グラフデータベースの世界市場予測(~2023年)

◆英語タイトル:Graph Database Market by Type (RDF and Property Graph), Application (Risk Management & Fraud Detection, Customer Analytics, Recommendation Engines), Component (Tools and Services), Deployment Type, Industry Vertical, and Region - Global Forecast to 2023
◆商品コード:TC-6341
◆発行会社(リサーチ会社):MarketsandMarkets
◆発行日:2018年6月4日
◆ページ数:166
◆レポート形式:英語 / PDF
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◆調査対象地域:グローバル
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MarketsandMarketsが発行した当調査レポートでは、グラフ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、市場シェア分析、種類別分析、用途別分析、構成要素別分析、地域別分析、グラフ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。

・イントロダクション
・エグゼクティブサマリー
・グラフデータベースの世界市場:市場インサイト
・グラフデータベースの世界市場:市場概観/市場動向
・グラフデータベースの世界市場:市場シェア分析
・グラフデータベースの世界市場:種類別分析/市場規模
・グラフデータベースの世界市場:用途別分析/市場規模
・グラフデータベースの世界市場:構成要素別分析/市場規模
・グラフデータベースの世界市場:地域別分析/市場規模
・グラフデータベースのアジア市場規模予測
・グラフデータベースのヨーロッパ市場規模予測
・グラフデータベースのアメリカ市場規模予測
・グラフデータベースの世界市場動向
・グラフデータベースの世界市場:競争状況
・グラフデータベースの世界市場:関連企業分析
...

※上記の和訳は最新内容ではない場合があります。
【レポートの概要】

Increasing need for better response time and accuracy to discover new data correlations is the key growth driver for the graph database market The graph database market size is expected to grow from USD 821.8 million in 2018 to USD 2,409.1 million by 2023, at a Compound Annual Growth Rate (CAGR) of 24.0% during the forecast period. Some of the key drivers for the graph database market include enterprises’ increasing demand to have better response time and accuracy to discover new data corelations, and the advent of AI-enhanced graph database software and services.
However, lack of technical expertise and high setup costs associated with graph dataabases are restraining the growth of graph database market.
Risk Management and Fraud Detection is estimated to hold the largest market size in 2018 in the graph database market.
Fraud detection applications, through their real-time, near-real-time, and batch analysis of users’ activities, assist companies in safeguarding their customers and enterprise information, assets, accounts, and transactions. To address frauds and the related risks, enterprises use Transaction Monitoring Systems (TMS) that are based on relational databases. However, due to TMS’ linear and discrete analysis approach, they usually help in spotting trends and incidents post their occurrence on a limited basis. This is where graph database tools and services really add value and enhance the entire risk and fraud management process. Moreover, these tools and services add an additional security layer to its architecture. Graph database tools assist in identifying individual data points and the links between them. Furthermore, these tools enable the rapid extraction of new insights from large and complex databases to help reveal unknown interactions and relationships, quickening the entire process of execution.
Asia Pacific (APAC) is expected to grow at the highest rate during the forecast period in the graph database market by region
APAC is expected to grow at the highest CAGR and estimated to have an immense potential for the growth of the graph database market in the coming years. Many Asian countries, including Singapore and China, are leveraging information-intensive technologies to gain a competitive edge over other players. They are digitizing rapidly and promoting the emerging technologies, such as mobility, IoT, cloud, BI, and analytics. This trend provides significant opportunities to grow for vendors of graph database tools and services in this region. The rapid digitization has resulted in the production of large volumes of unstructured data. The region has shown an unexplored potential for the adoption of data security solutions, which can be attributed to the evolving regulations that are encouraging many multinational operators to enter the graph database market for business expansion.
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with the key people. The break-up of the profile of the primary participants is as follows:
• By Company: Tier 1 – 15 %, Tier 2 –32%, and Tier 3 –53%
• By Designation: C level – 38%, Director level – 30%, and Others – 32%
• By Region: North America – 20%, Europe – 38%, APAC – 32%, and RoW – 10%
The graph database market comprises following major vendors:
1. IBM (US)
2. Microsoft (US)
3. Oracle (US)
4. AWS (US)
5. Neo4j (US)
6. OrientDB (UK)
7. TIBCO Software (US)
8. Franz (US)
9. Teradata Corporation (US)
10. MongoDB (US)
11. OpenLink Software (US)
12. MarkLogic (US)
13. TigerGraph (US)
14. DataStax (US)
15. Ontotext (Bulgaria)
16. Stardog (US)
17. Cray (US)
18. ArangoDB (Germany)
19. Sparcity Technologies (Spain)
20. Memgraph (UK)
21. Bitnine (Korea)
22. Objectivity (US)
23. Cambridge Semantics (US)
24. Fluree (US)
25. Blazegraph (US)
Research Report
The report segments the graph database market by application (customer analytics, risk management and fraud detection, recommendation engines, and others), type (RDF and property graph), components (tools and services), deployment models (on-premises and on-demand), organization sizes (large enterprises and SMEs), verticals (BFSI, telecom and IT, retail and eCommerce, healthcare and life sciences, manufacturing, government and public, transportation and logistics, energy and utilities, and others), and regions (North America, Europe, APAC, MEA, and Latin America).
Reasons to Buy the Report
• To get a comprehensive overview of the global graph database market
• To gain wide-range of information about the top players in this market, their product portfolios, and the key strategies adopted
• To gain insights into the major countries/regions, in which the market is growing across verticals

