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金融サービスにおける生成人工知能の世界市場

Generative Artificial Intelligence in Financial Services

出版日
ページ情報
英文 181 Pages
納期
即日から翌営業日
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
金融サービスにおける生成人工知能の世界市場
出版日: 2025年01月27日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 181 Pages
納期: 即日から翌営業日
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概要

金融サービスにおける生成人工知能の世界市場は2030年までに189億米ドルに達する見込み

2024年に27億米ドルと推定される金融サービスにおける生成人工知能の世界市場は、2024年から2030年にかけてCAGR 38.7%で成長し、2030年には189億米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるクラウドベースのデプロイメントは、CAGR 39.8％を記録し、分析期間終了までに138億米ドルに達すると予測されます。オンプレミスデプロイメントセグメントの成長率は、分析期間中CAGR 35.9%と推定されます。

米国市場は7億70万米ドルと推定、中国はCAGR 36.6％で成長予測

米国の金融サービスにおける生成人工知能市場は、2024年に7億70万米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに28億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは36.6%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ35.4％と33.4％と予測されています。欧州では、ドイツがCAGR 26.9%で成長すると予測されています。

世界の金融サービスにおける生成人工知能市場- 主要動向と促進要因まとめ

生成AIは金融サービスをどう変革するか？

生成型人工知能（AI）は、金融機関の運営、意思決定、顧客サービスの方法を根本的に変えることで、金融サービス分野に革命をもたらしています。この高度なテクノロジーは、膨大な量の構造化・非構造化データを分析し、意味のある洞察を生み出し、パターンを検出し、さらには予測モデルやリスク評価などの新しいデータを作成することができます。アンダーライティング、ポートフォリオ分析、規制遵守などの労働集約的なプロセスを自動化することで、生成AIはコストを削減しながら効率化を推進しています。生成AIを搭載したロボアドバイザーが、リアルタイムの市場分析と個々の顧客の目標に基づいてオーダーメイドの投資戦略を提供しています。同様に、不正行為の検知では、生成AIが潜在的な攻撃シナリオをシミュレートすることで、金融機関は脆弱性をプロアクティブに特定し、防御を強化することができます。さらに、AIを活用したチャットボットやバーチャルアシスタントによって、顧客とのやり取りが一変し、即座の応答、詳細な金融ガイダンス、パーソナライズされた商品推奨が提供されるようになっています。このレベルの精度とスピードは顧客サービスを再定義し、金融取引をシームレスで価値主導の体験に変えています。生成AIが進化を続ける中、データ主導の精度と創造的な問題解決を組み合わせるその能力は、金融業界におけるイノベーションの新たなベンチマークを設定しつつあります。

金融業界におけるAI導入の推進においてテクノロジーが果たす役割とは？

生成AIを支える技術的進歩は、金融サービス全体におけるAIの採用を加速させる上で重要な役割を果たしています。トランスフォーマーモデルや生成的敵対ネットワーク（GAN）を含むディープラーニングアーキテクチャの革新により、AIシステムはダイナミックなリスクモデル、カスタマイズされた投資ポートフォリオ、予測分析などの非常に複雑なアウトプットを比類のない精度で生成できるようになりました。クラウド・コンピューティングはこれらのテクノロジーへのアクセスをさらに民主化し、あらゆる規模の金融機関が大規模なオンプレミス・インフラの負担なしにAI主導のソリューションを導入できるようにしました。ブロックチェーン技術と生成AIの統合は、特にクロスボーダー決済や分散型金融（DeFi）などの分野で、透明性と安全性を高める新たな道を開いた。さらに、エッジAIとハイパフォーマンス・コンピューティング（HPC）は、金融データのリアルタイム処理を可能にしており、動きの速い市場における高頻度取引や不正検知などの活動に不可欠です。また、自然言語処理（NLP）の進歩により、AIは規制文書の解釈、コンプライアンス・レポートの作成、有意義な顧客とのコミュニケーションを人間のように流暢に行えるようになりました。こうした技術的躍進は、単に既存の金融プロセスを強化するだけでなく、金融エコシステムにおけるまったく新しい機能やビジネスモデルへの道を開いています。

