Enterprise Metadata Management Market Growth, Share -Trends and Forecast to 2027

Enterprise Metadata Management Market Scenario:

The global Enterprise Metadata Management Market will touch USD 9 billion at a 24?GR in the forecast period 2020- 2027, states the latest Market Research Future (MRFR) analysis. Enterprise metadata management is a business discipline that manages the metadata regarding the information asset of the organization.

Various factors are fuelling the global enterprise metadata management market demand. As per the recent MRFR market estimates, such factors include the growing significance for data governance across different end user verticals by organizations, increase in the need for reduced risks, increasing focus on social networking capabilities and collaboration, centralized data management, risk and compliance management, governance, increasing business data volume, data quality management, and operational excellence, the rise of artificial intelligence for better quality and management, increase in risk management and incident adjustment management business applications to improve the overall metadata governance, the rising significance of data governance and data standardizations by organizations across different industries, the expansion of enterprise, and the incessant adaptation of analytics solutions and business intelligence by organizations. Besides, the immediate importance of data intelligence in the healthcare sector to combat COVID-19 is also adding market growth.

Factors such as a rise in the need for reduced risks, growing focus on collaboration and social networking capabilities accelerate the growth of global enterprise metadata management market.

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Competitive Outlook:

 

Some of the players in the market are Adaptive (U.S.), ASG Technologies (U.S.), Cambridge Semantics (U.S.), CentricMinds (VIC), Collibra (U.S.), Data Advantage Group (U.S.), IBM (U.S.), Informatica (U.S.), Oracle (U.S.), SAP SE (Germany), Talend (U.S.), TopQuadrant (North Carolina). Alation (U.S.), AWS (U.S.), Datum LLC (U.S.), Infogix (U.S.), Mulesoft (U.S.), Global IDs (U.S.), Smartlogic (U.S.), Idera (U.S.), erwin Inc. (U.S.), Information Builders (U.S.), Orchestra Networks (France), Trillium Software (U.S.), and Varonics Systems (U.S.) are among others.

 

Segmentation:

1. The MRFR report throws light on an inclusive segmental analysis of the enterprise metadata management market on the basis of end user, deployment model, metadata type, application, and service.

 

2. By service, the global enterprise metadata management market is segmented into managed and professional services. The professional services is again segmented into education and training, consulting, and support and maintenance.

 

3. By deployment, the global enterprise metadata management market is segmented into on-premise and cloud. Of these, the cloud deployment will lead the market over the forecast period.

 

4. By application, the global enterprise metadata management market is segmented into incident management, product and process management, risk management, governance and compliance management, and others. Of these, the product and process management application will dominate the market over the forecast period.

 

5. By metadata type, the global enterprise metadata management market is segmented into operational metadata, technical metadata, and business metadata.

 

6. By end user, the global enterprise metadata management market is segmented into hospitality, media and entertainment, energy and utilities, healthcare and life science, retail and wholesales, telecommunications and IT, BFSI, and others. Of these, the BFSI segment will spearhead the market over the forecast period.

 

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Table of Contents:

1 Executive Summary

2 Scope Of The Report

2.1 Market Definition

2.2 Scope Of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Markets Structure

3 Market Research Methodology

3.1 Research Process

3.2 Secondary Research

3.3 Primary Research

3.4 Forecast Model

4 Market Landscape

Continued….

 

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