查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1885997

全球图资料库市场

Graph Database
出版日期: | 出版商: Market Glass, Inc. (Formerly 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2030年，全球图资料库市场规模将达150亿美元。

全球图资料库市场预计在2024年达到53亿美元，到2030年将达到150亿美元，在分析期间（2024-2030年）内复合年增长率（CAGR）为19.0%。本报告分析的细分市场之一－图资料库软体，预计复合年增长率为17.8%，到分析期末将达到91亿美元。图资料库服务细分市场预计在分析期间内复合年增长率为21.0%。

美国市场规模估计为15亿美元，而中国市场预计将以18.5%的复合年增长率成长。

据估计，2024年美国图资料库市场规模将达15亿美元。作为世界第二大经济体，中国预计到2030年市场规模将达到23亿美元，在2024年至2030年的分析期间内，复合年增长率（CAGR）将达到18.5%。其他值得关注的区域市场分析包括日本和加拿大，预计在分析期内，这两个国家的复合年增长率将分别达到16.6%和15.9%。在欧洲，德国预计将以约13.0%的复合年增长率成长。

全球图资料库市场—主要趋势与驱动因素摘要

为什么图资料库对于管理复杂的资料关係和驱动现代应用程式至关重要？

图资料库正迅速崛起，成为管理复杂资料关係和建构下一代智慧应用的关键工具。那么，图资料库为何如此重要？传统的关联资料库将资料存储在表中，查询资料关係需要多次连接操作，而图资料库则将资料表示为节点（实体）和边（关係）。这使得可视化、分析和查询资料点之间的复杂连接变得轻而易举。这种结构非常适合处理高度互联资料的应用，例如社交网路、建议引擎、诈欺侦测系统和供应链管理。

随着企业和各行各业越来越依赖资料驱动的洞察，图资料库能够发现传统资料库常常忽略的模式、关係和趋势。无论是绘製社群网路图、识别基因组资料中的关係，或是追踪金融交易以侦测诈欺行为，图资料库都能实现更快的查询速度和更有效率的资料关係探索。随着巨量资料、人工智慧和机器学习的兴起，图资料库为处理复杂且相互关联的数据提供了一种强大的方式，使其成为希望利用这些高级分析技术的企业不可或缺的技术。

技术进步如何提升图资料资料库的效能和功能？

技术进步显着提升了图资料库的效能和功能，使其更具可扩展性、灵活性，并能应用于更广泛的领域。其中一项最重要的进步是分散式图资料库的开发，它允许资料分布在多个伺服器或云端实例上。这种分布方式使图资料库能够处理大规模的资料集和更复杂的查询，从而使企业能够随着资料量的成长扩展其图资料库基础架构。分散式图资料库在通讯、金融服务和电子商务等行业尤其重要，因为在这些行业中，对大规模资料集的即时分析对于决策至关重要。

另一个重要进展是图查询语言（例如 Cypher、Gremlin 和 SPARQL）的改进。这些语言使开发人员能够更直观、有效率地与图资料库互动。它们专为处理图结构而设计，可以轻鬆说明探索资料点之间关係的复杂查询。例如，为 Neo4j 开发的 Cypher 简化了图探索，查询查询大规模图中的路径、相邻节点和模式变得轻而易举。这些专用查询语言提高了图资料库的可用性，降低了开发人员和资料分析师的学习难度，并使他们能够从资料中提取更深入的洞察。

图资料库与机器学习和人工智慧的融合正在改变企业分析和利用数据的方式。透过将基于图的资料模型与机器学习演算法结合，企业可以建立更复杂的建议、预测和异常检测系统。例如，机器学习模型可以利用储存在图资料库中的关联数据，分析产品、客户和行为之间的关係，从而改善电子商务和内容平台上的使用者建议。在诈欺侦测方面，基于图的机器学习模型可以揭示交易资料中隐藏的关係，并识别出使用传统资料库难以侦测到的可疑活动。

