Global GPU Database Market Size, Forecast, and Trend Highlights Over 2025-2037
GPU Database Market size was valued at USD 529.7 million in 2024 and is projected to reach USD 3 billion by the end of 2037, expanding at a CAGR of 14% during the anticipated forecast timeline from 2025 to 2037. In 2025, the industry size of GPU database is estimated at USD 610.6 million.
A significant factor impacting the rising adoption rates of GPU databases is the heightened calls for real-time analytics across high-frequency transactions. This creates multiple application segments across industries such as cybersecurity, finance, and supply chain optimization. A key trend that is set to impact the market is the potential of CPU-based databases to be phased out by the next decade, paving the way for GPU databases, in a bid to support the large number of enterprises shifting to event-driven architectures from batch processing.
To understand the economic indicators of the GPU database market, the Producer Price Index (PPI) and the Consumer Price Index (CPI) must be analyzed. The table highlights the PPI and CPI analysis between 2024 and the first quarter of 2025.
|
Indicator/Program |
Region |
Stat/Allocation |
Implication |
|
Producer Price Index (PPI) – Electronic Computers |
U.S |
+3.5% YoY (Q1 2025 from Q1 2024) |
Rising input & logistics costs for GPU systems |
|
Consumer Price Index (CPI) – Data Processing Services |
U.S |
+2.2% YoY |
Stable end-user pricing despite manufacturing inflation |
Two major government initiatives are driving the GPU database market. One major initiative is the CHIPS and Science Act funding by the U.S., driving more than USD 50 billion in investments till 2030 and the Horizon Europe investment funneling more than USD 15 billion by 2027. Both of these initiatives are slated to improve GPU infrastructure in the respective regional markets.
The supply chain of the GPU database market operates in a strong supply chain framework. Upstream activities in the supply chain are supported by the procurement of raw materials such as rare earth elements and silicon wafers. As per the U.S. Geological Survey (USGS), the U.S. imported more than 80% of its rare earth compounds in 2023, mostly from China. Although the ongoing tariff disagreements can cause an impediment to the smooth trade flow. In midstream, GPU manufacturing is concentrated in economies that are technologically mature, with final assembly done in North America and parts of East Asia. Additionally, over the years, the export volume of high-performance computing systems has expanded, particularly toward APAC and Europe economies, which bode well for the continued growth curve of the global GPU database market.
GPU Database Sector: Growth Drivers and Challenges
Growth Drivers
-
Integration of GPU databases in genomic research and precision medicine: The heightened adoption of GPU databases has positively impacted genomic research and precision medicine initiatives. The impact has been noticeable in the healthcare sector via improvements in patient outcomes. A notable use case has been via the U.S. Million Veteran Program. For instance, in March 2024, research reported that analysis of vast datasets from more than 600,000 veterans' electronic health records achieved a 20% increase in speed through GPU-accelerated computing in comparison to traditional methods. The table below highlights additional successful use cases of GPU databases in the healthcare sector.
|
Initiative |
Outcome |
|
Australia's Rapid Genomic Screening |
Achieved a 70% precision care impact in critically ill children, delivering results in under three days. |
|
SOPHiA GENETICS' AI-Powered Platform |
Analyzed over 2 million patient genomic profiles, enhancing diagnostic accuracy and treatment decisions across 790+ institutions in 70+ countries. |
|
NVIDIA Parabricks v4.3 |
Reduced germline analysis time to under 10 minutes, achieving up to 108x acceleration, facilitating faster diagnostics. |
- Rising deployment of GPU databases in 5G network optimization: The global deployment of 5G has increased over the years, with advanced economies already laying the groundwork for the push to 6 G. 5G networks require robust data processing capabilities, and this requirement drives the demand for GPU databases. In February 2025, New Radion demonstrated notable advancements in GPU-based schedulers by scheduling time resolutions of approximately 100 microseconds, surpassing the 1-millisecond benchmark of LTE schedulers. This advancement bodes well for network management. Additionally, the integration of Multi-Access Edge Computing (MEC) with GPU technology has allowed for processing closer to end users.
