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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(The sample of this report is readily available on request. The report sample contains a brief introduction to the research report, a Table of Contents, a Graphical introduction of regional analysis, Top players in the market with their revenue analysis, and our research methodology.)

Key highlights of the report

• Quantitative and qualitative analysis of the market depending on segmentation, including both economic and non-economic factors
• Equipping market value data for each segment and sub-segment
• Recognizes the part and the region that is anticipated to see the swift development and domination of the market
• Examination by geography underscoring the product consumption in the region and designating the factors that are impacting the market within each region
• The competitive landscape includes the market grouping of prominent players together with new product and services launches, business expansion, and accessions in the bygone five years of the company being profiled
• Considerable profiles of the companies embracing company insights, overview, SWOT analysis, and product benchmarking for prominent market players

Top Market Players Are:

• Amazon Web Services Inc.
• ArangoDB
• Bitnine Co Ltd.
• Blazegraph
• Cambridge Semantics
• DataStax
• Dgraph Labs
• 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.
• TigerGraph Inc

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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

Graph database market: Key segmentation

• Insight by component, deployment model, type, application, vertical, and region

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

• What is the market size and growth?
• Which are the critical verticals for acquiring graph database software and services?
• Which are the significant drivers underpinning the development of the graph database market?
• Who are the leading vendors in the graph database market?
• What market segments does the graph database market cover?
• What will be the CAGR and size of the market throughout the forecast period?

The market primarily depends on the component, deployment mode, type, application, vertical, and region

Graph database market: By component

• Software
• Service
• Professional Services
• Managed Services

Graph database market: By deployment mode

• Cloud
• On-Premises

Graph database market: By type

• RDF
• Labeled Property Graph

Graph database market: By application

• Customer Analytics
• Risk, Compliance, and Reporting Management
• Recommendation Engines
• Fraud Detection and Prevention
• Supply Chain Management
• Operations Management and Asset Management
• Infrastructure Management, IoT, Industry 4.0
• Knowledge Management
• Content Management, Data Extraction, and Search
• Metadata and Master Data Management
• Scientific Data Management
• Others

Graph database market: 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

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