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LAMEA Generative AI In Financial Services Market Size, Share & Trends Analysis Report By Deployment, By End User, By Application, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 144 Pages
  • September 2024
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6010260
The Latin America, Middle East and Africa Generative AI In Financial Services Market is expected to witness market growth of 42.1% CAGR during the forecast period (2024-2031).

The Brazil market dominated the LAMEA Generative AI In Financial Services Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of USD435.9 million by 2031. The Argentina market is showcasing a CAGR of 43.6% during 2024-2031. Additionally, the UAE market would register a CAGR of 41.7% during 2024-2031.



The Generative AI landscape in financial services is continuously evolving, driving innovative solutions that enhance efficiency, customer experience, and decision-making. Generative AI tools can create highly personalized financial plans based on individual goals, spending habits, and market conditions. These plans can adapt to changing financial situations in real-time, helping customers make informed decisions about investments, savings, and expenditures.

Innovative Generative AI models are being developed to automate investment strategies that continuously learn from market data. These models can dynamically adjust portfolios based on market trends, optimizing returns while minimizing risks and allowing for a more agile investment approach. Financial institutions utilize Generative AI to create detailed scenario analyses for risk assessment. By generating multiple potential future scenarios based on various market conditions, firms can better prepare for uncertainties and develop robust risk management strategies.

As digital financial solutions increase, there will be a growing demand for AI-driven customer support services. Generative AI can automate customer interactions, offering personalized solutions and improving response times. This automation will enhance customer satisfaction and reduce operational costs for financial institutions. The integration of Generative AI in financial services will also facilitate regulatory compliance. As fintech companies operate within a strict regulatory framework, AI can ensure adherence to compliance requirements. This will alleviate the burden on firms while maintaining high standards of accountability and transparency. In conclusion, the increasing fintech sector in Saudi Arabia and rising investment in AI drive the market's growth.

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

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 Country

  • 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 LAMEA Generative AI In Financial Services Market, by Deployment
1.4.2 LAMEA Generative AI In Financial Services Market, by End User
1.4.3 LAMEA Generative AI In Financial Services Market, by Application
1.4.4 LAMEA Generative AI In Financial Services Market, by Country
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 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. LAMEA Generative AI In Financial Services Market by Deployment
5.1 LAMEA Cloud-based Market by Country
5.2 LAMEA On-premises Market by Country
Chapter 6. LAMEA Generative AI In Financial Services Market by End User
6.1 LAMEA Retail Banking Market by Country
6.2 LAMEA Corporate Banking Market by Country
6.3 LAMEA Insurance Companies Market by Country
6.4 LAMEA Investment Firms Market by Country
6.5 LAMEA Hedge Funds Market by Country
6.6 LAMEA FinTech Companies Market by Country
Chapter 7. LAMEA Generative AI In Financial Services Market by Application
7.1 LAMEA Risk Management Market by Country
7.2 LAMEA Fraud Detection Market by Country
7.3 LAMEA Credit Scoring Market by Country
7.4 LAMEA Forecasting & Reporting Market by Country
7.5 LAMEA Customer Service & Chatbots Market by Country
Chapter 8. LAMEA Generative AI In Financial Services Market by Country
8.1 Brazil Generative AI In Financial Services Market
8.1.1 Brazil Generative AI In Financial Services Market by Deployment
8.1.2 Brazil Generative AI In Financial Services Market by End User
8.1.3 Brazil Generative AI In Financial Services Market by Application
8.2 Argentina Generative AI In Financial Services Market
8.2.1 Argentina Generative AI In Financial Services Market by Deployment
8.2.2 Argentina Generative AI In Financial Services Market by End User
8.2.3 Argentina Generative AI In Financial Services Market by Application
8.3 UAE Generative AI In Financial Services Market
8.3.1 UAE Generative AI In Financial Services Market by Deployment
8.3.2 UAE Generative AI In Financial Services Market by End User
8.3.3 UAE Generative AI In Financial Services Market by Application
8.4 Saudi Arabia Generative AI In Financial Services Market
8.4.1 Saudi Arabia Generative AI In Financial Services Market by Deployment
8.4.2 Saudi Arabia Generative AI In Financial Services Market by End User
8.4.3 Saudi Arabia Generative AI In Financial Services Market by Application
8.5 South Africa Generative AI In Financial Services Market
8.5.1 South Africa Generative AI In Financial Services Market by Deployment
8.5.2 South Africa Generative AI In Financial Services Market by End User
8.5.3 South Africa Generative AI In Financial Services Market by Application
8.6 Nigeria Generative AI In Financial Services Market
8.6.1 Nigeria Generative AI In Financial Services Market by Deployment
8.6.2 Nigeria Generative AI In Financial Services Market by End User
8.6.3 Nigeria Generative AI In Financial Services Market by Application
8.7 Rest of LAMEA Generative AI In Financial Services Market
8.7.1 Rest of LAMEA Generative AI In Financial Services Market by Deployment
8.7.2 Rest of LAMEA Generative AI In Financial Services Market by End User
8.7.3 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

Companies Mentioned

Some of the key companies in the LAMEA Generative AI In Financial Services Market include:
  • Amazon Web Services, Inc.
  • Google LLC
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Salesforce, Inc.
  • OpenAI, LLC
  • SAP SE
  • Oracle Corporation
  • Accenture PLC

Methodology

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