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Semantic Knowledge Graphing Market: Trends, Share, Size, Growth Opportunities, Key Profiles, In-Depth Analysis And Forecast To 2033

Semantic Knowledge Graphing Market

Semantic Knowledge Graphing Market

The Business Research Company has released its latest global market reports, covering insights for 2024 and offering projections up to 2033.

The Business Research Company presents an extensive market research report on the Semantic Knowledge Graphing Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.

Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.

Market Sizing:
The semantic knowledge graphing market size has grown rapidly in recent years. It will grow from $1.29 billion in 2023 to $1.49 billion in 2024 at a compound annual growth rate (CAGR) of 15.4%. The growth in the historic period can be attributed to growing need for interoperability, growing need for structured data, increasing number of internet users, rising demand for semantic knowledge graphing in the healthcare sector, growing demand for semantic knowledge graphing in the e-commerce sector, rising demand for semantic knowledge graphing in the manufacturing sector.

The semantic knowledge graphing market size is expected to see rapid growth in the next few years. It will grow to $2.47 billion in 2028 at a compound annual growth rate (CAGR) of 13.5%. The growth in the forecast period can be attributed to increasing use of natural language processing and machine learning, increasing need for data integration and analytics, increasing volume of data on the internet, growing traction of knowledge graphs for quick knowledge base search, advancements in resolving data access and availability issues, changing in customer expectations, increasing demand for 5g technology in emerging economies. Major trends in the forecast period include technological advancements, innovative solutions, innovation and excellence, business partnership and collaboration, and integration with other technologies.

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Key Market Players:
Major companies operating in the semantic knowledge graphing market report are Amazon.com Inc., Google LLC, Microsoft Corporation, Facebook Inc., The International Business Machines Corporation, Oracle Corporation, Mitsubishi Electric Corporation, SAP SE, Thales Group, Baidu Inc., LinkedIn Corporation , Wipro Limited, Yandex N.V. , OpenLink Software, Neo4j, MarkLogic, Bitnine, Datavid, Ontotext, Stardog Union , TopQuadrant, GraphAware, Cambridge Semantics, Memgraph, Franz Inc.

Market Drivers:
The growing need for structured data is expected to propel the growth of the semantic knowledge graphing market going forward. Structured data refers to data that is organized and formatted in a way that is easily identifiable and searchable by computer systems. Semantic knowledge graphing enhances the value and utility of structured data by providing a framework for organizing and connecting information in a meaningful way. For instance, according to the survey conducted by Komprise, a US-based data management company, 87% of IT leaders rated managing unstructured data growth as a top priority in 2022, up from 70% in 2021. Therefore, the growing need for structured data is driving the growth of the semantic knowledge graphing Market.

Learn More About The Market Report -
https://www.thebusinessresearchcompany.com/report/semantic-knowledge-graphing-global-market-report

The semantic knowledge graphing market covered in this report is segmented -
1) By Knowledge Graph Type: Context-rich Knowledge Graphs, External-sensing Knowledge Graphs, Natural Language Processing (NLP) Knowledge Graphs
2) By Data Source: Structured, Unstructured, Semi-structured
3) By Task Type: Link Prediction, Entity Resolution, Link-based Clustering
4) By Application: Semantic Search, Question and Answer (QnA) Machines, Information Retrieval, Electronic Reading, Other Applications
5) By End-User: Banking, Financial Services And Insurance (BFSI), Healthcare, Manufacturing

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