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市场调查报告书
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1808816

2025年银行业预测分析全球市场报告

Predictive 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

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简介目录

预计未来几年,银行业预测分析市场将呈指数级成长,到2029年将达到97.3亿美元,复合年增长率为20.4%。预测期内的成长可归因于人工智慧和机器学习、巨量资料和即时分析、监管压力与合规性、客户对个人化的期望以及网路安全和诈欺预防。预测期内的主要趋势包括:透过个人化提升客户体验、将人工智慧和机器学习整合到进阶预测模型中、利用即时预测分析进行即时决策、更加重视网路安全和诈欺预防,以及监管合规性和风险管理。

我们预测未来五年该市场将成长20.4%,较先前预测略有下降0.3%。这一下降主要源自于美国与其他国家之间关税的影响,因为我们的机器学习演算法和客户行为预测平台主要来自中国和芬兰,这些平台需要缴纳专门的硬体关税,从而增加了开发成本。此外,由于互惠关税以及贸易紧张局势和限制加剧对全球经济和贸易的负面影响,影响范围也将更加广泛。

预计诈欺案件的增加将推动银行业预测分析的成长。诈欺是指旨在欺骗或操纵个人或组织以获取个人或经济利益的蓄意计画。在银行业,网路攻击的增加和数位银行服务的扩张导致了诈欺案件的激增。预测分析透过使用先进的演算法即时检测和标记异常模式和行为,有助于应对这些威胁,从而促进主动诈欺侦测和预防。例如,美国联邦贸易委员会在2024年2月报告称,2023年消费者因诈骗造成的损失超过100亿美元,比前一年增加了14%。因此,诈骗的增加正在刺激银行业对预测分析的需求。

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 4 章 - 市场 - 宏观经济情境宏观经济情境包括利率、通货膨胀、地缘政治、贸易战和关税,以及 COVID-19 大流行和復苏对市场的影响。

第五章 全球成长分析与策略分析框架

  • 全球银行业预测分析:PESTEL分析(政治、社会、科技、环境、法律因素、驱动因素与限制因素)
  • 最终用途产业分析
  • 全球银行市场预测分析:成长率分析
  • 全球银行市场预测分析:规模与成长,2019-2024
  • 全球银行市场预测分析:规模与成长,2024-2029 年,2034 年
  • 全球银行业的预测分析:总可寻址市场 (TAM)

第六章市场区隔

  • 全球银行市场预测分析:按类型、实际和预测,2019-2024 年、2024-2029 年、2034 年
  • 行销
  • 销售
  • 金融
  • 人力资源
  • 手术
  • 全球银行市场预测分析:按组成部分、实际情况和预测,2019-2024 年、2024-2029 年、2034 年
  • 解决方案
  • 服务
  • 全球银行市场预测分析(按部署模型、实际情况和预测),2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 全球银行市场预测分析:按应用、实际情况和预测,2019-2024 年、2024-2029 年、2034 年
  • 中小企业(SMES)
  • 大公司
  • 全球银行市场预测分析(按行销细分、类型、实际情况和预测),2019-2024 年、2024-2029 年、2034 年
  • 客户细分与定位
  • 宣传活动管理与最佳化
  • 客户生命週期价值预测
  • 客户流失预测与客户维繫策略
  • 市场趋势分析
  • 品牌情感分析
  • 全球银行市场预测分析、销售细分、按类型、实际和预测,2019-2024 年、2024-2029 年、2034 年
  • 案源计分和机会管理
  • 销售额预测与趋势分析
  • 交叉销售与提升销售策略
  • 优化销售业绩
  • 转换率预测
  • 区域管理
  • 全球银行业预测分析市场(按金融细分、类型、实际情况和预测),2019-2024 年、2024-2029 年、2034 年
  • 信用评分和风险评估
  • 诈欺检测与预防
  • 财务预测与预算
  • 贷款违约预测
  • 资产管理与投资分析
  • 法规合规性分析
  • 全球银行业预测分析市场(按人才细分、类型、实际情况和预测)2019-2024 年、2024-2029 年、2034 年
  • 员工流动预测
  • 人才获取和招募优化
  • 劳动力规划与优化
  • 员工绩效分析
  • 预测学习和发展需求
  • 薪资社会福利分析
  • 全球银行业预测分析市场(按细分、类型、绩效及预测)2019-2024 年、2024-2029 年、2034 年
  • 优化流程效率
  • 预测和控制营运成本
  • 资源分配和调度
  • 交易监控和异常检测
  • 优化供应链管理
  • 自动化操作任务

