시장보고서
상품코드
1565193

금융 서비스용 생성형 AI 시장 규모, 점유율, 동향 분석 리포트 : 도입별, 최종사용자별, 용도별, 지역별, 전망과 예측(2024-2031년)

Global Generative AI In Financial Services Market Size, Share & Trends Analysis Report By Deployment (Cloud-based, and On-premises), By End User, By Application, By Regional Outlook and Forecast, 2024 - 2031

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 277 Pages | 배송안내 : 즉시배송

    
    
    



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금융 서비스용 생성형 AI 시장 규모는 예측 기간 중 38.8%의 CAGR로 시장 성장하며, 2031년까지 211억 달러에 달할 것으로 예상되고 있습니다.

시장 성장 요인

디지털 거래, 고객과의 상호작용, 규제 요건 등으로 인해 금융권에서 생성되는 데이터의 양이 급격히 증가하고 있습니다. 또한 생성형 AI 기술은 기존 분석 방법으로는 발견할 수 없었던 금융 데이터 내의 패턴, 추세 및 상관관계를 식별할 수 있는 고급 분석 기능을 제공합니다. 결론적으로, 고급 분석과 인사이트에 대한 수요가 증가하면서 시장 성장을 가속하고 있습니다.

현대 소비자는 자신의 필요와 취향에 맞는 개인화된 금융 서비스를 기대합니다. 현재 재무 상황에 대응하고 미래 요구 사항을 예측하는 솔루션을 찾고 있으며, AI가 생성하는 인사이트을 통해 금융 기관은 신속하게 혁신하고 제품 제공을 맞춤화 할 수 있습니다. 따라서 고객 중심의 금융 솔루션에 대한 강조가 강화되어 시장 성장을 가속할 수 있습니다.

시장 성장 억제요인

Generative AI 시스템을 초기 설정하는 데는 상당한 자금 투자가 필요합니다. 고성능 서버, GPU와 같은 고급 하드웨어, 특수 소프트웨어 및 라이선스 비용, 기존 금융 시스템 및 IT 인프라에 생성형 AI 솔루션을 통합하는 것은 복잡하고 비용이 많이 소요될 수 있습니다. 따라서 높은 구현 비용과 운영 비용이 시장 성장을 저해하는 요인으로 작용하고 있습니다.

도입 전망

도입에 따라 시장은 온프레미스와 클라우드 기반으로 나뉘며, 2023년에는 온프레미스 부문이 시장에서 28%의 매출 점유율을 차지할 것으로 예상됩니다. 많은 금융 기관은 특히 데이터 보안 및 규정 준수와 관련하여 여러 가지 이유로 여전히 온프레미스 솔루션을 선호하고 있습니다.

최종사용자 전망

최종사용자별로 보면 시장은 소매금융, 기업금융, 보험사, 투자회사, 헤지펀드, 핀테크 기업으로 나뉩니다. 기업금융 부문은 2023년 시장에서 22%의 매출 점유율을 차지할 것으로 예상됩니다. 기업은행은 생성형 AI를 활용하여 복잡한 거래를 관리하고, 신용 위험을 평가하고, 의사 결정 프로세스를 강화하기 위해 AI를 활용하고 있습니다.

용도 전망

용도에 따라 시장은 위험 관리, 사기 탐지, 신용 점수, 예측 및 보고, 고객 서비스 및 챗봇으로 나뉩니다. 사기 탐지 부문은 2023년 시장에서 23%의 매출 점유율을 차지했습니다. 금융 기관은 거래 패턴을 분석하고 이상 징후를 식별하기 위해 생성형 AI를 점점 더 많이 활용하고 있으며, 부정 행위를 탐지하는 실시간 기능을 강화하고 있습니다.

