Knowledge Graph Market Report 2026

The knowledge graph market size has grown exponentially in recent years. It will grow from $1.61 billion in 2025 to $1.98 billion in 2026 at a compound annual growth rate (CAGR) of 22.9%. The growth in the historic period can be attributed to growth of big data analytics adoption, increasing enterprise data complexity, early adoption of semantic technologies, expansion of enterprise data management platforms, rising need for contextual data insights.

The knowledge graph market size is expected to see exponential growth in the next few years. It will grow to $4.46 billion in 2030 at a compound annual growth rate (CAGR) of 22.5%. The growth in the forecast period can be attributed to increasing deployment of generative ai applications, rising demand for real-time knowledge discovery, expansion of cloud-based data architectures, growing focus on explainable ai systems, increasing investments in intelligent data platforms. Major trends in the forecast period include increasing adoption of enterprise knowledge graphs, rising integration with ai and machine learning models, growing use of semantic search capabilities, expansion of industry-specific knowledge graphs, enhanced focus on data interoperability.

The rapid growth in data volume and complexity is expected to propel the growth of the knowledge graph market going forward. Data volume refers to the total amount of data generated, while data complexity describes the difficulty of organizing, integrating, and interpreting data due to its variety, scale, and interconnected nature. The surge in data volume is primarily driven by the widespread adoption of digital technologies, cloud computing, IoT devices, social media platforms, and enterprise applications, all of which continuously generate vast amounts of structured and unstructured data. Knowledge graphs address these challenges by organizing data into interconnected entities and relationships, enabling advanced data integration, contextual understanding, efficient retrieval, and deeper analytics across disparate data sources. By providing a semantic layer over complex datasets, knowledge graphs improve data discoverability, scalability, and decision-making. For instance, in 2024, according to the U.S. Department of Energy (DOE), a US-based federal agency, Brookhaven National Laboratory (BNL) operated over 255 petabytes (PB) of actively managed data, while approximately 1.2 exabytes (EB) of data were analyzed in 2023. Therefore, the rapid growth in data volume and complexity is driving the growth of the knowledge graph market.

Companies in the knowledge graph market are focusing on advancements that integrate artificial intelligence, such as merging knowledge graphs with data lakehouse technology to improve data processing, scalability, and insights by combining various types of data. Data lakehouse technology merges the large storage capacity of a data lake with the organizational structure of a data warehouse, enabling businesses to store, manage, and analyze all types of data on one platform. For example, in March 2023, Kobai Inc., a US-based software company, introduced Kobai Saturn, the first knowledge graph designed to use data lakehouse architecture to enhance scalability and efficiency. Kobai Saturn consolidates all data use cases into a single semantic layer, improving accessibility and decision-making. By integrating structured knowledge graphs with the flexibility of data lakehouses, this innovation enhances data processing and provides deeper insights.

In April 2024, Altair Engineering Inc., a US-based software company, acquired Cambridge Semantics Inc. for an undisclosed amount. This acquisition allows Altair to utilize Cambridge Semantics' advanced data fabric technology, improving the integration of diverse data types and enhancing enterprise analytics, insights, and decision-making. Cambridge Semantics Inc., a US-based software company, specializes in knowledge graph and data analytics solutions.

Major companies operating in the knowledge graph market report are Amazon Web Services, Google LLC, International Business Machines Corporation (IBM Corporation), Oracle Corporation, SAP SE, Neo4j Inc., DataStax Inc., MarkLogic Corporation, Cambridge Semantics Inc., ArangoDB GmbH, TigerGraph Inc., Ontotext AD, Stardog Union Inc., Fluree PBC, Semantic Web Company GmbH, OpenLink Software Inc., Bitnine Co. Ltd., Franz Inc., Diffbot Technologies Corporation, Redis Inc.

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

The knowledge graph market consists of revenues earned by entities by providing managed services, and enterprise services. The market value includes the value of related goods sold by the service provider or included within the service offering. The knowledge graph market also includes sales of knowledge graph software, graph databases, and enterprise knowledge management systems. 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.