Prescriptive Analytics Market Globally Expected to Drive Growth through 2027
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Prescriptive AnalyticsMarket: Drivers and Challenges
The major driver for Prescriptive Analytics Market is development in advanced technologies such as Internet of Thing (IoT) and big data and rising status of real time accessibility of data for effective business applications has powered the growth of prescriptive analytics market.
However, high cost of investment, complex analytical workflow, data integrity and safety concerns and lack of trained professional is restraining the prescriptive analytics market.
Prescriptive AnalyticsMarket: Segmentation
Segmentation on the basis of deployment:
Segmentation on the basis of application:
Supply Chain Management
Segmentation on the basis of industry:
IT and Telecommunications
Transportation and Logistics
Defense and Government
Energy and Utilities
Prescriptive AnalyticsMarket: key players
Some of the key players for Prescriptive Analytics Market are Ayata, Frontline Systems, Inc., IBM Corporation, Profitect, Inc., River Logic, Inc., SAP SE, SAS Institute, Inc., TIBCO Software Inc.
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Prescriptive AnalyticsMarket: Regional Overview
Prescriptive Analytics Market is currently dominated by North America due to the technological advancements in this region.Asia Pacific Prescriptive Analytics Market is expected to have the highest growth rate during the forecast period.
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Find The Global Prescriptive Analytics Market Growth in Future.
“Global Prescriptive Analytics Market Research Report 2017” Purchase This Report by calling ResearchnReports.com at +1-888-631-6977. The research report, titled Global Prescriptive Analytics Market, is an analytical study of the global Prescriptive Analytics market, aided by an in-depth analysis of the performance of the market, both historically and in recent times using efficient analytical tools such as market feasibility and investment return to find out market attractiveness and to make future projections
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Prescriptive analytics is connected to both predictive and descriptive analytics. While predictive analytics helps to forecast what might occur and descriptive analytics provide information into what has happened, prescriptive analytics helps to provide the best results among different choices, given the known parameters. Prescriptive analytics can imply decision making options for how to take benefit of an upcoming opportunity or reduce a future risk and demonstrate the implication of every