지역 전망

지역별로 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카를 대상으로 시장을 분석한 결과, 2023년 북미가 42%의 매출 점유율을 기록할 것으로 예상됩니다. 북미, 특히 미국은 AI 연구개발에 많은 투자를 하고 있는 강력한 기술 생태계를 자랑합니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 개발
    • 파트너십, 협업 및 계약
    • 제품 발매와 제품 확대
    • 인수와 합병
  • 시장 점유율 분석 2023
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 움직임
  • Porter's Five Forces 분석

제5장 세계 시장 : 도입별

  • 세계의 클라우드 기반 시장 : 지역별
  • 세계의 온프레미스 시장 : 지역별

제6장 세계 시장 : 최종사용자별

  • 세계의 소매금융 시장 : 지역별
  • 세계의 기업 뱅킹 시장 : 지역별
  • 세계의 보험 회사 시장 : 지역별
  • 세계의 투자 회사 시장 : 지역별
  • 세계의 헤지펀드 시장 : 지역별
  • 세계의 핀테크 기업 시장 : 지역별

제7장 세계 시장 : 용도별

  • 세계의 리스크 관리 시장 : 지역별
  • 세계의 부정 탐지 시장 : 지역별
  • 세계의 신용 스코어링 시장 : 지역별
  • 세계의 예측·리포트 시장 : 지역별
  • 세계의 고객 서비스·챗봇 시장 : 지역별

제8장 세계 시장 : 지역별

  • 북미
    • 북미의 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미 지역
  • 유럽
    • 유럽의 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽 지역
  • 아시아태평양
    • 아시아태평양의 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 호주
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카·중동 및 아프리카
    • 라틴아메리카·중동 및 아프리카의 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카·중동 및 아프리카 지역

제9장 기업 개요

  • Amazon Web Services, Inc(Amazon.com, Inc.)
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Google LLC(Alphabet Inc)
  • Oracle Corporation
  • OpenAI, LL.C
  • SAP SE
  • Accenture PLC
  • Salesforce, Inc

제10장 금융 서비스용 생성형 AI 성공 필수 조건

KSA 24.10.21

The Global Generative AI In Financial Services Market size is expected to reach $21.1 billion by 2031, rising at a market growth of 38.8% CAGR during the forecast period.

Many countries in the Asia Pacific are experiencing significant digital transformation in their financial sectors, with increased investment in AI technologies. This trend is evident in countries like China, India, and Singapore, where financial institutions leverage Generative AI to enhance services and improve operational efficiencies. Thus, the Asia Pacific region would acquire 26% of the total market share by 2031.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In May, 2024, Oracle Corporation announced a partnership with Accenture, a global consultancy firm, to develop generative AI solutions. Leveraging Oracle Cloud Infrastructure, the two companies aimed to improve efficiency, resilience, and customer experiences, focusing initially on digital finance transformation and expanding to other industries. Moreover, In August, 2024, Accenture PLC signed a partnership with S&P Global, a capital market company. The partnership aimed to drive generative AI innovation in financial services.

Market Growth Factors

The volume of data generated in the financial sector has surged dramatically due to digital transactions, customer interactions, and regulatory requirements. In addition, Generative AI technologies offer sophisticated analytical capabilities that can identify patterns, trends, and correlations within financial data that may not be apparent through traditional analytical methods. In conclusion, the rising demand for advanced analytics and insights drives the market's growth.

Modern consumers expect personalized financial services catering to their needs and preferences. They seek solutions that address their current financial situations and anticipate future requirements. With the insights generated by AI, financial institutions can rapidly innovate and customize their product offerings. Thus, increased focus on customer-centric financial solutions propels the market's growth.

Market Restraining Factors

The initial setup of Generative AI systems requires considerable financial investment. This includes the cost of acquiring advanced hardware, such as high-performance servers and GPUs, as well as specialized software and licenses. Integrating Generative AI solutions with existing financial systems and IT infrastructure can be complex and costly. Therefore, high implementation and operational costs are hampering the market's growth.

Deployment Outlook

On the basis of deployment, the market is segmented into on-premises and cloud-based. In 2023, the on-premises segment attained 28% revenue share in the market. Many financial institutions still prefer on-premises solutions for various reasons, particularly regarding data security and compliance.

End User Outlook

By end user, the market is divided into retail banking, corporate banking, insurance companies, investment firms, hedge funds, and FinTech Companies. The corporate banking segment procured 22% revenue share in the market in 2023. Corporate banks leverage Generative AI to manage complex transactions, assess credit risk, and enhance decision-making processes.

Application Outlook

Based on application, the market is divided into risk management, fraud detection, credit scoring, forecasting & reporting, and customer service & chatbots. The fraud detection segment attained 23% revenue share in the market in 2023. Financial institutions increasingly leverage Generative AI to analyze transaction patterns and identify anomalies, enhancing their real-time capabilities to detect fraudulent activities.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2023, the North America region witnessed 42% revenue share in the market. North America, particularly the United States, boasts a robust technological ecosystem with significant AI research and development investments.

