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Market Research Report

GPU Database Market by Application (GRC, Threat Intelligence, CEM, Fraud Detection and Prevention, SCM), Tools (GPU-accelerated Databases and GPU-accelerated Analytics), Deployment Model, Vertical, and Region - Global Forecast to 2023

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GPU Database Market by Application (GRC, Threat Intelligence, CEM, Fraud Detection and Prevention, SCM), Tools (GPU-accelerated Databases and GPU-accelerated Analytics), Deployment Model, Vertical, and Region - Global Forecast to 2023
Published: December 5, 2018 Content info: 130 Pages
Description

"Intensifying business competition in data-driven industries to drive the GPU database market"

MarketsandMarkets forecasts the global GPU database market size to grow from USD 178 million in 2018 to USD 455 million by 2023, at a Compound Annual Growth Rate (CAGR) of 20.7% during 2018-2023. Key driving factors for the market include massive data generation across BFSI, retail, and media and entertainment industry verticals. However, the lack of understanding of the advantages of GPU database would limit the growth of the market.

Real-time identification and mitigation of fraudulent deeds to accelerate the growth of fraud detection and prevention application

The GPU-accelerated database technology is still in its nascent stage and is being deployed in a handful of mission-critical business applications dealing with large and complex data sets. GPU-accelerated solutions are suitable for such real-time and data-intensive workloads, enabling IT admins and security professionals to view and monitor data flow and user activities across an enterprise and adhere compliance to internal, as well as external security regulations, including those requiring personal privacy protections.

On-premises GPU database tools to hold a larger market size

The on-premises deployment of GPU database solution empowers organizations by giving them the ownership of their data, manage risks, and adhere to external compliance requirements. The growth of the on-premises deployment model is mainly attributed to the flexibility to customize solutions as per an organization's dynamic requirements, and data security and privacy.

Asia Pacific (APAC) to record the highest CAGR in the GPU database market during the forecast period

Major APAC countries, such as Japan, China, and India, are leading the adoption of GPU database. The industry players are expanding their presence into the region by forming partnerships with technology players or distributors to develop their sales channels. China, a major economy, has undergone a tremendous transformation in the areas of manufacturing, telecommunications, and IT. The country has set a benchmark for providing affordable solutions, which are exported to various parts of the world. Being the most affordable market with a reliable workforce, the GPU database vendors have shown their interest in establishing their presence in China.

In-depth interviews were conducted with the Chief Executive Officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the GPU database market.

The following list provides the breakup of primary respondents' profiles:

  • By Company - Tier 1-22%, Tier 2-30%, and Tier 3-48%
  • By Designation - C-Level-25%, Director Level-30%, and Others-45%
  • By Region - North America-12%, Europe-42%, APAC-26%, and RoW-20%

Major vendors offering GPU database globally include: Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US), Brytlyt (United Kingdom), Blazegraph (US), BlazingDB (US), Zilliz (US), Jedox (Germany), HeteroDB (Japan), H2O.ai (US), FASTDATA.io (US), Fuzzy Logix (US), Anaconda (US), and Graphistry (US). The study includes in-depth competitive analysis of these key players in the GPU database market with their company profiles, recent developments, and key market strategies.

Research Coverage:

The GPU database market revenue is primarily classified into revenues from tools and services. Tools revenue is associated with software and platform offerings, while the services' revenue is associated with support and maintenance, training and education in addition to the consulting services. Other segmentations are applications, components, deployment modes, verticals, and regions.

Key benefits of the report:

The report would help the market leaders/new entrants in the GPU database market with the information on the closest approximations of the revenue numbers for the overall market and the subsegments. This report would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with the information on the key market drivers, restraints, challenges, and opportunities.

