세계의 은행 업무용 빅데이터 분석 시장 보고서(2025년)
Big Data Analytics in Banking Global Market Report 2025
상품코드 : 1889313
리서치사 : The Business Research Company
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한글목차

은행 업무용 빅데이터 분석 시장 규모는 최근 급속히 확대되고 있습니다. 2024년 355억 6,000만 달러로 평가되었고, 2025년에는 398억 6,000만 달러에 달할 것으로 추정되며, CAGR 12.1%로 성장이 전망되고 있습니다. 지난 수년간의 성장은 디지털 뱅킹 도입 확대, 고객 데이터 양 증가, 사기 감지 솔루션에 대한 수요 증가, 예측 분석 활용 확대 및 규제 준수 요구 사항 강화로 인한 것입니다.

은행 업무용 빅데이터 분석 시장 규모는 향후 수년간 급속한 성장이 예상됩니다. 2029년에는 620억 7,000만 달러에 달할 것으로 예측되며, CAGR 11.7%로 성장할 전망입니다. 예측 기간의 성장은 데이터 중심의 의사 결정에 대한 투자 증가, 개인화된 뱅킹 서비스에 대한 주력 강화, 클라우드 기반 분석 플랫폼의 보급 확대, 실시간 데이터 처리 수요 증가에 기인할 것으로 보입니다. 예측 기간의 주된 추세로는 분석 플랫폼의 진화, AI 구동형 금융 인사이트의 혁신, 실시간 데이터 시각화 툴의 개발, 빅 데이터 알고리즘의 연구개발, 데이터 관리 시스템의 자동화 진전을 들 수 있습니다.

디지털 뱅킹 플랫폼의 도입 확대는 은행 업무용 빅데이터 분석 시장의 성장을 견인할 것으로 예측됩니다. 디지털 뱅킹 플랫폼은 고객이 지점을 방문하지 않고 계좌에 액세스, 거래 수행 및 재무 관리를 수행할 수 있는 온라인 또는 모바일 서비스입니다. 편의성, 실시간 서비스 및 원격 뱅킹 기능에 대한 수요가 증가함에 따라 도입이 증가하는 경향이 있습니다. 빅데이터 분석은 고객 행동 인사이트 제공, 사기 감지, 개인화된 서비스 최적화, 업무 효율성 향상을 통해 디지털 뱅킹을 지원합니다. 예를 들어 2025년 9월, Open Banking Limited는 1,516만 명 이상의 개인 및 기업이 기술을 활용한 서비스를 이용해 거래 건수가 20억 4,000만 건에 달했다고 보고했습니다(6월 대비 3.5% 증가). 따라서 디지털 뱅킹의 보급은 빅데이터 분석의 성장을 이끌고 있습니다.

은행 업무용 빅데이터 분석 시장의 주요 기업은 확장성, 유연성 및 업무 효율성 향상을 위해 완전 관리 데이터 레이크 및 AI 대응 클라우드 서비스 등의 클라우드 기반 분석 플랫폼을 채용하고 있습니다. 클라우드 기반 분석 플랫폼은 인터넷에서 호스팅되는 중앙 집중식 시스템으로, 은행이 온프레미스 인프라 없이 대량의 금융 및 고객 데이터를 저장, 처리 및 분석할 수 있게 하여 실시간 인사이트 및 규제 준수를 지원합니다. 2025년 10월 미국에 본사를 둔 클라우드 컴퓨팅 기업인 Oracle은 통합 데이터 관리, AI 구동 예측 모델, 코어 뱅킹 시스템과의 원활한 API 연결을 제공하는 'Oracle Financial Services Analytics Cloud'를 발표했습니다. 이 플랫폼을 통해 은행은 분석 업무를 신속하게 확장하고 IT 비용을 절감하고 개인화된 금융 서비스를 통해 고객 경험을 향상시킬 수 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향 및 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁 및 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석 및 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별 및 국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도 및 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹 및 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문 및 전략

제36장 부록

AJY
영문 목차

영문목차

Big data analytics in banking involves applying advanced data analysis methods, such as machine learning and predictive modeling, to process and interpret large volumes of structured and unstructured financial data. It enables banks to understand customer behavior, detect fraud, optimize risk management, and enhance decision-making. Its primary objective is to improve operational efficiency, deliver personalized customer experiences, and strengthen financial performance through data-driven insights.

