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Enterprise Data Management Market Size, Share, Trends, Key Players, Demand and Growth Opportunities by 2023

The need to reduce the total cost of ownership of data, and the increasing requirement of data management in organizations as an indispensable demand for business continuity are the major growth drivers of the Enterprise Data Management Market. Most enterprises through different verticals are dynamically framing data management strategies, and measures to ensure data reliability which in turn is positively influencing the implementation of enterprise data management solutions.
Image result for Enterprise Data Management MarketBased on type of software, the global enterprise data management market can be divided into data integration, data quality, data security, data migration, data warehousing, and others. On the basis of type of service the global market for enterprise data management can be segmented into consulting services, support and training analysis, operation, and maintenance services.
On the basis of user type the global enterprise data management market can be segmented into small and medium sized businesses (SMBs) and enterprises. Transportation and logistics, energy and utilities, defense, healthcare, banking financial services and insurance (BFSI) and government organizations are the major consumers of enterprise data management functionalities.
The increased amount of data generated by organizations, need for on time qualified information, streamlined business operations, and increased need for risk management are some of the other drivers influencing the growth of the global enterprise data management market. Further, increasing demand from small and medium sized industries is a major trend influencing the market.
The key competitors in the global enterprise data market include IBM Corp., Informatica Corporation, SAS Institute Inc., Oracle Corp, International Business Machines Corp, Adaptive Inc., Cambridge Semantics, Innovative Systems Inc., Solix Technologies Inc and Phasic Systems Inc.

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