Table of Contents
Product Code: TC 6786

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. MARKET SCOPE
    • 1.3.1. MARKET SEGMENTATION
  • 1.4. YEARS CONSIDERED FOR THE STUDY
  • 1.5. CURRENCY
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
      • 2.1.1.1. Key data from secondary sources
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Key industry insights
      • 2.1.2.2. Breakup of primary profiles
  • 2.2. MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3. MARKET SIZE ESTIMATION
    • 2.3.1. BOTTOM-UP APPROACH
    • 2.3.2. TOP-DOWN APPROACH
  • 2.4. ASSUMPTIONS FOR THE STUDY
  • 2.5. LIMITATIONS OF THE STUDY

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE MARKET OPPORTUNITIES IN THE GPU DATABASE MARKET
  • 4.2. GPU DATABASE MARKET, BY APPLICATION (2018-2023)
  • 4.3. GPU DATABASE MARKET, BY DEPLOYMENT MODEL
  • 4.4. GPU DATABASE MARKET: MARKET SHARE ACROSS REGIONS

5. MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1. INTRODUCTION
  • 5.2. MARKET DYNAMICS
    • 5.2.1. DRIVERS
      • 5.2.1.1. Massive data generation across BFSI, retail, and media and entertainment industries to drive the adoption of GPU-accelerated tools
      • 5.2.1.2. Availability of open source solutions and their growing applications areas
      • 5.2.1.3. Regulations creating demand for solutions that provide performance-at-scale
    • 5.2.2. RESTRAINTS
      • 5.2.2.1. Unavailability of sufficient technical expertise and domain knowledge
    • 5.2.3. OPPORTUNITIES
      • 5.2.3.1. Growing demand for high-performance computing in various data-intensive industries
      • 5.2.3.2. Increasing inclination of enterprises toward AI and machine learning facilitated workloads
    • 5.2.4. CHALLENGES
      • 5.2.4.1. Lack of adequate data security measures
      • 5.2.4.2. Limited capabilities of available GPU databases to perform crucial operations in analytics use cases
  • 5.3. INDUSTRY TRENDS
    • 5.3.1. EVOLUTION
    • 5.3.2. GPU DATABASE WORKFLOW
    • 5.3.3. GPU DATABASE MARKET: USE CASES
      • 5.3.3.1. USE CASE 1: Increased speed of operation with cost reduction
      • 5.3.3.2. USE CASE 2: Improving network and maintaining customer loyalty with GPU-based Smart Benchmarking Dashboard
      • 5.3.3.3. USE CASE 3: Enhancing interaction among GPU clusters through traditional query language
    • 5.3.4. KEY EMERGING TRENDS IN THE GPU DATABASE MARKET
      • 5.3.4.1. GPU-accelerated databases to bring a radical change to IoT and real-time data analytics applications
      • 5.3.4.2. GPU-accelerated computing would continue to enhance machine learning and deep learning use-cases
      • 5.3.4.3. Applications incorporating location-based intelligence would benefit from GPU-accelerated databases
    • 5.3.5. GPU DATABASE MARKET: FUTURE OUTLOOK

6. GPU DATABASE MARKET, BY COMPONENT

  • 6.1. INTRODUCTION
  • 6.2. TOOLS
    • 6.2.1. GPU-ACCELERATED DATABASES
      • 6.2.1.1. High-performance computing capabilities of GPU-accelerated databases to increase their deployment across various business applications
    • 6.2.2. GPU-ACCELERATED ANALYTICS
      • 6.2.2.1. Need for solutions handling extreme analytics workloads without cost-burdening organizations to create demand for GPU-accelerated analytics solutions
  • 6.3. SERVICES
    • 6.3.1. CONSULTING
      • 6.3.1.1. Need for a strategic outlook exploring new avenues for improving business performance to drive the growth of consulting services
    • 6.3.2. SUPPORT AND MAINTENANCE
      • 6.3.2.1. Complexity of operations and the need for regular assistance during the software lifecycle to foster the growth of support and maintenance

