This Graph Database market report has been prepared by considering several fragments of the present and upcoming market scenario. The market insights gained through this market research analysis report facilitates more clear understanding of the market landscape, issues that may interrupt in the future, and ways to position definite brand excellently. It consists of most-detailed market segmentation, thorough analysis of major market players, trends in consumer and supply chain dynamics, and insights about new geographical markets. The market insights covered in Graph Database  report simplifies managing marketing of goods and services effectively.

Data Bridge Market Research analyses that the Global Graph Database market size was valued at  USD 2.29 billion in 2023 and is projected to reach USD 8.72 billion by 2031, with a CAGR of 18.20% during the forecast period of 2024 to 2031.

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Market Overview:

A graph database is a type of NoSQL database designed to store, manage, and query highly interconnected data. Unlike traditional relational databases that organize data in rows and tables, graph databases use nodes, edges, and properties to represent and connect data points directly. Nodes represent entities (such as people or products), edges represent relationships between these entities, and properties store relevant details about both. This structure allows graph databases to quickly and efficiently analyze complex relationships, making them ideal for applications such as social networks, fraud detection, recommendation engines, and network analysis where understanding data connections is essential.              

Some of the major players operating in the Graph Database  market are Hewlett Packard Enterprise Development LP (U.S.), IBM (U.S.), Microsoft (U.S.), Siemens (Germany), ANSYS, Inc. (U.S.), SAP SE (Germany), Oracle (U.S.), Robert Bosch GmbH (Germany), Atos SE (France), ABB (Switzerland), Kellton (India), AVEVA Group Limited (U.K.), DXC Technology Company (U.S.), Altair Engineering, Inc. (U.S.), Hexaware Technologies Limited (India), Tata Consultancy Services Limited (India), Infosys Limited (India), NTT DATA Group Corporation (Japan), Cloud Software Group, Inc. (U.S.), Redis Ltd (U.S.)  among others.

Global Graph Database  Market Scope

The market is segmented on the basis of type, application, database, deployment model, analysis type, size, component, and end user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

  Type

· Resource Description Framework (RDF)

· Labeled Property Graph (LPG)

Application

· Fraud Detection

· Prevention

· Recommendation Engine

Database

· Relational (SQL)

· Non-relational (NoSQL)

Deployment Model

· On-premise

· Cloud

Analysis Type

· Path Analysis

· Connectivity Analysis

· Community Analysis

· Centrality Analysis

Size

· Large Enterprises

· Small and Medium Enterprises

Component

· Software

· Services

End User

· Banking

· Financial Services and Insurance

· Telecom and IT

· Healthcare and Lifesciences

· Transportation and Logistics

· Retail and E-commerce

· Energy and Utilities

· Government and Public

· Manufacturing

· Others

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Table of Content:

Part 01: Executive Summary

Part 02: Scope of the Report

Part 03: Global Graph Database Market Landscape

Part 04: Global Graph Database  Market Sizing

Part 05: Global Graph Database  Market Segmentation By Product

Part 06: Five Forces Analysis

Part 07: Customer Landscape

Part 08: Geographic Landscape

Part 09: Decision Framework

Part 10: Drivers and Challenges

Part 11: Market Trends

Part 12: Vendor Landscape

Part 13: Vendor Analysis

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