1 INTRODUCTION 20
1.1 OBJECTIVES OF THE STUDY 20
1.2 MARKET DEFINITION 20
1.3 MARKET SCOPE 21
1.3.1 MARKET SEGMENTATION 21
1.4 YEARS CONSIDERED FOR THE STUDY 22
1.5 CURRENCY CONSIDERED 22
1.6 STAKEHOLDERS 22

2 RESEARCH METHODOLOGY 23
2.1 RESEARCH DATA 23
2.1.1 SECONDARY DATA 24
2.1.2 PRIMARY DATA 24
2.1.2.1 Breakup of primary profiles 25
2.1.2.2 Key industry insights 25
2.2 MARKET BREAKUP AND DATA TRIANGULATION 26
2.3 MARKET SIZE ESTIMATION 27
2.3.1 TOP-DOWN APPROACH 27
2.3.2 BOTTOM-UP APPROACH 28
2.4 MARKET FORECAST 28
2.5 COMPETITIVE LEADERSHIP MAPPING RESEARCH METHODOLOGY 29
2.5.1 VENDOR INCLUSION CRITERIA 29
2.6 ASSUMPTIONS FOR THE STUDY 30
2.7 LIMITATIONS OF THE STUDY 30

3 EXECUTIVE SUMMARY 31

4 PREMIUM INSIGHTS 36
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE GRAPH DATABASE MARKET 36
4.2 GRAPH DATABASE MARKET: TOP 3 APPLICATIONS 36

5 MARKET OVERVIEW AND INDUSTRY TRENDS 38
5.1 INTRODUCTION 38
5.2 MARKET DYNAMICS 38
5.2.1 DRIVERS 39
5.2.1.1 Excellent real-time big data mining with visualization of results to drive the market 39
5.2.1.2 Growing demand for systems that can process low-latency queries 40
5.2.1.3 Adoption of AI-based graph database tools and services to drive the market 40
5.2.2 RESTRAINTS 40
5.2.2.1 Lack of standardization and programming ease 40
5.2.3 OPPORTUNITIES 41
5.2.3.1 Need to identify complex patterns at maximum scale gaining traction 41
5.2.3.2 Rapid use of virtualization for big data analytics 41
5.2.4 CHALLENGES 41
5.2.4.1 Lack of technical expertise 41
5.3 INDUSTRY TRENDS 42
5.3.1 USE CASES 42
5.3.2 USE CASE: SCENARIO 1 42
5.3.3 USE CASE: SCENARIO 2 43
5.3.4 USE CASE: SCENARIO 3 43
5.3.5 USE CASE: SCENARIO 4 44
5.3.6 USE CASE: SCENARIO 5 44
5.4 REGULATORY IMPLICATIONS 45
5.4.1 GENERAL DATA PROTECTION REGULATION 45
5.4.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996 45
5.4.3 BASEL COMMITTEE ON BANKING SUPERVISION 239 COMPLIANCE 46
5.4.4 SARBANES-OXLEY ACT OF 2002 46

6 GRAPH DATABASE MARKET, BY TYPE 47
6.1 INTRODUCTION 48
6.2 RESOURCE DESCRIPTION FRAMEWORK 49
6.2.1 DEMAND FOR INTELLIGENT DATA MANAGEMENT SOLUTIONS TO DRIVE THE GROWTH OF RDF IN THE MARKET 49
6.3 PROPERTY GRAPH 49
6.3.1 INCREASING DEMAND TO FIND RELATIONSHIPS AMONG NUMEROUS ENTITIES TO BOOST THE PROPERTY GRAPH SEGMENT GROWTH 49

7 GRAPH DATABASE MARKET, BY COMPONENT 50
7.1 INTRODUCTION 51
7.2 TOOLS 52
7.2.1 DEMAND TO HARNESS PRECISE AND IN-DEPTH DATA CONNECTIONS TO DRIVE THE ADOPTION OF GRAPH DATABASE TOOLS 52
7.3 SERVICES 52
7.3.1 MANAGED SERVICES 53
7.3.1.1 Increasing need for monitoring and maintaining tool operations and reducing overhead costs to drive the growth of managed services in the market 53
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7.3.2 PROFESSIONAL SERVICES 53
7.3.2.1 Consulting services 54
7.3.2.1.1 Technicalities involved in implementing graph database tools and services to boost the growth of consulting services 54
7.3.2.2 Deployment and integration services 54
7.3.2.2.1 Growing need to overcome system-related issues effectively to drive deployment and integration services 54
7.3.2.3 Support and maintenance services 55
7.3.2.3.1 Growing deployment of graph database software to drive the demand for support and maintenance services 55

