Enterprise Knowledge Graph Market Analysis 2025 – Supporting High-Stakes Corporate Planning

 This report is designed for companies and decision-makers seeking actionable insights on market size, growth, trends, and competitive strategies to drive expansion and success in the Enterprise Knowledge Graph industry.

What is the projected value of the enterprise knowledge graph market by 2029?

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.

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How are technological advancements fueling growth in the enterprise knowledge graph market?

The increasing adoption of cloud-based deployment is expected to propel the growth of the enterprise knowledge graph market going forward. Cloud-based deployment refers to hosting and delivering software applications, services, or resources over the internet through cloud computing platforms, allowing users to access and manage them remotely. The adoption of cloud-based deployment increases due to its scalability, cost-efficiency, and ability to provide flexible, on-demand access to resources and services. An enterprise knowledge graph is required for cloud-based deployment to enable the integration, management, and retrieval of structured and unstructured data across distributed systems, enhancing data accessibility, interoperability, and decision-making in a cloud environment. For instance, in December 2023, according to Eurostat, a Luxembourg-based statistical office of the European Union, approximately 45.2% of European Union enterprises used cloud computing services in 2023, mainly for email hosting, file storage, and various operational tasks, marking a notable increase of 4.2 percentage points from 2021. Further, in 2023, the most widely purchased cloud computing services were email services (82.7%), followed by file storage services (68.0%), and office software (66.3%). Therefore, the increasing adoption of cloud-based deployment is driving the growth of the enterprise knowledge graph market.

Which segment currently leads the enterprise knowledge graph market in terms of revenue share?

The enterprise knowledge graph market covered in this report is segmented –

1) By Type: Context-Rich; External-Sensing; Natural Language Processing

2) By Task Type: Link Prediction; Entity Resolution; Link-Based Clustering

3) By Application: Semantic Search; Recommendation Systems; Data Integration; Knowledge Management; Artificial Intelligence And Machine Learning

4) By End-User: Healthcare; E-Commerce And Retail; Banking, Financial Services, And Insurance; Government; Manufacturing; Transportation And Logistics; Other End Users

Subsegments:

1) By Context-Rich: Domain-Specific Knowledge Graphs; Personalized Knowledge Graphs; Industry-Specific Knowledge Graphs; Context-Aware Recommendation Systems; Context-Driven Search and Discovery Graphs

2) By External-Sensing: Real-Time Data Integration Graphs; IoT-Driven Knowledge Graphs; Social Media And Web Data Integration Graphs; External Data Sources For Knowledge Enrichment; Knowledge Graphs For Market Intelligence And Trend Analysis

3) By Natural Language Processing (NLP): Text Mining And Document Analysis Graphs; Sentiment Analysis And Opinion Mining Graphs; Entity Recognition And Relationship Extraction Graphs; NLP-Powered Search And Knowledge Discovery Graphs; Multilingual NLP Knowledge Graphs; Question-Answering Systems And Conversational AI Graphs

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Which major trends are influencing the growth of the enterprise knowledge graph industry?

Major companies operating in the enterprise knowledge graph market are focusing on developing advanced solutions, such as AI-based solution to improve data management, enhance decision-making, and drive better business outcomes. AI-based solutions use artificial intelligence techniques to analyze and manage data within enterprise knowledge graphs. They help with data integration, entity recognition, relationship discovery, enhanced semantic search, and predictive analytics, ultimately improving decision-making and data accessibility for organizations. For instance, in June 2024, RelationalAI, a US-based technology company, launched powerful Knowledge Graph Coprocessor for Snowflake users, a new solution designed to help organizations build their first knowledge graph in just a few weeks. Its offering lets organizations quickly tap into use cases such as Employee, Product, Customer 360, Advanced Analytics, and Natural Language Search. The Knowledge Graph Accelerator is vital for organizations that leverage knowledge graphs to enhance insights and streamline decision-making processes.

Who are the top competitors in the global enterprise knowledge graph market?

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.

What regional dynamics are shaping the future of the global enterprise knowledge graph market?

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.

How Can Companies Use The Enterprise Knowledge Graph Market Report to Drive Business Results?

This report provides actionable insights tailored for business use—not academic analysis. Companies can leverage the data to:

• Time market entry or expansion using growth forecasts and CAGR trends.

• Develop competitive products by tracking key technology shifts and user preferences.

• Tailor regional strategies with in-depth geographic data and local market dynamics.

• Benchmark and plan partnerships using competitive landscape insights.

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