第七章 区域和国家分析

  • 全球银行市场预测分析:区域分析、绩效及预测,2019-2024 年、2024-2029 年、2034 年
  • 全球银行市场预测分析:国家、现况及预测,2019-2024 年、2024-2029 年、2034 年

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20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30章:竞争格局与公司概况

  • 银行业的预测分析:竞争格局
  • 银行市场的预测分析:公司简介
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • SAS Institute Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章:其他领先和创新企业

  • Turing Analytics
  • Databricks Inc.
  • Alteryx Inc.
  • H2O.ai
  • EdgeVerve Systems Limited
  • Google Cloud
  • Dataiku
  • Datarobot Inc.
  • Feature Labs
  • KNIME
  • Altair Engineering Inc.
  • Rasa
  • Peltarion
  • Auger.AI
  • BigML

第 32 章全球市场竞争基准化分析与仪表板

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年银行业市场预测分析:提供新机会的国家
  • 2029年银行业市场预测分析:细分领域带来新机会
  • 2029年银行业市场预测分析:成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r33865u

Predictive analytics in banking involves using advanced techniques such as statistical analysis, machine learning, and data mining to examine historical and current data in order to forecast future trends and behaviors. This approach helps financial institutions make informed decisions by predicting customer behavior, market conditions, and potential risks.

Key areas of predictive analytics in banking include marketing, sales, finance, human resources, and operations. In marketing, predictive analytics focuses on strategic activities and functions designed to meet customer needs and improve services. This encompasses various solutions and services, with deployment models that include both on-premise and cloud options. Applications of predictive analytics extend to small and medium enterprises (SMEs) as well as large enterprises.

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 sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a considerable impact on the financial sector, particularly in the areas of investment strategies and risk management. The increased tariffs have intensified market volatility, leading institutional investors to adopt more cautious approaches and driving greater demand for hedging solutions. Banks and asset managers are encountering higher costs in cross-border transactions as disrupted global supply chains and declining corporate earnings weigh on equity market performance. At the same time, insurance providers are facing elevated claims risks linked to supply chain interruptions and trade-related business losses. Furthermore, reduced consumer spending and weaker export demand are limiting credit growth and dampening investment appetite. In response to these challenges, the sector must focus on diversification, accelerate digital transformation, and strengthen scenario planning to manage the heightened economic uncertainty and safeguard profitability.

The predictive analytics in banking market research report is one of a series of new reports from The Business Research Company that provides predictive analytics in banking market statistics, including predictive analytics in banking industry global market size, regional shares, competitors with a predictive analytics in banking market share, detailed predictive analytics in banking market segments, market trends, and opportunities, and any further data you may need to thrive in the predictive analytics in banking industry. This predictive 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 predictive analytics in banking market size has grown exponentially in recent years. It will grow from $3.84 billion in 2024 to $4.62 billion in 2025 at a compound annual growth rate (CAGR) of 20.5%. The growth in the historic period can be attributed to credit risk assessment, fraud detection and prevention, customer segmentation and personalization, regulatory compliance and operational efficiency.

The predictive analytics in banking market size is expected to see exponential growth in the next few years. It will grow to $9.73 billion in 2029 at a compound annual growth rate (CAGR) of 20.4%. The growth in the forecast period can be attributed to artificial intelligence and machine learning, big data and real-time analytics, regulatory pressure and compliance, customer expectations for personalization and cybersecurity and fraud prevention. Major trends in the forecast period include enhanced customer experience through personalization, integration of AI and machine learning for advanced predictive models, real-time predictive analytics for instant decision-making, increased focus on cybersecurity and fraud prevention and regulatory compliance and risk management.

The forecast of 20.4% growth over the next five years reflects a modest reduction of 0.3% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US through less accurate forecasting, as machine learning algorithms and customer behavior prediction platforms, primarily sourced from China and Finland, become subject to specialized hardware tariffs that increase development costs. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing prevalence of fraudulent activities is expected to drive the growth of predictive analytics in the banking sector. Fraudulent activities involve deliberate schemes designed to deceive or manipulate individuals or organizations for personal or financial gain. In the banking industry, rising cyberattacks and the expansion of digital banking services are contributing to the surge in fraud. Predictive analytics helps combat these threats by using advanced algorithms to detect and flag unusual patterns and behaviors in real time, facilitating proactive fraud detection and prevention. For example, in February 2024, the Federal Trade Commission reported that consumers lost over $10 billion to fraud in 2023, a 14% increase from the previous year. Thus, the growing incidence of fraudulent activities is fueling the demand for predictive analytics in banking.

