Introduction

The Database Management System (DBMS) Market, valued at USD 85.48 billion in 2023, is expected to surge to USD 225.17 billion by 2032, growing at a strong CAGR of 11.41%. With the explosion of data from IoT devices, digital platforms, and enterprise applications, businesses need scalable and secure solutions to handle both structured and unstructured datasets. Cloud migration, AI/ML integration, and real-time analytics are transforming how organizations store, retrieve, and process information.

But here’s the real question—will traditional relational databases continue to dominate, or will non-relational systems take the lead in the AI-driven era?

Key Players

Leading the charge are Oracle, Microsoft, IBM, Amazon Web Services, Google Cloud, SAP, MongoDB, Snowflake, Teradata, Redis, and PostgreSQL. Oracle’s multi cloud expansion, Microsoft’s Azure SQL, and AWS’s RDS are reshaping enterprise data strategies. Meanwhile, MongoDB and Snowflake are innovating with flexible, cloud-native offerings for real-time analytics.

With both tech giants and open-source leaders in the mix, who do you think will win—the established players or the disruptors?

Segmentation

By type, relational databases held 64% share in 2023, thanks to their structure and reliability, while non-relational (NoSQL) is growing fastest with 12.81% CAGR, driven by big data and AI. By deployment, the cloud DBMS segment leads with 66% share, offering scalability and cost savings over on-premise solutions. Large enterprises dominated with 71% share, but SMEs are quickly adopting SaaS-driven databases for affordability and agility.

Industry-wise, BFSI leads today, while healthcare is set to grow fastest with the rise of digital health and telemedicine. Could healthcare become the next big DBMS frontier?

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