GPU资料库市场－全球产业规模、份额、趋势、机会与预测：按工具、服务、应用、产业、地区和竞争格局划分，2021-2031年

全球 GPU资料库市场预计将从 2025 年的 67.8 亿美元成长到 2031 年的 137.3 亿美元，复合年增长率为 12.48%。

GPU资料库利用图形处理器的平行处理能力，将复杂查询和资料分析的速度提升到远超标准处理器系统的水平。巨量资料呈指数级增长，以及人工智慧应用对即时洞察的需求，是推动这一市场发展的动力。这种对加速运算的需求也反映在硬体发展趋势中。半导体产业协会（SIA）预测，到2024年，全球半导体销售额将达到6,276亿美元，主要得益于人工智慧和资料中心产业对这些资料库架构的支持。

阻碍市场扩张的主要挑战之一是商用级GPU基础设施的高昂成本。硬体的高额初始投资，加上显着的能耗，对预算紧张的企业构成了一大障碍。此外，相对于系统记忆体而言，显存容量的技术限制也要求采用昂贵的可扩充架构。这种复杂性使得专业工程资源有限的公司难以部署，阻碍了GPU的广泛应用。

市场驱动因素

人工智慧 (AI) 和机器学习 (ML) 工作负载的加速普及是全球 GPU资料库市场的关键驱动因素。随着企业整合大规模语言模型 (LLM) 和生成式 AI，对能够管理向量嵌入和复杂演算法运算的高效能资料库的需求呈现爆炸性成长。传统的储存架构往往无法满足这些现代工作负载所需的运算强度，促使企业转向能够处理大规模平行资料流的 GPU 加速解决方案。这种基础设施转型体现在底层硬体投资的激增。据 NVIDIA 称，2024 年 8 月季度资料中心收入达到创纪录的 263 亿美元，年增 154%。这表明，企业迫切需要专门的资料库软体来最大限度地发挥这些高效能处理器的效用。

同时，对即时分析和决策智慧的激增需求正推动市场向具备卓越查询处理能力的架构转型。传统的基于 CPU 的系统难以即时摄取和查询大规模串流资料集。 GPU资料库透过并行化任务来弥补这一延迟差距，从而显着缩短处理时间。例如，Kinetica 在 2024 年 3 月报告称，其 GPU 加速引擎在向量嵌入摄取速度方面比传统市场领导快了五倍。这种性能对于从实验阶段过渡到全面生产部署的公司至关重要。 IBM 在 2024 年的一项调查发现，约 42% 的企业级组织正在积极采用人工智慧，这凸显了企业营运对强大、高速资料基础设施的广泛依赖。

市场挑战

商用级GPU基础设施的高昂成本是全球GPU资料库市场扩张的主要障碍。这一成本障碍包括高性能硬体所需的巨额初始投资以及因高能耗而产生的持续营运成本。预算有限的组织，尤其是中小企业，实际上被排除在采用这些先进资料库解决方案之外，从而将市场限制在资金雄厚的大型企业。因此，由于整体拥有成本（TCO）过高，许多潜在采用者推迟或放弃采用，导致市场渗透率显着下降。

这种资源密集型需求直接造成了营运瓶颈，进一步限制了市场的扩充性。所需基础设施的能源需求给营运预算和设施容量带来了巨大压力，使得永续性和经济性难以实现。根据国际能源总署（IEA）的数据，到2024年，全球资料中心的电力消耗量将达到约415兆瓦时。如此高的电力消耗需要昂贵且可扩展的架构和专门的工程技术，这进一步增加了部署的复杂性。这些财务和技术的双重压力限制了潜在市场，并直接阻碍了GPU资料库技术的广泛应用和普及。

市场趋势

无伺服器和弹性云原生架构的采用正在重塑市场格局，企业透过解耦运算和储存来管理波动的分析工作负载。这种转变使企业能够动态扩展 GPU 资源以应对突发任务，并避免硬体閒置成本。透过利用云端原生原则，这些资料库可以直接在云端储存上处理Petabyte级资料集，从而避免高成本的资料迁移。这种效率提升是可以量化的。 2024 年 9 月，SQream 宣布其云端原生架构处理 30 Terabyte资料的速度是领先的基于 Spark 的引擎的三倍，展现了其在海量资料处理方面的卓越能力。