Leading companies in the predictive analytics in banking market are developing AI-powered data analytics platforms to enhance data analysis and interpretation, enabling faster insights and more informed decision-making. These platforms utilize advanced data processing, predictive modeling, and pattern recognition to improve risk management, personalize customer experiences, detect fraud, streamline operations, and identify new growth opportunities. For example, in March 2024, TransUnion, a US-based information technology firm, introduced OneTru, an AI-driven data analytics platform designed to advance data access and decision-making for financial institutions. This cloud-based platform integrates data analytics, credit risk assessment, and fraud detection into a single portal, using artificial intelligence and machine learning. OneTru consolidates fragmented data sources, providing streamlined access to credit bureau, consumer identity, and marketing data, thereby enhancing the speed and quality of analytics and improving client decision-making processes.

In August 2024, EXL, a US-based technology and operations management firm, acquired ITI Data for an undisclosed sum. This acquisition strengthens EXL's capabilities in managing large-scale data, improving data integration, and delivering advanced analytics solutions. As a result, EXL can provide its clients with enhanced insights, better decision-making, and more efficient operations. ITI Data, based in the US, specializes in data management and predictive analytics within the banking sector.

Major companies operating in the predictive analytics in banking market are Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, SAS Institute Inc., Turing Analytics, Databricks Inc., Alteryx Inc., H2O.ai, EdgeVerve Systems Limited, Google Cloud, Dataiku, Datarobot Inc., Feature Labs, KNIME, Altair Engineering Inc., Rasa, Peltarion, Auger.AI, BigML, Big Squid Inc, dotData Inc., Determined.ai Inc., Turi

North America was the largest region in the predictive analytics in banking market in 2024. The regions covered in the predictive analytics in banking market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The predictive analytics in banking market consists of revenues earned by entities by providing services such as customer segmentation and profiling, credit risk assessment, and fraud detection and prevention. The market value includes the value of related goods sold by the service provider or included within the service offering. The predictive analytics in banking market also includes sales of workstations, security hardware, and network infrastructure. 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.

Predictive 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 predictive 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

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  • 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 predictive 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 predictive 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 Type: Marketing; Sales; Finance; Human resource; Operations
  • 2) By Component: Solution; Services
  • 3) By Deployment Model: On-Premise; Cloud
  • 4) By Application: Small And Medium Enterprises (SMES); Large Enterprises
  • Subsegments:
  • 1) By Marketing: Customer Segmentation And Targeting; Campaign Management And Optimization; Customer Lifetime Value Prediction; Churn Prediction and Retention Strategies; Market Trend Analysis; Brand Sentiment Analysis
  • 2) By Sales: Lead Scoring and Opportunity Management; Sales Forecasting And Trend Analysis; Cross-Selling And Up-Selling Strategies; Sales Performance Optimization; Conversion Rate Prediction; Territory Management
  • 3) By Finance: Credit Scoring And Risk Assessment; Fraud Detection And Prevention; Financial Forecasting and Budgeting; Loan Default Prediction; Asset Management And Investment Analysis; Regulatory Compliance Analytics
  • 4) By Human Resource: Employee Attrition Prediction; Talent Acquisition And Recruitment Optimization; Workforce Planning And Optimization; Employee Performance Analytics; Learning and Development Needs Prediction; Compensation And Benefits Analysis
  • 5) By Operations: Process Efficiency Optimization; Operational Cost Prediction And Management; Resource Allocation And Scheduling; Transaction Monitoring And Anomaly Detection; Supply Chain Management Optimization; Automation Of Operational Tasks
  • Companies Mentioned:Microsoft Corporation; Amazon Web Services Inc.; International Business Machines Corporation; Oracle Corporation; SAS Institute Inc.; Turing Analytics; Databricks Inc.; Alteryx Inc.; H2O.ai; EdgeVerve Systems Limited; Google Cloud; Dataiku; Datarobot Inc.; Feature Labs; KNIME; Altair Engineering Inc.; Rasa; Peltarion; Auger.AI; BigML; Big Squid Inc; dotData Inc.; Determined.ai Inc.; Turi
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Predictive Analytics in Banking Market Characteristics

3. Predictive Analytics in Banking Market Trends And Strategies

4. Predictive Analytics in Banking Market - Macro Economic Scenario 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 Predictive Analytics in Banking Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Predictive 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 Predictive Analytics in Banking Market Growth Rate Analysis
  • 5.4. Global Predictive Analytics in Banking Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Predictive Analytics in Banking Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Predictive Analytics in Banking Total Addressable Market (TAM)

