查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1849555

2025年全球金融领域生成式AI（AI）市场报告

Generative Artificial Intelligence (AI) In Finance Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，金融领域生成式AI（AI）的市场规模迅速扩张，从2024年的20.5亿美元成长到2025年的28.2亿美元，复合年增长率达37.6%。这段历史性成长时期主要受以下因素驱动：服务数位化、个人化客户互动日益增加、对金融服务安全性和信任度的需求不断增长、资料隐私和安全问题，以及监管合规和管治。

预计未来几年，金融领域的生成式AI(AI) 市场将呈指数级增长，到 2029 年市场规模将达到 101 亿美元，复合年增长率 (CAGR) 为 37.6%。预测期内的成长可归因于生产力的提高、生成式人工智慧 (AI) 在诈欺检测和预防方面的应用、利用先进的生成式人工智慧实现复杂金融任务的自动化、改善金融领域的客户体验以及营运效率的提升和成本的降低。预测期内的关键趋势包括创新解决方案的开发、数据分析和彙报、人工智慧驱动的聊天机器人、机器学习 (ML) 的整合以及人工智慧工具的创新。

金融领域的生成式AI（AI）是指利用先进演算法和机器学习技术产生新数据、新洞察或金融模式的AI系统。这些系统可以产生合成金融数据、模拟市场情景、制定交易策略并创建预测分析。透过处理和分析大量金融讯息，金融领域的生成式人工智慧能够以创新解决方案增强决策能力、优化投资策略并改善风险管理。

金融领域生成式人工智慧的关键技术包括深度学习、自然语言处理、电脑视觉和强化学习。深度学习是机器学习的一个分支，它利用多层神经网路对海量资料集中的复杂模式进行建模，类似于人脑处理资讯的方式。这些技术可以透过多种部署模型来实现，包括云端、本地部署和混合部署。其应用领域包括风险管理、诈欺侦测、投资研究和交易演算法。

美国在2025年春季突然提高关税及其引发的贸易摩擦，对资讯科技产业，特别是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税上涨，推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司，面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

本研究报告是商业研究公司（The Business Research Company）最新系列报告的一部分，该系列报告提供金融领域生成式AI（AI）市场统计数据，例如全球市场规模、区域份额、金融领域生成式AI生成式AI（AI）市场份额的竞争对手、详细的金融领域生成式AI（AI）市场细分、市场趋势和商业机会，为您提供在金融领域生成式AI（AI）行业取得成功所需的资料。这份金融领域生成式AI（AI）研究报告全面概​​述了您所需的一切信息，并对该行业的现状和未来发展趋势进行了详细分析。

未来五年37.6%的成长率预测较我们先前对该市场的预测略微下调了0.5%。这一下调主要归因于美国与其他国家之间的关税影响。关税可能透过增加资料基础设施（例如高效能运算伺服器和GPU）的成本（这些设备主要从台湾和韩国等国家进口），间接阻碍美国金融机构使用生成式人工智慧。这会增加金融建模和即时诈欺侦测的营运成本。此外，由于相互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，这种影响也将更加广泛。

对个人化金融服务的需求预计将推动金融市场中生成式人工智慧 (AI) 的发展。个人化金融服务是指根据每位客户的特定需求、偏好和情况，量身订做解决方案和建议。这种需求源自于消费者对更佳财务管理和更强风险管理能力的期望。生成式人工智慧整合了来自社交媒体、交易记录和金融帐户等各种来源的数据，从而提供更全面、更个人化的客户财务状况视图。例如，MX Technologies 于 2024 年 5 月对美国和加拿大金融服务业的 150 位领导者和决策者进行的一项调查发现，81% 的数据策略领导者认为，基于消费者财务数据的个人化体验在未来至关重要。此外，45% 的消费者认为他们与金融类行动应用程式的互动是个人化的，36% 的消费者更倾向于安全地共用所有帐户的财务数据，并在一个平台上获得个人化的指导和见解。因此，对个人化金融服务日益增长的需求是推动金融领域生成式人工智慧市场发展的关键因素。

金融领域的生成式AI(AI) 市场由营业单位透过演算法交易、诈欺侦测和管理等服务所获得的收入所构成。市场价值还包括服务提供者销售的或包含在其服务产品中的相关产品的价值。金融领域的生成式AI(AI) 市场还包括自动化工具、风险管理工具和客户关係管理工具的销售。此市场的价值为「出厂价」：即商品製造商或创造者销售给其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接销售给最终客户的商品价值。该市场中的商品价值还包括商品创造者销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

