Global Graph Database

Graph Database Comprehensive Study by Type (RDF, Property Graph), Application (Recommendation Engines, Fraud Detection, Customer Analytics, Supply Chain Management, Risk and Compliance Management, Others), Deployment Mode (Cloud, On-Premises), Industry Verticals (BFSI, IT and Telecommunications, Retail and E-Commerce, Healthcare, Manufacturing, Government, Others), Organizations Size (Small and Medium Size Organizations, Large Size Organizations), Offerings (Services {Managed Services, Professional Services, Consulting Services}, Tools) Players and Region - Global Market Outlook to 2026

Graph Database Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Graph databases are a platform is used to store and navigate the relationship. These Relationships are first-class citizens in graph databases, and most of the value of graph databases is derived from these relationships. Graph databases utilize various nodes to store data entities and edges to store relationships between various entities. Basically, a graph in a graph database is traversed along with specific edge types or across the entire graph.This growth is primarily driven by Rising Availability of Real-Time Big Data Mining and Growing Demand for the Advanced Visualization, Increasing Demand for Systems Which Can Procedure Low-Latency Queries and Rapid Adoption of AI-Based Graph Database Platforms.

Globally, a noticeable market trend is evident The Growing Adoption of Data-Driven Decisions . Major Players, such as IBM (United States), Microsoft (United States), Oracle (United States), AWS (United States), Neo4j (United States), OrientDB (United Kingdom), TIBCO (United States), Franz (United States), OpenLink Software (United States) and MarkLogic (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
In Dec 2019, TigerGraph announced its new functionality and performance for its cloud platform. Through this initiative, the company is helping enterprises with its advanced analytics on graphs for their data which require larger dataset combinations. Along with that, the company is highly focusing on technologies such as machine learning and artificial intelligence.
In Jun 2019, data.world announced the acquisition of the Capsenta which enable the business to the high-security access with the on-premises databases in the cloud. Through this initiative, the company is trying to bring its data integration software with its real-time collaboration and with graph schema modeling tools to its customers.

Market Drivers
  • Rising Availability of Real-Time Big Data Mining and Growing Demand for the Advanced Visualization
  • Increasing Demand for Systems Which Can Procedure Low-Latency Queries
  • Rapid Adoption of AI-Based Graph Database Platforms

Market Trend
  • The Growing Adoption of Data-Driven Decisions
  • Rising Trends of Interconnected Data Among Organizations
  • Growing Demand for Storing Data in Different Databases, Depending on Consumer Requirements

Restraints
  • Scarcity of Standardization and Programming Ease

Opportunities
Growing Requirement for the Identification of the Complex Patterns for the Maximum Scale Gaining Traction and Rapid Utilization of Virtualization for Big Data Analytics
Challenges
Lack of Technical Expertise

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Graph Database Study Sheds Light on
— The Graph Database Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Graph Database industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Graph Database industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • RDF
  • Property Graph
By Application
  • Recommendation Engines
  • Fraud Detection
  • Customer Analytics
  • Supply Chain Management
  • Risk and Compliance Management
  • Others
By Deployment Mode
  • Cloud
  • On-Premises

By Industry Verticals
  • BFSI
  • IT and Telecommunications
  • Retail and E-Commerce
  • Healthcare
  • Manufacturing
  • Government
  • Others

By Organizations Size
  • Small and Medium Size Organizations
  • Large Size Organizations

By Offerings
  • Services {Managed Services, Professional Services, Consulting Services}
  • Tools

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rising Availability of Real-Time Big Data Mining and Growing Demand for the Advanced Visualization
      • 3.2.2. Increasing Demand for Systems Which Can Procedure Low-Latency Queries
      • 3.2.3. Rapid Adoption of AI-Based Graph Database Platforms
    • 3.3. Market Challenges
      • 3.3.1. Lack of Technical Expertise
    • 3.4. Market Trends
      • 3.4.1. The Growing Adoption of Data-Driven Decisions
      • 3.4.2. Rising Trends of Interconnected Data Among Organizations
      • 3.4.3. Growing Demand for Storing Data in Different Databases, Depending on Consumer Requirements
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Graph Database, by Type, Application, Deployment Mode, Industry Verticals, Organizations Size, Offerings and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Graph Database (Value)
      • 5.2.1. Global Graph Database by: Type (Value)
        • 5.2.1.1. RDF
        • 5.2.1.2. Property Graph
      • 5.2.2. Global Graph Database by: Application (Value)
        • 5.2.2.1. Recommendation Engines
        • 5.2.2.2. Fraud Detection
        • 5.2.2.3. Customer Analytics
        • 5.2.2.4. Supply Chain Management
        • 5.2.2.5. Risk and Compliance Management
        • 5.2.2.6. Others