此外，GPU（图形处理器）等硬体的进步使得图处理和分析速度更快。 GPU专为平行处理而设计，因此非常适合探索需要同时评估多个关係的大规模图表资料集。透过利用GPU的平行处理能力，图资料库可以加速路径查找、丛集和基于图的演算法等复杂查询，从而提高整体效能。这种能力在即时诈欺侦测等应用中尤其重要，因为在这些应用中，快速且准确地分析关联资料至关重要。

云端基础图资料库服务的演进也推动了这项技术的普及。 AWS、Microsoft Azure 和 Google Cloud 等云端服务供应商提供託管式图资料库服务，让企业无需进行大规模的基础架构管理即可快速部署图资料库。这些云端服务具备可扩展性、安全性和与其他资料工具的整合性，让各种规模的企业都能轻鬆利用图资料库满足其资料管理需求。云端服务的便利性与图资料库的灵活性相结合，使得这项技术更容易被希望利用连网资料力量的企业所接受。

为什么图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高效建模、储存和查询复杂、相互关联资料的方法。在即时资料分析中，图资料库擅长识别资料点之间的关係，因此在实体间连结与实体本身同等重要的场景中，图资料库不可或缺。例如，在通讯业，图资料库用于对通话记录、网路流量和用户关係进行建模，以识别模式、优化网路效能并预测未来使用情况。在金融业，利用图资料库进行即时分析，可以分析客户、交易和金融工具之间的关係，从而帮助监控交易、检测市场趋势并预防诈欺。

在诈欺侦测领域，图资料库发挥着至关重要的作用，它能够揭示看似无关的实体之间隐藏的联繫，从而更容易发现诈欺活动。传统资料库难以处理实体之间复杂的关联关係，尤其是在具有动态关係的大型资料集中。然而，图资料库可以对个人、帐户、交易和装置之间的复杂关联进行建模，使组织能够侦测异常情况并发现诈欺模式。例如，在银行业，图资料库可以识别涉及多个帐户、第三方或异常互动模式的可疑交易，从而帮助预防洗钱、身分盗窃和卡片诈骗等金融犯罪。

建议系​​统也从基于图的结构中获益匪浅。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行为、偏好以及与其他使用者和商品的关係，从而提供个人化提案。图资料库能够轻鬆储存和查询这些复杂的关係，使建议系统能够做出更准确、更相关的提案。例如，在电子商务平台中，图资料库分析使用者、产品、购买历史和产品属性之间的关係，从而能够根据类似使用者的购买历史和偏好提案产品。同样，在串流媒体平台中，图资料库分析观看历史和内容之间的关係，从而根据用户的观看模式和类似用户的观看趋势推荐新的剧集和电影。

图资料库在网路安全领域也表现出色。识别网路节点、使用者和事件之间的关係对于侦测和缓解网路威胁至关重要。网路监控可以追踪和分析装置之间的连线、IP 位址和网路流量模式，从而识别可疑活动，例如恶意软体感染和未授权存取试验。即时视觉化和分析这些连接，使安全团队能够快速有效地应对威胁，从而降低资料外洩和网路攻击的风险。

图资料库透过追踪和分析供应商、产品、货运和客户之间复杂的关联关係，协助供应链管理。供应链涉及众多环节，这些环节都可能导致延误、中断和效率低下。透过将整个供应链建模为图，企业可以即时视觉化这些关联关係，识别瓶颈，优化物流，并确保营运顺畅。图资料库提供了一种灵活的方式来管理这些动态关联关係，确保企业能够快速适应变化并维持高效的供应链。

