Future Market Insights

Graph Database Markett Analysis and Value Forecast Snapshot by End-Use Industry 2017 to 2027

Future Market Insights has announced the addition of the “Graph Database Market: Global Industry Analysis 2012 – 2016 and Opportunity Assessment; 2017 – 2027" report to their offering.


Valley Cottage, NY -- (SBWIRE) -- 09/14/2017 -- 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).

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.

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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

On premise
Consulting & Training

Graph Database Market: Segmentation on the basis of Vertical

Information Technology
Travel & Logistics
Healthcare & Pharmaceutical
E-commerce & Retail

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
The Middle East and Africa

Graph Database Market: Regional Outlook

Among all regions, graph database market in North America is expected to dominate the market, due to increasing demand for data analytics solutions and continuous focus to deliver personalized customer experience by organizations across various industries. Asia-Pacific is identified as the fastest growing graph database market due to expanding cloud computing solutions and growing preference to generate competitive insights from connected data from banking, financial, and e-commerce sector.

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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).