South Korea Video Analytics Market Overview, 2030

Due to the early implementation of smart city frameworks in South Korea, particularly in Seoul and Busan, video analytics has advanced quickly. These urban innovation centers established the framework for the implementation of smart traffic management and surveillance systems, allowing for real-time analysis of urban settings. Originally employed for traffic monitoring and law enforcement, video analytics has subsequently expanded into more complex fields such as robotic surveillance, automated parking, and border security, demonstrating South Korea's wider goal of being at the forefront of AI-powered infrastructure. The technology has evolved in close connection with South Korea's strong 5G network, which makes it possible to easily send the large amount of video data needed for AI processing. Particularly during major events or natural disasters, this high-speed infrastructure facilitates latency-sensitive applications like crowd flow forecasting, emergency response coordination, and smart traffic signal adjustments. In important areas like industrial parks, ports, and public transportation hubs, the integration of video analytics with IoT and sensor networks improves situational awareness. To improve video analytics platforms with sophisticated features like real-time face analysis, behavioral pattern recognition, and object anomaly identification, top South Korean tech firms like Samsung Electronics and LG CNS have made significant investments in R&D. Government-supported labs and research universities like KAIST Korea Advanced Institute of Science and Technology have been instrumental in creating AI algorithms tailored to the regulatory environment and unique urban dynamics of Korea. South Korea is utilizing video analytics for national competitiveness and public efficiency in areas such as smart crowd management at subway stations, autonomous parking options in urban hubs, and AI-driven industrial safety monitoring. South Korea remains at the forefront of video analytics due to the convergence of government policy, business innovation, and academic research, with real-time intelligence, urban automation, and security modernization pushing the market forward.

According to the research report, ""South Korea Video Analytics Market Overview, 2030,"" published by Bonafide Research, the South Korea Video Analytics market was valued at more than USD 166.42 Million in 2024. Early investment in the nation's 5G-enabled smart campuses, such as those in Seoul's university districts and innovation zones, and AI-integrated highway systems along important routes like the Seoul-Busan highway have fostered a rich environment for the development of cutting-edge video analytics technology. Major local companies like Samsung SDS and Hanwha Techwin are leading the way with state-of-the-art video surveillance platforms that make use of edge computing and deep learning. Samsung SDS integrates video AI with enterprise systems for corporate security and smart factory operations, whereas Hanwha's solutions are commonly used in public transportation and city surveillance. They are increasingly concentrating on integrating automation, data visualization, and proactive threat detection into their platforms in order to satisfy industry needs. The most promising potential lies in smart manufacturing, where AI video systems may monitor compliance, identify equipment problems, and assure worker safety in real-time, as well as 5G-embedded analytics, which enables ultra-low latency video processing. Video analytics is expected to become a key component of South Korea's smart infrastructure as the country accelerates its digital transition under the Digital New Deal and Industry 4.0 regulations. Compliance with the standards of the Korea Internet & Security Agency KISA and the Telecommunications Technology Association TTA is essential for ensuring ethical and legal implementation. These standards assist in controlling the training of AI models, the use of data, and cybersecurity, ensuring that facial recognition and behavior analysis capabilities are both ethically and technically sound. These standards not only improve system interoperability and user trust, but they also bring South Korea's video analytics industry in line with international AI ethics and privacy standards, strengthening the nation's position as a frontrunner in the field of secure and creative video intelligence.

The South Korea's video analytics market by type is divided into software and services. The increasing need for real-time face recognition, behavior analysis, and event detection technologies, as well as AI-powered video management systems VMS, is driving the larger proportion of software solutions. Businesses like Samsung SDS and Hanwha Vision are leaders in offering sophisticated software platforms that integrate smoothly with enterprise IT infrastructures and surveillance hardware. These systems use edge computing and deep learning to quickly analyze enormous amounts of video data, supporting features such as heat mapping, license plate recognition, anomaly detection, and predictive analytics in a variety of urban and industrial settings. Particularly in the fields of system integration, remote monitoring, video analytics as a service VAaaS, and managed security services, the services sector is also seeing significant expansion. As the government promotes smart cities, smart campuses, and automated factories, service providers are essential in the creation, implementation, and maintenance of sophisticated video analytics infrastructure. Especially sought after are consulting, customization, and training services, as public and commercial organizations try to maximize video intelligence for certain use cases like crowd management, transit safety, and industrial automation. The software industry is able to create indigenous solutions that comply with local regulatory requirements thanks to domestic R&D and open AI frameworks created in partnership with organizations like KAIST and ETRI. The services sector, on the other hand, is essential for ensuring compliance following deployment, especially with respect to the mandates of KISA and TTA pertaining to the security, privacy, and operational transparency of AI. Both the software, which is the foundation of South Korea's video analytics industry, and the services sector, which guarantees long-term scalability and compliance, are essential to the nation's concept of AI-enhanced surveillance and smart infrastructure.

