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PUBLISHER: IDC | PRODUCT CODE: 1502859

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PUBLISHER: IDC | PRODUCT CODE: 1502859

Worldwide Database Management Systems Software Market Shares, 2023: AI Brings Smarts to the Data

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PAGES: 13 Pages
DELIVERY TIME: 1-2 business days
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This IDC study contains the market shares by vendor revenue for the database management systems (DBMS) market and shares of each of its submarkets: data lake management systems, in-memory shared data managers, low-code DBMS, navigational DBMS, non-schematic DBMS, and relational DBMS. It also includes reflections and commentary on the market overall in 2023 as well as the impact of specific vendors on the market. In addition, it offers actionable advice to technology suppliers."Key to growth for the top vendors was the embracing of nimble, rapidly deployable and configurable databases by the market," says Carl Olofson, research vice president for Data Management Software at IDC. "Completeness of the AI vision and of the underlying data management necessary to make effective GenAI solutions a reality will be critical to success."

Product Code: US52367424

IDC Market Share Figure

Executive Summary

Advice for Technology Suppliers

Market Share

Who Shaped the Year

Market Context

  • Market Growth Factors
  • Constant Versus Current Currency
  • Regional and Deployment Model Growth
  • Significant Market Developments
    • Move from Tables to Documents
    • Cloud Migrations and Hybrid Deployments
    • Generative AI
    • Streaming and Time Series Data

Methodology

Market Definition

  • Database Management Systems
    • Relational Database Management Systems
    • Low-Code Database Management Systems
    • Navigational Database Management Systems
      • Fixed Record Database Management Systems
      • Object-Oriented Database Management Systems
      • Multivalue Database Management Systems
    • Non-Schematic Database Management Systems
      • Document-Oriented Database Systems
      • Key-Accessible Database Systems
      • Graph Database Management Systems
    • In-Memory Shared Data Managers
    • Data Lake Management Systems

Related Research

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