What is Big Data Analytics in Banking?
Big Data analytics is an expanding technology which has application in diverse segments of the business world. It involves usage of some advanced statistical and mathematical models such as data mining, artificial intelligence and predictive analysis. In the report, the market outlook section mainly encompasses fundamental dynamics of the market which include drivers, restraints, opportunities and challenges faced by the industry. Drivers and Restraints are intrinsic factors whereas opportunities and challenges are extrinsic factors of the market.
Factors such as increasing need for real time monitoring of data generated by banks, growing adoption rate of Internet of Things (IoT) along with growing need for security of data have been driving the global big data analytics market. On the other hand, lacking awareness of the various benefits of big data solutions in banking sector as well as government rules & regulations might hamper the overall market at a global level.
Verified Market Research narrows down the available data using primary sources to validate the data and use it in compiling a full-fledged market research study. The report contains a quantitative and qualitative estimation of market elements which interests the client. The "Global Big Data Analytics in Banking Market" is mainly bifurcated into sub-segments which can provide a classified data regarding latest trends in the market. This can be of a great use in gaining knowledge about the cutting-edge technologies in the market.

Global Big Data Analytics in Banking Market Competitive Landscape
The "Global Big Data Analytics in Banking Market" study report will provide a valuable insight with an emphasis on global market including some of the major players as given below:
• IBM
• Oracle
• SAP SE
• Microsoft
• HP
• Amazon AWS
• Google
• Hitachi Data Systems
• Tableau
• New Relic
• Alation
• Teradata
• VMware
Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above mentioned players globally.

Global Big Data Analytics in Banking Market Segmentation, by Type
• On-Premise
• Cloud
Global Big Data Analytics in Banking Market Segmentation, by Application
• Feedback Management
• Fraud Detection and Management
• Customer Analytics
• Social Media Analytics
• Others
Global Big Data Analytics in Banking Market Geographic Scope
• North America
o U.S.
o Canada
o Mexico
• Europe
o Germany
o UK
o France
o Rest of Europe
• Asia Pacific
o China
o Japan
o India
o Rest of Asia Pacific
• Latin America
o Brazil
• Rest of the World

Research Methodology of Verified Market Research:

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Reasons to Purchase this Report
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players
• The current as well as future market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes an in-depth analysis of the market of various perspectives through Porter's five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come
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1 INTRODUCTION OF GLOBAL BIG DATA ANALYTICS IN BANKING MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF Verified Market Research
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL BIG DATA ANALYTICS IN BANKING MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework

5 GLOBAL BIG DATA ANALYTICS IN BANKING MARKET, BY TYPE
5.1 Overview
5.2 On-Premise
5.3 Cloud

6 GLOBAL BIG DATA ANALYTICS IN BANKING MARKET, BY APPLICATION
6.1 Overview
6.2 Feedback Management
6.3 Fraud Detection and Management
6.4 Customer Analytics
6.5 Social Media Analytics
6.6 Others

7 GLOBAL BIG DATA ANALYTICS IN BANKING MARKET, BY GEOGRAPHY
7.1 Overview
7.2 North America
7.2.1 U.S.
7.2.2 Canada
7.2.3 Mexico
7.3 Europe
7.3.1 Germany
7.3.2 U.K.
7.3.3 France
7.3.4 Rest of Europe
7.4 Asia Pacific
7.4.1 China
7.4.2 Japan
7.4.3 India
7.4.4 Rest of Asia Pacific
7.5 Latin America
7.5.1 Brazil
7.5.2 Argentina
7.6 Rest of the World

8 GLOBAL BIG DATA ANALYTICS IN BANKING MARKET COMPETITIVE LANDSCAPE
8.1 Overview
8.2 Company Market Share
8.3 Vendor Landscape
8.4 Key Development Strategies

9 COMPANY PROFILES
9.1 SAP SE
9.1.1 Overview
9.1.2 Financial Performance
9.1.3 Product Outlook
9.1.4 Key Developments

9.2 IBM Corporation
9.2.1 Overview
9.2.2 Financial Performance
9.2.3 Product Outlook
9.2.4 Key Developments

9.3 Microsoft Corporation
9.3.1 Overview
9.3.2 Financial Performance
9.3.3 Product Outlook
9.3.4 Key Developments

9.4 Oracle Corporation
9.4.1 Overview
9.4.2 Financial Performance
9.4.3 Product Outlook
9.4.4 Key Developments

9.5 Amazon AWS
9.5.1 Overview
9.5.2 Financial Performance
9.5.3 Product Outlook
9.5.4 Key Developments

9.6 Google
9.6.1 Overview
9.6.2 Financial Performance
9.6.3 Product Outlook
9.6.4 Key Developments

9.7 Hitachi Data Systems
9.7.1 Overview
9.7.2 Financial Performance
9.7.3 Product Outlook
9.7.4 Key Developments

9.8 Teradata Corporation
9.8.1 Overview
9.8.2 Financial Performance
9.8.3 Product Outlook
9.8.4 Key Developments

9.9 Tableau
9.9.1 Overview
9.9.2 Financial Performance
9.9.3 Product Outlook
9.9.4 Key Developments

9.10 New Relic
9.10.1 Overview
9.10.2 Financial Performance
9.10.3 Product Outlook
9.10.4 Key Developments

9.11 VMware
9.11.1 Overview
9.11.2 Financial Performance
9.11.3 Product Outlook
9.11.4 Key Developments

9.12 Alteryx
9.12.1 Overview
9.12.2 Financial Performance
9.12.3 Product Outlook
9.12.4 Key Developments

10 Appendix
10.1 Related Reports

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