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 18
1.1 OBJECTIVES OF THE STUDY 18
1.2 MARKET DEFINITION 18
1.3 MARKET SCOPE 19
1.4 YEARS CONSIDERED FOR THE STUDY 20
1.5 CURRENCY 21
1.6 STAKEHOLDERS 21
2 RESEARCH METHODOLOGY 22
2.1 RESEARCH DATA 22
2.1.1 SECONDARY DATA 23
2.1.2 PRIMARY DATA 23
2.1.2.1 Breakdown of primaries 24
2.1.2.2 Key industry insights 24
2.2 MARKET SIZE ESTIMATION 26
2.3 RESEARCH ASSUMPTIONS 28
2.4 LIMITATIONS 28
3 EXECUTIVE SUMMARY 29
4 PREMIUM INSIGHTS 34
4.1 ATTRACTIVE OPPORTUNITIES IN THE GRAPH DATABASE MARKET 34
4.2 GRAPH DATABASE MARKET: MARKET SHARE, BY REGION 35
4.3 GRAPH DATABASE MARKET, BY INDUSTRY VERTICAL AND REGION 36
4.4 BEST MARKET TO INVEST IN, BY REGION, 2018 37
5 MARKET OVERVIEW 38
5.1 MARKET OVERVIEW 38
5.1.1 INTRODUCTION 38
5.2 MARKET DYNAMICS 38
5.2.1 DRIVERS 39
5.2.1.1 Increasing need for better response time and accuracy to discover new data correlations 39
5.2.1.2 Multi-dimensional data management with real-time query support 40
5.2.1.3 AI-enhanced graph database tools and services 40
5.2.2 RESTRAINTS 40
5.2.2.1 Lack of technical expertise 40
5.2.2.2 High setup costs 41

5.2.3 OPPORTUNITIES 41
5.2.3.1 Rapid use of virtualization for big data analytics 41
5.2.4 CHALLENGES 41
5.2.4.1 Functionality constraints 41
5.2.4.2 Data integration impacts on insight timeliness 41
5.3 GRAPH DATABASE: USE CASES 42
5.3.1 USE CASE #1: REAL-TIME GRAPH QUERIES IN MEDIA AND ADVERTISING INDUSTRY 42
5.3.2 USE CASE #2: REVOLUTIONIZING BUSINESS CARDS 42
5.3.3 USE CASE #3: ALLOWING SCALE KNOWLEDGE-BASED ANALYTICS, CLASSIFICATION, PATTERN RECOGNITION, PREDICTIVE MODELING,
AND SIMULATIONS 43
5.3.4 USE CASE #4: INVESTIGATING THE BIGGEST DATA LEAK IN HISTORY 43
5.3.5 REGULATIONS 44
5.3.5.1 General data protection regulation 44
5.3.5.2 Health insurance portability and accountability act of 1996 44
5.3.5.3 Basel committee on banking supervision 239 compliance 44
5.3.5.4 Sarbanes-Oxley act of 2002 45
6 GRAPH DATABASE MARKET, BY TYPE 46
6.1 INTRODUCTION 47
6.2 RESOURCE DESCRIPTION FRAMEWORK 48
6.3 PROPERTY GRAPH 49
7 GRAPH DATABASE MARKET, BY APPLICATION 50
7.1 INTRODUCTION 51
7.2 CUSTOMER ANALYTICS 52
7.3 RISK MANAGEMENT AND FRAUD DETECTION 52
7.4 RECOMMENDATION ENGINES 53
7.5 OTHERS 54
8 GRAPH DATABASE MARKET, BY COMPONENT 55
8.1 INTRODUCTION 56
8.2 TOOLS 57
8.3 SERVICES 57
8.3.1 MANAGED SERVICES 59
8.3.2 PROFESSIONAL SERVICES 59
8.3.2.1 Consulting services 61
8.3.2.2 Support and maintenance services 61
8.3.2.3 Deployment and integration services 62

