Europe Semantic Knowledge Graphing Market Size, Share & Industry Trends Analysis Report

Europe Semantic Knowledge Graphing Market Size, Share & Industry Trends Analysis Report By Organization size, By Application, By Vertical, By Task Type, By Data Source, By Graph Type, By Country and Growth Forecast, 2023 - 2030

The Europe Semantic Knowledge Graphing Market would witness market growth of 13.2% CAGR during the forecast period (2023-2030).

Knowledge graphs facilitate the integration of clinical trial data, research papers, and real-world evidence. They enable researchers to discover relevant studies, identify potential collaborators, and explore connections between various factors such as genes, diseases, drugs, and patient populations. By capturing and linking this information, knowledge graphs promote the discovery of new insights, support evidence-based medicine, and accelerate the translation of research findings into clinical practice.

Similarly, in the e-commerce sector, knowledge graphs enable the identification of relationships between products, such as complementary items, substitute products, or higher-end versions. By leveraging these relationships, e-commerce platforms can offer cross-selling and upselling recommendations to customers, increasing average order values and overall sales. For example, when a customer purchases a camera, the platform can suggest compatible lenses or accessories based on the knowledge graph's understanding of the product ecosystem. Thus, the expansion of the sector will result in increasing usage of knowledge graphing.

Due to the quick growth of digital healthcare technology, healthcare has emerged as one of today's largest and most dynamic businesses. Massive amounts of accessible healthcare data must be shared and linked, which is fundamental in improving healthcare services. Interoperability in eHealth has been deemed necessary for more than ten years by the European Commission. The Directive on the Application of Patients' Rights in Cross-Border Healthcare has increased the prominence of the eHealth interoperability concern. In order to increase EU competitiveness, the Commission has now made eHealth interoperability a top priority in the context of the Digital Single Market policy. 13 MS/C representatives participated in the workshop in October 2018, and four additional Member States sent information regarding ongoing national semantic activities. Hence, the region presents lucrative growth prospects for the market throughout the forecast period.

The Germany market dominated the Europe Semantic Knowledge Graphing Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $224.8 million by 2030. The UK market is experiencing a CAGR of 12.3% during (2023 - 2030). Additionally, The France market would exhibit a CAGR of 14% during (2023 - 2030).

Based on Organization size, the market is segmented into Large Organizations, and SMEs. Based on Application, the market is segmented into Semantic Search, Information Retrieval, QnA Machines, Electronic Reading, and Others. Based on Vertical, the market is segmented into BFSI, Government & Healthcare, IT & Telecom, Retail & E-commerce, and Others. Based on Task Type, the market is segmented into Link Prediction, Link-based Clustering, and Entity Resolution. Based on Data Source, the market is segmented into Unstructured, Structured, and Semi-structured. Based on Graph Type, the market is segmented into Context-rich Knowledge Graphs, External-sensing Knowledge Graphs, and NLP Knowledge Graphs. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon.com Inc., Baidu, Inc., Meta Platforms, Inc. (Facebook), Google LLC (Alphabet Inc.), Microsoft Corporation, Mitsubishi Electric Corporation, Wipro Limited, Yandex N.V., Stardog Union and Vaticle Ltd.

Scope of the Study

Market Segments covered in the Report:

By Organization Size

• Large Organizations
• SMEs

By Application

• Semantic Search
• Information Retrieval
• QnA Machines
• Electronic Reading
• Others

By Vertical

• BFSI
• Government & Healthcare
• IT & Telecom
• Retail & E-commerce
• Others

By Task Type

• Link Prediction
• Link-based Clustering
• Entity Resolution

By Data Source

• Unstructured
• Structured
• Semi-structured

By Graph Type

• Context-rich Knowledge Graphs
• External-sensing Knowledge Graphs
• NLP Knowledge Graphs

By Country

• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe

Companies Profiled

• Amazon.com Inc.
• Baidu, Inc.
• Meta Platforms, Inc. (Facebook)
• Google LLC (Alphabet Inc.)
• Microsoft Corporation
• Mitsubishi Electric Corporation
• Wipro Limited
• Yandex N.V.
• Stardog Union
• Vaticle Ltd

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