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Graphics Processing Units Database Market Analysis

  • Report ID: 2923
  • Published Date: Sep 15, 2025
  • Report Format: PDF, PPT

GPU Database Market Segmentation:

Component Segment Analysis

The tools segment is expected to account for 62.5% throughout the forecast timeline, attributed to rising demand for GPU-accelerated data processing frameworks across several sectors and growing need for high-performance computing in data-intensive applications such as AI, ML, and real-time analytics. The tools segment encompasses several software solutions that enhance the functionality and usability of GPU databases. These tools facilitate intricate tasks like data ingestion, query optimization, and visualization, enabling organizations to leverage the full potential of GPU databases.

GPU Database Tools & Ecosystem

Tool

Function

Works With

RAPIDS.ai (NVIDIA)

Open-source GPU-accelerated data science libraries (cuDF, cuML, cuGraph)

Integrates with BlazingSQL, Dask, Spark

cuDF

Pandas-like GPU dataframe library

Used in RAPIDS workflows

cuML

GPU-accelerated ML algorithms

Works with scikit-learn style APIs

Dask-cuDF

Distributed GPU dataframe processing

Scales across multiple GPUs/nodes

Apache Arrow (GPU-enabled)

Columnar in-memory data format

Data interchange across GPU tools

Tableau / Power BI

Visualization and BI tools

OmniSci, Kinetica

Application Segment Analysis

The customer experience management segment is expected to register a rapid CAGR during the forecast period, owing to high demand for real-time, personalized customer interactions. GPU databases assist organizations in processing and analyzing large volumes of customer data more efficiently, offering the delivery of tailored recommendations and individualized customer interactions. In March 2025, Oracle partnered with NVIDIA to integrate NVIDIA’s computing technology and inference software with Oracle’s AI infrastructure and generative AI services. The partnership aims to help organizations across the globe speed up the development of AI applications. As per the partnership, over 160 AI tools and 100+ NVIDIA NIM microservices will be directly accessible via the Oracle Cloud Infrastructure (OCI) Console.

Our in-depth analysis of the global market includes the following segments:

Segment

Subsegments

Component
  • Tools
  • Services
  • Applications

Deployment
  • Cloud
  • On-Premise

Application
  • Governance
  • Risk
  • Compliance
  • Threat Intelligence
  • Customer Experience Management
  • Fraud Detection & Prevention
  • Predictive Maintenance
  • Supply Chain Management

Browse key industry insights with market data tables & charts from the report:

Frequently Asked Questions (FAQ)

In the year 2025, the industry size of GPU database is assessed at USD 1.2 billion.

GPU database market size is valued at USD 1.2 billion in 2025 and is projected to reach USD 3.7 billion by the end of 2035, expanding at a CAGR of 12.2% during the anticipated forecast timeline from 2026 to 2035.

The North America GPU database sector is poised to hold a leading revenue share of 34.6% throughout the forecast period.

The major players in the market are NVIDIA Corporation, AMD (Advanced Micro Devices), Intel Corporation, Samsung Electronics, Fujitsu Limited, ARM Holdings, ASML Holding, Toshiba Corporation, Micron Technology, Infosys Limited, Broadcom Inc., Telstra Corporation Limited, STMicroelectronics, Renesas Electronics Corporation, Malaysian Technology Development Corporation (MTDC).
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