生成AIによって業界の実務はどのように進化しているのか？

生成AIの採用は、金融サービスの様々なセグメントで業界の慣行を再構築し、効率性、正確性、革新性の新たな基準を設定しています。投資銀行はAIを活用してデューデリジェンスの自動化、リアルタイム・シミュレーションの生成、複雑な取引戦略の最適化を進めています。このテクノロジーは、正確なポートフォリオのリバランスを可能にし、顧客に高度にパーソナライズされた投資アドバイスを提供することで、資産運用を変革しています。リテール・バンキングでは、生成AIがダイナミックなクレジット・スコアリングからリアルタイムの商品カスタマイズに至るまで、超個人化された顧客体験を促進し、大きな進歩を目の当たりにしています。保険分野では、AIモデルが保険金請求処理を自動化し、リスクを正確に予測し、顧客のニーズに沿った保険契約を生成しています。コンプライアンス・チームは、生成AIを活用してマネーロンダリング防止（AML）手続きを合理化し、日々進化する規制要件の遵守を確実にしています。さらにAIは、金融機関が透明性とセキュリティが最重要となる分散型金融などの新たな成長分野を開発することを可能にしています。これらの進化する実践は、生成AIが業務を最適化するだけでなく、金融サービスにおける競合情勢を再定義し、金融機関が革新的な方法で価値を提供することを可能にしていることを示しています。

市場拡大を支える主な成長促進要因とは？

金融サービスにおける生成人工知能市場の成長は、技術の進歩、業務上の需要、消費者の嗜好の変化が重なり合うことによってもたらされます。主な促進要因の1つは、金融市場の複雑化であり、膨大なデータから実用的な知見を分析・生成できる高度なツールが必要とされています。カスタムメイドの投資プランやダイナミックなローン商品など、パーソナライズされた金融ソリューションに対する需要も、金融機関に生成AIの導入を促しています。規制遵守の圧力はAIの採用をさらに加速させており、金融機関は厳格な法的基準を満たすためにコンプライアンス手続きの自動化と精度向上を追求しています。モバイル・プラットフォームやフィンテックの革新に後押しされたデジタル・ファースト・バンキングの台頭は、伝統的な金融機関に競争力を維持するための生成AIの導入を迫っています。もう一つの重要な要因は、AIとブロックチェーンや量子コンピューティング技術との統合であり、これにより安全なクロスボーダー取引や耐量子性金融モデリングなどの分野で新たな応用が推進されています。リアルタイムの金融取引やセルフサービス・ツールの選好など、消費者の行動動向は、金融機関がこうした期待に応えるために生成AIソリューションを導入するよう促しています。これらの要因が相まって、金融サービスにおける生成AIの変革の可能性が強調され、市場の堅調な成長と業界の運営方法のパラダイムシフトが確実なものとなっています。

セグメント

デプロイメント（クラウドベースデプロイメント、オンプレミスデプロイメント）、アプリケーション（リスクマネジメントアプリケーション、不正検出アプリケーション、クレジットスコアリングアプリケーション、予測＆レポートアプリケーション、カスタマーサービス＆チャットボットアプリケーション）、最終用途（リテールバンキング最終用途、コーポレートバンキング最終用途、保険会社最終用途、投資会社最終用途、ヘッジファンド最終用途、フィンテック企業最終用途）

調査対象企業の例（注目の41社）

  • Alphasense Inc.
  • Amazon Web Services, Inc.
  • DataRobot, Inc.
  • Ernst & Young Global Ltd.
  • Google Cloud
  • HCL Technologies Ltd.
  • IBM Corporation
  • Intel Corporation
  • Kavout
  • Microsoft Corporation

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP31168

Global Generative Artificial Intelligence in Financial Services Market to Reach US$18.9 Billion by 2030

The global market for Generative Artificial Intelligence in Financial Services estimated at US$2.7 Billion in the year 2024, is expected to reach US$18.9 Billion by 2030, growing at a CAGR of 38.7% over the analysis period 2024-2030. Cloud-based Deployment, one of the segments analyzed in the report, is expected to record a 39.8% CAGR and reach US$13.8 Billion by the end of the analysis period. Growth in the On-Premise Deployment segment is estimated at 35.9% CAGR over the analysis period.

The U.S. Market is Estimated at US$700.7 Million While China is Forecast to Grow at 36.6% CAGR

The Generative Artificial Intelligence in Financial Services market in the U.S. is estimated at US$700.7 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$2.8 Billion by the year 2030 trailing a CAGR of 36.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 35.4% and 33.4% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 26.9% CAGR.

Global Generative Artificial Intelligence in Financial Services Market - Key Trends & Drivers Summarized

How Is Generative AI Transforming Financial Services?