GPU加速的地理空间和位置智慧技术正推动市场向城市规划等领域扩展，而传统地理资讯系统（GIS）在这些领域面临瓶颈。标准的基于CPU的工具通常无法即时分析复杂的时空数据，而GPU资料库透过并行化几何计算克服了这一挑战，实现了即时视觉化。这种性能提升对于实际营运至关重要。根据HEAVY.AI在2024年6月发布的公告，格伦代尔市报告称，其GPU加速平台管理的记录超过2000万条，能够对当地活动进行精确分析，而传统GIS工具的处理能力仅限于40万条记录。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球GPU资料库市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按工具（GPU加速资料库，GPU加速分析）
  • 依服务类型（咨询、支援、维护）
  • 依应用领域（管治、风险与合规、威胁情报、客户体验管理）
  • 按行业划分（银行、金融、保险、零售、电子商务、医​​疗保健、IT、通讯）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美GPU资料库市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 我们
  • 加拿大
  • 墨西哥

第七章：欧洲GPU资料库市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

8. 亚太地区GPU资料库市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲GPU资料库市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美GPU资料库市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章：全球GPU资料库市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• NVIDIA Corporation
• Kinetica DB Inc.
• SQream Technologies
• Brytlyt Ltd.
• Neo4j, Inc.
• Heavy.AI
• Fuzzy Logix
• Anaconda Inc.
• BlazingDB
• OmniSci

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global GPU Database Market is projected to grow from USD 6.78 Billion in 2025 to USD 13.73 Billion by 2031, registering a CAGR of 12.48%. By utilizing the parallel processing power of Graphics Processing Units, a GPU database accelerates complex queries and data analytics far beyond the capabilities of standard processor systems. The market is driven by the exponential growth of big data and the critical necessity for instantaneous insights within artificial intelligence applications. This demand for accelerated computing is reflected in hardware trends; according to the Semiconductor Industry Association, global semiconductor sales reached $627.6 billion in 2024, largely driven by the AI and data center sectors that underpin these database architectures.

One significant challenge impeding market expansion is the substantial cost associated with commercial-grade GPU infrastructure. The high initial capital expenditure for hardware, combined with significant energy consumption, creates a barrier for budget-constrained organizations. Furthermore, the technical limitation of video memory capacity relative to system RAM necessitates expensive scalable architectures. This complexity complicates deployment for businesses with limited specialized engineering resources, hindering wider adoption.

Market Driver

The accelerated adoption of Artificial Intelligence and Machine Learning workloads is a primary engine for the Global GPU Database Market. As enterprises integrate Large Language Models (LLMs) and generative AI, the necessity for high-performance databases capable of managing vector embeddings and complex algorithmic calculations has surged. Traditional storage architectures often fail to meet the computational intensity required by these modern workloads, driving organizations toward GPU-accelerated solutions that can process massive parallel streams of data. This infrastructure shift is quantitatively visible in the skyrocketing investment in underlying hardware; according to NVIDIA, in August 2024, record quarterly Data Center revenue reached $26.3 billion, marking a 154% increase from the previous year, which indicates a parallel and urgent necessity for specialized database software to maximize the utility of these powerful processors.

Simultaneously, the surging demand for real-time analytics and decision intelligence forces the market toward architectures that offer superior parallel processing capabilities. Conventional CPU-based systems struggle to ingest and query massive streaming datasets instantaneously, a latency gap that GPU databases fill by parallelizing tasks to reduce processing time significantly. For instance, according to Kinetica in March 2024, their GPU-accelerated engine can now ingest vector embeddings five times faster than the previous market leader. This performance capability is crucial as businesses move beyond experimentation to full-scale operations; according to IBM in 2024, approximately 42% of enterprise-scale organizations actively deployed AI in their business, underscoring the widespread operational reliance on robust, high-speed data infrastructure.

