![Global Enterprise Data Management Market](https://res.cloudinary.com/devmoveo/image/upload/v1706192375/skyquest/report/phpNasryt.jpg)
Report ID: SQMIG45B2084
Report ID:
SQMIG45B2084 |
Region:
Global |
Published Date: July, 2001
Pages:
165
|
Tables:
87 |
Figures:
76
In 2022, the North America region emerged as the dominant market in the enterprise data management industry, accounting for the largest share of 36.5% in terms of overall revenue. The region's market growth can be attributed to the increasing demand for risk management solutions and the growing need for timely and accurate information. Several prominent companies in North America, including Amazon Web Services, Oracle, and IBM, are placing strong emphasis on digital transformation and are often at the forefront of adopting next-generation technologies such as Internet of Things (IoT), big data analytics, Artificial Intelligence (AI), and machine learning. For example, in May 2021, IBM Corp. acquired Catalogic Software, a leading provider of data protection and copy data management solutions across industries. This acquisition enables Catalogic Software to focus on developing data security and enterprise and cloud data protection solutions. The continued adoption of these advanced technologies by enterprises in the region contributes to the positive market growth outlook.
On the other hand, the Asia Pacific region is projected to exhibit the fastest compound annual growth rate (CAGR) during the forecast period. This growth is driven by the expansion of industry verticals in the region and the increasing adoption of big data solutions. The rising popularity of cloud computing and the resulting emphasis on improving operational efficiency in large enterprises and Small and Medium-sized Enterprises (SMEs) are expected to drive the demand for enterprise data management (EDM) solutions. Various governments in the region are encouraging software companies to develop free and open-source software for remote data management and access, which further contributes to the demand for EDM solutions. Overall, the Asia Pacific region presents significant growth opportunities in the EDM market due to its expanding industry landscape and the need to harness the power of data effectively.
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REQUEST FREE CUSTOMIZATIONThe key element of enterprise data management (EDM) is data governance. Data governance is the set of policies, processes, and structures that ensure that data is managed effectively within an organization. It includes activities such as data quality management, data security, and data compliance.
Enterprise data management (EDM) and Infrastructure as a Service (IaaS) are two different approaches to managing data. EDM is a holistic approach that encompasses the entire data lifecycle, from collection to storage to analysis. IaaS is a more focused approach that provides the underlying infrastructure for storing and managing data.
Achieving enterprise data management can be challenging due to various factors. Some of the main challenges include ensuring data quality, integrating data from different sources, protecting data security, establishing data governance policies, designing a scalable data architecture, developing data analytics capabilities, and ensuring compliance with data privacy regulations.
Enterprise data management initiatives typically focus on key activities such as data governance, data quality management, data integration, and master data management. Data governance involves establishing policies and procedures for managing data. Data quality management ensures that data is accurate, complete, and consistent. Data integration involves integrating data from different sources into a single view. Master data management creates a single source of truth for key data elements. These activities are critical for effective enterprise data management.
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Report ID: SQMIG45B2084