The main components in the big data analytics in banking market are software and services. Software refers to specialized applications and platforms that collect, process, and analyze large volumes of banking-related data to generate actionable insights. Solution types include data discovery and visualization and advanced analytics. Deployment modes include on-premises and cloud-based implementations, and organization sizes range from large enterprises or banks to small and medium enterprises or banks. These solutions are applied to use cases such as fraud detection and prevention, risk management and compliance, customer behavior and experience analytics, operational and process optimization, and revenue growth and marketing analytics.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the financial sector, particularly in investment strategies and risk management. Heightened tariffs have fueled market volatility, prompting cautious behavior among institutional investors and increasing demand for hedging instruments. Banks and asset managers are facing higher costs associated with cross-border transactions, as tariffs disrupt global supply chains and dampen corporate earnings, key drivers of equity market performance. Insurance companies, meanwhile, are grappling with increased claims risks tied to supply chain disruptions and trade-related business losses. Additionally, reduced consumer spending and weakened export demand are constraining credit growth and investment appetite. The sector must now prioritize diversification, digital transformation, and robust scenario planning to navigate the heightened economic uncertainty and protect profitability.

The big data analytics in banking market research report is one of a series of new reports from The Business Research Company that provides big data analytics in banking market statistics, including big data analytics in banking industry global market size, regional shares, competitors with a big data analytics in banking market share, detailed big data analytics in banking market segments, market trends and opportunities, and any further data you may need to thrive in the big data analytics in banking industry. This big data analytics in banking market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The big data analytics in banking market size has grown rapidly in recent years. It will grow from $35.56 billion in 2024 to $39.86 billion in 2025 at a compound annual growth rate (CAGR) of 12.1%. The growth in the historic period can be attributed to rising digital banking adoption, growing customer data volume, increasing demand for fraud detection solutions, expanded use of predictive analytics, and higher regulatory compliance requirements.

The big data analytics in banking market size is expected to see rapid growth in the next few years. It will grow to $62.07 billion in 2029 at a compound annual growth rate (CAGR) of 11.7%. The growth in the forecast period can be attributed to rising investments in data-driven decision-making, increasing focus on personalized banking services, expanding adoption of cloud-based analytics platforms, and higher demand for real-time data processing. Key trends in the forecast period include advancements in analytics platforms, innovations in AI-driven financial insights, developments in real-time data visualization tools, research and development in big data algorithms, and growing automation in data management systems.

The increasing adoption of digital banking platforms is expected to drive growth in the big data analytics in banking market. Digital banking platforms are online or mobile services that allow customers to access accounts, perform transactions, and manage finances without visiting branches. Adoption is rising due to demand for convenience, real-time services, and remote banking capabilities. Big data analytics supports digital banking by providing insights into customer behavior, detecting fraud, optimizing personalized services, and enhancing operational efficiency. For example, in September 2025, Open Banking Limited reported that over 15.16 million individuals and businesses were using technology-powered services, with transactions reaching 2.04 billion, a 3.5% increase from June. Therefore, digital banking adoption is driving growth in big data analytics.

Major companies in the big data analytics in banking market are adopting cloud-based analytics platforms, such as fully managed data lakes and AI-enabled cloud services, to improve scalability, flexibility, and operational efficiency. Cloud-based analytics platforms are centralized internet-hosted systems that allow banks to store, process, and analyze large volumes of financial and customer data without on-premises infrastructure, supporting real-time insights and regulatory compliance. In October 2025, Oracle Corporation, a US-based cloud computing company, introduced Oracle Financial Services Analytics Cloud, offering integrated data management, AI-driven predictive models, and seamless API connectivity for core banking systems. The platform allows banks to scale analytics operations rapidly, reduce IT overhead, and improve customer experience with personalized financial services.

