HPC data management market seen topping $91 billion by 2030

Jun. 22, 2026
By AI, Created 04:31 UTC, Jun 22, 2026, AGP -

The Business Research Company projects the global high-performance computing data management market will reach $91.19 billion by 2030, driven by growing AI, simulation and cloud workloads. Asia-Pacific is forecast to be the largest region, while the U.S. is expected to be the biggest country market.

Why it matters: - The market forecast points to fast-growing demand for infrastructure that can store, move and analyze large data sets generated by AI, simulation and other compute-heavy workloads. - The report places high-performance computing data management at about 30% of the parent infrastructure software market by 2030. - The category is also expected to represent nearly 0.7% of the broader information technology market by 2030.

What happened: - The Business Research Company projected the global HPC data management market will surpass $91 billion in 2030. - The report estimated the market at $91.19 billion in 2030. - The expected compound annual growth rate through 2030 is 16%. - The report was published June 21, 2026. - The company offered a free sample of the report. - The company also linked to the full market report.

The details: - Asia-Pacific is projected to be the largest region in 2030, with a market value of $31 billion. - Asia-Pacific market value is expected to rise from $13 billion in 2025, a 20% CAGR. - The U.S. is projected to be the largest country market in 2030, valued at $27 billion. - U.S. market value is expected to grow from $14 billion in 2025, a 14% CAGR. - The largest type segment is storage and management, which is forecast to account for 34% of the market, or $31 billion, in 2030. - The market is segmented by type into high performance computing, data analysis, storage and management, and other types. - The market is segmented by services into data analysis software and data analysis workbenches. - The market is segmented by application into life sciences research, drug discovery and development, clinical trials, and other applications. - The market is segmented by end user into academic and research institutes, pharmaceutical and biotechnology companies, hospitals and diagnostic centers, and other end users. - The report said the storage and management segment will benefit from rising data volumes tied to AI, machine learning and simulation workloads. - The report also pointed to cloud-based and hybrid data management systems, parallel file systems and high-performance storage architectures as growth supports.

Between the lines: - The growth forecast reflects a broader shift toward data-intensive computing across research, enterprise and public-sector workloads. - AI and machine learning are not just end uses for HPC systems. They are also creating the storage and data-movement bottlenecks that make specialized data management more valuable. - The report’s regional split suggests Asia-Pacific is becoming a major center for HPC investment, while the U.S. remains the largest single national market.

What's next: - The Business Research Company said its 2026 market reports now include market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based dashboards, market hotspots infographics, and updated trend analysis. - The report forecast that the high performance computing market, the data analysis market, the storage and management market and the other types market will collectively add more than $50 billion in value by 2030. - The company projected growth of $13 billion for the high performance computing segment, $17 billion for data analysis, $17 billion for storage and management, and $3 billion for other types over the next five years. - The company said its research is based on primary and secondary sources and includes estimates and opinions rather than investment guidance.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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