      • 5.2.3. Global Graph Database by: Deployment Mode (Value)
        • 5.2.3.1. Cloud
        • 5.2.3.2. On-Premises
      • 5.2.4. Global Graph Database by: Industry Verticals (Value)
        • 5.2.4.1. BFSI
        • 5.2.4.2. IT and Telecommunications
        • 5.2.4.3. Retail and E-Commerce
        • 5.2.4.4. Healthcare
        • 5.2.4.5. Manufacturing
        • 5.2.4.6. Government
        • 5.2.4.7. Others
      • 5.2.5. Global Graph Database by: Organizations Size (Value)
        • 5.2.5.1. Small and Medium Size Organizations
        • 5.2.5.2. Large Size Organizations
      • 5.2.6. Global Graph Database by: Offerings (Value)
        • 5.2.6.1. Services {Managed Services, Professional Services, Consulting Services}
        • 5.2.6.2. Tools
      • 5.2.7. Global Graph Database Region
        • 5.2.7.1. South America
          • 5.2.7.1.1. Brazil
          • 5.2.7.1.2. Argentina
          • 5.2.7.1.3. Rest of South America
        • 5.2.7.2. Asia Pacific
          • 5.2.7.2.1. China
          • 5.2.7.2.2. Japan
          • 5.2.7.2.3. India
          • 5.2.7.2.4. South Korea
          • 5.2.7.2.5. Taiwan
          • 5.2.7.2.6. Australia
          • 5.2.7.2.7. Rest of Asia-Pacific
        • 5.2.7.3. Europe
          • 5.2.7.3.1. Germany
          • 5.2.7.3.2. France
          • 5.2.7.3.3. Italy
          • 5.2.7.3.4. United Kingdom
          • 5.2.7.3.5. Netherlands
          • 5.2.7.3.6. Rest of Europe
        • 5.2.7.4. MEA
          • 5.2.7.4.1. Middle East
          • 5.2.7.4.2. Africa
        • 5.2.7.5. North America
          • 5.2.7.5.1. United States
          • 5.2.7.5.2. Canada
          • 5.2.7.5.3. Mexico
    • 5.3. Global Graph Database (Price)
      • 5.3.1. Global Graph Database by: Type (Price)
  • 6. Graph Database: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Oracle (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. AWS (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Neo4j (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. OrientDB (United Kingdom)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. TIBCO (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Franz (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. OpenLink Software (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. MarkLogic (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Graph Database Sale, by Type, Application, Deployment Mode, Industry Verticals, Organizations Size, Offerings and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Graph Database (Value)
      • 7.2.1. Global Graph Database by: Type (Value)
        • 7.2.1.1. RDF
        • 7.2.1.2. Property Graph
      • 7.2.2. Global Graph Database by: Application (Value)
        • 7.2.2.1. Recommendation Engines
        • 7.2.2.2. Fraud Detection
        • 7.2.2.3. Customer Analytics
        • 7.2.2.4. Supply Chain Management
        • 7.2.2.5. Risk and Compliance Management
        • 7.2.2.6. Others
      • 7.2.3. Global Graph Database by: Deployment Mode (Value)
        • 7.2.3.1. Cloud
        • 7.2.3.2. On-Premises
      • 7.2.4. Global Graph Database by: Industry Verticals (Value)
        • 7.2.4.1. BFSI
        • 7.2.4.2. IT and Telecommunications
        • 7.2.4.3. Retail and E-Commerce
        • 7.2.4.4. Healthcare
        • 7.2.4.5. Manufacturing
        • 7.2.4.6. Government
        • 7.2.4.7. Others
      • 7.2.5. Global Graph Database by: Organizations Size (Value)
        • 7.2.5.1. Small and Medium Size Organizations
        • 7.2.5.2. Large Size Organizations
      • 7.2.6. Global Graph Database by: Offerings (Value)
        • 7.2.6.1. Services {Managed Services, Professional Services, Consulting Services}
        • 7.2.6.2. Tools
      • 7.2.7. Global Graph Database Region
        • 7.2.7.1. South America
          • 7.2.7.1.1. Brazil
          • 7.2.7.1.2. Argentina
          • 7.2.7.1.3. Rest of South America
        • 7.2.7.2. Asia Pacific
          • 7.2.7.2.1. China
          • 7.2.7.2.2. Japan
          • 7.2.7.2.3. India
          • 7.2.7.2.4. South Korea
          • 7.2.7.2.5. Taiwan
          • 7.2.7.2.6. Australia
          • 7.2.7.2.7. Rest of Asia-Pacific
        • 7.2.7.3. Europe
          • 7.2.7.3.1. Germany
          • 7.2.7.3.2. France
          • 7.2.7.3.3. Italy
          • 7.2.7.3.4. United Kingdom
          • 7.2.7.3.5. Netherlands
          • 7.2.7.3.6. Rest of Europe
        • 7.2.7.4. MEA
          • 7.2.7.4.1. Middle East
          • 7.2.7.4.2. Africa
        • 7.2.7.5. North America
          • 7.2.7.5.1. United States
          • 7.2.7.5.2. Canada
          • 7.2.7.5.3. Mexico
    • 7.3. Global Graph Database (Price)
      • 7.3.1. Global Graph Database by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Graph Database: by Type(USD Million)
  • Table 2. Graph Database RDF , by Region USD Million (2015-2020)
  • Table 3. Graph Database Property Graph , by Region USD Million (2015-2020)
  • Table 4. Graph Database: by Application(USD Million)
  • Table 5. Graph Database Recommendation Engines , by Region USD Million (2015-2020)
  • Table 6. Graph Database Fraud Detection , by Region USD Million (2015-2020)
  • Table 7. Graph Database Customer Analytics , by Region USD Million (2015-2020)
  • Table 8. Graph Database Supply Chain Management , by Region USD Million (2015-2020)
  • Table 9. Graph Database Risk and Compliance Management , by Region USD Million (2015-2020)
  • Table 10. Graph Database Others , by Region USD Million (2015-2020)
