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

North America 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 North America Semantic Knowledge Graphing Market would witness market growth of 12.9% CAGR during the forecast period (2023-2030).

The market has many uses, including finding related terms within a field, elucidating multiple interpretations of a single phrase, enhancing semantic search by broadening user searches to related keywords/phrases, and spotting hot topics in time-series data. Additionally, it can create a recommendation engine according to content, clean data by assigning scores to each item based on relevance, summarize documents by assessing the significance of each word and entity inside the document, and do a time-series prediction analysis.

The key drivers of market growth are the requirement for enterprises to efficiently manage and extract insights from big and complex datasets, as well as the rising desire for personalized experiences and the necessity for data sharing and interoperability across different systems. Additionally, the market has applications in several industries, such as healthcare, media & entertainment, e-commerce, financial services, and manufacturing, where knowledge graphing technologies are utilized to boost productivity, lower costs, and provide users with individualized experiences.

In this region, semantic knowledge graphing is widely utilized as the number of internet users is at its highest. Important businesses and governmental organizations also adopt these systems to enhance their research and development efforts. NASA, for instance, has used Stardog Union's Enterprise Knowledge Platform, which enables NASA engineers to compile conclusions from related data. Large volumes of consumer data are generated by the proliferation of the internet and smart devices in these region's affluent nations, which can be analyzed to boost customer engagement. Semantic knowledge graphing became more prevalent in North America as a result of the existence of significant market participants, including the early adopters of this technique. These variables influence the growth of the market in the North America region.

The US market dominated the North America Semantic Knowledge Graphing Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $732.7 million by 2030. The Canada market is poised to grow at a CAGR of 15.4% during (2023 - 2030). Additionally, The Mexico market would witness a CAGR of 14.4% 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 U.S., Mexico, Canada, and Rest of North America.

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

• US
• Canada
• Mexico
• Rest of North America

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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