Report Detail

Service & Software Global Big Data Analytics in Banking Market Size, Status and Forecast 2018-2025

  • RnM2427490
  • |
  • 09 July, 2020
  • |
  • Global
  • |
  • 126 Pages
  • |
  • QYResearch
  • |
  • Service & Software

1 Report Overview

  • 1.1 Study Scope
  • 1.2 Key Market Segments
  • 1.3 Players Covered: Ranking by Big Data Analytics in Banking Revenue
  • 1.4 Market by Type
    • 1.4.1 Global Big Data Analytics in Banking Market Size Growth Rate by Type: 2020 VS 2026
    • 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: 2020 VS 2026
    • 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 Global Big Data Analytics in Banking Market Perspective (2015-2026)
  • 2.2 Global Big Data Analytics in Banking Growth Trends by Regions
    • 2.2.1 Big Data Analytics in Banking Market Size by Regions: 2015 VS 2020 VS 2026
    • 2.2.2 Big Data Analytics in Banking Historic Market Share by Regions (2015-2020)
    • 2.2.3 Big Data Analytics in Banking Forecasted Market Size by Regions (2021-2026)
  • 2.3 Industry Trends and Growth Strategy
    • 2.3.1 Market Top Trends
    • 2.3.2 Market Drivers
    • 2.3.3 Market Challenges
    • 2.3.4 Porter’s Five Forces Analysis
    • 2.3.5 Big Data Analytics in Banking Market Growth Strategy
    • 2.3.6 Primary Interviews with Key Big Data Analytics in Banking Players (Opinion Leaders)

3 Competition Landscape by Key Players

  • 3.1 Global Top Big Data Analytics in Banking Players by Market Size
    • 3.1.1 Global Top Big Data Analytics in Banking Players by Revenue (2015-2020)
    • 3.1.2 Global Big Data Analytics in Banking Revenue Market Share by Players (2015-2020)
    • 3.1.3 Global Big Data Analytics in Banking Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
  • 3.2 Global Big Data Analytics in Banking Market Concentration Ratio
    • 3.2.1 Global Big Data Analytics in Banking Market Concentration Ratio (CR5 and HHI)
    • 3.2.2 Global Top 10 and Top 5 Companies by Big Data Analytics in Banking Revenue in 2019
  • 3.3 Big Data Analytics in Banking Key Players Head office and Area Served
  • 3.4 Key Players Big Data Analytics in Banking Product Solution and Service
  • 3.5 Date of Enter into Big Data Analytics in Banking Market
  • 3.6 Mergers & Acquisitions, Expansion Plans

4 Market Size by Type (2015-2026)

  • 4.1 Global Big Data Analytics in Banking Historic Market Size by Type (2015-2020)
  • 4.2 Global Big Data Analytics in Banking Forecasted Market Size by Type (2021-2026)

5 Market Size by Application (2015-2026)

  • 5.1 Global Big Data Analytics in Banking Market Size by Application (2015-2020)
  • 5.2 Global Big Data Analytics in Banking Forecasted Market Size by Application (2021-2026)

6 North America

  • 6.1 North America Big Data Analytics in Banking Market Size (2015-2020)
  • 6.2 Big Data Analytics in Banking Key Players in North America (2019-2020)
  • 6.3 North America Big Data Analytics in Banking Market Size by Type (2015-2020)
  • 6.4 North America Big Data Analytics in Banking Market Size by Application (2015-2020)

7 Europe

  • 7.1 Europe Big Data Analytics in Banking Market Size (2015-2020)
  • 7.2 Big Data Analytics in Banking Key Players in Europe (2019-2020)
  • 7.3 Europe Big Data Analytics in Banking Market Size by Type (2015-2020)
  • 7.4 Europe Big Data Analytics in Banking Market Size by Application (2015-2020)

