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市场调查报告书
商品编码
1519339

2024-2032 年按组件、资料库类型（关係型、非关係型）、分析类型、部署模型、应用程式、行业垂直和区域分類的图数据库市场报告

Graph Database Market Report by Component, Type of Database (Relational, Non-Relational ), Analysis Type, Deployment Model, Application, Industry Vertical, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 138 Pages | 商品交期: 2-3个工作天内

价格

2023年全球图资料库IMARC Group规模达17亿美元。网路安全中越来越多地采用图形资料库进行威胁侦测和网路分析，对即时分析和人工智慧驱动的见解不断增长的需求，以及在医疗保健和金融等行业中不断扩大的资料整合和个人化服务应用程序，都是其中的一些因素促进图资料库市场成长的关键因素。

图资料库市场分析：

主要市场驱动因素：图资料库解决方案在零售、资讯科技(IT)、电信、製造、运输以及银行、金融服务和保险(BFSI) 等不同产业垂直领域的使用不断增加，是推动这一趋势的关键因素之一。

主要市场趋势：全球范围内越来越多地采用基于人工智慧 (AI) 的图形资料库工具，这是推动市场成长的重要趋势之一。

竞争格局：一些领先的图形资料库市场公司包括 Amazon Web Services Inc. (Amazon.com Inc.)、Datastax Inc.、Franz Inc.、International Business Machines Corporation、Marklogic Corporation、Microsoft Corporation、Neo4j Inc.、Objectivity Inc. .、Oracle Corporation、Stardog Union、Tibco Software Inc. 和Tigergraph Inc. 等。

地理趋势：根据报告，北美目前在全球市场上占据主导地位。该地区技术使用的扩大是推动图数据库市场成长的主要原因之一。 IBM、微软、Neo4j 和 Oracle 等图资料库厂商在北美的扩张预计将进一步推动市场扩张。

挑战与机会：图资料库市场的挑战包括资料隐私问题、从关联式资料库迁移的复杂性以及对熟练人员的需求。机会在于解决不断发展的用例，例如诈欺检测、个人化推荐系统和知识图应用程序，从而推动创新和市场扩张。

图资料库市场趋势：

数据量和复杂度不断增加

推动市场成长的主要因素之一是世界各地众多组织产生的资料量不断增加。随着下一代技术的出现和互联设备的激增，企业正在从各种来源产生大量资料，包括社交媒体、客户互动、物联网设备、交易和云端运算。例如，据思科称，资料联网在 2019 年产生了约 507.5 zetta位元组的资料。由不安全的机构造成的。为此，公司越来越多地整合图形资料库解决方案，以从资料中获得有价值的见解，并透过提供资料清理、验证和丰富功能来确保资料的安全性和准确性。反过来，预计这将推动未来几年图资料库市场的需求。

增加产品供应

各个主要参与者正在推出各种图资料库解决方案，以满足不同的用例和要求。例如，2024 年 4 月，Neo4j 与 Google Cloud 合作，为 GenAI 应用程式推出了新的 GraphRAG 功能。此次发布将加速生成式人工智慧应用程式在几个关键阶段的开发和部署。这些结果解决了企业在建立和部署成功的 GenAI 应用程式时遇到的复杂性和幻觉问题，这些应用程式需要即时、上下文丰富的资料和准确、可解释的结果。同样，2023 年 12 月，亚马逊网路服务 (AWS) 推出了一款新的分析资料库引擎，该引擎结合了向量搜寻和图形资料的强大功能。这项名为 Amazon Neptune Analytics 的新服务在拉斯维加斯举行的再投资会议上正式发表。这项新服务采用即用即付模式，无需一次性安装费或定期订阅费用。它现已在部分 AWS 区域推出，包括美国东部、美国西部、亚太地区和欧洲。图资料库的此类创新预计将在未来几年推动图资料库的市场份额。

产品在各行业的应用不断成长

图数据库正在被各个行业采用，包括金融、医疗保健、零售、物流和製造，以解决特定的用例和业务挑战。例如，2024年1月，全球製药公司施维雅的研发部门开始利用图技术来缩短药物研究时间并提高候选药物在临床阶段的成功率。该公司正在使用名为 Pegasus 的 Neo4j 图表，这使他们能够更好地组织和探测第三方和专有资料。同样，金融领域也越来越多地使用图数据库来检测和防止诈欺活动，也催化了图数据库市场的近期价格。例如，Amazon Neptune 等图形资料库越来越多地用于执行查询，因为它们可以同时遍历资料并执行计算。图形表示多连接网路上的交易和各方，并发现连接模式和链。因此，图资料库被广泛用于反洗钱（AML）应用程序，因为它们可以帮助发现可疑交易的模式。

