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LAMEA Generative AI in BFSI Market Size, Share & Trends Analysis Report By End-User, By Application), By Country and Growth Forecast, 2024 - 2031

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    Report

  • 111 Pages
  • November 2024
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6029158
The Latin America, Middle East and Africa Generative AI in BFSI Market is expected to witness market growth of 34.7% CAGR during the forecast period (2024-2031).

The Brazil market dominated the LAMEA Other Application Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $29.2 Million by 2031. The Argentina market is capturing a CAGR of 36.4% during 2024-2031. Additionally, the UAE market would witness a CAGR of 34.2% during 2024-2031.

The BFSI sector has adopted generative AI as a critical instrument for data-driven decision-making, allowing financial institutions to analyze intricate, large-scale datasets in order to uncover valuable insights. This capability allows firms to make informed and strategic choices, improving their competitive advantage and operational efficiency. For instance, JPMorgan Chase uses AI to analyze trading data and market trends in real-time, allowing it to swiftly adjust asset allocations and optimize client portfolios. Similarly, Allianz leverages AI to assess customer data and economic indicators, refining its insurance offerings based on dynamic risk factors and enhancing product competitiveness and personalization.

Customer service and compliance also benefit from AI-driven data analysis. Bank of America’s AI platform, Erica, analyzes customer spending patterns and account activities, offering tailored budgeting and saving advice to clients, which supports financial health and personalizes the banking experience. Meanwhile, HSBC uses AI for risk assessment and regulatory compliance by processing transaction records to identify potential compliance issues efficiently. These examples from JPMorgan, Allianz, Bank of America, and HSBC illustrate how generative AI revolutionizes the BFSI sector by supporting strategic, data-driven decision-making and enabling institutions to effectively meet customer needs.

Brazil is at the forefront of generative AI adoption in the BFSI sector in Latin America. Financial institutions, including Banco Bradesco and Itaú Unibanco, leverage AI to boost customer engagement, automate routine banking processes, and improve credit risk analysis. The Central Bank of Brazil has introduced Open Banking regulations, facilitating data sharing that enables AI-driven financial products.

Brazil’s focus on digital transformation and the government’s supportive fintech policies are accelerating AI integration across its financial sector, catering to a growing base of digital-first consumers. Therefore, with ongoing regulatory support and technological advancements, the LAMEA region holds considerable potential for further growth in generative AI applications within financial services.

List of Key Companies Profiled

  • Accenture PLC
  • SAS Institute Inc.
  • Google LLC
  • Salesforce, Inc.
  • Microsoft Corporation
  • Adobe, Inc.
  • OpenAI, LLC
  • IBM Corporation
  • NVIDIA Corporation
  • Intel Corporation

Market Report Segmentation

By End-User

  • Banks
  • Insurance Companies
  • Financial Service Providers

By Application

  • Fraud Detection
  • Risk Assessment
  • Customer Experience
  • Algorithmic Trading
  • Other Application

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 BFSI Market, by End-User
1.4.2 LAMEA Generative AI in BFSI Market, by Application
1.4.3 LAMEA Generative AI in BFSI 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 Market Share Analysis, 2023
4.2 Strategies Deployed in Generative AI in BFSI Market
4.3 Porter Five Forces Analysis
Chapter 5. LAMEA Generative AI in BFSI Market by End-User
5.1 LAMEA Banks Market by Country
5.2 LAMEA Insurance Companies Market by Country
5.3 LAMEA Financial Service Providers Market by Country
Chapter 6. LAMEA Generative AI in BFSI Market by Application
6.1 LAMEA Fraud Detection Market by Country
6.2 LAMEA Risk Assessment Market by Country
6.3 LAMEA Customer Experience Market by Country
6.4 LAMEA Algorithmic Trading Market by Country
6.5 LAMEA Other Application Market by Country
Chapter 7. LAMEA Generative AI in BFSI Market by Country
7.1 Brazil Generative AI in BFSI Market
7.1.1 Brazil Generative AI in BFSI Market by End-User
7.1.2 Brazil Generative AI in BFSI Market by Application
7.2 Argentina Generative AI in BFSI Market
7.2.1 Argentina Generative AI in BFSI Market by End-User
7.2.2 Argentina Generative AI in BFSI Market by Application
7.3 UAE Generative AI in BFSI Market
7.3.1 UAE Generative AI in BFSI Market by End-User
7.3.2 UAE Generative AI in BFSI Market by Application
7.4 Saudi Arabia Generative AI in BFSI Market
7.4.1 Saudi Arabia Generative AI in BFSI Market by End-User
7.4.2 Saudi Arabia Generative AI in BFSI Market by Application
7.5 South Africa Generative AI in BFSI Market
7.5.1 South Africa Generative AI in BFSI Market by End-User
7.5.2 South Africa Generative AI in BFSI Market by Application
7.6 Nigeria Generative AI in BFSI Market
7.6.1 Nigeria Generative AI in BFSI Market by End-User
7.6.2 Nigeria Generative AI in BFSI Market by Application
7.7 Rest of LAMEA Generative AI in BFSI Market
7.7.1 Rest of LAMEA Generative AI in BFSI Market by End-User
7.7.2 Rest of LAMEA Generative AI in BFSI Market by Application
Chapter 8. Company Profiles
8.1 Accenture PLC
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental Analysis
8.1.4 Research & Development Expenses
8.1.5 Recent Strategies and Developments
8.1.5.1 Partnerships, Collaborations, and Agreements
8.1.6 SWOT Analysis
8.2 SAS Institute, Inc.
8.2.1 Company Overview
8.2.2 SWOT Analysis
8.3 Google LLC (Alphabet Inc.)
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expense
8.3.5 Recent Strategies and Developments
8.3.5.1 Partnerships, Collaborations, and Agreements
8.3.6 SWOT Analysis
8.4 Salesforce, Inc.
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Regional Analysis
8.4.4 Research & Development Expenses
8.4.5 SWOT Analysis
8.5 Microsoft Corporation
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expenses
8.5.5 Recent Strategies and Developments
8.5.5.1 Product Launches and Product Expansions
8.5.6 SWOT Analysis
8.6 Adobe, Inc.
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Segmental and Regional Analysis
8.6.4 Research & Development Expense
8.6.5 SWOT Analysis
8.7 OpenAI, L.L.C.
8.7.1 Company Overview
8.7.2 SWOT Analysis
8.8 IBM Corporation
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Regional & Segmental Analysis
8.8.4 Research & Development Expenses
8.8.5 SWOT Analysis
8.9 NVIDIA Corporation
8.9.1 Company Overview
8.9.2 Financial Analysis
8.9.3 Segmental and Regional Analysis
8.9.4 Research & Development Expenses
8.9.5 SWOT Analysis
8.10. Intel Corporation
8.10.1 Company Overview
8.10.2 Financial Analysis
8.10.3 Segmental and Regional Analysis
8.10.4 Research & Development Expenses
8.10.5 SWOT Analysis

Companies Mentioned

  • Accenture PLC
  • SAS Institute Inc.
  • Google LLC
  • Salesforce, Inc.
  • Microsoft Corporation
  • Adobe, Inc.
  • OpenAI, LLC
  • IBM Corporation
  • NVIDIA Corporation
  • Intel Corporation

Methodology

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