About predictive analytics Predictive analytics helps to extract information from the existing data. It helps in understanding the pattern and predict the trend or future for the organization. It uses what-if scenarios to predict possible risks involved in the future. Predictive analytics also helps in the optimization of the marketing campaigns and understanding of the customer behaviour for increasing the end-user response and to reduce the churn. Predictive analytics is segmented into: Risk management: Includes processes such as fraud detection, mortgage underwriting, credit scoring, clinical DSS and the development of new pharmaceuticals Marketing: Includes applications such as direct marketing, predictive modeling, customer retention, and predictive advertisement targeting Personalized services: Includes customized services Technavio's analysts forecast the global predictive analytics market to grow at a CAGR of 25.31% during the period 2014-2019. Covered in this Report This report covers the present scenario and the growth prospects of the global predictive analytics market for the period 2015-2019. To calculate the market size, the report considers revenue generated from licenses, maintenance, upgradation, and subscription costs of predictive analytics solutions.... Research Beam Model: Research Beam Product ID: 338337 2500 USD New
Global Predictive Analytics Market: Research Report 2015-2019
 
 

Global Predictive Analytics Market: Research Report 2015-2019

  • Category : ICT & Media
  • Published On : October   2015
  • Pages : 65
  • Publisher : Technavio
 
 
 
About predictive analytics
Predictive analytics helps to extract information from the existing data. It helps in understanding the pattern and predict the trend or future for the organization. It uses what-if scenarios to predict possible risks involved in the future. Predictive analytics also helps in the optimization of the marketing campaigns and understanding of the customer behaviour for increasing the end-user response and to reduce the churn.
Predictive analytics is segmented into:
Risk management: Includes processes such as fraud detection, mortgage underwriting, credit scoring, clinical DSS and the development of new pharmaceuticals
Marketing: Includes applications such as direct marketing, predictive modeling, customer retention, and predictive advertisement targeting
Personalized services: Includes customized services

Technavio's analysts forecast the global predictive analytics market to grow at a CAGR of 25.31% during the period 2014-2019.

Covered in this Report
This report covers the present scenario and the growth prospects of the global predictive analytics market for the period 2015-2019. To calculate the market size, the report considers revenue generated from licenses, maintenance, upgradation, and subscription costs of predictive analytics solutions. The report also describes the predictive analytics market into four types of application:
• Sales and marketing
• Fraud management
• Risk management
• Operations management

The report also describes the market segmentation by end-users:
• BFSI
• Manufacturing
• Communication
• Healthcare
• Retail
• Transportation

Technavio's report, Global Predictive Analytics Market 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the landscape of the market and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors
• IBM
• Oracle
• SAP
• SAS Institute

Other prominent vendors
• Accretive Technologies
• Angoss Software
• HP
• Information Builders
• Megaputer Intelligence
• Microsoft
• Microstrategy
• Pegasystems
• Pitney Bowes
• Revolution Analytics
• StatSoft
• Tableau Software
• Teradata
• TIBCO Software

Market driver
• Use of big data
• For a full, detailed list, view our report

Market challenge
• Lack of expertise
• For a full, detailed list, view our report

Market trend
• Growing adoption for mobile analytics
• For a full, detailed list, view our report

Key questions answered in this report
• What will the market size be in 2019 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?
PART 01: Executive summary
Highlights

PART 02: Scope of the report
Market overview
Top-vendor offerings

PART 03: Market research methodology
Research methodology
Economic indicators

PART 04: Introduction
Key market highlights

PART 05: Market description
Predictive analytics workflow
Predictive analytics as
PART of business analytics model
Difference between business intelligence (BI) and predictive analytics
Analytics timeline

PART 06: Market landscape
Global predictive analytics market
Predictive analytics facts
Five forces analysis

PART 07: Market segmentation by application
Global predictive analytics market segmentation by application 2014

PART 08: Market segmentation by end user
Global predictive analytics market segmentation by end-user 2014

PART 09: Geographical segmentation
Global predictive analytics market segmentation by region 2014

PART 10: Key leading countries
US
UK

PART 11: Market drivers

PART 12: Impact of drivers

PART 13: Market challenges

PART 14: Impact of drivers and challenges

PART 15: Market trends

PART 16: Vendor landscape
Competitive scenario
Market share analysis 2014
Other prominent vendors

PART 17: Key vendor analysis
IBM
Oracle
SAP
SAS Institute

PART 18: Appendix
List of abbreviations

PART 19: Explore Technavio
Exhibit 01: Product offerings
Exhibit 02: Predictive analytics workflow
Exhibit 03: Predictive analytics as
PART of business analytics model
Exhibit 04: Difference between BI and predictive analytics
Exhibit 05: Analytics overview
Exhibit 06: Global predictive analytics market 2014-2019 ($ billions)
Exhibit 07: Five forces analysis
Exhibit 08: Global predictive analytics market segmentation by application 2014
Exhibit 09: Global predictive analytics market segmentation by end-user 2014
Exhibit 10: Global predictive analytics market segmentation by region 2014
Exhibit 11: Global predictive analytics market segmentation by region 2014-2019 ($ millions)
Exhibit 12: Key leading countries
Exhibit 13: Impact of drivers
Exhibit 14: Impact of drivers and challenges
Exhibit 15: IBM: Business segmentation by revenue 2014
Exhibit 16: IBM: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 17: Oracle: Business segmentation by revenue 2014
Exhibit 18: Oracle: Business segmentation by revenue 2013 and 2014 ($ millions)
Exhibit 19: Oracle: Geographical segmentation by revenue 2014
Exhibit 20: SAP: Business segmentation by revenue 2014
Exhibit 21: SAP: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 22: SAP: Geographical segmentation by revenue 2014

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