全球图资料库市场细分：

IMARC Group提供了全球图资料库市场报告每个细分市场的主要趋势分析，以及 2024 年至 2032 年全球、区域和国家层面的预测。我们的报告根据组件、资料库类型、分析类型、部署模型、应用程式和垂直行业对市场进行了分类。

按组件划分：

软体

服务

软体占最大的市场份额

根据组件，全球图数据库市场可分为软体和服务。报告称，软体占据了最大的市场份额。

此细分市场的成长可归因于众多公司越来越多地采用软体即服务 (SaaS) 来管理其复杂资料。此外，IMARC 的图形资料库市场统计数据表明，软体部署通常涉及预付费用或订阅费，从长远来看，这可能更具成本效益，特别是对于有持续资料管理需求的组织而言。

依资料库类型细分：

关係型（SQL）

非关係型 (NoSQL)

关係型（SQL）资料库在市场上表现出明显的主导地位

根据资料库类型，全球图资料库市场可分为关係型（SQL）和非关係型（NoSQL）。报告指出，关係型（SQL）资料库在市场上表现出明显的主导地位。

将关係 (SQL) 资料库与图形资料库整合可以利用这两种模型的优势。 SQL资料库擅长结构化资料储存和复杂查询，而图资料库擅长管理和查询复杂关係。将它们结合起来可以实现结构化资料的高效储存以及关係的灵活表示和遍历，从而为不同的资料管理需求提供全面的解决方案。这种整合有助于跨广泛用例的无缝资料分析、见解生成和应用程式开发，从而增强整体敏捷性和可扩展性。

按分析类型细分：

路径分析

连通性分析

社区分析

中心性分析

路径分析占据大部分市场份额

根据分析类型，全球图资料库市场可分为路径分析、连结性分析、社群分析和中心性分析。根据图资料库市场报告，路径分析占据了大部分市场份额。

图资料库中的路径分析涉及遍历节点之间的关係以识别感兴趣的模式或路径。它可以查询和分析节点和边的序列，以发现见解或回答有关资料的特定问题。路径分析对于推荐系统、诈欺侦测和网路分析等任务至关重要，可以为互连资料的结构和行为提供有价值的见解。透过检查图表中的路径，组织可以得出可行的见解，并根据潜在关係做出明智的决策。

按部署模型划分：

本地

基于云端

本地模式占据大部分市场份额

根据部署模型，全球图资料库市场可分为本地图资料库市场和基于云端的图资料库市场。报告显示，本地模式占据了大部分市场份额。

图资料库的本机部署涉及在组织自己的资料中心或基础设施内安装和管理资料库软体。与基于云端的替代方案相比，这种方法可以更好地控制资料安全性、合规性和效能。对于监管要求严格或资料敏感的行业，首选本地部署，为资料管理和处理提供专用环境。例如，BFSI 领域的各种公司越来越多地在自己的资料中心内部署图资料库，这对图资料库市场前景产生了积极影响。总部位于曼哈顿的 FinTech Current's 越来越多地利用图形资料库技术为客户建立新的金融服务，并基于个人及其家庭关係的综合视图创建一套「混合金融」产品。除此之外，图形资料库的本地部署允许组织利用现有基础设施投资并根据其特定需求和偏好自订部署。

按应用划分：

诈欺侦测和风险管理

主资料管理

客户分析

身分和存取管理

推荐引擎

隐私和风险合规

其他的

根据应用程序，全球图资料库市场可以细分为诈欺侦测和风险管理、主资料管理、客户分析、身分和存取管理、推荐引擎、隐私和风险合规性等。

图资料库广泛应用于银行和金融领域，以侦测和防止诈欺活动。例如，Amazon Neptune 等图形资料库越来越多地用于执行查询，因为它们可以同时遍历资料并执行计算。图形表示多连接网路上的交易和各方，并发现连接模式和链。因此，图资料库广泛用于反洗钱（AML）应用程序，因为它们可以帮助发现可疑交易的模式。除此之外，对资料合规性的需求以及知名公司越来越多地使用主资料管理解决方案来改善业务营运可能会推动图资料库市场的收入。

按垂直行业细分：

BFSI

零售与电子商务

资讯科技和电信

医疗保健和生命科学

政府和公共部门

媒体与娱乐

製造业

运输与物流

其他的

IT和电信业占据最大的市场份额

根据垂直行业，全球图数据库市场已细分为 BFSI、零售和电子商务、IT 和电信、医疗保健和生命科学、政府和公共部门、媒体和娱乐、製造、运输和物流等。报告显示，IT和电信业占据了最大的市场份额。

在IT和电信行业，图资料库用于网路拓扑管理、故障分析和服务发放。它们可以即时监控网路基础设施、识别瓶颈并优化资源分配。图资料库还透过绘製客户、服务和设备之间的复杂互动来促进客户关係管理，从而提高服务个人化和故障排除效率。