7. GPU DATABASE MARKET, BY APPLICATION

  • 7.1. INTRODUCTION
  • 7.2. GOVERNANCE, RISK, AND COMPLIANCE
    • 7.2.1. DEMAND FOR HIGH-PERFORMANCE COMPUTING TO EFFECTIVELY DEAL WITH INCREASED REGULATORY AND DATA SECURITY REQUIREMENTS TO DRIVE THE GROWTH OF THE GOVERNANCE, RISK, AND COMPLIANCE SEGMENT
  • 7.3. THREAT INTELLIGENCE
    • 7.3.1. NEED TO PREDICT CYBER THREATS IN ADVANCE TO DRIVE THE GROWTH OF THE THREAT INTELLIGENCE SEGMENT
  • 7.4. CUSTOMER EXPERIENCE MANAGEMENT
    • 7.4.1. NEED FOR REAL-TIME INSIGHTS INTO CUSTOMER DATA AND SERVICE CHAIN PERFORMANCE TO DRIVE THE GROWTH OF THE CEM SEGMENT
  • 7.5. FRAUD DETECTION AND PREVENTION
    • 7.5.1. NEED FOR A ROBUST INFRASTRUCTURE WITH HIGH-PERFORMANCE COMPUTING AND SCALABILITY REQUIRED TO IDENTIFY FRAUD IN REAL TIME TO DRIVE THE GROWTH OF THE FRAUD DETECTION AND PREVENTION SEGMENT
  • 7.6. PREDICTIVE MAINTENANCE
    • 7.6.1. NEED TO VIEW AND MONITOR REAL-TIME PERFORMANCE AND MAINTAIN AVAILABILITY OF CRITICAL ASSETS TO DRIVE THE GROWTH OF THE PREDICTIVE MAINTENANCE SEGMENT
  • 7.7. SUPPLY CHAIN MANAGEMENT
    • 7.7.1. NEED TO EFFICIENTLY MANAGE THE SUPPLY CHAIN AND CATER EFFECTIVELY TO CONSUMERS DYNAMIC REQUIREMENTS TO DRIVE THE GROWTH OF THE SCM SEGMENT
  • 7.8. OTHERS

8. GPU DATABASE MARKET, BY DEPLOYMENT MODEL

  • 8.1. INTRODUCTION
  • 8.2. ON-PREMISES
    • 8.2.1. DATA SECURITY AND PRIVACY REQUIREMENTS TO REMAIN FACTORS DOMINATING CLOUD-BASED GPU DATABASE SOLUTIONS
  • 8.3. CLOUD
    • 8.3.1. 24×7KKKKK ACCESS TO WORLDWIDE DATA TO DRIVE THE GROWTH OF CLOUD-BASED GPU DATABASE TOOLS AND SERVICES

9. GPU DATABASE MARKET, BY VERTICAL

  • 9.1. INTRODUCTION
  • 9.2. BFSI
    • 9.2.1. PARALLEL COMPUTING WITH GPU-ACCELERATED TOOLENABLE ORGANIZATIONS TO MONITOR FOR ANOMALIES IN DIVERSE STREAMS OF TRANSACTIONS AND LOG DATA
  • 9.3. RETAIL AND ECOMMERCE
    • 9.3.1. UNDERSTANDING CUSTOMER BEHAVIOR IN REAL TIME TO IMPROVE DECISION-MAKING
  • 9.4. HEALTHCARE AND PHARMACEUTICALS
    • 9.4.1. EMERGING APPLICATIONS, SUCH AS DRUG DISCOVERY, PATIENT CARE, AND INSURANCE FRAUD DETECTION, TO DRIVE THE ADOPTION OF GPU-ACCELERATED TOOLS
  • 9.5. TELECOMMUNICATIONS AND IT
    • 9.5.1. REDUCED CHURN RATE, IMPROVED SERVICES, AND ENHANCED CUSTOMER LOYALTY WITH GPU-ACCELERATED TOOLS TO DRIVE THE MARKET GROWTH
  • 9.6. TRANSPORTATION AND LOGISTICS
    • 9.6.1. NEED TO IMPROVE EFFICIENCY AND CUSTOMER EXPERIENCE TO DRIVE THE ADOPTION OF GPU DATABASE IN THE TRANSPORTATION AND LOGISTICS VERTICAL
  • 9.7. GOVERNMENT AND DEFENSE
    • 9.7.1. GPU-ACCELERATED DATABASE TO ANALYZE ANY DATA TO ASSESS TERRORISTS AND OTHER NATIONAL SECURITY THREATS IN REAL TIME
  • 9.8. OTHERS

