A latest report from Absolute Markets Insights covers insights into the global Semantic Knowledge Graphing market. This comprehensive report offers insights into the market, models and drivers of business growth. Also includes Semantic Knowledge Graphing market share, sales volume and education charts. Research analysts have combined important and additional information, such as commitments from market leaders, into a well-crafted report. This report is an essential insight into strategies and information and is primarily aimed at business leaders. The main objective of this Semantic Knowledge Graphing report is to provide industry knowledge and help our clients achieve natural growth in their respective fields. The Semantic Knowledge Graphing report also shows a new uptrend that includes market conditions and market forecast 2022-2030.
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Some of the major players operating in the global Semantic Knowledge Graphing market include: Google LLC, Microsoft Corporation, Amazon.com, Inc., Facebook, Inc., NELL, YAGO and Mitsubishi Electric Corporation amongst others.
In terms of revenue, global semantic knowledge graphing market was valued at US$ 1054.6 Mn in 2022 and is anticipated to grow at a CAGR of 14.0% over the forecast period to reach US$ 3,000.0 Mn in 2030.
The competitive landscape of the market study contains a broader analysis of the regions including North America, Europe, Asia-Pacific, Middle East and Africa, Latin America, which are expected to capture the essence of the market in its broadest category. The list encompasses significant players who manage the sector based on the system’s overall production capabilities, environmental contributions, appropriate channels, and territorial proximity through a system of primary and secondary research methodologies followed by an in-house analytical model. Furthermore, the generated income and a generalized market share for the market is presented with the help of graphs, charts and tables.
Furthermore, the report also contains important collaborations, mergers and acquisitions, key market trends and business policies are evaluated. The study contains primary and secondary information pertaining to the Semantic Knowledge Graphing Market in terms of its global status, market size, growth forecasts, trends, segments, and a detailed forecast.
Key insights from the report:
- The report provides key statistics on the market status of Semantic Knowledge Graphing Manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
- The report provides a basic overview of the industry, including its definition, applications and manufacturing technology.
- The report features the company profile, product specifications, capacity, production value and market share 2022-2030 for the top vendors.
- The total market is further divided by company, by country and by application/type for the analysis of the competitive landscape.
- The report then estimates the 2022-2030 market development trends of the P2P Loans industry.
- Analysis of upstream raw materials, downstream demand and current market dynamics is also performed.
- The report makes some important proposals for a new project of Semantic Knowledge Graphing Market before evaluating its feasibility.
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Covid-19 cumulative impact:
This study presents insights into COVID-19 on consumer behavior and changes in demand, purchasing patterns, supply chain reorganization, dynamics of market forces, and substantial government involvement. The new research provides insights, analysis, estimates and predictions in light of the effect of COVID-19 on markets. The Semantic Knowledge Graphing Market report provides a solid observation on the prominent players in terms of strategic analysis, micro and macro market trends and opportunities, pricing trends, and a generalized overview of the market. The Semantic Knowledge Graphing Market is a detailed study packed with primary and secondary market factors, market share, leading segments and a proper geographic analysis.
Key questions answered in this report:
- What will the market size and growth rate be in 2030?
- What are the key drivers of the global market?
- What are the key market trends impacting the growth of the global market?
- What are the market growth challenges?
- Who are the key vendors in the global market?
- What are the global market opportunities and challenges for sellers?
- What are the key findings of the global five-point analysis of the Semantic Knowledge Graphing market?
Rise in generation of data both by humans and machines are creating demand for advanced technological solutions which can represent these datasets in semantic way and assist in drawing insights from this complex multisource data. Proliferation of tech-savvy digital natives are transforming the conventional ecosystems. In December 2019, The International Telecommunication Union (ITU) stated in its report released that around 4.1 billion people worldwide have access to internet which is around 3.6% of the total global population. Also, users of smart and connected devices including smartphones, tablets and others are increasing the traffic in internet. These factors have contributed to inclination of people towards digital platforms for performing any activity in day-to-day life, which is creating high amounts of data at enterprise’s end. Growing consumer datasets pose requirement for tools which will assist enterprises to efficiently manage this data and draw insightful analysis upon for better customer engagement.
