Data as a Service (DaaS) is a cloud service leverage to ensure the availability of critical data in a convenient, cost-effective manner to businesses. DaaS model works on the principle of offloading the load and risks associated with Data Management to a third-party Cloud-based provider. DaaS enables users to access specified useful data on demand, regardless of any organization’s structural and geographical barriers.
DaaS eliminates redundancy and streamlines operational costs by integrating critical data of business at a particular location, thus enabling multiple users to use and modify the data, through a single update point. The DaaS technology is used in business for applications including Customer Resource Management (CRM), e-commerce, supply chain management systems, customer intelligence and Enterprise Resource Planning (ERP).
Market Overview:
Data as a Service is emerging as fundamental technologies that upkeep web services and SOA (service-oriented architecture) mature. Increasing penetration of high speed Internet network infrastructure is enabling user to access data irrespective of its location, creating DaaS a lucrative choice for enterprises. Additionally, the advent of SOA has reduced the relevance of the specific platform which resides enterprise data to a significant extent and has in turn contributed to the development of DaaS.
DaaS is similar to Software as a Service (SaaS) and Storage as a Service (SaaS) models and can be integrated with one or both of these provision models.
Key Market Players
Key players in the global DaaS market include Microsoft Corporation, Google Inc., Amazon Web Services, HP Enterprise Services (HP Enterprise strategic business unit), IBM Corporation, Oracle Corporation, EMC Corporation, SAP SE, SAS Institute, Inc., and Teradata Corporation. Other emerging players in DaaS market space are SunGard, Datameer Inc., Opera Solutions LLC, Sisense Inc., Birst, Inc., MapR Technologies Inc., and Mirantis Inc.
Regional analysis for DaaS Market includes development in the following regions:
North America
Latin America
Western Europe
Eastern Europe
Asia Pacific
Japan
The Middle East and Africa
Data As A Service Daas Market Segmentation:
Global DaaS market is mainly classified on the basis of pricing models, deployment type, organization size, industry verticals and geography.
On the basis of pricing models, DaaS market is segmented as
Volume-based model
Data type-based model
quantity-based pricing
pay-as-per use.
On the basis of deployment type, DaaS market is segmented as
Public cloud
Private cloud
Hybrid cloud
DaaS market cover following geographies:
North America
Latin America
Western Europe
Eastern Europe
Asia Pacific Excluding Japan
Japan
Middle East & Africa
DaaS market is segmented on the basis of its end-users as
SMEs
Large enterprises
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