Graph Database Market by Type (Resource Description Framework, and Property Graph); By Component (Tools, and Services); By Deployment type (Cloud, and On-Premises); By Application (Customer Analytics, Risk Management and Fraud Detection, Recommendation Engines, and Other Applications); By (Large Enterprise, and Small and Medium-Sized Enterprise); By Industry Vertical (BFSI, Telecom and IT, Healthcare and Lifesciences, and Others); By Geography (North America, Asia-Pacific, Europe, Middle East &

  • Published On: Aug, 2019
  • Category: Telecom IT
  • Pages: 108
The Global Graph Database market is expected to reach $3.5 billion by 2026, with a projected CAGR of 23.6% during the forecast period.

Market Overview

The Global Graph Database market is expected to reach $3.5 billion by 2026, with a projected CAGR of 23.6% during the forecast period. A graph database is one that stores data in terms of entities and the relationships between entities. The systems are commonly built to be used in transactional systems. The graph relates the data items in the store to a collection of nodes and edges; the edges representing the relationships between the nodes. These benefits and systems have the ability for scaling and handling naturally large data sets. Graph database is engineered with transactional integrity and operational availability, designed to deliver high-level transactional performance.

Market Dynamics

Surging demand for better response time and accuracy to discover new data correlations, and AI-enhanced graph database tools and services are the major factors driving the growth of the global graph database market. In addition, expanding business applications with connected data coupled with rising technological challenges of connected data are some factors that are also witnessed to drive the market in the forecast period. However, lack of technical expertise and high setup costs may hamper the market growth. Moreover, increase in use of virtualization for big data analytics and constant technological advancements in graph database technology is likely to gain significant impetus for the market share in the forthcoming years.

Market Segmentation

The global graph database market is classified on the basis of type, component, application, deployment type, organization size, industry vertical, and geography. Based on type segment, the market comprises resource description framework, and property graph. On the basis of component, the segmentation includes tools, and services. The application segment is further bifurcated into customer analytics, risk management and fraud detection, recommendation engines, and other applications. By deployment type, the segmentation can be given as cloud, and on-premises. Large enterprise, and small and medium-sized enterprises (SMEs) are the classification of organization size. The industry vertical segment is bifurcated into banking, financial services, and insurance, telecom and IT, healthcare and lifesciences, transportation and logistics, retail and ecommerce, energy and utilities, government and public, manufacturing, and others. Furthermore, geographical coverage has been offered for each of the major regions including North America, Asia-Pacific, Europe, Row, and South America.

Scope of the Global Graph Database Market

By Type
  • Resource Description Framework
  • Property Graph
By Component
  • Tools
  • Services
By Application
  • Customer Analytics
  • Risk Management and Fraud Detection
  • Recommendation Engines
  • Other Applications
By Organization Size
  • Large Enterprises
  • Small and Medium-Sized Enterprises (SMEs)
By Deployment type
  • Cloud
  • On-Premises
By Industry Vertical
  • Banking, Financial Services, and Insurance
  • Telecom and IT
  • Healthcare and Lifesciences
  • Transportation and Logistics
  • Retail and Ecommerce
  • Energy and Utilities
  • Government And Public
  • Manufacturing
  • Others
By Geography
  • North America
    • U.S
    • Canada
    • Mexico
  • Europe
    • UK
    • France
    • Germany
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Korea
    • Rest of APAC
  • South America
    • Brazil
    • Rest of South America
  • Rest of the World
    • Middle East
    • Africa

