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2025年全球金融領域生成式AI（AI）市場報告

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個工作天內

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簡介目錄

近年來，金融領域生成式AI（AI）的市場規模迅速擴張，從2024年的20.5億美元成長到2025年的28.2億美元，複合年成長率達37.6%。這段歷史性成長時期主要受以下因素驅動：服務數位化、個人化客戶互動日益增加、對金融服務安全性和信任度的需求不斷成長、資料隱私和安全問題，以及監管合規和管治。

預計未來幾年，金融領域的生成式AI(AI) 市場將呈指數級成長，到 2029 年市場規模將達到 101 億美元，複合年成長率 (CAGR) 為 37.6%。預測期內的成長可歸因於生產力的提高、生成式人工智慧 (AI) 在詐欺檢測和預防方面的應用、利用先進的生成式人工智慧實現複雜金融任務的自動化、改善金融領域的客戶體驗以及營運效率的提升和成本的降低。預測期內的關鍵趨勢包括創新解決方案的開發、數據分析和彙報、人工智慧驅動的聊天機器人、機器學習 (ML) 的整合以及人工智慧工具的創新。

金融領域的生成式AI（AI）是指利用先進演算法和機器學習技術產生新數據、新洞察或金融模式的AI系統。這些系統可以產生合成金融數據、模擬市場情景、制定交易策略並創建預測分析。透過處理和分析大量金融訊息，金融領域的生成式人工智慧能夠以創新解決方案增強決策能力、最佳化投資策略並改善風險管理。

金融領域生成式人工智慧的關鍵技術包括深度學習、自然語言處理、電腦視覺和強化學習。深度學習是機器學習的一個分支，它利用多層神經網路對海量資料集中的複雜模式進行建模，類似於人腦處理資訊的方式。這些技術可以透過多種部署模型來實現，包括雲端、本地部署和混合部署。其應用領域包括風險管理、詐欺偵測、投資研究和交易演算法。

美國在2025年春季突然提高關稅及其引發的貿易摩擦，對資訊科技產業，特別是硬體製造、資料基礎設施和軟體部署領域，產生了重大影響。進口半導體、電路基板和網路設備的關稅上漲，推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司，面臨更長的前置作業時間和價格壓力。同時，對專用軟體徵收的關稅以及主要國際市場的報復性措施，擾亂了全球IT供應鏈，並降低了海外對美國製造技術的需求。為了應對這些挑戰，該產業正在加大對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化技術來增強韌性，更有效地控制成本。

本研究報告是商業研究公司（The Business Research Company）最新系列報告的一部分，該系列報告提供金融領域生成式AI（AI）市場統計數據，例如全球市場規模、區域佔有率、金融領域生成式AI生成式AI（AI）市場佔有率的競爭對手、詳細的金融領域生成式AI（AI）市場細分、市場趨勢和商業機會，為您提供在金融領域生成式AI（AI）行業取得成功所需的資料。這份金融領域生成式AI（AI）研究報告全面概​​述了您所需的一切資訊，並對該行業的現狀和未來發展趨勢進行了詳細分析。

未來五年37.6%的成長率預測較我們先前對該市場的預測略微下調了0.5%。這一下調主要歸因於美國與其他國家之間的關稅影響。關稅可能透過增加資料基礎設施（例如高效能運算伺服器和GPU）的成本（這些設備主要從台灣和韓國等國家進口），間接阻礙美國金融機構使用生成式人工智慧。這會增加金融建模和即時詐欺偵測的營運成本。此外，由於相互關稅以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響，這種影響也將更加廣泛。

對個人化金融服務的需求預計將推動金融市場中生成式人工智慧 (AI) 的發展。個人化金融服務是指根據每位客戶的特定需求、偏好和情況，量身訂做解決方案和建議。這種需求源自於消費者對更佳財務管理和更強風險管理能力的期望。生成式人工智慧整合了來自社交媒體、交易記錄和金融帳戶等各種來源的數據，從而提供更全面、更個人化的客戶財務狀況視圖。例如，MX Technologies 於 2024 年 5 月對美國和加拿大金融服務業的 150 位領導者和決策者進行的一項調查發現，81% 的數據策略領導者認為，基於消費者財務數據的個人化體驗在未來至關重要。此外，45% 的消費者認為他們與金融類行動應用程式的互動是個人化的，36% 的消費者更傾向於安全地共用所有帳戶的財務數據，並在一個平台上獲得個人化的指導和見解。因此，對個人化金融服務日益成長的需求是推動金融領域生成式人工智慧市場發展的關鍵因素。

