20250331Cloud-Edge-IoT in Japan

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1. IT Promotion Agency Japan Innovation in Japan Cloud-Edge Land scape Digital Infrastructure and Cloud-Edge-IoT challenge 2025-03-31 Kenji Hiramoto Digital infrastructure Center IT Promotion Agency, Japan
2. Japan  IPA is a government-funded organization that promotes digital technology. 2 IT Promotion Agency Ministry of Economy, Trade and Industry (METI) Digital Agency IPA 2025-04-01 Strategy Policy Think tank for technology policy Implementation organization Digital Architecture Digital Infrastructure Artificial Intelligence Data spaces/engineering Software Digital transformation Innovation Human resource Security
3. Japan After working for an IT company, I have been working for the government for about 20 years. 3 Kenji Hiramoto Ministry of Economy, Trade and Industry (METI) Digital Agency IPA 2025-04-01 Strategy Policy Think tank for technology policy Implementation organization NTT DATA (IT company) Cabinet Secretariat Gov. CIO Office Chief Architect Head of Data strategy, Executive officer (Worked as Chief Data Officer) Executive Advisor for CIO Director General of Digital Infrastructure Center Secretary General of AI Safety Institute
4. Japan Status of Edge computing and Digital Infrastructure 4
5. Japan  Both the Japanese and global markets are growing rapidly. • Service • Provisioned services • Hardware • Software 5 Edge computing market 179 201 232 267 308 350 0 50 100 150 200 250 300 350 400 2022 2023 2024 2025 2026 2027 0 2000 4000 2022 2023 2024 2025 2026 2027 Billion USD Based on a report by IDC published in the 2024 Information and Communications White Paper by the Ministry of Internal Affairs and Communications, converted at 150 yen to the dollar. Billion Yen 2255.9 1577.9 Japan Global
6. Japan  Sensors are doing well, but the service is not sufficient. 6 Sensor shipment Global Sensor Shipment Value JEITA Sensor Global Status Survey, Sensor Global Shipment Results 2247.9 2468.4 0 500 1000 1500 2000 2500 3000 2022 2023 Billion Yen Sensor, 75% Sensor module/unit, 23% Sensing system, Sensing device, 2% 2023 Proportion of composition by shape (amount)
7. Japan 7 Status of Edge computing 0% 20% 40% 60% 80% 100% Erectrocity(23) Gas(11) Water supply(176) Finance(204) Information technology(117) Connumnication, Broadcast(41) Manufacturing(29) Transportation(54) Logistics(72) Implemented Prototyping Evaluating Not implemaned I don't know Software Trend Survey 2024, IPA Analyzing organizations with n>10  It is being implemented in the manufacturing and energy industries.
8. Japan  There is a lot of use related to security.  Many services are connected by cable at facilities, etc. 8 Edge Devices and Networks 38.8 32.6 26.7 24.3 21.6 14.2 9.3 8.8 2.9 36.9 33.3 26.3 28.4 24.3 14.1 17 10.7 3.6 0 10 20 30 40 Surveillance camera Physical security device Sensor(Temperature,… Contactless IC card OCR Smart meter for energy Industrial robot RFID tag Cellar module for… % Devices that compose IoT and AI systems and services (multiple answers) 2023 2022 71.8 58.4 18.3 9.5 4.5 1 0.9 0.5 4.7 65.3 61.3 15.5 6.4 5.3 0.7 0.6 0.6 3.1 0 10 20 30 40 50 60 70 80 Cable wifi 4G 5G LPWA Local5G Private BWA Regional BWA other wireless % Network lines for IoT, AI, and other devices (multiple answers) 2023 2024 Communications Usage Trend Survey 2024, Ministry of Internal Affairs and Communications 86.2 78.9 17.6 85.6 77.3 19 0 20 40 60 80 100 Mobile device Smartphone Mobile phone % Personal device 2023 2022
9. Japan 9 Network Premium 4G 4G 4G（800MHz)  4G has a population coverage rate of approximately 100% and an area coverage rate of 60%.  Areas outside the coverage area are covered by satellite communication, BWA, and LPWA.
