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Japan Video Analytics Market Overview, 2030

Published Jul 31, 2025
Length 76 Pages
SKU # BORM20266414

Description

The aging population and recurrent natural disasters in Japan have contributed to the distinctive emphasis of the nation's video analytics market on catastrophe management and senior care. Video analytics, which was first created to aid emergency response systems, was incorporated into public infrastructure to offer real-time situational awareness during earthquakes, floods, and other catastrophes. The program has evolved over time into social areas such as elderly monitoring in nursing homes, where AI-powered systems identify falls, unusual motions, or health hazards and send immediate notifications to caregivers or emergency personnel. With a strong emphasis on accessibility for the elderly and disabled, video analytics is used in urban transit systems, notably those in Tokyo, Osaka, and Nagoya, to manage passenger flow, identify accidents, and ensure passenger safety. These systems are used by metro authorities and rail operators to automate safety procedures, manage congestion, and avoid platform overcrowding. The integration of robots with video analytics is a notable aspect of Japan's innovation. Businesses such as SoftBank through its Pepper robot, NEC, and Fujitsu have pioneered solutions that integrate surveillance systems with humanoid or mobile robots. These robots are very helpful in nursing facilities and evacuation facilities for monitoring, communication, and aid delivery. Based on video-based hazard detection, Japan's systems also facilitate disaster alerting, automatically initiating lockdowns, voice alerts, and emergency responses. These systems are able to use visual indicators combined with geospatial data to forecast risks like landslides or infrastructure failure because the nation prioritizes predictive modeling using AI. Japan's video analytics industry, which places a strong emphasis on public safety, the welfare of its aging population, and resilience planning, is supported by a strong commitment to R&D funding and exemplifies a human-centric approach. It demonstrates how surveillance systems can advance beyond security into tools of protection, care, and societal well-being by combining cutting-edge AI with compassion-driven technology design.

According to the research report, ""Japan Video Analytics Market Overview, 2030,"" published by Bonafide Research, the Japan Video Analytics market is expected to reach a market size of more than USD 809.10 Million by 2030. The widespread use of AI-powered monitoring systems for crowd management, perimeter security, and contactless access control during the Tokyo 2020 Olympics was a major factor in this expansion, establishing a new standard for intelligent event monitoring. These systems have been repurposed in nursing homes, transit hubs, and urban infrastructure since the Olympics, improving both safety and quality of life. The video analytics industry is led by major Japanese technology firms such as Hitachi, Panasonic, and NEC. Panasonic's picture analysis systems are used in smart retail and public transportation, whereas NEC has created AI-based face recognition platforms that are used in airports and other public places. Hitachi is working on incorporating video analytics into industrial automation and smart mobility, providing forecast insights for rail safety and logistical flow. Video analytics in areas such as health-risk prediction, fall detection, and elder monitoring is made possible by Japan's aging population, where more than 28% of the population is over 65. These AI systems are becoming more and more integrated into hospitals, nursing homes, and even private homes, allowing for non-intrusive, 24/7 health and safety monitoring. Video analytics is making it possible for smart transportation to offer autonomous vehicle support, real-time traffic flow monitoring, and safer pedestrian navigation. In cities like Tokyo and Fukuoka, it continues to play a larger part in guaranteeing smooth, safe urban transportation. Japan follows the evolving norms surrounding AI interpretability, fairness, and privacy as well as the guidelines of METI Ministry of Economy, Trade, and Industry in terms of compliance. As AI is becoming more and more integrated into governance and personal care, adherence to ethical frameworks ensures trust and legal alignment. In Japan's growing video analytics sector, these standards promote widespread acceptance while preserving public trust and global interoperability.

Japan's video analytics industry by type is divided into Software and Services. Japan's focus on highly specialized, AI-driven video analytics platforms that are tailored for a variety of applications, including facial recognition, behavioral analysis, object detection, and traffic flow optimization, the market is dominated by the software sector. Businesses like NEC, Hitachi, and Fujitsu provide software solutions that are based on sophisticated deep learning models and are frequently used in critical settings like airports, public transportation, assisted living facilities, and areas that are prone to catastrophes. These platforms provide automated notifications, real-time data analysis, and simple connection to IoT devices and robotics. Japanese software is well-known for its interoperability with older CCTV systems, allowing public and private organizations to improve surveillance capabilities without expensive hardware upgrades. Furthermore, because Japan has stringent regulations regarding data privacy and AI fairness, a large portion of the program is created with built-in compliance tools to ensure compliance with METI guidelines and AI governance protocols. On the other hand, the services industry is seeing consistent expansion, particularly in the areas of system integration, maintenance, training, cloud migration, and analytics-as-a-service. Service providers are essential for tailoring and implementing AI software across a wide range of infrastructure environments, including Tokyo's subway system and nursing homes in rural areas. Real-time system monitoring, remote diagnostics, and upgrades are also supported by managed services, which guarantees the AI models' ongoing learning and adaptation. As firms look for assistance with data protection planning, edge deployment strategy, and AI model training, there is a strong need for consulting services. In Japan, where emphasis is placed on quality, accuracy, and user trust, the interaction between specialized software and professional services is crucial. These two pieces make up the foundation of Japan's video analytics industry, facilitating secure, ethical, and intelligent monitoring across industries.