Market Challenge

The substantial cost associated with commercial-grade GPU infrastructure stands as a primary impediment to the expansion of the Global GPU Database Market. This financial barrier encompasses both the exorbitant initial capital required for high-performance hardware and the ongoing operational expenses driven by massive energy consumption. Organizations with limited budgets, particularly small and medium-sized enterprises, effectively find themselves excluded from adopting these advanced database solutions, restricting the market to only the most well-capitalized corporations. Consequently, the rate of market penetration slows significantly as potential adopters delay or abandon implementation due to a prohibitive total cost of ownership.

This resource intensity creates a direct operational bottleneck that further constrains market scalability. The energy demands of the necessary infrastructure place a severe strain on operational budgets and facility capabilities, making sustainability and affordability difficult to achieve. According to the International Energy Agency, in 2024, the electricity consumption of data centers globally amounted to approximately 415 terawatt-hours. Such high power usage necessitates expensive, scalable architectures and specialized engineering, further complicating deployment. These compounding financial and technical pressures limit the addressable market, directly hampering the broader growth and democratization of GPU database technology.

Market Trends

The adoption of Serverless and Elastic Cloud-Native Architectures is reshaping the market as organizations decouple compute from storage to manage variable analytic workloads. This shift allows enterprises to dynamically scale GPU resources for bursty tasks, avoiding idle hardware costs. By leveraging cloud-native principles, these databases process petabyte-scale datasets directly in cloud storage, preventing expensive data movement. This efficiency is quantifiable; according to SQream in September 2024, their cloud-native architecture processed 30 terabytes of data three times faster than a leading Spark-based engine, demonstrating superior handling of massive volumes.

The growth of GPU-Accelerated Geospatial and Location Intelligence is expanding the market into sectors like urban planning where traditional Geographic Information Systems (GIS) face bottlenecks. Standard CPU-based tools often fail to analyze complex spatiotemporal data in real-time, whereas GPU databases overcome this by parallelizing geometric calculations to facilitate instantaneous visualization. This performance leap is critical for operations; according to HEAVY.AI in June 2024, the City of Glendale reported that while legacy GIS tools capped at 400,000 records, the GPU-accelerated platform successfully managed over 20 million records, enabling precise analysis of neighborhood activity.

Key Market Players

• NVIDIA Corporation
• Kinetica DB Inc.
• SQream Technologies
• Brytlyt Ltd.
• Neo4j, Inc.
• Heavy.AI
• Fuzzy Logix
• Anaconda Inc.
• BlazingDB
• OmniSci

Report Scope

In this report, the Global GPU Database Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

GPU Database Market, By Tools

• GPU-Accelerated Databases
• GPU-Accelerated Analytics

GPU Database Market, By Services

• Consulting
• Support
• Maintenance

GPU Database Market, By Application

• Governance
• Risk & Compliance
• Threat Intelligence
• Customer Experience Management

GPU Database Market, By Vertical

• BFSI
• Retail & E-Commerce
• Healthcare
• IT & Telecommunications

GPU Database Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global GPU Database Market.

Available Customizations:

Global GPU Database Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global GPU Database Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Tools (GPU-Accelerated Databases, GPU-Accelerated Analytics)
  • 5.2.2. By Services (Consulting, Support, Maintenance)
  • 5.2.3. By Application (Governance, Risk & Compliance, Threat Intelligence, Customer Experience Management)
  • 5.2.4. By Vertical (BFSI, Retail & E-Commerce, Healthcare, IT & Telecommunications)
  • 5.2.5. By Region
  • 5.2.6. By Company (2025)
• 5.3. Market Map

6. North America GPU Database Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Tools
  • 6.2.2. By Services
  • 6.2.3. By Application
  • 6.2.4. By Vertical
  • 6.2.5. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States GPU Database Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Tools
      • 6.3.1.2.2. By Services
      • 6.3.1.2.3. By Application
      • 6.3.1.2.4. By Vertical
  • 6.3.2. Canada GPU Database Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Tools
      • 6.3.2.2.2. By Services
      • 6.3.2.2.3. By Application
      • 6.3.2.2.4. By Vertical
  • 6.3.3. Mexico GPU Database Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Tools
      • 6.3.3.2.2. By Services
      • 6.3.3.2.3. By Application
      • 6.3.3.2.4. By Vertical