  • Table 11. Graph Database: by Deployment Mode(USD Million)
  • Table 12. Graph Database Cloud , by Region USD Million (2015-2020)
  • Table 13. Graph Database On-Premises , by Region USD Million (2015-2020)
  • Table 14. Graph Database: by Industry Verticals(USD Million)
  • Table 15. Graph Database BFSI , by Region USD Million (2015-2020)
  • Table 16. Graph Database IT and Telecommunications , by Region USD Million (2015-2020)
  • Table 17. Graph Database Retail and E-Commerce , by Region USD Million (2015-2020)
  • Table 18. Graph Database Healthcare , by Region USD Million (2015-2020)
  • Table 19. Graph Database Manufacturing , by Region USD Million (2015-2020)
  • Table 20. Graph Database Government , by Region USD Million (2015-2020)
  • Table 21. Graph Database Others , by Region USD Million (2015-2020)
  • Table 22. Graph Database: by Organizations Size(USD Million)
  • Table 23. Graph Database Small and Medium Size Organizations , by Region USD Million (2015-2020)
  • Table 24. Graph Database Large Size Organizations , by Region USD Million (2015-2020)
  • Table 25. Graph Database: by Offerings(USD Million)
  • Table 26. Graph Database Services {Managed Services, Professional Services, Consulting Services} , by Region USD Million (2015-2020)
  • Table 27. Graph Database Tools , by Region USD Million (2015-2020)
  • Table 28. South America Graph Database, by Country USD Million (2015-2020)
  • Table 29. South America Graph Database, by Type USD Million (2015-2020)
  • Table 30. South America Graph Database, by Application USD Million (2015-2020)
  • Table 31. South America Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 32. South America Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 33. South America Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 34. South America Graph Database, by Offerings USD Million (2015-2020)
  • Table 35. Brazil Graph Database, by Type USD Million (2015-2020)
  • Table 36. Brazil Graph Database, by Application USD Million (2015-2020)
  • Table 37. Brazil Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 38. Brazil Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 39. Brazil Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 40. Brazil Graph Database, by Offerings USD Million (2015-2020)
  • Table 41. Argentina Graph Database, by Type USD Million (2015-2020)
  • Table 42. Argentina Graph Database, by Application USD Million (2015-2020)
  • Table 43. Argentina Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 44. Argentina Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 45. Argentina Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 46. Argentina Graph Database, by Offerings USD Million (2015-2020)
  • Table 47. Rest of South America Graph Database, by Type USD Million (2015-2020)
  • Table 48. Rest of South America Graph Database, by Application USD Million (2015-2020)
  • Table 49. Rest of South America Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 50. Rest of South America Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 51. Rest of South America Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 52. Rest of South America Graph Database, by Offerings USD Million (2015-2020)
  • Table 53. Asia Pacific Graph Database, by Country USD Million (2015-2020)
  • Table 54. Asia Pacific Graph Database, by Type USD Million (2015-2020)
  • Table 55. Asia Pacific Graph Database, by Application USD Million (2015-2020)
  • Table 56. Asia Pacific Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 57. Asia Pacific Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 58. Asia Pacific Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 59. Asia Pacific Graph Database, by Offerings USD Million (2015-2020)
  • Table 60. China Graph Database, by Type USD Million (2015-2020)
  • Table 61. China Graph Database, by Application USD Million (2015-2020)
  • Table 62. China Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 63. China Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 64. China Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 65. China Graph Database, by Offerings USD Million (2015-2020)
  • Table 66. Japan Graph Database, by Type USD Million (2015-2020)
  • Table 67. Japan Graph Database, by Application USD Million (2015-2020)
  • Table 68. Japan Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 69. Japan Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 70. Japan Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 71. Japan Graph Database, by Offerings USD Million (2015-2020)
  • Table 72. India Graph Database, by Type USD Million (2015-2020)
  • Table 73. India Graph Database, by Application USD Million (2015-2020)
  • Table 74. India Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 75. India Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 76. India Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 77. India Graph Database, by Offerings USD Million (2015-2020)
  • Table 78. South Korea Graph Database, by Type USD Million (2015-2020)
  • Table 79. South Korea Graph Database, by Application USD Million (2015-2020)
  • Table 80. South Korea Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 81. South Korea Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 82. South Korea Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 83. South Korea Graph Database, by Offerings USD Million (2015-2020)
  • Table 84. Taiwan Graph Database, by Type USD Million (2015-2020)
