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Graph Database Market Size, Share & Industry Analysis, By Component (Software, Services), By Type (Relational (SQL), Non-Relational (NoSQL)), By Analysis Type (Community Analysis, Connectivity Analysis,Centrality Analysis),By Deployment (Cloud, On Premise), By Application (Identity and Access Management, Customer Analytics, Recommendation Engine), By End User (BFSI, IT & Telecommunication, Retail, Healthcare) And Regional Forecast, 2024-2032

Region :Global | Report ID: FBI105916 | Status : Ongoing



Graph database is defined as single purpose, specialized platform for manipulating and creating graphs. These graphs contains properties, nodes and edges that are used to store and represent data in relational database. Graph analytics is another commonly used term for graph database this term refers to analyzing graph data in graph formats using data relationships as edges and points as nodes.

In addition, graph database are technologies that are transactional of online transaction processing (OLTP) database. Further, the increasing adoption of AI based graph database services & tools and increasing demand for solutions that can process low latency queries are likely to drive the growth of the market. Similarly, the rapid need of identity complex patterns and virtualization of big data analytics are also anticipated to fuel the growth of graph database market in near future.

The outbreak of COVID 19 has changed the dynamics of business operations globally. COVID 19 had positive impact on graph database market as many government organizations and private sectors adopted the graph database for managing uncertainty at real time. The use of artificial intelligence based graph database has also increase during COVID 19. This has helped customers to manage complex supply chain and helping workers through disruption of their lives and work.

Key Market Driver -

• Real time big data mining with visualization is anticipated to fuel the growth of graph database market. • Increasing demand for solutions that can process low latency queries is expected to drive the growth graph database market

Key Market Restraint -

• Lack of programming and standardization ease is anticipated to hinder the growth of the market. • Lack of technical expertise is also expected to restrict the market growth.

Key Players Covered:

Key players operating in graph database market are Microsoft Corporation, Amazon Web Services, Inc., Ontotext, Hewlett Packard Enterprise, Teradata Corporation, Stardog Union Inc., Objectivity Inc., MangoDB, Orient DB, Oracle Corporation, Neon4j Inc., TIBCO Software, Franz Inc., DataStax, IBM Corporation, ArangoDB, Blazegraph, Openlink Software, MarkLogic Corporation, GraphBase and TigerGraph Inc., among others.

Major market players are adopting various organic and inorganic strategies such as collaboration, acquisitions, new product launch, product enhancement, mergers and partnership to enhance their market presence. For instance, in April 2021, MANTA partnered with Neo4j to integrate MANTA’s platform for pipeline analysis with Neo4j’s graph database technology. This partnership will help customers to process large volumes of data faster with improved graph database technology.

Regional Analysis:

North America is anticipated to have significant market growth due the emergence of technology based industries and enterprises that has created significant growth opportunities for graph database players in the region as most of the enterprises rely on data, which is driving the adoption of graph database services & tools and related technologies. Further, investment made by vendors are also fueling the growth of the market, for instance, TigerGraph headquartered in California, United States raise USD 32 million for graph database tools.

Asia Pacific is also expected to have significant growth in graph database due to increasing number of proliferation of IoT devices, manufacturing firms and emergence of artificial intelligence base graph database providers. Further, the many Asian countries are leveraging information intensive technologies to gain competitive edge among other players. These factors are more likely to create opportunity for graph database vendors and drive the market growth in the region.

Middle East and Africa is more likely to grow due to rising demand for enhanced data visualization tools. Further, many initiatives taken by governments in the region is expected to drive the growth of the market. For instance, NEOM, a mega futuristic city project is expected to implement advanced technologies such as renewable energy, robotics, smart vehicles, IoT devices, big data analytics and graph database system that can be used to for urban planning, analyzing climate change and planning route etc. Whereas, Europe is also expected to drive the growth due to wide adoption smart technologies that helps user to get the real time big data visualization.

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By Component

  • Software

  • Services

By Type



  •  Relational (SQL)

  • Non-Relational (NoSQL)

By Analysis Type

  • Community Analysis

  • Connectivity Analysis

  • Centrality Analysis

  • Path Analysis

By Deployment

  • Cloud

  • On Premise

By  Application

  • Identity and Access Management

  • Customer Analytics

  • Recommendation Engine

  • Master Data Management

  • Privacy and Risk Compliance

  • Fraud Detection and Risk Management

  • Others

By End User

  • Banking, Financial Services and Insurance (BFSI)

  • IT & Telecommunication

  • Retail

  • Healthcare

  • Life Science

  • Media & Entertainment

  • Government

  • Others (Transport & Logistics, Manufacturing, etc.)

By Region

  • North America (United States, Canada, and Mexico)

  • South America (Brazil, Argentina, and Rest of South America)

  • Europe (U.K., Germany, France, Italy, Spain, Russia, Benelux, Nordics, and Rest of Europe)

  • Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, and Rest of the Middle East & Africa)

  • Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania, and Rest of Asia Pacific)

Key Industry Developments

  • May 2020 – Amazon Web Services, Inc., launched Amazon Kendra to help organizations index their internal data sources that helps in easy searching of data and helps end users to get precise answer to natural language querries.

  • June 2021 – Neo4J launched the latest version 4.3 of its graph database. The latest version of graph database includes graph data science, relationship property indexes, new smart IO scheduling and parallelized backup among others.

  • April 2021 – MarkLogic Corporation launched MarkLogic Data Hub Central with no code/low code user interface. The launch of MarkLogic enables enterprises with a clear roadmap with cloud modernization by bringing ease and agility to use the data infrastructure.

  • October 2020 – Microsoft Corporation launched new artificial intelligence system that describe and caption images. The system is available on Azure Cognitive Services.

  • Ongoing
  • 2023
  • 2019-2022

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