按地区划分：

北美洲

美国

加拿大

亚太

中国

日本

印度

韩国

澳洲

印尼

其他的

欧洲

德国

法国

英国

义大利

西班牙

俄罗斯

其他的

拉丁美洲

巴西

墨西哥

其他的

中东和非洲

北美目前主导全球市场

市场研究报告还对所有主要区域市场进行了全面分析，其中包括北美（美国和加拿大）；亚太地区（中国、日本、印度、韩国、澳洲、印尼等）；欧洲（德国、法国、英国、义大利、西班牙、俄罗斯等）；拉丁美洲（巴西、墨西哥等）；以及中东和非洲。报告称，北美目前在全球市场占据主导地位。

该地区技术使用的不断扩大是推动北美图数据库市场成长的主要原因之一。 IBM、微软、Neo4j、Oracle 等图资料库厂商在该地区的扩张预计将进一步推动市场扩张。此外，IMARC的图数据库市场概况表明，主要区域经济体研发支出的成长正在帮助北美图数据库市场新技术的发展。例如，2022 年 6 月，统一资料管理和治理解决方案提供商 Ataccama 在一轮成长资本投资中获得了 1.5 亿美元，这笔资金用于资助该公司开发新产品和扩大市场份额。

本报告回答的关键问题

  • 2023年全球图资料库市场规模有多大？
  • 2024-2032年全球图资料库市场的预期成长率是多少？
  • 推动全球图数据库市场的关键因素是什么？
  • COVID-19 对全球图资料库市场有何影响？
  • 基于组件的全球图资料库市场细分是怎样的？
  • 根据资料库类型，全球图资料库市场的细分情况如何？
  • 根据分析类型，全球图资料库市场的细分情况如何？
  • 基于部署模型，全球图资料库市场的细分如何？
  • 全球图资料库市场依产业垂直划分如何？
  • 全球图资料库市场的重点区域有哪些？
  • 全球图资料库市场的主要参与者/公司有哪些？

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 资料来源
    • 主要资源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球图资料库市场

  • 市场概况
  • 市场业绩
  • COVID-19 的影响
  • 市场预测

第 6 章：市场区隔：按组成部分

  • 软体
    • 市场走向
    • 市场预测
  • 服务
    • 市场走向
    • 市场预测

第 7 章：市场细分：按资料库类型

  • 关係型（SQL）
    • 市场走向
    • 市场预测
  • 非关係型 (NoSQL)
    • 市场走向
    • 市场预测

第 8 章：市场区隔：按分析类型

  • 路径分析
    • 市场走向
    • 市场预测
  • 连通性分析
    • 市场走向
    • 市场预测
  • 社区分析
    • 市场走向
    • 市场预测
  • 中心性分析
    • 市场走向
    • 市场预测

第 9 章：市场区隔：依部署模型

  • 本地
    • 市场走向
    • 市场预测
  • 基于云端
    • 市场走向
    • 市场预测

第 10 章：市场区隔：按应用

  • 诈欺侦测和风险管理
    • 市场走向
    • 市场预测
  • 主资料管理
    • 市场走向
    • 市场预测
  • 客户分析
    • 市场走向
    • 市场预测
  • 身分和存取管理
    • 市场走向
    • 市场预测
  • 推荐引擎
    • 市场走向
    • 市场预测
  • 隐私和风险合规
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 11 章：市场区隔：依垂直产业

  • BFSI
    • 市场走向
    • 市场预测
  • 零售与电子商务
    • 市场走向
    • 市场预测
  • 资讯科技和电信
    • 市场走向
    • 市场预测
  • 医疗保健和生命科学
    • 市场走向
    • 市场预测
  • 政府和公共部门
    • 市场走向
    • 市场预测
  • 媒体与娱乐
    • 市场走向
    • 市场预测
  • 製造业
    • 市场走向
    • 市场预测
  • 运输与物流
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 12 章：市场区隔：按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲
    • 市场走向
    • 市场细分：按国家/地区
    • 市场预测

第 13 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 14 章：价值链分析

第 15 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 16 章：价格分析

第17章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Amazon Web Services Inc. (Amazon.com Inc.)
    • Datastax Inc.
    • Franz Inc.
    • International Business Machines Corporation
    • Marklogic Corporation
    • Microsoft Corporation
    • Neo4j Inc.
    • Objectivity Inc.
    • Oracle Corporation
    • Stardog Union
    • Tibco Software Inc.
    • Tigergraph Inc.
Product Code: SR112024A5170

The global graph database market size reached US$ 1.7 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 7.8 Billion by 2032, exhibiting a growth rate (CAGR) of 18.3% during 2024-2032. The increasing adoption of graph databases in cybersecurity for threat detection and network analysis, growing demand for real-time analytics and AI-driven insights, and expanding application in industries, such as healthcare and finance, for data integration and personalized services, are some of the key factors catalyzing the graph database market growth.

