查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1650909

全球图形资料库市场

Graph Database
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 184 Pages | 商品交期: 最快1-2个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

预计到 2030 年全球图形资料库市场规模将达到 150 亿美元

2024 年全球图形资料库市场规模估计为 53 亿美元，预计到 2030 年将达到 150 亿美元，2024 年至 2030 年的复合年增长率为 19.0%。图形资料库软体是报告中分析的细分市场之一，预计到分析期结束时复合年增长率为 17.8%，达到 91 亿美元。预计在分析期间内，图形资料库服务部分的复合年增长率为 21.0%。

美国市场预计将成长至 15 亿美元，中国市场复合年增长率将达 18.5%

预计2024年美国图形资料库市场规模将达15亿美元。中国是世界第二大经济体，预计到 2030 年市场规模将达到 23 亿美元，2024-2030 年分析期间的复合年增长率为 18.5%。其他值得注意的区域市场包括日本和加拿大，预计在分析期间的复合年增长率分别为 16.6% 和 15.9%。在欧洲，预计德国的复合年增长率约为 13.0%。

全球图形资料库市场 - 主要趋势和驱动因素摘要

为什么图形资料库对于管理复杂的资料关係和支援现代应用程式至关重要？

图形资料库正迅速成为管理复杂资料关係和支援下一代智慧应用程式的关键工具。但是为什么图形资料库现在必不可少呢？与将资料存储在表中并需要多个连接来查询关係的传统关联资料库不同，图形资料库将资料表示为节点（实体）和边（关係），从而易于视觉化、分析和查询资料点之间的复杂连接。这种结构非常适合处理高度互联资料的应用程序，例如社交网路、建议引擎、诈欺侦测系统和供应链管理。

随着企业和产业越来越依赖资料主导的洞察力，图形资料库可以发现传统资料库中隐藏的模式、关係和趋势。无论是映射网路中的社交连结、识别基因组资料中的关係，还是追踪金融交易以诈骗侦测，图形资料库都能实现更快的查询和有效的资料关係探索。随着巨量资料、人工智慧和机器学习的兴起，图形资料库提供了一种处理复杂、互联资料的强大方法，使其成为企业希望利用这些高阶分析技术的必备技术。

技术进步如何提升图形资料库的效能和功能？

技术进步极大地提高了图形资料库的效能和功能，使其更具可扩展性、灵活性并适用于广泛的应用。最重要的进步之一是分散式图形资料库的开发，它允许资料分布在多个伺服器或云端实例上。这种分布允许图形资料库处理更大的资料集和更复杂的查询，从而允许公司随着资料的成长扩展其图形资料库基础架构。分散式图形资料库对于通讯、金融服务和电子商务等行业尤其有价值，因为海量资料集的即时分析对于决策至关重要。

另一个重要的进步是 Cypher、Gremlin 和 SPARQL 等图查询语言的改进，使得开发人员能够更直觉、更有效率地与图资料库互动。这些语言专门设计用于处理图形结构，从而可以轻鬆编写探索资料点之间关係的复杂查询。例如，为 Neo4j 开发的 Cypher 简化了图形探索，可以轻鬆查询大型图中的路径、邻域和模式。这些专门的查询语言使图形资料库更易于使用，缩短了开发人员和资料分析师的学习曲线，并使他们能够从资料中获得更深入的见解。

图形资料库与机器学习和人工智慧的结合也正在改变组织分析和使用资料的方式。将基于图形的资料模型与机器学习演算法结合，可以帮助公司建立更复杂的建议系统、预测模型和异常检测系统。例如，机器学习模型可以利用图形资料库中存储的连接资料，透过分析产品、客户及其在电子商务或内容平台中的行为之间的关係来改善对使用者的建议。对于诈欺侦测，基于图的机器学习模型可以揭示交易资料中的隐藏联繫，并识别使用传统资料库难以发现的可疑活动。