Recent Strategies Deployed in the Market

  • May-2024: SAP SE announced a partnership with IBM, an American technology company, to integrate generative AI into SAP's cloud solutions, enhancing business processes and industry innovation. This partnership aimed to optimize business outcomes, accelerate cloud adoption, and develop over 100 AI solutions across various industries, leveraging SAP Business Technology Platform.
  • May-2024: Accenture announced the acquisition of Parsionate, a data consultancy. This acquisition would strengthen Accenture's ability to deliver innovative, data-driven solutions across various industries, leveraging Parsionate's expertise in data strategy and technology implementation.
  • Apr-2024: Intel Corporation partnered with Infosys, an Indian IT company, to accelerate AI adoption in enterprises. The partnership would enhance performance, cost-effectiveness, and responsible AI use.
  • Apr-2024: Salesforce, Inc. released new capablities on Einstien AI platform. The new capabilities help banks manage transaction disputes efficiently. Features include Transaction Dispute Management and Einstein Copilot Banking Actions, which automate tasks, reduce errors, and improve customer communications, addressing the rise in digital payment disputes and enhancing service agent productivity.
  • Apr-2024: Oracle Corporation signed a partnership with Palantir, an American software company, to provide secure cloud and AI solutions for businesses and governments. This partnership would maximize data value, improve efficiency, and meet sovereignty and security standards.

List of Key Companies Profiled

  • Amazon Web Services, Inc.
  • Google LLC
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Salesforce, Inc.
  • OpenAI, LLC
  • SAP SE
  • Oracle Corporation
  • Accenture PLC

Global Generative AI In Financial Services Market Report Segmentation

By Deployment

  • Cloud-based
  • On-premises

By End User

  • Retail Banking
  • Corporate Banking
  • Insurance Companies
  • Investment Firms
  • Hedge Funds
  • FinTech Companies

By Application

  • Risk Management
  • Fraud Detection
  • Credit Scoring
  • Forecasting & Reporting
  • Customer Service & Chatbots

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Generative AI In Financial Services Market, by Deployment
    • 1.4.2 Global Generative AI In Financial Services Market, by End User
    • 1.4.3 Global Generative AI In Financial Services Market, by Application
    • 1.4.4 Global Generative AI In Financial Services Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

  • 4.1 KBV Cardinal Matrix
  • 4.2 Recent Industry Wide Strategic Developments
    • 4.2.1 Partnerships, Collaborations and Agreements
    • 4.2.2 Product Launches and Product Expansions
    • 4.2.3 Acquisition and Mergers
  • 4.3 Market Share Analysis, 2023
  • 4.4 Top Winning Strategies
    • 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
    • 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2023, Jun - 2024, Aug) Leading Players
  • 4.5 Porter Five Forces Analysis

Chapter 5. Global Generative AI In Financial Services Market by Deployment

  • 5.1 Global Cloud-based Market by Region
  • 5.2 Global On-premises Market by Region

Chapter 6. Global Generative AI In Financial Services Market by End User

  • 6.1 Global Retail Banking Market by Region
  • 6.2 Global Corporate Banking Market by Region
  • 6.3 Global Insurance Companies Market by Region
  • 6.4 Global Investment Firms Market by Region
  • 6.5 Global Hedge Funds Market by Region
  • 6.6 Global FinTech Companies Market by Region

Chapter 7. Global Generative AI In Financial Services Market by Application

  • 7.1 Global Risk Management Market by Region
  • 7.2 Global Fraud Detection Market by Region
  • 7.3 Global Credit Scoring Market by Region
  • 7.4 Global Forecasting & Reporting Market by Region
  • 7.5 Global Customer Service & Chatbots Market by Region

