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Enterprise Metadata management market

Enterprise Metadata Management Market Research Report- By Deployment Model, By Metadata Type, Application (Governance And Compliance Management, Risk Management, Product And Process Management, Incident Management), By Industry Vertical

  • Published Date : 08 Jun 2018
  • Reports Monitor
  • Category : ICT Media
  • Pages : N/A

Enterprise metadata management is defined as the management concerned with metadata. Metadata is information about the data that describes the various facets of information assets, which improves its usability and enables easier management throughout its lifecycle. For example, in a given document, the metadata is the additional information that describes it such as the original author, the creation date, the modified date or notes that describe what the document is for. The end to end process related to metadata management is done either independently or within a repository and the associated supporting processes (often to enable the management of content). For web-based systems, URLs, images, video etc. may be referenced from a triples table of the object, attribute, and value. Metadata management involves managing data about other data, whereby this ""other data"" is generally referred to as content data. The term is used more frequently in relation to digital media, but older forms of metadata are catalogs, dictionaries, and taxonomies.

Expanding enterprise data joined with growing data integration and content management challenges, and growing importance for data governance and data standardization by organizations across various industries is the key factor driving the growth of global enterprise metadata management market. Increasing demand to reduce risk and increase the trust of enterprise data assets, growing focus on collaboration and social networking capabilities and increasing demand to managing the content lifecycle by enterprises across different verticals accelerate the growth of global enterprise metadata management market. In addition to this, growing data mining, data warehouses, and data pooling operations coupled with growing focus on developing centralized data control to improve IT productivity across enterprise atmosphere compel the growth of global enterprise metadata management market. Contrast to this, the absence of knowledge and understanding about the prominent benefits of enterprise metadata management solutions and technological challenges in metadata storage and cross-linking of data are identified as constraints likely to deter the growth of global enterprise metadata management market.

Unique case: Incorporation of numerous overlapping metadata standards of the journal of the American society for information science, Zorana Ercegovac gave a review of the metadata improvement in 1999, in which she drove per users through the internet period pre-internet time and The pre-internet era includes Machine Readable Cataloguing (MARC) developed at the Library of Congress in the 1960s. Priscilla Caplan in the internet web era portrayed the metadata development as "a sprouting garden, navigated by crosswalks, on a precarious and rough street" in 2000.

In recent years, the concepts and technologies of the Semantic Web (i.e., the Web of Data), Linked Open Data, and Big Data have changed the world. Structured data about other data (Metadata) are receiving even wider and greater attention than ever before.
LAMs were amongst the first one who has published their data (including bibliographic data, object descriptions, name authorities, and controlled vocabularies) as Linked Data. Trending topic within metadata is the cloud. Deployment of the cloud is said to be the fast-expanding deployment model in the EMM market, as it provides higher scalability and reduces the overall operational costs of enterprises. The vendors functioning in the global market are focusing on developing robust cloud-based solutions in-line with the increasing migrations to the private or public cloud that would further enhance the market growth.
OEMM (Oracle Enterprise Metadata Management) is a broad metadata management platform. OEMM can yield and catalog metadata through virtual means by any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more. Similarly, at Capgemini, they have many years of experience in deploying automated metadata management solutions. They have worked with many major global clients to deliver customized business data management solutions.

Regional analysis:
The global Enterprise Metadata market is studied across: North America, Europe, Asia Pacific and LMAEA (Latin America, Middle East and Africa). Anticipations are there that North America might accounts for a large share in the global enterprise metadata management market, owing to technological advancement, well-established IT infrastructure, adoption of advanced technology across numerous industries. Additionally, the existence of prominent players specialized in metadata management in the region and growing demand for the collaborative business environment. The rapid industrialization in the majority of the countries in APAC and the increasing digitalization has resulted in the higher generation of unstructured data volume. The rising investments towards the adoption of cloud-based solutions is again said to be thriving the higher adoption of enterprise metadata management tools. Companies operating in the region provide various solutions based on the organization size and customer requirements. The administration of Enterprise Metadata enables the undertakings to support, gather, and arrange the business metadata that encourages the information administration and ace information administration activities.

Segmentation:
On the basis of application:

• Governance and compliance management
• Risk management
• Product and process management
• Incident management
• Others (operations management and employee performance data management)

On the basis of metadata type:
• Business metadata
• Technical metadata
• Operational metadata

On the basis deployment model:
• On-premises
• Cloud

On the basis of industry vertical:
• Banking, Financial Services, and Insurance (BFSI)
• Telecommunication and IT
• Retail and ecommerce
• Healthcare and life sciences
• Manufacturing
• Government and defence
• Energy and utilities
• Media and entertainment
• Others (transportation and logistics, travel and hospitality, and education)

Key players:
The prominent 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.), and 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.)


									

	

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