Enterprise Knowledge Graph Market Report 2026

The enterprise knowledge graph market size has grown exponentially in recent years. It will grow from $1.48 billion in 2025 to $1.84 billion in 2026 at a compound annual growth rate (CAGR) of 24.6%. The growth in the historic period can be attributed to growth in enterprise data volumes, increasing complexity of data silos, early adoption of graph databases, rising demand for advanced search capabilities, expansion of enterprise analytics platforms.

The enterprise knowledge graph market size is expected to see exponential growth in the next few years. It will grow to $4.37 billion in 2030 at a compound annual growth rate (CAGR) of 24.1%. The growth in the forecast period can be attributed to increasing integration of knowledge graphs with ai and ml systems, rising demand for real-time decision intelligence, expansion of data-driven automation, growing adoption of contextual search solutions, increased focus on data governance and interoperability. Major trends in the forecast period include increasing adoption of semantic data integration platforms, rising use of knowledge graphs for ai applications, growing focus on enterprise-wide data connectivity, expansion of nlp-driven knowledge discovery, enhanced emphasis on context-aware analytics.

The growing adoption of cloud-based deployment is expected to drive the growth of the enterprise knowledge graph market in the coming years. Cloud-based deployment refers to the hosting and delivery of software applications, services, or resources via cloud computing platforms, enabling users to access and manage them remotely over the internet. The uptake of cloud-based deployment is increasing due to its scalability, cost efficiency, and ability to offer flexible, on-demand access to resources and services. Enterprise knowledge graphs are essential for cloud-based deployment as they support the integration, management, and retrieval of both structured and unstructured data across distributed systems, improving data accessibility, interoperability, and decision-making within cloud environments. For example, in April 2025, according to the American Bar Association, a U.S.-based professional organization, around 75% of attorneys reported using cloud computing for work-related tasks, an increase from 69% in 2023 and approximately 70% in 2022. Therefore, the rising adoption of cloud-based deployment is driving the expansion of the enterprise knowledge graph market.

Leading companies in the enterprise knowledge graph market are concentrating on developing advanced solutions, including AI-based technologies, to enhance data management, improve decision-making, and achieve better business outcomes. These AI-driven solutions utilize artificial intelligence techniques to analyze and manage data within enterprise knowledge graphs, facilitating data integration, entity recognition, relationship discovery, enhanced semantic search, and predictive analytics. This ultimately enhances decision-making and data accessibility for organizations. For example, in June 2024, RelationalAI, a US-based technology firm, introduced the Knowledge Graph Coprocessor for Snowflake users, a powerful new solution designed to assist organizations in building their first knowledge graph in just a few weeks. This offering enables organizations to quickly explore use cases such as Employee, Product, Customer 360, Advanced Analytics, and Natural Language Search. The Knowledge Graph Accelerator is essential for organizations that utilize knowledge graphs to improve insights and streamline their decision-making processes.

In February 2024, the Object Management Group (OMG), a U.S.-based not-for-profit technology standards consortium, acquired the Enterprise Knowledge Graph Foundation (EKGF) for an undisclosed amount. This acquisition aims to advance the development of semantic standards for data management and promote best practices for deploying enterprise knowledge graphs. Integrating EKGF into OMG is expected to strengthen the community and enhance its resource repository, supporting the growth and adoption of enterprise knowledge graphs (EKGs) across different industries. EKGF is an independent, U.S.-based non-profit organization that provides knowledge graph platforms.

Major companies operating in the enterprise knowledge graph market report are Google LLC, Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, SAP SE, Neo4j Inc., TigerGraph Inc., Stardog Union Inc., Ontotext AD, Franz Inc., Semantic Web Company, Cambridge Semantics Inc., TopQuadrant Inc., DataStax Inc., TIBCO Software Inc., Informatica LLC, Expert System S.p.A., PoolParty GmbH, Diffbot Technologies Inc., AllegroGraph Inc., MarkLogic Corporation.

North America was the largest region in the enterprise knowledge graph market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the enterprise knowledge graph market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the enterprise knowledge graph market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The enterprise knowledge graph market consists of revenues earned by entities by providing services such as consulting and strategy development, data integration and ingestion, ontology and schema design, custom knowledge graph development and graph analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The enterprise knowledge graph market also includes sales of graph database platforms, semantic search engines, graph visualization tools, graph analytics and query engines. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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 1-3 business days.