GPU Database Market Size
GPU Database Market Analysis
The GPU Database Market size is estimated at USD 0.7 billion in 2025, and is expected to reach USD 0.7 billion by 2030, at a CAGR of 20.04% during the forecast period (2025-2030).
The GPU database market is experiencing significant growth due to its ability to handle large datasets and perform real-time analytics efficiently. The increasing need for real-time data processing in industries such as finance, healthcare, and telecommunications is driving the adoption of GPU databases. These databases excel in processing large volumes of data quickly, which is crucial for applications like fraud detection and predictive modeling.
- The launch of high-performance games demanding advanced graphics capabilities significantly drives GPU sales. As gamers pursue enhanced performance and immersive experiences, the demand for powerful GPUs surges.
- Innovations in in-memory processing empower GPU databases to execute queries at unmatched speeds by directly storing data in memory. Additionally, GPU databases' compatibility with platforms like TensorFlow and PyTorch boosts their appeal to data scientists, streamlining complex analytics and predictive modeling.
- Furthermore, the surge in smartphone technologies, especially with 5G's introduction, propels the demand for mobile GPUs, as manufacturers embed advanced graphics capabilities into their devices.
- The boom in cloud computing services has spurred investments in GPU infrastructure within data centers. Leading cloud providers harness GPU capabilities to bolster their offerings, especially in AI-as-a-service (AIaaS) solutions. This trend, coupled with a shift towards hybrid cloud environments, amplifies the demand for GPU-enabled data centers, enabling businesses to scale operations seamlessly.
- Producing advanced GPUs, particularly those tailored for AI and machine learning, demands hefty investments in semiconductor technology and manufacturing. Such high costs can hinder smaller companies' competitiveness and potentially inflate prices for consumers.
GPU Database Market Trends
5G to Hold Significant Market Demand
- Significant advancements in data processing, telecommunications, and real-time analytics are emerging at the intersection of GPU databases and 5G technology. By adding more GPUs to a server, GPU databases can efficiently scale, managing large datasets of up to 100 TB without needing additional servers.
- As the number of 5G mobile subscriptions rises, the market is poised for substantial growth. Within the 5G network, the Radio Access Network (RAN) – especially its Physical Layer (Layer 1) – demands the most computational power. GPUs play a pivotal role, executing complex mathematical operations like channel estimation, modulation, and forward error correction, all vital for the network's efficiency.
- A new GPU-based scheduler for 5G New Radio (NR) boasts a scheduling time resolution of about 100 microseconds, outpacing current LTE schedulers that lag at a minimum of 1 millisecond.
- By integrating Multi-Access Edge Computing (MEC) with GPU technology, processing occurs closer to end-users. This proximity diminishes latency and boosts application responsiveness in fields like IoT and AI, meeting the demands of the myriad devices connected through 5G.
- Moreover, NVIDIA's AI-on-5G platform merges AI applications with private 5G networks on a unified GPU-accelerated platform, enabling low-latency functionalities like automated guided vehicles and precision robotics.
- In summary, 5G networks offer the low-latency and high-bandwidth connectivity that bolsters GPU databases, particularly in edge computing. This collaboration paves the way for real-time AI applications and analytics right at the network's edge.
North America is Expected to Hold a Major Share of the Market
- North America, especially the U.S. and Canada, is at the forefront of the GPU database market, propelled by technological advancements and a rising demand for real-time data processing. The region's robust technological infrastructure and innovative spirit have led to the swift adoption of GPU-accelerated tools, enabling rapid analytics and efficient data solutions across diverse sectors.
- Kinetica, OmniSci, SQream, Neo4j, and NVIDIA are among the key players steering the GPU database market. These companies are not only innovating to bolster GPU database capabilities but are also forging partnerships with tech firms to elevate their offerings and data processing prowess.
- As gamers demand heightened performance, there's a notable uptick in the quest for advanced GPUs, essential for rendering high-resolution graphics and executing the intricate computations of contemporary games. Moreover, Canada's thriving esports scene, drawing in more participants and viewers, amplifies the demand for such advanced gaming hardware.
- Telemedicine visits have skyrocketed for healthcare providers, witnessing a staggering 50-175 times increase from prior years. This surge underscores the need for the robust data processing capabilities that GPUs offer.
