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Global Graph Databases Market

Global Graph Databases Market By Component (Software and Services), By Type (Relational {SQL} and Non-Relational {NoSQL}), By Analysis Type (Community Analysis, Connectivity Analysis, Centrality Analysis and Path Analysis), By Deployment (Cloud and On-Premise), By Application (Identity and Access Management, Customer Analytics, Recommendation Engine, Master Data Management, Privacy and Risk Compliance, Fraud Detection and Risk Management and others), By End-User (Banking, Financial Services and Insurance {BFSI}, IT & Telecommunication, Retail, Healthcare, Life Science, Media & Entertainment, Government and others), By Region (North America, Europe, Asia-Pacific, South America and The Middle East & Africa)-Global Forecast to 2028.

Frequently Asked Questions (FAQ):

Graph Database uses graph formats for semantic queries with nodes, edges, and effects to represent and store data. Each node denotes an entity (a person or business), and each edge represents a connection or relationship between two nodes. Graph databases are technologies that are translations of the relational OLTP (online transaction processing) databases.

The global graph database market was USD 1.9 billion in 2021 to USD 7.1 billion by 2028, growing with a CAGR of 22.5% during the forecast period of 2022-2028.

The companies DataStax, Franz Inc., Neo4j, Inc., Oracle Corporation, OrientDB, MongoDB, Objectivity Inc., Stardog Union Inc., Teradata Corporation, and Microsoft, are the key players in the global graph databases market.

Though the COVID–19 period has thrown light on weaknesses in business standards across verticals, it has presented several digitalization opportunities. The retail and manufacturing sectors encountered a significant drop in business performance during the first and second quarters of 2020.

North America region is expected to have significant CAGR and market growth during the forecast period.

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