此外，GPU（图形处理单元）的使用等硬体进步使得图形处理和分析速度更快。 GPU 专为平行处理而设计，使其非常适合遍历需要同时评估多种关係的大型图形资料集。透过利用GPU的平行处理能力，图形资料资料库可以加速复杂的查询，例如路径查找，丛集和基于图的演算法，从而提高图形资料库的整体效能。此功能对于即时诈欺侦测等应用尤其重要，因为快速且准确地分析连接的资料至关重要。

基于云端基础的图形资料库服务的改进也推动了该技术的采用。 AWS、Microsoft Azure 和 Google Cloud 等云端供应商提供託管图形资料库服务，使企业能够快速部署图形资料库，而无需进行广泛的基础架构管理。这些云端基础的服务提供可扩展性、安全性和与其他资料工具的集成，使各种规模的组织都能轻鬆利用图形资料库来满足其资料管理需求。云端服务的便利性与图形资料库的灵活性相结合，使得希望利用互联资料力量的企业更容易获得该技术。

为什么图形资料库对于即时资料分析、诈欺侦测和建议系统至关重要？

图形资料库对于即时资料分析、诈欺侦测和建议系统至关重要，因为它们提供了一种建模、储存和查询复杂、互联资料的有效方法。在即时资料分析中，图形资料库擅长识别资料点之间的关係，这在实体之间的连接与实体本身一样重要的场景中至关重要。例如，在通讯，图形资料库用于模拟通话记录、网路流量和用户关係，以识别模式、优化网路效能和预测未来使用情况。在金融领域，图形资料库的即时分析可以透过分析客户、交易和金融工具之间的关係来帮助监控交易、检测市场趋势并防止诈欺。

图形资料库透过揭示看似不相关的实体之间的隐藏联繫，在诈欺侦测中发挥关键作用，使诈欺侦测变得更加容易。传统资料库难以处理实体之间具有复杂关係（尤其是动态关係）的大型资料集。但是图形资料库可以模拟个人、帐户、交易和设备之间的复杂联繫，使组织能够检测异常并发现诈欺模式。例如，在业务中，图形资料库可以识别涉及多个帐户、第三方或不寻常互动模式的可疑交易，有助于防止洗钱、身分窃盗和卡片诈骗等金融犯罪。

建议系​​统也从基于图形的结构中受益匪浅。在内容平台、电子商务和社群媒体中，建议引擎需要分析使用者的行为、偏好以及与其他使用者和物品的关係，以提供个人化的建议。图形资料库可以轻鬆储存和查询这种复杂的关係，从而使推荐系统能够提供更准确和相关的提案。例如，在电子商务平台中，图形资料库可以分析使用者、产品、购买历史和产品属性之间的关係，使推荐引擎能够根据类似使用者的购买历史和偏好提案产品。类似地，串流平台可以使用图形资料库来分析观看历史和内容关係，根据用户的观看模式和类似用户的观看模式向用户推荐新的节目或电影。

图形资料库在网路安全应用方面也表现出色，其中识别网路节点、使用者和事件之间的关係对于侦测和减轻网路威胁至关重要。在网路监控中，图形资料资料库可以追踪和分析装置、IP 位址和网路流量模式之间的连接，以识别可疑活动，例如恶意软体感染或未授权存取尝试。透过即时查看和分析这些连接，安全团队可以更快、更有效地应对威胁，从而降低资料外洩和网路攻击的风险。

图形资料库还透过追踪和分析供应商、产品、货物和客户之间的复杂关係来支援供应链管理。供应链中有许多接触点，可能会导致延迟、中断和效率低。透过将整个供应链建模为图形，公司可以即时视觉化这些关係，以识别瓶颈，优化物流并确保顺利运作。图形资料库提供了一种灵活的方式来管理这些动态关係，使公司能够快速回应变化并维持高效的供应链。

