthcare, hospitals are using video analytics for patient monitoring and contact tracing. This trend reflects a broader digital transformation in the region, with video analytics evolving into a multi-functional platform supporting operational efficiency, compliance, and customer experience.

The software segment is leading in the Asia Pacific video analytics industry due to the rapid adoption of AI-powered video intelligence solutions across diverse sectors, driven by the region’s strong digital transformation and smart city initiatives.

In the Asia Pacific video analytics industry, the software segment holds a leading position primarily because of the region’s accelerated digital transformation and increasing investments in AI and smart surveillance infrastructure. Countries like China, India, Japan, South Korea, and Southeast Asian nations are heavily investing in smart city projects and intelligent transportation systems, all of which demand advanced video analytics capabilities integrated through software platforms. Unlike hardware, software solutions offer flexibility, scalability, and seamless integration with existing video management systems (VMS), making them highly preferable for both public and private sector applications.

Software-based video analytics, powered by artificial intelligence (AI), machine learning (ML), and deep learning algorithms, enable real-time threat detection, behavioral analysis, facial recognition, and traffic management features critical for densely populated and urbanized regions in Asia Pacific. Additionally, the surge in demand for cloud-based analytics platforms has further pushed software adoption, allowing governments and enterprises to perform centralized monitoring and analysis while ensuring cost-efficiency. The expanding retail, transportation, education, and healthcare sectors in the region are increasingly relying on intelligent video surveillance for operational optimization, loss prevention, and crowd monitoring, which further fuels the software segment’s dominance. Moreover, governments across the region are mandating the deployment of surveillance solutions to enhance public safety, especially in light of growing urban security threats and crime rates. This is accompanied by a flourishing startup ecosystem and rising local innovation in AI-based surveillance software, especially in China and India, offering cost-competitive, high-performance solutions tailored to local needs.

Server-based architecture is leading in the Asia Pacific video analytics industry due to its ability to process high volumes of video data with centralized control, making it ideal for large-scale, government-backed surveillance and smart city projects across the region.

The dominance of server-based architecture in the Asia Pacific video analytics industry is primarily driven by its centralized processing capabilities, scalability, and robustness attributes that are crucial for handling the massive volumes of video data generated by rapidly expanding urban infrastructure and surveillance networks in the region. Asia Pacific is witnessing a surge in smart city developments, especially in countries like China, India, South Korea, Japan, and Singapore, where governments are investing heavily in public safety, intelligent traffic systems, and urban monitoring.

These applications require video analytics solutions that can handle complex tasks such as facial recognition, object tracking, intrusion detection, and behavioral analysis across thousands of video feeds in real time. Server-based architectures are well-suited for this demand, as they allow for powerful centralized computing, which enhances processing accuracy and enables seamless integration with command-and-control centers. Moreover, government and enterprise customers in Asia Pacific prefer centralized server infrastructure for security reasons, as it allows better control over data storage, privacy compliance, and cybersecurity protocols key concerns in densely populated regions with sensitive information. Unlike edge-based systems, which may be constrained by hardware limitations or inconsistent network conditions, server-based models ensure consistent performance, high-resolution processing, and uninterrupted analytics, which are vital in high-risk environments such as transportation hubs, airports, and critical infrastructure. The affordability of server hardware and increasing availability of high-performance computing solutions in countries like China has also supported the widespread deployment of server-based video analytics systems. Additionally, many existing surveillance networks across the region were built on traditional CCTV systems that integrate more seamlessly with server-based analytics platforms than with newer edge-based or cloud-native solutions.

On-premises deployment is moderately growing in the Asia Pacific video analytics industry due to the region’s continued reliance on legacy infrastructure and strong data privacy regulations that favor localized data storage and control.

The moderate growth of on-premises deployment in the Asia Pacific video analytics industry is largely attributed to the coexistence of traditional surveillance systems with emerging analytics technologies and the region’s cautious approach to data security and privacy. Many countries in Asia Pacific, including India, China, and several Southeast Asian nations, still maintain a significant base of legacy video surveillance infrastructure in public and private sectors. Upgrading these systems to support advanced analytics is more cost-effective when done through on-premises solutions, which offer compatibility with existing CCTV and server-based networks.