The Japan's developing video analytics market by deployment is divided into cloud-based and on-premises solutions, each of which meets particular regulatory, operational, and security needs. Due to the growing availability of high-speed connection, 5G infrastructure, and smart city projects, cloud deployment is becoming more popular. It enables businesses to minimize IT costs, remotely access real-time analytics, and grow their video data storage capacity. AI-powered cloud platforms designed for retail analytics, traffic monitoring, and eldercare systems are provided by top firms such as Fujitsu and SoftBank, allowing for quick insights and centralized control because of their resilience to disasters, scalability, and reduced upfront expenses, cloud-based systems are especially popular among healthcare professionals and local governments. Remote access to video feeds and AI insights is essential for public safety activities in broad-area deployments, such as smart city initiatives in Tokyo, Yokohama, and Osaka. The Japanese government's push for carbon neutrality and digital transformation also promotes the use of cloud services in order to lessen reliance on hardware and reduce energy consumption. However, in essential industries like government, defense, and transportation, where security, ultra-low latency, and data sovereignty are of utmost importance, on-premises deployment continues to hold sway. Metro monitoring, airport security, and the security of sensitive research facilities are areas where Japanese corporations such as NEC and Panasonic excel in providing on-site solutions. Addressing concerns regarding data localization legislation, GDPR compliance, and METI security norms, these deployments guarantee that video data never leaves the premises. In remote or disaster-prone locations, many eldercare facilities and industrial facilities choose on-premises systems in order to guarantee that operations continue uninterrupted during network outages, which is a crucial factor. While on-premises solutions continue to support mission-critical contexts, cloud deployment is growing quickly in the smart city and commercial sectors. In Japan, both deployment models coexist, demonstrating a balanced perspective that prioritizes regulatory compliance, resilience, and efficiency in the video analytics environment.

Japan's video analytics market by application, is divided into Crowd Management, Facial Recognition, Intrusion Detection, License Plate Recognition, Motion Detection and Others which reflects the country's sophisticated infrastructure and social needs. One of the major segments is crowd management, which is especially important in heavily populated cities like Tokyo and Osaka. At train stations, stadiums, and public gatherings, AI-powered crowd analytics are used to monitor pedestrian traffic, identify congestion patterns, and maintain public safety. Real-time crowd heatmaps allowed police to reroute pedestrian traffic and reduce risks during the Tokyo Olympics, demonstrating Japan's leadership in smart mobility. Facial recognition is yet another essential use, which is common in airports, business parks, and government buildings. Some of the most accurate facial analytics systems in the world have been created by businesses like NEC and Panasonic. Facial data is used in retail personalization and senior care, where it helps monitor patterns and emotional states, as well as for security and access control. Particularly in crucial infrastructure, manufacturing facilities, and residential complexes, intrusion detection is an essential component of both the public and private sectors. By differentiating between intrusions by humans, cars, and animals, sophisticated video analytics systems may lower the number of false alarms and facilitate automated response protocols. In traffic control, tolling schemes, and smart parking, license plate recognition LPR systems are frequently utilized. LPR aids in the efficient enforcement of regulations and optimization of urban mobility in Japan, which has a high density of cars and a restricted amount of city area. In elder care homes, fall detection uses motion detection, which is frequently combined with edge AI cameras. In metro lines, it is used to provide track intrusion warnings, and in rural disaster areas, it is used to send out early warnings. In high-stakes situations, this component enables real-time responsiveness. The others category includes mask compliance monitoring, left-behind object detection, and behavioral analysis, all of which are especially important in pandemic-era industrial safety and health monitoring. Taken together, these applications highlight Japan's emphasis on accuracy, security, and social well-being via video analytics.

