封面
市场调查报告书
商品编码
1722400

2025 年至 2033 年图形资料库市场报告,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、产业垂直和地区划分

Graph Database Market Report by Component, Type of Database (Relational, Non-Relational ), Analysis Type, Deployment Model, Application, Industry Vertical, and Region 2025-2033

出版日期: | 出版商: IMARC | 英文 150 Pages | 商品交期: 2-3个工作天内

价格

2024 年全球图形资料库市场规模达 20 亿美元。展望未来, IMARC Group预计到 2033 年市场规模将达到 86 亿美元,2025-2033 年期间的成长率 (CAGR) 为 17.57%。图形资料库在网路安全领域用于威胁检测和网路分析的应用日益增多,对即时分析和人工智慧驱动洞察的需求日益增长,以及在医疗保健和金融等行业中用于资料整合和个人化服务的应用不断扩大,这些都是催化市场成长的关键因素。

图形资料库市场分析:

主要市场驱动因素:图形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) 等不同垂直行业的使用率不断上升,这是推动市场成长的关键因素之一。

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) 的图形资料库工具是推动市场成长的重要关键趋势之一。

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,北美目前占据全球市场主导地位。该地区技术应用的不断扩大是促进图形资料库市场成长的主要原因之一。预计 IBM、Microsoft、Neo4j 和 Oracle 等北美图形资料库参与者的扩张将进一步推动市场扩张。

挑战与机会:图形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技术人员的需求。机会在于解决不断发展的用例,例如诈欺侦测、个人化推荐系统和知识图谱应用,从而推动创新和市场扩张。

图形资料库市场趋势:

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全球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联网设备的普及,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,物联网在 2019 年产生了约 507.5 zetta位元组的资料。波耐蒙研究所和共享评估计画的一项调查也显示,至少 81% 的风险监督和公司治理专业人士认为资料外洩是由公司内部不安全的物联网设备造成的。为了应对这种情况,公司越来越多地整合图形资料库解决方案,以从资料中获取有价值的见解,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形资料库市场的需求。

增加产品种类

各个主要参与者正在推出各种图形资料库解决方案,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。研究结果解决了企业在建立和部署成功的 GenAI 应用程式时面临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) 推出了新的分析资料库引擎,它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的再投资会议上正式发表。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。目前它已在部分 AWS 区域推出,包括美国东部、美国西部、亚太地区和欧洲。预计图形资料库的此类创新将在未来几年推动图形资料库市场份额的成长。

产品应用在各行各业不断成长

图形资料库正在被金融、医疗保健、零售、物流和製造等各行各业采用,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(Servier)的研发部门开始利用图形技术缩短药物研发时间,并提高候选药物在临床阶段的成功率。该公司正在使用 Neo4j 的 Pegasus 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,金融领域对图形资料库在侦测和防止诈欺活动方面的使用率不断提高,也催化了图形资料库市场的近期价格。例如,Amazon Neptune 等图形资料库越来越多地被用于执行查询,因为它们可以同时遍历资料并执行计算。图表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,图形资料库被广泛应用于反洗钱(AML)应用程式中,因为它们可以帮助发现可疑交易的模式。

全球图形资料库市场细分:

按组件细分:

  • 软体
  • 服务

软体占最大的市场份额

根据组成部分,全球图形资料库市场可以细分为软体和服务。报告显示,软体占据了最大的市场份额。

该领域的成长可以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,软体部署通常涉及前期授权或订阅费用,从长远来看这可能更具成本效益,特别是对于具有持续资料管理需求的组织而言。

依资料库类型分类:

  • 关係型资料库 (SQL)
  • 非关係型(NoSQL)

关係型(SQL)资料库在市场上占据明显主导地位

根据资料库类型,全球图形资料库市场可分为关係型(SQL)和非关係型(NoSQL)。根据报告,关係(SQL)资料库在市场上占据明显的主导地位。

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,而图形资料库则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,为多样化的资料管理需求提供全面的解决方案。这种整合有助于在广泛的用例中进行无缝资料分析、洞察生成和应用程式开发,从而提高整体灵活性和可扩展性。

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

路径分析占据了大部分市场份额

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

图形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,它为互联资料的结构和行为提供了有价值的见解。透过检查图中的路径,组织可以获得可行的见解并根据底层关係做出明智的决策。

按部署模型细分:

  • 本地
  • 基于云端

本地部署模式占据了大部分市场份额

根据部署模型,全球图形资料库市场可以细分为本地部署和基于云端的部署。根据报告,本地部署模式占据了大部分市场份额。

图形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,优先选择本地部署,为资料管理和处理提供专用环境。例如,在 BFSI 领域营运的各种公司越来越多地在自己的资料中心内部署图形资料库,这对图形资料库市场前景产生了积极影响。总部位于曼哈顿的金融科技公司 Current 正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,并创建一套基于个人及其家庭关係综合观点的「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的基础设施投资并根据其特定需求和偏好自订部署。

按应用分类:

  • 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,全球图形资料库市场可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、隐私和风险合规等。