9 GRAPH DATABASE MARKET, BY DEPLOYMENT TYPE 63
9.1 INTRODUCTION 64
9.2 CLOUD 65
9.3 ON-PREMISES 66
10 GRAPH DATABASE MARKET, BY ORGANIZATION SIZE 67
10.1 INTRODUCTION 68
10.2 LARGE ENTERPRISES 69
10.3 SMALL AND MEDIUM-SIZED ENTERPRISES 70
11 GRAPH DATABASE MARKET, BY INDUSTRY VERTICAL 71
11.1 INTRODUCTION 72
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 73
11.3 TELECOM AND IT 74
11.4 HEALTHCARE AND LIFESCIENCES 75
11.5 TRANSPORTATION AND LOGISTICS 76
11.6 RETAIL AND ECOMMERCE 77
11.7 ENERGY AND UTILITIES 78
11.8 GOVERNMENT AND PUBLIC 79
11.9 MANUFACTURING 80
11.10 OTHERS 81
12 GRAPH DATABASE MARKET, BY REGION 82
12.1 INTRODUCTION 83
12.2 NORTH AMERICA 83
12.2.1 NORTH AMERICA BY TYPE 85
12.2.2 NORTH AMERICA BY APPLICATION 85
12.2.3 NORTH AMERICA BY COMPONENT 86
12.2.4 NORTH AMERICA BY SERVICE 86
12.2.5 NORTH AMERICA BY DEPLOYMENT TYPE 87
12.2.6 NORTH AMERICA BY ORGANIZATION SIZE 87
12.2.7 NORTH AMERICA BY INDUSTRY VERTICAL 88
12.2.8 NORTH AMERICA BY COUNTRY 88
12.2.8.1 United States 89
12.2.8.2 Canada 89
12.3 EUROPE 89
12.3.1 EUROPE BY TYPE 89
12.3.2 EUROPE BY APPLICATION 90
12.3.3 EUROPE BY COMPONENT 90
12.3.4 EUROPE BY SERVICE 91
12.3.5 EUROPE BY DEPLOYMENT TYPE 91
12.3.6 EUROPE BY ORGANIZATION SIZE 91
12.3.7 EUROPE BY INDUSTRY VERTICAL 92
12.3.8 EUROPE BY COUNTRY 92
12.3.8.1 United Kingdom 93
12.3.8.2 Germany 93
12.3.8.3 France 93
12.3.8.4 Rest of Europe 93
12.4 ASIA PACIFIC 94
12.4.1 ASIA PACIFIC BY TYPE 95
12.4.2 ASIA PACIFIC BY APPLICATION 95
12.4.3 ASIA PACIFIC BY COMPONENT 96
12.4.4 ASIA PACIFIC BY SERVICE 96
12.4.5 ASIA PACIFIC BY DEPLOYMENT TYPE 96
12.4.6 ASIA PACIFIC BY ORGANIZATION SIZE 97
12.4.7 ASIA PACIFIC BY INDUSTRY VERTICAL 97
12.4.8 ASIA PACIFIC BY COUNTRY 97
12.4.8.1 China 98
12.4.8.2 Japan 98
12.4.8.3 Australia and New Zealand 98
12.4.8.4 Rest of Asia Pacific 98
12.5 LATIN AMERICA 99
12.5.1 LATIN AMERICA BY TYPE 99
12.5.2 LATIN AMERICA BY APPLICATION 99
12.5.3 LATIN AMERICA BY COMPONENT 100
12.5.4 LATIN AMERICA BY SERVICE 100
12.5.5 LATIN AMERICA BY DEPLOYMENT TYPE 100
12.5.6 LATIN AMERICA BY ORGANIZATION SIZE 101
12.5.7 LATIN AMERICA BY INDUSTRY VERTICAL 101
12.5.8 LATIN AMERICA BY COUNTRY 102
12.5.8.1 Mexico 102
12.5.8.2 Brazil 102
12.5.8.3 Rest of Latin America 102
12.6 MIDDLE EAST AND AFRICA 103
12.6.1 MIDDLE EAST AND AFRICA BY TYPE 103
12.6.2 MIDDLE EAST AND AFRICA BY APPLICATION 104
12.6.3 MIDDLE EAST AND AFRICA BY COMPONENT 104
12.6.4 MIDDLE EAST AND AFRICA BY SERVICE 105
12.6.5 MIDDLE EAST AND AFRICA BY DEPLOYMENT TYPE 105
12.6.6 MIDDLE EAST AND AFRICA BY ORGANIZATION SIZE 106
12.6.7 MIDDLE EAST AND AFRICA BY INDUSTRY VERTICAL 106