- The Million Veteran Program (MVP) harnesses GPU-accelerated computing for expansive genome-wide association studies (GWAS). By adopting a GPU-centric distributed computing strategy, researchers analyzed vast datasets from the electronic health records of nearly 636,000 veterans, achieving a remarkable 20-fold speedup over conventional methods. This collaboration between the U.S. Department of Veterans Affairs and the Department of Energy highlights the potential of merging clinical and genomic data with cutting-edge computing to advance precision medicine.
- In summary, North America's GPU database market is on an upward trajectory, buoyed by technological strides and a growing appetite for real-time data analytics across sectors. With major players pouring investments and emphasizing innovative applications, the market's growth momentum shows no signs of waning.
GPU Database Industry Overview
The GPU Database Market is highly competitive and fragmented, primarily driven by the presence of major players. These key players employ strategies such as mergers, acquisitions, and product innovations to maintain a competitive edge and broaden their global footprint. Key player include NVIDIA Corporation, Advanced Micro Devices, Inc. (AMD), Intel Corporation, IBM Corporation, Oracle Corporation and others.
In summary, the GPU database market is poised for substantial growth driven by the demand for real-time analytics, advancements in AI technologies, and the transition towards cloud solutions. As organizations increasingly rely on data-driven decision-making, GPU databases are becoming essential tools across various sectors.
GPU Database Market Leaders
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NVIDIA Corporation
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Advanced Micro DevicesInc. (AMD)
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Intel Corporation
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IBM Corporation
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Oracle Corporation
- *Disclaimer: Major Players sorted in no particular order
GPU Database Market News
- September 2024: Oracle Cloud Infrastructure (OCI) announced the first zettascale OCI Supercluster, accelerated by the NVIDIA Blackwell platform, to help enterprises train and deploy next-generation AI models using more than 100,000 of NVIDIA’s latest-generation GPUs. Further, Oracle Autonomous Database is gaining NVIDIA GPU support for Oracle Machine Learning notebooks to allow customers to accelerate their data processing workloads on Oracle Autonomous Database.
- September 2024: Vultr, the privately held cloud computing platform, announced a partnership with GPU-accelerated analytics platform provider HEAVY.AI. Integrating Vultr’s global NVIDIA GPU cloud infrastructure into its operations, HEAVY.AI can interactively query and visualize massive datasets, enabling faster, more efficient decision-making for customers across diverse sectors.
GPU Database Industry Segmentation
A GPU database uses graphics processing units (GPUs) to perform database operations. A GPU is a programmable processor designed to quickly render high resolution images and video.
The gpu database market is segmented by component (solution, services), by deployment (cloud, on-premises), by end-user (BFSI, IT and telecom, retail, healthcare, government, other end-users), by geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.
By Component | Solution |
Services | |
By Deployment | Cloud |
On-Premises | |
By End-user | BFSI |
IT and Telecom | |
Retail | |
Healthcare | |
Government | |
Other End-users | |
By Geography*** | North America |
Europe | |
Asia | |
Australia and New Zealand | |
Latin America | |
Middle East and Africa |
GPU Database Market Research FAQs
How big is the GPU Database Market?
The GPU Database Market size is expected to reach USD 0.7 billion in 2025 and grow at a CAGR of 20.04% to reach USD 0.7 billion by 2030.
What is the current GPU Database Market size?
In 2025, the GPU Database Market size is expected to reach USD 0.7 billion.
Who are the key players in GPU Database Market?
NVIDIA Corporation, Advanced Micro DevicesInc. (AMD), Intel Corporation, IBM Corporation and Oracle Corporation are the major companies operating in the GPU Database Market.
Which is the fastest growing region in GPU Database Market?
Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).
Which region has the biggest share in GPU Database Market?
In 2025, the North America accounts for the largest market share in GPU Database Market.
What years does this GPU Database Market cover, and what was the market size in 2024?
In 2024, the GPU Database Market size was estimated at USD 0.56 billion. The report covers the GPU Database Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the GPU Database Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.
GPU Database Industry Report
Statistics for the 2025 GPU Database market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. GPU Database analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.