图形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被用于执行查询,因为它们可以同时遍历资料并执行计算。图表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,图形资料库被广泛应用于反洗钱(AML)应用程式中,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为改善业务营运而不断增加的主资料管理解决方案的使用可能会推动图形资料库市场的收入。

按行业垂直细分:

  • 金融服务业
  • 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
  • 媒体和娱乐
  • 製造业
  • 运输和物流
  • 其他的

IT和电信业占据最大的市场份额

根据行业垂直划分,全球图形资料库市场细分为 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、製造业、运输和物流等。报告显示,IT和电信业占据最大的市场份额。

在IT和电信行业,图形资料库用于网路拓扑管理、故障分析和服务配置。它们能够即时监控网路基础设施、识别瓶颈并优化资源分配。图形资料库还可以透过绘製客户、服务和设备之间的复杂互动来促进客户关係管理,增强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

北美目前占据全球市场主导地位

市场研究报告也对所有主要区域市场进行了全面分析,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,北美目前占据全球市场主导地位。

该地区技术应用的不断扩大是推动北美图形资料库市场成长的主要原因之一。预计 IBM、Microsoft、Neo4j、Oracle 等该地区图形资料库参与者的扩张将进一步推动市场扩张。此外,IMARC 的图形资料库市场概述表明,重要区域经济体的研发支出成长正在帮助北美图形资料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 亿美元的资金,这笔资金用于资助该公司开发新产品和扩大市场份额的努力。

竞争格局:

市场研究报告对竞争格局和景观进行了全面的分析。也提供了所有主要公司的详细资料。市场中的一些主要参与者包括:

  • 亚马逊网路服务公司(Amazon.com Inc.)
  • Datastax公司
  • 弗朗兹公司
  • 国际商业机器公司
  • Marklogic 公司
  • 微软公司
  • Neo4j 公司
  • 客观性公司
  • 甲骨文公司
  • 星狗联盟
  • Tibco 软体公司
  • Tigergraph公司

本报告回答的关键问题

  • 2024 年全球图形资料库市场规模是多少
  • 2025-2033年全球图形资料库市场的预期成长率是多少
  • 推动全球图形资料库市场的关键因素有哪些
  • COVID-19 对全球图形资料库市场有何影响
  • 根据组件,全球图形资料库市场如何划分
  • 根据资料库类型,全球图形资料库市场如何划分
  • 根据分析类型,全球图形资料库市场如何划分
  • 根据部署模型,全球图形资料库市场如何划分
  • 根据产业垂直划分,全球图形资料库市场如何?
  • 10.全球图形资料库市场的主要区域有哪些?
  • 11.全球图形资料库市场的主要参与者/公司有哪些?

本报告回答的关键问题

  • 2024 年全球图形资料库市场规模? 2025-2033年全球图形资料库市场的预期成长率是多少?
  • 推动全球图形资料库市场发展的关键因素有哪些?
  • COVID-19 对全球图形资料库市场有何影响?
  • 根据组件,全球图形资料库市场如何划分?
  • 根据资料库类型,全球图形资料库市场如何划分?
  • 根据分析类型,全球图形资料库市场如何划分?
  • 根据部署模型,全球图形资料库市场如何划分?
  • 基于产业垂直划分,全球图形资料库市场如何?
  • 全球图形资料库市场的主要区域有哪些?
  • 全球图形资料库市场的主要参与者/公司有哪些?

目录

第一章:前言

第二章:范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 次要来源
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章:执行摘要

第四章:简介

  • 概述
  • 主要行业趋势

第五章:全球图形资料库市场

  • 市场概览
  • 市场表现
  • COVID-19的影响
  • 市场预测

第六章:市场细分:按组成部分

  • 软体
  • 服务

第七章:市场区隔:依资料库类型

  • 关係型资料库 (SQL)
  • 非关係型(NoSQL)

第八章:市场区隔:依分析类型

  • 路径分析
  • 连通性分析
  • 社区分析
  • 中心性分析

第九章:市场细分:依部署模型

  • 本地
  • 基于云端

第十章:市场细分:按应用

  • 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

第 11 章:市场区隔:依产业垂直

  • 金融服务业
  • 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
  • 媒体和娱乐
  • 製造业
  • 运输和物流
  • 其他的

第十二章: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
    • 市场区隔:依国家

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: SR112025A5170

The global graph database market size reached USD 2.0 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 8.6 Billion by 2033, exhibiting a growth rate (CAGR) of 17.57% during 2025-2033. 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 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:

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.

