Big Data Analytics in Banking Market 2018 Global Analysis By Key Players – IBM, Oracle, SAP SE, Microsoft, HP

Big Data Analytics in Banking Market 2018

Wiseguyreports.Com adds “Big Data Analytics in Banking Market –Market Demand, Growth, Opportunities, Analysis of Top Key Players and Forecast to 2025” To Its Research Database.

Report Details:

This report provides in depth study of “Big Data Analytics in Banking Market” using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization. The Big Data Analytics in Banking Market report also provides an in-depth survey of key players in the market which is based on the various objectives of an organization such as profiling, the product outline, the quantity of production, required raw material, and the financial health of the organization.

This report focuses on the global Big Data Analytics in Banking status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Big Data Analytics in Banking development in United States, Europe and China.

Big data analytics refers to the strategy of analyzing large volumes of data, or big data. 
APAC is expected to have High Adoption Rate Owing to Large Potential. Rapid technological developments in the information technology sector and increasing business operations mark Asia-Pacific (APAC) as the most important market for Big Data in banking during the forecast period. The biggest contributors to this market are China and India that account for most of the revenue in the APAC region. Many organizations in the APAC region are increasingly depending on digital systems to realize their goals. Several vendors, such as SAP and IBM provide wide -range of Big Data analytics services to banks in the region. Some of the core capabilities of these services include real-time monitoring, big cloud services, and other customized dashboards for easier retrieval of data, to ease the workflows. These tools enable organizations for on-the-resource planning and offer modified plans to aid decision-making. 

Customer Analytics is expected to be One of the Prime Software Application. A number of categories, such as defecting customers, loyal customers etc. can be identified through big data analytics and the required reward for each category can be decided. Through such applications, the retention of customers is possible, and the detection of disloyal customers helps the company to reduce the focus on such customers. The buying habits of customers can also be identified, and the sales for each customer can be customized. This customization results in the high response rate for customers and better customer experienced. 
In 2017, the global Big Data Analytics in Banking market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.

The key players covered in this study 
IBM 
Oracle 
SAP SE 
Microsoft 
HP 
Amazon AWS 
Google 
Hitachi Data Systems 
Tableau 
New Relic 
Alation 
Teradata 
VMware 
Splice Machine 
Splunk Enterprise 
Alteryx

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Market segment by Type, the product can be split into 
On-Premise 
Cloud

Market segment by Application, split into 
Feedback Management 
Customer Analytics 
Social Media Analytics 
Fraud Detection and Management 
Others

Market segment by Regions/Countries, this report covers 
United States 
Europe 
China 
Japan 
Southeast Asia 
India 
Central & South America

Key Stakeholders 
EHR-EMR Manufacturers 
EHR-EMR Distributors/Traders/Wholesalers 
EHR-EMR Subcomponent Manufacturers 
Industry Association 
Downstream Vendors

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Major Key Points in Table of Content:

1 Report Overview 
1.1 Study Scope 
1.2 Key Market Segments 
1.3 Players Covered 
1.4 Market Analysis by Type 
1.4.1 Global Big Data Analytics in Banking Market Size Growth Rate by Type (2013-2025) 
1.4.2 On-Premise 
1.4.3 Cloud 
1.5 Market by Application 
1.5.1 Global Big Data Analytics in Banking Market Share by Application (2013-2025) 
1.5.2 Feedback Management 
1.5.3 Customer Analytics 
1.5.4 Social Media Analytics 
1.5.5 Fraud Detection and Management 
1.5.6 Others 
1.6 Study Objectives 
1.7 Years Considered

2 Global Growth Trends 
2.1 EHR-EMR Market Size 
2.2 EHR-EMR Growth Trends by Regions 
2.2.1 EHR-EMR Market Size by Regions (2013-2025) 
2.2.2 EHR-EMR Market Share by Regions (2013-2018) 
2.3 Industry Trends 
2.3.1 Market Top Trends 
2.3.2 Market Drivers 
2.3.3 Market Opportunities