哪些因素推动了图形资料库市场的成长？

图形资料库市场的快速成长归因于几个关键因素，包括现代应用程式中资料复杂性的增加、人工智慧和机器学习的兴起、对即时分析的不断增长的需求以及云端基础的资料库解决方案的进步。首先，现代应用程式中资料日益复杂是图形资料库市场发展的主要驱动力。随着企业收集和产生越来越多的资料，资料点之间的关係变得更加复杂，并且难以使用传统的关联资料库进行管理。社群媒体、电子商务、金融服务和医疗保健等应用程式都涉及复杂的资料网络，需要高效率的关係管理和分析。能够处理高度关联资料的图形资料库越来越多地被用于解决这些挑战。

人工智慧和机器学习的兴起也是推动图形资料库市场成长的关键因素之一。机器学习模型和人工智慧演算法通常依赖分析具有复杂关係的大型资料集来产生见解或做出预测。图形资料库提供了一种更自然的方式来表示这些关係，从而实现更有效率的资料处理并提高 AI 模型的准确性。例如，在推荐系统、诈骗侦测和知识图谱中，人工智慧应用程式使用图形资料库来分析资料点的相互关係，以增强决策流程并提供更深入的见解。随着人工智慧的应用在各个行业不断扩展，对能够有效管理和查询连接资料的图形资料库的需求也日益增长。

对即时分析的不断增长的需求也是推动图形资料库市场发展的一个主要因素。金融、零售和通讯等行业的公司需要即时处理和分析资料，以便快速做出关键决策。无论是侦测非法贸易、优化客户互动还是管理供应链，即时洞察对于保持竞争力都至关重要。图形资料库能​​够快速遍历资料点之间的关係并分析这些连接，为想要即时了解业务的企业提供了解决方案。这种即时功能对于即时决策至关重要的行业尤其重要，例如金融服务，快速的诈欺检测可以节省数百万美元。

基于云端基础的图形资料库解决方案的进步也推动了市场的成长。随着云端变得越来越流行，企业正在转向云端基础的图形资料库服务，以获得扩充性、灵活性和易用性。 AWS、Microsoft Azure 和 Google Cloud 等云端供应商提供的託管图形资料库服务可让企业快速部署图形资料库，而无需投资昂贵的基础架构和专业知识。这使得各种规模的企业都可以更轻鬆地使用图形资料库，甚至中小型企业也无需花费大量的前期成本即可利用互联资料分析的强大功能。此外，云端基础方案的灵活性使企业能够随着资料需求的增长而扩展其图形资料库，从而提供一种经济高效的方式来管理不断增长的资料量。

这些因素，加上资料透明度和可追溯性的监管要求，正在推动图形资料库的采用。医疗保健、金融和供应链管理等行业都受到法规的强制要求，必须追踪和记录资料、交易和产品流。图形资料库提供了一种有效的方法来建模和查询这些复杂的资料关係，提供对资料和产品流动的更大可见性，同时确保法规遵循。

总之，图形资料库市场的成长受到资料复杂性的增加、人工智慧和机器学习的兴起、即时分析的需求以及云端基础的资料库解决方案的进步的推动。随着企业不断努力处理大量互联资料，图形资料库将在支援智慧应用程式、改善决策和优化各行各业流程方面发挥核心作用。

部分

元件（软体、服务）；类型（属性图、RDF）；应用程式（诈欺侦测和预防、风险、合规和彙报管理、供应链管理和其他应用程式）

受访企业范例（共22家）

  • Amazon Web Services, Inc.
  • ArangoDB Inc.
  • Bitnine Co, Ltd.
  • Blazegraph
  • Cambridge Semantics
  • Cray, Inc.
  • DataStax, Inc.
  • Fluree, PBC
  • Franz Inc.
  • IBM Corporation
  • MarkLogic Corporation
  • Memgraph Ltd.
  • Microsoft Corporation
  • MongoDB, Inc.
  • Neo4j, Inc.
  • Objectivity Inc.
  • Ontotext
  • OpenLink Software, Inc.
  • Oracle Corporation
  • Orientdb
  • Sparcity Technologies
  • Stardog
  • Teradata Corporation
  • TIBCO Software, Inc.
  • Tigergraph