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

第五章 全球成长分析与策略分析框架

  • 全球金融领域的生成式AI（AI）：PESTEL 分析（政治、社会、科技、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球金融领域生成式AI（AI）市场：成长率分析
  • 全球金融领域生成式AI（AI）市场表现：规模与成长，2019-2024年
  • 全球金融领域生成式AI（AI）市场：规模与成长，2024-2029年及2034年预测
  • 全球金融领域的生成式AI（AI）：潜在市场规模（TAM）

第六章 市场细分

  • 全球金融领域生成式AI（AI）市场：依技术、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 深度学习技术
  • 自然语言处理技术
  • 电脑视觉技术
  • 强化学习技术
  • 其他技术
  • 全球金融领域生成式AI（AI）市场：按部署模式分類的实际结果和预测（2019-2024年、2024-2029年预测、2034年预测）
  • 云端部署
  • 本地部署
  • 混合部署
  • 全球金融领域生成式AI（AI）市场：按应用、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 风险管理
  • 诈欺侦测
  • 投资研究
  • 交易演算法
  • 其他用途
  • 全球金融领域生成式AI（AI）市场：依深度学习技术（类型）细分、效能及预测，2019-2024年、2024-2029年预测、2034年预测
  • 诈欺检测与预防
  • 演算法交易
  • 信用评分和风险评估
  • 投资预测分析
  • 全球金融领域生成式AI（AI）市场：按自然语言处理（NLP）技术（类型）细分、效能及预测，2019-2024年、2024-2029年预测、2034年预测
  • 金融市场情绪分析
  • 聊天机器人和虚拟助手
  • 文件和合约分析
  • 客户服务中的语音辨识
  • 全球金融领域生成式AI（AI）市场：依电脑视觉技术（类型）细分、效能及预测，2019-2024年、2024-2029年预测、2034年预测
  • 基于图像的诈骗侦测
  • 从文件中资料提取
  • 用于安防监控的视讯分析
  • 自动化财务文件处理
  • 全球金融领域生成式AI（AI）市场：依强化学习技术（类型）细分、绩效及预测，2019-2024年、2024-2029年预测、2034年预测
  • 投资组合管理与最佳化
  • 交易策略制定
  • 交易风险管理
  • 个人化财务咨询服务
  • 全球金融领域生成式AI（AI）市场：依技术类型细分，实际值与预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 混合人工智慧模型（多种人工智慧技术的组合）
  • 区块链和加密货币分析的人工智慧
  • 基于人工智慧的金融数据分析平台

第七章 区域和国家分析

  • 全球金融领域生成式AI（AI）市场：区域分析、预测及成长，2019-2024年、2024-2029年预测、2034年预测
  • 全球金融领域生成式AI（AI）市场：国家/地区、绩效及预测，2019-2024年、2024-2029年预测、2034年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 金融领域的生成式AI（AI）：竞争格局
  • 金融领域生成式AI（AI）市场：公司概况
    • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • The Allstate Corporation Overview, Products and Services, Strategy and Financial Analysis
    • The Goldman Sachs Group Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Mastercard Incorporated Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Intuit Inc.
  • S&P Global Inc.
  • Plaid Inc.
  • SAS Institute Inc.
  • Klarna Inc.
  • Qlik Technologies Inc.
  • C3.ai Inc.
  • AlphaSense Inc.
  • Marqeta Inc.
  • Upstart Holdings Inc.
  • Hugging Face Inc.
  • ZestFinance Inc.
  • TrueLayer Limited
  • Featurespace Limited
  • Numerai Inc.

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年金融市场中的生成式AI（AI）：提供新机会的国家
  • 2029年金融市场中的生成式AI（AI）：提供新机会的细分领域
  • 2029年金融领域生成式AI（AI）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: r33736u

Generative artificial intelligence (AI) in finance involves AI systems that utilize advanced algorithms and machine learning techniques to produce new data, insights, or financial models. These systems are capable of generating synthetic financial data, simulating market scenarios, developing trading strategies, and producing predictive analytics. By processing and analyzing large volumes of financial information, generative AI in finance enhances decision-making, refines investment strategies, and improves risk management with innovative solutions.

The primary technologies in generative AI for finance include deep learning, natural language processing, computer vision, reinforcement learning, and others. Deep learning, a subset of machine learning, employs neural networks with multiple layers to model complex patterns in extensive datasets, similar to how the human brain processes information. These technologies are implemented through various deployment models such as cloud, on-premises, and hybrid setups. They find applications in areas such as risk management, fraud detection, investment research, and trading algorithms.

