The global market for DWaaS is projected to have considerable CAGR of 22.5% during the forecast period. The major factor that propels the market growth include the growing enterprise data across the globe. For a few decades, the role played by database technology in companies and enterprises has only been that of storing operational data, that is data generated by daily, routine operations carried out within business processes (such as selling, purchasing, and billing). On the other hand, enterprise need to access quickly and reliably the strategic information that supports decision making. Such information is extracted mainly from the large amount of operational data stored in corporate databases, through a complex selection and summarization process.
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The exponential growth in data volumes made computers the only suitable support for the decisional process run by enterprise. Thus, the role of databases began to change, which led to the rise of decision support systems that were meant as the suite of tools and techniques capable of extracting relevant information from a set of electronically recorded data. Among decision support systems, data warehousing systems are probably those that captured the most attention from both the industrial and the academic world. A typical decision-making scenario is that of a large enterprise, with several branches, whose managers wish to quantify and evaluate the contribution given from each of them to the global commercial return of the enterprise.
Moreover, the significant adoption of enterprise data warehouse services in various verticals such as BFSI, IT & telecom, for better business outcomes through cost effective DWaaS services. On the other hand, the applications of data warehousing are not restricted to enterprises: They also range from epidemiology to demography, from natural sciences to didactics. The common trait for all these fields is the need for tools that enable the user to obtain summary information easily and quickly out of a vast amount of data, to use it for studying a phenomenon and discovering significant trends and correlations in short, for acquiring useful knowledge for decision support.
The core idea of data warehousing is to separate analytical queries, which are commonly called OLAP (On-Line Analytical Processing) queries, from the operational ones, called OLTP (On-Line Transactional Processing) queries. By building a new information repository that integrates the elemental data coming from different sources, organizes them into an appropriate structure, and makes them available for analyses and evaluations aimed at planning and decision making. The DwaaS are increasingly adopted by the various enterprise due to various benefits include:
- Easy access to non-skilled computer users.
- Data integration based on a model of the enterprise.
- Flexible querying capabilities to take advantage of the information assets.
- Synthesis, to enable targeted and effective analysis.
- Multidimensional representation to give the user an intuitive and handy view of information.
- Correctness, completeness, and freshness of information.
Global DWaaS Market Segmentation
By Deployment Type
- Public Cloud
- Private Cloud
- Hybrid Cloud
By Application
- Data Mining
- Reporting
- Analytics
- Others (Asset Management)
By Industry
- BFSI
- IT & Telecom
- Government
- Retail & E-commerce
- Healthcare
- Media & Entertainment
- Other (Manufacturing, Travel & Hospitality)
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Data Warehouse as a Service (DWaaS) Market Report Segment by Region
North America
- United States
- Canada
Europe
- Germany
- United Kingdom
- France
- Spain
- Italy
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
Rest of the World
- Middle East & Africa
- Latin America
Company Profiles
- 1010data, Inc.
- Amazon Web Services, Inc.
- Actian Corp.
- Accur8 Software
- AtScale, Inc.
- Cloudera, Inc.
- Google LLC
- IBM Corp.
- MarkLogic Corp.
- Microsoft Corp.
- Micro Focus International plc
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