10. Japan Private Sectors  Anyone can use the internet, cloud services and networks.  Digital infrastructure is an area where the public and private sectors are working together to achieve our goals. 10 Digital Infrastructure the Internet and cloud services Data spaces Data trading markets Cloud-Edge-IoT services Networks Business Edge devices
11. Japan Our Challenges 11
12. Japan Labor Shortage Due to Aging Population •Automation and remote operations help maintain efficiency with fewer workers, supporting sustainable productivity. Improving Productivity •Real-time data analysis streamlines operations, eliminates waste, and enables optimized workflows across industries. Ensuring Public Safety (Crime, Traffic Accidents) •Real-time data from cameras and sensors helps detect risks early and supports proactive crime and accident prevention. Disaster Preparedness •Edge processing enables rapid local response, while cloud systems support coordination and quick recovery after disasters. Environmental Measures •Monitoring and controlling energy use and emissions in real time promotes eco-friendly, sustainable operations. Enhancing Service Quality •Data-driven insights enable personalized services, improving customer experience and meeting individual user needs. 12 Importance of Cloud-Edge Tech.
13. Japan  The Cloud-Edge-IoT initiative is being carried out within the technology strategy and domain-specific strategies. 13 Digital challenges in Japan Innovation Strategy Digital Strategy Healthcare Strategy Agriculture Strategy Mobility Strategy Infrastructure Strategy Network Edge devices Domain strategy Technology strategy Private sectors Use cases Field test Cloud-Edge services Data
14. Japan  The Ministry of Agriculture, Forestry and Fisheries is strongly pushing forward with digital transformation using data. 14 Agriculture Strategy Agriculture DX initiative2.0 (2025-02-22) Sensor data related to agricultural production Data on agricultural management Logistics data Data from Administrations Statistics Meteorological data Agricultural Land Data Soil Data Production Environment data Growth data Market data financial data Logistics data Traceability data Leading case studies (Kochi-prefecture) https://www.maff.go.jp/j/kanbo/dx/attach/pdf/nougyo u_dxkousou-167.pdf
15. Japan  In the Ministry of Agriculture, Forestry and Fisheries' “Agriculture DX Concept 2.0”, sensor data utilization is emphasized as a means of promoting digital transformation (DX) in the agriculture and food-related industries. 1. Utilization at the production site • By using sensor data, it is possible to grasp the growth conditions of crops, the condition of the soil, weather conditions, etc. in real time, and to carry out precision agricultural management. This is expected to lead to increased yields, improved quality, and more efficient use of resources. 2. Improving the efficiency of agricultural management • Data-driven agricultural management that utilizes sensor data will improve the accuracy of management decisions and strengthen risk management. This will make it possible to improve profitability and achieve sustainable management. 3. Rural development and environmental improvement • In rural areas, the use of sensor data will help to improve the efficiency of measures to prevent damage from wild animals and the development of agricultural infrastructure. This is expected to lead to the effective use of local resources and the resolution of local issues. 4. Promoting data collaboration and utilization By utilizing the Agricultural Data Collaboration Infrastructure (WAGRI) to promote the sharing and collaboration of a wide range of data, including sensor data, it is hoped that new services and business models will be created.  Through these initiatives, it is thought that the utilization of sensor data will accelerate the digital transformation of the agriculture and food-related industries, and contribute to sustainable food production and the development of local communities. 15 Summary of Agriculture DX initiative2.0
16. Japan  In the Ministry of Land, Infrastructure, Transport and Tourism's “Introduction to Initiatives for DX in the Infrastructure Field”, the use of sensor data is emphasized as a way to promote digital transformation (DX) in the infrastructure field. • 1. Visualization of skills using motion sensors • At construction sites, motion sensors are used to digitize the movements of skilled workers, making their skills “visible”. This contributes to the construction of efficient human resource development methods and the advancement of the ability evaluation standards for the future Construction Career Up System (CCUS). • 2. Advancing unmanned construction technology using 5G and other technologies • The advancement of unmanned construction technology is being promoted by combining advanced technologies such as 5G with sensor data. This is expected to improve safety at construction sites and reduce the need for manpower. • 3. Building 3D city models and linking data • Based on 3D city models, work is underway to develop a digital infrastructure that can link and utilize a wide range of data related to urban planning. This will make it possible to carry out flexible and resilient urban planning that responds to real-time changes in urban conditions.  Through these initiatives, it is hoped that the use of sensor data will contribute to improving productivity, ensuring safety, and creating new value in the infrastructure field. 16 Infrastructure Strategy DX action plan for Infrastructure DX initiatives