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 significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The generative artificial intelligence (AI) in finance market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence (AI) in finance market statistics, including generative artificial intelligence (AI) in finance industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in finance market share, detailed generative artificial intelligence (AI) in finance market segments, market trends, and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in finance industry. This generative artificial intelligence (AI) in finance 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 generative artificial intelligence (ai) in finance market size has grown exponentially in recent years. It will grow from $2.05 billion in 2024 to $2.82 billion in 2025 at a compound annual growth rate (CAGR) of 37.6%. The growth in the historic period can be attributed to digitalization of services, rise in personalized customer responses, rising need for enhancing security and trust in financial services, data privacy and security concerns, and regulatory compliance and governance.

The generative artificial intelligence (ai) in finance market size is expected to see exponential growth in the next few years. It will grow to $10.1 billion in 2029 at a compound annual growth rate (CAGR) of 37.6%. The growth in the forecast period can be attributed to increasing productivity, the application of generative artificial intelligence (AI) in fraud detection and prevention, automation of complex financial tasks through advanced generative artificial intelligence (AI), enhancing customer experience in finance, and operational efficiency and reducing costs. Major trends in the forecast period include developing innovative solutions, data analysis and reporting, artificial intelligence (AI)-driven chatbots, integrating machine learning (ML), and innovations in artificial intelligence tools.

The forecast of 37.6% growth over the next five years reflects a modest reduction of 0.5% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariffs could indirectly hamper U.S. financial institutions using generative AI by increasing the cost of data infrastructure, such as high-performance computing servers and GPUs, which are primarily imported from countries like Taiwan and South Korea. This would raise operational costs for financial modeling and real-time fraud detection. 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 demand for personalized financial services is anticipated to drive the growth of generative artificial intelligence (AI) in the finance market. Personalized financial services involve creating customized solutions and advice tailored to each client's specific needs, preferences, and circumstances. This demand arises from consumer expectations for better financial management and enhanced risk management. Generative AI combines data from various sources, such as social media, transaction histories, and financial accounts, to provide a more comprehensive and personalized view of a client's financial situation. For example, a May 2024 survey by MX Technologies, which surveyed 150 financial services industry leaders and decision-makers in the U.S. and Canada, found that 81% of data strategy leaders view personalizing experiences based on consumer financial data as crucial for the future. Additionally, 45% of consumers felt that their interactions with finance-related mobile apps were personalized, and 36% preferred to securely share their financial data from all their accounts to receive personalized guidance and insights in one place. Thus, the growing demand for personalized financial services is a key driver of the generative AI market in finance.

Major companies in the generative artificial intelligence (AI) in finance market are focused on developing innovative solutions, such as responsible generative AI, to help banks boost productivity and profitability while adhering to ethical AI practices. Responsible generative AI solutions are designed to ensure the safe and ethical deployment of AI technologies, particularly in critical areas. For example, in May 2024, Temenos AG, a Switzerland-based software company, introduced the first Responsible Generative AI solutions specifically for the core banking and financial sectors. These generative AI capabilities can be used in customer operations and product development, allowing banks to create real-time products based on customer preferences. Temenos Generative AI enables users to perform natural language queries to quickly generate unique insights and reports, significantly speeding up access to crucial data for business stakeholders. For instance, it provides immediate and accessible responses regarding the most profitable customers based on type and demographics.

In July 2024, Nubank, a Brazil-based neobank, acquired Hyperplane for an undisclosed amount. This acquisition is intended to enhance the personalization of financial products and improve decision-making in areas such as risk assessment and marketing. Hyperplane, a US-based data intelligence company, specializes in advancing banking and financial services through sophisticated generative AI technologies.

Major companies operating in the generative artificial intelligence (AI) in finance market are Alphabet Inc., International Business Machines Corporation, The Allstate Corporation, The Goldman Sachs Group Inc. , Mastercard Incorporated, Intuit Inc., S&P Global Inc., Plaid Inc., SAS Institute Inc., Klarna Inc., Qlik Technologies Inc., C3.ai Inc., AlphaSense Inc., Marqeta Inc., Upstart Holdings Inc., Hugging Face Inc., ZestFinance Inc., TrueLayer Limited, Featurespace Limited, Numerai Inc.

North America was the largest region in the generative artificial intelligence (AI) in finance market in 2024. Asia-Pacific is expected to be the fastest growing region in the market going forward. The regions covered in the generative artificial intelligence (AI) in finance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative artificial intelligence (AI) in finance market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative artificial intelligence (AI) in finance market consists of revenue earned by entities by services such as algorithmic trading, fraud detection, and management. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in finance market also includes sales of automated tools, risk management tools, and customer relationship tools. 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.

