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(IT-NEWSWIRE.COM, September 15, 2018 ) Predictive analytics, with the aid of various statistical tools and modeling techniques enable companies and enterprises make reliable estimations and prediction about the future opportunities and market risks.
Scope of the Report:
This report studies the Predictive Analytics in Banking market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Predictive Analytics in Banking market by product type and applications/end industries.
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The global Predictive Analytics in Banking market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Predictive Analytics in Banking.
Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
The Companies Covered In This Study: Accretive Technologies Inc., Angoss Software Corporation, FICO, HP, IBM, Information Builders, KXEN Inc., Microsoft, Oracle, Salford Systems
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Marketing
Sales
Finance
Human resource
Operations
Market Segment by Applications, can be divided into
Small & Medium Enterprises (SMES)
Large Enterprises
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Table of Content
1 Predictive Analytics in Banking Market Overview
1.1 Product Overview and Scope of Predictive Analytics in Banking
1.2 Classification of Predictive Analytics in Banking by Types
1.2.1 Global Predictive Analytics in Banking Revenue Comparison by Types (2017-2023)
1.2.2 Global Predictive Analytics in Banking Revenue Market Share by Types in 2017
1.2.3 Marketing
1.2.4 Sales
1.2.5 Finance
1.2.6 Human resource
1.2.7 Operations
1.3 Global Predictive Analytics in Banking Market by Application
1.3.1 Global Predictive Analytics in Banking Market Size and Market Share Comparison by Applications (2013-2023)
1.3.2 Small & Medium Enterprises (SMES)
1.3.3 Large Enterprises
1.4 Global Predictive Analytics in Banking Market by Regions
1.4.1 Global Predictive Analytics in Banking Market Size (Million USD) Comparison by Regions (2013-2023)
1.4.1 North America (USA, Canada and Mexico) Predictive Analytics in Banking Status and Prospect (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy) Predictive Analytics in Banking Status and Prospect (2013-2023)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Predictive Analytics in Banking Status and Prospect (2013-2023)
1.4.4 South America (Brazil, Argentina, Colombia) Predictive Analytics in Banking Status and Prospect (2013-2023)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Predictive Analytics in Banking Status and Prospect (2013-2023)
1.5 Global Market Size of Predictive Analytics in Banking (2013-2023)
2 Manufacturers Profiles
2.1 Accretive Technologies Inc.
2.1.1 Business Overview
2.1.2 Predictive Analytics in Banking Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 Accretive Technologies Inc. Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.2 Angoss Software Corporation
2.2.1 Business Overview
2.2.2 Predictive Analytics in Banking Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Angoss Software Corporation Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.3 FICO
2.3.1 Business Overview
2.3.2 Predictive Analytics in Banking Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 FICO Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.4 HP
2.4.1 Business Overview
2.4.2 Predictive Analytics in Banking Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 HP Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.5 IBM
2.5.1 Business Overview
2.5.2 Predictive Analytics in Banking Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
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