目录

第一章调查方法

第 2 章执行摘要

  • 市场概况
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章 市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲国家
  • 亚太地区
  • 其他地区

第四章 竞赛

简介目录
Product Code: MCP12218

Global Graph Database Market to Reach US$15.0 Billion by 2030

The global market for Graph Database estimated at US$5.3 Billion in the year 2024, is expected to reach US$15.0 Billion by 2030, growing at a CAGR of 19.0% over the analysis period 2024-2030. Graph Database Software, one of the segments analyzed in the report, is expected to record a 17.8% CAGR and reach US$9.1 Billion by the end of the analysis period. Growth in the Graph Database Services segment is estimated at 21.0% CAGR over the analysis period.

The U.S. Market is Estimated at US$1.5 Billion While China is Forecast to Grow at 18.5% CAGR

The Graph Database market in the U.S. is estimated at US$1.5 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$2.3 Billion by the year 2030 trailing a CAGR of 18.5% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 16.6% and 15.9% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 13.0% CAGR.

Global Graph Database Market - Key Trends and Drivers Summarized

Why Are Graph Databases Becoming Essential for Managing Complex Data Relationships and Powering Modern Applications?

Graph databases are rapidly emerging as a crucial tool for managing complex data relationships and enabling the next generation of intelligent applications. But why are graph databases so essential today? Unlike traditional relational databases, which store data in tables and require multiple joins to query relationships, graph databases represent data as nodes (entities) and edges (relationships), making it easier to visualize, analyze, and query intricate connections between data points. This structure is ideal for applications that involve highly interconnected data, such as social networks, recommendation engines, fraud detection systems, and supply chain management.

As businesses and industries increasingly rely on data-driven insights, graph databases enable organizations to discover patterns, relationships, and trends that would otherwise remain hidden in conventional databases. Whether it's mapping social connections in a network, identifying relationships in genomic data, or tracking financial transactions for fraud detection, graph databases allow for faster querying and more efficient exploration of data relationships. With the rise of big data, AI, and machine learning, graph databases provide a powerful way to handle complex, connected data and have become an indispensable technology for companies seeking to leverage these advanced analytics.

How Are Technological Advancements Enhancing the Performance and Capabilities of Graph Databases?

Technological advancements are significantly improving the performance and capabilities of graph databases, making them more scalable, flexible, and accessible for a broader range of applications. One of the most important advancements is the development of distributed graph databases, which allow data to be spread across multiple servers or cloud instances. This distribution enables graph databases to handle larger datasets and more complex queries, allowing organizations to scale their graph database infrastructure as their data grows. Distributed graph databases are particularly valuable for industries such as telecommunications, financial services, and e-commerce, where real-time analysis of massive datasets is essential for decision-making.

Another critical advancement is the improvement in graph query languages, such as Cypher, Gremlin, and SPARQL, which allow developers to interact with graph databases more intuitively and efficiently. These languages are specifically designed to handle graph structures, making it easier to write complex queries that explore the relationships between data points. For example, Cypher, developed for Neo4j, simplifies graph traversals, making it easy to query for paths, neighbors, and patterns in large graphs. These specialized query languages enhance the usability of graph databases, reducing the learning curve for developers and data analysts and allowing them to unlock deeper insights from their data.

The integration of graph databases with machine learning and artificial intelligence is also transforming the way organizations analyze and utilize their data. By combining graph-based data models with machine learning algorithms, companies can build more sophisticated recommendation systems, predictive models, and anomaly detection systems. For instance, machine learning models can leverage the connected data stored in graph databases to improve recommendations for users in e-commerce or content platforms by analyzing the relationships between products, customers, and their behaviors. In fraud detection, graph-based machine learning models can uncover hidden connections in transaction data, identifying suspicious activities that would be difficult to detect with traditional databases.