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

Table of Contents

76 Pages
1. Executive Summary
2. Market Structure
2.1. Market Considerate
2.2. Assumptions
2.3. Limitations
2.4. Abbreviations
2.5. Sources
2.6. Definitions
3. Research Methodology
3.1. Secondary Research
3.2. Primary Data Collection
3.3. Market Formation & Validation
3.4. Report Writing, Quality Check & Delivery
4. Japan Geography
4.1. Population Distribution Table
4.2. Japan Macro Economic Indicators
5. Market Dynamics
5.1. Key Insights
5.2. Recent Developments
5.3. Market Drivers & Opportunities
5.4. Market Restraints & Challenges
5.5. Market Trends
5.6. Supply chain Analysis
5.7. Policy & Regulatory Framework
5.8. Industry Experts Views
6. Japan Video Analytics Market Overview
6.1. Market Size By Value
6.2. Market Size and Forecast, By Type
6.3. Market Size and Forecast, By Deployment
6.4. Market Size and Forecast, By Application
6.5. Market Size and Forecast, By Region
7. Japan Video Analytics Market Segmentations
7.1. Japan Video Analytics Market, By Type
7.1.1. Japan Video Analytics Market Size, By Software, 2019-2030
7.1.2. Japan Video Analytics Market Size, By Services, 2019-2030
7.2. Japan Video Analytics Market, By Deployment
7.2.1. Japan Video Analytics Market Size, By Cloud, 2019-2030
7.2.2. Japan Video Analytics Market Size, By On-Premises, 2019-2030
7.3. Japan Video Analytics Market, By Application
7.3.1. Japan Video Analytics Market Size, By Crowd Management, 2019-2030
7.3.2. Japan Video Analytics Market Size, By Facial Recognition, 2019-2030
7.3.3. Japan Video Analytics Market Size, By Intrusion Detection, 2019-2030
7.3.4. Japan Video Analytics Market Size, By License Plate, 2019-2030
7.3.5. Japan Video Analytics Market Size, By Recognition, 2019-2030
7.3.6. Japan Video Analytics Market Size, By Motion Detection, 2019-2030
7.3.7. Japan Video Analytics Market Size, By Others, 2019-2030
7.4. Japan Video Analytics Market, By Region
7.4.1. Japan Video Analytics Market Size, By North, 2019-2030
7.4.2. Japan Video Analytics Market Size, By East, 2019-2030
7.4.3. Japan Video Analytics Market Size, By West, 2019-2030
7.4.4. Japan Video Analytics Market Size, By South, 2019-2030
8. Japan Video Analytics Market Opportunity Assessment
8.1. By Type, 2025 to 2030
8.2. By Deployment, 2025 to 2030
8.3. By Application, 2025 to 2030
8.4. By Region, 2025 to 2030
9. Competitive Landscape
9.1. Porter's Five Forces
9.2. Company Profile
9.2.1. Canon Inc.
9.2.1.1. Company Snapshot
9.2.1.2. Company Overview
9.2.1.3. Financial Highlights
9.2.1.4. Geographic Insights
9.2.1.5. Business Segment & Performance
9.2.1.6. Product Portfolio
9.2.1.7. Key Executives
9.2.1.8. Strategic Moves & Developments
9.2.2. Eagle Eye Networks
9.2.3. Genetec Inc.
9.2.4. NEC Corporation
9.2.5. Secom Co., Ltd.
10. Strategic Recommendations
11. Disclaimer
List of Figures
Figure 1: Japan Video Analytics Market Size By Value (2019, 2024 & 2030F) (in USD Million)
Figure 2: Market Attractiveness Index, By Type
Figure 3: Market Attractiveness Index, By Deployment
Figure 4: Market Attractiveness Index, By Application
Figure 5: Market Attractiveness Index, By Region
Figure 6: Porter's Five Forces of Japan Video Analytics Market
List of Tables
Table 1: Influencing Factors for Video Analytics Market, 2024
Table 2: Japan Video Analytics Market Size and Forecast, By Type (2019 to 2030F) (In USD Million)
Table 3: Japan Video Analytics Market Size and Forecast, By Deployment (2019 to 2030F) (In USD Million)
Table 4: Japan Video Analytics Market Size and Forecast, By Application (2019 to 2030F) (In USD Million)
Table 5: Japan Video Analytics Market Size and Forecast, By Region (2019 to 2030F) (In USD Million)
Table 6: Japan Video Analytics Market Size of Software (2019 to 2030) in USD Million
Table 7: Japan Video Analytics Market Size of Services (2019 to 2030) in USD Million
Table 8: Japan Video Analytics Market Size of Cloud (2019 to 2030) in USD Million
Table 9: Japan Video Analytics Market Size of On-Premises (2019 to 2030) in USD Million
Table 10: Japan Video Analytics Market Size of Crowd Management (2019 to 2030) in USD Million
Table 11: Japan Video Analytics Market Size of Facial Recognition (2019 to 2030) in USD Million
Table 12: Japan Video Analytics Market Size of Intrusion Detection (2019 to 2030) in USD Million
Table 13: Japan Video Analytics Market Size of License Plate (2019 to 2030) in USD Million
Table 14: Japan Video Analytics Market Size of Recognition (2019 to 2030) in USD Million
Table 15: Japan Video Analytics Market Size of Motion Detection (2019 to 2030) in USD Million
Table 16: Japan Video Analytics Market Size of Others (2019 to 2030) in USD Million
Table 17: Japan Video Analytics Market Size of North (2019 to 2030) in USD Million
Table 18: Japan Video Analytics Market Size of East (2019 to 2030) in USD Million
Table 19: Japan Video Analytics Market Size of West (2019 to 2030) in USD Million
Table 20: Japan Video Analytics Market Size of South (2019 to 2030) in USD Million
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