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SEMANTIC KNOWLEDGE GRAPHING MARKET ANALYSIS

Semantic Knowledge Graphing Market, by application (Semantic Search, Question and Answer Machine, Information Retrieval, Electronic Reading, and Online Learning), by Service type (Data Management, Knowledge Portals, Content Management, and Others), by Enterprise Size (Large Enterprise and Small and Medium Enterprises (SMEs)), by End-use industry (BFSI, Healthcare, Manufacturing, Government, and Others), and by Region (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa) - Size, Share, Outlook, and Opportunity Analysis, 2022-2028

Market Challenges And Opportunities

Factors Restraining Growth of the Global Semantic Knowledge Graphing Market

The semantic knowledge graphing is used to improve search engines output, however generating the large knowledge base from voluminous data is challenging. Moreover, the development of semantic knowledge graphing platform is critical process as it requires complex back end APIs, which in turn, is expected to restrain the market growth in the near future.  

Factors Driving Growth of the Global Semantic Knowledge Graphing Market

With increase in the available volume of data on search engines, the need for semantic knowledge graphing is increasing significantly. According to CMI analysis, in 2019, over 1.5 billion websites are available on the web today. To fetch the relevant and precise information through these large number of data sources is very difficult. This, in turn, is increasing the use of semantic knowledge graphing, as it can link similar content and document in a highly precise manner. Moreover, it enables entity-centric views on products, data, information, location, suppliers, and research topics. Moreover, companies are coming up with their advance knowledge graph platforms, which is expected to boost the market growth in future. For instance, In December 2019, Ontotext a Bulgarian released Ontotext Platform 3.0, which features GraphQL interfaces. Due to of this platform, application developers don’t need to do any complex development of back-end APIs or complex SPARQL for accessing the knowledge graph.

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