哪些因素正在推动图资料库市场的成长？

推动图资料库市场快速成长的关键因素包括：现代应用中资料复杂性的不断增加、人工智慧和机器学习的兴起、对即时分析日益增长的需求以及云端基础资料库解决方案的进步。首先，现代应用中资料复杂性的不断增加是图资料库市场的主要驱动力。随着企业收集和产生更多数据，资料点之间的关係变得越来越复杂，使得使用传统关联资料库进行管理变得困难。社交媒体、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路，需要对数据关係进行高效的管理和分析。图资料库能够处理高度关联数据，因此正被越来越多地用于应对这些挑战。

人工智慧和机器学习的兴起也是推动图资料库市场成长的关键因素。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规模资料集来产生洞察并进行预测。图资料库提供了一种更自然的方式来表示这些关係，从而提高资料处理效率和人工智慧模型的准确性。例如，建议系统、诈欺侦测和知识图谱等人工智慧应用都使用图资料库来分析资料点之间的相互联繫，以增强决策流程并提供更深入的洞察。人工智慧在各行业的日益普及正在推动对图资料库的需求，因为图数据库能够有效地管理和搜寻关联数据。

对即时分析日益增长的需求也是推动图资料库市场发展的主要因素之一。金融、零售和通讯等行业需要即时处理和分析数据，以便快速做出关键决策。无论是非法贸易侦测、客户服务最佳化或供应链管理，即时洞察对于保持竞争优势至关重要。图资料库能够快速探索资料点之间的关係并分析其连接，从而为寻求即时了解自身营运状况的企业提供解决方案。这种即时能力在金融服务等行业尤其重要，因为在这些行业中，即时决策至关重要，而快速的诈欺检测可以避免数百万美元的损失。

云端基础图资料库解决方案的进步也推动了市场成长。随着云端运算的普及，企业纷纷采用云端基础图资料库服务，因为它们具有可扩展性、灵活性和易用性。 AWS、Microsoft Azure 和 Google Cloud 等云端服务供应商提供託管图资料库服务，让企业无需昂贵的基础架构投资或专业知识即可快速部署图资料库。这使得各种规模的组织都能更轻鬆地使用图资料库，即使是中小企业也能利用互联资料分析的强大功能，而无需承担大量的前期成本。云端基础解决方案的灵活性使企业能够根据资料需求的成长扩展图资料库，从而以经济高效的方式管理不断增长的资料量。

除了上述因素外，数据透明度和可追溯性的监管要求也在推动图资料库的普及。在医疗保健、金融和供应链管理等行业，法规要求追踪和记录资料、交易和产品的流动。图资料库提供了一种高效建模和查询这些复杂资料关係的方法，既能确保合规性，又能提高资料和产品流动的可视性。

总之，图资料库市场的成长是由资料复杂性的增加、人工智慧和机器学习的兴起、对即时分析的需求以及云端基础资料库解决方案的进步所驱动的。随着企业不断处理大量互联数据，图资料库将在赋能智慧应用、改善决策和优化各行各业的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（诈欺侦测和预防、风险、合规和报告管理、供应链管理及其他应用）

受访公司范例

  • 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

人工智慧集成

我们正在利用检验的专家内容和人工智慧工具来变革市场和竞争情报。

Market Glass, Inc. 并没有采用查询LLM 或产业专用的SLM 的典型方法，而是建立了一个由世界各地领域专家精心策划的内容库，其中包括视频转录、博客、搜寻引擎研究以及大量的公司、产品/服务和市场数据。

关税影响係数

在最新发布的报告中，Market Glass, Inc. 将关税对地理市场的影响纳入考量，并根据公司总部所在地、製造地以及进出口（成品和OEM产品）情况，预测企业竞争地位的变化。这种复杂多变的市场现实会从多个方面影响竞争对手，包括增加销货成本、降低盈利和重组供应链，同时也会影响微观和宏观市场动态。

目录

第一章调查方法

第二章执行摘要

  • 市场概览
  • 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
  • 亚太地区
  • 世界其他地区

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

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Trade Shocks, Uncertainty, and the Structural Rewiring of the Global Economy
    • 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