Graph Database Market Report 2025

The graph database market size has grown exponentially in recent years. It will grow from $3.23 billion in 2024 to $4.03 billion in 2025 at a compound annual growth rate (CAGR) of 24.5%. The growth in the historic period can be attributed to increased complexity of data relationships, social media and network analysis, need for real-time data processing, advancements in data analytics, government and intelligence sector adoption, healthcare data management.

The graph database market size is expected to see exponential growth in the next few years. It will grow to $9.59 billion in 2029 at a compound annual growth rate (CAGR) of 24.2%. The growth in the forecast period can be attributed to digital transformation initiatives, supply chain and logistics optimization, graph-based search engines, data privacy and compliance, increasing automotive industry applications. Major trends in the forecast period include advancements in graph query languages, integration with machine learning and ai, use cases in fraud detection and cybersecurity, cloud-based graph database services, graph database adoption in life sciences.

The growing adoption of artificial intelligence (AI) is anticipated to boost the graph database market in the future. AI refers to the simulation of human intelligence in machines programmed to perform tasks that typically require cognitive abilities such as learning, reasoning, problem-solving, perception, and decision-making. This rise in AI adoption can be attributed to its ability to streamline processes, enhance productivity, improve data availability, offer flexibility and integration, and support innovative business practices. Graph databases facilitate artificial intelligence by effectively managing and analyzing intricate relationships between data points, leading to improved pattern recognition, recommendations, and decision-making. For example, in May 2022, International Business Machines Corporation (IBM), a US-based company, reported that 35% of businesses worldwide utilized artificial intelligence in 2022, marking a 4% increase from 2021. Additionally, the number of organizations adopting AI rose by 13% in 2022 compared to the previous year. Consequently, the rising adoption of artificial intelligence is driving the growth of the graph database market.

The escalating need for personalized marketing strategies is anticipated to fuel the expansion of the graph database market. Personalized marketing involves tailoring messages and product offers to clients based on data analysis and digital technologies. Graph databases excel in personalized marketing as they can efficiently store and process vast amounts of interconnected data, encompassing social media interactions, purchase histories, and customer profiles. Yieldify's report in November 2021 indicated that over 74% of surveyed organizations had adopted website personalization programs. By the end of 2022, an estimated 93% of these companies are predicted to embrace advanced features like dynamic segmentation. This surge in demand for personalized marketing initiatives is a key factor driving the growth of the graph database market.

Key companies in the graph database market are concentrating on creating fully managed graph databases to streamline deployment, improve scalability, minimize maintenance efforts, and facilitate seamless integration with cloud platforms for enhanced performance and efficiency. A fully managed graph database is specifically engineered to manage the complex relationships inherent in applications like social networking, fraud detection, and knowledge graphs. It employs advanced algorithms to analyze and identify potentially harmful domains, thereby safeguarding users against phishing and other cyber threats. For example, in August 2024, Amazon Web Services, Inc., a US-based company, introduced Mithra, a graph database that supports real-time querying capabilities. This allows security teams to swiftly respond to emerging threats by quickly analyzing the relationships and patterns related to malicious activities. As a part of the AWS ecosystem, Mithra integrates effortlessly with other Amazon services, enhancing its functionality and ensuring smooth data flow across platforms.

Major players in the graph database market are innovating by developing high-performance graph databases to cater to larger customer bases, drive sales, and augment revenue. High-performance graph databases are specialized databases tailored to store and manipulate graph structures effectively for semantic queries involving nodes, edges, and properties. Aerospike's introduction of Aerospike Graph in June 2023 addresses the demand for a high-performance, enterprise-scale graph database offering real-time performance at a reasonable cost. By utilizing Aerospike's robust database as the storage layer, Aerospike Graph provides database administrators and developers with simplicity, ease of use, and optimized resource utilization. Its unique architecture enables independent scaling of compute and storage infrastructure, ensuring consistent throughput and low latencies even with extensive data volumes.

In May 2022, Integral Venture Partners, a private equity firm headquartered in the UK, completed the acquisition of a 76% ownership stake in Ontotext. The specific financial details of this transaction remain undisclosed. The funds infused into this acquisition are earmarked for a capital increase and the repurchase of secondary shares within Ontotext. Ontotext is a prominent European company, specializes in delivering graph database solutions tailored for RDF-based semantic technology applications. Integral Venture Partners' majority ownership signifies a strategic investment in Ontotext's innovative offerings within the semantic technology domain.

Major companies operating in the graph database market are Oracle Corporation, International Business Machines Corporation (IBM), Amazon Web Services Inc., DataStax Inc., Stardog Union Inc., Microsoft Corporation, SAP SE, Teradata Corporation, MarkLogic Corporation, Neo4j Inc., TigerGraph Inc., Objectivity Inc., Franz Inc., ArangoDB GmbH, Cambridge Semantics Inc., OrientDB Ltd., MongoDB Inc., Bitnine Co. Ltd., Ontotext AD, Grakn Labs Pte Ltd, Dgraph Labs Inc., JanusGraph, Expero Inc.,mRedis Labs Ltd.

North America was the largest region in the graph database market in 2024. The regions covered in the graph database market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the graph database market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Graph databases represent tailored platforms designed for constructing and managing graphs. These systems interconnect specific data nodes and establish relationships in the form of graphs, facilitating user queries and enabling a more realistic comprehension of factual information.

Graph databases primarily manifest in two forms such as RDF and labelled property graphs. Labelled property graphs are a specific type of graph database that consists of nodes and relationships, commonly referred to as LPG-style databases. The key components encompass software and services, deployable in both cloud-based and on-premises environments. These databases find diverse applications spanning consumer analytics, deep learning, regulatory compliance, recommendation engines, identity and access management, fraud detection, supply chain management, and various other domains. They are utilized across sectors like banking, financial services, insurance (BFSI), retail, e-commerce, IT, telecommunications, transportation, logistics, and more.

The graph database market research report is one of a series of new reports that provides graph database market statistics, including graph database industry global market size, regional shares, competitors with a graph database market share, detailed graph database market segments, market trends and opportunities, and any further data you may need to thrive in the graph database industry. This graph database market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The graph database includes revenues earned by entities by providing services such as storage of data, query and modify network graphs. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 3-5 business days.