Active data warehousing is defined as the process of delivering the data actively (in real time) to the data warehouse where the analytic programming helps to turn data into information for decision making. Since business companies in today’s time work in a fast-paced environment and require immediate decisions, active data warehouses are required in order to provide up-to-date information.
Increasing adoption of business intelligence and big data solutions to gain the competitive advantage is the key factor for the growth of global active data warehousing market. Active data warehousing is also needed for ensuring better informed and faster decisions as well as for maintaining a perfect supply-demand balance by enabling strategic planning by way of providing timely data. However, factors such as the requirement of high consumption of resources and more time for its implementation coupled with the lack of skilled personnel, especially in developing countries, will restrain the growth of global active data warehousing market during the forecast period. Moreover, as the enterprises are continually changing in significant ways, the data warehouse design must change in sync which can lead to high operational costs to the company, thereby hindering the market growth of active data warehousing.
Research Methodology
Firstly, the report provides a brief introduction of the market and deals with detailed research methodology for calculating market size and forecasts, secondary data sources used and the primary inputs which were taken for data validation. This section also outlines various segmentation which has been covered as part of the report.
Market Dynamics
Next, the section provides comprehensive market dynamics through an overview section along with growth drivers, challenges, and opportunities which exist in the current market. This section of the report also provides supplier and industry outlook as a whole; key industry, global and regional regulations which are determining the market growth and a brief technological aspect of Active Data Warehousing. Complete industry analysis has also been covered by Porter’s five forces model as a part of this report section.
Segmentation
Thirdly, Active Data Warehousing market has been segmented on the basis of deployment methods, and geography as follows:
By Deployment Model
On Premise
Cloud
Hybrid
By Geography
Americas
North America
US
Canada
Mexico
Others
South America
Brazil
Argentina
Others
Europe Middle East and Africa
Europe
United Kingdom
Germany
France
Others
Middle East and Africa
Asia Pacific
Japan
China
India
Others
Market Players
Finally, competitive intelligence section deals with major players in the market, their market shares, growth strategies, products, financials, and recent investments among others. Key industry players profiled as part of this section are Teradata, IBM, Microsoft, Oracle, Kognitio, HP, Sybase and Cloudera among others.
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