GPU 데이터베이스 시장 규모, 점유율, 동향 분석 보고서 : 구성요소별, 전개별, 용도별, 산업별, 지역별, 부문별 예측(2024-2030년)

GPU Database Market Size & Trends

The global GPU database market size was estimated at USD 460.91 million in 2023 and is projected to grow at a CAGR of 21.7% from 2024 to 2030. Artificial intelligence (AI) and Machine Learning (ML) applications are heavily reliant on high computational power for tasks such as image and speech recognition. GPU databases offer the necessary processing capabilities to handle the vast amounts of data these applications generate. This has led to widespread adoption in healthcare, automotive, and finance industries. For instance, GPUs are crucial in training deep learning models that require intensive computational resources. As AI and ML evolve, the demand for GPU databases is expected to grow exponentially.

The era of big data has made real-time analytics a necessity for many businesses. Traditional databases often struggle with the volume, velocity, and variety of data generated today. With their parallel processing capabilities, GPU databases can handle these challenges effectively. They enable companies to analyze large datasets quickly, facilitating real-time decision-making. This is particularly valuable in sectors like retail, finance, and telecommunications, where timely insights can lead to competitive advantages.

The Internet of Things (IoT) and edge computing generate vast amounts of data that need to be processed in real time. GPU databases are well-suited for these applications due to their high processing power and efficiency. Edge computing, in particular, benefits from GPU databases as they enable data processing closer to the source, reducing latency and bandwidth usage. This is crucial for applications such as smart cities, industrial automation, and connected devices. As IoT and edge computing technologies advance, integrating GPU databases will become more prevalent, driving market growth.

Global GPS Database Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global GPU database market report based on component, application, deployment, vertical and region:

• Component Outlook (Revenue, USD Million, 2018 - 2030￢)
• Tools
• Service
• Application Outlook (Revenue, USD Million, 2018 - 2030)
• Governance, Risk, And Compliance
• Customer Experience Management
• Threat Intelligence
• Fraud Detection And Prevention
• Predictive Maintenance
• Supply Chain Management
• Others(Network management, Campaign Management)
• Deployment Outlook (Revenue, USD Million, 2018 - 2030)
• On premise
• Cloud
• Vertical Outlook (Revenue, USD Million, 2018 - 2030)
• BFSI
• Retail and Ecommerce
• Healthcare and Pharmaceuticals
• Telecommunications and IT
• Transportation and Logistics
• Government and Defense
• Others (Manufacturing, Oil and Gas, media and entertainment, energy and utilities)
• Regional Outlook (Revenue, USD Million, 2018 - 2030)
• North America

U.S.

Canada

Mexico

• Europe

Germany

UK

France

• Asia Pacific

China

Japan

India

South Korea

Australia

• Latin America

Brazil

• Middle East and Africa (MEA)

UAE

KSA

South Africa

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Market Definitions
• 1.3. Research Methodology
  • 1.3.1. Information Procurement
  • 1.3.2. Information or Data Analysis
  • 1.3.3. Market Formulation & Data Visualization
  • 1.3.4. Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. GPU Database Market Variables, Trends, & Scope

• 3.1. Market Introduction/Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Drivers Analysis
  • 3.2.2. Market Restraints Analysis
  • 3.2.3. Industry Opportunities
  • 3.2.4. Industry Challenges
• 3.3. GPU Database Market Analysis Tools
  • 3.3.1. Porter's Analysis
  • 3.3.2. PESTEL Analysis

Chapter 4. GPU Database Market: Component Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. GPU Database Market: Component Movement Analysis, 2023 & 2030 (USD Million)
• 4.3. Tools
  • 4.3.1. Tools Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 4.4. Services
  • 4.4.1. Services Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. GPU Database Market: Application Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. GPU Database Market: Application Movement Analysis, 2023 & 2030 (USD Million)
• 5.3. Governance, Risk, And Compliance
  • 5.3.1. Governance, Risk, And Compliance Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.4. Customer Experience Management
  • 5.4.1. Customer Experience Management Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.5. Threat Intelligence
  • 5.5.1. Threat Intelligence Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.6. Fraud Detection And Prevention
  • 5.6.1. Fraud Detection And Prevention Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.7. Predictive Maintenance
  • 5.7.1. Predictive Maintenance Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.8. Supply Chain Management
  • 5.8.1. Supply Chain Management Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.9. Others(Network management, Campaign Management)
  • 5.9.1. Others (Network management, Campaign Management) Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. GPU Database Market: Deployment Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. GPU Database Market: Deployment Movement Analysis, 2023 & 2030 (USD Million)
• 6.3. On premise
  • 6.3.1. On premise Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.4. Cloud
  • 6.4.1. Cloud Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 7. GPU Database Market: Vertical Estimates & Trend Analysis