6. Predictive Analytics in Banking Market Segmentation

  • 6.1. Global Predictive Analytics in Banking Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Marketing
  • Sales
  • Finance
  • Human resource
  • Operations
  • 6.2. Global Predictive Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Solution
  • Services
  • 6.3. Global Predictive Analytics in Banking Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premise
  • Cloud
  • 6.4. Global Predictive Analytics in Banking Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises (SMES)
  • Large Enterprises
  • 6.5. Global Predictive Analytics in Banking Market, Sub-Segmentation Of Marketing, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Customer Segmentation And Targeting
  • Campaign Management And Optimization
  • Customer Lifetime Value Prediction
  • Churn Prediction and Retention Strategies
  • Market Trend Analysis
  • Brand Sentiment Analysis
  • 6.6. Global Predictive Analytics in Banking Market, Sub-Segmentation Of Sales, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Lead Scoring and Opportunity Management
  • Sales Forecasting And Trend Analysis
  • Cross-Selling And Up-Selling Strategies
  • Sales Performance Optimization
  • Conversion Rate Prediction
  • Territory Management
  • 6.7. Global Predictive Analytics in Banking Market, Sub-Segmentation Of Finance, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Credit Scoring And Risk Assessment
  • Fraud Detection And Prevention
  • Financial Forecasting and Budgeting
  • Loan Default Prediction
  • Asset Management And Investment Analysis
  • Regulatory Compliance Analytics
  • 6.8. Global Predictive Analytics in Banking Market, Sub-Segmentation Of Human Resource, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Employee Attrition Prediction
  • Talent Acquisition And Recruitment Optimization
  • Workforce Planning And Optimization
  • Employee Performance Analytics
  • Learning and Development Needs Prediction
  • Compensation And Benefits Analysis
  • 6.9. Global Predictive Analytics in Banking Market, Sub-Segmentation Of Operations, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Process Efficiency Optimization
  • Operational Cost Prediction And Management
  • Resource Allocation And Scheduling
  • Transaction Monitoring And Anomaly Detection
  • Supply Chain Management Optimization
  • Automation Of Operational Tasks

7. Predictive Analytics in Banking Market Regional And Country Analysis

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

8. Asia-Pacific Predictive Analytics in Banking Market

  • 8.1. Asia-Pacific Predictive 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 Predictive Analytics in Banking Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Predictive Analytics in Banking Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Predictive Analytics in Banking Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Predictive Analytics in Banking Market

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

10. India Predictive Analytics in Banking Market

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

11. Japan Predictive Analytics in Banking Market

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

12. Australia Predictive Analytics in Banking Market

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

13. Indonesia Predictive Analytics in Banking Market

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

14. South Korea Predictive Analytics in Banking Market

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

15. Western Europe Predictive Analytics in Banking Market

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

16. UK Predictive Analytics in Banking Market

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

17. Germany Predictive Analytics in Banking Market

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

18. France Predictive Analytics in Banking Market

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

19. Italy Predictive Analytics in Banking Market

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

20. Spain Predictive Analytics in Banking Market

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

21. Eastern Europe Predictive Analytics in Banking Market

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

22. Russia Predictive Analytics in Banking Market

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

23. North America Predictive Analytics in Banking Market

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

24. USA Predictive Analytics in Banking Market

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

25. Canada Predictive Analytics in Banking Market

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

26. South America Predictive Analytics in Banking Market

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

27. Brazil Predictive Analytics in Banking Market

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

28. Middle East Predictive Analytics in Banking Market

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

29. Africa Predictive Analytics in Banking Market

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

30. Predictive Analytics in Banking Market Competitive Landscape And Company Profiles

  • 30.1. Predictive Analytics in Banking Market Competitive Landscape
  • 30.2. Predictive Analytics in Banking Market Company Profiles
    • 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. SAS Institute Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Predictive Analytics in Banking Market Other Major And Innovative Companies

  • 31.1. Turing Analytics
  • 31.2. Databricks Inc.
  • 31.3. Alteryx Inc.
  • 31.4. H2O.ai
  • 31.5. EdgeVerve Systems Limited
  • 31.6. Google Cloud
  • 31.7. Dataiku
  • 31.8. Datarobot Inc.
  • 31.9. Feature Labs
  • 31.10. KNIME
  • 31.11. Altair Engineering Inc.
  • 31.12. Rasa
  • 31.13. Peltarion
  • 31.14. Auger.AI
  • 31.15. BigML

32. Global Predictive Analytics in Banking Market Competitive Benchmarking And Dashboard

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

34. Recent Developments In The Predictive Analytics in Banking Market

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

  • 35.1 Predictive Analytics in Banking Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Predictive Analytics in Banking Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Predictive 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