Analytics Market: Predictive, Healthcare, Outsourcing and SaaS-Based Business Analysis in Research Reports at ReportsnReports.com

Dallas, Texas (PRWEB) December 05, 2013

The cloud is fast becoming an important option for purchasing and deploying the software. Enterprises are increasingly investing in cloud-based offerings for their operational systems. A cloud-based deployment allows the embedding of predictive analytics in the solution. The target systems can be custom or packaged solutions and can be delivered in the cloud or on-premises. Cloud-based deployment is also used to embed ‘customer churn’ predictions in cloud-customer relationship management. The solutions based on cloud-based predictive analytics are well established in customer relationship management, human resources, and marketing. In addition, cloud-based predictive analytics (http://www.reportsnreports.com/reports/271325-global-predictive-analytics-market-2014-2018.html) is also used in the decision-making process and is known as Decision as a Service. Furthermore, the cloud empowers enterprises to deliver elastic computing power for building predictive analytics models.

Analysts forecast the Global Predictive Analytics market to grow at a CAGR of 30.19 percent over the period 2014-2018. According to the report, one of the major growth drivers in the market is the increasing need of enterprises to remain competitive in the market, which they achieve by implementing predictive analytics in their business processes.

Further, the report states that one of the major challenges is lack of awareness. It is often observed that enterprises are not aware of the potential benefits of implementing predictive analytics in their business processes.

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The report recognizes the following companies as the key players in the Global Predictive Analytics Market: IBM Corp., SAP AG, SAS Institute Inc., and TIBCO Software Inc.

Other vendors mentioned in the report are Angoss Software Corp., KXEN Inc., Megaputer Intelligence Inc., PegaSystems Inc., Pitney Bowes Inc., Revolution Analytics, and StatSoft Inc.

Key questions answered in this report:

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