The video analytics sector in South Korea by deployment is divided into Cloud and On-Premises, which meet the diverse demands of the government, industrial, and business sectors. The cloud segment is gaining ground, especially in retail companies, educational institutions, and smart city initiatives. Cloud-based video analytics, which is made possible by the nation's top data centers and 5G infrastructure, allows for real-time processing, centralized administration, and flexible integration with AI systems. Cities like Seoul and Busan utilize cloud-native platforms to provide real-time crowd monitoring, traffic optimization, and public safety warnings, all while reducing reliance on on-site equipment. Cloud deployment has many benefits, including lower upfront infrastructure expenses, remote access, and the ability to continually update AI models. With capabilities including facial recognition, unusual behavior detection, and real-time notifications, video analytics-as-a-service VAaaS is offered by organizations like KT Cloud and Samsung SDS, making it ideal for industries like retail, education, and logistics. The flexibility of cloud deployment also facilitates pilot projects and rapid scaling, particularly in the domains of public transportation and smart factories. However, in crucial and sensitive applications, particularly in defense, transportation, and government buildings, on-premise deployment is still the norm. On-site video analytics systems with integrated AI chips are available from firms like LG CNS and Hanwha Techwin, providing offline reliability, strong data security, and low latency processing because data sovereignty and system independence are critical, airports, power plants, and national security organizations like these systems. Deployment decisions are influenced by adherence to the TTA AI reliability standards and KISA cybersecurity protocols. Cloud models are made to comply with stringent data localization and regulatory audit criteria, while on-premises solutions often satisfy those criteria with ethical AI frameworks, encryption, and privacy controls. Cloud deployment is growing quickly due to its flexibility and scalability, but on-premises is still necessary for applications requiring high security. They create a well-rounded and adaptable deployment environment in South Korea's changing video analytics industry.

South Korea video analytics market by application is divided into Crowd Management, Facial Recognition, Intrusion Detection, License Plate Recognition, Motion Detection and Others range widely, from industrial safety to urban crowd management, all thanks to smart city programs, 5G connectivity, and advances in AI. One of the most common applications is in crowd management, particularly in cities like Seoul and Busan. To monitor density, identify bottlenecks, and provide real-time warnings during festivals, demonstrations, or emergencies, city administrations install AI-enabled cameras in public squares, transit hubs, and event sites. These systems, which are integrated with edge computing and 5G, improve responsiveness and lessen operational load. Facial recognition is another cornerstone that is widely used in intelligent access systems, banking security, and public safety. Korean businesses like SenseTime Korea and Hanwha Vision are creating high-accuracy facial recognition devices that adhere to national privacy and ethical AI standards. Particularly in airports, government facilities, and company campuses, where identification must be quick and precise, this program is essential. In industrial facilities, ports, and military areas, AI video analytics-based intrusion detection systems are becoming more prevalent. By intelligently filtering out false alarms, these systems identify suspicious conduct, perimeter breaches, and unauthorized access without the requirement for ongoing human supervision. The use of license plate recognition LPR is widespread in parking management, toll collection, and traffic law enforcement. In order to facilitate frictionless travel, automated violations monitoring, and intelligent parking solutions, Korean smart mobility platforms combine LPR with real-time databases. Even in residential and commercial security, motion detection is still essential, especially for recognizing trespassing, aberrant movement, or after-hour activity in restricted locations. Thermal detection in factories, fall detection for elder care, and object counting in retail analytics are all part of the others category. South Korea's AI R&D environment, headed by companies like Fujitsu Korea, LG CNS, and universities like KAIST, supports these specialized uses. Application environment is extensive and changing quickly, with each area catering to the nation's drive towards automation, security, and efficiency.

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