封面
市场调查报告书
商品编码
1670604

全球 GPU 资料库市场规模研究(按应用、按工具、按部署模型、按垂直和区域划分)预测 2022-2032

Global GPU Database Market Size Study, by Application, by Tools, by Deployment Model, by Vertical, and Regional Forecasts 2022-2032

出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023 年全球 GPU 资料库市场价值约为 4.5 亿美元,预计在 2024-2032 年预测期内的复合年增长率为 20.7%。由于即时资料分析和人工智慧驱动应用程式的日益普及,对高效能运算的需求不断增长,极大地促进了 GPU 驱动资料库的采用。这些资料库以其无与伦比的处理速度和大规模平行运算能力而闻名,正在彻底改变需要快速资料查询、复杂模拟和即时洞察的行业。随着各行业产生的资料量呈指数级增长,各组织越来越多地转向 GPU 加速资料库来简化工作流程、增强决策过程并大幅降低资料管理基础设施的成本。

人工智慧、物联网和巨量资料分析的日益普及,以及对即时诈欺侦测、风险评估和网路安全威胁缓解的日益依赖,在推动市场扩张方面发挥了关键作用。企业现在正在整合基于 GPU 的解决方案,以在几毫秒内处理 PB 级资料,从而为他们在数据驱动决策方面带来竞争优势。此外,利用基于云端的 GPU 资料库的企业正在体验到无缝的可扩展性、更快的资料提取率和更低的延迟,这使得它们对于关键任务应用程式来说不可或缺。然而,儘管市场前景乐观,但高昂的初始成本、复杂的整合挑战以及资料安全问题可能会对广泛采用构成重大障碍。

从地区来看,北美占据 GPU 资料库市场主导地位,由于主要云端服务供应商、基于人工智慧的新创公司以及投资加速运算基础设施的科技巨头的存在,占据了相当大的份额。美国处于领先地位,拥有完善的人工智慧驱动资料中心生态系统、数位转型计画以及政府在高效能运算领域的大量资金。同时,欧洲紧随其后,德国、英国和法国在人工智慧分析、云端运算和法规合规解决方案方面处于领先地位。另一方面,由于工业化的快速发展、智慧城市的投资不断增加以及金融科技和电子商务企业的激增,亚太地区有望实现最快的成长。中国、印度和日本等国正积极投资 GPU 加速巨量资料基础设施,进一步推动市场发展。

随着各个垂直领域对低延迟、高吞吐量分析解决方案的需求不断增加,市场参与者正在大力投资尖端创新,包括混合云端部署、AI 整合 GPU 资料库和自主资料库管理系统。领先的公司正专注于策略合作、收购和研发投资以获得竞争优势。随着政府机构和企业都优先考虑即时资料智能,GPU 资料库市场将重新定义高效能运算和分析驱动产业的未来。

本报告涵盖的主要市场参与者

  • NVIDIA 公司
  • 亚马逊网路服务(AWS)
  • 谷歌有限责任公司
  • IBM 公司
  • 甲骨文公司
  • 微软公司
  • Kinetica DB, Inc.
  • BlazingDB 公司
  • Brytlyt 有限公司
  • Omnisci 公司
  • 齐利兹
  • H2O.ai
  • SQream 技术
  • 富士通有限公司
  • Graphistry 公司

市场区隔和子区隔市场的详细解释如下

目录

第 1 章:全球 GPU 资料库市场执行摘要

  • 全球 GPU 资料库市场规模及预测(2022-2032 年)
  • 区域概况
  • 节段概要
    • 按应用
    • 按工具
    • 按部署模型
    • 按垂直
  • 主要趋势
  • 经济衰退的影响
  • 分析师建议与结论

第 2 章:全球 GPU 资料库市场定义与研究假设

  • 研究目标
  • 市场定义
  • 研究假设
    • 包容与排斥
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性(消费者的观点)
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者认知与接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章:全球 GPU 资料库市场动态

