According to the research report, the global graph database market size & share was valued at USD 1.93 billion in 2021 and is expected to reach USD 11.60 Billion by 2030, to grow at a CAGR of 23.1% during the forecast period.
Graph databases are tailor-made to hoard and traverse relationships. In a graph database, relationships are first-class citizens, and the majority of the standards of a graph database originate from these relationships. To store data entities, the graph database uses nodes, and to keep the relationship between entities, it uses edges. An edge always has a start node, end node, direction, and type. At the same time, the edge can recount parent-child relationships, ownership, and actions. There is no end limit to the numeral and the kind of relationship a node can possess.
A graph in a graph database can be negotiated along with particular edge types or complete graphs. The graph database spanning the relationships and joins is extremely speedy as the relation between nodes is not computed at the interrogation times but persevered in the database. Graph database are effectively applied in use cases like recommendation engines, social networking, and detection of fraud which happens when relationships are required to be created between data and speedily interrogate these relationships.
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Top Market Players Are:
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Graph database market: Growth leading factors
Graph database simplifies the dispensation of any data beyond cloud regions and data centers, rendering business applications surmount and competent to create real-time insights and experiences. Additionally, it assists exhibit insights through data visualization and offers a prediction that is real-time for data that is streaming. Therefore, the graph database is used to intensify business processes, upgrade decision-making, and realize the capacity to optimize, automate, and direct decisions as per the demands to set business goals.
Graph databases are prominently outlined for data that is highly interconnected. It operates optimally when data is linked and should be pictured by how it connects or indicates alternative data. For instance, the requisition of graph database technology in the social network. Further, the graph database technology offers innumerable benefits for highly secured data compared to other relational databases involving improved flexibility, enhanced performance, and simplified data modeling, which is anticipated to provide profitable chances for the graph database market.
The covid-19 pandemic has shown that interrelation plays a crucial role in cooperation that is international. Therefore, many governments have begun charging toward evaluating, recognizing, and acquiring reliable solutions powered by Artificial Intelligence. During the pandemic, AI has assisted organizations in engaging customers through digital channels, handling light and complicated supply chains, and supporting workers through disturbances to their lives and work.
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Graph database market: Report Scope
Report Attribute
Details
Market Size 2021 Value
USD 1.93 billion
Market Outlook for 2030
USD 11.60 billion
Expected CAGR Growth
23.1% from 2022 – 2030
Base year
2021
Forecast period
2022 – 2030
Segments covered
By Component, By Deployment Mode, By Type, By Application, By Vertical, By Region
Key Companies
Amazon Web Services, Inc., ArangoDB, Bitnine Co, Ltd., Blazegraph, Cambridge Semantics, DataStax, Eccenca, Fluree, Franz Inc., Hewlett Packard Enterprise, IBM Corporation, MarkLogic Corporation, Microsoft, MongoDB, Neo4j, Inc., Objectivity Inc., Openlink Software, Oracle Corporation, OrientDB, Redis Labs, SAP SE, Stardog Union Inc., Teradata Corporation, TIBCO Software, Inc., and TigerGraph, Inc.
Regional scope
North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Customization Options
Customized purchase options are available to meet your research needs.
Graph database market: Key segmentation
By component, the software segment is anticipated to account for the larger market size because of the data being analyzed by software-generated from sensors, IoT devices, social media platforms, and clickstreams. By deployment model, the on-premises segment will rule the market because the business is provided with a network that is local and is always obtainable, notwithstanding the availability of the internet connection. The resource description framework segment is anticipated to progress in revenue by type. It is linked to enormous data sources; companies use and create RDF depictions in the graph database. By application, fraud detection and risk management will rule the market as there is increasing usage of graph databases for security across several industries. By vertical, BFSI segment revenue is anticipated to inflate rapidly due to the increasing application of graph database solutions in banks.
By region, North America is emerging as a dominant region compared to other regional markets as these countries are highly dependent on data, augmenting the usage of graph database solutions in these businesses. With growing numbers of manufacturing businesses, there is an increase in IoT devices, and increasing investments in surfacing technologies like machine learning are anticipated to uplift the demand for graph database solutions. The Asia Pacific is also a region witnessing steady growth. There is an outburst of telecom and IT, healthcare, BFSI, e-commerce and retail, logistics and transportation industries, and manufacturing in countries like India, China, Japan, and South Korea. Firms’ growing usage of big data in such countries is anticipated to escalate the graph database market.
Browse the full “Graph Database Market Share, Size, Trends, Industry Analysis Report, By Component By Type; By Application, By Vertical (BFSI, Retail and e-commerce, Telecom and IT, Healthcare, Pharmaceuticals, and Life Sciences, Government and Public Sector, Manufacturing and Automotive, Media and Entertainment, Energy and Utilities, Travel and Hospitality, Transportation and Logistics, Others); By Region; Segment Forecast, 2022 – 2030” Report at https://www.polarismarketresearch.com/industry-analysis/graph-database-market
Important Questions Being Answered by The Market Report
The market primarily depends on the component, deployment mode, type, application, vertical, and region
Graph database market: By component
Graph database market: By deployment mode
Graph database market: By type
Graph database market: By application
Graph database market: By vertical
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