Database acceleration market seen reaching $17.89B by 2030
The database acceleration market is projected to grow from $12.17 billion in 2025 to $17.89 billion by 2030 as enterprises push for faster database performance, lower latency and real-time analytics. North America led the market in 2025, while Asia-Pacific is expected to grow fastest as cloud and digital transformation spending rises.
Why it matters: - Database acceleration tools help enterprises process larger data volumes faster, cut query latency and support real-time analytics. - The market’s growth reflects rising pressure on organizations to manage data-heavy workloads across cloud, AI and transaction systems. - Faster database performance can improve business intelligence, online transaction processing and operational decision-making.
What happened: - The Business Research Company said the database acceleration market reached $12.17 billion in 2025 and is expected to rise to $13.12 billion in 2026. - The market is forecast to reach $17.89 billion by 2030, implying an 8.1% compound annual growth rate from 2026 through 2030. - The company published its Database Acceleration Global Market Report 2026 covering market size, trends and forecasts for 2026-2035. - North America held the largest market share in 2025. - Asia-Pacific is expected to post the fastest growth during the forecast period.
The details: - Database acceleration includes hardware and software designed to speed up database operations by reducing query latency and improving transaction throughput. - Core technologies include in-memory computing, caching, indexing optimization, GPU and FPGA processing, and parallel query execution. - The report links recent growth to demand for data warehousing, relational databases, online transaction processing systems, business intelligence tools and big data analytics platforms. - The report says future demand will be driven by real-time analytics, AI-powered data platforms, cloud-native database deployments, low-latency transaction systems, and edge and distributed data processing. - Key trends highlighted in the report include AI-driven query optimization, in-memory and real-time processing, GPU and FPGA use, cloud-native distributed database acceleration, and automated indexing and workload optimization. - The report says growing demand for data processing and storage is a major market driver. - In November 2025, the House of Commons Library reported that UK data center capacity was about 1.6 GW in 2024 and could rise to 3.3 GW to 6.3 GW by 2030. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The company also said the 2026 market reports include market attractiveness scoring, total addressable market analysis, company scoring matrix graphics and tables, Excel-based dashboards, market hotspots infographics, and updated technology and trend analysis. - More information is available in the full report and a free sample.
Between the lines: - The forecast suggests database acceleration is shifting from a niche performance tool to a core layer of enterprise data infrastructure. - Cloud migration and AI adoption are likely increasing the need for faster query processing and more efficient storage systems. - The regional split points to a mature North American market and a faster-expanding Asia-Pacific opportunity.
What's next: - Growth is likely to track investment in cloud-native databases, AI data platforms and distributed computing. - Vendors will likely compete on automation, workload optimization and support for real-time analytics. - The market’s next phase will depend on how quickly enterprises scale infrastructure for low-latency data processing.
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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