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Report Overview
The graph database market attained a value of USD 2.58 Billion as of 2025 and is anticipated to grow at a CAGR of 23.50% during the forecast period of 2026 to 2035. The increasing need for big data analytics in real-time is fueling the market of graph databases. Companies are increasingly depending upon graph databases to identify intricate relationships within data, which accelerates decision-making and helps improve personalization, fraud detection, and network analysis across verticals. The market is thus expected to reach a value of nearly USD 21.30 Billion by 2035.
2025
Base Year
2019-2025
Historical Period
2026-2035
Forecast Period
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Graph databases are increasingly being used in AI and machine learning because they can represent relationships naturally. Their application in recommendation engines, fraud detection, and knowledge graphs is enabling organizations to manage complex, interconnected data much better than with traditional databases.
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Graph databases are being increasingly used by enterprises to support customer analytics, network operations, and supply chain insights. They can query related data with high speed and flexibility, making them central to digital transformation plans, particularly in industries such as finance, telecom, and retail, thereby increasing the growth of the graph database market.
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Graph databases experienced more than a 25% increase in popularity index from 2020 to 2023. One of the leading vendors, Neo4j, has exceeded 800 commercial customers worldwide, indicative of the increasing enterprise demand for relationship-centric data platforms.
Competitive Landscape
Leading graph database market players are emphasizing cloud-based graph solutions, GenAI workload support, and enhanced data visualization. Low-code platforms, developer tools, and self-service capabilities are seeing a high emphasis on expanding user adoption. Strategic partnerships and ongoing innovation in graph-powered AI and machine learning use cases are at the core of their initiatives in addressing enterprise needs across industries.
Key Industry Players
Oracle Corporation, founded in 1977 and having headquarters in Texas, United States, provides Oracle Spatial and Graph. It is capable of supporting property graphs and RDF data models, allowing users to execute sophisticated graph analytics in Oracle Database. It is broadly utilized in fraud prevention, social network analysis, and recommendation systems.
IBM Corporation, established in 1911 and headquartered in New York, United States, offers IBM Graph, a cloud-managed graph database service on IBM Cloud. It is Gremlin query language supported and allows real-time data processing, pattern detection, and relationship mapping in various industries such as finance, retail, and healthcare.
Amazon Web Services, Inc., founded in 2006 and based in Seattle, Washington, United States, provides Amazon Neptune, a graph database service that supports property graph and RDF models. It allows businesses to create knowledge and identity graphs, and fraud detection systems, with native integration throughout the AWS environment.
DataStax, Inc., which was established in 2010 and has its headquarters in California, USA, provides DataStax Enterprise Graph, which is built on Apache Cassandra. It supports TinkerPop Gremlin, and it drives real-time, scalable applications for logistics, customer experience, and recommendations through its high-availability and strong distributed architecture.
Other key players profiled in the graph database market include Stardog Union, Inc., and Neo4j, Inc., among others.
Graph Database Market Report Snapshots
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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Key Questions Answered in the Report
In 2025, the graph database market reached an approximate value of USD 2.58 Billion.
The market is assessed to grow at a CAGR of 23.50% between 2026 and 2035.
The market is estimated to witness healthy growth in the forecast period of 2026-2035 to reach a value of around USD 21.30 Billion by 2035.
The major drivers of the market include the growing demand for solutions that can process low-latency queries, upsurge in the penetration of connected data, rise in the need for better response time and accuracy, increasing adoption of cloud-based solutions, proliferation of Internet of Things (IoT), and investments in new technologies.
Real-time big data mining with visualisation of results and the increasing adoption of artificial intelligence (AI)-based graph database tools and services are the key trends propelling the growth of the market.
The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
The major components of graph database are software and services.
On-premises and cloud are the leading deployment models in the global graph database market.
The significant types of databases in the market are relational (SQL) and non-relational (NoSQL).
The major analysis segments in the market are path analysis, connectivity analysis, community analysis, and centrality analysis.
The leading applications of graph database in the market are fraud detection and risk management, master data management, customer analytics, identity and access management, recommendation engine, and privacy and risk compliance, among others.
The major organisation sizes considered in the market report are large enterprises and small and medium enterprises.
BFSI, retail and e-commerce, IT and telecom, identity and access management, healthcare and life science, government and public sector, media and entertainment, manufacturing, and transportation and logistics, among others, are the significant industry verticals in the market.
The major players in the market are Oracle Corporation, IBM Corporation, Amazon Web Services, Inc., DataStax, Inc., Stardog Union, Inc., and Neo4j, Inc., among others.
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