• 7.1. Segment Dashboard
• 7.2. GPU Database Market: Vertical Movement Analysis, 2023 & 2030 (USD Million)
• 7.3. BFSI
  • 7.3.1. BFSI Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.4. Retail and Ecommerce
  • 7.4.1. Retail and Ecommerce Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.5. Healthcare and Pharmaceuticals
  • 7.5.1. Healthcare and Pharmaceuticals Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.6. Telecommunications and IT
  • 7.6.1. Telecommunications and IT Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.7. Transportation and Logistics
  • 7.7.1. Transportation and Logistics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.8. Government and Defense
  • 7.8.1. Government and Defense Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.9. Others (Manufacturing, Oil and Gas, media and entertainment, energy and utilities)
  • 7.9.1. Others (Manufacturing, Oil and Gas, media and entertainment, energy and utilities) Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 8. GPU Database Market: Regional Estimates & Trend Analysis

• 8.1. GPU Database Market Share, By Region, 2023 & 2030, USD Million
• 8.2. North America
  • 8.2.1. North America GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.2.2. U.S.
    • 8.2.2.1. U.S. GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.2.3. Canada
    • 8.2.3.1. Canada GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.2.4. Mexico
    • 8.2.4.1. Mexico GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.3. Europe
  • 8.3.1. Europe GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.3.2. Germany
    • 8.3.2.1. Germany GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.3.3. UK
    • 8.3.3.1. UK GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.3.4. France
    • 8.3.4.1. France GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.4. Asia Pacific
  • 8.4.1. Asia Pacific GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.2. China
    • 8.4.2.1. China GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.3. Japan
    • 8.4.3.1. Japan GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.4. India
    • 8.4.4.1. India GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.5. Australia
    • 8.4.5.1. Australia GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.6. South Korea
    • 8.4.6.1. South Korea GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.5. Latin America
  • 8.5.1. Latin America GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.5.2. Brazil
    • 8.5.2.1. Brazil GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.6. Middle East and Africa
  • 8.6.1. Middle East and Africa GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.2. UAE
    • 8.6.2.1. UAE GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.3. KSA
    • 8.6.3.1. KSA GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.4. South Africa
    • 8.6.4.1. South Africa GPU Database Market Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 9. Competitive Landscape

• 9.1. Recent Developments & Impact Analysis by Key Market Participants
• 9.2. Company Categorization
• 9.3. Company Market Positioning
• 9.4. Company Market Share Analysis
• 9.5. Company Heat Map Analysis
• 9.6. Strategy Mapping
  • 9.6.1. Expansion
  • 9.6.2. Mergers & Acquisition
  • 9.6.3. Partnerships & Collaborations
  • 9.6.4. New Product Launches
  • 9.6.5. Research And Development
• 9.7. Company Profiles
  • 9.7.1. Anaconda Inc.
    • 9.7.1.1. Participant's Overview
    • 9.7.1.2. Financial Performance
    • 9.7.1.3. Product Benchmarking
    • 9.7.1.4. Recent Developments
  • 9.7.2. Brytlyt
    • 9.7.2.1. Participant's Overview
    • 9.7.2.2. Financial Performance
    • 9.7.2.3. Product Benchmarking
    • 9.7.2.4. Recent Developments
  • 9.7.3. Fuzzy Logix
    • 9.7.3.1. Participant's Overview
    • 9.7.3.2. Financial Performance
    • 9.7.3.3. Product Benchmarking
    • 9.7.3.4. Recent Developments
  • 9.7.4. Graphistry.
    • 9.7.4.1. Participant's Overview
    • 9.7.4.2. Financial Performance
    • 9.7.4.3. Product Benchmarking
    • 9.7.4.4. Recent Developments
  • 9.7.5. HeteroDB, Inc
    • 9.7.5.1. Participant's Overview
    • 9.7.5.2. Financial Performance
    • 9.7.5.3. Product Benchmarking
    • 9.7.5.4. Recent Developments
  • 9.7.6. Jedox
    • 9.7.6.1. Participant's Overview
    • 9.7.6.2. Financial Performance
    • 9.7.6.3. Product Benchmarking
    • 9.7.6.4. Recent Developments
  • 9.7.7. Kinetica DB Inc.
    • 9.7.7.1. Participant's Overview
    • 9.7.7.2. Financial Performance
    • 9.7.7.3. Product Benchmarking
    • 9.7.7.4. Recent Developments
  • 9.7.8. Neo4j, Inc.
    • 9.7.8.1. Participant's Overview
    • 9.7.8.2. Financial Performance
    • 9.7.8.3. Product Benchmarking
    • 9.7.8.4. Recent Developments
  • 9.7.9. NVIDIA Corporation
    • 9.7.9.1. Participant's Overview
    • 9.7.9.2. Financial Performance
    • 9.7.9.3. Product Benchmarking
    • 9.7.9.4. Recent Developments
  • 9.7.10. OMNISCI, INC.
    • 9.7.10.1. Participant's Overview
    • 9.7.10.2. Financial Performance
    • 9.7.10.3. Product Benchmarking
    • 9.7.10.4. Recent Developments
  • 9.7.11. SQream
    • 9.7.11.1. Participant's Overview
    • 9.7.11.2. Financial Performance
    • 9.7.11.3. Product Benchmarking
    • 9.7.11.4. Recent Developments
  • 9.7.12. Zilliz
    • 9.7.12.1. Participant's Overview
    • 9.7.12.2. Financial Performance
    • 9.7.12.3. Product Benchmarking
    • 9.7.12.4. Recent Developments