Enterprise data management is the well-organized management of data which arise from an enterprise's procedures, controls, operations, technology, and people. Enterprise data management solutions benefit organizations to cleanse, standardize, profile, and de-duplicate data related with operations, marketing, finance, vendor relations as well as risk management. Enterprise data management helps different business organizations to eliminate administrative data conflicts and issues, due to the negligence of information and data. Basically, enterprise data management automatically get data from third-party cloud services, applications, and enterprise systems. After the data is received, it is checked for uniformity and after that it is integrity in order to provide superior quality information to end-users or enhance the quality of data. Enterprise data management is all about mining of qualitative data from large amount of data that can be utilized to establish links, and build strategic interpretations. Also, the data can be either structured or unstructured. Moreover, enterprise data management relates to how content gets integrated into applications as well as how the content is passed from one process to another. Enterprise data management reduces organizational conflicts and issues resulting from mismanagement of data. furthermore, it implements structured data delivery from data producer to data consumer. Enterprise data management usually comprises computing as well as network infrastructure, business logic and policies, and software applications utilized to manage enterprise data flow. Implementation of Enterprise data management requires collaboration between various departments such as finance, operations, and IT. Apart from that, enterprise data management smoothens the flow of data and decreases cycle time for different tasks. This brings about efficiency as well as effectiveness in managing enterprises. By acting as a master data management platform, enterprise data management provides customer data that consist of onboarding of new client data to integrate into internal systems of organizations.
Global Enterprise Data Management Market: Key Players
The research study includes profiles of leading companies operating in the global enterprise data management market. Key players profiled in the report include: Accenture, Informatica Corporation, SAS Institute, Inc., Symantec Corporation, Teradata Corporation, IBM Corporation, Intel Security, Oracle Corporation, SAP SE and Talend.
Drivers for the Global Enterprise Data Management Market:
The market for enterprise data management is observing a tremendous growth due to the surge in the demand for risk management solutions and rising need for on-time authentic information. These factors are anticipated to cumulatively drive the growth of enterprise data management market over the assessment period. At the same time, enterprise data management market is gaining prominence with the amplified need for managing voluminous data generated in an organization daily. The necessity for framing data strategy to gain competitive and strategic advantage is primarily driving the enterprise data management market. Apart from this, the amount of data generated and handled by organizations which they can use for various advantages is rising at a tremendous rate and thus placing data management high on agendas are also to drive the market over the forecast period.
Opportunities for the Global Enterprise Data Management Market:
The growing adoption of enterprise data management by many companies, across the world is creating immense opportunities for the growth of the market. Moreover, the production of Big Data technology is therefore anticipated to assist the EDM market remarkably to grow during the forecast period.
Restrains for the Global Enterprise Data Management Market:
High price of installation and services is one of the majors restrains in the global enterprise data management market. Also, data address validation issues, data quality, and data silos are some of the restraining factors hindering the growth of the EDM market. Furthermore, harmonization of enterprise data management frameworks in huge organizations can be an extremely challenging task.
Region Wise, Global Enterprise Data Management Market Analysis:
The global enterprise data management market covers five major geographic regions that include North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. North America is expected to hold the largest market size during the forecast period. The increasing demand for risk management solutions and rise in the requirement of on-time authentic information is boosting the demand for enterprise data management solutions in the APAC region. The government’s focus on adopting big data strategies to predict or identify potential threats is also expected fuel the growth of enterprise data management across the region.
On the same part, Asia Pacific region is also observed to be the fastest growing region in the enterprise data management market over the assessment period. The countries like India, Japan, South Korea, and China are the leading countries in the region as the growth of the market is attributed to rising investment to boost the IT sector. Europe region is anticipated to observe a substantial growth in the market in support of robust technological infrastructure.
Global Enterprise Data Management Market: Product analysis
- On-premise
- Hosted
Global Enterprise Data Management Market: Application analysis
- Small and medium-sized Business
- Large Enterprises
Global Enterprise Data Management Market: Region analysis
- North America
- U.S.
- Canada
- Mexico
- Europe
- U.K.
- France
- Germany
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- South Korea
- ASEAN
- India
- Rest of Asia Pacific
- Latin America
- Brazil
- Argentina
- Colombia
- Rest of L.A.
- Middle East and Africa
- Turkey
- GCC
- UAE
- South Africa
- Rest of Middle East
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