3 Market Share by Key Players 
3.1 EHR-EMR Market Size by Manufacturers 
3.1.1 Global EHR-EMR Revenue by Manufacturers (2013-2018) 
3.1.2 Global EHR-EMR Revenue Market Share by Manufacturers (2013-2018) 
3.1.3 Global EHR-EMR Market Concentration Ratio (CR5 and HHI) 
3.2 EHR-EMR Key Players Head office and Area Served 
3.3 Key Players EHR-EMR Product/Solution/Service 
3.4 Date of Enter into EHR-EMR Market 
3.5 Mergers & Acquisitions, Expansion Plans

…..

12 International Players Profiles 
12.1 IBM 
12.1.1 IBM Company Details 
12.1.2 Company Description and Business Overview 
12.1.3 Big Data Analytics in Banking Introduction 
12.1.4 IBM Revenue in Big Data Analytics in Banking Business (2013-2018) 
12.1.5 IBM Recent Development 
12.2 Oracle 
12.2.1 Oracle Company Details 
12.2.2 Company Description and Business Overview 
12.2.3 Big Data Analytics in Banking Introduction 
12.2.4 Oracle Revenue in Big Data Analytics in Banking Business (2013-2018) 
12.2.5 Oracle Recent Development 
12.3 SAP SE 
12.3.1 SAP SE Company Details 
12.3.2 Company Description and Business Overview 
12.3.3 Big Data Analytics in Banking Introduction 
12.3.4 SAP SE Revenue in Big Data Analytics in Banking Business (2013-2018) 
12.3.5 SAP SE Recent Development 
12.4 Microsoft 
12.4.1 Microsoft Company Details 
12.4.2 Company Description and Business Overview 
12.4.3 Big Data Analytics in Banking Introduction 
12.4.4 Microsoft Revenue in Big Data Analytics in Banking Business (2013-2018) 
12.4.5 Microsoft Recent Development 
12.5 HP 
12.5.1 HP Company Details 
12.5.2 Company Description and Business Overview 
12.5.3 Big Data Analytics in Banking Introduction 
12.5.4 HP Revenue in Big Data Analytics in Banking Business (2013-2018) 
12.5.5 HP Recent Development 
12.6 Amazon AWS 
12.6.1 Amazon AWS Company Details 
12.6.2 Company Description and Business Overview 
12.6.3 Big Data Analytics in Banking Introduction 
12.6.4 Amazon AWS Revenue in Big Data Analytics in Banking Business (2013-2018) 
12.6.5 Amazon AWS Recent Development 
12.7 Google 
12.7.1 Google Company Details 
12.7.2 Company Description and Business Overview 
12.7.3 Big Data Analytics in Banking Introduction 
12.7.4 Google Revenue in Big Data Analytics in Banking Business (2013-2018) 
12.7.5 Google Recent Development 
12.8 Hitachi Data Systems 
12.8.1 Hitachi Data Systems Company Details 
12.8.2 Company Description and Business Overview 
12.8.3 Big Data Analytics in Banking Introduction 
12.8.4 Hitachi Data Systems Revenue in Big Data Analytics in Banking Business (2013-2018) 
12.8.5 Hitachi Data Systems Recent Development 
12.9 Tableau 
12.9.1 Tableau Company Details 
12.9.2 Company Description and Business Overview 
12.9.3 Big Data Analytics in Banking Introduction 
12.9.4 Tableau Revenue in Big Data Analytics in Banking Business (2013-2018) 
12.9.5 Tableau Recent Development 
12.10 New Relic 
12.10.1 New Relic Company Details 
12.10.2 Company Description and Business Overview 
12.10.3 Big Data Analytics in Banking Introduction 
12.10.4 New Relic Revenue in Big Data Analytics in Banking Business (2013-2018) 
12.10.5 New Relic Recent Development 

Continued….

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