AUSTIN, Texas and TOKYO, July 02, 2026: DataM Intelligence, a global market intelligence and consulting firm, has released its latest analysis of the Japan AI Data Centers Market, which is entering an era of fast-growing phase because of the fast adoption of generative AI technology, enterprises' AI adoption, and sovereign AI infrastructure development through government investments. As per the reports, the market is estimated to reach US$ 59.0 billion by 2035 from US$ 6.3 billion in 2025, at a CAGR of 25%. Hardware Infrastructure will hold a 75% share of the market in 2026, backed by the growing deployments of GPU clusters, AI accelerators, and high-density computing systems. The government of Japan has invested ¥72.5 billion (US$480 million) in its domestic AI computing infrastructure. Similarly, Blackstone has announced an investment of US$30 billion in Japan's AI data centers, aiming at more than 1 GW of power. Besides, the growing use of liquid cooling, AI-specific hyperscale data centers, edge AI infrastructure, and sovereign clouds has strengthened the position of Japan as a strategic AI computing hub.
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Key Takeaways
- The commercialization of generative AI and large language models carries the most influence on drivers, with 40% of market growth contribution, followed by enterprise AI adoption with 30% market growth contribution.
- Hardware holds the largest market share of 75% in the component segment by 2026. Development in GPU, AI accelerator, HBM, and network technology accounts for 18% of the market growth.
- Japanese Government announces a USD 480 million (¥72.5 billion) investment towards AI and computing within Japan in 2024.
- Blackstone made an announcement that the company will invest around USD 30 billion in Japanese AI data centers over the course of the next three to five years, aiming at exceeding 1 GW of total power capacity.
- According to the International Trade Administration (ITA), Japan's AI infrastructure is rapidly expanding at a market value of $8.9 billion in 2024, and it is projected to reach $27.9 billion by 2029.
Commercialization of Generative AI and Enterprise AI Adoption Accelerates Demand for AI-Optimized Data Center Infrastructure
Rapid commercialization of Generative AI, LLMs, and Enterprise AI drives increased demand for AI-optimized data center infrastructure in Japan. Organizations from such industries as manufacturing, automotive, financial services, healthcare, telecom, and retail deploy AI at scale, thus driving continuous demand for GPU clusters, high density computing, low latency network, and storage optimized for AI workloads. In terms of market analysis, the commercialization of Generative AI drives almost 40% of total market growth, while Enterprise AI drives an additional 30%, becoming the two largest catalysts of market growth in Japan's AI data center infrastructure industry. Furthermore, the Japanese government stimulates the development of domestic AI infrastructure by funding AI computing and Generative AI projects with ¥72.5 billion (approximately $480 million) in 2024, which enables sovereignty of AI and domestic computing capacity.
In addition, the International Trade Administration (ITA) forecasts the size of Japan's AI infrastructure market at US$ 8.9 billion in 2024 and expects the market to grow to US$ 27.9 billion by 2029. Thus, this demonstrates the rapid growth of AI-driven digital infrastructure in Japan. As another example, Blackstone invested approximately US$ 30 billion in AI data centers in Japan within 3-5 years, aiming to get more than 1 GW of power capacity.
GPU-Optimized Hardware Infrastructure Dominates Japan AI Data Centers Market Through Rising AI Compute Requirements and High-Density Deployments
The hardware infrastructure is set to become the biggest and most critical segment in the Japan AI Data Centers Market due to fast scaling out of generative AI, LLMs, HPC, and AI enterprise workloads. As the demands on AI model training and inference become more compute-intensive, hyperscale cloud service providers, colocation facilities providers, and enterprise data centers continue scaling out investments into GPU servers, AI accelerators, HBM, HPC storage, and low-latency networking infrastructure. In terms of market breakdown, the hardware segment will make up around 75% of the Japan AI data center market in 2026, and innovations in GPUs, AI accelerators, HBM, and networking technologies are responsible for almost 18% of total market growth.
