Japan AI Data Center Market Size to Reach USD 11.6 bn by 2035 | CAGR of 32.9%

AI data centers are specialised facilities equipped with high-performance GPUs, CPUs, networking systems, storage platforms and advanced cooling infrastructure for artificial intelligence workloads. These facilities support AI model training, inference, natural language processing, computer vision, robotics and large-scale data analytics. In Japan, demand is being strengthened by enterprise digitalisation, sovereign AI requirements, cloud adoption and the need to process sensitive industrial and consumer data within the country.

According to Globe Market Research, The Japan AI Data Center Market was valued at USD 0.9 billion in 2026 and is projected to reach approximately USD 11.64 billion by 2035, growing at a CAGR of 32.9% from 2026 to 2035. Expansion is being supported by investment in hyperscale infrastructure, high-density computing, liquid cooling and renewable power integration. Demand is particularly strong across the IT and telecommunications, manufacturing, financial services, healthcare, automotive and government sectors, where AI models require secure and low-latency computing capacity.

Infrastructure deployment accelerated further in January 2026 when KDDI commenced operations at the Osaka Sakai Data Center, offering GPU infrastructure and on-premises access to Google’s Gemini models for sectors including pharmaceuticals and manufacturing. Japan’s Ministry of Economy, Trade and Industry has identified rising AI use and communications traffic as major drivers of data-center demand and has introduced coordinated planning between electricity and communications infrastructure.

Key Market Insights

• The global AI Data Center Market size was valued at USD 19.6 billion in 2025 and is projected to grow from USD 43.9 billion in 2026 to USD 262.7 billion by 2035, registering a CAGR of 29.6% from 2025 to 2035. North America dominated the market with a revenue share of 41% in 2025.

• Hardware led the component segment with 74.3% share, supported by strong demand for AI servers, GPUs, accelerators, storage systems, networking equipment, and power infrastructure.

• Cloud-based deployment accounted for 60.4% share, driven by scalable AI computing needs, faster workload deployment, and rising enterprise use of hosted AI infrastructure.

• Hyperscale data centers held 48.2% share, supported by large AI training workloads, high-density computing demand, and growing investment in advanced data center capacity.

• AI model training captured 36.3% share by application, driven by rising demand for large-scale compute power, data processing, and advanced machine learning development.

• IT and telecom led the industry vertical segment with 33.8% share, supported by strong cloud adoption, 5G expansion, data traffic growth, and rising use of AI-enabled digital services in Japan.

Adoption Rate and Usage Statistics

According to Microsoft and OECD, AI adoption is strengthening across Japan’s consumer and enterprise sectors. Microsoft 365 Copilot is used by 94% of Nikkei 225 companies, while nearly one in five working-age people in Japan uses generative AI tools. A separate February 2025 survey measured generative AI adoption at 42.5% among Japanese respondents. The difference reflects distinct survey populations and measurement methods, but both findings indicate rising demand for domestic GPU, cloud, storage, and AI data-center infrastructure.

According to SoftBank and Japan’s National Institute of Advanced Industrial Science and Technology, Japan is developing large-scale computing infrastructure for generative AI training and inference. SoftBank’s Tomakomai facility is expected to expand beyond 300 MW and operate using 100% locally produced renewable electricity, while the Osaka Sakai facility is planned to begin with approximately 150 MW of power capacity. ABCI 3.0 provides 6,128 NVIDIA H200 GPUs and 6.22 EFLOPS of AI performance, strengthening domestic access to advanced computing resources for AI models, research, and commercial applications.

Component Insights

Hardware accounted for 74.3% of the Japan AI Data Center Market by component. Its leading position is supported by the high equipment requirements of AI workloads, including accelerated servers, processors, storage systems, high-speed networking, power distribution and advanced cooling. AI data centers require significantly denser computing configurations than conventional enterprise facilities.

According to Japan’s ABCI computing infrastructure, ABCI 3.0 includes 766 computing nodes equipped with 6,128 AI accelerators, supported by 75 PB of physical storage capacity. The infrastructure also uses a high-speed network to connect computing and storage resources, demonstrating the scale of hardware required for advanced AI research and model development.

Hardware demand is increasingly being influenced by higher rack density and electricity use. Data presented by the Japan Data Center Council in January 2025 showed that cloud data centers can operate at 12 kVA or more per rack, compared with approximately 6 kVA per rack for traditional enterprise facilities. This shift is increasing demand for liquid cooling, efficient power systems and high-capacity networking equipment.

