Market Report, "Data as a Service (DaaS) Market and Forecasts 2014 - 2019", published


New Software market report from MindCommerce: "Data as a Service (DaaS) Market and Forecasts 2014 - 2019"


[USPRwire, Mon Nov 17 2014] Data as a Service (DaaS) is defined as any service offered wherein users can access vendor provided databases or host their own databases on vendor managed systems. DaaS is expected to grow significantly in the near future due to a few dominant themes including cloud-based infrastructure/services, enterprise data syndication, and the consumer services trend towards Everything as a Service (XaaS). In addition, vendor managed systems provide necessary scalability and security for sustainable services execution.

The DaaS market is expected to continue to expand alongside the cloud services model over the next decade. This research evaluates the DaaS ecosystem including technologies, companies, and solutions. The report assesses market opportunities and provides a market outlook and forecast through 2019. The report also includes a vendor analysis segmented by three categories (1) The largest companies providing DaaS at an infrastructural level and handling big data, (2) Mid-sized companies that tend to operate in other areas such as business intelligence, CRM, etc.) and (3) Smaller companies that offer DaaS as an integrated service with SaaS for focused analytical perspectives on specific markets.

Full Report Details at
- http://www.fastmr.com/prod/901490_data_as_a_service_daas_market_and_forecasts_2014.aspx?afid=302

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Target Audience:

* Telecom companies
* Data services companies
* Cloud services companies
* Data infrastructure providers
* Network and application integrators
* Intermediaries and mediation companies

Key Findings:

* Forecast for DaaS through 2019
* Understand the DaaS ecosystem
* Identify key players and strategies
* Understand DaaS technologies and tools
* Recognize the importance of data mediation
* Understand data management best practices
* Understand the importance of managed systems
* Identify the relationship between DaaS and cloud

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