TABLE OF CONTENTS Chapter 1 Introduction 1.1 Executive Summary 1.2 Market Definition 1.3 Market Scope Chapter 2 Research Methodology 2.1 Primary Research 2.2 Research Methodology 2.3 Assumptions & Exclusions 2.4 Secondary Data Sources Chapter 3 Market Overview 3.1 Report Segmentation & Scope 3.2 Key Market Trends 3.2.1 Drivers 3.2.2 Restraints 3.2.3 Opportunities 3.3 Porter’s Five Forces Analysis 3.4 Market Share Analysis Chapter 4 Global Graph Database Market by Type: Market Size and Forecast, 2018 – 2026 4.1 Introduction 4.1.1 Market Size and Forecast 4.2 Resource Description Framework 4.2.1 Market Size and Forecast 4.3 Property Graph 4.3.1 Market Size and Forecast Chapter 5 Global Graph Database Market by Component: Market Size and Forecast, 2018 – 2026 5.1 Introduction 5.1.1 Market Size and Forecast 5.2 Tools 5.2.1 Market Size and Forecast 5.3 Services 5.3.1 Market Size and Forecast Chapter 6 Global Graph Database Market by Application: Market Size and Forecast, 2018 – 2026 6.1 Introduction 6.1.1 Market Size and Forecast 6.2 Customer Analytics 6.2.1 Market Size and Forecast 6.3 Risk Management and Fraud Detection 6.3.1 Market Size and Forecast 6.4 Recommendation Engines 6.4.1 Market Size and Forecast 6.5 Other Applications 6.5.1 Market Size and Forecast Chapter 7 Global Graph Database Market by Organization Size: Market Size and Forecast, 2018 – 2026 7.1 Introduction 7.1.1 Market Size and Forecast 7.2 Large Enterprises 7.2.1 Market Size and Forecast 7.3 Small and Medium-Sized Enterprises (SMEs) 7.3.1 Market Size and Forecast Chapter 8 Global Graph Database Market by Application: Market Size and Forecast, 2018 – 2026 8.1 Introduction 8.1.1 Market Size and Forecast 8.2 Cloud 8.2.1 Market Size and Forecast 8.3 On-Premises 8.3.1 Market Size and Forecast Chapter 9 Global Graph Database Market by Industry Vertical: Market Size and Forecast, 2018 – 2026 9.1 Introduction 9.1.1 Market Size and Forecast 9.2 BFSI 9.2.1 Market Size and Forecast 9.3 Telecom & IT 9.3.1 Market Size and Forecast 9.4 Healthcare and Lifesciences 9.4.1 Market Size and Forecast 9.5 Transportation and Logistics 9.5.1 Market Size and Forecast 9.6 Retail and Commerce 9.6.1 Market Size and Forecast 9.7 Energy & Utilities 9.7.1 Market Size and Forecast 9.8 Government and Public 9.8.1 Market Size and Forecast 9.9 Manufacturing 9.9.1 Market Size and Forecast 9.10 Other Industries 9.10.1 Market Size and Forecast Chapter 10 Global Graph Database Market by Geography: Market Size and Forecast, 2018 – 2026 10.1 Introduction 10.1.1 Market Size and Forecast 10.2 North America 10.2.1 North America Market Size & Forecast, By Country 10.2.2 North America Market Size & Forecast, By Type 10.2.3 North America Market Size & Forecast, By Component 10.2.4 North America Market Size & Forecast, By Application 10.2.5 North America Market Size & Forecast, By Organization Size 10.2.6 North America Market Size & Forecast, By Deployment Model 10.2.7 North America Market Size & Forecast, By Industry Vertical 10.2.8 The U.S. 10.2.8.1 Market Size and Forecast 10.2.9 Canada 10.2.9.1 Market Size and Forecast 10.2.10 Mexico 10.2.10.1 Market Size and Forecast 10.3 Europe 10.3.1 Europe Market Size and Forecast, By Country 10.3.2 Europe Market Size and Forecast, By Type 10.3.3 Europe Market Size and Forecast, By Component 10.3.4 Europe Market Size and Forecast, By Application 10.3.5 Europe Market Size and Forecast, By Organization Size 10.3.6 Europe