- call +1-201-465-4211
- email sales@mrinsights.biz
Big data analytics refers to the strategy of analyzing large volumes of data, or big data.
Scope of the Report:
This report studies the Big Data 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 Big Data Analytics in Banking market by product type and applications/end industries.
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.
The global Big Data 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 Big Data 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%.
Market Segment by Companies, this report covers
IBM
Oracle
SAP SE
Microsoft
HP
Amazon AWS
Hitachi Data Systems
Tableau
New Relic
Alation
Teradata
VMware
Splice Machine
Splunk Enterprise
Alteryx
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
On-Premise
Cloud
Market Segment by Applications, can be divided into
Feedback Management
Customer Analytics
Social Media Analytics
Fraud Detection and Management
Others
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
Table of Contents
1 Big Data Analytics in Banking Market Overview
1.1 Product Overview and Scope of Big Data Analytics in Banking
1.2 Classification of Big Data Analytics in Banking by Types
1.2.1 Global Big Data Analytics in Banking Revenue Comparison by Types (2017-2023)
1.2.2 Global Big Data Analytics in Banking Revenue Market Share by Types in 2017
1.2.3 On-Premise
1.2.4 Cloud
1.3 Global Big Data Analytics in Banking Market by Application
1.3.1 Global Big Data Analytics in Banking Market Size and Market Share Comparison by Applications (2013-2023)
1.3.2 Feedback Management
1.3.3 Customer Analytics
1.3.4 Social Media Analytics
1.3.5 Fraud Detection and Management
1.3.6 Others
1.4 Global Big Data Analytics in Banking Market by Regions
1.4.1 Global Big Data Analytics in Banking Market Size (Million USD) Comparison by Regions (2013-2023)
1.4.1 North America (USA, Canada and Mexico) Big Data Analytics in Banking Status and Prospect (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy) Big Data Analytics in Banking Status and Prospect (2013-2023)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Big Data Analytics in Banking Status and Prospect (2013-2023)
1.4.4 South America (Brazil, Argentina, Colombia) Big Data Analytics in Banking Status and Prospect (2013-2023)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Big Data Analytics in Banking Status and Prospect (2013-2023)
1.5 Global Market Size of Big Data Analytics in Banking (2013-2023)
2 Manufacturers Profiles
2.1 IBM
2.1.1 Business Overview
2.1.2 Big Data Analytics in Banking Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 IBM Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.2 Oracle
2.2.1 Business Overview
2.2.2 Big Data Analytics in Banking Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Oracle Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.3 SAP SE
2.3.1 Business Overview
2.3.2 Big Data Analytics in Banking Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 SAP SE Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.4 Microsoft
2.4.1 Business Overview
2.4.2 Big Data Analytics in Banking Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 Microsoft Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.5 HP
2.5.1 Business Overview
2.5.2 Big Data Analytics in Banking Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 HP Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.6 Amazon AWS
2.6.1 Business Overview
2.6.2 Big Data Analytics in Banking Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 Amazon AWS Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.7 Google
2.7.1 Business Overview
2.7.2 Big Data Analytics in Banking Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 Google Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.8 Hitachi Data Systems
2.8.1 Business Overview
2.8.2 Big Data Analytics in Banking Type and Applications
2.8.2.1 Product A
2.8.2.2 Product B
2.8.3 Hitachi Data Systems Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.9 Tableau
2.9.1 Business Overview
2.9.2 Big Data Analytics in Banking Type and Applications
2.9.2.1 Product A
2.9.2.2 Product B
2.9.3 Tableau Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.10 New Relic
2.10.1 Business Overview
2.10.2 Big Data Analytics in Banking Type and Applications
2.10.2.1 Product A
2.10.2.2 Product B
2.10.3 New Relic Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.11 Alation
2.11.1 Business Overview
2.11.2 Big Data Analytics in Banking Type and Applications
2.11.2.1 Product A
2.11.2.2 Product B
2.11.3 Alation Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.12 Teradata
2.12.1 Business Overview
2.12.2 Big Data Analytics in Banking Type and Applications
2.12.2.1 Product A
2.12.2.2 Product B
2.12.3 Teradata Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.13 VMware
2.13.1 Business Overview
2.13.2 Big Data Analytics in Banking Type and Applications
2.13.2.1 Product A
2.13.2.2 Product B
2.13.3 VMware Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.14 Splice Machine
2.14.1 Business Overview
2.14.2 Big Data Analytics in Banking Type and Applications
2.14.2.1 Product A
2.14.2.2 Product B
2.14.3 Splice Machine Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.15 Splunk Enterprise
2.15.1 Business Overview
2.15.2 Big Data Analytics in Banking Type and Applications
2.15.2.1 Product A
2.15.2.2 Product B
