Big Data Analytics in Banking Comprehensive Study by Application (Feedback Management, Customer Analytics, Social Media Analytics, Fraud Detection and Management, Others), Components (Software, Services), Deployment Mode (On-Premise, Cloud), Big Data Analytics (Prescriptive Analytics, Diagnostic Analytics, Descriptive Analytics, Predictive Analytics, Other) Players and Region - Global Market Outlook to 2028

Big Data Analytics in Banking Market by XX Submarkets | Forecast Years 2023-2028  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
In the Banking and Financial Services sector, through data analytics, institutions can monitor and assess large amounts of customer data and create personalized/customized products and services specific to individual consumers. Big data analytics can aid banks in understanding customer behavior based on the inputs received from their investment patterns, shopping trends, motivation to invest and personal or financial backgrounds. Big data in the healthcare market has high growth prospects owing to increasing spending on technological advancement in the healthcare industry. Further, the growing adoption of cloud-based analytics solutions in the healthcare industry expected to drive market growth over the forecasted period.This growth is primarily driven by Many organizations are increasingly depending on digital systems to realize their goals .

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Volume UnitN
Value UnitUSD (Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


The Systems Software sector in the region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as IBM (United States), Oracle (United States), SAP SE (Germany), Microsoft (United States), HP (United States), Amazon AWS (United States), Google (United States), Hitachi Data Systems (United States), Tableau (United States) and New Relic (United States), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
IBM acquired Armanta, an analytics software company. This acquisition will help the company enhance its management decision-making and better address regulatory compliance, allowing firms to re-allocate saved capital to innovation initiatives
IBM added Cloud Private data to its product portfolio, which is designed to help organizations to utilize data science and machine learning techniques, to generate valuable insights from data.The rising number of players expected to enter the global market is predicted to enhance the competition level as well as encourage the growth of the overall market in the near future. Players are anticipated to focus on the development of new technology, which is likely to encourage the growth of the global market throughout the forecast period.

Influencing Trend:
Rapid technological developments in the information technology sector and Increasing business operations

Market Growth Drivers:
Many organizations are increasingly depending on digital systems to realize their goals and Incorporation of Digital Transformation in Top-Level Strategies

Challenges:
Occurrence of inaccurate data

Restraints:
Lack of skilled workers associated in handling banking stuff related to big data

Opportunities:
High adoption rate owing to large potential in developing region like Asia Pacific and Strengthening Regulatory Landscape for Data Protection

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mainly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the market's growth. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Data Sources of Big Data Analytics in Banking Market Study

Primary Collection: InMail, LinkedIn Groups, Survey Monkey, Google, and Other professional Forums are some of the mediums utilized to gather primary data through key industry participants and appointees, subject-matter experts, C-level executives of Big Data Analytics in Banking Industry, among others including independent industry consultants, experts, to obtain and verify critical qualitative commentary and opinion and quantitative statistics, to assess future market prospects.

The primary interviews and data collected as per the below protocols:
• By Designation: C-Level, D-Level, Others
• By Company Type: Tier 1, Tier 2, Tier 3

Secondary Data Sources such as Annual reports, Press releases, Analyst meetings, Conference calls, Investor presentations, Management statements, and SEC filings of Big Data Analytics in Banking players along with Regulatory Sites, Association, World bank, etc were used as sources secondary set of data.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Big Data Analytics in Banking Study Sheds Light on
— The Big Data Analytics in Banking Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Big Data Analytics in Banking industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Big Data Analytics in Banking industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Application
  • Feedback Management
  • Customer Analytics
  • Social Media Analytics
  • Fraud Detection and Management
  • Others
By Components
  • Software
  • Services

By Deployment Mode
  • On-Premise
  • Cloud

By Big Data Analytics
  • Prescriptive Analytics
  • Diagnostic Analytics
  • Descriptive Analytics
  • Predictive Analytics
  • Other