Market Size and Forecast, By Deployment Model 10.3.7 Europe Market Size and Forecast, By Industry Vertical 10.3.8 UK 10.3.8.1 Market Size and Forecast 10.3.9 Germany 10.3.9.1 Market Size and Forecast 10.3.10 France 10.3.10.1 Market Size and Forecast 10.3.11 Italy 10.3.11.1 Market Size and Forecast 10.3.12 Spain 10.3.12.1 Market Size and Forecast 10.3.13 Rest of Europe 10.3.13.1 Market Size and Forecast 10.4 Asia-Pacific 10.4.1 Asia-Pacific Market Size and Forecast, By Country 10.4.2 Asia-Pacific Market Size and Forecast, By Type 10.4.3 Asia-Pacific Market Size and Forecast, By Component 10.4.4 Asia-Pacific Market Size and Forecast, By Application 10.4.5 Asia-Pacific Market Size and Forecast, By Organization Size 10.4.6 Asia-Pacific Market Size and Forecast, By Deployment Model 10.4.7 Asia-Pacific Market Size and Forecast, By Industry Vertical 10.4.8 India 10.4.8.1 Market Size and Forecast 10.4.9 China 10.4.9.1 Market Size and Forecast 10.4.10 Australia 10.4.10.1 Market Size and Forecast 10.4.11 Japan 10.4.11.1 Market Size and Forecast 10.4.12 South Korea 10.4.12.1 Market Size and Forecast 10.4.13 Rest of Asia-Pacific 10.4.13.1 Market Size and Forecast 10.5 South America 10.5.1 South America Market Size and Forecast, By Country 10.5.2 South America Market Size and Forecast, By Type 10.5.3 South America Market Size and Forecast, By Component 10.5.4 South America Market Size and Forecast, By Application 10.5.5 South America Market Size and Forecast, By Organization Size 10.5.6 South America Market Size and Forecast, By Deployment Model 10.5.7 South America Market Size and Forecast, By Industry Vertical 10.5.8 Brazil 10.5.8.1 Market Size and Forecast 10.5.9 Rest of South America 10.5.9.1 Market Size and Forecast 10.6 RoW 10.6.1 RoW Market Size and Forecast, By Country 10.6.2 RoW Market Size and Forecast, By Type 10.6.3 RoW Market Size and Forecast, By Component 10.6.4 RoW Market Size and Forecast, By Application 10.6.5 RoW Market Size and Forecast, By Organization Size 10.6.6 RoW Market Size and Forecast, By Deployment Model 10.6.7 RoW Market Size and Forecast, By Industry Vertical 10.6.8 Middle East 10.6.8.1 Market Size and Forecast 10.6.9 Africa 10.6.9.1 Market Size and Forecast Chapter 11 Company Profiles 11.1 ArangoDB 11.2 Cambridge Semantics 11.3 DataStax 11.4 Franz Inc. 11.5 International Business Machines Corporation 11.6 MarkLogic 11.7 Memgraph 11.8 Microsoft 11.9 Neo Technology, Inc. 11.10 OpenLink Software 11.11 Oracle 11.12 OrientDB 11.13 Sparcity Technologies 11.14 Teradata Corporation 11.15 TIBCO Software 11.16 TigerGraph

Graph Database Market Key Players
  • ArangoDB
  • Cambridge Semantics
  • DataStax
  • Franz Inc.
  • International Business Machines Corporation
  • MarkLogic
  • Memgraph
  • Microsoft
  • Neo Technology, Inc.
  • OpenLink Software
  • Oracle
  • OrientDB
  • Sparcity Technologies
  • Teradata Corporation
  • TIBCO Software
  • TigerGraph

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Report Highlights:

Complete overview of market
Major drivers, restrain, opportunities, and challenges of the market
Market Trends and how they are boosting the market growth
Changing dynamics in the Market
Complete overview of the market
Historical, Base year, projected, and current market size in terms of value and volume
COVID-19 Impact analysis of the market
Current industry trends and developments

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