The global graph database market reached a value of US$ 1.13 Billion in 2021. Looking forward, IMARC Group expects the market to reach a value of US$ 3.78 Billion by 2027, exhibiting a CAGR of 21.60% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.

A graph database is a database wherein the data model conforms to a graph, network, or link structure. It stores data in collections of nodes and edges instead of columns and rows. It currently finds extensive applications in customer analytics, recommendation engines, master data management, identity and access management, and fraud detection and risk management worldwide. Graph Database Market Trends:
The rising usage of graph database solutions in different industry verticals, such as retail, information technology (IT), telecommunications, manufacturing, transportation, and banking, financial services and insurance (BFSI), represents one of the key factors propelling the market growth. Moreover, these solutions are used in smart grids as they are optimized for graph data models. They are also utilized in supply chain management, data mining of social media data, and sales to determine interconnections between the online actions of a customer. Apart from this, graph database solutions are inherently flexible, and graphs can be extended with new vertices and edge types with ease. Besides this, they assist in avoiding the generation and replication of many tables, thereby reducing complexity in a database and enhancing data accessibility. In addition, they have a competitive advantage over traditional database solutions in terms of indexing, computing power, storage, and querying. This, coupled with the growing adoption of artificial intelligence (AI) based graph database tools and services around the world, is driving the market. Furthermore, healthcare systems based on graph database solutions provide a holistic and unified view of health data, which helps doctors diagnose and predict diseases quickly. This, along with the increasing reliance on cloud computing technology, is catalyzing the demand for graph database solutions across the globe.

Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global graph database market, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on component, type of database, analysis type, deployment model, application and industry vertical.

Breakup by Component:


Breakup by Type of Database:

Relational (SQL)
Non-Relational (NoSQL)

Breakup by Analysis Type:

Path Analysis
Connectivity Analysis
Community Analysis
Centrality Analysis

Breakup by Deployment Model:


Breakup by Application: Fraud Detection and Risk Management
Master Data Management
Customer Analytics
Identity and Access Management
Recommendation Engine
Privacy and Risk Compliance

Breakup by Industry Vertical:

Retail and E-Commerce
IT and Telecom
Healthcare and Life Science
Government and Public Sector
Media and Entertainment
Transportation and Logistics

Breakup by Region: North America
United States
South Korea
United Kingdom
Latin America
Middle East and Africa

Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players being Amazon Web Services Inc. ( Inc.), Datastax Inc., Franz Inc., International Business Machines Corporation, Marklogic Corporation, Microsoft Corporation, Neo4j Inc., Objectivity Inc., Oracle Corporation, Stardog Union, Tibco Software Inc. and Tigergraph Inc. Key Questions Answered in This Report:
How has the global graph database market performed so far and how will it perform in the coming years?
What has been the impact of COVID-19 on the global graph database market?
What are the key regional markets?
What is the breakup of the market based on the component?
What is the breakup of the market based on the type of database?
What is the breakup of the market based on the analysis type?
What is the breakup of the market based on the deployment model?
What is the breakup of the market based on the application?
What is the breakup of the market based on the industry vertical?
What are the various stages in the value chain of the industry?
What are the key driving factors and challenges in the industry?
What is the structure of the global graph database market and who are the key players?
What is the degree of competition in the industry?