세계의 그래프 데이터베이스 시장

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