In addition, advances in hardware, such as the use of GPUs (Graphics Processing Units), are enabling faster graph processing and analysis. GPUs are designed for parallel processing, making them well-suited for the traversal of large graph datasets, where multiple relationships must be evaluated simultaneously. By leveraging the parallel processing power of GPUs, graph databases can accelerate complex queries, such as pathfinding, clustering, and graph-based algorithms, improving the overall performance of graph databases. This capability is particularly important for applications like real-time fraud detection, where fast, accurate analysis of connected data is crucial.

Improvements in cloud-based graph database services are also driving the adoption of this technology. Cloud providers such as AWS, Microsoft Azure, and Google Cloud offer managed graph database services that enable organizations to deploy graph databases quickly and without the need for extensive infrastructure management. These cloud-based services offer scalability, security, and integration with other data tools, making it easier for organizations of all sizes to leverage graph databases for their data management needs. The convenience of cloud services, combined with the flexibility of graph databases, is making this technology more accessible to businesses looking to harness the power of connected data.

Why Are Graph Databases Critical for Real-Time Data Analysis, Fraud Detection, and Recommendation Systems?

Graph databases are critical for real-time data analysis, fraud detection, and recommendation systems because they provide an efficient way to model, store, and query complex, interconnected data. In real-time data analysis, graph databases excel at identifying relationships between data points, which is essential in scenarios where the connections between entities are as important as the entities themselves. For instance, in telecommunications, graph databases are used to model call records, network traffic, and user relationships to identify patterns, optimize network performance, and predict future usage. In finance, real-time analytics powered by graph databases help monitor transactions, detect market trends, and prevent fraudulent activities by analyzing the relationships between customers, transactions, and financial instruments.

In fraud detection, graph databases play a critical role by uncovering hidden connections between seemingly unrelated entities, making it easier to detect fraudulent behavior. Traditional databases struggle to handle complex relationships between entities, especially when it comes to large datasets with dynamic relationships. However, graph databases can model intricate connections between individuals, accounts, transactions, and devices, enabling organizations to detect anomalies and uncover patterns of fraud. For example, in banking, graph databases can identify suspicious transactions that involve multiple accounts, third parties, or unusual patterns of interaction, helping prevent financial crimes such as money laundering, identity theft, and credit card fraud.

Recommendation systems also benefit significantly from the graph-based structure. In content platforms, e-commerce, or social media, recommendation engines need to analyze user behavior, preferences, and relationships with other users or items to provide personalized recommendations. Graph databases make it easier to store and query these complex relationships, allowing recommendation systems to offer more accurate and relevant suggestions. For instance, in an e-commerce platform, a graph database can analyze the relationships between users, products, purchase histories, and product attributes, enabling the recommendation engine to suggest products based on similar users' purchases or preferences. Similarly, in streaming platforms, graph databases can analyze viewing histories and content relationships to recommend new shows or movies to users based on their viewing patterns and those of similar users.

Graph databases also excel in cybersecurity applications, where identifying the relationships between network nodes, users, and events is essential for detecting and mitigating cyber threats. In network monitoring, graph databases can track and analyze connections between devices, IP addresses, and network traffic patterns to identify suspicious activity, such as malware infections or unauthorized access attempts. By visualizing and analyzing these connections in real time, security teams can respond to threats more quickly and effectively, reducing the risk of data breaches or cyberattacks.

Furthermore, graph databases support supply chain management by tracking and analyzing the complex relationships between suppliers, products, shipments, and customers. In a supply chain, there are numerous touchpoints where delays, disruptions, or inefficiencies can occur. By modeling the entire supply chain as a graph, businesses can gain real-time visibility into these relationships, allowing them to identify bottlenecks, optimize logistics, and ensure smoother operations. Graph databases provide a flexible way to manage these dynamic relationships, ensuring that businesses can adapt quickly to changes and maintain efficient supply chains.

What Factors Are Driving the Growth of the Graph Database Market?

Several key factors are driving the rapid growth of the graph database market, including the increasing complexity of data in modern applications, the rise of AI and machine learning, the growing demand for real-time analytics, and advancements in cloud-based database solutions. First, the increasing complexity of data in modern applications is a major driver of the graph database market. As businesses collect and generate more data, the relationships between data points are becoming more intricate and harder to manage using traditional relational databases. Applications in social media, e-commerce, financial services, and healthcare all involve complex data networks that require efficient management and analysis of relationships. Graph databases, with their ability to handle highly connected data, are increasingly being adopted to address these challenges.