8 GRAPH DATABASE MARKET, BY APPLICATION 56
8.1 INTRODUCTION 57
8.2 CUSTOMER ANALYTICS 58
8.2.1 GROWING DEMAND TO UNDERSTAND CUSTOMER BUYING BEHAVIOR FOR KEY BUSINESS DECISIONS TO DRIVE THE GRAPH DATABASE MARKET 58
8.3 RISK AND COMPLIANCE MANAGEMENT 58
8.3.1 DEMAND TO SECURE CUSTOMERS’ DATA AND MEET STRINGENT REGULATORY COMPLIANCE TO PAVE THE WAY FOR THE ADOPTION OF GRAPH DATABASE 58
8.4 RECOMMENDATION ENGINES 59
8.4.1 INCREASING NEED TO PROVIDE EFFICIENT, ACCURATE, AND PERSONALIZED SERVICES TO RETAIN THE CUSTOMERS AND ENHANCE THEIR SHOPPING EXPERIENCE 59
8.5 FRAUD DETECTION 59
8.5.1 GROWING FOCUS ON MITIGATING RISKS AND REDUCING LOSS TO DRIVE THE ADOPTION OF GRAPH DATABASE TOOLS AND SERVICES 59
8.6 SUPPLY CHAIN MANAGEMENT 60
8.6.1 DEMAND TO TRACK INVENTORY LEVELS AND SHIPMENTS TO FUEL THE GROWTH OF GRAPH DATABASE TOOLS AND SERVICES IN SUPPLY CHAIN MANAGEMENT 60
8.7 OTHERS 60

9 GRAPH DATABASE MARKET, BY DEPLOYMENT MODE 61
9.1 INTRODUCTION 62
9.2 CLOUD 63
9.2.1 COST-EFFECTIVENESS AND SCALABILITY OF CLOUD DEPLOYMENT TO BOOST ITS GROWTH 63
9.3 ON-PREMISES 63
9.3.1 DATA-SENSITIVE ORGANIZATIONS PREFERRING THE ON-PREMISES DEPLOYMENT MODE FOR GRAPH DATABASE TOOLS 63
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10 GRAPH DATABASE MARKET, BY ORGANIZATION SIZE 64
10.1 INTRODUCTION 65
10.2 SMALL AND MEDIUM-SIZED ENTERPRISES 66
10.2.1 AVAILABILITY OF VIABLE CLOUD-BASED, COST-EFFECTIVE SOLUTIONS TO DRIVE THE ADOPTION OF GRAPH DATABASE IN SMALL AND MEDIUM-SIZED ENTERPRISES 66
10.3 LARGE ENTERPRISES 66
10.3.1 GROWING DEMAND TO ANALYZE VOLUMINOUS BUSINESS DATA TO DRIVE THE ADOPTION OF GRAPH DATABASE IN LARGE ENTERPRISES 66