  • Table 85. Taiwan Graph Database, by Application USD Million (2015-2020)
  • Table 86. Taiwan Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 87. Taiwan Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 88. Taiwan Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 89. Taiwan Graph Database, by Offerings USD Million (2015-2020)
  • Table 90. Australia Graph Database, by Type USD Million (2015-2020)
  • Table 91. Australia Graph Database, by Application USD Million (2015-2020)
  • Table 92. Australia Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 93. Australia Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 94. Australia Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 95. Australia Graph Database, by Offerings USD Million (2015-2020)
  • Table 96. Rest of Asia-Pacific Graph Database, by Type USD Million (2015-2020)
  • Table 97. Rest of Asia-Pacific Graph Database, by Application USD Million (2015-2020)
  • Table 98. Rest of Asia-Pacific Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 99. Rest of Asia-Pacific Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 100. Rest of Asia-Pacific Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 101. Rest of Asia-Pacific Graph Database, by Offerings USD Million (2015-2020)
  • Table 102. Europe Graph Database, by Country USD Million (2015-2020)
  • Table 103. Europe Graph Database, by Type USD Million (2015-2020)
  • Table 104. Europe Graph Database, by Application USD Million (2015-2020)
  • Table 105. Europe Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 106. Europe Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 107. Europe Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 108. Europe Graph Database, by Offerings USD Million (2015-2020)
  • Table 109. Germany Graph Database, by Type USD Million (2015-2020)
  • Table 110. Germany Graph Database, by Application USD Million (2015-2020)
  • Table 111. Germany Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 112. Germany Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 113. Germany Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 114. Germany Graph Database, by Offerings USD Million (2015-2020)
  • Table 115. France Graph Database, by Type USD Million (2015-2020)
  • Table 116. France Graph Database, by Application USD Million (2015-2020)
  • Table 117. France Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 118. France Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 119. France Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 120. France Graph Database, by Offerings USD Million (2015-2020)
  • Table 121. Italy Graph Database, by Type USD Million (2015-2020)
  • Table 122. Italy Graph Database, by Application USD Million (2015-2020)
  • Table 123. Italy Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 124. Italy Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 125. Italy Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 126. Italy Graph Database, by Offerings USD Million (2015-2020)
  • Table 127. United Kingdom Graph Database, by Type USD Million (2015-2020)
  • Table 128. United Kingdom Graph Database, by Application USD Million (2015-2020)
  • Table 129. United Kingdom Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 130. United Kingdom Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 131. United Kingdom Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 132. United Kingdom Graph Database, by Offerings USD Million (2015-2020)
  • Table 133. Netherlands Graph Database, by Type USD Million (2015-2020)
  • Table 134. Netherlands Graph Database, by Application USD Million (2015-2020)
  • Table 135. Netherlands Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 136. Netherlands Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 137. Netherlands Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 138. Netherlands Graph Database, by Offerings USD Million (2015-2020)
  • Table 139. Rest of Europe Graph Database, by Type USD Million (2015-2020)
  • Table 140. Rest of Europe Graph Database, by Application USD Million (2015-2020)
  • Table 141. Rest of Europe Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 142. Rest of Europe Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 143. Rest of Europe Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 144. Rest of Europe Graph Database, by Offerings USD Million (2015-2020)
  • Table 145. MEA Graph Database, by Country USD Million (2015-2020)
  • Table 146. MEA Graph Database, by Type USD Million (2015-2020)
  • Table 147. MEA Graph Database, by Application USD Million (2015-2020)
  • Table 148. MEA Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 149. MEA Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 150. MEA Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 151. MEA Graph Database, by Offerings USD Million (2015-2020)
  • Table 152. Middle East Graph Database, by Type USD Million (2015-2020)
  • Table 153. Middle East Graph Database, by Application USD Million (2015-2020)
  • Table 154. Middle East Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 155. Middle East Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 156. Middle East Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 157. Middle East Graph Database, by Offerings USD Million (2015-2020)
  • Table 158. Africa Graph Database, by Type USD Million (2015-2020)
  • Table 159. Africa Graph Database, by Application USD Million (2015-2020)
