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Global Data Analytics in Banking Market, By Deployment Type (On-Premises, Cloud), By Type (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics), By Solution, By End User, By Region, Competition Forecast & Opportunities, 2026

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    Report

  • 116 Pages
  • September 2021
  • Region: Global
  • TechSci Research
  • ID: 5414880
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Global data analytics in banking market is expected to grow at a significant rate in the forecast period. Data analytics is the study of data to further interpret and process it to convert it into meaningful insights for making smart decisions. The role of data analytics can be crucial for the bank as it helps in gaining insights to make smart decisions at the right time. Data analytics can optimize the workflow as well as the functional areas including NPA, risk, compliance, fraud monitoring and can efficiently calculate the value at risk to ensure higher performance at work. The use of data analytics technology in banking institutions can help to make an informed decision to drive the organizations forward and increase the returns obtained to achieve the business goals. The advanced analytics technology aids the banks to witness improvements in all their daily activities. Data analytics in banking can provide the banks with important profile details about the customer along with transactional and trading analytics information. It can also improve the retention and acquisition of clients as well as cross and upselling. The use of data analytics technology can widely improve the efficiency and performance of banking institutions and can enhance the consumer experience by providing them with the necessary assistance.



Global data analytics in banking market is segmented into deployment type, type, solution, application, regional distribution, and company. Based on regional analysis, Asia-pacific is expected to witness the fastest incremental growth in the forecast period, 2022-2026. The growing adoption of digitization in banking intuitions and the increase in the number of banks in developing countries are boosting market growth. Technological advancements of the banking infrastructure and higher internet penetration are contributing significantly to the market growth.



The major players operating in the global data analytics in banking market are IBM Corporation, SAP SE, Oracle Corporation, Microsoft Corporation, Google LLC, Amazon Web Services, Inc., TIBCO Software, Inc., Hewlett Packard Enterprise Co., SiSense, Inc., Mu Sigma, Inc., Dell, Inc., Alteryx Inc., Teradata Corporation, Wipro Ltd., SAS Institute, Inc., among others. Major companies are developing advanced technologies and launching new services to stay competitive in the market. Other competitive strategies include mergers & acquisitions and new service developments.



Years considered for this report:

  • Historical Years: 2016-2019
  • Base Year: 2020
  • Estimated Year: 2021
  • Forecast Period: 2022-2026

Objective of the Study:

  • To analyze the historical growth of the market size of global data analytics in banking market from 2016 to 2019.
  • To estimate and forecast the market size of global data analytics in banking market from 2020 to 2026 and growth rate until 2026.
  • To classify and forecast global data analytics in banking market based on deployment type, type, solution, end user, regional distribution, and company.
  • To identify dominant region or segment in the global data analytics in banking.
  • To identify drivers and challenges for global data analytics in banking market.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global data analytics in banking market.
  • To identify and analyze the profile of leading players operating in global data analytics in banking market.
  • To identify key sustainable strategies adopted by market players in global data analytics in banking market.

The publisher performed both primary as well as exhaustive secondary research for this study. Initially, the publisher sourced a list of service providers across the globe. Subsequently, the publisher conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, the publisher could include the service providers who could not be identified due to the limitations of secondary research. The publisher analyzed the service providers, distribution channels and presence of all major players across the globe.



The publisher calculated the market size of global data analytics in banking market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. The publisher sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied.



Key Target Audience:

  • Data Analytics in Banking service provider companies
  • Market research and consulting firms
  • Government bodies such as regulating authorities and policy makers
  • Organizations, forums, and alliances related to data analytics in banking market

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers, suppliers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.