Generative Artificial Intelligence (AI) is revolutionizing the financial services sector by fundamentally altering how institutions operate, make decisions, and serve customers. This advanced technology is capable of analyzing vast amounts of structured and unstructured data to generate meaningful insights, detect patterns, and even create new data, such as predictive models and risk assessments. By automating labor-intensive processes like underwriting, portfolio analysis, and regulatory compliance, generative AI is driving efficiency while reducing costs. Its applications are evident in wealth management, where robo-advisors equipped with generative AI provide tailored investment strategies based on real-time market analysis and individual client goals. Similarly, in fraud detection, generative AI simulates potential attack scenarios, enabling financial institutions to proactively identify vulnerabilities and strengthen defenses. Additionally, customer interactions are being transformed through AI-driven chatbots and virtual assistants that offer instant responses, detailed financial guidance, and personalized product recommendations. This level of precision and speed is redefining customer service, turning financial interactions into seamless, value-driven experiences. As generative AI continues to advance, its ability to combine data-driven precision with creative problem-solving is setting a new benchmark for innovation in the financial industry.

What Role Does Technology Play in Driving AI Adoption in Finance?

The technological advancements underpinning generative AI have been instrumental in accelerating its adoption across financial services. Innovations in deep learning architectures, including transformer models and generative adversarial networks (GANs), have enabled AI systems to generate highly complex outputs such as dynamic risk models, customized investment portfolios, and predictive analytics with unparalleled accuracy. Cloud computing has further democratized access to these technologies, allowing financial institutions of all sizes to deploy AI-driven solutions without the burden of extensive on-premise infrastructure. The integration of blockchain technology with generative AI has opened new avenues for enhancing transparency and security, particularly in areas like cross-border payments and decentralized finance (DeFi). Additionally, edge AI and high-performance computing (HPC) are enabling real-time processing of financial data, crucial for activities such as high-frequency trading and fraud detection in fast-moving markets. Natural language processing (NLP) advancements have also empowered AI to interpret regulatory documents, generate compliance reports, and engage in meaningful customer communication with human-like fluency. These technological breakthroughs are not merely enhancing existing financial processes but are paving the way for entirely new capabilities and business models in the financial ecosystem.

How Are Industry Practices Evolving with Generative AI?

The adoption of generative AI is reshaping industry practices across various segments of financial services, setting new standards for efficiency, accuracy, and innovation. Investment banks are leveraging AI to automate due diligence, generate real-time simulations, and optimize complex trading strategies. This technology is transforming asset management by enabling precise portfolio rebalancing and delivering highly personalized investment advice to clients. Retail banking is witnessing significant advancements as generative AI facilitates hyper-personalized customer experiences, from dynamic credit scoring to real-time product customization. In the insurance sector, AI models are automating claims processing, accurately predicting risk, and generating tailored insurance policies that align with customer needs. Compliance teams are using generative AI to streamline anti-money laundering (AML) procedures and ensure adherence to ever-evolving regulatory requirements. Moreover, AI is enabling financial institutions to tap into new growth areas such as decentralized finance, where transparency and security are paramount. These evolving practices illustrate how generative AI is not only optimizing operations but also redefining the competitive landscape in financial services, enabling institutions to deliver value in innovative ways.

What Are the Key Growth Drivers Behind the Market’s Expansion?

The growth in the generative artificial intelligence in financial services market is driven by a confluence of technological advancements, operational demands, and changing consumer preferences. One of the key drivers is the increasing complexity of financial markets, which requires sophisticated tools capable of analyzing and generating actionable insights from vast amounts of data. The demand for personalized financial solutions, such as custom-tailored investment plans and dynamic loan products, is also pushing institutions to adopt generative AI. Regulatory compliance pressures have further accelerated the adoption of AI, as institutions seek to automate and enhance the accuracy of compliance procedures to meet stringent legal standards. The rise of digital-first banking, fueled by mobile platforms and fintech innovations, is compelling traditional institutions to embrace generative AI to stay competitive. Another critical factor is the integration of AI with blockchain and quantum computing technologies, which is driving new applications in areas such as secure cross-border transactions and quantum-resistant financial modeling. Consumer behavior trends, including the preference for real-time financial interactions and self-service tools, are encouraging financial institutions to deploy generative AI solutions to meet these expectations. Together, these drivers underscore the transformative potential of generative AI in financial services, ensuring robust market growth and a paradigm shift in how the industry operates.

