全球图数据库市场规模：按公司规模、最终用途、应用、地区、范围和预测

图资料库市场规模及预测

2023年图资料库市场规模为17.4213亿美元，2024-2030年预测期间复合年增长率为20.86%，到2030年将达到54.2847亿美元。

图资料库的全球市场推动因素

图资料库市场的成长和发展归因于某些关键的市场推动因素。这些因素对图资料库在各领域的需求和采用有重大影响。

连线资料的成长：

图形资料库非常适合表示和查询具有更复杂和互连资料集的企业中的关係。随着互联资料在多个产业中变得越来越重要，图资料库的需求越来越大。

知识图谱的出现：

知识图谱以图结构排列讯息，在人工智慧、机器学习和数据分析等领域越来越受欢迎。知识图谱只能透过图资料库建立和查询，这也是它们如此受欢迎的原因。

分析与机器学习的进展：

图形资料库可有效处理资料中的关係和模式，从而支援与进阶分析和机器学习相关的应用程式。随着公司希望从数据中提取更多见解，图资料库与分析和机器学习相结合的需求越来越大。

即时资料处理：

图资料库可以即时处理数据，使其适合需要快速答案和洞察的应用程式。它在诈欺侦测、推荐系统和网路分析等情况下特别有用。

对安全性和诈欺侦测的需求不断增加：

图形资料库对于诈欺安全性和侦测应用程式非常有用，因为它们可以识别连结资料中的模式和异常情况。由于网路安全威胁不断发展，安全解决方案对图资料库的需求不断增长。

网路与 IT 营运管理：

透过建模和评估不同元件之间的依赖关係，图形资料库对于网路和 IT 营运管理至关重要。这对于确保 IT 系统的可靠性、优化效能和识别瓶颈是必要的。

社群媒体与推荐系统的普及：

社群媒体平台和推荐系统的关键组成部分是识别和利用人、内容和项目之间的联繫的能力。图资料库在社交媒体和电子商务行业中变得越来越流行，因为它们非常适合这些类型的应用程式。