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Many organizations are increasingly depending on digital systems to realize their goals
      • 3.2.2. Incorporation of Digital Transformation in Top-Level Strategies
    • 3.3. Market Challenges
      • 3.3.1. Occurrence of inaccurate data
    • 3.4. Market Trends
      • 3.4.1. Rapid technological developments in the information technology sector
      • 3.4.2. Increasing business operations
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Big Data Analytics in Banking, by Application, Components, Deployment Mode, Big Data Analytics and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Big Data Analytics in Banking (Value)
      • 5.2.1. Global Big Data Analytics in Banking by: Application (Value)
        • 5.2.1.1. Feedback Management
        • 5.2.1.2. Customer Analytics
        • 5.2.1.3. Social Media Analytics
        • 5.2.1.4. Fraud Detection and Management
        • 5.2.1.5. Others
      • 5.2.2. Global Big Data Analytics in Banking by: Components (Value)
        • 5.2.2.1. Software
        • 5.2.2.2. Services
      • 5.2.3. Global Big Data Analytics in Banking by: Deployment Mode (Value)
        • 5.2.3.1. On-Premise
        • 5.2.3.2. Cloud
      • 5.2.4. Global Big Data Analytics in Banking by: Big Data Analytics (Value)
        • 5.2.4.1. Prescriptive Analytics
        • 5.2.4.2. Diagnostic Analytics
        • 5.2.4.3. Descriptive Analytics
        • 5.2.4.4. Predictive Analytics
        • 5.2.4.5. Other
      • 5.2.5. Global Big Data Analytics in Banking Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Big Data Analytics in Banking (Price)
  • 6. Big Data Analytics in Banking: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Oracle (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. SAP SE (Germany)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Microsoft (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. HP (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Amazon AWS (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Google (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Hitachi Data Systems (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Tableau (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. New Relic (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Big Data Analytics in Banking Sale, by Application, Components, Deployment Mode, Big Data Analytics and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Big Data Analytics in Banking (Value)
      • 7.2.1. Global Big Data Analytics in Banking by: Application (Value)
        • 7.2.1.1. Feedback Management
        • 7.2.1.2. Customer Analytics
        • 7.2.1.3. Social Media Analytics
        • 7.2.1.4. Fraud Detection and Management
        • 7.2.1.5. Others
      • 7.2.2. Global Big Data Analytics in Banking by: Components (Value)
        • 7.2.2.1. Software
        • 7.2.2.2. Services
      • 7.2.3. Global Big Data Analytics in Banking by: Deployment Mode (Value)
        • 7.2.3.1. On-Premise
        • 7.2.3.2. Cloud
      • 7.2.4. Global Big Data Analytics in Banking by: Big Data Analytics (Value)
        • 7.2.4.1. Prescriptive Analytics
        • 7.2.4.2. Diagnostic Analytics
        • 7.2.4.3. Descriptive Analytics
        • 7.2.4.4. Predictive Analytics
        • 7.2.4.5. Other
      • 7.2.5. Global Big Data Analytics in Banking Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Big Data Analytics in Banking (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Big Data Analytics in Banking: by Application(USD Million)
  • Table 2. Big Data Analytics in Banking Feedback Management , by Region USD Million (2017-2022)
  • Table 3. Big Data Analytics in Banking Customer Analytics , by Region USD Million (2017-2022)
  • Table 4. Big Data Analytics in Banking Social Media Analytics , by Region USD Million (2017-2022)
  • Table 5. Big Data Analytics in Banking Fraud Detection and Management , by Region USD Million (2017-2022)
  • Table 6. Big Data Analytics in Banking Others , by Region USD Million (2017-2022)
  • Table 7. Big Data Analytics in Banking: by Components(USD Million)
  • Table 8. Big Data Analytics in Banking Software , by Region USD Million (2017-2022)
  • Table 9. Big Data Analytics in Banking Services , by Region USD Million (2017-2022)
  • Table 10. Big Data Analytics in Banking: by Deployment Mode(USD Million)
  • Table 11. Big Data Analytics in Banking On-Premise , by Region USD Million (2017-2022)
  • Table 12. Big Data Analytics in Banking Cloud , by Region USD Million (2017-2022)
  • Table 13. Big Data Analytics in Banking: by Big Data Analytics(USD Million)
  • Table 14. Big Data Analytics in Banking Prescriptive Analytics , by Region USD Million (2017-2022)
  • Table 15. Big Data Analytics in Banking Diagnostic Analytics , by Region USD Million (2017-2022)
  • Table 16. Big Data Analytics in Banking Descriptive Analytics , by Region USD Million (2017-2022)
  • Table 17. Big Data Analytics in Banking Predictive Analytics , by Region USD Million (2017-2022)
  • Table 18. Big Data Analytics in Banking Other , by Region USD Million (2017-2022)
  • Table 19. South America Big Data Analytics in Banking, by Country USD Million (2017-2022)
  • Table 20. South America Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 21. South America Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 22. South America Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 23. South America Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 24. Brazil Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 25. Brazil Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 26. Brazil Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 27. Brazil Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 28. Argentina Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 29. Argentina Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 30. Argentina Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 31. Argentina Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 32. Rest of South America Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 33. Rest of South America Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 34. Rest of South America Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 35. Rest of South America Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 36. Asia Pacific Big Data Analytics in Banking, by Country USD Million (2017-2022)