  • Table 160. Africa Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 161. Africa Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 162. Africa Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 163. Africa Graph Database, by Offerings USD Million (2015-2020)
  • Table 164. North America Graph Database, by Country USD Million (2015-2020)
  • Table 165. North America Graph Database, by Type USD Million (2015-2020)
  • Table 166. North America Graph Database, by Application USD Million (2015-2020)
  • Table 167. North America Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 168. North America Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 169. North America Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 170. North America Graph Database, by Offerings USD Million (2015-2020)
  • Table 171. United States Graph Database, by Type USD Million (2015-2020)
  • Table 172. United States Graph Database, by Application USD Million (2015-2020)
  • Table 173. United States Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 174. United States Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 175. United States Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 176. United States Graph Database, by Offerings USD Million (2015-2020)
  • Table 177. Canada Graph Database, by Type USD Million (2015-2020)
  • Table 178. Canada Graph Database, by Application USD Million (2015-2020)
  • Table 179. Canada Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 180. Canada Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 181. Canada Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 182. Canada Graph Database, by Offerings USD Million (2015-2020)
  • Table 183. Mexico Graph Database, by Type USD Million (2015-2020)
  • Table 184. Mexico Graph Database, by Application USD Million (2015-2020)
  • Table 185. Mexico Graph Database, by Deployment Mode USD Million (2015-2020)
  • Table 186. Mexico Graph Database, by Industry Verticals USD Million (2015-2020)
  • Table 187. Mexico Graph Database, by Organizations Size USD Million (2015-2020)
  • Table 188. Mexico Graph Database, by Offerings USD Million (2015-2020)
  • Table 189. Graph Database: by Type(USD/Units)
  • Table 190. Company Basic Information, Sales Area and Its Competitors
  • Table 191. Company Basic Information, Sales Area and Its Competitors
  • Table 192. Company Basic Information, Sales Area and Its Competitors
  • Table 193. Company Basic Information, Sales Area and Its Competitors
  • Table 194. Company Basic Information, Sales Area and Its Competitors
  • Table 195. Company Basic Information, Sales Area and Its Competitors
  • Table 196. Company Basic Information, Sales Area and Its Competitors
  • Table 197. Company Basic Information, Sales Area and Its Competitors
  • Table 198. Company Basic Information, Sales Area and Its Competitors
  • Table 199. Company Basic Information, Sales Area and Its Competitors
  • Table 200. Graph Database: by Type(USD Million)
  • Table 201. Graph Database RDF , by Region USD Million (2021-2026)
  • Table 202. Graph Database Property Graph , by Region USD Million (2021-2026)
  • Table 203. Graph Database: by Application(USD Million)
  • Table 204. Graph Database Recommendation Engines , by Region USD Million (2021-2026)
  • Table 205. Graph Database Fraud Detection , by Region USD Million (2021-2026)
  • Table 206. Graph Database Customer Analytics , by Region USD Million (2021-2026)
  • Table 207. Graph Database Supply Chain Management , by Region USD Million (2021-2026)
  • Table 208. Graph Database Risk and Compliance Management , by Region USD Million (2021-2026)
  • Table 209. Graph Database Others , by Region USD Million (2021-2026)
  • Table 210. Graph Database: by Deployment Mode(USD Million)
  • Table 211. Graph Database Cloud , by Region USD Million (2021-2026)
  • Table 212. Graph Database On-Premises , by Region USD Million (2021-2026)
  • Table 213. Graph Database: by Industry Verticals(USD Million)
  • Table 214. Graph Database BFSI , by Region USD Million (2021-2026)
  • Table 215. Graph Database IT and Telecommunications , by Region USD Million (2021-2026)
  • Table 216. Graph Database Retail and E-Commerce , by Region USD Million (2021-2026)
  • Table 217. Graph Database Healthcare , by Region USD Million (2021-2026)
  • Table 218. Graph Database Manufacturing , by Region USD Million (2021-2026)
  • Table 219. Graph Database Government , by Region USD Million (2021-2026)
  • Table 220. Graph Database Others , by Region USD Million (2021-2026)
  • Table 221. Graph Database: by Organizations Size(USD Million)
  • Table 222. Graph Database Small and Medium Size Organizations , by Region USD Million (2021-2026)
  • Table 223. Graph Database Large Size Organizations , by Region USD Million (2021-2026)
  • Table 224. Graph Database: by Offerings(USD Million)
  • Table 225. Graph Database Services {Managed Services, Professional Services, Consulting Services} , by Region USD Million (2021-2026)
  • Table 226. Graph Database Tools , by Region USD Million (2021-2026)
  • Table 227. South America Graph Database, by Country USD Million (2021-2026)
  • Table 228. South America Graph Database, by Type USD Million (2021-2026)
  • Table 229. South America Graph Database, by Application USD Million (2021-2026)
  • Table 230. South America Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 231. South America Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 232. South America Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 233. South America Graph Database, by Offerings USD Million (2021-2026)