Chapter 8. Global Generative AI In Financial Services Market by Region

  • 8.1 North America Generative AI In Financial Services Market
    • 8.1.1 North America Generative AI In Financial Services Market by Deployment
      • 8.1.1.1 North America Cloud-based Market by Region
      • 8.1.1.2 North America On-premises Market by Region
    • 8.1.2 North America Generative AI In Financial Services Market by End User
      • 8.1.2.1 North America Retail Banking Market by Country
      • 8.1.2.2 North America Corporate Banking Market by Country
      • 8.1.2.3 North America Insurance Companies Market by Country
      • 8.1.2.4 North America Investment Firms Market by Country
      • 8.1.2.5 North America Hedge Funds Market by Country
      • 8.1.2.6 North America FinTech Companies Market by Country
    • 8.1.3 North America Generative AI In Financial Services Market by Application
      • 8.1.3.1 North America Risk Management Market by Country
      • 8.1.3.2 North America Fraud Detection Market by Country
      • 8.1.3.3 North America Credit Scoring Market by Country
      • 8.1.3.4 North America Forecasting & Reporting Market by Country
      • 8.1.3.5 North America Customer Service & Chatbots Market by Country
    • 8.1.4 North America Generative AI In Financial Services Market by Country
      • 8.1.4.1 US Generative AI In Financial Services Market
        • 8.1.4.1.1 US Generative AI In Financial Services Market by Deployment
        • 8.1.4.1.2 US Generative AI In Financial Services Market by End User
        • 8.1.4.1.3 US Generative AI In Financial Services Market by Application
      • 8.1.4.2 Canada Generative AI In Financial Services Market
        • 8.1.4.2.1 Canada Generative AI In Financial Services Market by Deployment
        • 8.1.4.2.2 Canada Generative AI In Financial Services Market by End User
        • 8.1.4.2.3 Canada Generative AI In Financial Services Market by Application
      • 8.1.4.3 Mexico Generative AI In Financial Services Market
        • 8.1.4.3.1 Mexico Generative AI In Financial Services Market by Deployment
        • 8.1.4.3.2 Mexico Generative AI In Financial Services Market by End User
        • 8.1.4.3.3 Mexico Generative AI In Financial Services Market by Application
      • 8.1.4.4 Rest of North America Generative AI In Financial Services Market
        • 8.1.4.4.1 Rest of North America Generative AI In Financial Services Market by Deployment
        • 8.1.4.4.2 Rest of North America Generative AI In Financial Services Market by End User
        • 8.1.4.4.3 Rest of North America Generative AI In Financial Services Market by Application
  • 8.2 Europe Generative AI In Financial Services Market
    • 8.2.1 Europe Generative AI In Financial Services Market by Deployment
      • 8.2.1.1 Europe Cloud-based Market by Country
      • 8.2.1.2 Europe On-premises Market by Country
    • 8.2.2 Europe Generative AI In Financial Services Market by End User
      • 8.2.2.1 Europe Retail Banking Market by Country
      • 8.2.2.2 Europe Corporate Banking Market by Country
      • 8.2.2.3 Europe Insurance Companies Market by Country
      • 8.2.2.4 Europe Investment Firms Market by Country
      • 8.2.2.5 Europe Hedge Funds Market by Country
      • 8.2.2.6 Europe FinTech Companies Market by Country
    • 8.2.3 Europe Generative AI In Financial Services Market by Application
      • 8.2.3.1 Europe Risk Management Market by Country
      • 8.2.3.2 Europe Fraud Detection Market by Country
      • 8.2.3.3 Europe Credit Scoring Market by Country
      • 8.2.3.4 Europe Forecasting & Reporting Market by Country
      • 8.2.3.5 Europe Customer Service & Chatbots Market by Country
    • 8.2.4 Europe Generative AI In Financial Services Market by Country
      • 8.2.4.1 Germany Generative AI In Financial Services Market
        • 8.2.4.1.1 Germany Generative AI In Financial Services Market by Deployment
        • 8.2.4.1.2 Germany Generative AI In Financial Services Market by End User
        • 8.2.4.1.3 Germany Generative AI In Financial Services Market by Application
      • 8.2.4.2 UK Generative AI In Financial Services Market
        • 8.2.4.2.1 UK Generative AI In Financial Services Market by Deployment
        • 8.2.4.2.2 UK Generative AI In Financial Services Market by End User