8 China

  • 8.1 China Big Data Analytics in Banking Market Size (2015-2020)
  • 8.2 Big Data Analytics in Banking Key Players in China (2019-2020)
  • 8.3 China Big Data Analytics in Banking Market Size by Type (2015-2020)
  • 8.4 China Big Data Analytics in Banking Market Size by Application (2015-2020)

9 Japan

  • 9.1 Japan Big Data Analytics in Banking Market Size (2015-2020)
  • 9.2 Big Data Analytics in Banking Key Players in Japan (2019-2020)
  • 9.3 Japan Big Data Analytics in Banking Market Size by Type (2015-2020)
  • 9.4 Japan Big Data Analytics in Banking Market Size by Application (2015-2020)

10 Southeast Asia

  • 10.1 Southeast Asia Big Data Analytics in Banking Market Size (2015-2020)
  • 10.2 Big Data Analytics in Banking Key Players in Southeast Asia (2019-2020)
  • 10.3 Southeast Asia Big Data Analytics in Banking Market Size by Type (2015-2020)
  • 10.4 Southeast Asia Big Data Analytics in Banking Market Size by Application (2015-2020)

11 India

  • 11.1 India Big Data Analytics in Banking Market Size (2015-2020)
  • 11.2 Big Data Analytics in Banking Key Players in India (2019-2020)
  • 11.3 India Big Data Analytics in Banking Market Size by Type (2015-2020)
  • 11.4 India Big Data Analytics in Banking Market Size by Application (2015-2020)

12 Central & South America

  • 12.1 Central & South America Big Data Analytics in Banking Market Size (2015-2020)
  • 12.2 Big Data Analytics in Banking Key Players in Central & South America (2019-2020)
  • 12.3 Central & South America Big Data Analytics in Banking Market Size by Type (2015-2020)
  • 12.4 Central & South America Big Data Analytics in Banking Market Size by Application (2015-2020)