Graph Database Market Analysis:

Major Market Drivers: The rising usage of graph database solutions in different industry verticals, such as retail, information technology (IT), telecommunications, manufacturing, transportation, and banking, financial services and insurance (BFSI), represents one of the key factors propelling the market growth.

Key Market Trends: The growing adoption of artificial intelligence (AI)-based graph database tools across the world is one of the significant key trends driving the growth of the market.

Competitive Landscape: Some of the leading graph database market companies are Amazon Web Services Inc. (Amazon.com Inc.), Datastax Inc., Franz Inc., International Business Machines Corporation, Marklogic Corporation, Microsoft Corporation, Neo4j Inc., Objectivity Inc., Oracle Corporation, Stardog Union, Tibco Software Inc., and Tigergraph Inc., among others.

Geographical Trends: According to the report, North America currently dominates the global market. The expanding use of technology in the region is one of the main reasons promoting the growth of the graph database market. The expansion of graph database players across North America, such as IBM, Microsoft, Neo4j, and Oracle., is anticipated to drive market expansion further.

Challenges and Opportunities: Challenges in the graph database market include data privacy concerns, complexity in migrating from relational databases, and the need for skilled personnel. Opportunities lie in addressing evolving use cases such as fraud detection, personalized recommendation systems, and knowledge graph applications, driving innovation and market expansion.

Graph Database Market Trends:

Rising Volume and Complexity of Data

One of the primary factors driving the growth of the market is the increasing volume of data generated by numerous organizations across the world. With the advent of next-generation technologies and the proliferation of connected devices, businesses are producing vast amounts of data from various sources, including social media, customer interaction, IoT devices, transactions, and cloud computing. For instance, according to Cisco, the IoT generated approximately 507.5 zettabytes of data in 2019. A survey by the Ponemon Institute and the Shared Assessments Program also shared that at least 81% of risk oversight and corporate governance professionals believe data breaches happened by an unsecured IoT device within their company. In response to this, companies are increasingly integrating graph database solutions to drive valuable insights from the data and ensure the security and accuracy of their data by providing data cleansing, validation, and enrichment capabilities. This, in turn, is projected to fuel the graph database market demand in the coming years.

Increasing Product Offerings

Various key players are introducing a variety of graph database solutions catering to different use cases and requirements. For instance, in April 2024, Neo4j partnered with Google Cloud to launch new GraphRAG capabilities for GenAI applications. This launch will speed up generative AI application development and deployment across several crucial stages. The results solve a problem for enterprises that struggle with complexity and hallucinations when building and deploying successful GenAI applications requiring real-time, contextually rich data and accurate, explainable results. Similarly, in December 2023, Amazon Web Services (AWS) launched a new analytics database engine that combines the power of vector search and graph data. The general availability of the new service, named Amazon Neptune Analytics, was unveiled at the re-invest conference in Las Vegas. The new service is available as a pay-as-you-go model with no one-time setup fees or recurring subscriptions. It is now available in some AWS regions, including the US East, the US West, Asia Pacific, and Europe. Such innovations in graph databases are anticipated to propel the graph database market share in the coming years.

Growing Product Application across Various Industries

Graph databases are being adopted across various industries, including finance, healthcare, retail, logistics, and manufacturing, to address specific use cases and business challenges. For instance, in January 2024, the R&D arm of global pharmaceutical company Servier started to utilize graph technologies to cut drug research time and improve the success rate of drug candidates in the clinical phase. The company is using Neo4j's graph called Pegasus, which allows them to better organize and probe both third-party and proprietary data. Similarly, the escalating utilization of graph databases in the financial sector to detect and prevent fraudulent activities is also catalyzing the graph database market's recent price. For instance, graph databases such as Amazon Neptune are increasingly being used to perform queries because they can traverse the data and perform calculations simultaneously. Graphs represent transactions and parties over a multi-connected network and discover patterns and chains of connections. As a result, graph databases are extensively being used in anti-money laundering (AML) applications since they can help find patterns of suspicious transactions.

Global Graph Database Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global graph database market report, along with forecasts at the global, regional, and country levels from 2024-2032. Our report has categorized the market based on component, type of database, analysis type, deployment model, application, and industry vertical.

Breakup by Component:

Software

Services

Software represents the largest market share

Based on the component, the global graph database market can be segmented into software and services. According to the report, software represents the largest market share.

The growth of the segment can be attributed to the increasing adoption of software-as-a-service (SaaS) by numerous companies to manage their complex data. Moreover, graph database market statistics by IMARC indicate that software deployment often involves upfront licensing or subscription fees, which can be more cost-effective in the long run, especially for organizations with ongoing data management needs.