The rise of AI and machine learning is another significant factor driving the growth of the graph database market. Machine learning models and AI algorithms often rely on analyzing large datasets with complex relationships to generate insights or make predictions. Graph databases provide a more natural way to represent these relationships, allowing for more efficient data processing and improving the accuracy of AI models. For example, in recommendation systems, fraud detection, and knowledge graphs, AI-powered applications use graph databases to analyze the interconnectedness of data points, which enhances decision-making processes and provides deeper insights. As AI adoption continues to grow across industries, the demand for graph databases that can efficiently manage and query connected data is increasing.

The growing demand for real-time analytics is another major factor driving the graph database market. Businesses in sectors like finance, retail, and telecommunications need to process and analyze data in real time to make critical decisions quickly. Whether it's detecting fraudulent transactions, optimizing customer interactions, or managing supply chains, real-time insights are essential for staying competitive. Graph databases, with their ability to rapidly traverse relationships and analyze connections between data points, offer a solution for businesses seeking real-time visibility into their operations. This real-time capability is particularly important in industries that require instant decision-making, such as financial services, where rapid fraud detection can save millions of dollars.

Advancements in cloud-based graph database solutions are also fueling market growth. As cloud adoption continues to rise, companies are turning to cloud-based graph database services for their scalability, flexibility, and ease of use. Cloud providers like AWS, Microsoft Azure, and Google Cloud offer managed graph database services that allow businesses to deploy graph databases quickly without investing in expensive infrastructure or specialized expertise. This has made graph databases more accessible to organizations of all sizes, allowing smaller businesses to leverage the power of connected data analysis without significant upfront costs. The flexibility of cloud-based solutions also enables businesses to scale their graph databases as their data needs grow, providing a cost-effective way to manage increasing volumes of data.

In addition to these factors, regulatory requirements for data transparency and traceability are driving the adoption of graph databases. In industries such as healthcare, finance, and supply chain management, regulations require businesses to track and document the flow of data, transactions, or products. Graph databases offer an efficient way to model and query these complex data relationships, ensuring compliance with regulations while also providing greater visibility into the movement of data or products.

In conclusion, the growth of the graph database market is being driven by the increasing complexity of data, the rise of AI and machine learning, the demand for real-time analytics, and advancements in cloud-based database solutions. As businesses continue to grapple with vast amounts of interconnected data, graph databases will play a central role in powering intelligent applications, improving decision-making, and optimizing processes across a wide range of industries.

SCOPE OF STUDY:

The report analyzes the Graph Database market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software, Services); Type (Property Graph, RDF); Application (Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management, Other Applications)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 22 Featured) -

  • Amazon Web Services, Inc.
  • ArangoDB Inc.
  • Bitnine Co, Ltd.
  • Blazegraph
  • Cambridge Semantics
  • Cray, Inc.
  • DataStax, Inc.
  • Fluree, PBC
  • Franz Inc.
  • IBM Corporation
  • MarkLogic Corporation
  • Memgraph Ltd.
  • Microsoft Corporation
  • MongoDB, Inc.
  • Neo4j, Inc.
  • Objectivity Inc.
  • Ontotext
  • OpenLink Software, Inc.
  • Oracle Corporation
  • Orientdb
  • Sparcity Technologies
  • Stardog
  • Teradata Corporation
  • TIBCO Software, Inc.
  • Tigergraph