Deployment Insights

Cloud-based deployment represented 60.4% of the market by deployment. Cloud infrastructure provides access to scalable computing capacity without requiring every organization to build and maintain its own AI facility. It also supports centralized model management, flexible resource allocation and faster deployment across multiple business locations.

According to Japan’s Digital Agency, the number of systems using Government Cloud increased by 335%, rising from 671 systems in August 2024 to 2,918 systems in February 2025. This rapid migration shows that cloud-based infrastructure is becoming an important operating model for large and security-sensitive information systems.

Cloud deployment is well suited to AI workloads because computing requirements can change significantly between model development, testing and inference. Providers must still address data residency, cybersecurity, service continuity and the cost of continuous computing. Secure cloud regions and clearly defined data governance controls will remain important for Japanese enterprises and public institutions.

Data Center Type Insights

Hyperscale data centers accounted for 48.2% of the market by data center type. These facilities are designed to operate large numbers of servers and support highly concentrated cloud, storage and AI computing workloads. Their scale allows processors, networking systems and power infrastructure to be managed more efficiently across shared environments.

Based on data from Japan Data Center Council, more than half of the servers operating in Japan are owned by hyperscale providers. The council also reported that hyperscale operators are leading AI infrastructure deployment, supported by large computing clusters and global equipment procurement capabilities.

Hyperscale development is closely connected with access to electricity and telecommunications networks. In June 2025, Japan’s Ministry of Economy, Trade and Industry and Ministry of Internal Affairs and Communications identified rising AI use and communications traffic as major drivers of data center demand. Their Watt-Bit Collaboration initiative is intended to coordinate data center, power and telecommunications infrastructure more effectively.

Application Insights

AI model training held 36.3% of the market by application. Training large AI models requires extensive computing power, high-speed data transfer and continuous access to large datasets. These workloads commonly use clusters of accelerators operating together for long periods, creating substantial demand for specialized data center capacity.

According to Japan’s Ministry of Economy, Trade and Industry, 16 projects were selected under the fourth cycle of the GENIAC computing resource support program in June 2026. The projects are being provided with computing resources required for AI model development, reflecting continued national efforts to strengthen domestic foundation-model capabilities.

AI training places greater pressure on storage, memory bandwidth, networking and cooling than many traditional business applications. METI has stated that generative AI training and inference are similar to high-performance computing tasks and require substantial infrastructure and expertise in large-scale distributed training. Facilities offering efficient cluster management and reliable high-density operations are therefore likely to receive stronger demand.

Industry Vertical Insights

IT and telecom accounted for 33.8% of the market by industry vertical. The segment’s leading position is supported by its direct involvement in cloud services, network operations, software platforms, data processing and digital service delivery. IT and telecom organizations also operate many of the systems that connect enterprise users with AI computing resources.

According to Japan’s Digital Agency, Government Solution Services had expanded to 13 ministries and agencies by February 2025, representing a 30% increase from 10 agencies a year earlier. Around 42,000 users were connected to the standardized government network environment, demonstrating rising demand for secure communications and centralized digital infrastructure.

IT and telecom providers are expected to play an important role in connecting AI data centers with enterprises, public institutions and edge locations. Demand will be shaped by high-capacity fibre networks, low-latency connectivity, cybersecurity and reliable cloud access. Cooperation between telecommunications operators, electricity providers and data center developers will be required as AI-related communication traffic continues to increase.

Government Incentives for AI Data Centers in Japan

Japan provides direct financial support for domestic AI computing infrastructure under the Economic Security Promotion Act. The Ministry of Economy, Trade and Industry approved subsidies of up to JPY 72.5 billion for five projects developing GPU and cloud computing capacity required for artificial intelligence applications. The supported operators included Sakura Internet, KDDI, GMO Internet Group, Highreso, and RUTILEA-related projects. Source: Ministry of Economy, Trade and Industry.

Regional data center incentives have also been introduced to reduce the concentration of facilities around Tokyo and Osaka. Eligible projects could receive subsidies covering up to 50% of qualified expenses, including land development, power infrastructure, telecommunications connections, buildings, and computing equipment. However, the published scheme relates to an earlier application round, so developers should confirm current availability and eligibility before including the subsidy in investment plans. Source: Japan External Trade Organization.

Energy-efficient AI data centers may also benefit from Japan’s Green Innovation Fund. NEDO supports the development of optical interconnection systems, low-power processors, accelerators, storage technologies, and disaggregated computing systems, with a target of improving data center energy efficiency by at least 40%. These programs indicate that projects combining domestic AI capacity, regional development, renewable electricity, and measurable energy savings are likely to receive stronger policy support. Source: New Energy and Industrial Technology Development Organization.