健康与生命科学领域的应用：

图形资料库在健康科学中非常有用，可用于管理和分析患者数据以及对复杂的生物相互作用进行建模。它描述复杂关係的能力正在推动它在这些重要领域的采用。

全球图资料库市场的阻碍因素

虽然图资料库市场有很大的成长空间，但有一些行业限制使其变得困难。行业利益相关者必须瞭解这些课题。重要的市场限制包括：

复杂性与学习曲线：

实施和维护图形资料库有一个学习曲线，特别是从传统关係型资料库切换时。有些公司可能会对这种复杂性感到犹豫。

可扩充性问题：

图资料库可以很好地处理高度互连的数据，但随着资料集变得越来越大，可能会出现可扩展性问题。一个持续关注的问题是确保有效扩展以适应不断增长的数据量。

资料整合问题：

将图形资料库与您目前的系统和资料来源整合可能很困难。当您尝试将图形资料库与组织中的其他资料库类型或旧系统连接时，可能会出现相容性问题。

有限的标准化：

图资料库的市场没有很好的标准化，促使各个系统之间的查询语言和资料建模技术存在差异。缺乏标准化会降低资料的可移植性和互通性。

某些查询的效能问题：

图资料库适用于某些类型的查询，但在处理较大的资料集或更复杂的查询时可能会促使效能问题。最佳化问题可能会促使查询运行缓慢。

实施与维护成本：

部署图形资料库可能会在硬体基础架构、软体授权和培训方面产生高昂的初始成本，尤其是在大型组织中。此外，还必须考虑持续的维护成本。

安全与隐私课题：

确保图资料库中的资料安全和隐私非常重要。然而，实施强而有力的安全措施很困难，企业必须应对未经授权的存取和资料外洩等问题。

市场知识与教育：

许多企业可能不知道图形资料库必须提供的所有功能和优势。缺乏关于图数据库好处的知识和指导是一个潜在的障碍，特别是对于刚接触该技术的公司。

目录

第1章简介

• 市场定义
• 市场区隔
• 调查方法

第 2 章执行摘要

• 主要发现
• 市场概览
• 市场亮点

第3章市场概述

• 市场规模与成长潜力
• 市场趋势
• 市场推动因素
• 市场阻碍因素
• 市场机会
• 波特五力分析

第 4 章图资料库市场：依公司规模划分

• 中小企业 (SME)
• 大型公司

第 5 章图资料库市场：依最终使用者领域划分

• IT/通信
• 医疗/生命科学
• 金融服务
• 零售/电子商务
• 政府/国防部

第 6 章图资料库市场：依应用程式划分

• 诈欺侦测与风险管理
• 推荐系统
• 知识图谱
• 网路与 IT 营运管理

第7章区域分析

• 北美
• 美国
• 加拿大
• 墨西哥
• 欧洲
• 英国
• 德国
• 法国
• 义大利
• 亚太地区
• 中国
• 日本
• 印度
• 澳大利亚
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中东/非洲
• 南非
• 沙乌地阿拉伯
• 阿拉伯联合大公国

第 8 章市场动态

• 市场推动因素
• 市场阻碍因素
• 市场机会
• 新冠肺炎 (COVID-19) 对市场的影响

第9章竞争态势

• 主要公司
• 市占率分析

第10章公司简介

• DataStax（US）
• Stardog Union（US）
• Cambridge Semantics（US）
• Franz Inc.（US）
• Objectivity Inc.（US）
• GraphBase（Australia）
• Bitnine Co, Ltd.（South Korea）
• OpenLink Software（US）
• TIBCO Software, Inc.（US）

第 11 章市场前景与机会

• 新兴技术
• 未来市场趋势
• 投资机会

第12章附录

• 缩写列表
• 来源与参考文献

Graph Database Market Size And Forecast

Graph Database Market size was valued at USD 1742.13 Million in 2023 and is projected to reach USD 5428.47 Million by 2030, growing at a CAGR of 20.86% during the forecast period 2024-2030. To Learn More: Global Graph Database Market Drivers The growth and development of the Graph Database Market is attributed to certain main market drivers. These factors have a big impact on how Graph Database are demanded and adopted in different sectors. Several of the major market forces are as follows:

Growth of Connected Data:

Graph databases are excellent at expressing and querying relationships as businesses work with datasets that are more complex and interconnected. Graph databases are becoming more and more in demand as connected data gains significance across multiple industries.

Knowledge Graph Emergence:

In fields like artificial intelligence, machine learning, and data analytics, knowledge graphs-which arrange information in a graph structure-are becoming more and more popular. Knowledge graphs can only be created and queried via graph databases, which is what is causing their widespread use.

Analytics and Machine Learning Advancements:

Graph databases handle relationships and patterns in data effectively, enabling applications related to advanced analytics and machine learning. Graph databases are becoming more and more in demand when combined with analytics and machine learning as businesses want to extract more insights from their data.

Real-Time Data Processing:

Graph databases can process data in real-time, which makes them appropriate for applications that need quick answers and insights. In situations like fraud detection, recommendation systems, and network analysis, this is especially helpful.

Increasing Need for Security and Fraud Detection:

Graph databases are useful for fraud security and detection applications because they can identify patterns and abnormalities in linked data. The growing need for graph databases in security solutions is a result of the ongoing evolution of cybersecurity threats.

Network and IT Operations Management:

By modeling and evaluating dependencies between different components, graph databases are essential to network and IT operations management. This is necessary to guarantee the dependability of IT systems, optimize performance, and locate bottlenecks.

Greater Uptake of Social Media and Recommendation Systems:

A major component of social media platforms and recommendation systems is their ability to recognize and make use of the connections among people, content, and items. Graph databases are becoming more and more popular in the social media and e-commerce industries since they are ideal for these kinds of applications.

Applications in the Health and Life Sciences:

Graph databases are useful for managing and analyzing patient data in the health sciences as well as for modeling intricate biological interactions. Their adoption is being driven in these important sectors by their ability to depict complex relationships.

