銀行業巨量資料分析市場規模、佔有率和成長分析（按資料來源、類型、應用、部署類型和地區分類）－產業預測，2025-2032年

預計到 2024 年，全球銀行業巨量資料分析市場規模將達到 102 億美元，從 2025 年的 246.8 億美元成長到 2033 年的 293,611 億美元，在預測期（2026-2033 年）內複合年成長率為 142.0%。

銀行業巨量資料分析市場正經歷強勁成長，這主要得益於數位銀行的蓬勃發展、交易量的成長以及對詐欺偵測、風險管理和個人化客戶體驗的迫切需求。金融機構正大力投資巨量資料平台，以利用數據洞察提升營運效率與產生收入。北美憑藉其完善的法規結構和先進的IT基礎設施主導市場，而歐洲的合規分析則在滿足監管要求方面推動市場成長。亞太地區在數位銀行的普及方面也取得了顯著進展。此外，雲端基礎的分析平台的興起正在提升市場的擴充性和成本效益。供應商正透過即時詐欺預防和預測分析來增強其服務，而區塊鏈和自然語言處理等新興技術則進一步豐富了市場，並持續推動全球對巨量資料解決方案的需求。

全球銀行業巨量資料分析市場促進因素

全球銀行業巨量資料分析市場的主要驅動力之一是客戶對更深入洞察和個人化金融服務日益成長的需求。隨著銀行和金融機構面臨日益激烈的競爭，巨量資料分析使它們能夠分析大量客戶數據，識別模式，並設計符合個人偏好的客製化服務。這種能力不僅能提升客戶參與和滿意度，還有助於風險管理、詐欺偵測和最佳化營運效率。因此，數據驅動的決策能力對於銀行在快速變化的金融環境中保持競爭優勢至關重要。

全球銀行業巨量資料分析市場面臨的限制因素

全球銀行業巨量資料分析市場面臨的主要限制因素之一是對資料隱私和安全日益成長的擔憂。隨著銀行擴大採用先進的分析技術，它們需要處理大量的敏感客戶訊息，這增加了違反GDPR和CCPA等法規以及發生資料外洩的風險。這些合規性挑戰會阻礙巨量資料解決方案的普及，因為它們要求金融機構在資料保護和完善的管治實踐方面投入大量資金。此外，精通數據分析和網路安全的專業人才短缺進一步加劇了這一局面，限制了銀行在維護客戶信任的同時充分利用這些技術的能力。

全球銀行業巨量資料分析市場趨勢

全球銀行業巨量資料分析市場的一個顯著趨勢是加速轉型為雲端基礎分析平台。這項轉變的主要驅動力是銀行業對提升敏捷性、成本效益以及利用AWS、Azure和Google Cloud等雲端服務供應商提供的先進人工智慧功能的需求。隨著銀行日益認知到即時資料處理和分析的價值，許多金融機構正在啟動大規模資料遷移計劃，以採用靈活的雲端解決方案。這種轉變不僅提高了營運效率，也使金融機構能夠更好地滿足不斷變化的客戶需求和應對市場挑戰。

目錄

介紹

• 調查目標
• 市場定義和範圍

調查方法

• 調查過程
• 二手資料和一手資料方法
• 市場規模估算方法

執行摘要

• 全球市場展望
• 主要市場亮點
• 細分市場概覽
• 競賽概況

市場動態與展望

• 總體經濟指標
• 促進因素和機遇
• 限制與挑戰
• 供給面趨勢
• 需求面趨勢
• 波特的分析和影響

關鍵市場考察

• 關鍵成功因素
• 影響市場的因素
• 關鍵投資機會
• 生態系測繪
• 市場吸引力指數（2025）
• PESTEL 分析
• 價值鏈分析
• 定價分析
• 案例研究
• 監管環境
• 技術評估

全球銀行業巨量資料分析市場規模（依資料來源及複合年成長率分類）（2026-2033 年）

• 內部數據
• 外部數據

全球銀行業巨量資料分析市場規模（按類型和複合年成長率分類）（2026-2033 年）

• 說明分析
• 預測分析
• 指示性分析

全球銀行業巨量資料分析市場按應用和複合年成長率分類（2026-2033 年）

• 詐欺偵測
• 風險管理
• 客戶區隔
• 行銷最佳化

全球銀行業巨量資料分析市場規模（按部署類型和複合年成長率分類）（2026-2033 年）

• 本地部署
• 雲端基礎的

全球銀行業巨量資料分析市場規模及複合年成長率（2026-2033）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 亞太其他地區
• 拉丁美洲
  • 墨西哥
  • 巴西
  • 其他拉丁美洲地區
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲地區

競爭資訊

• 前五大公司對比
• 主要企業的市場定位（2025 年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市佔率分析（2025 年）
• 主要企業公司簡介
  • 公司詳情
  • 產品系列分析
  • 依業務板塊進行公司股票分析
  • 2023-2025年營收年比比較

主要企業簡介

• 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）

結論與建議

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