Knowledge Graph Market Report 2025

The knowledge graph market size has grown exponentially in recent years. It will grow from $1.31 billion in 2024 to $1.62 billion in 2025 at a compound annual growth rate (CAGR) of 23.2%. The growth during the historic period can be attributed to the increasing complexity of data, the rise of big data, growing enterprise adoption, the expansion of semantic search, and the enhanced need for data integration.

The knowledge graph market size is expected to see exponential growth in the next few years. It will grow to $3.69 billion in 2029 at a compound annual growth rate (CAGR) of 22.9%. The anticipated growth during the forecast period can be attributed to the rapid adoption of artificial intelligence, the expansion of IoT, the demand for real-time insights, the growth of digital transformation, and the increasing need for data governance. Key trends expected in this period include integration with large language models (LLMs), automated knowledge extraction, advancements in AI, real-time knowledge updates, and the growing demand for explainable AI.

The rapid increase in data volume and complexity is expected to drive the growth of the knowledge graph market in the future. Data volume refers to the total amount of data being created, while data complexity involves the challenges of organizing and understanding data due to its variety and interconnections. The growth in data volume is largely due to the widespread use of the internet and digital devices, which continuously generate vast amounts of information. Knowledge graphs help manage large and complex data sets by organizing the data into interconnected entities and relationships, making data retrieval, integration, and analysis more efficient. For instance, in December 2022, a report by The Linux Foundation revealed that the average data growth for an end-user organization surged to 2,208 TB, a 215.43% increase from the 700 TB recorded in 2021. This rapid growth in data volume and complexity is a key driver for 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 players in the knowledge graph market are Amazon Web Services, Google LLC, International Business Machines Corporation (IBM Corporation), Oracle Corporation, SAP SE, Altair Engineering Inc., Neo4j Inc., DataStax Inc., MarkLogic Corporation, Cambridge Semantics Inc., ArangoDB GmbH, TigerGraph Inc., Ontotext AD, Stardog Union Inc., Fluree PBC, Semantic Web Company GmbH, Datavid Limited, 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 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in knowledge graph report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the knowledge graph market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

A knowledge graph is a structured data model that organizes entities, concepts, and their relationships in a graph format. By aggregating information from various sources, it enables machines to understand context, derive insights, and enhance AI-driven applications such as semantic search, recommendation systems, and enterprise data management.

The primary types of knowledge graphs are general knowledge graphs and industry-specific knowledge graphs. A general knowledge graph is a structured database that integrates and organizes data from diverse sources to represent real-world entities and their interrelationships. These graphs can be deployed through on-premises, cloud-based, or hybrid systems and are used by organizations of various sizes, from large enterprises to small and medium-sized enterprises (SMEs). Knowledge graphs have applications across many domains, such as data analytics and business intelligence, data governance and master data management, infrastructure and asset management, process optimization, resource management, product and configuration management, risk management, compliance and regulatory issues, as well as virtual assistants, self-service data, and digital solutions. They are widely utilized in industries such as healthcare, e-commerce and retail, banking, financial services and insurance (BFSI), government, media and entertainment, among others.

The knowledge graph market research report is one of a series of new reports that provides knowledge graph market statistics, including the knowledge graph industry's global market size, regional shares, competitors with a knowledge graph market share, detailed knowledge graph market segments, market trends and opportunities, and any further data you may need to thrive in the knowledge graph industry. This knowledge graph 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 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 and 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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