        • 8.2.4.2.3 UK Generative AI In Financial Services Market by Application
      • 8.2.4.3 France Generative AI In Financial Services Market
        • 8.2.4.3.1 France Generative AI In Financial Services Market by Deployment
        • 8.2.4.3.2 France Generative AI In Financial Services Market by End User
        • 8.2.4.3.3 France Generative AI In Financial Services Market by Application
      • 8.2.4.4 Russia Generative AI In Financial Services Market
        • 8.2.4.4.1 Russia Generative AI In Financial Services Market by Deployment
        • 8.2.4.4.2 Russia Generative AI In Financial Services Market by End User
        • 8.2.4.4.3 Russia Generative AI In Financial Services Market by Application
      • 8.2.4.5 Spain Generative AI In Financial Services Market
        • 8.2.4.5.1 Spain Generative AI In Financial Services Market by Deployment
        • 8.2.4.5.2 Spain Generative AI In Financial Services Market by End User
        • 8.2.4.5.3 Spain Generative AI In Financial Services Market by Application
      • 8.2.4.6 Italy Generative AI In Financial Services Market
        • 8.2.4.6.1 Italy Generative AI In Financial Services Market by Deployment
        • 8.2.4.6.2 Italy Generative AI In Financial Services Market by End User
        • 8.2.4.6.3 Italy Generative AI In Financial Services Market by Application
      • 8.2.4.7 Rest of Europe Generative AI In Financial Services Market
        • 8.2.4.7.1 Rest of Europe Generative AI In Financial Services Market by Deployment
        • 8.2.4.7.2 Rest of Europe Generative AI In Financial Services Market by End User
        • 8.2.4.7.3 Rest of Europe Generative AI In Financial Services Market by Application
  • 8.3 Asia Pacific Generative AI In Financial Services Market
    • 8.3.1 Asia Pacific Generative AI In Financial Services Market by Deployment
      • 8.3.1.1 Asia Pacific Cloud-based Market by Country
      • 8.3.1.2 Asia Pacific On-premises Market by Country
    • 8.3.2 Asia Pacific Generative AI In Financial Services Market by End User
      • 8.3.2.1 Asia Pacific Retail Banking Market by Country
      • 8.3.2.2 Asia Pacific Corporate Banking Market by Country
      • 8.3.2.3 Asia Pacific Insurance Companies Market by Country
      • 8.3.2.4 Asia Pacific Investment Firms Market by Country
      • 8.3.2.5 Asia Pacific Hedge Funds Market by Country
      • 8.3.2.6 Asia Pacific FinTech Companies Market by Country
    • 8.3.3 Asia Pacific Generative AI In Financial Services Market by Application
      • 8.3.3.1 Asia Pacific Risk Management Market by Country
      • 8.3.3.2 Asia Pacific Fraud Detection Market by Country
      • 8.3.3.3 Asia Pacific Credit Scoring Market by Country
      • 8.3.3.4 Asia Pacific Forecasting & Reporting Market by Country
      • 8.3.3.5 Asia Pacific Customer Service & Chatbots Market by Country
    • 8.3.4 Asia Pacific Generative AI In Financial Services Market by Country
      • 8.3.4.1 China Generative AI In Financial Services Market
        • 8.3.4.1.1 China Generative AI In Financial Services Market by Deployment
        • 8.3.4.1.2 China Generative AI In Financial Services Market by End User
        • 8.3.4.1.3 China Generative AI In Financial Services Market by Application
      • 8.3.4.2 Japan Generative AI In Financial Services Market
        • 8.3.4.2.1 Japan Generative AI In Financial Services Market by Deployment
        • 8.3.4.2.2 Japan Generative AI In Financial Services Market by End User
        • 8.3.4.2.3 Japan Generative AI In Financial Services Market by Application
      • 8.3.4.3 India Generative AI In Financial Services Market
        • 8.3.4.3.1 India Generative AI In Financial Services Market by Deployment
        • 8.3.4.3.2 India Generative AI In Financial Services Market by End User
        • 8.3.4.3.3 India Generative AI In Financial Services Market by Application
      • 8.3.4.4 South Korea Generative AI In Financial Services Market
        • 8.3.4.4.1 South Korea Generative AI In Financial Services Market by Deployment
        • 8.3.4.4.2 South Korea Generative AI In Financial Services Market by End User
        • 8.3.4.4.3 South Korea Generative AI In Financial Services Market by Application
      • 8.3.4.5 Australia Generative AI In Financial Services Market
        • 8.3.4.5.1 Australia Generative AI In Financial Services Market by Deployment
