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

GPUデータベースの世界市場予測(~2023年)

◆タイトル: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
◆商品コード:TC-6786
◆調査・発行会社:MarketsandMarkets
◆発行日:2018年12月5日
◆ページ数:131
◆レポート形式:PDF / 英語
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◆調査対象地域:グローバル
◆産業分野:IT・通信
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【レポートの概要】

当調査レポートでは、GPUデータベースの世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、用途別分析、ツール別分析、導入方式別分析、産業別分析、GPUデータベースの世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。

Intensifying business competition in data-driven industries to drive the GPU database marketMarketsandMarkets 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.

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 15
1.1 OBJECTIVES OF THE STUDY 15
1.2 MARKET DEFINITION 15
1.3 MARKET SCOPE 15
1.3.1 MARKET SEGMENTATION 16
1.4 YEARS CONSIDERED FOR THE STUDY 16
1.5 CURRENCY 17
1.6 STAKEHOLDERS 17
2 RESEARCH METHODOLOGY 18
2.1 RESEARCH DATA 18
2.1.1 SECONDARY DATA 19
2.1.1.1 Key data from secondary sources 19
2.1.2 PRIMARY DATA 20
2.1.2.1 Key industry insights 21
2.1.2.2 Breakup of primary profiles 21
2.2 MARKET BREAKUP AND DATA TRIANGULATION 22
2.3 MARKET SIZE ESTIMATION 23
2.3.1 BOTTOM-UP APPROACH 23
2.3.2 TOP-DOWN APPROACH 24
2.4 ASSUMPTIONS FOR THE STUDY 25
2.5 LIMITATIONS OF THE STUDY 25
3 EXECUTIVE SUMMARY 26
4 PREMIUM INSIGHTS 30
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE GPU DATABASE MARKET 30
4.2 GPU DATABASE MARKET, BY APPLICATION (2018-2023) 30
4.3 GPU DATABASE MARKET, BY DEPLOYMENT MODEL 31
4.4 GPU DATABASE MARKET: MARKET SHARE ACROSS REGIONS 31

5 MARKET OVERVIEW AND INDUSTRY TRENDS 32
5.1 INTRODUCTION 32
5.2 MARKET DYNAMICS 32
5.2.1 DRIVERS 33
5.2.1.1 Massive data generation across BFSI, retail, and media and entertainment industries to drive the adoption of GPU-accelerated tools 33
5.2.1.2 Availability of open source solutions and their growing applications areas 33
5.2.1.3 Regulations creating demand for solutions that provide performance-at-scale 33
5.2.2 RESTRAINTS 34
5.2.2.1 Unavailability of sufficient technical expertise and domain knowledge 34
5.2.3 OPPORTUNITIES 34
5.2.3.1 Growing demand for high-performance computing in various data-intensive industries 34
5.2.3.2 Increasing inclination of enterprises toward AI and machine learning facilitated workloads 34
5.2.4 CHALLENGES 35
5.2.4.1 Lack of adequate data security measures 35
5.2.4.2 Limited capabilities of available GPU databases to perform crucial operations in analytics use cases 35
5.3 INDUSTRY TRENDS 35
5.3.1 EVOLUTION 35
5.3.2 GPU DATABASE WORKFLOW 36
5.3.3 GPU DATABASE MARKET: USE CASES 37
5.3.3.1 USE CASE 1: Increased speed of operation with cost reduction 37
5.3.3.2 USE CASE 2: Improving network and maintaining customer loyalty with GPU-based Smart Benchmarking Dashboard 37
5.3.3.3 USE CASE 3: Enhancing interaction among GPU clusters through traditional query language 38
5.3.4 KEY EMERGING TRENDS IN THE GPU DATABASE MARKET 38
5.3.4.1 GPU-accelerated databases to bring a radical change to IoT and real-time data analytics applications 38
5.3.4.2 GPU-accelerated computing would continue to enhance machine learning and deep learning use-cases 39
5.3.4.3 Applications incorporating location-based intelligence would benefit from GPU-accelerated databases 39
5.3.5 GPU DATABASE MARKET: FUTURE OUTLOOK 40

