Knowledge Graph Market Size, By Task Type (Link Prediction, Entity Resolution, Link-based Clustering), By Data Source (Structured, Unstructured, Semi-structured), By Organization Size (SMEs, Large Enterprises), Application, Type, End Use, Forecast 2023 – 2032
Published Date: March - 2025 | Publisher: MIR | No of Pages: 240 | Industry: Media and IT | Format: Report available in PDF / Excel Format
View Details Buy Now 2890 Download Sample Ask for Discount Request CustomizationKnowledge Graph Market Size, By Task Type (Link Prediction, Entity Resolution, Link-based Clustering), By Data Source (Structured, Unstructured, Semi-structured), By Organization Size (SMEs, Large Enterprises), Application, Type, End Use, Forecast 2023 – 2032
Knowledge Graph Market Size
Knowledge Graph Market size stood at USD 1 billion in 2022 and is estimated to reach a CAGR of more than 13.5% from 2023 to 2032. The adoption of root cause analysis platforms combined with AI solutions and knowledge graphs to monitor IT environments is fueling the market growth. Such platforms leverage sophisticated algorithms and knowledge graphs to effectively detect and diagnose problems in IT systems.
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For example, on July 2023, Webb.ai released an early access for the continuous automated root cause analysis software. The software uses a mixture of generative AI and capabilities of machine learning algorithms inherited from Large Language Models (LLMs) to aggregate alerts into sophisticated insights. The insights are given in natural language to DevOps team members.
| Report Attribute | Details |
|---|---|
| Base Year | 2022 |
| Knowledge Graph Market Size in 2022 | USD 1 Billion |
| Forecast Period | 2023 to 2032 |
| Forecast Period 2023 to 2032 CAGR | 13.5% |
| 2032 Value Projection | USD 3.7 Billion |
| Historical Data for | 2018 to 2022 |
| No. of Pages | 319 |
| Tables, Charts & Figures | 458 |
| Segments covered | Type, Task Type, Data Source, Organization Size, Application, End-use, and Region |
| Growth Drivers |
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| Pitfalls & Challenges |
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What are the growth opportunities in this market?
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Use cases like search engines, recommendation systems, and data integration are driving the demand for the market. Search engines leverage knowledge graphs to return more relevant and accurate search results. Recommendation systems use these graphs to learn user behavior and serve them personalized content. In data integration, knowledge graphs make it easy to connect disparate data sources. These applications showcase the versatility and effectiveness of knowledge graphs, pushing their adoption across diverse sectors and enhancing their demand in the market.
Keeping high-quality & consistent data presents some big challenges in the knowledge graph market. Merging details from different sources usually leads to dissimilar data formats and standards. Defective or conflicting data can result in erroneous analyses and unsound insights. Maintaining data quality demands thorough cleansing, transformation, and validation processes. Moreover, as knowledge graphs continue to change, it is a never-ending task to maintain data accuracy, requiring solid governance models and ongoing monitoring in order to ensure the integrity of the connected information in the graph.
COVID-19 Impact
The COVID-19 pandemic accelerated the adoption of knowledge graph technologies. With the increased reliance on data-driven decision-making in healthcare and public health sectors, knowledge graphs have played a pivotal role in organizing vast amounts of pandemic-related data. These graphs facilitated rapid analysis, aiding researchers, healthcare professionals, and policymakers in understanding the virus spread, treatment patterns, and vaccine distribution. The pandemic underscored the importance of structured data representation, boosting the demand for knowledge graph solutions.
Knowledge Graph Market Trends
The launch of geospatial knowledge graphs for the handling of geospatial datasets is fueling the market growth. Sophisticated graph technologies increase the structure and use of location-based data. For example, in May 2023, Foursquare, an independent geospatial technology platform, launched its geospatial knowledge graph. This new strategy assisted in structuring geospatial datasets with the help of graph technologies and the H3 grid system, transforming the way companies derived value from location data.
The increasing demand for semantic search plays a significant role in driving the market demand. Knowledge graph-powered semantic search engines go beyond mere keyword matching. They comprehend the meaning, intent, and context between words and deliver highly relevant & contextually correct search results to the users. With the amount of online content growing exponentially, users and businesses need more advanced and accurate search capabilities. Knowledge graphs facilitate this with the addition of layers of semantic interpretation, making them essential for contemporary search engines and applications.