Report Scope:


In this report, global data analytics in banking market has been segmented into following categories, in addition to the industry trends which have also been detailed below:



Global Data Analytics in Banking Market, By Deployment Type:

  • On-Premises
  • Cloud

Global Data Analytics in Banking Market, By Type:

  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics

Global Data Analytics in Banking Market, By Solution:

  • Risk Management
  • Credit Risk Assessment
  • Fraud Detection and Management
  • Stress Testing
  • Others
  • Customer Analytics
  • Portfolio Management Analytics
  • Trading Analytics

Global Data Analytics in Banking Market, By Application:

  • Sell Side Firms
  • Commercial & Corporate Banks
  • Investment Banks
  • Stock Broking Firms
  • Others
  • Buy Side Firms
  • Asset Managers
  • Hedge Funds
  • Wealth Managers
  • Family Offices
  • Others

Global Data Analytics in Banking Market, By Region:

  • Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Europe
  • United Kingdom
  • Italy
  • France
  • Germany
  • Spain
  • North America
  • United States
  • Mexico
  • Canada
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in global data analytics in banking market.



Available Customizations:

With the given market data, the publisher offers customizations according to a company’s specific needs.


Table of Contents

1. Product Overview2. Research Methodology3. Impact of COVID-19 on Global Data Analytics in Banking Market4. Executive Summary
5. Voice of Customer
5.1. Awareness About Usage of Data Analytics in Banking
5.2. Data Analytics in Banking Adoption Readiness
5.3. Reasons Influencing Adoption of Data Analytics in Banking
5.4. Satisfaction Levels Based on Various Parameters
5.5. Key Challenges Faced in Adopting Data Analytics in Banking
6. Global Data Analytics in Banking Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Deployment Type (On-Premises, Cloud)
6.2.2. By Type (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics)
6.2.3. By Solution (Risk Management (Credit Risk Assessment, Fraud Detection and Management, Stress Testing, others), Customer Analytics, Portfolio Management Analytics, Trading Analytics)
6.2.4. By End User (Sell Side Firms, Buy Side Firms)
6.2.4.1. Sell Side Firms (Commercial & Corporate Banks, Investment Banks, Stock Broking Firms, Others)
6.2.4.2. Buy Side Firms (Asset Managers, Hedge Funds, Wealth Managers, Family Offices, Others)
6.2.5. By Region (Asia-Pacific, North America, Europe, MEA, South America)
6.2.6. By Company (2020)
6.3. Product Market Map
7. Asia-Pacific Data Analytics in Banking Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Deployment Type
7.2.2. By Type
7.2.3. By Solution
7.2.4. By End User
7.2.5. By Country (China; India; Japan; South Korea; Australia)
7.3. Asia-Pacific: Country Analysis
7.3.1. China Data Analytics in Banking Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Deployment Type
7.3.1.2.2. By Type
7.3.1.2.3. By Solution
7.3.1.2.4. By End User
7.3.2. India Data Analytics in Banking Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Deployment Type
7.3.2.2.2. By Type
7.3.2.2.3. By Solution
7.3.2.2.4. By End User
7.3.3. Japan Data Analytics in Banking Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Deployment Type
7.3.3.2.2. By Type
7.3.3.2.3. By Solution
7.3.3.2.4. By End User
7.3.4. South Korea Data Analytics in Banking Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Deployment Type
7.3.4.2.2. By Type
7.3.4.2.3. By Solution
7.3.4.2.4. By End User
7.3.5. Australia Data Analytics in Banking Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Deployment Type
7.3.5.2.2. By Type
7.3.5.2.3. By Solution
7.3.5.2.4. By End User
8. Europe Data Analytics in Banking Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Deployment Type
8.2.2. By Type
8.2.3. By Solution
8.2.4. By End User
8.2.5. By Country (United Kingdom; Italy; France; Germany; Spain)
8.3. Europe: Country Analysis
8.3.1. United Kingdom Data Analytics in Banking Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Deployment Type
