Global Graph Database Market - Industry Analysis Size Share Growth Trends and Forecast 2024 - 2031

Global Graph Database Market - Industry Analysis Size Share Growth Trends and Forecast 2024 - 2031

  • ID :
    SAC9239047
  • Published Date :
    Dec 2024
  • Number of Pages :
    300+

Year Considered

2019 to 2022: Historic Years

2023: Base Year

2024: Estimated Year

2025 to 2031: Projected Years

Product Description

In computing, a graph database is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. A key concept of the system is the graph (or edge or relationship), which directly relates data items in the store. The relationships allow data in the store to be linked together directly, and in many cases retrieved with one operation. The Graph Database market revenue was xx Million USD in 2019, grew to xx Million USD in 2023, and will reach xx Million USD in 2031, with a CAGR of xx during 2024-2031. Considering the influence of COVID-19 on the global Graph Database market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions. This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery. Under COVID-19 Outbreak, how the Graph Database Industry will develop is also analyzed in detail in Chapter 1.8 of this report. Major Players in Graph Database market are: Cayley Marklogic OrientDB Ltd HyperGraphDB Cray Twitter(FlockDB) Bitnine Global Teradata(SQL-GR) Oracle Apache Tibco Software Microsoft SAP AWS triAGENS GmbH(Arango DB) Franz Inc(AllegroGraph) Titan MarkLogic IBM Datastax Neo4j Most important types of Graph Database products covered in this report are: RDF Property Graph Most widely used downstream fields of Graph Database market covered in this report are: Risk Management & Fraud Detection Customer Analytics Recommendation Engines Others Major Regions or countries covered in this report: North America Europe China Japan Middle East and Africa South America India South Korea Southeast Asia Others In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations. In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out. In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.

Get in Touch

We work with firms all across the US and Europe

Security Code:

Select Access

Trusted by

Testimonial

Get in Touch with Us