金融領域的生成式AI(AI) 市場由營業單位透過演算法交易、詐欺偵測和管理等服務所獲得的收入所構成。市場價值還包括服務提供者銷售的或包含在其服務產品中的相關產品的價值。金融領域的生成式AI(AI) 市場還包括自動化工具、風險管理工具和客戶關係管理工具的銷售。此市場的價值為「出廠價」：即商品製造商或創造者銷售給其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接銷售給最終客戶的商品價值。該市場中的商品價值還包括商品創造者銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球金融領域的生成式AI（AI）：PESTEL 分析（政治、社會、科技、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球金融領域生成式AI（AI）市場：成長率分析
  • 全球金融領域生成式AI（AI）市場表現：規模與成長，2019-2024年
  • 全球金融領域生成式AI（AI）市場：規模與成長，2024-2029年及2034年預測
  • 全球金融領域的生成式AI（AI）：潛在市場規模（TAM）

第6章 市場細分

  • 全球金融領域生成式AI（AI）市場：依技術、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 深度學習技術
  • 自然語言處理技術
  • 電腦視覺技術
  • 強化學習技術
  • 其他技術
  • 全球金融領域生成式AI（AI）市場：按部署模式分類的實際結果和預測（2019-2024年、2024-2029年預測、2034年預測）
  • 雲端部署
  • 本地部署
  • 混合部署
  • 全球金融領域生成式AI（AI）市場：按應用、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 風險管理
  • 詐欺偵測
  • 投資研究
  • 交易演算法
  • 其他用途
  • 全球金融領域生成式AI（AI）市場：依深度學習技術（類型）細分、效能及預測，2019-2024年、2024-2029年預測、2034年預測
  • 詐欺檢測與預防
  • 演算法交易
  • 信用評分和風險評估
  • 投資預測分析
  • 全球金融領域生成式AI（AI）市場：按自然語言處理（NLP）技術（類型）細分、效能及預測，2019-2024年、2024-2029年預測、2034年預測
  • 金融市場情緒分析
  • 聊天機器人和虛擬助手
  • 文件和合約分析
  • 客戶服務中的語音辨識
  • 全球金融領域生成式AI（AI）市場：依電腦視覺技術（類型）細分、效能及預測，2019-2024年、2024-2029年預測、2034年預測
  • 基於圖像的詐騙偵測
  • 從文件中資料提取
  • 用於安防監控的視訊分析
  • 自動化財務文件處理
  • 全球金融領域生成式AI（AI）市場：依強化學習技術（類型）細分、績效及預測，2019-2024年、2024-2029年預測、2034年預測
  • 投資組合管理與最佳化
  • 交易策略制定
  • 交易風險管理
  • 個人化財務諮詢服務
  • 全球金融領域生成式AI（AI）市場：依技術類型細分，實際值與預測值，2019-2024年、2024-2029年預測值、2034年預測值
  • 混合人工智慧模型（多種人工智慧技術的組合）
  • 區塊鏈和加密貨幣分析的人工智慧
  • 基於人工智慧的金融數據分析平台

第7章 區域和國家分析

  • 全球金融領域生成式AI（AI）市場：區域分析、預測及成長，2019-2024年、2024-2029年預測、2034年預測
  • 全球金融領域生成式AI（AI）市場：國家/地區、績效及預測，2019-2024年、2024-2029年預測、2034年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 金融領域的生成式AI（AI）：競爭格局
  • 金融領域生成式AI（AI）市場：公司概況
    • 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：其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年金融市場中的生成式AI（AI）：提供新機會的國家
  • 2029年金融市場中的生成式AI（AI）：提供新機會的細分領域
  • 2029年金融領域生成式AI（AI）市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
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.

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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