11 GRAPH DATABASE MARKET, BY INDUSTRY VERTICAL 67
11.1 INTRODUCTION 68
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 69
11.2.1 GROWING FOCUS ON FINANCIAL STANDARDS AND COMPLIANCE WITH REGULATIONS TO DRIVE THE GRAPH DATABASE MARKET IN THE BFSI INDUSTRY VERTICAL 69
11.3 TELECOM AND IT 69
11.3.1 INCREASING DEMAND TO PROVIDE IMPROVED SERVICES FOR A GROWING CUSTOMER BASE TO BOOST THE ADOPTION OF THE GRAPH DATABASE MARKET IN THE TELECOM AND IT INDUSTRY VERTICAL 69
11.4 RETAIL AND ECOMMERCE 70
11.4.1 GROWING DEMAND TO IDENTIFY CUSTOMER BEHAVIOR IN REAL TIME TO FUEL THE GROWTH OF THE GRAPH DATABASE MARKET IN THE RETAIL AND ECOMMERCE INDUSTRY VERTICAL 70
11.5 HEALTHCARE AND LIFE SCIENCES 70
11.5.1 GROWING DEMAND TO ACHIEVE BETTER PATIENT EXPERIENCE AND PERSONALIZED TREATMENT IN REAL TIME TO FUEL THE GROWTH OF THE GRAPH DATABASE MARKET IN THE HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL 70
11.6 MANUFACTURING 71
11.6.1 GROWING NEED TO EXTEND THE LIFESPAN OF FACTORY EQUIPMENT AND REDUCE THE RISK OF PRODUCTION DELAYS TO FUEL THE GROWTH OF THE GRAPH DATABASE APPLICATION IN THE MANUFACTURING INDUSTRY VERTICAL 71
11.7 GOVERNMENT AND PUBLIC SECTOR 71
11.7.1 GROWING DEMAND FOR ENHANCED DATA SECURITY AND ADVANCED INTELLIGENCE TO DRIVE THE GRAPH DATABASE MARKET IN GOVERNMENT AND PUBLIC SECTOR 71
11.8 TRANSPORTATION AND LOGISTICS 72
11.8.1 INCREASING NEED TO GAIN COMPLETE AND REAL-TIME VISIBILITY INTO OPERATIONS TO MINIMIZE RISKS DRIVING THE GRAPH DATABASE MARKET IN THE TRANSPORTATION AND LOGISTICS INDUSTRY VERTICAL 72
11.9 OTHERS 72
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12 GRAPH DATABASE MARKET, BY REGION 74
12.1 INTRODUCTION 75
12.2 NORTH AMERICA 78
12.2.1 UNITED STATES 83
12.2.1.1 Government’s focus on innovation and research to fuel the adoption of graph database software in the US 83
12.2.2 CANADA 83
12.2.2.1 Increase in investments and research activities to drive graph database software and services adoption in Canada 83
12.3 EUROPE 84
12.3.1 UNITED KINGDOM 88
12.3.1.1 Government focus on innovation and research to fuel the adoption of graph database software in the UK 88
12.3.2 GERMANY 89
12.3.2.1 Growing investments by tech-giants to provide opportunities for the development of graph database software 89
12.3.3 FRANCE 89
12.3.3.1 Focus on R&D and heavy inflow of capital from global players and investors to drive the graph database market growth in France 89
12.3.4 REST OF EUROPE 89
12.4 ASIA PACIFIC 90
12.4.1 CHINA 95
12.4.1.1 Increasing focus on integrating AI and deep learning technologies to drive the adoption of graph database software in China 95
12.4.2 JAPAN 95
12.4.2.1 Existing market and already adopted technology to boost the graph database market in Japan 95
12.4.3 AUSTRALIA AND NEW ZEALAND 96
12.4.3.1 Growth in infrastructure developments and adoption of connected devices to act as a driving factor for the graph database market in ANZ 96
12.4.4 REST OF APAC 96
12.5 MIDDLE EAST AND AFRICA 96
12.5.1 UNITED ARAB EMIRATES 101
12.5.1.1 Advanced analytics, coupled with AI adoption, to drive the graph database market in the UAE 101
12.5.2 QATAR 101
12.5.2.1 Increasing R&D to instigate the need for graph database technology in Qatar 101
12.5.3 KINGDOM OF SAUDI ARABIA 101
12.5.3.1 Government initiatives and investments to drive the adoption of the graph database market in KSA 101
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12.5.4 SOUTH AFRICA 101
12.5.4.1 Transformation in the overall infrastructure industry to boost the adoption of graph database tools in South Africa 101
12.5.5 REST OF MIDDLE EAST AND AFRICA 102
12.6 LATIN AMERICA 102
12.6.1 BRAZIL 106
12.6.1.1 Investments by multinational companies to drive the market growth in Brazil 106
12.6.2 MEXICO 107
12.6.2.1 Government initiatives and increasing demand for graph database software and services to trigger the market growth in Mexico 107
12.6.3 REST OF LATIN AMERICA 107

13 COMPETITIVE LANDSCAPE 108
13.1 COMPETITIVE LEADERSHIP MAPPING 108
13.1.1 VISIONARY LEADERS 108
13.1.2 INNOVATORS 108
13.1.3 DYNAMIC DIFFERENTIATORS 108
13.1.4 EMERGING COMPANIES 108
13.2 STRENGTH OF PRODUCT PORTFOLIO 110
13.3 BUSINESS STRATEGY EXCELLENCE 111

14 COMPANY PROFILES 112
14.1 IBM 112
(Business Overview, Solutions, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
14.2 ORACLE 116
14.3 MICROSOFT 119
14.4 AWS 122
14.5 NEO4J 125
14.6 ORIENTDB 128
14.7 TIBCO 130
14.8 TERADATA 132
14.9 FRANZ 134
14.10 OPENLINK SOFTWARE 136
14.11 MARKLOGIC 138
14.12 TIGERGRAPH 140
14.13 CRAY 142
14.14 DATASTAX 143
14.15 ONTOTEXT 145
14.16 STARDOG 146
14.17 ARANGODB 147
14.18 BITNINE 148
14.19 OBJECTIVITY 149
14.20 CAMBRIDGE SEMANTICS 150
14.21 FLUREE 151
14.22 BLAZEGRAPH 152
14.23 MEMGRAPH 154
*Details on Business Overview, Solutions, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

15 APPENDIX 155
15.1 DISCUSSION GUIDE 155
15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 160
15.3 AVAILABLE CUSTOMIZATIONS 162
15.4 RELATED REPORTS 162
15.1 AUTHOR DETAILS 163