Breakup by Type of Database:

Relational (SQL)

Non-Relational (NoSQL)

Relational (SQL) database exhibits a clear dominance in the market

Based on the type of database, the global graph database market can be segmented into relational (SQL) and non-relational (NoSQL). According to the report, relational (SQL) database exhibits a clear dominance in the market.

Integrating relational (SQL) databases with graph databases allows for leveraging the strengths of both models. SQL databases excel in structured data storage and complex queries, while graph databases specialize in managing and querying complex relationships. Combining them enables efficient storage of structured data alongside flexible representation and traversal of relationships, offering a comprehensive solution for diverse data management needs. This integration facilitates seamless data analysis, insights generation, and application development across a wide range of use cases, enhancing overall agility and scalability.

Breakup by Analysis Type:

Path Analysis

Connectivity Analysis

Community Analysis

Centrality Analysis

Path analysis holds the majority of the total market share

Based on the analysis type, the global graph database market can be segmented into path analysis, connectivity analysis, community analysis, and centrality analysis. According to the graph database market report, path analysis holds the majority of the total market share.

Path analysis in graph databases involves traversing the relationships between nodes to identify patterns or paths of interest. It enables querying and analyzing the sequence of nodes and edges to uncover insights or answer specific questions about the data. Path analysis is crucial for tasks like recommendation systems, fraud detection, and network analysis, offering valuable insights into the structure and behavior of interconnected data. By examining paths within the graph, organizations can derive actionable insights and make informed decisions based on the underlying relationships.

Breakup by Deployment Model:

On-premises

Cloud-based

On-premises model accounts for the majority of the total market share

Based on the deployment model, the global graph database market can be segmented into on-premises and cloud-based. According to the report, on-premises model accounts for the majority of the total market share.

On-premises deployment of graph databases involves installing and managing the database software within an organization's own data center or infrastructure. This approach offers greater control over data security, compliance, and performance compared to cloud-based alternatives. On-premises deployment is preferred in industries with strict regulatory requirements or sensitive data concerns, providing a dedicated environment for data management and processing. For instance, various companies operating in the BFSI sector are increasingly deploying graph databases within their own data centers, which is positively impacting the graph database market outlook. Manhattan-based FinTech Current's is increasingly utilizing graph database technology to build new financial services for customers and creating a set of 'hybrid finance' products based on integrated views of individuals and their family connections. Besides this, on-premises deployment of graph databases allows organizations to leverage existing infrastructure investments and tailor the deployment to their specific needs and preferences.

Breakup by Application:

Fraud Detection and Risk Management

Master Data Management

Customer Analytics

Identity and Access Management

Recommendation Engine

Privacy and Risk Compliance

Others

Based on the application, the global graph database market can be segmented into fraud detection and risk management, master data management, customer analytics, identity and access management, recommendation engine, privacy and risk compliance, and others.

Graph databases are widely used in the banking and financial sector to detect and prevent fraudulent activities. For instance, graph databases such as Amazon Neptune are increasingly being used to perform queries, because they can traverse the data and perform calculations simultaneously. Graphs represent transactions and parties over a multi-connected network and discover patterns and chains of connections. As a result, graph databases are extensively being used in anti-money laundering (AML) applications, since they can help find patterns of suspicious transactions. Besides this, the demand for data compliance and the growing usage of master data management solutions in prominent companies to improve business operations is likely to fuel the graph database market revenue.

Breakup by Industry Vertical:

BFSI

Retail and E-Commerce

IT and Telecom

Healthcare and Life Science

Government and Public Sector

Media and Entertainment

Manufacturing

Transportation and Logistics

Others

IT and telecom industry represents the largest market share

Based on the industry vertical, the global graph database market has been segmented into BFSI, retail and e-commerce, IT and telecom, healthcare and life science, government and public sector, media and entertainment, manufacturing, transportation and logistics, and others. According to the report, the IT and telecom industry represents the largest market share.

In the IT and telecom industry, graph databases are utilized for network topology management, fault analysis, and service provisioning. They enable real-time monitoring of network infrastructure, identifying bottlenecks, and optimizing resource allocation. Graph databases also facilitate customer relationship management by mapping complex interactions between customers, services, and devices, enhancing service personalization and troubleshooting efficiency.

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America currently dominates the global market

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America currently dominates the global market.

The expanding use of technology in the region is one of the main reasons promoting the growth of the graph database market in North America. The expansion of graph database players across the region, such as IBM, Microsoft, Neo4j, Oracle, etc., is anticipated to drive market expansion further. Moreover, the graph database market overview by IMARC indicates that the growth of R&D spending by significant regional economies is helping the development of new technologies in the North America graph database market. For instance, in June 2022, Ataccama, a unified data management and governance solutions provider, secured US$150 Million in a growth capital investment round, money that was used to finance the company's efforts to develop new products and expand its market presence.