Global Graph Database Market Restraints

The Graph Database Market has a lot of room to grow, but there are several industry limitations that could make it harder for it to do so. It's imperative that industry stakeholders comprehend these difficulties. Among the significant market limitations are:

Complexity and Learning Curve:

Organizations may encounter a learning curve when implementing and maintaining graph databases, particularly if they are switching from conventional relational databases. Some firms may be put off by this complexity.

Scalability Issues:

Graph databases work well with highly interconnected data, however as datasets get larger, scalability issues could appear. One constant concern is ensuring effective scaling to handle growing data volumes.

Problems with Data Integration:

There may be difficulties integrating graph databases with current systems and data sources. When attempting to connect graph databases with other database types or older systems inside an organization, compatibility problems may occur.

Limited Standardization:

The market for graph databases is not well standardized, which causes differences in query languages and data modeling techniques amongst various systems. Data portability and interoperability may suffer from this lack of standards.

Performance Issues with Some Queries:

Graph databases work well with some kinds of queries, but when working with larger datasets or more complicated queries, performance issues may arise. Issues with optimization could slow down the execution of a query.

Cost of Implementation and Maintenance:

Graph database implementation, particularly in large organizations, may include high upfront expenses for hardware infrastructure, software licenses, and training. Costs for ongoing maintenance may also be taken into account.

Security and Privacy Challenges:

It's critical to guarantee the security and privacy of data in graph databases. But putting strong security measures in place may be difficult, and businesses need to deal with issues like illegal access and data breaches.

Market Knowledge and Education:

It's possible that many firms are unaware of all the features and advantages that graph databases offer. One potential barrier is a lack of knowledge and instruction regarding the benefits of graph databases, particularly for companies that are not yet familiar with this technology.

Global Graph Database Market Segmentation Analysis

The Global Graph Database Market is segmented on the basis of Enterprise Size, End-Use Sector, Application, and Geography.

By Enterprise Size:

Small and Medium Enterprises (SMEs):

Graph database systems designed to meet the demands and scalability specifications of smaller companies.

Large Enterprises:

All-inclusive graph database systems made to handle the intricate data requirements of big businesses.

By End-Use Sector:

IT and Telecommunications:

Graph databases are utilized in network administration, cybersecurity, and relationship analysis of telecom data.

Health and Life Sciences:

Drug development, biological relationship analysis, and patient data management are some of the applications.

Financial Services:

Used in financial transactions for relationship analysis, risk management, and fraud detection.

Retail and E-commerce:

Helping with customer relationship management, supply chain optimization, and recommendation engines.

Government and Defense:

Used for network mapping, threat identification, and intelligence analysis.

By Application:

Fraud Detection and Risk Management:

Using graph databases, patterns and relationships that point to fraudulent activity are found.

Recommendation systems:

Used in content and e-commerce platforms to offer tailored suggestions based on user activity.

Knowledge Graphs:

Used for information retrieval and semantic understanding, knowledge graphs can be created and queried.

Network and IT Operations Management:

Dependency analysis and modeling in IT systems is made possible by graph databases.

By Geography:

North America

Europe

Asia-Pacific

Latin America

Middle East

Key Players

The major players in the Graph Database Market are:

DataStax (US)

Stardog Union (US)

Cambridge Semantics (US)

Franz Inc. (US)

Objectivity Inc. (US)

GraphBase (Australia)

Bitnine Co, Ltd. (South Korea)

OpenLink Software (US)

TIBCO Software, Inc. (US)

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Graph Database Market , By Enterprise Size

• Small and Medium Enterprises (SMEs)
• Large Enterprises

5. Graph Database Market, By End-Use Sector

• IT and Telecommunications
• Health and Life Sciences
• Financial Services
• Retail and E-commerce
• Government and Defense

6. Graph Database Market , By Application

• Fraud Detection and Risk Management
• Recommendation systems
• Knowledge Graphs
• Network and IT Operations Management

7. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• DataStax (US)
• Stardog Union (US)
• Cambridge Semantics (US)
• Franz Inc. (US)
• Objectivity Inc. (US)
• GraphBase (Australia)
• Bitnine Co, Ltd. (South Korea)
• OpenLink Software (US)
• TIBCO Software, Inc. (US)

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References