Generative Artificial Intelligence (AI) In Finance 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 generative artificial intelligence (ai) in finance 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 generative artificial intelligence (ai) in finance ? 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 generative artificial intelligence (ai) in finance 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 Technology: Deep Learning Technology; Natural Language Processing Technology; Computer Vision Technology; Reinforcement Learning Technology; Other Technologies
  • 2) By Deployment Model: Cloud Deployment; On-Premises Deployment; Hybrid Deployment
  • 3) By Application: Risk Management; Fraud Detection; Investment Research; Trading Algorithms; Other Applications
  • Subsegments:
  • 1) By Deep Learning Technology: Fraud Detection And Prevention; Algorithmic Trading; Credit Scoring And Risk Assessment; Predictive Analytics For Investment
  • 2) By Natural Language Processing (NLP) Technology: Sentiment Analysis For Financial Markets; Chatbots And Virtual Assistants; Document And Contract Analysis; Speech Recognition For Customer Service
  • 3) By Computer Vision Technology: Image-Based Fraud Detection; Visual Data Extraction From Documents; Video Analytics For Security And Surveillance; Automated Financial Document Processing
  • 4) By Reinforcement Learning Technology: Portfolio Management And Optimization; Trading Strategy Development; Risk Management In Trading; Personalized Financial Advisory Services
  • 5) By Other Technologies: Hybrid AI Models (Combination Of Multiple AI Techniques); AI For Blockchain And Cryptocurrency Analysis; AI-Based Financial Data Analytics Platforms
  • Companies Mentioned: Alphabet Inc.; International Business Machines Corporation; The Allstate Corporation; The Goldman Sachs Group Inc. ; Mastercard Incorporated; Intuit Inc.; S&P Global Inc.; Plaid Inc.; SAS Institute Inc.; Klarna Inc.; Qlik Technologies Inc.; C3.ai Inc.; AlphaSense Inc.; Marqeta Inc.; Upstart Holdings Inc.; Hugging Face Inc.; ZestFinance Inc.; TrueLayer Limited; Featurespace Limited; Numerai Inc.
  • 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. Generative Artificial Intelligence (AI) In Finance Market Characteristics

3. Generative Artificial Intelligence (AI) In Finance Market Trends And Strategies

4. Generative Artificial Intelligence (AI) In Finance 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 Generative Artificial Intelligence (AI) In Finance Growth Analysis And Strategic Analysis Framework

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

6. Generative Artificial Intelligence (AI) In Finance Market Segmentation

  • 6.1. Global Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Deep Learning Technology
  • Natural Language Processing Technology
  • Computer Vision Technology
  • Reinforcement Learning Technology
  • Other Technologies
  • 6.2. Global Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud Deployment
  • On-Premises Deployment
  • Hybrid Deployment
  • 6.3. Global Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Risk Management
  • Fraud Detection
  • Investment Research
  • Trading Algorithms
  • Other Applications
  • 6.4. Global Generative Artificial Intelligence (AI) In Finance Market, Sub-Segmentation Of Deep Learning Technology, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Fraud Detection And Prevention
  • Algorithmic Trading
  • Credit Scoring And Risk Assessment
  • Predictive Analytics For Investment
  • 6.5. Global Generative Artificial Intelligence (AI) In Finance Market, Sub-Segmentation Of Natural Language Processing (NLP) Technology, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Sentiment Analysis For Financial Markets
  • Chatbots And Virtual Assistants
  • Document And Contract Analysis
  • Speech Recognition For Customer Service
  • 6.6. Global Generative Artificial Intelligence (AI) In Finance Market, Sub-Segmentation Of Computer Vision Technology, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Image-Based Fraud Detection
  • Visual Data Extraction From Documents
  • Video Analytics For Security And Surveillance
  • Automated Financial Document Processing
  • 6.7. Global Generative Artificial Intelligence (AI) In Finance Market, Sub-Segmentation Of Reinforcement Learning Technology, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Portfolio Management And Optimization
  • Trading Strategy Development
  • Risk Management In Trading
  • Personalized Financial Advisory Services
  • 6.8. Global Generative Artificial Intelligence (AI) In Finance Market, Sub-Segmentation Of Other Technologies, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hybrid AI Models (Combination Of Multiple AI Techniques)
  • AI For Blockchain And Cryptocurrency Analysis
  • AI-Based Financial Data Analytics Platforms

7. Generative Artificial Intelligence (AI) In Finance Market Regional And Country Analysis

  • 7.1. Global Generative Artificial Intelligence (AI) In Finance Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Generative Artificial Intelligence (AI) In Finance Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Generative Artificial Intelligence (AI) In Finance Market

  • 8.1. Asia-Pacific Generative Artificial Intelligence (AI) In Finance 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 Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Generative Artificial Intelligence (AI) In Finance Market

  • 9.1. China Generative Artificial Intelligence (AI) In Finance Market Overview
  • 9.2. China Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Generative Artificial Intelligence (AI) In Finance Market

  • 10.1. India Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Generative Artificial Intelligence (AI) In Finance Market

  • 11.1. Japan Generative Artificial Intelligence (AI) In Finance Market Overview
  • 11.2. Japan Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Generative Artificial Intelligence (AI) In Finance Market

  • 12.1. Australia Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Generative Artificial Intelligence (AI) In Finance Market

  • 13.1. Indonesia Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Generative Artificial Intelligence (AI) In Finance Market

  • 14.1. South Korea Generative Artificial Intelligence (AI) In Finance Market Overview
  • 14.2. South Korea Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Generative Artificial Intelligence (AI) In Finance Market

  • 15.1. Western Europe Generative Artificial Intelligence (AI) In Finance Market Overview
  • 15.2. Western Europe Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Generative Artificial Intelligence (AI) In Finance Market

  • 16.1. UK Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Generative Artificial Intelligence (AI) In Finance Market

  • 17.1. Germany Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Generative Artificial Intelligence (AI) In Finance Market

  • 18.1. France Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Generative Artificial Intelligence (AI) In Finance Market

  • 19.1. Italy Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Generative Artificial Intelligence (AI) In Finance Market

  • 20.1. Spain Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Generative Artificial Intelligence (AI) In Finance Market

  • 21.1. Eastern Europe Generative Artificial Intelligence (AI) In Finance Market Overview
  • 21.2. Eastern Europe Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Generative Artificial Intelligence (AI) In Finance Market

  • 22.1. Russia Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Generative Artificial Intelligence (AI) In Finance Market

  • 23.1. North America Generative Artificial Intelligence (AI) In Finance Market Overview
  • 23.2. North America Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Generative Artificial Intelligence (AI) In Finance Market

  • 24.1. USA Generative Artificial Intelligence (AI) In Finance Market Overview
  • 24.2. USA Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Generative Artificial Intelligence (AI) In Finance Market

  • 25.1. Canada Generative Artificial Intelligence (AI) In Finance Market Overview
  • 25.2. Canada Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Generative Artificial Intelligence (AI) In Finance Market

  • 26.1. South America Generative Artificial Intelligence (AI) In Finance Market Overview
  • 26.2. South America Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Generative Artificial Intelligence (AI) In Finance Market

  • 27.1. Brazil Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Generative Artificial Intelligence (AI) In Finance Market

  • 28.1. Middle East Generative Artificial Intelligence (AI) In Finance Market Overview
  • 28.2. Middle East Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Generative Artificial Intelligence (AI) In Finance Market

  • 29.1. Africa Generative Artificial Intelligence (AI) In Finance Market Overview
  • 29.2. Africa Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Generative Artificial Intelligence (AI) In Finance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Generative Artificial Intelligence (AI) In Finance Market Competitive Landscape And Company Profiles

  • 30.1. Generative Artificial Intelligence (AI) In Finance Market Competitive Landscape
  • 30.2. Generative Artificial Intelligence (AI) In Finance Market Company Profiles
    • 30.2.1. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. The Allstate Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. The Goldman Sachs Group Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Mastercard Incorporated Overview, Products and Services, Strategy and Financial Analysis

31. Generative Artificial Intelligence (AI) In Finance Market Other Major And Innovative Companies

  • 31.1. Intuit Inc.
  • 31.2. S&P Global Inc.
  • 31.3. Plaid Inc.
  • 31.4. SAS Institute Inc.
  • 31.5. Klarna Inc.
  • 31.6. Qlik Technologies Inc.
  • 31.7. C3.ai Inc.
  • 31.8. AlphaSense Inc.
  • 31.9. Marqeta Inc.
  • 31.10. Upstart Holdings Inc.
  • 31.11. Hugging Face Inc.
  • 31.12. ZestFinance Inc.
  • 31.13. TrueLayer Limited
  • 31.14. Featurespace Limited
  • 31.15. Numerai Inc.

32. Global Generative Artificial Intelligence (AI) In Finance Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Finance Market

34. Recent Developments In The Generative Artificial Intelligence (AI) In Finance Market

35. Generative Artificial Intelligence (AI) In Finance Market High Potential Countries, Segments and Strategies

  • 35.1 Generative Artificial Intelligence (AI) In Finance Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Generative Artificial Intelligence (AI) In Finance Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Generative Artificial Intelligence (AI) In Finance 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