Competitive Landscape:

The market research report has provided a comprehensive analysis of the competitive landscape and outlook. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Amazon Web Services Inc. (Amazon.com Inc.)

Datastax Inc.

Franz Inc.

International Business Machines Corporation

Marklogic Corporation

Microsoft Corporation

Neo4j Inc.

Objectivity Inc.

Oracle Corporation

Stardog Union

Tibco Software Inc.

Tigergraph Inc.

(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Graph Database Market Recent Developments:

March 2024: PuppyGraph, a pioneering force in graph database analysis, launched the first and only graph query engine, transforming traditional data storage into dynamic graph engines. This innovation simplifies data storage, obsoleting graph database complexities and streamlining AI integration for advanced analytics and Large Language Models (LLMs).

March 2024: Neo4j, a graph database and analytics leader, announced a collaboration with Microsoft to deliver a unified data offering that addresses customer's data need for generative AI (GenAI).

December 2023: Amazon Web Services (AWS) launched a new analytics database engine that combines the power of vector search and graph data. The general availability of the new service, named Amazon Neptune Analytics, was unveiled at the re-Invest conference in Las Vegas. The new service is available as a pay-as-you-go model with no one-time setup fees or recurring subscriptions. It is now available in some AWS regions, including the US East, the US West, Asia Pacific, and Europe.

Key Questions Answered in This Report

  • 1. What was the size of the global graph database market in 2023?
  • 2. What is the expected growth rate of the global graph database market during 2024-2032?
  • 3. What are the key factors driving the global graph database market?
  • 4. What has been the impact of COVID-19 on the global graph database market?
  • 5. What is the breakup of the global graph database market based on the component?
  • 6. What is the breakup of the global graph database market based on the type of database?
  • 7. What is the breakup of the global graph database market based on the analysis type?
  • 8. What is the breakup of the global graph database market based on the deployment model?
  • 9. What is the breakup of the global graph database market based on the industry vertical?
  • 10. What are the key regions in the global graph database market?
  • 11. Who are the key players/companies in the global graph database market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Graph Database Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Type of Database

  • 7.1 Relational (SQL)
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Non-Relational (NoSQL)
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Analysis Type

  • 8.1 Path Analysis
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Connectivity Analysis
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Community Analysis
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Centrality Analysis
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast

9 Market Breakup by Deployment Model

  • 9.1 On-premises
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Cloud-based
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast

10 Market Breakup by Application

  • 10.1 Fraud Detection and Risk Management
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 Master Data Management
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 Customer Analytics
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Identity and Access Management
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Recommendation Engine
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 Privacy and Risk Compliance
    • 10.6.1 Market Trends
    • 10.6.2 Market Forecast
  • 10.7 Others
    • 10.7.1 Market Trends
    • 10.7.2 Market Forecast

11 Market Breakup by Industry Vertical

  • 11.1 BFSI
    • 11.1.1 Market Trends
    • 11.1.2 Market Forecast
  • 11.2 Retail and E-Commerce
    • 11.2.1 Market Trends
    • 11.2.2 Market Forecast
  • 11.3 IT and Telecom
    • 11.3.1 Market Trends
    • 11.3.2 Market Forecast
  • 11.4 Healthcare and Life Science
    • 11.4.1 Market Trends
    • 11.4.2 Market Forecast
  • 11.5 Government and Public Sector
    • 11.5.1 Market Trends
    • 11.5.2 Market Forecast
  • 11.6 Media and Entertainment
    • 11.6.1 Market Trends
    • 11.6.2 Market Forecast
  • 11.7 Manufacturing
    • 11.7.1 Market Trends
    • 11.7.2 Market Forecast
  • 11.8 Transportation and Logistics
    • 11.8.1 Market Trends
    • 11.8.2 Market Forecast
  • 11.9 Others
    • 11.9.1 Market Trends
    • 11.9.2 Market Forecast