In April 2025, Kinective, a US-based provider of banking operations platforms, acquired Datava for an undisclosed amount. The acquisition enables Kinective to integrate advanced, end-to-end data intelligence within its operations suite, allowing financial institutions to unify transactional and customer data and leverage predictive analytics for operational efficiency. Datava is a US-based provider of data aggregation, machine learning dashboards, and predictive banking analytics tools.

Major companies operating in the big data analytics in banking market are Microsoft Corporation, Oracle Corporation, KPMG International Cooperative, NTT DATA Corporation, Capgemini Societas Europaea (Capgemini SE), International Business Machines Corporation (IBM), Wipro Limited, HCL Technologies Limited, Tata Consultancy Services Limited, Accenture Public Limited Company (Accenture plc), Sopra Steria Group, Infosys Limited, Databricks Inc., Experian Public Limited Company (Experian plc), DXC Technology Company, SAS Institute Inc., Palantir Technologies Inc., Equifax Inc., Mphasis Limited, FICO (Fair Isaac Corporation), ThoughtWorks Inc., Cognizant Technology Solutions Corporation, Deloitte Touche Tohmatsu Limited, Neptune Intelligence Computer Engineering Ltd. (NICE), Alteryx Inc., MicroStrategy Incorporated, Teradata Corporation, Snowflake Inc., PricewaterhouseCoopers LLP (PwC), and Ernst & Young Global Limited (EY).

North America was the largest region in the big data analytics in banking market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the big data analytics in banking market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the big data analytics in banking market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The big data analytics in banking market consists of revenues earned by entities by providing services such as data mining, predictive analytics, regulatory compliance monitoring, credit scoring, portfolio optimization, market trend forecasting, data visualization and real-time transaction analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The big data analytics in banking market also includes sales of analytics software platforms, data management tools, cloud-based analytics systems, business intelligence (BI) dashboards, backup devices, and security hardware systems. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Big Data Analytics in Banking Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on big data analytics in banking market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for big data analytics in banking ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The big data analytics in banking market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Big Data Analytics in Banking Market Characteristics

3. Big Data Analytics in Banking Market Trends And Strategies

4. Big Data Analytics in Banking Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Big Data Analytics in Banking Growth Analysis And Strategic Analysis Framework

6. Big Data Analytics in Banking Market Segmentation

7. Big Data Analytics in Banking Market Regional And Country Analysis

8. Asia-Pacific Big Data Analytics in Banking Market

9. China Big Data Analytics in Banking Market

10. India Big Data Analytics in Banking Market

11. Japan Big Data Analytics in Banking Market

12. Australia Big Data Analytics in Banking Market

13. Indonesia Big Data Analytics in Banking Market

14. South Korea Big Data Analytics in Banking Market

15. Western Europe Big Data Analytics in Banking Market

16. UK Big Data Analytics in Banking Market

17. Germany Big Data Analytics in Banking Market

18. France Big Data Analytics in Banking Market

19. Italy Big Data Analytics in Banking Market

20. Spain Big Data Analytics in Banking Market

21. Eastern Europe Big Data Analytics in Banking Market

22. Russia Big Data Analytics in Banking Market

23. North America Big Data Analytics in Banking Market

24. USA Big Data Analytics in Banking Market

25. Canada Big Data Analytics in Banking Market

26. South America Big Data Analytics in Banking Market

27. Brazil Big Data Analytics in Banking Market

28. Middle East Big Data Analytics in Banking Market

29. Africa Big Data Analytics in Banking Market

30. Big Data Analytics in Banking Market Competitive Landscape And Company Profiles

31. Big Data Analytics in Banking Market Other Major And Innovative Companies

32. Global Big Data Analytics in Banking Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Big Data Analytics in Banking Market

34. Recent Developments In The Big Data Analytics in Banking Market

35. Big Data Analytics in Banking Market High Potential Countries, Segments and Strategies

36. Appendix

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