Global Enterprise Data Management Market report from Global Insight Services is the single authoritative source of intelligence on Enterprise Data Management Market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.
Enterprise data management (EDM) is a comprehensive approach to managing an organization’s data. It includes processes and technologies for acquiring, storing, governing, and analyzing data.
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Key Trends
Enterprise data management (EDM) is the comprehensive management of an enterprise’s data assets. It includes all aspects of data management, from data acquisition and warehousing to data quality and governance. EDM is a critical part of an enterprise’s overall information management strategy.
There are four key trends in Enterprise Data Management technology:
1. Data integration
2. Data quality
3. Data governance
4. Big data
Data integration is the process of combining data from multiple sources into a single repository. This is important for businesses because it allows them to have a single view of their data, which can be used for reporting and decision-making.
Key Drivers
The key drivers of the EDM market are the increasing volume and complexity of enterprise data, the need to improve data quality and governance, and the need to better leverage data assets for competitive advantage.
The volume of enterprise data is growing exponentially, driven by the proliferation of digital devices and sensors, the growth of social media and other online data sources, and the increasing use of data-intensive applications such as big data and analytics. This growth is straining the capacity of traditional data management approaches, such as relational database management systems, to cope.
At the same time, the need to improve data quality and governance is becoming more urgent. Poor data quality can lead to inaccurate business decisions, while inadequate data governance can result in regulatory compliance problems and reputational damage.
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Market Segments
The Enterprise Data Management Market is segmented on the basis of component, deployment, organization size and region. On the basis of component, the market is segmented into software and service. By deployment, the market is segmented into cloud and on premises. By organization size, the industry are broadly classified into large enterprises and small and medium-sized enterprises (SMEs). Region-wise, the market is segmented into North America, Europe, Asia-Pacific, and the Rest of the World.
Key Players
The Enterprise Data Management Market report includes players such as IBM Corporation, SAS Institute Inc., Teradata Corporation, Oracle Corporation, SAP SE, Symantec, Cloudera, Inc., Amazon Web Services, Inc, EnterWorks, Inc. and Zaloni, Inc.
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