In-memory database market seen reaching $13.4 billion by 2030

2 hours ago
In-memory database market seen reaching $13.4 billion by 2030

By AI, Created 11:36 AM UTC, May 27, 2026, /AGP/ – The Business Research Company projects the global in-memory database market will grow from $6.66 billion in 2025 to $13.41 billion by 2030, powered by cloud adoption, real-time analytics and AI use cases. North America led the market in 2025, while Asia-Pacific is expected to grow fastest through the forecast period.

Why it matters: - In-memory databases speed up data processing by keeping information in RAM instead of disk storage. - The technology is becoming more important for real-time applications, high-speed transaction processing and analytics across finance, telecommunications and other data-heavy sectors. - The market’s projected rise to $13.41 billion by 2030 signals continued enterprise spending on faster database infrastructure.

What happened: - The Business Research Company released its In-Memory Database Market Report 2026 on May 28, 2026. - The report estimates the market at $6.66 billion in 2025 and $7.65 billion in 2026. - The report forecasts the market will reach $13.41 billion by 2030, implying a 15.1% CAGR from 2026 to 2030. - The company also projects 14.8% growth from 2025 to 2026. - The report describes in-memory databases as systems that store data primarily in main memory for faster access and lower latency. - Download a free sample of the report - View the full in-memory database market report

The details: - Growth drivers include demand for low-latency database systems, rising transactional workloads, broader enterprise adoption of in-memory computing and expanding real-time analytics. - Cloud-based deployment is a major catalyst because cloud infrastructure supports scalable digital services and distributed data processing. - AI and machine learning integration are helping improve predictive analytics. - IoT-generated data and streaming workloads are increasing demand for faster data handling. - Hybrid and multi-cloud architectures are broadening the use case for in-memory databases. - Digital transformation programs across industries are expanding the addressable market. - Emerging trends include real-time analytics, high-speed transaction processing, data caching, streaming data handling and geospatial data management. - The report says North America was the largest regional market in 2025. - The Asia-Pacific region is expected to post the fastest growth over the forecast period. - The market coverage spans Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The 2026 report edition adds market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, key technologies and future trend analysis, plus updated graphics and tables.

Between the lines: - Cloud adoption is doing more than shifting workloads off-premises; it is creating the infrastructure needed for faster, always-on analytics. - The report’s emphasis on AI, IoT and streaming data suggests in-memory databases are moving from a niche performance tool to a broader data layer for modern applications. - The regional split points to a mature North American market and a faster-rising Asia-Pacific opportunity. - In March 2025, the UK Office for National Statistics reported that 69% of UK companies used cloud-based computing systems and applications in 2023, underscoring the wider cloud trend behind database demand.

What’s next: - The market is expected to keep expanding as enterprises adopt cloud, AI and multi-cloud systems. - Real-time analytics and low-latency processing should remain the main product priorities for vendors. - Faster growth in Asia-Pacific could reshape where vendors focus sales and deployment efforts. - The report suggests continued product development around streaming, caching and geospatial capabilities.

The bottom line: - In-memory databases are moving deeper into the mainstream as businesses prioritize speed, scale and real-time decision-making.

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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