Enterprise Knowledge Graph Market Report 2025

This Enterprise Knowledge Graph market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The enterprise knowledge graph market size has grown exponentially in recent years. It will grow from $1.18 billion in 2024 to $1.48 billion in 2025 at a compound annual growth rate (CAGR) of 24.8%. The growth in the historic period can be attributed to growth in the volume and variety of enterprise data, growth in the number of data-driven business initiatives, growth in the demand for automated data processing, growth in the number of data sources, and increasing adopting advanced data visualization tools.

The enterprise knowledge graph market size is expected to see exponential growth in the next few years. It will grow to $3.54 billion in 2029 at a compound annual growth rate (CAGR) of 24.4%. The growth in the forecast period can be attributed to increasing demand for data integration, rising need for enhanced data analytics, growing adoption of artificial intelligence, rising focus on improving data accuracy, and growing investment in enterprise data architecture. Major trends in the forecast period include technological advancements, adoption of graph databases, integration with AI, cloud-based solutions, hybrid graph models, and blockchain technology.

The increasing 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 over the internet via cloud computing platforms, allowing users to access and manage them remotely. The rising popularity of this method is due to its scalability, cost-effectiveness, and ability to provide flexible, on-demand access to resources and services. Enterprise knowledge graphs are key to cloud-based deployment as they enable the integration, management, and retrieval of both structured and unstructured data across distributed systems, enhancing data accessibility, interoperability, and decision-making within cloud environments. For instance, in December 2023, Eurostat, the statistical office of the European Union, reported that approximately 45.2% of EU enterprises utilized cloud computing services, primarily for email hosting, file storage, and other operational tasks, marking a 4.2 percentage point rise since 2021. Additionally, in 2023, the most commonly purchased cloud services were email (82.7%), followed by file storage (68%) and office software (66.3%). Therefore, the growing adoption of cloud-based deployment is contributing to 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 are Google LLC, Microsoft Corporation, Amazon Web Services Inc., Accenture plc, International Business Machines Corporation, Oracle Corporation, SAP SE, Cognizant Technology Solutions Corporation, Infosys Limited, TIBCO Software Inc., Neo4j Inc., DataStax Inc., Mindtickle Inc., Semantic Web Company, BenevolentAI Ltd., Cambridge Semantics Inc., Yewno Inc., Informatica LLC, TigerGraph Inc., TopQuadrant Inc., Ontotext AD, Stardog Union Inc., Expert System S.p.A., Franz Inc.

North America was the largest region in the enterprise knowledge graph market in 2024. 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, 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, Russia, South Korea, UK, USA, Canada, Italy, Spain.

An enterprise knowledge graph is a structured representation of an organization's data and knowledge, linking various data sources, concepts, entities, and relationships within a graph-based model. It unifies information from across the enterprise, making it more accessible and useful for tasks such as search, analytics, decision-making, and AI applications.

The main types of enterprise knowledge graphs include context-rich, external-sensing, and natural language processing-based graphs. Context-rich knowledge graphs combine multiple data sources to offer detailed insights and a comprehensive understanding of data relationships. These graphs are used for tasks such as link prediction, entity resolution, and link-based clustering and are applied in areas such as semantic search, recommendation systems, data integration, knowledge management, as well as artificial intelligence and machine learning. They serve various industries, including healthcare, e-commerce and retail, banking, financial services, and insurance, government, manufacturing, transportation, logistics, and more.

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

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.

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