PUBLISHER: Knowledge Sourcing Intelligence | PRODUCT CODE: 1456937
PUBLISHER: Knowledge Sourcing Intelligence | PRODUCT CODE: 1456937
The enterprise metadata management market is evaluated at US$3,820.731 million for the year 2022 and is projected to grow at a CAGR of 10.34% to reach market size of US$7,609.641 million by the year 2029.
Enterprise metadata management consists of a set of frameworks, processes, and technologies that aid in surface, searching, classifying, and validating metadata from across the data stack. Metadata management is essential to solve a wide variety of critical business-related and technical challenges, which include, how report figures are calculated, understanding the impact of changes to data upstream, and providing reporting capabilities on the entire metadata of an enterprise among others. Enterprise business management, or EMM, is a branch of metadata management that focuses on big organizations with more than 250 workers. Data management is becoming more difficult as the modern corporation looks for ways to use its massive amounts of data more effectively and quicken transformation. Furthermore, the transition to remote work and the switch to hybrid architecture have both added to this complication. Some of the crucial data management challenges include data growth, lack of visibility, and operations management silos.
The growth of the market is majorly attributed to the rapid development of the Internet of Things (IoT) and Big Data Analytics. The exponential increase in the volume of data generated every day is increasing the need among enterprises to adopt advanced solutions to store and manage these huge volumes of data to ensure their integrity and accessibility. This is increasing the demand for enterprise metadata management solutions and services. Furthermore, stringent regulations like the General Data Protection Regulation (GDPR) have made it even more necessary for enterprises to adopt efficient metadata management solutions, thus boosting the growth of the market.
The enterprise metadata management (EMM) market is being completely transformed by the increased emphasis on data governance and compliance. Companies are increasingly using EMM solutions to strengthen their data governance frameworks as a result of the necessity to adhere to strict data protection laws like GDPR and HIPAA. By facilitating the methodical administration of metadata, EMM helps organizations comply with regulations by guaranteeing data quality, provenance, and traceability. The increasing focus on data governance as a strategic necessity highlights the vital function of the Enterprise Management Module (EMM) in granting transparency, responsibility, and authority over organizational data resources. The EMM industry is experiencing a boom in demand as businesses realize how important it is to keep accurate, consistent, and secure data. These solutions are being used by organizations to comply with regulatory requirements.
The enterprise metadata management (EMM) market is greatly impacted by the growing volume and complexity of data, which calls for advanced solutions to meet the demands of data management. As businesses struggle with large and complex information, EMM becomes an indispensable instrument for fostering data interpretation, organization, and discovery. Businesses may effectively categorize, record, and understand their data assets with the help of EMM, which provides a thorough picture of the information environment. More precise and thorough metadata is required because it helps with data governance and improves data quality, which helps organizations get valuable insights from their expanding data warehouses.
One of the main obstacles faced by the business metadata management sector is implementation difficulty. It may be difficult and time-consuming to integrate metadata management solutions into current systems; it requires careful consideration of organizational structures and procedures and alignment with them. Establishing a consistent metadata framework is difficult because the variety of data sources and formats inside an organization sometimes intensifies the complexity. Organizational problems may also arise from the necessity of strong departmental and team collaboration for the successful deployment of metadata management. Furthermore, some businesses may be discouraged from implementing strong metadata management systems due to the upfront costs and manpower commitment involved, especially smaller ones with tighter budgets.
North America is anticipated to be the major regional market.
The enterprise metadata management market in the North American region is expected to hold a significant share during the forecast period as compared to other regions. Countries like the US and Canada are leading the adoption of advanced security solutions. Furthermore, the developed economies in this region are expected to fuel the market growth in this region, as these developed countries are early adopters of new technology like cloud-based security solutions, etc. Moreover, the presence of key market players like Cognizant and IBM among others is yet another factor fuelling the growth of the enterprise metadata management market in the North American region.
IBM offers metadata management with IBM InfoSphere Information Server which offers benefits like sharing metadata throughout the suite from a single metadata repository, tracking and analyzing the data flow across departments and processes, sharing metadata automatically among tools, and eliminating duplicate or redundant metadata among others.
Oracle offers a complete platform for managing metadata that is called Oracle Enterprise Metadata Management (OEMM). Almost any metadata provider, including SQL, Hadoop, ETL, BI, data modeling, and many more, can be used by OEMM to collect and categorize metadata. However, OEMM is more than simply a repository for information; it also offers data lineage, impact analysis, semantic definition, and semantic usage analysis for every metadata asset in the catalog in addition to interactive searching and browsing of the metadata.