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市场调查报告书
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1889313

2025年全球银行业巨量资料分析市场报告

Big Data Analytics in Banking Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，银行业巨量资料分析市场规模快速扩张，预计将从2024年的355.6亿美元成长到2025年的398.6亿美元，复合年增长率达12.1%。过去几年的成长可归因于数位银行的日益普及、客户资料量的不断增长、对诈欺检测解决方案需求的日益增长、预测分析的广泛应用以及监管合规要求的日益严格。

预计未来几年，银行业巨量资料分析市场规模将快速成长，到2029年将达到620.7亿美元，复合年增长率（CAGR）为11.7%。预测期间的成长可归因于对数据驱动决策的投资增加、对个人化银行服务的日益重视、云端基础分析平台的广泛应用以及对即时数据处理需求的不断增长。预测期内的关键趋势包括分析平台的演进、人工智慧驱动的金融洞察创新、即时数据视觉化工具的开发、巨量资料演算法的研发以及数据管理系统自动化程度的提高。

数位银行平台的日益普及预计将推动银行业巨量资料分析市场的成长。数位银行平台是指客户无需前往分店即可存取帐户、进行交易和管理财务的线上或行动服务。由于客户对便利性、即时服务和远端银行服务的需求不断增长，数位银行平台的普及率正在上升。巨量资料分析透过提供客户行为洞察、检测诈欺、优化个人化服务以及提高营运效率来支援数位银行业务。例如，根据开放银行有限公司（Open Banking Limited）2025年9月报告，超过1516万个人和企业使用了技术赋能的服务，交易笔数达到20.4亿笔（较6月份增长3.5%）。因此，数位银行的广泛应用正在推动巨量资料分析的成长。

银行业巨量资料分析市场的主要企业正在采用云端基础的分析平台，例如完全託管的资料湖和人工智慧云端服务，以提高可扩展性、灵活性和营运效率。云端基础的分析平台是託管在互联网上的集中式系统，使银行能够在无需本地基础设施的情况下储存、处理和分析大量的财务和客户数据，从而支援即时洞察和合规性。 2025年10月，总部位于美国的云端运算公司Oracle宣布推出“Oracle金融服务分析云端”，该平台提供整合的资料管理、人工智慧驱动的预测模型以及与核心银行系统的无缝API连接。该平台使银行能够快速扩展其分析业务，降低IT成本，并透过个人化金融服务改善客户体验。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球银行业巨量资料分析：PESTEL 分析（政治、社会、科技、环境、法律因素、驱动因素与限制因素）
  • 终端用户产业分析
  • 全球银行业巨量资料分析市场：成长率分析
  • 全球银行业巨量资料分析市场表现：规模与成长，2019-2024年
  • 全球银行业巨量资料分析市场：规模与成长，2024-2029年及2034年预测
  • 全球银行业巨量资料分析：潜在市场规模 (TAM)

第六章 市场细分

  • 全球银行业巨量资料分析市场：依组成部分划分，实际值及预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 软体
  • 服务
  • 全球银行业巨量资料分析市场依解类型划分，实际值及预测值（2019-2024年、2024-2029年预测值、2034年预测值）
  • 资料发现与视觉化 (DDV)
  • 进阶分析 (AA)
  • 全球银行业巨量资料分析市场依部署模式划分，实际值及预测值（2019-2024年、2024-2029年预测值、2034年预测值）
  • 本地部署
  • 云端基础的
  • 全球银行业巨量资料分析市场：依机构规模划分，实际值及预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 大型企业或银行
  • 中小企业或银行
  • 全球银行业巨量资料分析市场：依应用领域划分，实际值及预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 诈欺检测与预防
  • 风险管理与合规
  • 顾客行为与体验分析
  • 业务和流程优化
  • 收入成长和行销分析
  • 全球银行业巨量资料分析市场：依软体、类型、实际值及预测值细分，2019-2024年、2024-2029年预测值、2034年预测值
  • 资料管理工具
  • 分析平台
  • 数据视觉化工具
  • 预测分析软体
  • 风险管理软体
  • 客户分析软体
  • 诈欺侦测软体
  • 全球银行业巨量资料分析市场：依服务、类型、绩效及预测细分，2019-2024年、2024-2029年预测、2034年预测
  • 咨询服务
  • 实施服务
  • 支援和维护服务
  • 託管服务
  • 培训和教育服务

第七章 区域和国家分析

  • 全球银行业巨量资料分析市场：按地区划分，实际结果与预测（2019-2024年、2024-2029年预测、2034年预测）
  • 全球银行业巨量资料分析市场：按国家/地区划分，实际结果和预测，2019-2024 年、2024-2029 年预测、2034 年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 银行业巨量资料分析：竞争格局
  • 银行业巨量资料分析市场：公司概况
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • KPMG International Cooperative Overview, Products and Services, Strategy and Financial Analysis
    • NTT DATA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Capgemini Societas Europaea（Capgemini SE）Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • 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）

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年银行业巨量资料分析市场：提供新机会的国家
  • 2029年银行业巨量资料分析市场：新兴领域蕴藏新的机会
  • 2029年银行业巨量资料分析市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r39940

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

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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 market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

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.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Services
  • 2) By Solution Type: Data Discovery And Visualization (DDV); Advanced Analytics (AA)
  • 3) By Deployment Mode: On-Premises; Cloud-Based
  • 4) By Organization Size: Large Enterprises Or Banks; Small And Medium Enterprises (SMEs) Or Banks
  • 5) By Application: Fraud Detection And Prevention; Risk Management And Compliance; Customer Behavior And Experience Analytics; Operational And Process Optimization; Revenue Growth And Marketing Analytics
  • Subsegments:
  • 1) By Software: Data Management Tools; Analytics Platforms; Data Visualization Tools; Predictive Analytics Software; Risk Management Software; Customer Analytics Software; Fraud Detection Software
  • 2) By Services: Consulting Services; Implementation Services; Support And Maintenance Services; Managed Services; Training And Education Services
  • Companies Mentioned: 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).