  • 市场驱动因素
    • 高效能运算需求激增
    • 人工智慧驱动的应用程式激增
    • 数据量呈指数级增长
  • 市场挑战
    • 初始成本高且整合复杂
    • 资料安全和隐私问题
  • 市场机会
    • 基于云端的解决方案的扩展
    • 自治资料库管理的出现
    • 策略合作与研发投资

第 4 章:全球 GPU 资料库市场产业分析

  • 波特五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手
    • 波特五力模型的未来方法
    • 波特五力影响分析
  • PESTEL 分析
    • 政治的
    • 经济
    • 社会的
    • 科技
    • 环境的
    • 合法的
  • 最佳投资机会
  • 最佳获胜策略
  • 颠覆性趋势
  • 产业专家观点
  • 分析师建议与结论

第 5 章:全球 GPU 资料库市场规模与预测:按应用划分 - 2022 年至 2032 年

  • 细分仪表板
  • 全球 GPU 资料库市场:应用收入趋势分析,2022 年和 2032 年(百万美元/十亿美元)
    • 治理、风险与合规 (GRC)
    • 威胁情报
    • 客户体验管理 (CEM)
    • 诈欺检测与预防
    • 供应链管理 (SCM)

第 6 章:全球 GPU 资料库市场规模与预测:按工具分类 - 2022 年至 2032 年

  • 细分仪表板
  • 全球 GPU 资料库市场:工具收入趋势分析,2022 年和 2032 年(百万美元/十亿美元)
    • GPU 加速资料库
    • GPU 加速分析

第 7 章:全球 GPU 资料库市场规模与预测:按部署模型 - 2022-2032 年

  • 细分仪表板
  • 全球 GPU 资料库市场:部署模型收入趋势分析,2022 年和 2032 年(百万美元/十亿美元)
    • 本地
    • 基于云端

第 8 章:全球 GPU 资料库市场规模与预测:按垂直产业 - 2022 年至 2032 年

  • 细分仪表板
  • 全球 GPU 资料库市场:垂直收入趋势分析,2022 年和 2032 年(百万美元/十亿美元)
    • 金融保险业协会
    • 医疗保健与生命科学
    • 资讯科技和电信
    • 政府与国防
    • 零售与电子商务
    • 媒体与娱乐
    • 能源与公用事业
    • 其他的

第 9 章:全球 GPU 资料库市场规模与预测:按地区 - 2022 年至 2032 年

  • 北美市场
    • 美国市场
    • 加拿大市场
  • 欧洲市场
    • 英国市场
    • 德国市场
    • 法国市场
    • 西班牙市场
    • 义大利市场
    • 欧洲其他市场
  • 亚太市场
    • 中国市场
    • 印度市场
    • 日本市场
    • 澳洲市场
    • 韩国市场
    • 亚太其他市场
  • 拉丁美洲市场
    • 巴西市场
    • 墨西哥市场
    • 拉丁美洲其他市场
  • 中东和非洲市场
    • 沙乌地阿拉伯市场
    • 南非市场
    • 中东其他地区及非洲市场

第 10 章:竞争情报

  • 重点公司 SWOT 分析
    • NVIDIA Corporation
    • Amazon Web Services (AWS)
    • Google LLC
  • 顶级市场策略
  • 公司简介
    • NVIDIA Corporation
      • 关键讯息
      • 概述
      • 财务(取决于数据可用性)
      • 产品概述
      • 市场策略
    • IBM Corporation
    • Oracle Corporation
    • Microsoft Corporation
    • Kinetica DB, Inc.
    • BlazingDB, Inc.
    • Brytlyt Ltd.
    • Omnisci Inc.
    • Zilliz
    • H2O.ai
    • SQream Technologies
    • Fujitsu Ltd.
    • Graphistry, Inc.

第 11 章:研究过程

  • 研究进程
    • 资料探勘
    • 分析
    • 市场评估
    • 验证
    • 出版
  • 研究属性
简介目录

The Global GPU Database Market, valued at approximately USD 0.45 billion in 2023, is expected to grow at a CAGR of 20.7% over the forecast period 2024-2032. The escalating demand for high-performance computing, fueled by real-time data analytics and the increasing penetration of AI-driven applications, has significantly bolstered the adoption of GPU-powered databases. These databases, known for their unparalleled processing speeds and massive parallel computing capabilities, are revolutionizing industries that require rapid data querying, complex simulations, and real-time insights. With the exponential surge in data volume generated across various sectors, organizations are increasingly turning to GPU-accelerated databases to streamline their workflows, enhance decision-making processes, and achieve substantial cost reductions in data management infrastructure.