Investments backed by the government in local AI hardware infrastructure and the sovereignty of AI have also been increasing rapidly in Japan. June 2026, Blackstone had announced its plans to invest an estimated $30 billion into Japan’s AI data centers within the next three to five years, with talks underway for building centers having a combined power capacity of over 1 GW.
Competitive Landscape and Strategic Developments
The Japan AI data center market is very competitive, yet moderately concentrated, where the main source of competition is the expansion of data center capacity, advancements in cooling and power system technology, partnerships, and availability of land and power sources, given the limited supply. The industry players have been concentrating on building hyperscale capacities, use of liquid cooling technology, construction of sovereign AI infrastructure, and partnerships with the global hyperscalers. These are followed by global hyperscalers such as Microsoft, Amazon Web Services (AWS), and Google Cloud that together represent 58.9% of total AI infrastructure market spend in 2025 compared to 39.8% in 2022. The international colocation service providers such as Digital Realty, Equinix, Airtrunk, and Colt Data Centre Services have been quickly expanding their business, collaborating with the local Japanese partners such as Mitsubishi Corp., Daiwa House, and Taisei Corp. to get the necessary land and power resources.
Local telecom and IT providers, including KDDI, Fujitsu, NEC Corporation, and IDC Frontier, altogether represented 31.6% of market share in 2025. In March 2026, DigitalBridge and Japan Exchange and Industry (JEXI) concluded the acquisition of selected data center facilities from NEC Corporation, improving their standing in Japan’s digital infrastructure industry.
Key Developments:
- June 2025, KDDI partnered with Hewlett Packard Enterprise (HPE) to launch AI data centers in Japan by early 2026, utilizing KDDI’s capabilities in operating data centers along with HPE’s technologies in AI infrastructure.
- June 2026, to expand its footprint in Japan, GDS formed a partnership with Gaw Capital Partners for the development of a 40 MW data center in Tokyo.
- October 2025, SoftBank and Oracle formed a strategic alliance for providing their AI and sovereign cloud offerings to companies in Japan via the Oracle Alloy technology. This partnership allows SoftBank to deploy OCI-based AI and cloud offerings in their local data centers that ensure security in AI computing, data sovereignty, and building up of an AI-ready data center infrastructure in Japan.
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Leading Company Profiles and Strategic Developments
NTT DATA (Japan)
NTT DATA participates in a market that is worth US$ 6.3 billion in 2025 and is expected to grow to US$ 59.0 billion in 2035 with a strong CAGR of 25%. The firm concentrates on creating capacity in the infrastructure space, strategic locations, and installation of high-end cooling and next-generation networking systems. The firm is excellently placed to remain dominant in the future, leveraging its unique competitive environment that features hardware that has about 75% market share in 2026 and regional diversity, enabling the firm to avoid challenges related to land shortage in the Greater Tokyo and Greater Osaka regions that have about 90% of national facilities.
In June 2026, NTT DATA launched an AI agent offering that would help in early-stage product planning for consumer products through the application of generative AI technologies.
Analyst Opinion
Based on the structural analysis of the Japan AI data centers market, there is an upcoming period characterized by rapid growth owing to the commercialization of generative AI models, the deployment of large language models (LLMs), and the adoption of machine learning across enterprises. The exponential rise in the demand for computing power in training and inferencing dense AI applications has created a structural requirement for customized infrastructure that can orchestrate GPU clusters with ultra-low-latency connectivity and high-performance storage capabilities. From a geographical perspective, the two most important points of asset concentration are still the Greater Tokyo region and Greater Osaka, housing almost all the nation’s data center facilities. But due to the shortage of land in such metropolitan areas, high property prices, and limited electrical grids, the secondary markets of the country have now become the most promising frontier for projects where it is much easier to obtain land and energy resources. The two most telling cases of massive financial investment are the announcement by Blackstone of spending about $30 billion in the next three to five years on the construction of a facility with a total power consumption capacity greater than 1 GW, as well as GDS and Gaw Capital Partners’ joint venture to build a 40 MW data center in Tokyo.
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