8.3.1.2.2. By Type
8.3.1.2.3. By Solution
8.3.1.2.4. By End User
8.3.2. Italy Data Analytics in Banking Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Deployment Type
8.3.2.2.2. By Type
8.3.2.2.3. By Solution
8.3.2.2.4. By End User
8.3.3. France Data Analytics in Banking Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Deployment Type
8.3.3.2.2. By Type
8.3.3.2.3. By Solution
8.3.3.2.4. By End User
8.3.4. Germany Data Analytics in Banking Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Deployment Type
8.3.4.2.2. By Type
8.3.4.2.3. By Solution
8.3.4.2.4. By End User
8.3.5. Spain Data Analytics in Banking Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Deployment Type
8.3.5.2.2. By Type
8.3.5.2.3. By Solution
8.3.5.2.4. By End User
9. North America Data Analytics in Banking Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Deployment Type
9.2.2. By Type
9.2.3. By Solution
9.2.4. By End User
9.2.5. By Country (United States, Mexico, Canada)
9.3. North America: Country Analysis
9.3.1. United States Data Analytics in Banking Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Deployment Type
9.3.1.2.2. By Type
9.3.1.2.3. By Solution
9.3.1.2.4. By End User
9.3.2. Mexico Data Analytics in Banking Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Deployment Type
9.3.2.2.2. By Type
9.3.2.2.3. By Solution
9.3.2.2.4. By End User
9.3.3. Canada Data Analytics in Banking Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Deployment Type
9.3.3.2.2. By Type
9.3.3.2.3. By Solution
9.3.3.2.4. By End User
10. South America Data Analytics in Banking Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Deployment Type
10.2.2. By Type
10.2.3. By Solution
10.2.4. By End User
10.2.5. By Country (Brazil, Argentina, Colombia)
10.3. South America: Country Analysis
10.3.1. Brazil Data Analytics in Banking Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Deployment Type
10.3.1.2.2. By Type
10.3.1.2.3. By Solution
10.3.1.2.4. By End User
10.3.2. Argentina Data Analytics in Banking Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Deployment Type
10.3.2.2.2. By Type
10.3.2.2.3. By Solution
10.3.2.2.4. By End User
10.3.3. Colombia Data Analytics in Banking Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Deployment Type
10.3.3.2.2. By Type
10.3.3.2.3. By Solution
10.3.3.2.4. By End User
11. Middle East and Africa (MEA) Data Analytics in Banking Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Deployment Type
11.2.2. By Type
11.2.3. By Solution
11.2.4. By End User
11.2.5. By Country (UAE; Saudi Arabia; South Africa)
11.3. Middle East and Africa (MEA): Country Analysis
11.3.1. UAE Data Analytics in Banking Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Deployment Type
11.3.1.2.2. By Type
11.3.1.2.3. By Solution
11.3.1.2.4. By End User
11.3.2. Saudi Arabia Data Analytics in Banking Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Deployment Type
11.3.2.2.2. By Type
11.3.2.2.3. By Solution
11.3.2.2.4. By End User
11.3.3. South Africa Data Analytics in Banking Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Deployment Type
11.3.3.2.2. By Type
11.3.3.2.3. By Solution
11.3.3.2.4. By End User
12. Market Dynamics
12.1. Drivers
12.2. Challenges
13. Market Trends & Developments
14. Competitive Landscape
14.1. Competition Outlook
14.2. Company Profiles
14.2.1. IBM Corporation
14.2.2. SAP SE
14.2.3. Oracle Corporation
14.2.4. Microsoft Corporation
14.2.5. Google LLC
14.2.6. Amazon Web Services, Inc.
14.2.7. TIBCO Software, Inc.
14.2.8. Hewlett Packard Enterprise Co.
14.2.9. SiSense, Inc.
14.2.10. Mu Sigma, Inc.
14.2.11. Dell, Inc.
14.2.12. Alteryx Inc.
14.2.13. Teradata Corporation
14.2.14. Wipro Ltd.
14.2.15. SAS Institute, Inc.
15. Strategic Recommendations16. About the Publisher & Disclaimer

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • IBM Corporation
  • SAP SE
  • Oracle Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • TIBCO Software, Inc.
  • Hewlett Packard Enterprise Co.
  • SiSense, Inc.
  • Mu Sigma, Inc.
  • Dell, Inc.
  • Alteryx Inc.
  • Teradata Corporation
  • Wipro Ltd.
  • SAS Institute, Inc.