银行业巨量资料分析市场规模、份额和成长分析（按资料来源、类型、应用、部署类型和地区划分）－产业预测，2025-2032年

预计到 2024 年，全球银行业巨量资料分析市场规模将达到 102 亿美元，从 2025 年的 246.8 亿美元成长到 2033 年的 293,611 亿美元，在预测期（2026-2033 年）内复合年增长率为 142.0%。

银行业巨量资料分析市场正经历强劲成长，这主要得益于数位银行的蓬勃发展、交易量的成长以及对诈欺侦测、风险管理和个人化客户体验的迫切需求。金融机构正大力投资巨量资料平台，以利用数据洞察提升营运效率与产生收入。北美凭藉其完善的法规结构和先进的IT基础设施主导市场，而欧洲的合规分析则在满足监管要求方面推动市场成长。亚太地区在数位银行的普及方面也取得了显着进展。此外，云端基础的分析平台的兴起正在提升市场的扩充性和成本效益。供应商正透过即时诈欺预防和预测分析来增强其服务，而区块链和自然语言处理等新兴技术则进一步丰富了市场，并持续推动全球对巨量资料解决方案的需求。

全球银行业巨量资料分析市场驱动因素

全球银行业巨量资料分析市场的主要驱动力之一是客户对更深入洞察和个人化金融服务日益增长的需求。随着银行和金融机构面临日益激烈的竞争，巨量资料分析使它们能够分析大量客户数据，识别模式，并设计符合个人偏好的客製化服务。这种能力不仅能提升客户参与和满意度，还有助于风险管理、诈欺侦测和优化营运效率。因此，数据驱动的决策能力对于银行在快速变化的金融环境中保持竞争优势至关重要。

全球银行业巨量资料分析市场面临的限制因素

全球银行业巨量资料分析市场面临的主要限制因素之一是对资料隐私和安全日益增长的担忧。随着银行越来越多地采用先进的分析技术，它们需要处理大量的敏感客户讯息，这增加了违反GDPR和CCPA等法规以及发生资料外洩的风险。这些合规性挑战会阻碍巨量资料解决方案的普及，因为它们要求金融机构在资料保护和完善的管治实践方面投入大量资金。此外，精通数据分析和网路安全的专业人才短缺进一步加剧了这一局面，限制了银行在维护客户信任的同时充分利用这些技术的能力。

全球银行业巨量资料分析市场趋势

全球银行业巨量资料分析市场的一个显着趋势是加速转型为云端基础分析平台。这项转变的主要驱动力是银行业对提升敏捷性、成本效益以及利用AWS、Azure和Google Cloud等云端服务供应商提供的先进人工智慧功能的需求。随着银行日益认识到即时资料处理和分析的价值，许多金融机构正在启动大规模资料迁移计划，以采用灵活的云端解决方案。这种转变不仅提高了营运效率，也使金融机构能够更好地满足不断变化的客户需求和应对市场挑战。

目录

介绍

• 调查目标
• 市场定义和范围

调查方法

• 调查过程
• 二手资料和一手资料方法
• 市场规模估算方法

执行摘要

• 全球市场展望
• 主要市场亮点
• 细分市场概览
• 竞赛概况

市场动态与展望

• 总体经济指标
• 驱动因素和机会
• 限制与挑战
• 供给面趋势
• 需求面趋势
• 波特的分析和影响

关键市场考察

• 关键成功因素
• 影响市场的因素
• 关键投资机会
• 生态系测绘
• 市场吸引力指数（2025）
• PESTEL 分析
• 价值链分析
• 定价分析
• 案例研究
• 监管环境
• 技术评估

全球银行业巨量资料分析市场规模（依资料来源及复合年增长率划分）（2026-2033 年）

• 内部数据
• 外部数据

全球银行业巨量资料分析市场规模（按类型和复合年增长率划分）（2026-2033 年）

• 说明分析
• 预测分析
• 指示性分析

全球银行业巨量资料分析市场按应用和复合年增长率划分（2026-2033 年）

• 诈欺侦测
• 风险管理
• 客户区隔
• 行销优化

全球银行业巨量资料分析市场规模（按部署类型和复合年增长率划分）（2026-2033 年）

• 本地部署
• 云端基础的

全球银行业巨量资料分析市场规模及复合年增长率（2026-2033）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 亚太其他地区
• 拉丁美洲
  • 墨西哥
  • 巴西
  • 其他拉丁美洲地区
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前五大公司对比
• 主要企业的市场定位（2025 年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市占率分析（2025 年）
• 主要企业公司简介
  • 公司详情
  • 产品系列分析
  • 依业务板块进行公司股票分析
  • 2023-2025年营收年比比较

主要企业简介

• IBM Corporation（United States）
• Microsoft Corporation（United States）
• Oracle Corporation（United States）
• SAP SE（Germany）
• Amazon Web Services（AWS）（United States）
• Google Cloud Platform（United States）
• SAS Institute（United States）
• Teradata Corporation（United States）
• Accenture PLC（Ireland）
• Tata Consultancy Services（TCS）（India）
• Infosys Ltd.（Finacle）（India）
• Wipro Limited（India）
• Temenos AG（Switzerland）
• Finastra（United Kingdom）
• Fiserv, Inc.（United States）
• Alteryx, Inc.（United States）
• Qlik Technologies Inc.（United States）
• SymphonyAI（United States）
• Databricks, Inc.（United States）
• Fractal Analytics（United States）

结论与建议

Global Big Data Analytics in Banking Market size was valued at USD 10.2 billion in 2024 and is poised to grow from USD 24.68 billion in 2025 to USD 29036.11 billion by 2033, growing at a CAGR of 142.0% during the forecast period (2026-2033).

