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LAMEA Artificial Intelligence in BFSI Market Size, Share & Trends Analysis Report By Offering (Software, Hardware, and Services), By Technology, By Solution, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 145 Pages
  • April 2024
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5972511
The Latin America, Middle East, and Africa Artificial Intelligence in BFSI Market would witness market growth of 34.7% CAGR during the forecast period (2024-2031).

The Brazil market dominated the LAMEA Artificial Intelligence in BFSI Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $6,447.6 million by 2031. The Argentina market is showcasing a CAGR of 35.5% during (2024 - 2031). Additionally, The UAE market would register a CAGR of 34.3% during (2024 - 2031).



AI-driven predictive analytics models help BFSI institutions assess credit risk, detect fraudulent activities, and monitor compliance with regulatory requirements. AI algorithms are increasingly utilized in algorithmic trading, and investment decision-making. These algorithms analyze market trends, news sentiment, and macroeconomic indicators to generate trading signals and optimize investment strategies, enhancing portfolio performance and mitigating market risks.

The landscape of AI in BFSI is continually evolving, driven by emerging trends, technological innovations, and evolving customer demands. As AI systems become more sophisticated, there is a growing emphasis on explainability and transparency in AI decision-making processes. Explainable AI (XAI) techniques enable BFSI institutions to understand, interpret, and communicate the rationale behind AI-driven decisions, enhancing trust and accountability.

The rising banking sector in the UAE is driving increased adoption of AI technologies within the BFSI industry, enabling banks to enhance operational efficiency, improve risk management practices, and deliver more personalized services to their customers. According to data from the Government of UAE, at the end of the fourth quarter of 2021, the total assets of banks operating in the UAE increased by 2.3% (q-o-q), reaching AED 3,321.5 billion. During the period between December 2020 and December 2021, the total assets of banks operating in the UAE increased by 4.2% (y-o-y). Gross credit increased by 1.0% (q-o-q), reaching 1,794.0 billion at the end of December 2021. On an annual basis, gross credit increased by 0.8%. Therefore, the growing banking sector in LAMEA will assist in the growth of the regional market.

Based on Offering, the market is segmented into Software, Hardware, and Services. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision, and Others. Based on Solution, the market is segmented into Chatbots, Fraud Detection & Prevention, Customer Relationship Management, Data Analytics & Prediction, Anti-Money Laundering, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

List of Key Companies Profiled

  • Microsoft Corporation
  • IBM Corporation
  • Palantir Technologies Inc.
  • Salesforce, Inc.
  • SAP SE
  • Baidu, Inc.
  • Google LLC (Alphabet Inc.)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Oracle Corporation
  • Intel Corporation