  • Table 234. Brazil Graph Database, by Type USD Million (2021-2026)
  • Table 235. Brazil Graph Database, by Application USD Million (2021-2026)
  • Table 236. Brazil Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 237. Brazil Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 238. Brazil Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 239. Brazil Graph Database, by Offerings USD Million (2021-2026)
  • Table 240. Argentina Graph Database, by Type USD Million (2021-2026)
  • Table 241. Argentina Graph Database, by Application USD Million (2021-2026)
  • Table 242. Argentina Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 243. Argentina Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 244. Argentina Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 245. Argentina Graph Database, by Offerings USD Million (2021-2026)
  • Table 246. Rest of South America Graph Database, by Type USD Million (2021-2026)
  • Table 247. Rest of South America Graph Database, by Application USD Million (2021-2026)
  • Table 248. Rest of South America Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 249. Rest of South America Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 250. Rest of South America Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 251. Rest of South America Graph Database, by Offerings USD Million (2021-2026)
  • Table 252. Asia Pacific Graph Database, by Country USD Million (2021-2026)
  • Table 253. Asia Pacific Graph Database, by Type USD Million (2021-2026)
  • Table 254. Asia Pacific Graph Database, by Application USD Million (2021-2026)
  • Table 255. Asia Pacific Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 256. Asia Pacific Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 257. Asia Pacific Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 258. Asia Pacific Graph Database, by Offerings USD Million (2021-2026)
  • Table 259. China Graph Database, by Type USD Million (2021-2026)
  • Table 260. China Graph Database, by Application USD Million (2021-2026)
  • Table 261. China Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 262. China Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 263. China Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 264. China Graph Database, by Offerings USD Million (2021-2026)
  • Table 265. Japan Graph Database, by Type USD Million (2021-2026)
  • Table 266. Japan Graph Database, by Application USD Million (2021-2026)
  • Table 267. Japan Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 268. Japan Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 269. Japan Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 270. Japan Graph Database, by Offerings USD Million (2021-2026)
  • Table 271. India Graph Database, by Type USD Million (2021-2026)
  • Table 272. India Graph Database, by Application USD Million (2021-2026)
  • Table 273. India Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 274. India Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 275. India Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 276. India Graph Database, by Offerings USD Million (2021-2026)
  • Table 277. South Korea Graph Database, by Type USD Million (2021-2026)
  • Table 278. South Korea Graph Database, by Application USD Million (2021-2026)
  • Table 279. South Korea Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 280. South Korea Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 281. South Korea Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 282. South Korea Graph Database, by Offerings USD Million (2021-2026)
  • Table 283. Taiwan Graph Database, by Type USD Million (2021-2026)
  • Table 284. Taiwan Graph Database, by Application USD Million (2021-2026)
  • Table 285. Taiwan Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 286. Taiwan Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 287. Taiwan Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 288. Taiwan Graph Database, by Offerings USD Million (2021-2026)
  • Table 289. Australia Graph Database, by Type USD Million (2021-2026)
  • Table 290. Australia Graph Database, by Application USD Million (2021-2026)
  • Table 291. Australia Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 292. Australia Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 293. Australia Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 294. Australia Graph Database, by Offerings USD Million (2021-2026)
  • Table 295. Rest of Asia-Pacific Graph Database, by Type USD Million (2021-2026)
  • Table 296. Rest of Asia-Pacific Graph Database, by Application USD Million (2021-2026)
  • Table 297. Rest of Asia-Pacific Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 298. Rest of Asia-Pacific Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 299. Rest of Asia-Pacific Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 300. Rest of Asia-Pacific Graph Database, by Offerings USD Million (2021-2026)
  • Table 301. Europe Graph Database, by Country USD Million (2021-2026)
  • Table 302. Europe Graph Database, by Type USD Million (2021-2026)
  • Table 303. Europe Graph Database, by Application USD Million (2021-2026)
  • Table 304. Europe Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 305. Europe Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 306. Europe Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 307. Europe Graph Database, by Offerings USD Million (2021-2026)
