IT Intelligence Market, recently published a detailed market research study focused on the “Predictive Analytics Market” across the global, regional and country level. The report provides 360° analysis of “Predictive Analytics Market” from view of manufacturers, regions, product types and end industries. The research report analyses and provides the historical data along with current performance of the global PP Pipe industry, and estimates the future trend of Predictive Analytics on the basis of this detailed study. The study shares “Predictive Analytics” performance both in terms of volume and revenue.
The market research report explores the Predictive Analytics Market across the globe along with major regions and countries. The research report provides a detailed study on each and every aspect of “Predictive Analytics Market”. The research report studies the entire value chain from raw material to end user industries. The report also shares import/export statistics along with production and consumption for all major regions and countries. Moreover, the research study classifies the Predictive Analytics Market based on major product types, application and end users industries of Predictive Analytics. Besides, the report also covers geographical segmentation for Predictive Analytics Market. The report further provides production, capacity, price per region, gross margin, production cost, for all major regions and countries listed in report.
As per the research study, in 2018, the market opportunity for predictive analytics was worth US +$X bn and is expected to reach a value of +US$ X bn by the end of 2025.
The top five players operating in the global predictive analytics market, including SAP AG, SAS Institute, Inc., Oracle Corporation, IBM Corporation, and Microsoft Corporation
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The competitive landscape of the global market for Predictive Analytics is determined by assessing the major industry participants, production capacity, production capacity utilization rate, Predictive Analytics Market’s production chain, pricing by each manufacturer and the revenue generated by each manufacturer in the Predictive Analytics Market globally.
The Global Predictive Analytics Market 2018 is further analyzed on the basis of product pricing, Predictive Analytics production volume, data pertaining to demand and Predictive Analytics supply, and the revenue garnered by the product. The report provides upstream and downstream analysis covering major raw material used in manufacturing of Predictive Analytics along with detailed manufacturing sources. The report also shares list of major raw material manufacturers along with their manufacturing locations. Detailed raw material price trend analysis along with manufacturing cost analysis is also incorporated into the report. Various methodical tools such as investment returns, feasibility, SWOT analysis and market attractiveness analysis has been implemented in the research study to present a comprehensive, detailed study of the industry for Predictive Analytics across the world.
End-Use Industry: Banking and financial services, Insurance, Government, public administration, & utilities, Pharmaceutical, Telecom and IT, Retail
Solutions Type: Customer intelligence, Decision support systems, Performance management, Data mining and management, Fraud and security intelligence
Application: Sales and marketing, Customer and channel, Operations and workforce, Finance and risk
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The main points which are answered and covered in this Report are-
What will be the total market size in the coming years till 2025?
What will be the key factors which will be overall affecting the industry?
What are the various challenges addressed?
Which are the major companies included?
Table of Content:
Global Predictive Analytics in Banking Market Research Report 2018-2025
Chapter 1: Predictive Analytics in Banking Market Overview
Chapter 2: Global Economic Impact
Chapter 3: Competition by Manufacturer
Chapter 4: Production, Revenue (Value) by Region (2018-2025)
Chapter 5: Supply (Production), Consumption, Export, Import by Regions (2018-2025)
Chapter 6: Production, Revenue (Value), Price Trend by Type
Chapter 7: Analysis by Application
Chapter 8: Manufacturing Cost Analysis
Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10: Marketing Strategy Analysis, Distributors/Traders
Chapter 11: Market Effect Factors Analysis
Chapter 12: Market Forecast (2018-2025)
Chapter 13: Appendix
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