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • Global Economic Update
    • Graph Database - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Growing Adoption of Graph Databases in AI, Machine Learning, and Big Data Analytics
    • Expansion of Applications in Fraud Detection, Cybersecurity, and Risk Management
    • Increasing Use of Graph Databases in Healthcare for Patient Data and Genomic Research
    • Role of Graph Databases in Enabling Real-time Recommendations and Personalization
    • Future Directions: Integration of Graph Databases with Quantum Computing for Advanced Insights
    • Market Opportunities in Financial Services for Enhanced Customer Insights and Risk Analysis
    • Role of Graph Databases in Enabling Smarter Supply Chain Management and Logistics
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Graph Database Market Analysis of Annual Sales in US$ Thousand for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Graph Database by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 3: World Historic Review for Graph Database by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 4: World 15-Year Perspective for Graph Database by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2015, 2025 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 6: World Historic Review for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 7: World 15-Year Perspective for Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 9: World Historic Review for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 10: World 15-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Property Graph by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 12: World Historic Review for Property Graph by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 13: World 15-Year Perspective for Property Graph by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for RDF by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 15: World Historic Review for RDF by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 16: World 15-Year Perspective for RDF by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 17: World Recent Past, Current & Future Analysis for Fraud Detection & Prevention by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 18: World Historic Review for Fraud Detection & Prevention by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 19: World 15-Year Perspective for Fraud Detection & Prevention by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Risk, Compliance & Reporting Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 21: World Historic Review for Risk, Compliance & Reporting Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 22: World 15-Year Perspective for Risk, Compliance & Reporting Management by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 23: World Recent Past, Current & Future Analysis for Supply Chain Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 24: World Historic Review for Supply Chain Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 25: World 15-Year Perspective for Supply Chain Management by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 27: World Historic Review for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 28: World 15-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 29: USA Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 30: USA Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 31: USA 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 34: USA 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 35: USA Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 36: USA Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 37: USA 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • CANADA
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 40: Canada 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 41: Canada Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 42: Canada Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 43: Canada 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 44: Canada Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Canada Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 46: Canada 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • JAPAN
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 47: Japan Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 48: Japan Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 49: Japan 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 50: Japan Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Japan Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 52: Japan 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 53: Japan Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 54: Japan Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 55: Japan 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • CHINA
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 56: China Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 57: China Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 58: China 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 59: China Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 60: China Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 61: China 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 62: China Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 63: China Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 64: China 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • EUROPE
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 65: Europe Recent Past, Current & Future Analysis for Graph Database by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 66: Europe Historic Review for Graph Database by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 67: Europe 15-Year Perspective for Graph Database by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2015, 2025 & 2030
    • TABLE 68: Europe Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Europe Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 70: Europe 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 71: Europe Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 72: Europe Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 73: Europe 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 74: Europe Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 75: Europe Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 76: Europe 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • FRANCE
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 77: France Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 78: France Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 79: France 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 80: France Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 81: France Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 82: France 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 83: France Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 84: France Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 85: France 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • GERMANY
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 86: Germany Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Germany Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 88: Germany 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 89: Germany Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 90: Germany Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 91: Germany 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 92: Germany Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Germany Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 94: Germany 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • ITALY
    • TABLE 95: Italy Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 96: Italy Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 97: Italy 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 98: Italy Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Italy Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 100: Italy 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 101: Italy Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 102: Italy Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 103: Italy 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • UNITED KINGDOM
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 104: UK Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 105: UK Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 106: UK 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 107: UK Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 108: UK Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 109: UK 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 110: UK Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 111: UK Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 112: UK 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • REST OF EUROPE
    • TABLE 113: Rest of Europe Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 114: Rest of Europe Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 115: Rest of Europe 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 116: Rest of Europe Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 117: Rest of Europe Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 118: Rest of Europe 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 119: Rest of Europe Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 120: Rest of Europe Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 121: Rest of Europe 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • ASIA-PACIFIC
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 122: Asia-Pacific Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 123: Asia-Pacific Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 124: Asia-Pacific 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 125: Asia-Pacific Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 126: Asia-Pacific Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 127: Asia-Pacific 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 128: Asia-Pacific Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 129: Asia-Pacific Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 130: Asia-Pacific 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • REST OF WORLD
    • TABLE 131: Rest of World Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 132: Rest of World Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 133: Rest of World 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 134: Rest of World Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 135: Rest of World Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 136: Rest of World 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 137: Rest of World Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 138: Rest of World Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 139: Rest of World 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030

IV. COMPETITION