  • Table 308. Germany Graph Database, by Type USD Million (2021-2026)
  • Table 309. Germany Graph Database, by Application USD Million (2021-2026)
  • Table 310. Germany Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 311. Germany Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 312. Germany Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 313. Germany Graph Database, by Offerings USD Million (2021-2026)
  • Table 314. France Graph Database, by Type USD Million (2021-2026)
  • Table 315. France Graph Database, by Application USD Million (2021-2026)
  • Table 316. France Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 317. France Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 318. France Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 319. France Graph Database, by Offerings USD Million (2021-2026)
  • Table 320. Italy Graph Database, by Type USD Million (2021-2026)
  • Table 321. Italy Graph Database, by Application USD Million (2021-2026)
  • Table 322. Italy Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 323. Italy Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 324. Italy Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 325. Italy Graph Database, by Offerings USD Million (2021-2026)
  • Table 326. United Kingdom Graph Database, by Type USD Million (2021-2026)
  • Table 327. United Kingdom Graph Database, by Application USD Million (2021-2026)
  • Table 328. United Kingdom Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 329. United Kingdom Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 330. United Kingdom Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 331. United Kingdom Graph Database, by Offerings USD Million (2021-2026)
  • Table 332. Netherlands Graph Database, by Type USD Million (2021-2026)
  • Table 333. Netherlands Graph Database, by Application USD Million (2021-2026)
  • Table 334. Netherlands Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 335. Netherlands Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 336. Netherlands Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 337. Netherlands Graph Database, by Offerings USD Million (2021-2026)
  • Table 338. Rest of Europe Graph Database, by Type USD Million (2021-2026)
  • Table 339. Rest of Europe Graph Database, by Application USD Million (2021-2026)
  • Table 340. Rest of Europe Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 341. Rest of Europe Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 342. Rest of Europe Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 343. Rest of Europe Graph Database, by Offerings USD Million (2021-2026)
  • Table 344. MEA Graph Database, by Country USD Million (2021-2026)
  • Table 345. MEA Graph Database, by Type USD Million (2021-2026)
  • Table 346. MEA Graph Database, by Application USD Million (2021-2026)
  • Table 347. MEA Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 348. MEA Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 349. MEA Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 350. MEA Graph Database, by Offerings USD Million (2021-2026)
  • Table 351. Middle East Graph Database, by Type USD Million (2021-2026)
  • Table 352. Middle East Graph Database, by Application USD Million (2021-2026)
  • Table 353. Middle East Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 354. Middle East Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 355. Middle East Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 356. Middle East Graph Database, by Offerings USD Million (2021-2026)
  • Table 357. Africa Graph Database, by Type USD Million (2021-2026)
  • Table 358. Africa Graph Database, by Application USD Million (2021-2026)
  • Table 359. Africa Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 360. Africa Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 361. Africa Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 362. Africa Graph Database, by Offerings USD Million (2021-2026)
  • Table 363. North America Graph Database, by Country USD Million (2021-2026)
  • Table 364. North America Graph Database, by Type USD Million (2021-2026)
  • Table 365. North America Graph Database, by Application USD Million (2021-2026)
  • Table 366. North America Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 367. North America Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 368. North America Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 369. North America Graph Database, by Offerings USD Million (2021-2026)
  • Table 370. United States Graph Database, by Type USD Million (2021-2026)
  • Table 371. United States Graph Database, by Application USD Million (2021-2026)
  • Table 372. United States Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 373. United States Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 374. United States Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 375. United States Graph Database, by Offerings USD Million (2021-2026)
  • Table 376. Canada Graph Database, by Type USD Million (2021-2026)
  • Table 377. Canada Graph Database, by Application USD Million (2021-2026)
  • Table 378. Canada Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 379. Canada Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 380. Canada Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 381. Canada Graph Database, by Offerings USD Million (2021-2026)