Key Questions Answered in This Report

  • 1.What was the size of the global graph database market in 2024?
  • 2.What is the expected growth rate of the global graph database market during 2025-2033?
  • 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 USD), 2019-2024
  • Figure 3: Global: Graph Database Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 4: Global: Graph Database Market: Breakup by Component (in %), 2024
  • Figure 5: Global: Graph Database Market: Breakup by Type of Database (in %), 2024
  • Figure 6: Global: Graph Database Market: Breakup by Analysis Type (in %), 2024
  • Figure 7: Global: Graph Database Market: Breakup by Deployment Model (in %), 2024
  • Figure 8: Global: Graph Database Market: Breakup by Application (in %), 2024
  • Figure 9: Global: Graph Database Market: Breakup by Industry Vertical (in %), 2024
  • Figure 10: Global: Graph Database Market: Breakup by Region (in %), 2024
  • Figure 11: Global: Graph Database (Software) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 12: Global: Graph Database (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 13: Global: Graph Database (Services) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 14: Global: Graph Database (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 15: Global: Graph Database (Relational (SQL)) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 16: Global: Graph Database (Relational (SQL)) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 17: Global: Graph Database (Non-Relational (NoSQL)) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 18: Global: Graph Database (Non-Relational (NoSQL)) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 19: Global: Graph Database (Path Analysis) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 20: Global: Graph Database (Path Analysis) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 21: Global: Graph Database (Connectivity Analysis) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 22: Global: Graph Database (Connectivity Analysis) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 23: Global: Graph Database (Community Analysis) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 24: Global: Graph Database (Community Analysis) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 25: Global: Graph Database (Centrality Analysis) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 26: Global: Graph Database (Centrality Analysis) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 27: Global: Graph Database (On-premises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 28: Global: Graph Database (On-premises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 29: Global: Graph Database (Cloud-based) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 30: Global: Graph Database (Cloud-based) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 31: Global: Graph Database (Fraud Detection and Risk Management) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 32: Global: Graph Database (Fraud Detection and Risk Management) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 33: Global: Graph Database (Master Data Management) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 34: Global: Graph Database (Master Data Management) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 35: Global: Graph Database (Customer Analytics) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 36: Global: Graph Database (Customer Analytics) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 37: Global: Graph Database (Identity and Access Management) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 38: Global: Graph Database (Identity and Access Management) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 39: Global: Graph Database (Recommendation Engine) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 40: Global: Graph Database (Recommendation Engine) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 41: Global: Graph Database (Privacy and Risk Compliance) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 42: Global: Graph Database (Privacy and Risk Compliance) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 43: Global: Graph Database (Other Applications) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 44: Global: Graph Database (Other Applications) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 45: Global: Graph Database (BFSI) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 46: Global: Graph Database (BFSI) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 47: Global: Graph Database (Retail and E-Commerce) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 48: Global: Graph Database (Retail and E-Commerce) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 49: Global: Graph Database (IT and Telecom) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 50: Global: Graph Database (IT and Telecom) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 51: Global: Graph Database (Healthcare and Life Science) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 52: Global: Graph Database (Healthcare and Life Science) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 53: Global: Graph Database (Government and Public Sector) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 54: Global: Graph Database (Government and Public Sector) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 55: Global: Graph Database (Media and Entertainment) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 56: Global: Graph Database (Media and Entertainment) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 57: Global: Graph Database (Manufacturing) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 58: Global: Graph Database (Manufacturing) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 59: Global: Graph Database (Transportation and Logistics) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 60: Global: Graph Database (Transportation and Logistics) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 61: Global: Graph Database (Other Industry Verticals) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 62: Global: Graph Database (Other Industry Verticals) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 63: North America: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 64: North America: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 65: United States: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 66: United States: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 67: Canada: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 68: Canada: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 69: Asia-Pacific: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 70: Asia-Pacific: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 71: China: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 72: China: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 73: Japan: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 74: Japan: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 75: India: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 76: India: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 77: South Korea: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 78: South Korea: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 79: Australia: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 80: Australia: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 81: Indonesia: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 82: Indonesia: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 83: Others: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 84: Others: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 85: Europe: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 86: Europe: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 87: Germany: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 88: Germany: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 89: France: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 90: France: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 91: United Kingdom: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 92: United Kingdom: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 93: Italy: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 94: Italy: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 95: Spain: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 96: Spain: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 97: Russia: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 98: Russia: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 99: Others: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 100: Others: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 101: Latin America: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 102: Latin America: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 103: Brazil: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 104: Brazil: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 105: Mexico: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 106: Mexico: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 107: Others: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 108: Others: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 109: Middle East and Africa: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 110: Middle East and Africa: Graph Database Market: Breakup by Country (in %), 2024
  • Figure 111: Middle East and Africa: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
  • 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, 2024 and 2033
  • Table 2: Global: Graph Database Market Forecast: Breakup by Component (in Million USD), 2025-2033
  • Table 3: Global: Graph Database Market Forecast: Breakup by Type of Database (in Million USD), 2025-2033
  • Table 4: Global: Graph Database Market Forecast: Breakup by Analysis Type (in Million USD), 2025-2033
  • Table 5: Global: Graph Database Market Forecast: Breakup by Deployment Model (in Million USD), 2025-2033
  • Table 6: Global: Graph Database Market Forecast: Breakup by Application (in Million USD), 2025-2033
  • Table 7: Global: Graph Database Market Forecast: Breakup by Industry Vertical (in Million USD), 2025-2033
  • Table 8: Global: Graph Database Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 9: Global: Graph Database Market: Competitive Structure
  • Table 10: Global: Graph Database Market: Key Players