Prescriptive Analytics Market: Global Industry Analysis and Opportunity Assessment 2017-2027


Prescriptive analytics market is rapidly growing across the globe, as there is rise in data discovery tools, innovation in data preparation tools, evolution in business oriented social networks and easy access to multi structured data. Many enterprises are adopting this solution to make better decisions and have greater control on business application. Prescriptive analytics finds the best path of action for the given situation for enterprises. It also takes structured and unstructured data, to prescribe how to take advantage of this predicted data for business future outcomes. Prescriptive analytics helps the enterprises in decision making based on past and projected scenarios. In addition to that, prescriptive analytics solutions enable enterprises for efficiency and also reduce overall operational costs.
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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:
- On-Premises
- On-Demand
Segmentation on the basis of application:
- Operation Management
- Risk Management
- Supply Chain Management
- Network Management
- Workforce Management
- Revenue Management
- Others
Segmentation on the basis of industry:
- IT and Telecommunications
- Manufacturing
- Transportation and Logistics
- Defense and Government
- BFSI
- Healthcare
- Retail
- Energy and Utilities
- Others
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.
Prescriptive Analytics Market Segments
- Prescriptive Analytics Market Dynamics
- Historical Actual Market Size, 2013 – 2015
- Prescriptive Analytics Market Size & Forecast 2017 to 2027
- Value Chain
- Prescriptive Analytics Market Current Trends/Issues/Challenges
- Competition & Companies involved
- Prescriptive Analytics Market Drivers and Restraints
Regional analysis for Critical Infrastructure Protection Market includes development of these systems in the following regions:
- North America
- US
- Canada
- Latin America
- Brazil
- Mexico
- Others
- Europe
- U.K.
- France
- Germany
- Poland
- Russia
- Asia Pacific
- Australia and New Zealand (ANZ)
- Greater China
- India
- ASEAN
- Rest of Asia Pacific
- Japan
- Middle East and Africa
- GCC Countries
- Other Middle East
- North Africa
- South Africa
- Other Africa
MRR.BIZ has been compiled in-depth market research data in the report after exhaustive primary and secondary research. Our team of able, experienced in-house analysts has collated the information through personal interviews and study of industry databases, journals, and reputable paid sources.
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The report provides the following information:
- Tailwinds and headwinds molding the market’s trajectory
- Market segments based on products, technology, and applications
- Prospects of each segment
- Overall current and possible future size of the market
- Growth pace of the market
- Competitive landscape and key players’ strategies
The main aim of the report is to:
- Enable key stakeholder’s in the market bet right on it
- Understand the opportunities and pitfalls awaiting them
- Assess the overall growth scope in the near term
- Strategize effectively with respect to production and distribution
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