Case Study

Microsoft, Sakura Internet and SoftBank Expand Japan’s AI Data Center Infrastructure

In April 2026, Microsoft announced an investment of USD 10 billion, approximately JPY 1.6 trillion, in Japan between 2026 and 2029. The program covers domestic AI infrastructure, cybersecurity capabilities and workforce development. It represents Microsoft’s largest investment in Japan and expands the company’s earlier cloud and AI infrastructure program.

The project addresses growing demand for high-performance GPU infrastructure that can support Japanese-language models, robotics, precision manufacturing and other physical AI applications. These workloads require significant computing capacity, low-latency access and clear controls over where sensitive information is stored. Data sovereignty has therefore become an important purchasing factor for Japanese enterprises and public-sector organizations.

Microsoft is collaborating with Sakura Internet and SoftBank to make domestically operated GPU computing resources available through the Azure environment. Customers will be able to access local AI computing capacity while keeping their data within Japan. This structure combines Microsoft’s cloud services with infrastructure operated by domestic providers, supporting organizations that have strict confidentiality, governance and data-residency requirements.

The project demonstrates how Japan’s AI data center model is moving toward partnerships between global cloud platforms, domestic telecommunications companies and local infrastructure operators. Nearly one in five working-age people in Japan now uses generative AI, while Microsoft 365 Copilot has been adopted by 94% of Nikkei 225 companies. This rising enterprise adoption is expected to support demand for GPU capacity, liquid cooling, high-density racks, secure networks and managed AI infrastructure.

Market Dynamics

Drivers Impact Analysis

The Japan AI Data Center Market is driven by rising demand for AI model training, AI inference, cloud computing, generative AI applications, robotics, autonomous systems, and high-performance computing. Japan’s strong base in electronics, telecom, automotive, robotics, financial services, and manufacturing supports demand for advanced AI-ready data center capacity.

The market is also supported by growing enterprise AI adoption, government-backed digital transformation, edge computing needs, and demand for secure domestic data infrastructure. AI workloads require high power density, GPU clusters, liquid cooling, low-latency connectivity, and reliable cloud infrastructure.

Restraints Impact Analysis

The market faces restraints from high power consumption, land constraints, grid pressure, high construction cost, GPU supply challenges, and cooling complexity. AI data centers require significant capital investment and specialized infrastructure compared with traditional data centers. Another restraint is Japan’s limited availability of large-scale power and suitable land near major connectivity hubs. Developers must manage energy sourcing, permitting, construction timelines, sustainability requirements, and hardware procurement risks.

Opportunities Impact Analysis

Opportunities are strong in GPU data centers, hyperscale AI campuses, sovereign AI infrastructure, liquid-cooled facilities, edge AI data centers, cloud AI platforms, and enterprise colocation services. Japan’s advanced industrial base creates demand for AI compute across robotics, automotive, electronics, telecom, healthcare, and manufacturing.

Higher-value opportunities are emerging in AI inference hosting, private AI clouds, enterprise AI platforms, modular data centers, renewable-powered facilities, and low-latency AI infrastructure. Companies that combine power availability, cooling efficiency, cloud connectivity, and compliance strength can capture stronger market value.

Challenges Impact Analysis

The main challenge is scaling AI data center capacity while managing power, cooling, cost, and sustainability. AI workloads require dense compute clusters that can strain facility design, grid capacity, and operating efficiency. Another challenge is balancing domestic demand with global competition for AI chips, servers, skilled engineers, and advanced cooling systems. Japan must strengthen its AI infrastructure supply chain to support long-term growth.

Key Market Segments

By Component

• Hardware

• Software

• Services

By Deployment

• Cloud-Based

• On-Premises

• Hybrid

By Data Center Type

• Hyperscale Data Centers

• Enterprise Data Centers

• Colocation Data Centers

• Edge Data Centers

• Modular and Portable Data Centers

By Application

• AI Model Training

• AI Model Inference

• Big Data Analytics

• Computer Vision Processing

• Natural Language Processing

• Autonomous Systems and Robotics

• Cybersecurity and Fraud Detection

By Industry Vertical

• IT and Telecom

• BFSI

• Healthcare

• Retail and E-commerce

• Manufacturing

• Government and Defense

• Media and Entertainment

• Automotive

• Energy and Utilities

Market Trend Analysis

The market trend is moving toward GPU clusters, high-density racks, liquid cooling, AI inference hubs, private AI clouds, modular facilities, and data centers located near strong power and network infrastructure. Japan’s AI infrastructure is shifting from general-purpose cloud capacity toward AI-optimized compute environments.