The rising adoption of AI, IoT, and big data analytics, along with the growing reliance on real-time fraud detection, risk assessment, and cybersecurity threat mitigation, has played a pivotal role in driving market expansion. Businesses are now integrating GPU-based solutions to process petabyte-scale data in milliseconds, giving them a competitive edge in data-driven decision-making. Moreover, enterprises leveraging cloud-based GPU databases are experiencing seamless scalability, faster data ingestion rates, and lower latency, making them indispensable for mission-critical applications. However, despite the market's optimistic outlook, high initial costs, complex integration challenges, and data security concerns could pose significant hurdles to widespread adoption.

Regionally, North America dominates the GPU database market, accounting for a substantial share due to the presence of major cloud service providers, AI-based startups, and tech giants investing in accelerated computing infrastructure. The United States leads the way, boasting a well-established ecosystem of AI-driven data centers, digital transformation initiatives, and extensive government funding in high-performance computing. Meanwhile, Europe follows closely, with Germany, the UK, and France spearheading advancements in AI-driven analytics, cloud computing, and regulatory compliance solutions. On the other hand, the Asia-Pacific region is poised to witness the fastest growth, owing to rapid industrialization, increasing investments in smart cities, and the proliferation of fintech and e-commerce enterprises. Countries like China, India, and Japan are aggressively investing in GPU-accelerated big data infrastructure, further propelling the market.

As the demand for low-latency, high-throughput analytics solutions escalates across various verticals, market players are heavily investing in cutting-edge innovations, including hybrid cloud deployments, AI-integrated GPU databases, and autonomous database management systems. Leading companies are focusing on strategic collaborations, acquisitions, and R&D investments to gain a competitive edge. With government bodies and enterprises alike prioritizing real-time data intelligence, the GPU database market is set to redefine the future of high-performance computing and analytics-driven industries.

Major Market Players Included in This Report

  • NVIDIA Corporation
  • Amazon Web Services (AWS)
  • Google LLC
  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • Kinetica DB, Inc.
  • BlazingDB, Inc.
  • Brytlyt Ltd.
  • Omnisci Inc.
  • Zilliz
  • H2O.ai
  • SQream Technologies
  • Fujitsu Ltd.
  • Graphistry, Inc.

The Detailed Segments and Sub-Segments of the Market are Explained Below

By Application

  • Governance, Risk, and Compliance (GRC)
  • Threat Intelligence
  • Customer Experience Management (CEM)
  • Fraud Detection and Prevention
  • Supply Chain Management (SCM)

By Tools

  • GPU-accelerated Databases
  • GPU-accelerated Analytics

By Deployment Model

  • On-Premises
  • Cloud-Based

By Vertical

  • BFSI
  • Healthcare & Life Sciences
  • IT & Telecom
  • Government & Defense
  • Retail & E-Commerce
  • Media & Entertainment
  • Energy & Utilities
  • Others

By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa
  • Years Considered for the Study
  • Historical Year - 2022, 2023
  • Base Year - 2023
  • Forecast Period - 2024 to 2032
  • Key Takeaways
  • Market Estimates & Forecast for 10 years from 2022 to 2032
  • Annualized revenues and regional-level analysis for each market segment
  • Detailed analysis of the geographical landscape with country-level analysis of major regions
  • Competitive landscape with information on major players in the market
  • Analysis of key business strategies and recommendations on future market approach
  • Evaluation of the competitive structure of the market
  • Comprehensive demand-side and supply-side analysis of the market