6 GPU DATABASE MARKET, BY COMPONENT 42
6.1 INTRODUCTION 43
6.2 TOOLS 44
6.2.1 GPU-ACCELERATED DATABASES 45
6.2.1.1 High-performance computing capabilities of GPU-accelerated databases to increase their deployment across various business applications 45
6.2.2 GPU-ACCELERATED ANALYTICS 46
6.2.2.1 Need for solutions handling extreme analytics workloads without cost-burdening organizations to create demand for GPU-accelerated analytics solutions 46
6.3 SERVICES 47
6.3.1 CONSULTING 47
6.3.1.1 Need for a strategic outlook exploring new avenues for improving business performance to drive the growth of consulting services 47
6.3.2 SUPPORT AND MAINTENANCE 48
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 48
7 GPU DATABASE MARKET, BY APPLICATION 49
7.1 INTRODUCTION 50
7.2 GOVERNANCE, RISK, AND COMPLIANCE 51
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 51
7.3 THREAT INTELLIGENCE 52
7.3.1 NEED TO PREDICT CYBER THREATS IN ADVANCE TO DRIVE THE GROWTH OF THE THREAT INTELLIGENCE SEGMENT 52
7.4 CUSTOMER EXPERIENCE MANAGEMENT 53
7.4.1 NEED FOR REAL-TIME INSIGHTS INTO CUSTOMER DATA AND SERVICE CHAIN PERFORMANCE TO DRIVE THE GROWTH OF THE CEM SEGMENT 53
7.5 FRAUD DETECTION AND PREVENTION 53
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 53
7.6 PREDICTIVE MAINTENANCE 54
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 54
7.7 SUPPLY CHAIN MANAGEMENT 55
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 55
7.8 OTHERS 56
8 GPU DATABASE MARKET, BY DEPLOYMENT MODEL 57
8.1 INTRODUCTION 58
8.2 ON-PREMISES 59
8.2.1 DATA SECURITY AND PRIVACY REQUIREMENTS TO REMAIN FACTORS DOMINATING CLOUD-BASED GPU DATABASE SOLUTIONS 59
8.3 CLOUD 60
8.3.1 24×7 ACCESS TO WORLDWIDE DATA TO DRIVE THE GROWTH OF CLOUD-BASED GPU DATABASE TOOLS AND SERVICES 60
9 GPU DATABASE MARKET, BY VERTICAL 61
9.1 INTRODUCTION 62
9.2 BFSI 63
9.2.1 PARALLEL COMPUTING WITH GPU-ACCELERATED TOOLENABLE ORGANIZATIONS TO MONITOR FOR ANOMALIES IN DIVERSE STREAMS OF TRANSACTIONS AND LOG DATA 63
9.3 RETAIL AND ECOMMERCE 64
9.3.1 UNDERSTANDING CUSTOMER BEHAVIOR IN REAL TIME TO IMPROVE DECISION-MAKING 64
9.4 HEALTHCARE AND PHARMACEUTICALS 65
9.4.1 EMERGING APPLICATIONS, SUCH AS DRUG DISCOVERY, PATIENT CARE, AND INSURANCE FRAUD DETECTION, TO DRIVE THE ADOPTION OF GPU-ACCELERATED TOOLS 65
9.5 TELECOMMUNICATIONS AND IT 66
9.5.1 REDUCED CHURN RATE, IMPROVED SERVICES, AND ENHANCED CUSTOMER LOYALTY WITH GPU-ACCELERATED TOOLS TO DRIVE THE MARKET GROWTH 66
9.6 TRANSPORTATION AND LOGISTICS 67
9.6.1 NEED TO IMPROVE EFFICIENCY AND CUSTOMER EXPERIENCE TO DRIVE THE ADOPTION OF GPU DATABASE IN THE TRANSPORTATION AND LOGISTICS VERTICAL 67
9.7 GOVERNMENT AND DEFENSE 68
9.7.1 GPU-ACCELERATED DATABASE TO ANALYZE ANY DATA TO ASSESS TERRORISTS AND OTHER NATIONAL SECURITY THREATS IN REAL TIME 68
9.8 OTHERS 69
10 GPU DATABASE MARKET, BY REGION 70
10.1 INTRODUCTION 71
10.2 NORTH AMERICA 72
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 72
10.3 EUROPE 76
10.3.1 ENORMOUS DATA GENERATION AND THE NEED FOR INTERACTIVE ANALYTICS TO DRIVE THE MARKET GROWTH IN THE REGION 76