  • Table 37. Asia Pacific Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 38. Asia Pacific Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 39. Asia Pacific Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 40. Asia Pacific Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 41. China Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 42. China Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 43. China Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 44. China Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 45. Japan Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 46. Japan Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 47. Japan Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 48. Japan Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 49. India Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 50. India Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 51. India Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 52. India Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 53. South Korea Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 54. South Korea Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 55. South Korea Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 56. South Korea Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 57. Taiwan Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 58. Taiwan Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 59. Taiwan Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 60. Taiwan Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 61. Australia Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 62. Australia Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 63. Australia Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 64. Australia Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 65. Rest of Asia-Pacific Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 66. Rest of Asia-Pacific Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 67. Rest of Asia-Pacific Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 68. Rest of Asia-Pacific Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 69. Europe Big Data Analytics in Banking, by Country USD Million (2017-2022)
  • Table 70. Europe Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 71. Europe Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 72. Europe Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 73. Europe Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 74. Germany Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 75. Germany Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 76. Germany Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 77. Germany Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 78. France Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 79. France Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 80. France Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 81. France Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 82. Italy Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 83. Italy Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 84. Italy Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 85. Italy Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 86. United Kingdom Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 87. United Kingdom Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 88. United Kingdom Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 89. United Kingdom Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 90. Netherlands Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 91. Netherlands Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 92. Netherlands Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 93. Netherlands Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 94. Rest of Europe Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 95. Rest of Europe Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 96. Rest of Europe Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 97. Rest of Europe Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 98. MEA Big Data Analytics in Banking, by Country USD Million (2017-2022)
  • Table 99. MEA Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 100. MEA Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 101. MEA Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 102. MEA Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 103. Middle East Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 104. Middle East Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 105. Middle East Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 106. Middle East Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 107. Africa Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 108. Africa Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 109. Africa Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 110. Africa Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 111. North America Big Data Analytics in Banking, by Country USD Million (2017-2022)
  • Table 112. North America Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 113. North America Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 114. North America Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 115. North America Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 116. United States Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 117. United States Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 118. United States Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 119. United States Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 120. Canada Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 121. Canada Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 122. Canada Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 123. Canada Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 124. Mexico Big Data Analytics in Banking, by Application USD Million (2017-2022)
  • Table 125. Mexico Big Data Analytics in Banking, by Components USD Million (2017-2022)
  • Table 126. Mexico Big Data Analytics in Banking, by Deployment Mode USD Million (2017-2022)
  • Table 127. Mexico Big Data Analytics in Banking, by Big Data Analytics USD Million (2017-2022)
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Figure 33. Tableau (United States) Revenue, Net Income and Gross profit
  • Figure 34. Tableau (United States) Revenue: by Geography 2022
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Big Data Analytics in Banking: by Application(USD Million)
  • Table 139. Big Data Analytics in Banking Feedback Management , by Region USD Million (2023-2028)
  • Table 140. Big Data Analytics in Banking Customer Analytics , by Region USD Million (2023-2028)
  • Table 141. Big Data Analytics in Banking Social Media Analytics , by Region USD Million (2023-2028)