17. Japan  In the “Mobility DX Strategy”, the use of sensor data is seen as important in the digital transformation (DX) of the automotive industry. 1. Improving sensor fusion technology: • The sophistication of various sensors and sensor fusion technology are being used to improve recognition performance and save energy. In particular, efforts are being made to improve recognition methods that utilize sensor RAW data, with the aim of further sophistication. 2. Construction of a data linkage infrastructure • There is a drive to construct a data linkage infrastructure that will enable the comprehensive understanding, sharing and utilization of the vast amounts of data generated throughout the vehicle lifecycle, from manufacturing to use and disposal. This is expected to lead to the strengthening of supply chains and the creation of new businesses 3. Utilization of driving data: • Trials are being conducted on a system that uses tire pressure sensors and other devices to collect and analyze data on road surface unevenness, and immediately assess the state of road deterioration. This is expected to improve the efficiency of maintenance work for road administrators and reduce repair costs.  Through these initiatives, the use of sensor data is contributing to the creation of new value and services in the mobility field. 17 Mobility DX Strategy https://www.meti.go.jp/policy/mono_info_service/mono/automobile/jido_soko/index.html
18. Japan  In the Ministry of Economy, Trade and Industry's report “Future Direction of Health Promotion Initiatives”, sensor data utilization is emphasized as being important for extending healthy life expectancy and optimizing medical expenses. • 1. Promoting health management using wearable devices • By collecting health data on a daily basis using wearable devices and visualizing individual health conditions, it is possible to promote improvements in lifestyle habits and disease prevention. • 2. Utilizing personal health records (PHR) • By promoting PHR, which centrally manages personal health and medical information, and linking it with sensor data, it will be possible to provide personalized health management and medical services. • 3. Creation of new healthcare services through data utilization • We will support the development of services that analyze collected sensor data and predict health risks and encourage behavioral change. • 4. Promotion of health management • By having companies utilize their employees' health data and engage in health promotion activities, we aim to improve productivity and reduce medical expenses.  Through these initiatives, the use of sensor data is expected to contribute not only to the maintenance and promotion of individual health, but also to the optimization of medical expenses for society as a whole and the creation of new industries. 18 Future Direction of Health Promotion Initiatives https://www.meti.go.jp/shingikai/mono_info_service/kenko_iryo/pdf/20230824_1.pdf
19. Japan  It is important to make use of Japan's strengths in the Edge field.  We are strengthening cross-domain projects and digital infrastructure initiatives. 19 Reinforcement of our challenge Innovation Strategy Digital Strategy Healthcare Strategy Agriculture Strategy Mobility Strategy Infrastructure Strategy Smart city Initiative Digital Infrastructure Initiative Network Edge devices Domain strategy Technology strategy Private sectors Use cases Field test Cloud-Edge services Advanced use cases in the private sector and domains Excellent devices and network
20. Japan  Industry, government and academia are working together as one team to develop data infrastructure. 20 Digital infrastructure initiative Private Sectors the Internet and cloud services Data spaces Data trading markets Cloud-Edge-IoT services Networks Business Edge devices Building Blocks Data quality management GIF Data models GIF(Gov. Interoperability Framework) Rules CEI architecture DPI(Data) project DPI: Digital Public Infrastructure
21. Japan  In smart cities, many edge devices are used and data is shared across different fields.  Cross-domain use cases are being tested.  The Smart City Reference Architecture, which includes cloud-edge, will be revised. 21 Smart city initiative • Mobility • Healthcare • Nursing • Green
22. Japan  IPA provides support for the development of edge- related technologies and human resource development. 22 Edge related Activities in IPA Edge device JC-STAR (IoT Security labeling) Embedded software Local IoT Lab / DX Lab (100+ labs) Manabi DX (IoT courseware) CPS security design OT Training for IT infrastructure Reservoir computing CEI framework