10. GPU DATABASE MARKET, BY REGION

  • 10.1. INTRODUCTION
  • 10.2. NORTH AMERICA
    • 10.2.1. GROWING ADOPTION OF GPU-ACCELERATED TOOLS IN THE US AND CANADA ACROSS RETAIL AND ECOMMERCE, BFSI, AND GOVERNMENT AND DEFENSE VERTICALS TO FUEL THE MARKET GROWTH
  • 10.3. EUROPE
    • 10.3.1. ENORMOUS DATA GENERATION AND THE NEED FOR INTERACTIVE ANALYTICS TO DRIVE THE MARKET GROWTH IN THE REGION
  • 10.4. ASIA PACIFIC
    • 10.4.1. GROWING TECHNOLOGICAL ADOPTION, AS WELL AS INCREASING PRESENCE OF INDUSTRY PLAYERS IN THE REGION, TO FUEL THE DEMAND FOR GPU-ACCELERATED TOOLS IN THE REGION
  • 10.5. LATIN AMERICA
    • 10.5.1. DIGITALIZATION AND FAVOURABLE GOVERNMENT POLICIES TO DRIVE THE GROWTH OF THE MARKET IN LATIN AMERICA
  • 10.6. MIDDLE EAST AND AFRICA
    • 10.6.1. MIDDLE EAST AND AFRICA COUNTRIES, INCLUDING UAE, QATAR, KSA, AND SOUTH AFRICA, TO WITNESS SIGNIFICANT MARKET GROWTH

11. COMPETITIVE LANDSCAPE

  • 11.1. OVERVIEW
  • 11.2. COMPETITIVE SCENARIO
    • 11.2.1. NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS
    • 11.2.2. PARTNERSHIPS AND COLLABORATIONS
    • 11.2.3. BUSINESS EXPANSIONS
  • 11.3. GPU DATABASE MARKET: PROMINENT PLAYERS

12. COMPANY PROFILES (Business Overview, Tools and Services Offered, Recent Developments, SWOT Analysis, and MNM View)*

  • 12.1. KINETICA
  • 12.2. OMNISCI
  • 12.3. SQREAM
  • 12.4. NEO4J
  • 12.5. NVIDIA
  • 12.6. BRYTLYT
  • 12.7. JEDOX
  • 12.8. BLAZEGRAPH
  • 12.9. BLAZINGDB
  • 12.10. ZILLIZ
  • 12.11. HETERODB
  • 12.12. H2O.AI
  • 12.13. FASTDATA.IO
  • 12.14. FUZZY LOGIX
  • 12.15. GRAPHISTRY
  • 12.16. ANACONDA

*Details on Business Overview, Tools and Services Offered, Recent Developments, SWOT Analysis, and MNM View might not be captured in case of unlisted companies.

