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세계의 은행용 빅데이터 분석 시장 예측, 경쟁 동향, 성장 기회(-2026년) : 전개, 유형, 솔루션, 최종 사용자, 지역별

Global Data Analytics in Banking Market, By Deployment Type, By Type, By Solution (Risk Management, Customer Analytics, Portfolio Management Analytics, Trading Analytics), By End User, By Region, Competition Forecast & Opportunities, 2026

리서치사 TechSci Research
발행일 2021년 09월 상품 코드 1025691
페이지 정보 영문 116 Pages
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TechSci Research 보고서는 10% Customization 서비스가 포함되어 있습니다. 보고서에 포함돼 있지 않은 리서치 데이터와 시장 동향을 추가적으로 요청할 수 있습니다. 자세한 사항은 문의하여 주시기 바랍니다.



세계의 은행용 빅데이터 분석 시장 예측, 경쟁 동향, 성장 기회(-2026년) : 전개, 유형, 솔루션, 최종 사용자, 지역별 Global Data Analytics in Banking Market, By Deployment Type, By Type, By Solution (Risk Management, Customer Analytics, Portfolio Management Analytics, Trading Analytics), By End User, By Region, Competition Forecast & Opportunities, 2026
발행일 : 2021년 09월 페이지 정보 : 영문 116 Pages

본 상품은 영문 자료로 한글과 영문목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계의 은행용 빅데이터 분석 시장은 예측 기간 동안 상당한 성장을 보일 것으로 예측되고 있습니다.

데이터 분석은 적절한 시기에 현명한 의사 결정을 위한 통찰력을 얻을 수 있도록 돕기 때문에 은행에 중요한 역할을 하고 있습니다.

세계 은행용 빅데이터 분석(Data Analytics in Banking) 시장을 조사했으며, 시장의 정의 및 개요/신종 코로나 바이러스 감염증(COVID-19) 및 기타 시장 영향 요인 분석/고객의 소리 분석/시장 규모의 추이·예측/전개 구분·유형·솔루션·최종 사용자별 내역/지역 및 주요 국가별 상세 분석/경쟁 환경/시장 점유율/주요 기업 개요 등을 정리했습니다.

목차

제1장 제품 개요

제2장 조사 방법

제3장 개요

제4장 COVID-19의 영향

제5장 고객의 소리

제6장 시장 전망

  • 시장 규모 예측
  • 시장 점유율 예측
    • 전개 구분별
      • 온프레미스
      • 클라우드
    • 유형별
      • 기술적 분석
      • 진단적 분석
      • 예측적 분석
      • 처방 분석
    • 솔루션별
      • 위험 관리
        • 신용 위험 평가
        • 부정 검출·관리
        • 스트레스 테스트 등
      • 고객 분석
      • 포트폴리오 관리 분석
      • 거래 분석
    • 최종 사용자별
      • 판매 사이드
        • 상업 은행&기업 은행
        • 투자 은행
        • 증권사
        • 기타
      • 구매 사이드
        • 자산 관리자
        • 헤지 펀드
        • 웰스 매니저
        • 패밀리 오피스
        • 기타
    • 지역별
    • 기업별
  • 제품 시장지도

제7장 아시아 태평양 시장 분석·예측

  • 시장 규모 예측
  • 시장 점유율 예측
    • 전개 구분별
    • 유형별
    • 솔루션별
    • 최종 사용자별
    • 국가별

제8장 유럽 시장 분석·예측

  • 시장 규모 예측
  • 시장 점유율 예측
    • 전개 구분별
    • 유형별
    • 솔루션별
    • 최종 사용자별
    • 국가별

제9장 북미 시장 분석 및 예측

  • 시장 규모 예측
  • 시장 점유율 예측
    • 전개 구분별
    • 유형별
    • 솔루션별
    • 최종 사용자별
    • 국가별

제10장 남미 시장 분석·예측

  • 시장 규모 예측
  • 시장 점유율 예측
    • 전개 구분별
    • 유형별
    • 솔루션별
    • 최종 사용자별
    • 국가별

제11장 중동·아프리카 시장 분석·예측

  • 시장 규모 예측
  • 시장 점유율 예측
    • 전개 구분별
    • 유형별
    • 솔루션별
    • 최종 사용자별
    • 국가별

제12장 시장 역학

  • 촉진 요인
  • 과제

제13장 시장 동향

제14장 경쟁 상황

  • 경쟁 전망
  • 기업개요
    • 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.

제15장 전략적 제언

제16장 회사 소개 및 면책 조항

LYJ 21.09.17

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.

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

TechSci Research 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. TechSci Research 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 by TechSci Research.

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, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

2. Research Methodology

3. Impact of COVID-19 on Global Data Analytics in Banking Market

4. 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 Recommendations

16. About Us & Disclaimer

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