Semantic Knowledge Graphing Market Synopsis
Semantic Knowledge Graphing Market Size Was Valued at USD 1.26 Billion in 2022, and is Projected to Reach USD 3.64 Billion by 2030, Growing at a CAGR of 14.19 % From 2023-2030.
Semantic knowledge graphs are becoming increasingly important in the age of big data and advanced AI technologies. They offer a structured and interconnected way of representing knowledge, making it easier for organizations to manage and analyze their data effectively. By organizing data into nodes and edges that represent entities and relationships between them, semantic knowledge graphs enable powerful capabilities such as data integration, querying, and inference. One of the key advantages of semantic knowledge graphs is their ability to capture not just the data itself, but also the context and semantics associated with it. This rich semantic representation allows for more sophisticated analysis and reasoning, leading to deeper insights and more accurate predictions.
Leading Innovators in the Industry
· Amazon.com Inc. (U.S.)
· Facebook Inc (U.S.)
· Google LLC (U.S.)
· Franz Inc. (U.S.)
· Stardog Union (U.S.)
· Microsoft Corporation (U.S.)
· Metaphacts GmbH (Germany)
· NELL (Norway)
· Semantic Web Company (Austria)
· Yandex (Russia)
· Ontotext (Bulgaria)
· YAGO (Taiwan)
· Mitsubishi Electric Corporation (Japan)
· Baidu, Inc. (China), and Other Major Players
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Segmenting the Market: Understanding the Diverse Landscape
The structured segment of the market is growing robustly due to several factors: adoption of open standards like RDF and OWL, integration with machine learning and AI, and the rise of graph databases. As structured knowledge graphs expand to handle sensitive data, there's a heightened focus on data governance and security. This segment is primarily dedicated to developing and deploying structured data models that enhance processing and analysis efficiency. Open standards play a vital role in ensuring interoperability and integration across various applications and platforms.
By Graph Type
· External-Sensing Knowledge Graphs
· Context-Rich Knowledge Graphs
· NLP Knowledge Graphs
By Task Type
· Link prediction
· Entity Resolution
· Link-based Clustering
By Source
· Structured
· Unstructured
· Semi-structured
By Organization Size
· SMEs.
· Large Organizations
By Application
· Semantic Search
· QnA Machines
· Electronic Reading
· Information Retrieval
By Industry Vertical
· BFSI, Healthcare
· IT & telecom
· Retail & E-commerce
· Government
By Region
· North America (U.S., Canada, Mexico)
· Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
· Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
· Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)
· Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
· South America (Brazil, Argentina, Rest of SA)
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The Semantic Knowledge Graphing market research report also discusses the numerous development strategies and plans that the keyword industry follows to expand to a global level. This report is a complete guide to study every detail related to the Semantic Knowledge Graphing industry. Additionally, the industry report contains information on all issues affecting the growth of the industry. Details related to the dynamic change in the segment are provided in the research report. It also discusses the numerous opportunities for growth and the risks associated with it. This study provides details for all market segments. Semantic Knowledge Graphing Industry demands of various periods are thoroughly discussed in research reports. The technological innovations made in the Semantic Knowledge Graphing segment are discussed in depth in the market report. The report also contains vital information on important market events over the years worldwide.
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