13. APPENDIX

  • 13.1. KEY INSIGHTS OF INDUSTRY EXPERTS
  • 13.2. DISCUSSION GUIDE
  • 13.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.4. AVAILABLE CUSTOMIZATION
  • 13.5. RELATED REPORTS
  • 13.6. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: GPU DATABASE MARKET SIZE AND GROWTH RATE, 2016-2023 (USD MILLION, Y-O-Y %)
  • TABLE 2: RECENT VENTURE FUNDING IN GPU DATABASE MARKET, 2017-2018
  • TABLE 3: GPU DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 4: TOOLS: GPU DATABASE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 5: TOOLS: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 6: GPU-ACCELERATED DATABASES MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 7: GPU-ACCELERATED ANALYTICS MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 8: SERVICES: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 9: GPU DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 10: GOVERNANCE, RISK, AND COMPLIANCE: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 11: THREAT INTELLIGENCE: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 12: CUSTOMER EXPERIENCE MANAGEMENT: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 13: FRAUD DETECTION AND PREVENTION: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 14: PREDICTIVE MAINTENANCE: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 15: SUPPLY CHAIN MANAGEMENT: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 16: OTHERS: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 17: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 18: ON-PREMISES: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 19: CLOUD: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 20: GPU DATABASE MARKET SIZE, BY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 21: BFSI: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 22: RETAIL AND ECOMMERCE: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 23: HEALTHCARE AND PHARMACEUTICALS: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 24: TELECOMMUNICATIONS AND IT: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 25: TRANSPORTATION AND LOGISTICS: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 26: GOVERNMENT AND DEFENSE: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 27: OTHERS: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 28: GPU DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 29: NORTH AMERICA: GPU DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 30: NORTH AMERICA: GPU DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 31: NORTH AMERICA: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 32: NORTH AMERICA: GPU DATABASE MARKET SIZE, BY TOOL, 2016-2023 (USD MILLION)
  • TABLE 33: NORTH AMERICA: GPU DATABASE MARKET SIZE, BY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 34: EUROPE: GPU DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 35: EUROPE: GPU DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 36: EUROPE: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 37: EUROPE: GPU DATABASE MARKET SIZE, BY TOOL, 2016-2023 (USD MILLION)
  • TABLE 38: EUROPE: GPU DATABASE MARKET SIZE, BY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 39: ASIA PACIFIC: GPU DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 40: ASIA PACIFIC: GPU DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 41: ASIA PACIFIC: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 42: APAC: GPU DATABASE MARKET SIZE, BY TOOL, 2016-2023 (USD MILLION)
  • TABLE 43: APAC: GPU DATABASE MARKET SIZE, BY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 44: LATIN AMERICA: GPU DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 45: LATIN AMERICA: GPU DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 46: LATIN AMERICA: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 47: LATIN AMERICA: GPU DATABASE MARKET SIZE, BY TOOL, 2016-2023 (USD MILLION)
  • TABLE 48: LATIN AMERICA: GPU DATABASE MARKET SIZE, BY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 49: MIDDLE EAST AND AFRICA: GPU DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 50: MIDDLE EAST AND AFRICA: GPU DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 51: MIDDLE EAST AND AFRICA: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 52: MIDDLE EAST AND AFRICA: GPU DATABASE MARKET SIZE, BY TOOL, 2016-2023 (USD MILLION)
  • TABLE 53: MIDDLE EAST AND AFRICA: GPU DATABASE MARKET SIZE, BY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 54: NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2018
  • TABLE 55: PARTNERSHIPS AND COLLABORATIONS, 2017-2018
  • TABLE 56: BUSINESS EXPANSIONS, 2018
  • TABLE 57: KEY PLAYERS IN THE GPU DATABASE MARKET

LIST OF FIGURES

  • FIGURE 1: GPU DATABASE MARKET: RESEARCH DESIGN
  • FIGURE 2: GPU DATABASE MARKET: BOTTOM-UP APPROACH
  • FIGURE 3: GPU DATABASE MARKET: TOP-DOWN APPROACH
  • FIGURE 4: GPU DATABASE MARKET OVERVIEW
  • FIGURE 5: GPU DATABASE MARKET TO WITNESS HIGH GROWTH DURING THE FORECAST PERIOD
  • FIGURE 6: GPU DATABASE MARKET, BY COMPONENT (2018 VS. 2023)
  • FIGURE 7: GPU DATABASE MARKET, BY TOOL (2018-2023)
  • FIGURE 8: INCREASING NEED TO ANALYZE THE REAL-TIME CONSUMER DATA FOR INFORMED DECISION-MAKING TO DRIVE THE GPU DATABASE MARKET
  • FIGURE 9: GPU DATABASE MARKET, BY APPLICATION (2018-2023)
  • FIGURE 10: GPU DATABASE MARKET, BY DEPLOYMENT MODEL (2018-2023)
  • FIGURE 11: NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2018
  • FIGURE 12: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: GPU DATABASE MARKET
  • FIGURE 13: GPU DATABASE MARKET: EVOLUTION
  • FIGURE 14: GPU DATABASE: WORKFLOW
  • FIGURE 15: TOOLS SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 16: GPU-ACCELERATED DATABASES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 17: SCM SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 18: ON-PREMISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 19: RETAIL AND ECOMMERCE VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 20: ASIA PACIFIC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 21: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 22: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 23: KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE GPU DATABASE MARKET, 2017-2018
  • FIGURE 24: SWOT ANALYSIS: KINETICA
  • FIGURE 25: SWOT ANALYSIS: OMNISCI
  • FIGURE 26: SWOT ANALYSIS: SQREAM
  • FIGURE 27: SWOT ANALYSIS: NEO4J
  • FIGURE 28: NVIDIA: COMPANY SNAPSHOT
  • FIGURE 29: SWOT ANALYSIS: NVIDIA
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