The Business Research Company’s report on the Knowledge Graph Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
Which emerging drivers are set to accelerate the growth of the knowledge graph market further?
The rapid growth in data volume and complexity is expected to propel the growth of the knowledge graph market going forward. Data volume is the total amount of data created, while data complexity refers to how difficult it is to organize and understand due to its variety and connections. The increasing data volume is a result of the widespread use of the internet and digital devices, which continuously generate large amounts of information. Knowledge graphs handle large and complex data volumes by organizing information into interconnected entities and relationships, enabling efficient data retrieval, integration, and analysis. For instance, in December 2022, according to a report published by The Linux Foundation, a US-based non-profit consortium, data growth for an average end-user organization surged to 2,208 TB, marking a 215.43% increase, nearly three times the 700 TB recorded in 2021. Therefore, the rapid growth in data volume and complexity is driving the growth of the knowledge graph market.
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What are the key factors influencing the forecasted market size of the knowledge graph industry?
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 in the historic period can be attributed to increasing data complexity, rise of big data, growing enterprise adoption, expansion of semantic search, and enhanced data integration needs.
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 growth in the forecast period can be attributed to rapid artificial intelligence adoption, expansion of IoT, demand for real-time insights, growth of digital transformation, and rising need for data governance. Major trends in the forecast period include integration with LLMs, automated knowledge extraction, advancements in AI, real-time knowledge updates, and growing demand for explainable AI.
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Who are the leading competitors in the knowledge graph market?
Major companies operating 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.
Which emerging trends are set to transform the knowledge graph market landscape?
Major companies operating in the knowledge graph market are focusing on artificial intelligence integration, such as integration of knowledge graphs with data lakehouse technology to improve data processing, scalability, and insights by combining different data types. Data lakehouse technology is a system that merges the storage capacity of a data lake with the organization of a data warehouse. It allows businesses to store, manage, and analyze all types of data in a single platform. For instance, in March 2023, Kobai Inc., a US-based software company, launched kobai saturn, the first knowledge graph designed to utilize data lakehouse architecture for better scalability and efficiency. Kobai saturn unifies all data use cases into a single semantic layer, making information more accessible and improving decision-making. This integration allows businesses to combine structured knowledge graphs with the flexibility of data lakehouses, enhancing data processing and insights.
How do different geographies compare in terms of market share and growth potential in the knowledge graph market?
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 the knowledge graph market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Which major segments of the knowledge graph market are experiencing the fastest growth?
The knowledge graph market covered in this report is segmented –
1) By Type: General Knowledge Graph, Industry Knowledge Graph
2) By Deployment Type: On-Premises, Cloud-Based, Hybrid
3) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises
4) By Application: Data Analytics And Business Intelligence, Data Governance And Master Data Management, Infrastructure And Asset Management, Process Optimization And Resource Management, Product And Configuration Management, Risk Management, Compliance, And Regulatory, Virtual Assistants, Self-Service Data, And Digital
5) By End-User: Healthcare, E-Commerce And Retail, Banking, Financial Services, And Insurance (BFSI), Government, Media And Entertainment, Other End-Users
Subsegments:
1) By General Knowledge Graph: Semantic Search, Recommendation Systems, Virtual Assistants, Question Answering Systems
2) By Industry Knowledge Graph: Healthcare Knowledge Graphs, Financial Knowledge Graphs, Retail Knowledge Graphs, Telecom Knowledge Graphs, Manufacturing Knowledge Graphs, Media And Entertainment Knowledge Graphs, Legal And Compliance Knowledge Graphs
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How is the knowledge graph market defined?
A knowledge graph is a structured data model that organizes entities, concepts, and their relationships in a graph format. It aggregates information from various sources, allowing machines to understand context, derive insights, and enhance AI-driven applications such as semantic search, recommendation systems, and enterprise data management.
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