Table of Contents

Chapter 1. Global GPU Database Market Executive Summary

  • 1.1. Global GPU Database Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Application
    • 1.3.2. By Tools
    • 1.3.3. By Deployment Model
    • 1.3.4. By Vertical
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global GPU Database Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory Frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global GPU Database Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Surge in High-Performance Computing Demand
    • 3.1.2. Proliferation of AI-driven Applications
    • 3.1.3. Exponential Data Volume Growth
  • 3.2. Market Challenges
    • 3.2.1. High Initial Costs & Complex Integration
    • 3.2.2. Data Security and Privacy Concerns
  • 3.3. Market Opportunities
    • 3.3.1. Expansion in Cloud-Based Solutions
    • 3.3.2. Emergence of Autonomous Database Management
    • 3.3.3. Strategic Collaborations & R&D Investments

Chapter 4. Global GPU Database Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunity
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global GPU Database Market Size & Forecasts by Application 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global GPU Database Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 5.2.1. Governance, Risk, and Compliance (GRC)
    • 5.2.2. Threat Intelligence
    • 5.2.3. Customer Experience Management (CEM)
    • 5.2.4. Fraud Detection and Prevention
    • 5.2.5. Supply Chain Management (SCM)

Chapter 6. Global GPU Database Market Size & Forecasts by Tools 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global GPU Database Market: Tools Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 6.2.1. GPU-accelerated Databases
    • 6.2.2. GPU-accelerated Analytics

Chapter 7. Global GPU Database Market Size & Forecasts by Deployment Model 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global GPU Database Market: Deployment Model Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 7.2.1. On-Premises
    • 7.2.2. Cloud-Based

Chapter 8. Global GPU Database Market Size & Forecasts by Vertical 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global GPU Database Market: Vertical Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 8.2.1. BFSI
    • 8.2.2. Healthcare & Life Sciences
    • 8.2.3. IT & Telecom
    • 8.2.4. Government & Defense
    • 8.2.5. Retail & E-Commerce
    • 8.2.6. Media & Entertainment
    • 8.2.7. Energy & Utilities
    • 8.2.8. Others

Chapter 9. Global GPU Database Market Size & Forecasts by Region 2022-2032

  • 9.1. North America Market
    • 9.1.1. U.S. Market
      • 9.1.1.1. Application Breakdown & Forecasts, 2022-2032
      • 9.1.1.2. Tools Breakdown & Forecasts, 2022-2032
    • 9.1.2. Canada Market
  • 9.2. Europe Market
    • 9.2.1. U.K. Market
    • 9.2.2. Germany Market
    • 9.2.3. France Market
    • 9.2.4. Spain Market
    • 9.2.5. Italy Market
    • 9.2.6. Rest of Europe Market
  • 9.3. Asia-Pacific Market
    • 9.3.1. China Market
    • 9.3.2. India Market
    • 9.3.3. Japan Market
    • 9.3.4. Australia Market
    • 9.3.5. South Korea Market
    • 9.3.6. Rest of Asia-Pacific Market
  • 9.4. Latin America Market
    • 9.4.1. Brazil Market
    • 9.4.2. Mexico Market
    • 9.4.3. Rest of Latin America Market
  • 9.5. Middle East & Africa Market
    • 9.5.1. Saudi Arabia Market
    • 9.5.2. South Africa Market
    • 9.5.3. Rest of Middle East & Africa Market

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
    • 10.1.1. NVIDIA Corporation
    • 10.1.2. Amazon Web Services (AWS)
    • 10.1.3. Google LLC
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles
    • 10.3.1. NVIDIA Corporation
      • 10.3.1.1. Key Information
      • 10.3.1.2. Overview
      • 10.3.1.3. Financial (Subject to Data Availability)
      • 10.3.1.4. Product Summary
      • 10.3.1.5. Market Strategies
    • 10.3.2. IBM Corporation
    • 10.3.3. Oracle Corporation
    • 10.3.4. Microsoft Corporation
    • 10.3.5. Kinetica DB, Inc.
    • 10.3.6. BlazingDB, Inc.
    • 10.3.7. Brytlyt Ltd.
    • 10.3.8. Omnisci Inc.
    • 10.3.9. Zilliz
    • 10.3.10. H2O.ai
    • 10.3.11. SQream Technologies
    • 10.3.12. Fujitsu Ltd.
    • 10.3.13. Graphistry, Inc.

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes