The global demand for Graph Database Market is presumed to reach the valuation of nearly USD XXX MN by 2026 from USD XXX MN in 2019 with a CAGR of X.XX% under the study period of 2020 - 2026.
A graph database is a database intended to treat the relationships between data. It uses graph structures for semantic queries with nodes, edges, and properties to characterize and store data. It is intended to hold data without compressing it to a pre-defined model. It is best for storing complex data structures that would be infeasible to store in a traditional relational database. It allows including diverse kinds of objects and different kinds of relationships in the graph. Graph databases are suited for applications that deal with the interdependencies between entities. Some of the known graph database examples are OrientDB, Neo4j, Amazon Neptune, ArangoDB, FlockDB, DataStax, etc.
The growing business applications with connected data and increasing demand for systems capable of processing low latency queries worldwide are the primary factors driving the graph database market. The expanding enterprise data volumes coupled with emergent significance to create insight from existing data, contributing to the graph database market's growth. Also, the rising focus on data monetization solutions and high demand for master data management solutions are positively impacting the growth of the graph database market. Moreover, the rapid use of virtualization for big data analytics and technological advancements in graph database technology is likely to provide profitable growth opportunities for key players of the graph database market in the coming years.
The report covers Porter’s Five Forces Model, Market Attractiveness Analysis and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level.
Additionally, these tools also give inclusive assessment of each application/product segment in the global market of graph database .
The entire graph database market is segmented and each segment is analyzed exclusively. The report provides an analysis of these subsets with respect to the geographical segmentation. This research study will keep marketer informed and helps to identify the target demographics for a product or service.
- Managed Services
- Professional Services
- Consulting Services
- Deployment and Integration Services
- Support and Maintenance Services
- Customer Analytics
- Risk and Compliance Management
- Fraud Detection
- Supply Chain Management
- Recommendation Engines
By Deployment Mode
By Organization Size
- Resource Description Framework
- Property Graph
By Industry Vertical
- Large Enterprises
- Small and Medium Enterprises (SMEs)
- Banking Financial Services and Insurance (BFSI)
- Telecom and Information Technology (IT)
- Retail and eCommerce
- Healthcare and Life Sciences
- Government and Public
- Transportation and Logistics
This section covers regional segmentation which accentuates on current and future demand for graph database market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand for individual application segment across all the prominent regions.
Europe Graph Database Market by Revenue (USD MN)
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the graph database market include Oracle, International Business Machines Corporation, Neo Technology Inc., OrientDB , Franz Inc.(AllegroGraph), DataStax Ontotext AD, ArangoDB GmbH, Sparsity Technologies, Objectivity Inc.( InfiniteGraph)., Xinjiang Zhongtai Chemical Co. Ltd.S. This section includes a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
This market research report has been produced by gathering information on the basis of primary and secondary research. Secondary research has been done by using various sources which include (but not limited to) Company Websites, Paid Data Sources, Technical Journals, Financial Reports, SEC Filings, and other different industry publications.
If specific information is required which is not currently within the scope of the report, it can be provided as a part of customization.