According to a new report, published by KBV research, The Global Semantic Knowledge Graphing Market size is expected to reach $3.4 billion by 2030, rising at a market growth of 13.7% CAGR during the forecast period.
The SMEs segment is showcasing a CAGR of 14.5% during (2023 - 2030). SMEs are increasingly using semantic knowledge graphs to organize and analyze their data. Part of this might be attributed to the accessibility of cloud-based solutions, which are more cost-effective and user-friendly than on-premises systems. Vendors are creating solutions that are easier to use and accessible for those without technical expertise because SMEs often have restricted resources.
The Semantic Search segment acquired maximum revenue share in the Global Semantic Knowledge Graphing Market by Application in 2022 thereby, achieving a market value of $1 billion by 2030. The demand for semantic search technology to fuel interactions will increase as more firms use conversational interfaces like chatbots and voice assistants. This will increase the need for semantic search tools that correctly decipher natural language searches and produce pertinent results. The scope of semantic search extends beyond web search engines.
The IT & Telecom segment has shown the growth rate of 14.6% during (2023 - 2030). To execute proactive maintenance on the IT and telecom infrastructure, the sector uses semantic knowledge graphs. A technical difficulty with significant economic ramifications is managing telecommunications systems. Complex judgments must be made automatically based on integrating many diverse information sources. Semantic knowledge graphs are used in several telecommunications management domains, including resource/service discovery & monitoring, with a focus on software-defined networks. Their adaptability and interoperability are their key features.
The Link Prediction segment is leading the Global Semantic Knowledge Graphing Market by Task Type in 2022 thereby, achieving a market value of $1.4 billion by 2030. The link prediction focuses on creating algorithms and models to anticipate missing or prospective relationships between elements in a knowledge graph. As link prediction models advance in complexity, there is an increasing focus on making sure they are completely transparent and understandable so that users can comprehend how predictions are formed. In order to make forecasts of future relationships more precise, these models are under development to consider contextual data, such as location, time, and user behavior.
The Semi-structured segment is poised to grow at a CAGR of 13.8% during (2023 - 2030). The segment is expanding quickly owing to the acceptance of open standards, the incorporation of AI and machine learning, and the rise of graph databases. As structured knowledge graphs are expanded to include sensitive material, the emphasis on data security and governance is likewise becoming more crucial. Structured data can be integrated and interoperable across various applications and platforms owing to the adoption of open standards like RDF and OWL.
The Context-rich Knowledge Graphs segment is generating the highest revenue share in the Global Semantic Knowledge Graphing Market by Graph Type in 2022 thereby, achieving a market value of $1.4 billion by 2030. In order to integrate and analyze data from IoT devices and sensors and provide more nuanced insights into intricate systems and environments, context-rich knowledge graphs are used. The industry-specific use cases, IoT and sensor data integration, industry-specific use cases, as well as the application of machine learning and natural language processing, are all contributing to the segment's robust growth.
The North America market dominated the Global Semantic Knowledge Graphing Market by Region in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $1.1 billion by 2030. The Europe market is exhibiting a CAGR of 13.2% during (2023 - 2030). Additionally, The Asia Pacific market would showcase a CAGR of 14.5% during (2023 - 2030).
Full Report: https://www.kbvresearch.com/semantic-knowledge-graphing-market/
The market research report has exhaustive quantitative insights providing a clear picture of the market potential in various segments across the globe with country wise analysis in each discussed region. The key impacting factors of the market have been discussed in the report with the elaborated company profiles of 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.
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By Task Type
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Companies Profiled
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