Europe Graph Technology Market Size, Share & Industry Trends Analysis Report By Component, By Database Type, By Deployment, By Graph Type, By Analysis Model, By Industry, By Application, By Country and Growth Forecast, 2023 - 2030

Europe Graph Technology Market Size, Share & Industry Trends Analysis Report By Component, By Database Type, By Deployment, By Graph Type, By Analysis Model, By Industry, By Application, By Country and Growth Forecast, 2023 - 2030

The Europe Graph Technology Market would witness market growth of 21.6% CAGR during the forecast period (2023-2030).

E-commerce platforms, content streaming services, and online marketplaces heavily rely on graph technology to power recommendation engines. These systems consider user preferences, behavior, and similar users' preferences to provide personalized product or content recommendations. Graph databases are invaluable for detecting and preventing fraudulent activities. Financial institutions can swiftly identify suspicious activities and take appropriate action by analyzing transaction patterns, account relationships, and deviations from the norm.

Furthermore, it is transforming patient care, medical research, and operational efficiency in the healthcare sector. It creates comprehensive patient records, tracks disease outbreaks, and streamlines clinical workflows. Graph databases play a pivotal role in optimizing transportation and logistics operations. They facilitate route planning, shipment tracking, and vehicle fleet management by modeling complex networks of transportation routes and schedules. Graph technology is used for various applications in academic and research domains.

In addition, as per the Department of Business and Trade data, in 2021, UK start-ups and scale-ups raised £29.4 billion, accounting for over a third of the overall (£89.5 billion) investment into Europe. Nearly £9 billion of all venture capital invested went into start-ups and scale-ups outside of London and the South East, as the amount of money coming into UK tech increased to an all-time high of £29.4 billion in 2021 from £11.5 billion in 2020. Nine of the 29 unicorns created in 2021 have their home in the regions. Therefore, the rising IT and telecom sector in Europe will help in boosting the demand for graph technology in the region.

The Germany market dominated the Europe Graph Technology Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $991.3 million by 2030. The UK market is showcasing a CAGR of 20.5% during (2023 - 2030). Additionally, The France market would register a CAGR of 22.5% during (2023 - 2030).

Based on Component, the market is segmented into Software and Services. Based on Database Type, the market is segmented into Relational (SQL) and Non-relational (No SQL). Based on Deployment, the market is segmented into On-premise and Cloud. Based on Graph Type, the market is segmented into Property Graph, Resource Description Framework (RDF) and Hypergraph. Based on Analysis Model, the market is segmented into Path Analysis, Connectivity Analysis, and Community & Centrality Analysis. Based on Industry, the market is segmented into IT & Telecom, Supply Chain & Logistics, Retail & E-commerce, BFSI, Healthcare & Life Science, Government & Public Sector, and Others. Based on Application, the market is segmented into Data Management & Analysis, Fraud Detection, Customer Analysis, Compliance & Risk, Identity & Access Management, and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Oracle Corporation, IBM Corporation, Neo4j, Inc., Stardog Union, Amazon Web Services, Inc. (Amazon.com, Inc.), Microsoft Corporation, ArangoDB Inc., TigerGraph, Inc., Progress Software Corporation and DataStax, Inc.

Scope of the Study

Market Segments covered in the Report:

By Component

• Software
• Services

By Database Type

• Relational (SQL)
• Non-relational (No SQL)

By Deployment

• On-premise
• Cloud

By Graph Type

• Property Graph
• Resource Description Framework (RDF)
• Hypergraph

By Analysis Model

• Path Analysis
• Connectivity Analysis
• Community & Centrality Analysis

By Industry

• IT & Telecom
• Supply Chain & Logistics
• Retail & E-commerce
• BFSI
• Healthcare & Life Science
• Government & Public Sector
• Others

By Application

• Data Management & Analysis
• Fraud Detection
• Customer Analysis
• Compliance & Risk
• Identity & Access Management
• Others

By Country

• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe

Companies Profiled

• Oracle Corporation
• IBM Corporation
• Neo4j, Inc.
• Stardog Union
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• Microsoft Corporation
• ArangoDB Inc.
• TigerGraph, Inc.
• Progress Software Corporation
• DataStax, Inc.

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