12.6.8 MIDDLE EAST AND AFRICA BY COUNTRY 107
12.6.8.1 United Arab Emirates 107
12.6.8.2 Kingdom of Saudi Arabia 107
12.6.8.3 Qatar 107
12.6.8.4 South Africa 108
12.6.8.5 Rest of Middle East and Africa 108
13 COMPETITIVE LANDSCAPE 109
13.1 OVERVIEW 109
13.2 KEY PLAYERS IN THE GRAPH DATABASE MARKET 110
13.3 COMPETITIVE SCENARIO 110
13.3.1 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS 110
13.3.2 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS 111
13.3.3 ACQUISITIONS 112
14 COMPANY PROFILES 113
(Business overview, Solutions offered, Recent developments, SWOT analysis & MnM View)*
14.1 IBM 113
14.2 MICROSOFT 116
14.3 ORACLE 119
14.4 AWS 122
14.5 NEO4J 124
14.6 ORIENTDB 126
14.7 TERADATA CORPORATION 128
14.8 TIBCO SOFTWARE 130
14.9 FRANZ 132
14.10 OPENLINK SOFTWARE 134
14.11 MARKLOGIC 136
14.12 TIGERGRAPH 138
14.13 MONGODB 140
14.14 CRAY 142
14.15 DATASTAX 143
14.16 ONTOTEXT 145
14.17 STARDOG 146
14.18 ARANGODB 147
14.19 SPARCITY TECHNOLOGIES 148
14.20 BITNINE 149
14.21 OBJECTIVITY 150
14.22 CAMBRIDGE SEMANTICS 151

14.23 FLUREE 152
14.24 BLAZEGRAPH 153
14.25 MEMGRAPH 155
*Details on Business overview, Solutions offered, Recent developments, SWOT analysis & MnM View might not be captured in case of unlisted companies.
15 APPENDIX 156
15.1 DISCUSSION GUIDE 156
15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 161
15.3 INTRODUCING RT: REAL TIME MARKET INTELLIGENCE 163
15.4 AVAILABLE CUSTOMIZATIONS 164
15.5 RELATED REPORTS 164
15.6 AUTHOR DETAILS 165

LIST OF TABLES

TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2014–2017 21
TABLE 2 GRAPH DATABASE MARKET SIZE AND GROWTH RATE,
2016–2023 (USD MILLION, Y-O-Y %) 30
TABLE 3 GRAPH DATABASE MARKET SIZE, BY TYPE, 2016–2023 (USD MILLION) 47
TABLE 4 RESOURCE DESCRIPTION FRAMEWORK: GRAPH DATABASE MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 48
TABLE 5 PROPERTY GRAPH: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 49
TABLE 6 GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2016–2023 (USD MILLION) 51
TABLE 7 CUSTOMER ANALYTICS: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 52
TABLE 8 RISK MANAGEMENT AND FRAUD DETECTION: GRAPH DATABASE MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 53
TABLE 9 RECOMMENDATION ENGINES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 54
TABLE 10 OTHERS: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 54
TABLE 11 GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION) 56
TABLE 12 TOOLS: GRAPH DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 57
TABLE 13 SERVICES: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 58
TABLE 14 SERVICES: GRAPH DATABASE MARKET SIZE, BY TYPE, 2016–2023 (USD MILLION) 58
TABLE 15 MANAGED SERVICES: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 59
TABLE 16 PROFESSIONAL SERVICES: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 60
TABLE 17 PROFESSIONAL SERVICES: GRAPH DATABASE MARKET SIZE, BY TYPE,
2016–2023 (USD MILLION) 61
TABLE 18 CONSULTING SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 61
TABLE 19 SUPPORT AND MAINTENANCE SERVICES MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 62
TABLE 20 DEPLOYMENT AND INTEGRATION SERVICES MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 62
TABLE 21 GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE,
2016–2023 (USD MILLION) 65
TABLE 22 CLOUD: GRAPH DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 65
TABLE 23 ON-PREMISES: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 66
TABLE 24 GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 68
TABLE 25 LARGE ENTERPRISES: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 69
TABLE 26 SMALL AND MEDIUM-SIZED ENTERPRISES: GRAPH DATABASE MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 70
TABLE 27 GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL,
2016–2023 (USD MILLION) 73
TABLE 28 BANKING, FINANCIAL SERVICES, AND INSURANCE: GRAPH DATABASE MARKET SIZE, BY REGION, 2018-2023 (USD MILLION) 74
TABLE 29 TELECOM AND IT: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 74
TABLE 30 HEALTHCARE AND LIFE SCIENCES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 75
TABLE 31 TRANSPORTATION AND LOGISTICS: GRAPH DATABASE MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 76
TABLE 32 RETAIL AND ECOMMERCE: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 77
TABLE 33 ENERGY AND UTILITIES: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 78
TABLE 34 GOVERNMENT AND PUBLIC: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 79
TABLE 35 MANUFACTURING: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 80
TABLE 36 OTHERS: GRAPH DATABASE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 81
TABLE 37 NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY TYPE,
2016–2023 (USD MILLION) 85
TABLE 38 NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 85
TABLE 39 NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 86
TABLE 40 NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 86
TABLE 41 NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE,
2016–2023 (USD MILLION) 87
TABLE 42 NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 87
TABLE 43 NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 88
TABLE 44 NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 88
TABLE 45 EUROPE: GRAPH DATABASE MARKET SIZE, BY TYPE, 2016–2023 (USD MILLION) 90
TABLE 46 EUROPE: GRAPH DATABASE MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 90
TABLE 47 EUROPE: GRAPH DATABASE MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 90
TABLE 48 EUROPE: GRAPH DATABASE MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 91
TABLE 49 EUROPE: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE,
2016–2023 (USD MILLION) 91
TABLE 50 EUROPE: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 91
TABLE 51 EUROPE: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL,
2016–2023 (USD MILLION) 92
TABLE 52 EUROPE: GRAPH DATABASE MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 92
TABLE 53 ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY TYPE,
2016–2023 (USD MILLION) 95
TABLE 54 ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 95
TABLE 55 ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 96
TABLE 56 ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 96
TABLE 57 ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE,
2016–2023 (USD MILLION) 96
TABLE 58 ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 97
TABLE 59 ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL,
2016–2023 (USD MILLION) 97
TABLE 60 ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 98
TABLE 61 LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY TYPE,
2016–2023 (USD MILLION) 99
TABLE 62 LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY APPLICATION,
2016–2023 (USD MILLION) 99
TABLE 63 LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 100
TABLE 64 LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 100
TABLE 65 LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE,
2016–2023 (USD MILLION) 100
TABLE 66 LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 101
TABLE 67 LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL,
2016–2023 (USD MILLION) 101
TABLE 68 LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 102
TABLE 69 MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY TYPE,
2016–2023 (USD MILLION) 103
TABLE 70 MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2016–2023 (USD MILLION) 104
TABLE 71 MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION) 104
TABLE 72 MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY SERVICE,
2016–2023 (USD MILLION) 105
TABLE 73 MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE, 2016–2023 (USD MILLION) 105
TABLE 74 MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 106
TABLE 75 MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 106
TABLE 76 MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 107
TABLE 77 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2016–2018 110
TABLE 78 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS, 2015–2018 111
TABLE 79 ACQUISITIONS, 2015–2017 112


LIST OF FIGURES

FIGURE 1 GRAPH DATABASE MARKET: MARKET SEGMENTATION 19
FIGURE 2 REGIONAL SCOPE 20
FIGURE 3 GRAPH DATABASE MARKET: RESEARCH DESIGN 22
FIGURE 4 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION,
AND REGION 24
FIGURE 5 DATA TRIANGULATION 25
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 26
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 27
FIGURE 8 GRAPH DATABASE MARKET: ASSUMPTIONS 28
FIGURE 9 GLOBAL GRAPH DATABASE MARKET IS EXPECTED TO WITNESS SIGNIFICANT GROWTH DURING THE FORECAST PERIOD 30
FIGURE 10 GRAPH DATABASE MARKET SNAPSHOT, BY COMPONENT (2018 VS. 2023) 31
FIGURE 11 GRAPH DATABASE MARKET SNAPSHOT, BY SERVICE (2018 VS. 2023) 31
FIGURE 12 GRAPH DATABASE MARKET SNAPSHOT, BY TYPE (2018 VS. 2023) 32
FIGURE 13 GRAPH DATABASE MARKET SNAPSHOT, BY APPLICATION (2018 VS. 2023) 32
FIGURE 14 GRAPH DATABASE MARKET SNAPSHOT, BY DEPLOYMENT TYPE (2018 VS. 2023) 32
FIGURE 15 GRAPH DATABASE MARKET SNAPSHOT, BY ORGANIZATION SIZE (2018 VS. 2023) 33
FIGURE 16 GRAPH DATABASE MARKET SNAPSHOT, BY INDUSTRY VERTICAL (2018 VS 2023) 33
FIGURE 17 THE INCREASING NEED FOR BETTER RESPONSE TIME AND ACCURACY TO DISCOVER NEW DATA CORRELATIONS IS EXPECTED TO DRIVE
THE GROWTH OF THE GRAPH DATABASE MARKET 34
FIGURE 18 NORTH AMERICA IS ESTIMATED TO HAVE THE LARGEST MARKET SHARE IN 2018 35
FIGURE 19 BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY VERTICAL
AND NORTH AMERICAN REGION ARE ESTIMATED TO HAVE THE LARGEST
MARKET SHARES IN 2017 36
FIGURE 20 BEST MARKET TO INVEST IN, BY REGION, 2018 37
FIGURE 21 GRAPH DATABASE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES,
AND CHALLENGES 39
FIGURE 22 PROPERTY SEGMENT IS EXPECTED TO GROW AT A HIGHER DURING
THE FORECAST PERIOD 47
FIGURE 23 RECOMMENDATION ENGINES APPLICATION IS EXPECTED TO GROW AT
THE HIGHEST CAGR DURING THE FORECAST PERIOD 51
FIGURE 24 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING
THE FORECAST PERIOD 56
FIGURE 25 MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 58
FIGURE 26 SUPPORT AND MAINTENANCE SERVICES SEGMENT IS EXPECTED TO GROW AT
THE HIGHEST CAGR DURING THE FORECAST PERIOD 60
FIGURE 27 CLOUD DEPLOYMENT TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 64
FIGURE 28 SMALL AND MEDIUM-SIZED ENTERPRISES ARE EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 68
FIGURE 29 BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY VERTICAL IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 72

FIGURE 30 NORTH AMERICA: MARKET SNAPSHOT 84
FIGURE 31 ASIA PACIFIC: MARKET SNAPSHOT 94
FIGURE 32 KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE GRAPH DATABASE MARKET, 2017–2018 109
FIGURE 33 IBM: COMPANY SNAPSHOT 113
FIGURE 34 MICROSOFT: COMPANY SNAPSHOT 116
FIGURE 35 ORACLE: COMPANY SNAPSHOT 119
FIGURE 36 AWS: COMPANY SNAPSHOT 122
FIGURE 37 TERADATA CORPORATION: COMPANY SNAPSHOT 128
FIGURE 38 MONGODB: COMPANY SNAPSHOT 140
FIGURE 39 CRAY: COMPANY SNAPSHOT 142


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グラフデータベース

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