Knowledge Graph Market Analysis
Learn more about the key segments shaping this market
Based on type, the market is divided into context-rich knowledge graphs, external-sensing knowledge graphs, and NLP knowledge graphs. The context-rich knowledge graphs segment is expected to grow at a CAGR of over 12% by 2032. Context-rich knowledge graphs are gaining traction due to their ability to provide an enhanced understanding of data. Unlike traditional knowledge graphs, they incorporate context, allowing for a more nuanced interpretation of relationships and information. This contextual awareness is crucial in scenarios where the meaning of data points depends on specific circumstances. By capturing context, these graphs offer a deeper & more accurate analysis, enabling businesses to extract insights that might otherwise be overlooked, thus driving their adoption across various sectors within the market.
Learn more about the key segments shaping this market
Based on end user, the knowledge graph market is categorized into healthcare, e-commerce & retail, BFSI, government, media & entertainment, manufacturing, transportation & logistics, and others. The BFSI segment was valued at over USD 230 million in 2022. In the BFSI sector, knowledge graphs are driving advancements in fraud detection and prevention. By meticulously organizing vast amounts of data related to customer transactions and behavior, knowledge graphs create detailed customer profiles. These profiles, enriched with transactional data, enable sophisticated fraud detection algorithms. By understanding intricate patterns and relationships, BFSI institutions can swiftly identify and prevent fraudulent activities, ensuring financial security for both the institutions and its customers, making knowledge graphs indispensable in enhancing the sector's security measures.
Looking for region specific data?
North America led the knowledge graph market with a share of over 35% in 2022. The strategic partnerships to accelerate the migration from varied data sources to valuable data products are significantly propelling the North American market. These collaborations leverage innovative technologies and expertise to streamline data processing, enhance efficiency, and drive insightful decision-making. For instance, in August 2022, Modak Analytics, a prominent data engineering solutions company, and Neo4j, the foremost graph data platform globally, forged a strategic partnership. This collaboration empowered enterprises to expedite the transition from diverse data sources to valuable data products, leveraging the combined capabilities of Modak Nabu and Neo4j.
Knowledge Graph Market Share
Major players operating in the knowledge graph industry are
- AWS
- Cambridge Semantics
- Franz Inc.
- IBM Corporation
- Microsoft
- Neo4j
- Ontotext
- Oracle
- PoolParty
- Stardog
The market is highly competitive with dominant players such as IBM and Microsoft. Major players focus on R&D, aiming to enhance graph algorithms and data integration technologies. Partnerships and acquisitions also drive market size, fostering a competitive environment.
Knowledge Graph Industry News
- In March 2023, Kobai, the no-code knowledge graph platform, introduced Kobai Saturn, the industry's pioneering knowledge graph utilizing the scale, performance, and cost-effectiveness of the lakehouse architecture. Extending the functionalities of the Kobai Platform, Kobai Saturn integrates all use cases and functions into a unified semantic layer, offering enhanced capabilities for seamless data management and analysis.
The knowledge graph market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD Million) from 2018 to 2032, for the following segments
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By Type, 2018 – 2032
- Context-rich knowledge graphs
- External-sensing knowledge graphs
- NLP knowledge graphs
By Task Type, 2018 – 2032
- Link prediction
- Entity resolution
- Link-based clustering
By Data Source, 2018 – 2032
- Structured data
- Unstructured data
- Semi-structured data
By Organization Size, 2018 – 2032
- SMEs
- Large enterprises
By Application, 2018 – 2032
- Semantic search
- Recommendation systems
- Data integration
- Knowledge management
- AI & machine learning
By End User, 2018 – 2032
- Healthcare
- E-commerce & retail
- BFSI
- Government
- Media & entertainment
- Manufacturing
- Transportation & logistics
- Others
The above information is provided for the following regions and countries
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Nordics
- Asia Pacific
- China
- India
- Japan
- South Korea
- Australia
- Southeast Asia
- Latin America
- Brazil
- Mexico
- Argentina
- MEA
- UAE
- South Africa
- Saudi Arabia
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