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

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

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

  • 5.1. Global Big Data Analytics in Banking PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Big Data Analytics in Banking Market Growth Rate Analysis
  • 5.4. Global Big Data Analytics in Banking Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Big Data Analytics in Banking Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Big Data Analytics in Banking Total Addressable Market (TAM)

6. Big Data Analytics in Banking Market Segmentation

  • 6.1. Global Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • 6.2. Global Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Discovery And Visualization (DDV)
  • Advanced Analytics (AA)
  • 6.3. Global Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud-Based
  • 6.4. Global Big Data Analytics in Banking Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Large Enterprises Or Banks
  • Small And Medium Enterprises (SMEs) Or Banks
  • 6.5. Global Big Data Analytics in Banking Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Fraud Detection And Prevention
  • Risk Management And Compliance
  • Customer Behavior And Experience Analytics
  • Operational And Process Optimization
  • Revenue Growth And Marketing Analytics
  • 6.6. Global Big Data Analytics in Banking Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Management Tools
  • Analytics Platforms
  • Data Visualization Tools
  • Predictive Analytics Software
  • Risk Management Software
  • Customer Analytics Software
  • Fraud Detection Software
  • 6.7. Global Big Data Analytics in Banking Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Implementation Services
  • Support And Maintenance Services
  • Managed Services
  • Training And Education Services

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

  • 7.1. Global Big Data Analytics in Banking Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Big Data Analytics in Banking Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Big Data Analytics in Banking Market

  • 8.1. Asia-Pacific Big Data Analytics in Banking Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Big Data Analytics in Banking Market

  • 9.1. China Big Data Analytics in Banking Market Overview
  • 9.2. China Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Big Data Analytics in Banking Market

  • 10.1. India Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Big Data Analytics in Banking Market

  • 11.1. Japan Big Data Analytics in Banking Market Overview
  • 11.2. Japan Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Big Data Analytics in Banking Market

  • 12.1. Australia Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Big Data Analytics in Banking Market

  • 13.1. Indonesia Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Big Data Analytics in Banking Market

  • 14.1. South Korea Big Data Analytics in Banking Market Overview
  • 14.2. South Korea Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Big Data Analytics in Banking Market

  • 15.1. Western Europe Big Data Analytics in Banking Market Overview
  • 15.2. Western Europe Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Big Data Analytics in Banking Market

  • 16.1. UK Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Big Data Analytics in Banking Market

  • 17.1. Germany Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Big Data Analytics in Banking Market

  • 18.1. France Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Big Data Analytics in Banking Market

  • 19.1. Italy Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Big Data Analytics in Banking Market

  • 20.1. Spain Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Big Data Analytics in Banking Market

  • 21.1. Eastern Europe Big Data Analytics in Banking Market Overview
  • 21.2. Eastern Europe Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Big Data Analytics in Banking Market

  • 22.1. Russia Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Big Data Analytics in Banking Market

  • 23.1. North America Big Data Analytics in Banking Market Overview
  • 23.2. North America Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Big Data Analytics in Banking Market

  • 24.1. USA Big Data Analytics in Banking Market Overview
  • 24.2. USA Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Big Data Analytics in Banking Market

  • 25.1. Canada Big Data Analytics in Banking Market Overview
  • 25.2. Canada Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Big Data Analytics in Banking Market

  • 26.1. South America Big Data Analytics in Banking Market Overview
  • 26.2. South America Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Big Data Analytics in Banking Market

  • 27.1. Brazil Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Big Data Analytics in Banking Market

  • 28.1. Middle East Big Data Analytics in Banking Market Overview
  • 28.2. Middle East Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Big Data Analytics in Banking Market

  • 29.1. Africa Big Data Analytics in Banking Market Overview
  • 29.2. Africa Big Data Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Big Data Analytics in Banking Market, Segmentation By Solution Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Big Data Analytics in Banking Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 30.1. Big Data Analytics in Banking Market Competitive Landscape
  • 30.2. Big Data Analytics in Banking Market Company Profiles
    • 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. KPMG International Cooperative Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. NTT DATA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Capgemini Societas Europaea (Capgemini SE) Overview, Products and Services, Strategy and Financial Analysis

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

  • 31.1. International Business Machines Corporation (IBM)
  • 31.2. Wipro Limited
  • 31.3. HCL Technologies Limited
  • 31.4. Tata Consultancy Services Limited
  • 31.5. Accenture Public Limited Company (Accenture plc)
  • 31.6. Sopra Steria Group
  • 31.7. Infosys Limited
  • 31.8. Databricks Inc.
  • 31.9. Experian Public Limited Company (Experian plc)
  • 31.10. DXC Technology Company
  • 31.11. SAS Institute Inc.
  • 31.12. Palantir Technologies Inc.
  • 31.13. Equifax Inc.
  • 31.14. Mphasis Limited
  • 31.15. FICO (Fair Isaac Corporation)

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

  • 35.1 Big Data Analytics in Banking Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Big Data Analytics in Banking Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Big Data Analytics in Banking Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer