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市场调查报告书
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1822814

2025年全球金融数据分析市场报告

Data Analytics In Financial 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

预计未来几年金融数据分析市场将快速成长，到2029年将达到281.7亿美元，复合年增长率为15.1%。预计成长将受到以下因素的推动：云端基础的分析技术的扩展、个人化金融服务需求的不断增长、区块链技术的日益普及、行动银行的快速普及、对高级诈欺检测的需求日益增长，以及预测期内对客户体验的日益关注。预测的主要趋势包括量子安全密码学的进步、可解释人工智慧模型的开发、联邦学习系统的创新、合成数据生成的应用以及情感人工智慧在客户分析中的应用。

预计未来几年，金融领域诈骗的增加将推动金融服务数据分析市场的成长。金融诈骗涉及银行、投资和保险系统内的诈欺活动，例如未授权存取资金、资料操纵和交易伪造。这些诈欺活动可以透过数位和传统方式进行，破坏机构诚信并削弱消费者信任。诈欺行为的增加主要是由于银行服务快速数位化而安全性却没有得到加强，从而产生了可供老练的网路犯罪分子利用的漏洞。金融数据分析透过使用高级演算法即时识别可疑模式和异常来打击诈欺。这些工具能够快速侦测诈欺活动，减少财务损失并加强安全措施。此外，它们透过提高合规性和支持更好的决策来增强人们对金融机构的信任。例如，美国联邦贸易委员会（FTC）在2025年3月报告称，2024年38%的诈骗案件将导致财务损失，高于2023年的27%。因此，诈欺发生率的上升正在刺激金融领域数据分析的扩展。

金融数据分析市场的主要企业正在开发创新解决方案，例如基于人工智慧的预测分析平台，以改善即时决策、风险管理和诈欺检测。这些平台结合机器学习演算法、替代资料来源整合和云端基础处理，以分析大量金融资料集，从而实现高度精准的市场趋势预测、诈欺侦测和投资策略最佳化。例如，2025年7月，美国人工智慧研究公司Anthropic PBC推出了“金融服务领域的Claude”，这是一个企业级语言模型，具有结构化的人工智慧保护措施，旨在防止有害输出，同时提供准确的财务分析。该产品解决了银行和投资领域的关键合规挑战，与传统的大规模语言模型（LLM）相比，将人工智慧幻觉的风险降低了80%。

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、通膨、地缘政治、贸易战和关税，以及新冠疫情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

  • 全球金融数据分析：PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素与限制因素）
  • 最终用途产业分析
  • 全球金融数据分析市场：成长率分析
  • 全球金融数据分析市场表现：规模与成长，2019-2024
  • 全球金融资料分析市场预测：规模与成长，2024-2029 年，2034 年
  • 全球金融数据分析：总可寻址市场（TAM）

第六章 市场细分

  • 全球金融资料分析市场：依组件类型、实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 软体
  • 服务
  • 全球金融资料分析市场（依公司规模、实际状况及预测），2019-2024 年、2024-2029 年、2034 年
  • 小型企业
  • 大公司
  • 全球金融数据分析市场（按部署模式、实际情况和预测），2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 云
  • 全球金融数据分析市场：按应用、实际情况和预测，2019-2024 年、2024-2029 年、2034 年
  • 风险管理
  • 诈欺检测与预防
  • 客户管理
  • 合规性和安全控制
  • 其他用途
  • 全球金融数据分析市场：按最终用户、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 银行业
  • 保险
  • 投资管理
  • 其他最终用户
  • 全球金融资料分析市场：依软体类型细分，实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 资料管理工具
  • 分析和商业智慧平台
  • 风险分析软体
  • 报告和视觉化工具
  • 预测分析工具
  • 财务建模软体
  • 人工智慧（AI）和机器学习平台
  • 合规与监理报告软体
  • 投资组合分析解决方案
  • 基于应用程式介面（API）的资料平台
  • 全球金融资料分析市场：按服务类型、实际和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 託管服务
  • 咨询和顾问服务
  • 资料整合与实施服务
  • 支援和维护服务
  • 客製化分析开发
  • 培训和教育服务
  • 云端迁移和采用服务

第七章 区域和国家分析

  • 全球金融资料分析市场：按地区、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球金融资料分析市场：依国家划分、实际状况及预测，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18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

  • 金融数据分析：竞争格局
  • 金融市场数据分析：公司简介
    • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • The Bank of New York Mellon Corporation Overview, Products and Services, Strategy and Financial Analysis
    • S&P Global Inc. Overview, Products and Services, Strategy and Financial Analysis
    • London Stock Exchange Group plc Overview, Products and Services, Strategy and Financial Analysis
    • Intercontinental Exchange Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Nasdaq Inc.
  • LexisNexis Risk Solutions Inc.
  • Dun & Bradstreet Holdings Inc.
  • Morningstar Inc.
  • FactSet Research Systems Inc.
  • EXL Service Holdings Inc.
  • Moody's Investors Service Inc.
  • Bloomberg Finance LP
  • QlikTech International AB
  • Clearwater Analytics Holdings Inc.
  • Sisense Ltd.
  • Board International SA
  • Macrobond Financial AB
  • AlphaSense Inc.
  • QuantConnect LLC

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年金融市场数据分析：提供新机会的国家
  • 2029年金融市场数据分析：细分领域带来新机会
  • 2029年金融数据分析市场：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: r37322

Data analytics in finance involves the application of advanced analytical tools and techniques-such as statistical models, machine learning, and data mining-to examine financial data and support better decision-making. Its primary goals are to identify trends, evaluate risks, optimize investment strategies, and enhance overall financial performance and forecasting.

The main components of financial data analytics include software and services. Software encompasses advanced computational tools and methods used to collect, process, and analyze financial data for improved decision-making, risk management, compliance, and strategic planning. These solutions are utilized by organizations of various sizes, including small and medium-sized enterprises (SMEs) and large corporations, and are implemented via different deployment models such as on-premises and cloud-based platforms. Data analytics is applied across multiple areas, including risk management, fraud detection and prevention, customer management, compliance and security management, among others. Key end-users span sectors such as banking, insurance, investment management, and others.

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

The data analytics in financial market size has grown rapidly in recent years. It will grow from $13.89 billion in 2024 to $16.05 billion in 2025 at a compound annual growth rate (CAGR) of 15.5%. The growth during the historic period can be attributed to increasing regulatory requirements, the rise of digital banking, the expansion of big data, growing demand for real-time decision-making, and the emergence of fintech companies.

The data analytics in financial market size is expected to see rapid growth in the next few years. It will grow to $28.17 billion in 2029 at a compound annual growth rate (CAGR) of 15.1%. In the forecast period, growth is expected to be driven by the expansion of cloud-based analytics, rising demand for personalized financial services, increased adoption of blockchain technology, a surge in mobile banking usage, heightened need for advanced fraud detection, and a stronger focus on customer experience. Key trends anticipated include advancements in quantum-safe cryptography, development of explainable AI models, innovations in federated learning systems, adoption of synthetic data generation, and the use of emotion AI for customer analytics.

The rising number of fraud cases in the finance sector is expected to drive growth in the data analytics market for financial services in the coming years. Financial fraud involves deceptive activities such as unauthorized access to funds, data manipulation, or falsification of transactions within banking, investment, or insurance systems. These fraudulent acts can occur through both digital and traditional methods, undermining institutional integrity and eroding consumer trust. The increase in fraud is largely due to the rapid digitization of banking services without equivalent enhancements in security, creating vulnerabilities that sophisticated cybercriminals exploit. Data analytics in finance combats fraud by using advanced algorithms to identify suspicious patterns and anomalies in real time. These tools enable quicker detection of fraudulent activities, reducing financial losses and strengthening security measures. Additionally, they improve compliance and support better decision-making, thereby reinforcing trust in financial institutions. For example, in March 2025, the US Federal Trade Commission (FTC) reported that 38% of fraud cases involved financial loss in 2024, up from 27% in 2023. Consequently, the increasing incidence of fraud is fueling the expansion of data analytics in the financial sector.

Leading companies in the financial data analytics market are developing innovative solutions such as AI-powered predictive analytics platforms to improve real-time decision-making, risk management, and fraud detection. These platforms combine machine learning algorithms, integration of alternative data sources, and cloud-based processing to analyze vast financial datasets for forecasting market trends, detecting irregularities, and optimizing investment strategies with high accuracy. For instance, in July 2025, Anthropic PBC, a US-based AI research company, launched Claude for Financial Services-an enterprise-grade language model featuring constitutional AI safeguards designed to prevent harmful outputs while delivering precise financial analysis. This product addresses critical compliance challenges within banking and investment sectors and reduces the risk of AI hallucinations by 80% compared to traditional large language models (LLMs).

In May 2024, S&P Global Inc., a US-based financial information and analytics provider, acquired Visible Alpha LLC for an undisclosed sum. This acquisition is intended to enhance S&P Global's investment research capabilities by integrating Visible Alpha's detailed consensus data and analytics tools into its platforms, thereby increasing value for institutional investors. Visible Alpha LLC is a US-based company specializing in financial data analytics and investment research tools.

Major players in the data analytics in financial market are International Business Machines Corporation, The Bank of New York Mellon Corporation, S&P Global Inc., London Stock Exchange Group plc, Intercontinental Exchange Inc., Nasdaq Inc., LexisNexis Risk Solutions Inc., Dun & Bradstreet Holdings Inc., Morningstar Inc., FactSet Research Systems Inc., EXL Service Holdings Inc., Moody's Investors Service Inc., Bloomberg Finance L.P., QlikTech International AB, Clearwater Analytics Holdings Inc., Sisense Ltd., Board International SA, Macrobond Financial AB, AlphaSense Inc., and QuantConnect LLC.

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

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

The data analytics in financial market consist of revenues earned by entities by providing services such as portfolio optimization,sentiment analysis, trade surveillance, financial forecasting, and liquidity analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. Data analytics in financial market also includes sales of data visualization tools, alternative data feeds, predictive analytics models, risk scoring systems, and real-time analytics dashboards. 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.

Data Analytics In Financial 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 data analytics in financial 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 data analytics in financial ? 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 data analytics in financial 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 Type: Software; Services
  • 2) By Enterprise Size Type: Small And Medium Enterprises; Large Enterprises
  • 3) By Deployment Mode Type: On-Premises; Cloud
  • 4) By Application: Risk Management; Fraud Detection And Prevention; Customer Management; Compliance And Security Management; Other Applications
  • 5) By End-User: Banking; Insurance; Investment Management; Other End Users
  • Subsegments:
  • 1) By Software: Data Management Tools; Analytics And Business Intelligence Platforms; Risk Analytics Software; Reporting And Visualization Tools; Predictive Analytics Tools; Financial Modeling Software; Artificial Intelligence (AI) And Machine Learning Platforms; Compliance And Regulatory Reporting Software; Portfolio Analytics Solutions; Application Programming Interface (API)-Based Data Platforms
  • 2) By Services: Managed Services; Consulting And Advisory Services; Data Integration And Implementation Services; Support And Maintenance Services; Custom Analytics Development; Training And Education Services; Cloud Migration And Deployment Services
  • Companies Mentioned: International Business Machines Corporation; The Bank of New York Mellon Corporation; S&P Global Inc.; London Stock Exchange Group plc; Intercontinental Exchange Inc.; Nasdaq Inc.; LexisNexis Risk Solutions Inc.; Dun & Bradstreet Holdings Inc.; Morningstar Inc.; FactSet Research Systems Inc.; EXL Service Holdings Inc.; Moody's Investors Service Inc.; Bloomberg Finance L.P.; QlikTech International AB; Clearwater Analytics Holdings Inc.; Sisense Ltd.; Board International SA; Macrobond Financial AB; AlphaSense Inc.; QuantConnect LLC.
  • 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. Data Analytics In Financial Market Characteristics

3. Data Analytics In Financial Market Trends And Strategies

4. Data Analytics In Financial 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 Data Analytics In Financial Growth Analysis And Strategic Analysis Framework

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

6. Data Analytics In Financial Market Segmentation

  • 6.1. Global Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • 6.2. Global Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises
  • Large Enterprises
  • 6.3. Global Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • 6.4. Global Data Analytics In Financial Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Risk Management
  • Fraud Detection And Prevention
  • Customer Management
  • Compliance And Security Management
  • Other Applications
  • 6.5. Global Data Analytics In Financial Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking
  • Insurance
  • Investment Management
  • Other End Users
  • 6.6. Global Data Analytics In Financial Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Management Tools
  • Analytics And Business Intelligence Platforms
  • Risk Analytics Software
  • Reporting and Visualization Tools
  • Predictive Analytics Tools
  • Financial Modeling Software
  • Artificial intelligence (AI) And Machine Learning Platforms
  • Compliance And Regulatory Reporting Software
  • Portfolio Analytics Solutions
  • Application Programming Interface (API)-Based Data Platforms
  • 6.7. Global Data Analytics In Financial Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Managed Services
  • Consulting And Advisory Services
  • Data Integration And Implementation Services
  • Support And Maintenance Services
  • Custom Analytics Development
  • Training And Education Services
  • Cloud Migration And Deployment Services

7. Data Analytics In Financial Market Regional And Country Analysis

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

8. Asia-Pacific Data Analytics In Financial Market

  • 8.1. Asia-Pacific Data Analytics In Financial 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 Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Data Analytics In Financial Market

  • 9.1. China Data Analytics In Financial Market Overview
  • 9.2. China Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Data Analytics In Financial Market

  • 10.1. India Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Data Analytics In Financial Market

  • 11.1. Japan Data Analytics In Financial Market Overview
  • 11.2. Japan Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Data Analytics In Financial Market

  • 12.1. Australia Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Data Analytics In Financial Market

  • 13.1. Indonesia Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Data Analytics In Financial Market

  • 14.1. South Korea Data Analytics In Financial Market Overview
  • 14.2. South Korea Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Data Analytics In Financial Market

  • 15.1. Western Europe Data Analytics In Financial Market Overview
  • 15.2. Western Europe Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Data Analytics In Financial Market

  • 16.1. UK Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Data Analytics In Financial Market

  • 17.1. Germany Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Data Analytics In Financial Market

  • 18.1. France Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Data Analytics In Financial Market

  • 19.1. Italy Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Data Analytics In Financial Market

  • 20.1. Spain Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Data Analytics In Financial Market

  • 21.1. Eastern Europe Data Analytics In Financial Market Overview
  • 21.2. Eastern Europe Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Data Analytics In Financial Market

  • 22.1. Russia Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Data Analytics In Financial Market

  • 23.1. North America Data Analytics In Financial Market Overview
  • 23.2. North America Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Data Analytics In Financial Market

  • 24.1. USA Data Analytics In Financial Market Overview
  • 24.2. USA Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Data Analytics In Financial Market

  • 25.1. Canada Data Analytics In Financial Market Overview
  • 25.2. Canada Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Data Analytics In Financial Market

  • 26.1. South America Data Analytics In Financial Market Overview
  • 26.2. South America Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Data Analytics In Financial Market

  • 27.1. Brazil Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Data Analytics In Financial Market

  • 28.1. Middle East Data Analytics In Financial Market Overview
  • 28.2. Middle East Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Data Analytics In Financial Market

  • 29.1. Africa Data Analytics In Financial Market Overview
  • 29.2. Africa Data Analytics In Financial Market, Segmentation By Component Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Data Analytics In Financial Market, Segmentation By Enterprise Size Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Data Analytics In Financial Market, Segmentation By Deployment Mode Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Data Analytics In Financial Market Competitive Landscape And Company Profiles

  • 30.1. Data Analytics In Financial Market Competitive Landscape
  • 30.2. Data Analytics In Financial Market Company Profiles
    • 30.2.1. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. The Bank of New York Mellon Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. S&P Global Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. London Stock Exchange Group plc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Intercontinental Exchange Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Data Analytics In Financial Market Other Major And Innovative Companies

  • 31.1. Nasdaq Inc.
  • 31.2. LexisNexis Risk Solutions Inc.
  • 31.3. Dun & Bradstreet Holdings Inc.
  • 31.4. Morningstar Inc.
  • 31.5. FactSet Research Systems Inc.
  • 31.6. EXL Service Holdings Inc.
  • 31.7. Moody's Investors Service Inc.
  • 31.8. Bloomberg Finance L.P.
  • 31.9. QlikTech International AB
  • 31.10. Clearwater Analytics Holdings Inc.
  • 31.11. Sisense Ltd.
  • 31.12. Board International SA
  • 31.13. Macrobond Financial AB
  • 31.14. AlphaSense Inc.
  • 31.15. QuantConnect LLC

32. Global Data Analytics In Financial Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Data Analytics In Financial Market

34. Recent Developments In The Data Analytics In Financial Market

35. Data Analytics In Financial Market High Potential Countries, Segments and Strategies

  • 35.1 Data Analytics In Financial Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Data Analytics In Financial Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Data Analytics In Financial 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