Technological Advancements in the GPU Database Market Landscape
The global GBU database market is undergoing major transformation, bolstered by technological innovations across various industries. The advancements in GPU databases have led to favorable impact in multiple sectors. For instance, the healthcare sector has leveraged GPU databases to improve genomic research, while the telecommunication sector has utilized them to improve network performance. Although the adoption patterns exhibit variation across sectors, the continuous advancements in GPU databases are expected to expand the scope of impact. The table below highlights technological trends and industry adoption cases.
|
Technological Trend |
Industry Adoption Example |
Impact |
|
GPU-Accelerated Genomic Analysis |
Healthcare: NVIDIA Parabricks accelerates genome sequencing by 50x in clinical settings |
Boosts precision medicine by enabling rapid genomic data processing |
|
Real-Time Fraud Detection |
Finance: Banks implement GPU databases for instant transaction analysis |
Reduces fraud incidents by enabling real-time monitoring |
|
Network Optimization in 5G |
Telecommunications: Companies use GPU databases to manage 5G network traffic |
Improves network reliability and customer satisfaction |
Challenges
-
Data consistency and synchronization bottlenecks in real-time multi-source GPU database environments: In GPU database deployments, which span heterogeneous data sources such as IoT sensors, cloud platforms, edge devices, etc., a major technical challenge emerges in maintaining data consistency. In comparison to CPU databases, GPU architecture focuses on parallelism as a trade-off for consistency, creating further impediments via synchronization bottlenecks. Additionally, multiple industries, ranging from telecom to manufacturing, are increasingly relying on multi-source streaming data for faster analytics, causing a challenge for GPU databases in scalability.
GPU Database Market: Key Insights
| Report Attribute | Details |
|---|---|
|
Base Year |
2024 |
|
Forecast Year |
2025-2037 |
|
CAGR |
14% |
|
Base Year Market Size (2024) |
USD 529.7 million |
|
Forecast Year Market Size (2037) |
USD 3 billion |
|
Regional Scope |
|
GPU Database Segmentation
Component (Tools, Services, Applications)
The tools segment of the GPU database market is slated to hold a dominant revenue share of 62.5% throughout the forecast timeline. The rising demand for GPU-accelerated data processing frameworks boosts the segment’s potential. Sectors such as national security, scientific research, and public health analytics require heightened data processing capabilities that GPU databases offer. In 2024, the U.S. National Institutes of Health reported that there was a more than 34% increase in grant allocations for high-performance computing. The budget allocation is poised to converge with GPU-accelerated tools for genome data analysis. Similarly, in March 2025, NIST reported that GPU-powered tools lead to a major reduction in computational time for large-scale simulations. This creates an expanded scope of application in emergency response systems.
Application (Customer Experience Management, Governance, Risk, Compliance, Threat Intelligence, Fraud Detection and Prevention, Predictive Maintenance)
The customer experience management (CEM) segment in GPU database market is positioned to register robust expansion throughout the forecast timeline. A key factor driving the expansion is the heightened personalization initiatives driven by data in the public as well as private industries. A 2024 report from the U.S. General Services Administration noted that more than 60% of federal agencies have proactively implemented GPU-accelerated analytic platforms. Additionally, in Federal Trade Commission reported in 2025 that fraud detection improves via GPU databases, which has boosted customer trust in financial services. CEM outcomes are positively reinforced by these advancements, ensuring the segment expands its revenue share by the end of 2037.
Our in-depth analysis of the global GPU database market includes the following segments:
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Component |
|
|
Deployment |
|
|
Application |
|
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Customize this ReportGPU Database Industry - Regional Synopsis
North America Market Forecast
The North America GPU database market is poised to hold a leading revenue share of 34.6% throughout the forecast period. A major factor driving the regional market’s growth is the heightened federal ICT investments in the region. Major tech hubs in the region are key end users of GPU databases. Recent data from the FCC has highlighted that around 8.5% of the federal budget in 2024 was allocated to expanding next-generation network technologies. Additionally, the NTIA’s ongoing digital equity programs have expanded access to GPU-powered database services in rural communities across the region. In addition to these drivers, the heightened regulatory push for data security in the U.S.S. and Canada is expected to ensure the continued dominance of the North America market.