12 Market Breakup by Region

  • 12.1 North America
    • 12.1.1 United States
      • 12.1.1.1 Market Trends
      • 12.1.1.2 Market Forecast
    • 12.1.2 Canada
      • 12.1.2.1 Market Trends
      • 12.1.2.2 Market Forecast
  • 12.2 Asia-Pacific
    • 12.2.1 China
      • 12.2.1.1 Market Trends
      • 12.2.1.2 Market Forecast
    • 12.2.2 Japan
      • 12.2.2.1 Market Trends
      • 12.2.2.2 Market Forecast
    • 12.2.3 India
      • 12.2.3.1 Market Trends
      • 12.2.3.2 Market Forecast
    • 12.2.4 South Korea
      • 12.2.4.1 Market Trends
      • 12.2.4.2 Market Forecast
    • 12.2.5 Australia
      • 12.2.5.1 Market Trends
      • 12.2.5.2 Market Forecast
    • 12.2.6 Indonesia
      • 12.2.6.1 Market Trends
      • 12.2.6.2 Market Forecast
    • 12.2.7 Others
      • 12.2.7.1 Market Trends
      • 12.2.7.2 Market Forecast
  • 12.3 Europe
    • 12.3.1 Germany
      • 12.3.1.1 Market Trends
      • 12.3.1.2 Market Forecast
    • 12.3.2 France
      • 12.3.2.1 Market Trends
      • 12.3.2.2 Market Forecast
    • 12.3.3 United Kingdom
      • 12.3.3.1 Market Trends
      • 12.3.3.2 Market Forecast
    • 12.3.4 Italy
      • 12.3.4.1 Market Trends
      • 12.3.4.2 Market Forecast
    • 12.3.5 Spain
      • 12.3.5.1 Market Trends
      • 12.3.5.2 Market Forecast
    • 12.3.6 Russia
      • 12.3.6.1 Market Trends
      • 12.3.6.2 Market Forecast
    • 12.3.7 Others
      • 12.3.7.1 Market Trends
      • 12.3.7.2 Market Forecast
  • 12.4 Latin America
    • 12.4.1 Brazil
      • 12.4.1.1 Market Trends
      • 12.4.1.2 Market Forecast
    • 12.4.2 Mexico
      • 12.4.2.1 Market Trends
      • 12.4.2.2 Market Forecast
    • 12.4.3 Others
      • 12.4.3.1 Market Trends
      • 12.4.3.2 Market Forecast
  • 12.5 Middle East and Africa
    • 12.5.1 Market Trends
    • 12.5.2 Market Breakup by Country
    • 12.5.3 Market Forecast

13 SWOT Analysis

  • 13.1 Overview
  • 13.2 Strengths
  • 13.3 Weaknesses
  • 13.4 Opportunities
  • 13.5 Threats

14 Value Chain Analysis

15 Porters Five Forces Analysis

  • 15.1 Overview
  • 15.2 Bargaining Power of Buyers
  • 15.3 Bargaining Power of Suppliers
  • 15.4 Degree of Competition
  • 15.5 Threat of New Entrants
  • 15.6 Threat of Substitutes

16 Price Analysis

17 Competitive Landscape

  • 17.1 Market Structure
  • 17.2 Key Players
  • 17.3 Profiles of Key Players
    • 17.3.1 Amazon Web Services Inc. (Amazon.com Inc.)
      • 17.3.1.1 Company Overview
      • 17.3.1.2 Product Portfolio
      • 17.3.1.3 SWOT Analysis
    • 17.3.2 Datastax Inc.
      • 17.3.2.1 Company Overview
      • 17.3.2.2 Product Portfolio
    • 17.3.3 Franz Inc.
      • 17.3.3.1 Company Overview
      • 17.3.3.2 Product Portfolio
    • 17.3.4 International Business Machines Corporation
      • 17.3.4.1 Company Overview
      • 17.3.4.2 Product Portfolio
      • 17.3.4.3 Financials
      • 17.3.4.4 SWOT Analysis
    • 17.3.5 Marklogic Corporation
      • 17.3.5.1 Company Overview
      • 17.3.5.2 Product Portfolio
    • 17.3.6 Microsoft Corporation
      • 17.3.6.1 Company Overview
      • 17.3.6.2 Product Portfolio
      • 17.3.6.3 Financials
      • 17.3.6.4 SWOT Analysis
    • 17.3.7 Neo4j Inc.
      • 17.3.7.1 Company Overview
      • 17.3.7.2 Product Portfolio
    • 17.3.8 Objectivity Inc.
      • 17.3.8.1 Company Overview
      • 17.3.8.2 Product Portfolio
    • 17.3.9 Oracle Corporation
      • 17.3.9.1 Company Overview
      • 17.3.9.2 Product Portfolio
      • 17.3.9.3 Financials
      • 17.3.9.4 SWOT Analysis
    • 17.3.10 Stardog Union
      • 17.3.10.1 Company Overview
      • 17.3.10.2 Product Portfolio
    • 17.3.11 Tibco Software Inc.
      • 17.3.11.1 Company Overview
      • 17.3.11.2 Product Portfolio
      • 17.3.11.3 SWOT Analysis
    • 17.3.12 Tigergraph Inc.
      • 17.3.12.1 Company Overview
      • 17.3.12.2 Product Portfolio

