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?
Table Of Contents
Global Predictive Analytics Market: Research Report 2015-2019 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