The Knowledge Graph can be defined as the knowledge base that is used to improve the search engine's output with information gathered from a variety of sources. The knowledge graph represents a collection of interlinked descriptions of entities – events, abstract concepts, situations, and real-world objects. In knowledge graphing, each entity represents part of the description of the entities, which helps to fetch relative information once the keyword is written while searching.

Factors Driving Growth of the Global Semantic Knowledge Graphing Market

With increase in the available volume of data on search engines, the need for semantic knowledge graphing is increasing significantly. According to CMI analysis, in 2019, over 1.5 billion websites are available on the web today. To fetch the relevant and precise information through these large number of data sources is very difficult. This, in turn, is increasing the use of semantic knowledge graphing, as it can link similar content and document in a highly precise manner. Moreover, it enables entity-centric views on products, data, information, location, suppliers, and research topics. Moreover, companies are coming up with their advance knowledge graph platforms, which is expected to boost the market growth in future. For instance, In December 2019, Ontotext a Bulgarian released Ontotext Platform 3.0, which features GraphQL interfaces. Due to of this platform, application developers don’t need to do any complex development of back-end APIs or complex SPARQL for accessing the knowledge graph.

Factors Restraining Growth of the Global Semantic Knowledge Graphing Market

The semantic knowledge graphing is used to improve search engines output, however generating the large knowledge base from voluminous data is challenging. Moreover, the development of semantic knowledge graphing platform is critical process as it requires complex back end APIs, which in turn, is expected to restrain the market growth in the near future.  

Regional Analysis of Semantic knowledge graphing Market

On the basis of region, the global semantic knowledge graphing market is segmented into North America, Europe, Latin America, Asia Pacific, Middle East, and Africa.

In 2018, the North America region accounted for the largest share in the global semantic knowledge graphing market and is expected to retain its dominant position in the market over the forecast period. The region has largest population of internet users where semantic knowledge graphing is used extensively. Moreover, key companies and government agencies are using the semantic knowledge graphing platforms to improve their research and development work. For instance, NASA has implemented Stardog Union’s Enterprise Knowledge Platform, which helps NASA engineers to assemble the inferences from interconnected data.

Asia Pacific is expected to witness significant growth during the forecast period. Increasing number of internet users and introduction of 5G technology in emerging economies such as India and China is expected to drive the market growth in Asia Pacific over the forecast period.

Key Players in the Global Semantic Knowledge Graphing Market

Key players operating in the global semantic knowledge graphing market include Google Inc., metaphacts GmbH, Stardog Union, Grakn Labs, Microsoft Corporation, LinkedIn, Semantic Web Company, Baidu, Yandex, Wolfram Alpha, and Ontotext.

Global Semantic Knowledge Graphing Market: Taxonomy

The global semantic knowledge graphing market is segmented on the basis of application, service type, enterprise size, end use industry, and region.

  • On the basis of application, the market is segmented into:
    • Semantic Search
    • Question and Answer Machine
    • Information Retrieval
    • Electronic Reading
    • Online Learning
  • On the basis of service type, the market is segmented into:
    • Data Management
    • Knowledge Portals
    • Content Management
    • Others
  • On the basis of enterprise size, the market is segmented into:
    • Large Enterprise
    • Small and Medium Enterprises (SMEs)
  • On the basis of end use industry, the market is segmented into:
    • BFSI
    • Healthcare
    • Manufacturing
    • Government
    • Others
  • On the basis of region, the market is segmented into:
    • North America
    • Europe
    • Asia Pacific
    • Latin America
    • Middle East
    • Africa

Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.

Data Triangulation Methodology | Coherent Market Insights

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.

Market Analysis | Coherent Market Insights

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users