        • 8.3.4.5.2 Australia Generative AI In Financial Services Market by End User
        • 8.3.4.5.3 Australia Generative AI In Financial Services Market by Application
      • 8.3.4.6 Malaysia Generative AI In Financial Services Market
        • 8.3.4.6.1 Malaysia Generative AI In Financial Services Market by Deployment
        • 8.3.4.6.2 Malaysia Generative AI In Financial Services Market by End User
        • 8.3.4.6.3 Malaysia Generative AI In Financial Services Market by Application
      • 8.3.4.7 Rest of Asia Pacific Generative AI In Financial Services Market
        • 8.3.4.7.1 Rest of Asia Pacific Generative AI In Financial Services Market by Deployment
        • 8.3.4.7.2 Rest of Asia Pacific Generative AI In Financial Services Market by End User
        • 8.3.4.7.3 Rest of Asia Pacific Generative AI In Financial Services Market by Application
  • 8.4 LAMEA Generative AI In Financial Services Market
    • 8.4.1 LAMEA Generative AI In Financial Services Market by Deployment
      • 8.4.1.1 LAMEA Cloud-based Market by Country
      • 8.4.1.2 LAMEA On-premises Market by Country
    • 8.4.2 LAMEA Generative AI In Financial Services Market by End User
      • 8.4.2.1 LAMEA Retail Banking Market by Country
      • 8.4.2.2 LAMEA Corporate Banking Market by Country
      • 8.4.2.3 LAMEA Insurance Companies Market by Country
      • 8.4.2.4 LAMEA Investment Firms Market by Country
      • 8.4.2.5 LAMEA Hedge Funds Market by Country
      • 8.4.2.6 LAMEA FinTech Companies Market by Country
    • 8.4.3 LAMEA Generative AI In Financial Services Market by Application
      • 8.4.3.1 LAMEA Risk Management Market by Country
      • 8.4.3.2 LAMEA Fraud Detection Market by Country
      • 8.4.3.3 LAMEA Credit Scoring Market by Country
      • 8.4.3.4 LAMEA Forecasting & Reporting Market by Country
      • 8.4.3.5 LAMEA Customer Service & Chatbots Market by Country
    • 8.4.4 LAMEA Generative AI In Financial Services Market by Country
      • 8.4.4.1 Brazil Generative AI In Financial Services Market
        • 8.4.4.1.1 Brazil Generative AI In Financial Services Market by Deployment
        • 8.4.4.1.2 Brazil Generative AI In Financial Services Market by End User
        • 8.4.4.1.3 Brazil Generative AI In Financial Services Market by Application
      • 8.4.4.2 Argentina Generative AI In Financial Services Market
        • 8.4.4.2.1 Argentina Generative AI In Financial Services Market by Deployment
        • 8.4.4.2.2 Argentina Generative AI In Financial Services Market by End User
        • 8.4.4.2.3 Argentina Generative AI In Financial Services Market by Application
      • 8.4.4.3 UAE Generative AI In Financial Services Market
        • 8.4.4.3.1 UAE Generative AI In Financial Services Market by Deployment
        • 8.4.4.3.2 UAE Generative AI In Financial Services Market by End User
        • 8.4.4.3.3 UAE Generative AI In Financial Services Market by Application
      • 8.4.4.4 Saudi Arabia Generative AI In Financial Services Market
        • 8.4.4.4.1 Saudi Arabia Generative AI In Financial Services Market by Deployment
        • 8.4.4.4.2 Saudi Arabia Generative AI In Financial Services Market by End User
        • 8.4.4.4.3 Saudi Arabia Generative AI In Financial Services Market by Application
      • 8.4.4.5 South Africa Generative AI In Financial Services Market
        • 8.4.4.5.1 South Africa Generative AI In Financial Services Market by Deployment
        • 8.4.4.5.2 South Africa Generative AI In Financial Services Market by End User
        • 8.4.4.5.3 South Africa Generative AI In Financial Services Market by Application
      • 8.4.4.6 Nigeria Generative AI In Financial Services Market
        • 8.4.4.6.1 Nigeria Generative AI In Financial Services Market by Deployment
        • 8.4.4.6.2 Nigeria Generative AI In Financial Services Market by End User
        • 8.4.4.6.3 Nigeria Generative AI In Financial Services Market by Application
      • 8.4.4.7 Rest of LAMEA Generative AI In Financial Services Market
        • 8.4.4.7.1 Rest of LAMEA Generative AI In Financial Services Market by Deployment
        • 8.4.4.7.2 Rest of LAMEA Generative AI In Financial Services Market by End User
        • 8.4.4.7.3 Rest of LAMEA Generative AI In Financial Services Market by Application