  • Table 382. Mexico Graph Database, by Type USD Million (2021-2026)
  • Table 383. Mexico Graph Database, by Application USD Million (2021-2026)
  • Table 384. Mexico Graph Database, by Deployment Mode USD Million (2021-2026)
  • Table 385. Mexico Graph Database, by Industry Verticals USD Million (2021-2026)
  • Table 386. Mexico Graph Database, by Organizations Size USD Million (2021-2026)
  • Table 387. Mexico Graph Database, by Offerings USD Million (2021-2026)
  • Table 388. Graph Database: by Type(USD/Units)
  • Table 389. Research Programs/Design for This Report
  • Table 390. Key Data Information from Secondary Sources
  • Table 391. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Graph Database: by Type USD Million (2015-2020)
  • Figure 5. Global Graph Database: by Application USD Million (2015-2020)
  • Figure 6. Global Graph Database: by Deployment Mode USD Million (2015-2020)
  • Figure 7. Global Graph Database: by Industry Verticals USD Million (2015-2020)
  • Figure 8. Global Graph Database: by Organizations Size USD Million (2015-2020)
  • Figure 9. Global Graph Database: by Offerings USD Million (2015-2020)
  • Figure 10. South America Graph Database Share (%), by Country
  • Figure 11. Asia Pacific Graph Database Share (%), by Country
  • Figure 12. Europe Graph Database Share (%), by Country
  • Figure 13. MEA Graph Database Share (%), by Country
  • Figure 14. North America Graph Database Share (%), by Country
  • Figure 15. Global Graph Database: by Type USD/Units (2015-2020)
  • Figure 16. Global Graph Database share by Players 2020 (%)
  • Figure 17. Global Graph Database share by Players (Top 3) 2020(%)
  • Figure 18. Global Graph Database share by Players (Top 5) 2020(%)
  • Figure 19. BCG Matrix for key Companies
  • Figure 20. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 21. IBM (United States) Revenue: by Geography 2020
  • Figure 22. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 23. Microsoft (United States) Revenue: by Geography 2020
  • Figure 24. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 25. Oracle (United States) Revenue: by Geography 2020
  • Figure 26. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 27. AWS (United States) Revenue: by Geography 2020
  • Figure 28. Neo4j (United States) Revenue, Net Income and Gross profit
  • Figure 29. Neo4j (United States) Revenue: by Geography 2020
  • Figure 30. OrientDB (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 31. OrientDB (United Kingdom) Revenue: by Geography 2020
  • Figure 32. TIBCO (United States) Revenue, Net Income and Gross profit
  • Figure 33. TIBCO (United States) Revenue: by Geography 2020
  • Figure 34. Franz (United States) Revenue, Net Income and Gross profit
  • Figure 35. Franz (United States) Revenue: by Geography 2020
  • Figure 36. OpenLink Software (United States) Revenue, Net Income and Gross profit
  • Figure 37. OpenLink Software (United States) Revenue: by Geography 2020
  • Figure 38. MarkLogic (United States) Revenue, Net Income and Gross profit
  • Figure 39. MarkLogic (United States) Revenue: by Geography 2020
  • Figure 40. Global Graph Database: by Type USD Million (2021-2026)
  • Figure 41. Global Graph Database: by Application USD Million (2021-2026)
  • Figure 42. Global Graph Database: by Deployment Mode USD Million (2021-2026)
  • Figure 43. Global Graph Database: by Industry Verticals USD Million (2021-2026)
  • Figure 44. Global Graph Database: by Organizations Size USD Million (2021-2026)
  • Figure 45. Global Graph Database: by Offerings USD Million (2021-2026)
  • Figure 46. South America Graph Database Share (%), by Country
  • Figure 47. Asia Pacific Graph Database Share (%), by Country
  • Figure 48. Europe Graph Database Share (%), by Country
  • Figure 49. MEA Graph Database Share (%), by Country
  • Figure 50. North America Graph Database Share (%), by Country
  • Figure 51. Global Graph Database: by Type USD/Units (2021-2026)
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Microsoft (United States)
  • Oracle (United States)
  • AWS (United States)
  • Neo4j (United States)
  • OrientDB (United Kingdom)
  • TIBCO (United States)
  • Franz (United States)
  • OpenLink Software (United States)
  • MarkLogic (United States)
Additional players considered in the study are as follows:
TigerGraph (United States) , DataStax (United States) , Ontotext (Bulgaria) , Stardog (United States)
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Key Highlights of Report


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Historical year: 2016-2020; Base year: 2020; Forecast period: 2021 to 2026
Companies that are profiled in Global Graph Database Market are IBM (United States), Microsoft (United States), Oracle (United States), AWS (United States), Neo4j (United States), OrientDB (United Kingdom), TIBCO (United States), Franz (United States), OpenLink Software (United States) and MarkLogic (United States) etc.
Graph databases are a platform is used to store and navigate the relationship. These Relationships are first-class citizens in graph databases, and most of the value of graph databases is derived from these relationships. Graph databases utilize various nodes to store data entities and edges to store relationships between various entities. Basically, a graph in a graph database is traversed along with specific edge types or across the entire graph.

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