The U.S. GPU database market is estimated to maintain its revenue share throughout the forecast timeline. A key facet of the U.S. market is the heightened federal funding, as reported by the NTIA. The U.S. Department of Energy’s exascale computing projects rely on GPU technology for scientific simulations, which spurs commercial GPU database development. Additionally, the recent FCC initiative, such as the Rural Digital Opportunity Fund, has bolstered improved broadband connectivity, increasing the market penetration for GPU database solutions in various sectors in the U.S.
APAC Market Forecast
The APAC GPU database market is positioned to register the fastest expansion throughout the anticipated timeline at a CAGR of 13.2%. A major feature driving the APAC market’s growth is the accelerated digital transformation efforts across the region. APAC is also experiencing considerable investments in cloud infrastructure, particularly in big data analytics. In 2023, government reports from Japan’s Ministry of Internal Affairs and Communications emphasized strong subsidies for AI adoption across various sectors, which in turn creates ample opportunities for the deployment of GPU databases. Additionally, Southeast Asian countries such as Malaysia and Indonesia are leveraging GPU databases against the backdrop of the expansion of digital payment ecosystems and e-commerce.
The China GPU databases market is slated to maintain a dominant revenue share throughout the forecast period. The government-driven digital sovereignty initiatives drive the China GPU database market. According to China’s Ministry of Industry and Information Technology (MIIT), there were major investments to improve AI infrastructure in 2024. Such investments create favorable opportunities for GPU database deployment. Additionally, China’s aggressive push for digital economy reforms is predicted to boost GPU database integration.
Companies Dominating the GPU Database Landscape
- Company Overview
- Business Strategy
- Key Product Offerings
- Financial Performance
- Key Performance Indicators
- Risk Analysis
- Recent Development
- Regional Presence
- SWOT Analysis
The global GPU database market is poised to expand during the forecast period. Major players such as NVIDIA, AMD, and Intel hold leading revenue shares in the sector. Apart from the U.S. firms, Samsung of South Korea and Fujitsu of Japan hold significant shares in the global market. Companies in the market are additionally focusing on geographic expansion to capitalize on the opportunities in the emerging markets. The table below highlights the major players in the global GPU database market.
|
Rank |
Company Name |
Country |
Revenue Share (2024) |
|
1 |
NVIDIA Corporation |
USA |
28.7% |
|
2 |
AMD (Advanced Micro Devices) |
USA |
16.4% |
|
3 |
Intel Corporation |
USA |
12.9% |
|
4 |
Samsung Electronics |
South Korea
|
8.8% |
|
5 |
Fujitsu Limited |
Japan |
6.7% |
|
6 |
ARM Holdings |
UK
|
XX |
|
7 |
ASML Holding |
Netherlands
|
XX |
|
8 |
Toshiba Corporation |
Japan |
XX |
|
9 |
Micron Technology |
USA |
XX |
|
10 |
Infosys Limited |
India |
XX |
|
11 |
Broadcom Inc. |
USA |
XX |
|
12 |
Telstra Corporation Limited |
Australia |
XX |
|
13 |
STMicroelectronics |
Switzerland |
XX |
|
14 |
Renesas Electronics Corporation |
Japan |
XX |
|
15 |
Malaysian Technology Development Corporation (MTDC) |
Malaysia |
XX |
Below are the areas covered for each company that is a key player in the GPU Database market:
In the News
- In March 2024, NVIDIA introduced the DGX Cloud, an advanced cloud-based AI and GPU database platform. The new platform assists enterprises in accelerating AI workloads without the need for on-premise infrastructure. According to NVIDIA’s Q1 2024 report on earnings, the launch contributed to a more than 20% revenue increase in their data center segment.
- In March 2024, AMD announced the integration of its M1300 series GPUs with leading database vendors. The integration bolstered real-time data processing abilities in cloud platforms. The new integration is also set to benefit the heightened demand for GPU-accelerated databases.
Author Credits: Abhishek Verma
- Report ID: 2923
- Published Date: May 19, 2025
- Report Format: PDF, PPT