Growing traffic of internet users also mandated the adoption of digital tools by enterprises to enhance the search, recommendation and content management of databases. Semantic knowledge graphing is a viable solution for these requirements as it enables enterprises to establish multilateral relations between entities throughout the datasets and provides a semantic search interface. In 2012, U.S. based technology company Google Inc. introduced the first knowledge graph which assist searchers or users of Google search engine to get instant information that is relevant to their query. Apart from the free databases, Google’s Knowledge graph contains more than 500 million objects and more than 3.5 billion facts about these objects.
The huge size of the content available at Google makes use of search optimization tools including knowledge graphs, mandatorily which finds the right information, provides snippets and displays unexpected deeper insights. Owing to these benefits, multipler players have entered the semantic knowledge graphing market with their novel offerings. For instance, GNOSS platform of RIAM INTELEARNING LAB S.L. is a knowledge graph builder platform which provides better interpretation of content and resources of an organization. The GNOSS platform is used to build knowledge graphs and perform discovery, reasoning, analysis and content management using these graphs. These manifold benefits of knowledge graphs for optimizing search results and data representation for analysis has contributed towards the growth in semantic knowledge graphing market across the globe.
Semantic knowledge graphing can be used for a wide array of applications including business development. Data Science professionals spend a lot of time in analysing huge chunks of data from multiple sources to find out a pattern so as to develop innovative product or services to attracts customers for their organization. This analysis gives them a brief idea on what problems their customers are facing and how to overcome their challenges for better customer engagement. Knowledge graphs are an efficient and powerful tool to manage and analyse customer’s data which will identify the marketing or distribution channels that attracts more number of customers. For instance, the knowledge graph developed by data exploration tool of Refinitiv company, based out of U.S, enables the business development and customer relationship management teams to generate a graph network of sales leads and connections through integration of internal and third party data.
Knowledge graph can be further used for applications including development of chatbots, keyword advertisement and others. Traditionally in a search advertisement, the businesses used to purchase a list of keywords related to their offerings so that when these keywords are entered in a search engine, the system used to display advertisement of the related products. Using Microsoft’s Concept Graph can enable the sales team to find out more related keywords to the product which are being frequently used by the customers and which can be purchased by the company for increasing their potential leads. These wide array of applications in business development and sales activities of a business are creating a heightened demand in global semantic knowledge graphing market.
Rise in outbreak of global pandemic COVID-19 has positively impacted the semantic knowledge graphing market. Multiple private and government institutes are using semantic knowledge graphing to develop deeper insights and understanding on the infection and a potential cure for it. For instance, The CovidGraph Project is a non-profit organization formed by collaboration of researchers, software developers, healthcare professionals and data scientists which has built a platform incorporating more than 40,000 publications case statistics, genes and functions, molecular data and other relevant information on COVID-19. Knowledge graph developed by this organization aims to assist researchers to navigate through COVID-19 datasets using technologies including advanced visualization techniques and intuitive user interfaces. Similarly, in April 2020 Mayo Clinic has partnered with Ontotext to develop and publish knowledge graphs related to COVID-19 scientific information. Mayo Clinic is using Ontotext’s GraphDB RDF (Resource Description Framework) database to publish knowledge graph called CORD-19. These efforts and similar others are boosting the demand in semantic knowledge graphing market across the globe.
Global Semantic Knowledge Graphing Market Segmentation:
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 (U.S., Canada, Mexico, Rest Of North America, The UK, France, Germany, Italy, Spain, Nordic Countries (Denmark, Finland, Iceland, Sweden, Norway), Benelux Union (Belgium, The Netherlands, Luxembourg), Rest Of Europe, China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia (Indonesia, Thailand, Malaysia, Singapore, Rest Of Southeast Asia), Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest Of Middle East & Africa, Brazil, Argentina, Rest Of Latin America) – Global Insights, Growth, Size, Comparative Analysis, Trends And Forecast, 2022 – 2030
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