The global Big Data Analytics market in banking is experiencing robust growth, propelled by the surge in digital banking, increasing transaction volumes, and the essential need for fraud detection, risk management, and personalized customer experiences. Financial institutions are heavily investing in big data platforms to harness insights that enhance operational efficiency and revenue generation. North America takes the lead, thanks to established regulatory frameworks and advanced IT infrastructures, while Europe sees growth driven by compliance analytics in response to regulatory requirements. The Asia-Pacific region is witnessing significant advancements due to digital banking proliferation. Additionally, the rise of cloud-based analytics platforms facilitates scalability and cost efficiency. Vendors are enhancing service offerings with real-time fraud prevention and predictive analytics, while emerging technologies like blockchain and natural language processing further enrich the landscape, ensuring sustained global demand for big data solutions.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Big Data Analytics in Banking market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Big Data Analytics in Banking Market Segments Analysis

Global Big Data Analytics in Banking Market is segmented by Data Source, Type, Application, Deployment Type and region. Based on Data Source, the market is segmented into Internal Data and External Data. Based on Type, the market is segmented into Descriptive Analytics, Predictive Analytics and Prescriptive Analytics. Based on Application, the market is segmented into Fraud Detection, Risk Management, Customer Segmentation and Marketing Optimization. Based on Deployment Type, the market is segmented into On-Premise and Cloud-Based. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Big Data Analytics in Banking Market

One of the key market drivers for the global big data analytics in banking market is the increasing need for enhanced customer insights and personalized financial services. As banks and financial institutions face growing competition, leveraging big data analytics allows them to analyze vast amounts of customer data, identify patterns, and tailor services to meet individual preferences. This capability not only improves customer engagement and satisfaction but also aids in risk management, fraud detection, and optimizing operational efficiencies. Consequently, the ability to make data-driven decisions is becoming essential for banks to maintain a competitive edge in a rapidly evolving financial landscape.

Restraints in the Global Big Data Analytics in Banking Market

A significant market restraint for the Global Big Data Analytics in Banking Market is the growing concern over data privacy and security. With the increasing adoption of advanced analytics, banks are handling vast amounts of sensitive customer information, raising the stakes for potential breaches and non-compliance with regulations such as GDPR and CCPA. These compliance challenges can hinder the implementation of big data solutions, as institutions must invest heavily in securing data and ensuring proper governance practices. Additionally, a lack of skilled professionals proficient in data analytics and cybersecurity further complicates the landscape, limiting banks' ability to fully leverage these technologies while maintaining trust.

Market Trends of the Global Big Data Analytics in Banking Market

A notable trend in the Global Big Data Analytics in Banking market is the accelerated shift towards cloud-based analytics platforms. This migration is largely fueled by the banking sector's need for enhanced agility, cost efficiency, and the ability to harness advanced AI capabilities readily available through providers like AWS, Azure, and Google Cloud. As banks increasingly recognize the value of real-time data processing and analytics, many are undertaking substantial data migration initiatives to adopt these flexible cloud solutions. This transition not only streamlines operations but also positions financial institutions to better navigate evolving customer demands and market challenges.

Table of Contents

Introduction

• Objectives of the Study
• Market Definition & Scope

Research Methodology

• Research Process
• Secondary & Primary Data Methods
• Market Size Estimation Methods

Executive Summary

• Global Market Outlook
• Key Market Highlights
• Segmental Overview
• Competition Overview

Market Dynamics & Outlook

• Macro-Economic Indicators
• Drivers & Opportunities
• Restraints & Challenges
• Supply Side Trends
• Demand Side Trends
• Porters Analysis & Impact
  • Competitive Rivalry
  • Threat of Substitute
  • Bargaining Power of Buyers
  • Threat of New Entrants
  • Bargaining Power of Suppliers

Key Market Insights

• Key Success Factors
• Market Impacting Factors
• Top Investment Pockets
• Ecosystem Mapping
• Market Attractiveness Index, 2025
• PESTEL Analysis
• Value Chain Analysis
• Pricing Analysis
• Case Studies
• Regulatory Landscape
• Technology Assessment

Global Big Data Analytics in Banking Market Size by Data Source & CAGR (2026-2033)

• Market Overview
• Internal Data
• External Data

Global Big Data Analytics in Banking Market Size by Type & CAGR (2026-2033)

• Market Overview
• Descriptive Analytics
• Predictive Analytics
• Prescriptive Analytics

Global Big Data Analytics in Banking Market Size by Application & CAGR (2026-2033)

• Market Overview
• Fraud Detection
• Risk Management
• Customer Segmentation
• Marketing Optimization

Global Big Data Analytics in Banking Market Size by Deployment Type & CAGR (2026-2033)

• Market Overview
• On-Premise
• Cloud-Based

Global Big Data Analytics in Banking Market Size & CAGR (2026-2033)

• North America (Data Source, Type, Application, Deployment Type)
  • US
  • Canada
• Europe (Data Source, Type, Application, Deployment Type)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Data Source, Type, Application, Deployment Type)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Data Source, Type, Application, Deployment Type)
  • Mexico
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Data Source, Type, Application, Deployment Type)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

• IBM Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Oracle Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAP SE (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services (AWS) (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google Cloud Platform (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAS Institute (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Teradata Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Accenture PLC (Ireland)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Tata Consultancy Services (TCS) (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Infosys Ltd. (Finacle) (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Wipro Limited (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Temenos AG (Switzerland)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Finastra (United Kingdom)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Fiserv, Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Alteryx, Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Qlik Technologies Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SymphonyAI (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Databricks, Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Fractal Analytics (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations