The growing need among data-rich organizations to enhance their decision-making capabilities and analytics, enabling them to undertake informed and well-timed decisions is accelerating the growth of the semantic knowledge graphing market. Knowledge graphs, which facilitate automated reasoning services, aids in escalating the process of operationalization of artificial intelligence (AI) initiatives and machine-to-machine autonomy. Knowledge graphs generate a semantic layer of meaningful data, which extracts data from silos, sources and systems, enabling the users to obtain immediate access to relevant information from all possible sources. This interactive method of obtaining data enables the analytics leaders within the organizations to enhance the understandability of the data, thereby allowing Artificial Intelligence/Machine Learning algorithms to use the enriched data for analytics and in further operational functions. Thus, the technology’s ability to link complex and disparate data, strengthens the enterprise’s capability to seamlessly adapt with the changing regulatory requirement, evolving industry standards along with any other specific requirements.
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The Covid-19 pandemic has significantly revolutionized the global semantic knowledge graphing market. Knowledge graphs are being increasingly adopted by the biomedical research community to obtain relevant insights regarding coronavirus through the linking of topics, research papers and authors. May 2020 marked the release of COVID-19 Knowledge Graph (CKG) by Amazon Web Services (AWS). The graph is being viewed as a flexible medium to obtain and envision complex relationships between scientific articles and other relevant information regarding the COVID-19 for varied research applications. The rapid spread of the SARS-CoV-2 across the globe along with increase in complexities associated with the disease has led to increased investments by sectors at large to inhibit the further spread of the disease. Enormous amounts of data pertaining to the disease, both molecular and biomedical data are available, which can be effectively used in further research efforts by the institutions globally. Semantic knowledge graphing is aiding in efficiently structuring this data to abstract useful insights. Hence, similar investment efforts by organizations globally showcase positive growth prospects for the global semantic knowledge graphing market over the forecast period.
The global semantic knowledge graphing market is expected to grow at a CAGR of 14% during the forecast years (2021-2029).
The detailed research study provides qualitative and quantitative analysis of semantic knowledge graphing market. The market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue across regions and further across all the major countries. The supply side analysis covers the major market players and their regional and global presence and strategies. The geographical analysis done emphasizes on each of the major countries across North America, Europe, Asia Pacific, Middle East & Africa and Latin America.
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Key Findings of the Report:
- The ease of coping most adequately with complexity and volatility along with interoperability to enhance communications are essentials factors which have spurred the demand for semantic knowledge graphing in the global market.
- Semi-structured data sources in global semantic knowledge graphing market is estimated to gain momentum over the period of next eight years. Increasing investments among organizations towards data integration activities is aiding the segment’s growth in the global market.
- Government entities across the regions are significantly investing towards global semantic knowledge graphing market. However, massive amount of data being generated in the healthcare sector, showcases substantial growth opportunities for global semantic knowledge graphing market in the forecast years.
- The advent of small and medium enterprises in the Asia Pacific, which are increasingly adopting semantic knowledge graphing is estimated to amplify the region’s growth in the global semantic knowledge graphing market
- Some of the major players operating in the global semantic knowledge graphing market are Amazon.com, Inc., Baidu, Google LLC, Grakn Labs, metaphacts GmbH, Microsoft Corporation, Ontotext, Semantic Web Company GmbH, Stardog Union, and Wolfram amongst others.
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Global Semantic Knowledge Graphing Market:
- By Type of Data Sources
- Unstructured
- Structured
- Semi-structured
- By Type of Knowledge Graphs
- Context-Rich Knowledge Graphs
- External-Sensing Knowledge Graphs
- Natural Language Processing (NLP) Knowledge Graphs
- By Type of Tasks
- Link Prediction
- Entity Resolution
- Link-based Clustering
- By End-use Industry
- Banking Financial Service and Insurance (BFSI)
- Healthcare
- Manufacturing
- E-commerce
- Government
- Others
- By Region:
- North America
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- U.S.
- Canada
- Mexico
- Rest of North America
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- Europe
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- France
- The UK
- Spain
- Germany
- Italy
- Nordic Countries
- Denmark
- Finland
- Iceland
- Sweden
- Norway
- Benelux Union
- Belgium
- The Netherlands
- Luxembourg
- Rest of Europe
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- Asia Pacific
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- China
- Japan
- India
- New Zealand
- Australia
- South Korea
- Southeast Asia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Rest of Southeast Asia
- Rest of Asia Pacific
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- Middle East & Africa
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- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Rest of Middle East & Africa
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- Latin America
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- Brazil
- Argentina
- Rest of Latin America
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