2.15.3 Splunk Enterprise Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
2.16 Alteryx
2.16.1 Business Overview
2.16.2 Big Data Analytics in Banking Type and Applications
2.16.2.1 Product A
2.16.2.2 Product B
2.16.3 Alteryx Big Data Analytics in Banking Revenue, Gross Margin and Market Share (2016-2017)
3 Global Big Data Analytics in Banking Market Competition, by Players
3.1 Global Big Data Analytics in Banking Revenue and Share by Players (2013-2018)
3.2 Market Concentration Rate
3.2.1 Top 5 Big Data Analytics in Banking Players Market Share
3.2.2 Top 10 Big Data Analytics in Banking Players Market Share
3.3 Market Competition Trend
4 Global Big Data Analytics in Banking Market Size by Regions
4.1 Global Big Data Analytics in Banking Revenue and Market Share by Regions
4.2 North America Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
4.3 Europe Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
4.4 Asia-Pacific Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
4.5 South America Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
4.6 Middle East and Africa Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
5 North America Big Data Analytics in Banking Revenue by Countries
5.1 North America Big Data Analytics in Banking Revenue by Countries (2013-2018)
5.2 USA Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
5.3 Canada Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
5.4 Mexico Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
6 Europe Big Data Analytics in Banking Revenue by Countries
6.1 Europe Big Data Analytics in Banking Revenue by Countries (2013-2018)
6.2 Germany Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
6.3 UK Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
6.4 France Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
6.5 Russia Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
6.6 Italy Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
7 Asia-Pacific Big Data Analytics in Banking Revenue by Countries
7.1 Asia-Pacific Big Data Analytics in Banking Revenue by Countries (2013-2018)
7.2 China Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
7.3 Japan Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
7.4 Korea Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
7.5 India Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
7.6 Southeast Asia Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
8 South America Big Data Analytics in Banking Revenue by Countries
8.1 South America Big Data Analytics in Banking Revenue by Countries (2013-2018)
8.2 Brazil Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
8.3 Argentina Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
8.4 Colombia Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
9 Middle East and Africa Revenue Big Data Analytics in Banking by Countries
9.1 Middle East and Africa Big Data Analytics in Banking Revenue by Countries (2013-2018)
9.2 Saudi Arabia Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
9.3 UAE Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
9.4 Egypt Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
9.5 Nigeria Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
9.6 South Africa Big Data Analytics in Banking Revenue and Growth Rate (2013-2018)
10 Global Big Data Analytics in Banking Market Segment by Type
10.1 Global Big Data Analytics in Banking Revenue and Market Share by Type (2013-2018)
10.2 Global Big Data Analytics in Banking Market Forecast by Type (2018-2023)
10.3 On-Premise Revenue Growth Rate (2013-2023)
10.4 Cloud Revenue Growth Rate (2013-2023)
11 Global Big Data Analytics in Banking Market Segment by Application
11.1 Global Big Data Analytics in Banking Revenue Market Share by Application (2013-2018)
11.2 Big Data Analytics in Banking Market Forecast by Application (2018-2023)
11.3 Feedback Management Revenue Growth (2013-2018)
11.4 Customer Analytics Revenue Growth (2013-2018)
11.5 Social Media Analytics Revenue Growth (2013-2018)
11.6 Fraud Detection and Management Revenue Growth (2013-2018)
11.7 Others Revenue Growth (2013-2018)
12 Global Big Data Analytics in Banking Market Size Forecast (2018-2023)
12.1 Global Big Data Analytics in Banking Market Size Forecast (2018-2023)
12.2 Global Big Data Analytics in Banking Market Forecast by Regions (2018-2023)
12.3 North America Big Data Analytics in Banking Revenue Market Forecast (2018-2023)
12.4 Europe Big Data Analytics in Banking Revenue Market Forecast (2018-2023)
12.5 Asia-Pacific Big Data Analytics in Banking Revenue Market Forecast (2018-2023)
12.6 South America Big Data Analytics in Banking Revenue Market Forecast (2018-2023)
12.7 Middle East and Africa Big Data Analytics in Banking Revenue Market Forecast (2018-2023)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
List of Tables and Figures
Figure Big Data Analytics in Banking Picture
Table Product Specifications of Big Data Analytics in Banking
Table Global Big Data Analytics in Banking and Revenue (Million U
ProactiveWe manage our resources 24/7 to identify issues and address them before they become problems
Quality & ReliabilityWe are committed to providing reliable and highly accurate data with an excellent quality control system
Global Outreach6 Major regions and 40+ countries level analysis accomplished
Competitive PricingOur pricing strategy is highly competitive in the market, without compensating on the quality and the timeline of project delivery