7. Europe GPU Database Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Tools
  • 7.2.2. By Services
  • 7.2.3. By Application
  • 7.2.4. By Vertical
  • 7.2.5. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany GPU Database Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Tools
      • 7.3.1.2.2. By Services
      • 7.3.1.2.3. By Application
      • 7.3.1.2.4. By Vertical
  • 7.3.2. France GPU Database Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Tools
      • 7.3.2.2.2. By Services
      • 7.3.2.2.3. By Application
      • 7.3.2.2.4. By Vertical
  • 7.3.3. United Kingdom GPU Database Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Tools
      • 7.3.3.2.2. By Services
      • 7.3.3.2.3. By Application
      • 7.3.3.2.4. By Vertical
  • 7.3.4. Italy GPU Database Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Tools
      • 7.3.4.2.2. By Services
      • 7.3.4.2.3. By Application
      • 7.3.4.2.4. By Vertical
  • 7.3.5. Spain GPU Database Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Tools
      • 7.3.5.2.2. By Services
      • 7.3.5.2.3. By Application
      • 7.3.5.2.4. By Vertical

8. Asia Pacific GPU Database Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Tools
  • 8.2.2. By Services
  • 8.2.3. By Application
  • 8.2.4. By Vertical
  • 8.2.5. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China GPU Database Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Tools
      • 8.3.1.2.2. By Services
      • 8.3.1.2.3. By Application
      • 8.3.1.2.4. By Vertical
  • 8.3.2. India GPU Database Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Tools
      • 8.3.2.2.2. By Services
      • 8.3.2.2.3. By Application
      • 8.3.2.2.4. By Vertical
  • 8.3.3. Japan GPU Database Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Tools
      • 8.3.3.2.2. By Services
      • 8.3.3.2.3. By Application
      • 8.3.3.2.4. By Vertical
  • 8.3.4. South Korea GPU Database Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Tools
      • 8.3.4.2.2. By Services
      • 8.3.4.2.3. By Application
      • 8.3.4.2.4. By Vertical
  • 8.3.5. Australia GPU Database Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Tools
      • 8.3.5.2.2. By Services
      • 8.3.5.2.3. By Application
      • 8.3.5.2.4. By Vertical

9. Middle East & Africa GPU Database Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Tools
  • 9.2.2. By Services
  • 9.2.3. By Application
  • 9.2.4. By Vertical
  • 9.2.5. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia GPU Database Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Tools
      • 9.3.1.2.2. By Services
      • 9.3.1.2.3. By Application
      • 9.3.1.2.4. By Vertical
  • 9.3.2. UAE GPU Database Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Tools
      • 9.3.2.2.2. By Services
      • 9.3.2.2.3. By Application
      • 9.3.2.2.4. By Vertical
  • 9.3.3. South Africa GPU Database Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Tools
      • 9.3.3.2.2. By Services
      • 9.3.3.2.3. By Application
      • 9.3.3.2.4. By Vertical

10. South America GPU Database Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Tools
  • 10.2.2. By Services
  • 10.2.3. By Application
  • 10.2.4. By Vertical
  • 10.2.5. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil GPU Database Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Tools
      • 10.3.1.2.2. By Services
      • 10.3.1.2.3. By Application
      • 10.3.1.2.4. By Vertical
  • 10.3.2. Colombia GPU Database Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Tools
      • 10.3.2.2.2. By Services
      • 10.3.2.2.3. By Application
      • 10.3.2.2.4. By Vertical
  • 10.3.3. Argentina GPU Database Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Tools
      • 10.3.3.2.2. By Services
      • 10.3.3.2.3. By Application
      • 10.3.3.2.4. By Vertical

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global GPU Database Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. NVIDIA Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Kinetica DB Inc.
• 15.3. SQream Technologies
• 15.4. Brytlyt Ltd.
• 15.5. Neo4j, Inc.
• 15.6. Heavy.AI
• 15.7. Fuzzy Logix
• 15.8. Anaconda Inc.
• 15.9. BlazingDB
• 15.10. OmniSci

16. Strategic Recommendations

17. About Us & Disclaimer