  • Table 142. Big Data Analytics in Banking Fraud Detection and Management , by Region USD Million (2023-2028)
  • Table 143. Big Data Analytics in Banking Others , by Region USD Million (2023-2028)
  • Table 144. Big Data Analytics in Banking: by Components(USD Million)
  • Table 145. Big Data Analytics in Banking Software , by Region USD Million (2023-2028)
  • Table 146. Big Data Analytics in Banking Services , by Region USD Million (2023-2028)
  • Table 147. Big Data Analytics in Banking: by Deployment Mode(USD Million)
  • Table 148. Big Data Analytics in Banking On-Premise , by Region USD Million (2023-2028)
  • Table 149. Big Data Analytics in Banking Cloud , by Region USD Million (2023-2028)
  • Table 150. Big Data Analytics in Banking: by Big Data Analytics(USD Million)
  • Table 151. Big Data Analytics in Banking Prescriptive Analytics , by Region USD Million (2023-2028)
  • Table 152. Big Data Analytics in Banking Diagnostic Analytics , by Region USD Million (2023-2028)
  • Table 153. Big Data Analytics in Banking Descriptive Analytics , by Region USD Million (2023-2028)
  • Table 154. Big Data Analytics in Banking Predictive Analytics , by Region USD Million (2023-2028)
  • Table 155. Big Data Analytics in Banking Other , by Region USD Million (2023-2028)
  • Table 156. South America Big Data Analytics in Banking, by Country USD Million (2023-2028)
  • Table 157. South America Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 158. South America Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 159. South America Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 160. South America Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 161. Brazil Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 162. Brazil Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 163. Brazil Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 164. Brazil Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 165. Argentina Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 166. Argentina Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 167. Argentina Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 168. Argentina Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 169. Rest of South America Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 170. Rest of South America Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 171. Rest of South America Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 172. Rest of South America Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 173. Asia Pacific Big Data Analytics in Banking, by Country USD Million (2023-2028)
  • Table 174. Asia Pacific Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 175. Asia Pacific Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 176. Asia Pacific Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 177. Asia Pacific Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 178. China Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 179. China Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 180. China Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 181. China Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 182. Japan Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 183. Japan Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 184. Japan Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 185. Japan Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 186. India Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 187. India Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 188. India Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 189. India Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 190. South Korea Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 191. South Korea Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 192. South Korea Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 193. South Korea Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 194. Taiwan Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 195. Taiwan Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 196. Taiwan Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 197. Taiwan Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 198. Australia Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 199. Australia Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 200. Australia Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 201. Australia Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 202. Rest of Asia-Pacific Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 203. Rest of Asia-Pacific Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 204. Rest of Asia-Pacific Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 205. Rest of Asia-Pacific Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 206. Europe Big Data Analytics in Banking, by Country USD Million (2023-2028)
  • Table 207. Europe Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 208. Europe Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 209. Europe Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 210. Europe Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 211. Germany Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 212. Germany Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 213. Germany Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 214. Germany Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 215. France Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 216. France Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 217. France Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 218. France Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 219. Italy Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 220. Italy Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 221. Italy Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 222. Italy Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 223. United Kingdom Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 224. United Kingdom Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 225. United Kingdom Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 226. United Kingdom Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 227. Netherlands Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 228. Netherlands Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 229. Netherlands Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 230. Netherlands Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 231. Rest of Europe Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 232. Rest of Europe Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 233. Rest of Europe Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 234. Rest of Europe Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 235. MEA Big Data Analytics in Banking, by Country USD Million (2023-2028)