List of Figures

  • Figure 1: Global: Graph Database Market: Major Drivers and Challenges
  • Figure 2: Global: Graph Database Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Graph Database Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Graph Database Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Graph Database Market: Breakup by Type of Database (in %), 2023
  • Figure 6: Global: Graph Database Market: Breakup by Analysis Type (in %), 2023
  • Figure 7: Global: Graph Database Market: Breakup by Deployment Model (in %), 2023
  • Figure 8: Global: Graph Database Market: Breakup by Application (in %), 2023
  • Figure 9: Global: Graph Database Market: Breakup by Industry Vertical (in %), 2023
  • Figure 10: Global: Graph Database Market: Breakup by Region (in %), 2023
  • Figure 11: Global: Graph Database (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 12: Global: Graph Database (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 13: Global: Graph Database (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 14: Global: Graph Database (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 15: Global: Graph Database (Relational (SQL)) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 16: Global: Graph Database (Relational (SQL)) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 17: Global: Graph Database (Non-Relational (NoSQL)) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 18: Global: Graph Database (Non-Relational (NoSQL)) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 19: Global: Graph Database (Path Analysis) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 20: Global: Graph Database (Path Analysis) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 21: Global: Graph Database (Connectivity Analysis) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 22: Global: Graph Database (Connectivity Analysis) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 23: Global: Graph Database (Community Analysis) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 24: Global: Graph Database (Community Analysis) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 25: Global: Graph Database (Centrality Analysis) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 26: Global: Graph Database (Centrality Analysis) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 27: Global: Graph Database (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 28: Global: Graph Database (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 29: Global: Graph Database (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 30: Global: Graph Database (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 31: Global: Graph Database (Fraud Detection and Risk Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 32: Global: Graph Database (Fraud Detection and Risk Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 33: Global: Graph Database (Master Data Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 34: Global: Graph Database (Master Data Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 35: Global: Graph Database (Customer Analytics) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 36: Global: Graph Database (Customer Analytics) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 37: Global: Graph Database (Identity and Access Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 38: Global: Graph Database (Identity and Access Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 39: Global: Graph Database (Recommendation Engine) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 40: Global: Graph Database (Recommendation Engine) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 41: Global: Graph Database (Privacy and Risk Compliance) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 42: Global: Graph Database (Privacy and Risk Compliance) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 43: Global: Graph Database (Other Applications) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 44: Global: Graph Database (Other Applications) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 45: Global: Graph Database (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 46: Global: Graph Database (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 47: Global: Graph Database (Retail and E-Commerce) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 48: Global: Graph Database (Retail and E-Commerce) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 49: Global: Graph Database (IT and Telecom) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 50: Global: Graph Database (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 51: Global: Graph Database (Healthcare and Life Science) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 52: Global: Graph Database (Healthcare and Life Science) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 53: Global: Graph Database (Government and Public Sector) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 54: Global: Graph Database (Government and Public Sector) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 55: Global: Graph Database (Media and Entertainment) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 56: Global: Graph Database (Media and Entertainment) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 57: Global: Graph Database (Manufacturing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 58: Global: Graph Database (Manufacturing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 59: Global: Graph Database (Transportation and Logistics) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 60: Global: Graph Database (Transportation and Logistics) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 61: Global: Graph Database (Other Industry Verticals) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 62: Global: Graph Database (Other Industry Verticals) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 63: North America: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 64: North America: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 65: United States: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 66: United States: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 67: Canada: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 68: Canada: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 69: Asia-Pacific: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 70: Asia-Pacific: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 71: China: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 72: China: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 73: Japan: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 74: Japan: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 75: India: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 76: India: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 77: South Korea: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 78: South Korea: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 79: Australia: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 80: Australia: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Indonesia: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 82: Indonesia: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 83: Others: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 84: Others: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 85: Europe: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 86: Europe: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 87: Germany: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 88: Germany: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 89: France: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 90: France: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 91: United Kingdom: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 92: United Kingdom: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 93: Italy: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 94: Italy: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 95: Spain: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 96: Spain: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 97: Russia: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 98: Russia: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 99: Others: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 100: Others: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 101: Latin America: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 102: Latin America: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 103: Brazil: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 104: Brazil: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 105: Mexico: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 106: Mexico: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 107: Others: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 108: Others: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 109: Middle East and Africa: Graph Database Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 110: Middle East and Africa: Graph Database Market: Breakup by Country (in %), 2023
  • Figure 111: Middle East and Africa: Graph Database Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 112: Global: Graph Database Industry: SWOT Analysis
  • Figure 113: Global: Graph Database Industry: Value Chain Analysis
  • Figure 114: Global: Graph Database Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Graph Database Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Graph Database Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 3: Global: Graph Database Market Forecast: Breakup by Type of Database (in Million US$), 2024-2032
  • Table 4: Global: Graph Database Market Forecast: Breakup by Analysis Type (in Million US$), 2024-2032
  • Table 5: Global: Graph Database Market Forecast: Breakup by Deployment Model (in Million US$), 2024-2032
  • Table 6: Global: Graph Database Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 7: Global: Graph Database Market Forecast: Breakup by Industry Vertical (in Million US$), 2024-2032
  • Table 8: Global: Graph Database Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 9: Global: Graph Database Market: Competitive Structure
  • Table 10: Global: Graph Database Market: Key Players