Moreover, data privacy regulations and national security concerns play a crucial role in favoring on-premises deployment, especially in sectors such as government, defense, banking, and critical infrastructure, where sensitive video data must remain within local servers to comply with regional laws. For example, China has strict cybersecurity laws mandating that certain categories of data be stored domestically, making cloud deployments less viable for many state-led surveillance projects. Similarly, organizations with heightened concerns over cybersecurity risks prefer on-premises setups because they provide complete control over video data, storage, and processing, thereby minimizing exposure to external threats or breaches. Despite the growing popularity of cloud and hybrid models, some businesses remain hesitant due to inconsistent internet connectivity in certain parts of the region and perceived risks of cloud dependence. On-premises solutions ensure reliable performance without relying on bandwidth, latency, or connectivity issues-an important factor in areas with underdeveloped digital infrastructure.

Facial recognition is leading in the Asia Pacific video analytics industry due to widespread government adoption for surveillance, law enforcement, and smart city initiatives aimed at enhancing public security and operational efficiency.

Facial recognition has emerged as the leading application type in the Asia Pacific video analytics industry primarily because of its extensive deployment by governments and public agencies for surveillance, security, and identity verification purposes. The region, particularly countries like China, India, Japan, and South Korea, is witnessing massive investments in smart city infrastructure, where facial recognition technology plays a central role in automating law enforcement, streamlining citizen services, and managing urban security.

In China, for instance, facial recognition systems are deeply integrated into city surveillance networks, public transportation systems, and even financial transactions, forming a cornerstone of the country’s social management strategy. These systems enable real-time identification of individuals from large crowds, helping authorities prevent crimes, track suspects, and manage access control in high-security zones such as airports, government buildings, and public events. Moreover, the Asia Pacific region’s large and dense population creates an urgent need for technologies that can efficiently manage and monitor crowds, identify threats, and enforce safety regulations capabilities that facial recognition delivers more accurately and quickly than traditional methods. Additionally, the growing emphasis on contactless technology, especially in the aftermath of the COVID-19 pandemic, has further accelerated the adoption of facial recognition across sectors like retail, banking, education, and healthcare, where it is used for secure authentication, attendance tracking, and access management. The technology’s integration with AI and deep learning algorithms has also significantly improved its accuracy and adaptability, making it more reliable for diverse applications in varying lighting and environmental conditions.

China is leading the Asia Pacific video analytics industry due to its massive government-led surveillance programs, strong domestic AI ecosystem, and large-scale investments in smart city and public security infrastructure.

China's leadership in the Asia Pacific video analytics industry is primarily driven by its government’s extensive use of surveillance technologies for public security, urban governance, and social management, combined with a powerful AI innovation ecosystem and rapid deployment of smart infrastructure. The Chinese government has heavily invested in nationwide video surveillance systems under initiatives such as the "Sharp Eyes Project" and "Skynet," which aim to create a fully networked monitoring system capable of real-time data collection and behavioral tracking in both urban and rural areas.

These massive programs generate vast amounts of visual data, which are analyzed using advanced video analytics tools including facial recognition, anomaly detection, motion tracking, and predictive behavior analysis. This widespread use of AI-powered video analytics is deeply integrated into law enforcement, traffic control, counter-terrorism, and social stability efforts. China's robust tech ecosystem, anchored by giants like Hikvision, Dahua, Huawei, and SenseTime, supports this expansion with continual innovation in computer vision and edge AI capabilities. These firms not only dominate the domestic market but also export sophisticated video analytics technologies worldwide. Furthermore, China’s smart city initiatives, present in hundreds of cities, rely heavily on video analytics to manage urban mobility, emergency response, environmental monitoring, and infrastructure efficiency. These projects benefit from seamless integration between surveillance hardware, cloud infrastructure, and AI software offering real-time, scalable insights that are increasingly automated and autonomous.