Tokyo and Osaka remain major connectivity and enterprise demand centers, while regional locations can gain importance where power availability, land cost, and disaster-resilience planning are more favorable. Demand from robotics, automotive, telecom, and manufacturing will shape long-term market development.

Technology Adoption Analysis

Technology adoption is focused on GPUs, AI accelerators, high-bandwidth networking, liquid cooling, direct-to-chip cooling, power management systems, modular infrastructure, DCIM platforms, and AI workload orchestration. These technologies help data centers handle training, inference, storage, and high-performance computing workloads. Operators are also adopting renewable energy procurement, advanced battery backup, immersion cooling, automated monitoring, and security-by-design infrastructure. These upgrades support uptime, efficiency, and enterprise trust.

Recent Developments

Market News

• In January 2026, KDDI commenced operations at the Osaka Sakai Data Center. The facility uses 100% renewable electricity and became KDDI’s first commercial data center to introduce large-scale liquid cooling, supporting the higher power density and heat output associated with AI servers and advanced GPUs.

• In February 2026, SuperX expanded its presence in Japan through collaborations with Digital Dynamic, eole, and Woodman to assess modular AI data-center projects. The initial pilot in Mie Prefecture is intended to demonstrate faster deployment of scalable AI infrastructure, while Digital Dynamic plans to complete additional AI data centers in Kagoshima and Fukushima during 2026.

• In April 2026, Microsoft announced a USD 10 billion investment in Japan from 2026 through 2029. The programme includes expansion of in-country AI infrastructure, collaboration with domestic infrastructure partners, stronger cybersecurity cooperation with national institutions, and AI training for more than one million engineers, developers, and workers by 2030.

• In April 2026, JFE Holdings and Mitsubishi Corporation signed a second memorandum of understanding for an integrated power and data-center project in the Ohgishima area near Tokyo. The companies are planning an initial 60 MW data center for fiscal 2031, with the site capable of supporting several hundred megawatts of future IT capacity.

• In April 2026, NTT DATA opened the Keihanna OSK11 Data Center in Kyoto Prefecture. The AI-ready facility provides 30 MW of IT capacity, dual power substations, carrier-neutral connectivity, N+1 cooling infrastructure, and enhanced physical security for hyperscale and enterprise customers.

Acquisitions

• In March 2026, DigitalBridge and Japan Extensive Infrastructure completed the acquisition of selected NEC data-center assets in Kanagawa and Kobe. The facilities will operate as a standalone data-center platform, while NEC will remain an anchor customer and the sites will be opened to additional colocation clients. Financial terms were not disclosed.

• In March 2026, CapitaLand Ascendas REIT agreed to acquire a 49% interest in a 40.5 MW hyperscale data center in Greater Osaka for approximately SGD 620.7 million, or about USD 485.2 million. The facility was fully occupied by a major tenant and had a further 5.4 MW of potential expansion capacity.

• In April 2026, DigitalBridge shareholders approved the company’s acquisition by Japan-based SoftBank Group. The transaction values DigitalBridge at approximately USD 4 billion and is expected to close during the second half of 2026, subject to regulatory approvals and other closing conditions.

Funding

• In April 2026, Microsoft committed USD 10 billion to AI infrastructure, cybersecurity, and workforce development in Japan between 2026 and 2029. The investment was described as Microsoft’s largest commitment to Japan and includes AI infrastructure operating within the country.

• In June 2026, Blackstone outlined a planned USD 30 billion investment in Japanese AI data centers over three to five years. The proposed programme could support more than 1 GW of capacity and indicates stronger interest from infrastructure funds in Japan’s AI computing, real estate, power, and digital connectivity sectors.

• Japan’s Ministry of Economy, Trade and Industry has approved subsidies of up to JPY 72.5 billion for five domestic AI computing projects. The recipients include Sakura Internet, KDDI, GMO Internet Group, Highreso and Highreso Kagawa, and a joint project involving RUTILEA and AI Fukushima.

• Sakura Internet received approval for up to approximately JPY 50.1 billion, representing the largest allocation under the AI computing subsidy programme. KDDI was approved for up to approximately JPY 10.24 billion, while Highreso and Highreso Kagawa were approved for up to approximately JPY 7.70 billion.