  • Table 236. MEA Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 237. MEA Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 238. MEA Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 239. MEA Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 240. Middle East Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 241. Middle East Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 242. Middle East Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 243. Middle East Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 244. Africa Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 245. Africa Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 246. Africa Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 247. Africa Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 248. North America Big Data Analytics in Banking, by Country USD Million (2023-2028)
  • Table 249. North America Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 250. North America Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 251. North America Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 252. North America Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 253. United States Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 254. United States Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 255. United States Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 256. United States Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 257. Canada Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 258. Canada Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 259. Canada Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 260. Canada Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 261. Mexico Big Data Analytics in Banking, by Application USD Million (2023-2028)
  • Table 262. Mexico Big Data Analytics in Banking, by Components USD Million (2023-2028)
  • Table 263. Mexico Big Data Analytics in Banking, by Deployment Mode USD Million (2023-2028)
  • Table 264. Mexico Big Data Analytics in Banking, by Big Data Analytics USD Million (2023-2028)
  • Table 265. Research Programs/Design for This Report
  • Table 266. Key Data Information from Secondary Sources
  • Table 267. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Big Data Analytics in Banking: by Application USD Million (2017-2022)
  • Figure 5. Global Big Data Analytics in Banking: by Components USD Million (2017-2022)
  • Figure 6. Global Big Data Analytics in Banking: by Deployment Mode USD Million (2017-2022)
  • Figure 7. Global Big Data Analytics in Banking: by Big Data Analytics USD Million (2017-2022)
  • Figure 8. South America Big Data Analytics in Banking Share (%), by Country
  • Figure 9. Asia Pacific Big Data Analytics in Banking Share (%), by Country
  • Figure 10. Europe Big Data Analytics in Banking Share (%), by Country
  • Figure 11. MEA Big Data Analytics in Banking Share (%), by Country
  • Figure 12. North America Big Data Analytics in Banking Share (%), by Country
  • Figure 13. Global Big Data Analytics in Banking share by Players 2022 (%)
  • Figure 14. Global Big Data Analytics in Banking share by Players (Top 3) 2022(%)
  • Figure 15. Global Big Data Analytics in Banking share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 18. IBM (United States) Revenue: by Geography 2022
  • Figure 19. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 20. Oracle (United States) Revenue: by Geography 2022
  • Figure 21. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 22. SAP SE (Germany) Revenue: by Geography 2022
  • Figure 23. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 24. Microsoft (United States) Revenue: by Geography 2022
  • Figure 25. HP (United States) Revenue, Net Income and Gross profit
  • Figure 26. HP (United States) Revenue: by Geography 2022
  • Figure 27. Amazon AWS (United States) Revenue, Net Income and Gross profit
  • Figure 28. Amazon AWS (United States) Revenue: by Geography 2022
  • Figure 29. Google (United States) Revenue, Net Income and Gross profit
  • Figure 30. Google (United States) Revenue: by Geography 2022
  • Figure 31. Hitachi Data Systems (United States) Revenue, Net Income and Gross profit
  • Figure 32. Hitachi Data Systems (United States) Revenue: by Geography 2022
  • Figure 35. New Relic (United States) Revenue, Net Income and Gross profit
  • Figure 36. New Relic (United States) Revenue: by Geography 2022
  • Figure 37. Global Big Data Analytics in Banking: by Application USD Million (2023-2028)
  • Figure 38. Global Big Data Analytics in Banking: by Components USD Million (2023-2028)
  • Figure 39. Global Big Data Analytics in Banking: by Deployment Mode USD Million (2023-2028)
  • Figure 40. Global Big Data Analytics in Banking: by Big Data Analytics USD Million (2023-2028)
  • Figure 41. South America Big Data Analytics in Banking Share (%), by Country
  • Figure 42. Asia Pacific Big Data Analytics in Banking Share (%), by Country
  • Figure 43. Europe Big Data Analytics in Banking Share (%), by Country
  • Figure 44. MEA Big Data Analytics in Banking Share (%), by Country
  • Figure 45. North America Big Data Analytics in Banking Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Oracle (United States)
  • SAP SE (Germany)
  • Microsoft (United States)
  • HP (United States)
  • Amazon AWS (United States)
  • Google (United States)
  • Hitachi Data Systems (United States)
  • Tableau (United States)
  • New Relic (United States)
Additional players considered in the study are as follows:
Alation , Teradata , VMware , Splice Machine , Splunk Enterprise , Alteryx
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Key Highlights of Report


May 2023 223 Pages 60 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

Historical year: 2018-2022; Base year: 2022; Forecast period: 2023 to 2028
Companies that are profiled in Global Big Data Analytics in Banking Market are IBM (United States), Oracle (United States), SAP SE (Germany), Microsoft (United States), HP (United States), Amazon AWS (United States), Google (United States), Hitachi Data Systems (United States), Tableau (United States) and New Relic (United States) etc.
Feedback Management segment in Global market to hold robust market share owing to "Many organizations are increasingly depending on digital systems to realize their goals ".

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