Semantic knowledge maps include related terms used to discover domains, explaining multiple meanings of similar phrases, facilitating semantic search by extending user queries to relevant keywords/phrases, and identifying trending topics in time series data.It can also build recommendation engines based on content, clean up data by scoring each item according to its relevance, summarize documents by judging the importance of each phrase and entity in the document, and perform predictive analysis of temporal data.The goal is to automatically extract and present domain-specific knowledge from a set of documents that represents the domain.This representation encodes semantic relationships between different words, phrases, and concepts so that these relationships can expose new information about the interrelationships between all entities in the domain, providing a useful reality for the acceptor.Knowledge maps are more accurate, more accessible and more valuable than simple biological maps.It brings together everything one person has written and done to understand the customer and market place better, and semantic technology is most important in the idea of deep linking.
This report contains market size and forecasts of Semantic Knowledge Graphing in Global, including the following market information:
Global Semantic Knowledge Graphing Market Revenue, 2017-2022, 2023-2028, ($ millions)
Global top five companies in 2021 (%)
The global Semantic Knowledge Graphing market was valued at million in 2021 and is projected to reach US$ million by 2028, at a CAGR of % during the forecast period.
The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.
Text Display Segment to Reach $ Million by 2028, with a % CAGR in next six years.
The global key manufacturers of Semantic Knowledge Graphing include Microsoft, Yandex, LinkedIn, Google, Franz, Semantic Web Company, Baidu and Wolfram Alpha, etc. In 2021, the global top five players have a share approximately % in terms of revenue.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the Semantic Knowledge Graphing companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Semantic Knowledge Graphing Market, by Type, 2017-2022, 2023-2028 ($ millions)
Global Semantic Knowledge Graphing Market Segment Percentages, by Type, 2021 (%)
Text Display
Photo Presentation
Deep Reading
Other
Global Semantic Knowledge Graphing Market, by Application, 2017-2022, 2023-2028 ($ millions)
Global Semantic Knowledge Graphing Market Segment Percentages, by Application, 2021 (%)
Semantic Search
Question and Answer Machine
Information Retrieval
Electronic Reading
Online Learning
Global Semantic Knowledge Graphing Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)
Global Semantic Knowledge Graphing Market Segment Percentages, By Region and Country, 2021 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Semantic Knowledge Graphing revenues in global market, 2017-2022 (estimated), ($ millions)
Key companies Semantic Knowledge Graphing revenues share in global market, 2021 (%)
Further, the report presents profiles of competitors in the market, key players include:
Microsoft
Yandex
LinkedIn
Google
Franz
Semantic Web Company
Baidu
Wolfram Alpha