Graph Database Market Growth, Analysis of Key Players, Forecast 2028

The global market for Graph Database Market has experienced several changes in the last few years. This research report on the worldwide market attempts to analyze these change and present a complete overview of this market. It provides important information and statistics of this market such as growth drivers, restraining factors, future prospects, and trends and opportunities. Dynamics of production and supply chain and various rules and regulations prevalent in this market has been discussed at length this market study. The global market for Graph Database Market has also been evaluated on the basis of the manufacturing chain of the products produced in this market, their pricing, and the revenue generated by them.

Graph database is an online database management system where connected elements are linked together.  Graph database is an ideal solution to store data and to connect relationships between data much more accurately than a relational database (RDBMS). Graph Database is engineered with transactional integrity and operational availability, designed to deliver high-level transactional performance. Graph databases connect the data stored in the graph, and also equipped to determine how things relate to one another quickly.

Graph database is flexible with expanding data mode and suitable for delivery aligned with today’s changing business needs & delivery practices. Some of the predominant business giants utilizing graph databases are Facebook, Google, LinkedIn, and PayPal. Three key advantages of graph database are Flexibility, Performance, and Agility. Some of the common use cases of graph databases are fraud detection, real-time recommendation engines, master data management (MDM), network and its operations, identity and access management (IAM).

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Graph Database Market: Market Dynamics

Expanding business applications with connected data coupled with rising technological challenges of connected data is the prominent factor drives the growth of global graph database market. Additionally, expanding enterprise data volumes coupled with growing importance to generate insight from existing data, rising focus on data monetization solutions and increasing demand for master data management solutions, are the factors further accelerates the growth of global graph database market. Also, growing dependency on connected data for fraud detection across various industries including e-commerce, banking, financial services and insurance, contributes the growth of growth of global graph database market. Furthermore, rising demand for connected data to optimize marketing performance, continuous adoption to cloud computing environment across various industries and expanding (IoT) applications, expected to fuel the growth of global graph database market. However, implementation challenges and lack of understanding regarding the potential benefits of graph databases are the key factors identified as restraints likely to deter the progression of global graph database market.

Graph Database Market: Market Segmentation

The globalgraph database market is segmented on the basis of component, vertical, end-user type, and by region

Graph Database Market: Segmentation on the basis of Component

  • Software
    • On premise
    • Cloud
  • Services
    • Consulting  & Training

Graph Database Market: Segmentation on the basis of Vertical

  • BFSI
  • Information Technology
  • Telecommunication
  • Travel & Logistics
  • Healthcare & Pharmaceutical
  • Manufacturing
  • E-commerce & Retail
  • Others

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Graph Database Market: Segmentation on the basis of End-user Type

  • Small & Medium Enterprises
  • Large Enterprises

Graph Database Market: Segmentation on the basis of Region

  • North America
  • Latin America
  • Western Europe
  • Eastern Europe
  • Asia-Pacific excluding Japan
  • Japan
  • The Middle East and Africa

Graph Database Market: Competition Landscape

Some of the prominent players in the global graph database market include Oracle, International Business Machines Corporation, Neo Technology, Inc., OrientDB,   Franz Inc.(AllegroGraph), DataStax, Ontotext AD, ArangoDB GmbH, Sparsity Technologies, and Objectivity Inc.( InfiniteGraph).

MRR.BIZ has been compiled in-depth market research data in the report after exhaustive primary and secondary research. Our team of able, experienced in-house analysts has collated the information through personal interviews and study of industry databases, journals, and reputable paid sources.