13 Key Players Profiles

  • 13.1 IBM
    • 13.1.1 IBM Company Details
    • 13.1.2 IBM Business Overview
    • 13.1.3 IBM Big Data Analytics in Banking Introduction
    • 13.1.4 IBM Revenue in Big Data Analytics in Banking Business (2015-2020))
    • 13.1.5 IBM Recent Development
  • 13.2 Oracle
    • 13.2.1 Oracle Company Details
    • 13.2.2 Oracle Business Overview
    • 13.2.3 Oracle Big Data Analytics in Banking Introduction
    • 13.2.4 Oracle Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 13.2.5 Oracle Recent Development
  • 13.3 SAP SE
    • 13.3.1 SAP SE Company Details
    • 13.3.2 SAP SE Business Overview
    • 13.3.3 SAP SE Big Data Analytics in Banking Introduction
    • 13.3.4 SAP SE Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 13.3.5 SAP SE Recent Development
  • 13.4 Microsoft
    • 13.4.1 Microsoft Company Details
    • 13.4.2 Microsoft Business Overview
    • 13.4.3 Microsoft Big Data Analytics in Banking Introduction
    • 13.4.4 Microsoft Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 13.4.5 Microsoft Recent Development
  • 13.5 HP
    • 13.5.1 HP Company Details
    • 13.5.2 HP Business Overview
    • 13.5.3 HP Big Data Analytics in Banking Introduction
    • 13.5.4 HP Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 13.5.5 HP Recent Development
  • 13.6 Amazon AWS
    • 13.6.1 Amazon AWS Company Details
    • 13.6.2 Amazon AWS Business Overview
    • 13.6.3 Amazon AWS Big Data Analytics in Banking Introduction
    • 13.6.4 Amazon AWS Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 13.6.5 Amazon AWS Recent Development
  • 13.7 Google
    • 13.7.1 Google Company Details
    • 13.7.2 Google Business Overview
    • 13.7.3 Google Big Data Analytics in Banking Introduction
    • 13.7.4 Google Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 13.7.5 Google Recent Development
  • 13.8 Hitachi Data Systems
    • 13.8.1 Hitachi Data Systems Company Details
    • 13.8.2 Hitachi Data Systems Business Overview
    • 13.8.3 Hitachi Data Systems Big Data Analytics in Banking Introduction
    • 13.8.4 Hitachi Data Systems Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 13.8.5 Hitachi Data Systems Recent Development
  • 13.9 Tableau
    • 13.9.1 Tableau Company Details
    • 13.9.2 Tableau Business Overview
    • 13.9.3 Tableau Big Data Analytics in Banking Introduction
    • 13.9.4 Tableau Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 13.9.5 Tableau Recent Development
  • 13.10 New Relic
    • 13.10.1 New Relic Company Details
    • 13.10.2 New Relic Business Overview
    • 13.10.3 New Relic Big Data Analytics in Banking Introduction
    • 13.10.4 New Relic Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 13.10.5 New Relic Recent Development
  • 13.11 Alation
    • 10.11.1 Alation Company Details
    • 10.11.2 Alation Business Overview
    • 10.11.3 Alation Big Data Analytics in Banking Introduction
    • 10.11.4 Alation Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 10.11.5 Alation Recent Development
  • 13.12 Teradata
    • 10.12.1 Teradata Company Details
    • 10.12.2 Teradata Business Overview
    • 10.12.3 Teradata Big Data Analytics in Banking Introduction
    • 10.12.4 Teradata Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 10.12.5 Teradata Recent Development
  • 13.13 VMware
    • 10.13.1 VMware Company Details
    • 10.13.2 VMware Business Overview
    • 10.13.3 VMware Big Data Analytics in Banking Introduction
    • 10.13.4 VMware Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 10.13.5 VMware Recent Development
  • 13.14 Splice Machine
    • 10.14.1 Splice Machine Company Details
    • 10.14.2 Splice Machine Business Overview
    • 10.14.3 Splice Machine Big Data Analytics in Banking Introduction
    • 10.14.4 Splice Machine Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 10.14.5 Splice Machine Recent Development
  • 13.15 Splunk Enterprise
    • 10.15.1 Splunk Enterprise Company Details
    • 10.15.2 Splunk Enterprise Business Overview
    • 10.15.3 Splunk Enterprise Big Data Analytics in Banking Introduction
    • 10.15.4 Splunk Enterprise Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 10.15.5 Splunk Enterprise Recent Development
  • 13.16 Alteryx
    • 10.16.1 Alteryx Company Details
    • 10.16.2 Alteryx Business Overview
    • 10.16.3 Alteryx Big Data Analytics in Banking Introduction
    • 10.16.4 Alteryx Revenue in Big Data Analytics in Banking Business (2015-2020)
    • 10.16.5 Alteryx Recent Development

14 Analyst's Viewpoints/Conclusions

    15 Appendix

    • 15.1 Research Methodology
      • 15.1.1 Methodology/Research Approach
      • 15.1.2 Data Source
    • 15.2 Disclaimer

    Big Data Analytics in Banking market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Big Data Analytics in Banking market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

    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

    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
    North America
    Europe
    China
    Japan
    Southeast Asia
    India
    Central & South America


    Summary:
    Get latest Market Research Reports on Big Data Analytics in Banking . Industry analysis & Market Report on Big Data Analytics in Banking is a syndicated market report, published as Global Big Data Analytics in Banking Market Size, Status and Forecast 2018-2025. It is complete Research Study and Industry Analysis of Big Data Analytics in Banking market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

    Last updated on

    REPORT YOU MIGHT BE INTERESTED

    Purchase this Report

    $3,900.00
    $5,850.00
    $7,800.00
    2,804.10
    4,206.15
    5,608.20
    3,272.10
    4,908.15
    6,544.20
    431,418.00
    647,127.00
    862,836.00
    289,536.00
    434,304.00
    579,072.00
    Credit card Logo

    Related Reports


    Reason to Buy

    Request for Sample of this report