Chapter 9. Company Profiles

  • 9.1 Amazon Web Services, Inc. (Amazon.com, Inc.)
    • 9.1.1 Company Overview
    • 9.1.2 Financial Analysis
    • 9.1.3 Segmental Analysis
    • 9.1.4 Recent strategies and developments:
      • 9.1.4.1 Partnerships, Collaborations, and Agreements:
    • 9.1.5 SWOT Analysis
  • 9.2 IBM Corporation
    • 9.2.1 Company Overview
    • 9.2.2 Financial Analysis
    • 9.2.3 Regional & Segmental Analysis
    • 9.2.4 Research & Development Expenses
    • 9.2.5 Recent strategies and developments:
      • 9.2.5.1 Partnerships, Collaborations, and Agreements:
      • 9.2.5.2 Product Launches and Product Expansions:
    • 9.2.6 SWOT Analysis
  • 9.3 Intel Corporation
    • 9.3.1 Company Overview
    • 9.3.2 Financial Analysis
    • 9.3.3 Segmental and Regional Analysis
    • 9.3.4 Research & Development Expenses
    • 9.3.5 Recent strategies and developments:
      • 9.3.5.1 Partnerships, Collaborations, and Agreements:
    • 9.3.6 SWOT Analysis
  • 9.4 Microsoft Corporation
    • 9.4.1 Company Overview
    • 9.4.2 Financial Analysis
    • 9.4.3 Segmental and Regional Analysis
    • 9.4.4 Research & Development Expenses
    • 9.4.5 Recent strategies and developments:
      • 9.4.5.1 Partnerships, Collaborations, and Agreements:
      • 9.4.5.2 Product Launches and Product Expansions:
    • 9.4.6 SWOT Analysis
  • 9.5 Google LLC (Alphabet Inc.)
    • 9.5.1 Company Overview
    • 9.5.2 Financial Analysis
    • 9.5.3 Segmental and Regional Analysis
    • 9.5.4 Research & Development Expense
    • 9.5.5 Recent strategies and developments:
      • 9.5.5.1 Partnerships, Collaborations, and Agreements:
      • 9.5.5.2 Product Launches and Product Expansions:
    • 9.5.6 SWOT Analysis
  • 9.6 Oracle Corporation
    • 9.6.1 Company Overview
    • 9.6.2 Financial Analysis
    • 9.6.3 Segmental and Regional Analysis
    • 9.6.4 Research & Development Expense
    • 9.6.5 Recent strategies and developments:
      • 9.6.5.1 Partnerships, Collaborations, and Agreements:
      • 9.6.5.2 Product Launches and Product Expansions:
    • 9.6.6 SWOT Analysis
  • 9.7 OpenAI, L.L.C.
    • 9.7.1 Company Overview
    • 9.7.2 SWOT Analysis
  • 9.8 SAP SE
    • 9.8.1 Company Overview
    • 9.8.2 Financial Analysis
    • 9.8.3 Regional Analysis
    • 9.8.4 Research & Development Expense
    • 9.8.5 Recent strategies and developments:
      • 9.8.5.1 Partnerships, Collaborations, and Agreements:
      • 9.8.5.2 Product Launches and Product Expansions:
    • 9.8.6 SWOT Analysis
  • 9.9 Accenture PLC
    • 9.9.1 Company Overview
    • 9.9.2 Financial Analysis
    • 9.9.3 Segmental Analysis
    • 9.9.4 Research & Development Expenses
    • 9.9.5 Recent strategies and developments:
      • 9.9.5.1 Partnerships, Collaborations, and Agreements:
      • 9.9.5.2 Acquisition and Mergers:
    • 9.9.6 SWOT Analysis
  • 9.10. Salesforce, Inc.
    • 9.10.1 Company Overview
    • 9.10.2 Financial Analysis
    • 9.10.3 Regional Analysis
    • 9.10.4 Research & Development Expenses
    • 9.10.5 Recent strategies and developments:
      • 9.10.5.1 Partnerships, Collaborations, and Agreements:
      • 9.10.5.2 Product Launches and Product Expansions:
    • 9.10.6 SWOT Analysis

Chapter 10. Winning Imperatives for Generative AI In Financial Services Market

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