SCOPE OF STUDY:

The report analyzes the Generative Artificial Intelligence in Financial Services market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Deployment (Cloud-based Deployment, On-Premise Deployment); Application (Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application, Customer Service & Chatbots Application); End-Use (Retail Banking End-Use, Corporate Banking End-Use, Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 41 Featured) -

  • Alphasense Inc.
  • Amazon Web Services, Inc.
  • DataRobot, Inc.
  • Ernst & Young Global Ltd.
  • Google Cloud
  • HCL Technologies Ltd.
  • IBM Corporation
  • Intel Corporation
  • Kavout
  • Microsoft Corporation

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Economic Frontiers: Trends, Trials & Transformations
    • Generative Artificial Intelligence in Financial Services - Global Key Competitors Percentage Market Share in 2024 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rising Demand for Personalized Financial Solutions Drives Adoption of Generative AI in Financial Services
    • Advancements in AI-Driven Risk Analysis Strengthen the Business Case for Generative AI Tools
    • Increased Focus on Fraud Detection Fuels Growth in AI-Powered Financial Applications
    • Automation of Routine Financial Operations Expands Addressable Market for AI Solutions
    • Generative AI's Role in Enhancing Customer Experience Spurs Demand in Banking and Insurance
    • Integration of AI Tools into Wealth Management Platforms Propels Market Growth
    • Growing Adoption of AI for Financial Forecasting Strengthens Institutional Investments in Technology
    • Regulatory Compliance Requirements Create Opportunities for AI-Driven Reporting Solutions
    • Ethical and Transparent AI Use in Finance Shapes Market Dynamics and Consumer Trust
    • Generative AI's Ability to Process Large-Scale Financial Data Enhances Decision-Making Efficiency
    • Expansion of AI Chatbots in Financial Advisory Services Creates New Growth Opportunities
    • AI-Powered Financial Content Generation Drives Efficiency in Marketing and Client Communication
    • Emerging Focus on Hyper-Personalization in Financial Planning Fuels Adoption of Generative AI
    • Demand for Real-Time Financial Analytics Sustains Growth in AI Deployment
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Generative Artificial Intelligence in Financial Services Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Cloud-based Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for On-Premise Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Insurance Companies End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Insurance Companies End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Investment Firms End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Investment Firms End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Hedge Funds End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Hedge Funds End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for FinTech Companies End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for FinTech Companies End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Retail Banking End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Retail Banking End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for Corporate Banking End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for Corporate Banking End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Risk Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for Risk Management Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for Fraud Detection Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 23: World 6-Year Perspective for Fraud Detection Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Credit Scoring Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 25: World 6-Year Perspective for Credit Scoring Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Forecasting & Reporting Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 27: World 6-Year Perspective for Forecasting & Reporting Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Customer Service & Chatbots Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 29: World 6-Year Perspective for Customer Service & Chatbots Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Generative Artificial Intelligence in Financial Services Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 30: USA Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 31: USA 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: USA 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • CANADA
    • TABLE 36: Canada Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Canada 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Canada 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • JAPAN
    • Generative Artificial Intelligence in Financial Services Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 42: Japan Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Japan 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 44: Japan Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Japan 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Japan 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • CHINA
    • Generative Artificial Intelligence in Financial Services Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 48: China Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: China 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 50: China Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: China 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 52: China Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: China 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • EUROPE
    • Generative Artificial Intelligence in Financial Services Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 54: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 55: Europe 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 56: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Europe 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 58: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Europe 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 60: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Europe 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • FRANCE
    • Generative Artificial Intelligence in Financial Services Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 62: France Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: France 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 64: France Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: France 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 66: France Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 67: France 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • GERMANY
    • Generative Artificial Intelligence in Financial Services Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 68: Germany Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Germany 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 70: Germany Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Germany 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 72: Germany Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 73: Germany 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • ITALY
    • TABLE 74: Italy Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 75: Italy 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 76: Italy Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 77: Italy 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 78: Italy Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 79: Italy 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • UNITED KINGDOM
    • Generative Artificial Intelligence in Financial Services Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 80: UK Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 81: UK 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 82: UK Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 83: UK 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 84: UK Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 85: UK 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 86: Rest of Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Rest of Europe 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 88: Rest of Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Rest of Europe 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 90: Rest of Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Rest of Europe 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Generative Artificial Intelligence in Financial Services Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 92: Asia-Pacific Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Asia-Pacific 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 94: Asia-Pacific Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Asia-Pacific 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 96: Asia-Pacific Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 97: Asia-Pacific 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 98: Rest of World Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Rest of World 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
    • TABLE 100: Rest of World Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by End-Use - Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 101: Rest of World 6-Year Perspective for Generative Artificial Intelligence in Financial Services by End-Use - Percentage Breakdown of Value Sales for Insurance Companies End-Use, Investment Firms End-Use, Hedge Funds End-Use, FinTech Companies End-Use, Retail Banking End-Use and Corporate Banking End-Use for the Years 2025 & 2030
    • TABLE 102: Rest of World Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Financial Services by Application - Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 103: Rest of World 6-Year Perspective for Generative Artificial Intelligence in Financial Services by Application - Percentage Breakdown of Value Sales for Risk Management Application, Fraud Detection Application, Credit Scoring Application, Forecasting & Reporting Application and Customer Service & Chatbots Application for the Years 2025 & 2030

IV. COMPETITION