10.4 ASIA PACIFIC 78
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 78
10.5 LATIN AMERICA 81
10.5.1 DIGITALIZATION AND FAVOURABLE GOVERNMENT POLICIES TO DRIVE THE GROWTH OF THE MARKET IN LATIN AMERICA 81
10.6 MIDDLE EAST AND AFRICA 84
10.6.1 MIDDLE EAST AND AFRICA COUNTRIES, INCLUDING UAE, QATAR, KSA, AND SOUTH AFRICA, TO WITNESS SIGNIFICANT MARKET GROWTH 84
11 COMPETITIVE LANDSCAPE 87
11.1 OVERVIEW 87
11.2 COMPETITIVE SCENARIO 88
11.2.1 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS 88
11.2.2 PARTNERSHIPS AND COLLABORATIONS 89
11.2.3 BUSINESS EXPANSIONS 90
11.3 GPU DATABASE MARKET: PROMINENT PLAYERS 90
12 COMPANY PROFILES 92
(Business Overview, Tools & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
12.1 KINETICA 92
12.2 OMNISCI 96
12.3 SQREAM 99
12.4 NEO4J 102
12.5 NVIDIA 104
12.6 BRYTLYT 107
12.7 JEDOX 108
12.8 BLAZEGRAPH 111
12.9 BLAZINGDB 113
12.10 ZILLIZ 114
12.11 HETERODB 115
12.12 H2O.AI 116
12.13 FASTDATA.IO 118
12.14 FUZZY LOGIX 119
12.15 GRAPHISTRY 120
12.16 ANACONDA 121
*Details on Business Overview, Tools & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

13 APPENDIX 122
13.1 KEY INSIGHTS OF INDUSTRY EXPERTS 122
13.2 DISCUSSION GUIDE 123
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 127
13.4 AVAILABLE CUSTOMIZATION 129
13.5 RELATED REPORTS 129
13.6 AUTHOR DETAILS 130

LIST OF TABLES

TABLE 1 GPU DATABASE MARKET SIZE AND GROWTH RATE,
2016–2023 (USD MILLION, Y-O-Y %) 27
TABLE 2 RECENT VENTURE FUNDING IN GPU DATABASE MARKET, 2017–2018 40
TABLE 3 GPU DATABASE MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION) 43
TABLE 4 TOOLS: GPU DATABASE MARKET SIZE, BY TYPE, 2016–2023 (USD MILLION) 44
TABLE 5 TOOLS: GPU DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 45
TABLE 6 GPU-ACCELERATED DATABASES MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 45
TABLE 7 GPU-ACCELERATED ANALYTICS MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 46
TABLE 8 SERVICES: GPU DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 47
TABLE 9 GPU DATABASE MARKET SIZE, BY APPLICATION, 2016–2023 (USD MILLION) 50
TABLE 10 GOVERNANCE, RISK, AND COMPLIANCE: GPU DATABASE MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 51
TABLE 11 THREAT INTELLIGENCE: GPU DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 52
TABLE 12 CUSTOMER EXPERIENCE MANAGEMENT: GPU DATABASE MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 53
TABLE 13 FRAUD DETECTION AND PREVENTION: GPU DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 54
TABLE 14 PREDICTIVE MAINTENANCE: GPU DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 55
TABLE 15 SUPPLY CHAIN MANAGEMENT: GPU DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 56
TABLE 16 OTHERS: GPU DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 56
TABLE 17 GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL,
2016–2023 (USD MILLION) 58
TABLE 18 ON-PREMISES: GPU DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 59
TABLE 19 CLOUD: GPU DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 60
TABLE 20 GPU DATABASE MARKET SIZE, BY VERTICAL, 2016–2023 (USD MILLION) 62
TABLE 21 BFSI: GPU DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 63
TABLE 22 RETAIL AND ECOMMERCE: GPU DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 64
TABLE 23 HEALTHCARE AND PHARMACEUTICALS: GPU DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 65
TABLE 24 TELECOMMUNICATIONS AND IT: GPU DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 66
TABLE 25 TRANSPORTATION AND LOGISTICS: GPU DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 67
TABLE 26 GOVERNMENT AND DEFENSE: GPU DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 68
TABLE 27 OTHERS: GPU DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 69
TABLE 28 GPU DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 71
TABLE 29 NORTH AMERICA: GPU DATABASE MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 73
TABLE 30 NORTH AMERICA: GPU DATABASE MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 74
TABLE 31 NORTH AMERICA: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL,
2016–2023 (USD MILLION) 74
TABLE 32 NORTH AMERICA: GPU DATABASE MARKET SIZE, BY TOOL,
2016–2023 (USD MILLION) 75
TABLE 33 NORTH AMERICA: GPU DATABASE MARKET SIZE, BY VERTICAL,
2016–2023 (USD MILLION) 75
TABLE 34 EUROPE: GPU DATABASE MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 76
TABLE 35 EUROPE: GPU DATABASE MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 76
TABLE 36 EUROPE: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL,
2016–2023 (USD MILLION) 77
TABLE 37 EUROPE: GPU DATABASE MARKET SIZE, BY TOOL, 2016–2023 (USD MILLION) 77
TABLE 38 EUROPE: GPU DATABASE MARKET SIZE, BY VERTICAL, 2016–2023 (USD MILLION) 77
TABLE 39 ASIA PACIFIC: GPU DATABASE MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 79
TABLE 40 ASIA PACIFIC: GPU DATABASE MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 80
TABLE 41 ASIA PACIFIC: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL,
2016–2023 (USD MILLION) 80
TABLE 42 APAC: GPU DATABASE MARKET SIZE, BY TOOL, 2016–2023 (USD MILLION) 80
TABLE 43 APAC: GPU DATABASE MARKET SIZE, BY VERTICAL, 2016–2023 (USD MILLION) 81
TABLE 44 LATIN AMERICA: GPU DATABASE MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 82
TABLE 45 LATIN AMERICA: GPU DATABASE MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 82
TABLE 46 LATIN AMERICA: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL,
2016–2023 (USD MILLION) 83
TABLE 47 LATIN AMERICA: GPU DATABASE MARKET SIZE, BY TOOL,
2016–2023 (USD MILLION) 83
TABLE 48 LATIN AMERICA: GPU DATABASE MARKET SIZE, BY VERTICAL,
2016–2023 (USD MILLION) 83
TABLE 49 MIDDLE EAST AND AFRICA: GPU DATABASE MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 84
TABLE 50 MIDDLE EAST AND AFRICA: GPU DATABASE MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 85
TABLE 51 MIDDLE EAST AND AFRICA: GPU DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION) 85
TABLE 52 MIDDLE EAST AND AFRICA: GPU DATABASE MARKET SIZE, BY TOOL,
2016–2023 (USD MILLION) 85
TABLE 53 MIDDLE EAST AND AFRICA: GPU DATABASE MARKET SIZE, BY VERTICAL,
2016–2023 (USD MILLION) 86
TABLE 54 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2018 88
TABLE 55 PARTNERSHIPS AND COLLABORATIONS, 2017–2018 89
TABLE 56 BUSINESS EXPANSIONS, 2018 90
TABLE 57 KEY PLAYERS IN THE GPU DATABASE MARKET 91