Market Report Segmentation

By Offering
  • Software
  • Hardware
  • Services
By Technology
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Others
By Solution
  • Chatbots
  • Fraud Detection & Prevention
  • Customer Relationship Management
  • Data Analytics & Prediction
  • Anti-Money Laundering
  • Others
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 Artificial Intelligence in BFSI Market, by Offering
1.4.2 LAMEA Artificial Intelligence in BFSI Market, by Technology
1.4.3 LAMEA Artificial Intelligence in BFSI Market, by Solution
1.4.4 LAMEA Artificial Intelligence 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 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: (Partnership, Collaborations and Agreements: 2021, Jun - 2024, Apr) Leading Players
4.5 Porter’s Five Forces Analysis
Chapter 5. LAMEA Artificial Intelligence in BFSI Market by Offering
5.1 LAMEA Software Market by Country
5.2 LAMEA Hardware Market by Country
5.3 LAMEA Services Market by Country
Chapter 6. LAMEA Artificial Intelligence in BFSI Market by Technology
6.1 LAMEA Machine Learning Market by Country
6.2 LAMEA Natural Language Processing Market by Country
6.3 LAMEA Computer Vision Market by Country
6.4 LAMEA Others Market by Country
Chapter 7. LAMEA Artificial Intelligence in BFSI Market by Solution
7.1 LAMEA Chatbots Market by Country
7.2 LAMEA Fraud Detection & Prevention Market by Country
7.3 LAMEA Customer Relationship Management Market by Country
7.4 LAMEA Data Analytics & Prediction Market by Country
7.5 LAMEA Anti-Money Laundering Market by Country
7.6 LAMEA Others Market by Country
Chapter 8. LAMEA Artificial Intelligence in BFSI Market by Country
8.1 Brazil Artificial Intelligence in BFSI Market
8.1.1 Brazil Artificial Intelligence in BFSI Market by Offering
8.1.2 Brazil Artificial Intelligence in BFSI Market by Technology
8.1.3 Brazil Artificial Intelligence in BFSI Market by Solution
8.2 Argentina Artificial Intelligence in BFSI Market
8.2.1 Argentina Artificial Intelligence in BFSI Market by Offering
8.2.2 Argentina Artificial Intelligence in BFSI Market by Technology
8.2.3 Argentina Artificial Intelligence in BFSI Market by Solution
8.3 UAE Artificial Intelligence in BFSI Market
8.3.1 UAE Artificial Intelligence in BFSI Market by Offering
8.3.2 UAE Artificial Intelligence in BFSI Market by Technology
8.3.3 UAE Artificial Intelligence in BFSI Market by Solution
8.4 Saudi Arabia Artificial Intelligence in BFSI Market
8.4.1 Saudi Arabia Artificial Intelligence in BFSI Market by Offering
8.4.2 Saudi Arabia Artificial Intelligence in BFSI Market by Technology
8.4.3 Saudi Arabia Artificial Intelligence in BFSI Market by Solution
8.5 South Africa Artificial Intelligence in BFSI Market
8.5.1 South Africa Artificial Intelligence in BFSI Market by Offering
8.5.2 South Africa Artificial Intelligence in BFSI Market by Technology
8.5.3 South Africa Artificial Intelligence in BFSI Market by Solution
8.6 Nigeria Artificial Intelligence in BFSI Market
8.6.1 Nigeria Artificial Intelligence in BFSI Market by Offering
8.6.2 Nigeria Artificial Intelligence in BFSI Market by Technology
8.6.3 Nigeria Artificial Intelligence in BFSI Market by Solution
8.7 Rest of LAMEA Artificial Intelligence in BFSI Market
8.7.1 Rest of LAMEA Artificial Intelligence in BFSI Market by Offering
8.7.2 Rest of LAMEA Artificial Intelligence in BFSI Market by Technology
8.7.3 Rest of LAMEA Artificial Intelligence in BFSI Market by Solution
Chapter 9. Company Profiles
9.1 Microsoft Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.6 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:
9.2.5.3 Acquisition and Mergers:
9.2.6 SWOT Analysis
9.3 Palantir Technologies Inc.
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 Salesforce, Inc.
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 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 SAP SE
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Regional Analysis
9.5.4 Research & Development Expense
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.6 SWOT Analysis
9.6 Baidu, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental Analysis
9.6.4 Research & Development Expenses
9.6.5 SWOT Analysis
9.7 Google LLC (Alphabet Inc.)
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research & Development Expense
9.7.5 Recent strategies and developments:
9.7.5.1 Partnerships, Collaborations, and Agreements:
9.7.5.2 Product Launches and Product Expansions:
9.7.6 SWOT Analysis
9.8 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Segmental Analysis
9.8.4 Recent strategies and developments:
9.8.4.1 Partnerships, Collaborations, and Agreements:
9.8.5 SWOT Analysis
9.9 Oracle Corporation
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental and Regional Analysis
9.9.4 Research & Development Expense
9.9.5 Recent strategies and developments:
9.9.5.1 Partnerships, Collaborations, and Agreements:
9.9.5.2 Product Launches and Product Expansions:
9.9.6 SWOT Analysis
9.10. Intel Corporation
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expenses
9.11 SWOT Analysis

Companies Mentioned

  • Microsoft Corporation
  • IBM Corporation
  • Palantir Technologies Inc.
  • Salesforce, Inc.
  • SAP SE
  • Baidu, Inc.
  • Google LLC (Alphabet Inc.)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Oracle Corporation
  • Intel Corporation

Methodology

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