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….