LIST OF FIGURES

FIGURE 1 GPU DATABASE MARKET: RESEARCH DESIGN 18
FIGURE 2 GPU DATABASE MARKET: BOTTOM-UP APPROACH 23
FIGURE 3 GPU DATABASE MARKET: TOP-DOWN APPROACH 24
FIGURE 4 GPU DATABASE MARKET OVERVIEW 27
FIGURE 5 GPU DATABASE MARKET TO WITNESS HIGH GROWTH DURING THE
FORECAST PERIOD 28
FIGURE 6 GPU DATABASE MARKET, BY COMPONENT (2018 VS. 2023) 29
FIGURE 7 GPU DATABASE MARKET, BY TOOL (2018–2023) 29
FIGURE 8 INCREASING NEED TO ANALYZE THE REAL-TIME CONSUMER DATA FOR INFORMED DECISION-MAKING TO DRIVE THE GPU DATABASE MARKET 30
FIGURE 9 GPU DATABASE MARKET, BY APPLICATION (2018–2023) 30
FIGURE 10 GPU DATABASE MARKET, BY DEPLOYMENT MODEL (2018–2023) 31
FIGURE 11 NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2018 31
FIGURE 12 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES:
GPU DATABASE MARKET 32
FIGURE 13 GPU DATABASE MARKET: EVOLUTION 36
FIGURE 14 GPU DATABASE: WORKFLOW 36
FIGURE 15 TOOLS SEGMENT TO ACCOUNT FOR A LARGER MARKET SIZE DURING THE FORECAST PERIOD 43
FIGURE 16 GPU-ACCELERATED DATABASES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 44
FIGURE 17 SCM SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 50
FIGURE 18 ON-PREMISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 58
FIGURE 19 RETAIL AND ECOMMERCE VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 62
FIGURE 20 ASIA PACIFIC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 71
FIGURE 21 NORTH AMERICA: MARKET SNAPSHOT 73
FIGURE 22 ASIA PACIFIC: MARKET SNAPSHOT 79
FIGURE 23 KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE GPU DATABASE MARKET, 2017–2018 87
FIGURE 24 SWOT ANALYSIS: KINETICA 95
FIGURE 25 SWOT ANALYSIS: OMNISCI 97
FIGURE 26 SWOT ANALYSIS: SQREAM 101
FIGURE 27 SWOT ANALYSIS: NEO4J 103
FIGURE 28 NVIDIA: COMPANY SNAPSHOT 104
FIGURE 29 SWOT ANALYSIS: NVIDIA 105


★調査レポート[GPUデータベースの世界市場予測(~2023年)] ( 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 / TC-6786) 販売に関する免責事項
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