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LAMEA AI and Machine Learning in Business Market Size, Share & Trends Analysis Report By Component (Solution and Services), By Enterprise Size, By Industry Vertical, By Application, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 164 Pages
  • May 2024
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5978603
Description Jump to:
The Latin America, Middle East and Africa AI and Machine Learning in Business Market would witness market growth of 33.7% CAGR during the forecast period (2024-2031).

The Brazil market dominated the LAMEA AI and Machine Learning in Business Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of$26.99 billion by 2031. The Argentina market is capturing a CAGR of 35.1% during (2024 - 2031). Additionally, The UAE market would register a CAGR of 33.3% during (2024 - 2031).



Cost reduction and efficiency gains are additional drivers of market growth. AI and ML technologies enable businesses to automate repetitive tasks, reduce manual errors, and streamline processes. This results in cost savings and operational efficiencies, making AI and ML attractive investments for businesses looking to improve their bottom line. Another way AI and ML drive cost reduction and efficiency is by optimizing resource allocation. Through data analysis, these technologies are capable of determining the optimal utilization of personnel, inventory, and equipment. By optimizing resource allocation, businesses can reduce waste and improve overall efficiency.

Furthermore, AI and ML can help businesses improve customer service, which further leads to cost savings as well as increased efficiency. By analyzing customer data, these technologies can personalize customer interactions, anticipate customer needs, and resolve issues more quickly and effectively. This may result in decreased customer service expenses and increased customer satisfaction.

In the BFSI sector, banks in the UAE are using AI for customer service chatbots, fraud detection, and personalized marketing. For example, Emirates NBD, one of the largest banks in the UAE, has implemented AI-powered chatbots to assist customers with their queries and transactions. Similarly, in healthcare, Saudi Arabia uses AI for telemedicine, disease diagnosis, and personalized medicine. Hospitals like the King Faisal Specialist Hospital and Research Centre are leveraging AI to enhance patient care and treatment outcomes. Therefore, the increasing recognition of the benefits of implementing AI and ML will lead to greater adoption of these technologies in this region, which will drive the market's growth.

Based on Component, the market is segmented into Solution and Services. Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Middle-sized Enterprise. Based on Industry Vertical, the market is segmented into BFSI, IT & Telecom, Retail, Energy Sector & Utilities, Manufacturing & Logistics, Healthcare and Others. Based on Application, the market is segmented into Data Analytics, Predictive Analytics, Cyber Security, Supply Chain & Inventory Management 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

  • NVIDIA Corporation
  • Baidu, Inc.
  • SAP SE
  • Hewlett Packard Enterprise Company
  • Microsoft Corporation
  • IBM Corporation
  • Intel Corporation
  • Salesforce, Inc.
  • Google LLC (Alphabet Inc.)
  • Amazon.com, Inc.

Market Report Segmentation

By Component

  • Solution
  • Services

By Enterprise Size

  • Large Enterprise
  • Small & Middle-sized Enterprise

By Industry Vertical

  • BFSI
  • IT & Telecom
  • Retail
  • Energy Sector & Utilities
  • Manufacturing & Logistics
  • Healthcare
  • Others

By Application

  • Data Analytics
  • Predictive Analytics
  • Cyber Security
  • Supply Chain & Inventory Management
  • 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 AI and Machine Learning in Business Market, by Component
1.4.2 LAMEA AI and Machine Learning in Business Market, by Enterprise Size
1.4.3 LAMEA AI and Machine Learning in Business Market, by Industry Vertical
1.4.4 LAMEA AI and Machine Learning in Business Market, by Application
1.4.5 LAMEA AI and Machine Learning in Business 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 Top Winning Strategies
4.3.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.3.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2021, May - 2024, Apr) Leading Players
4.4 Porter Five Forces Analysis
Chapter 5. LAMEA AI and Machine Learning in Business Market by Component
5.1 LAMEA Solution Market by Country
5.2 LAMEA Services Market by Country
Chapter 6. LAMEA AI and Machine Learning in Business Market by Enterprise Size
6.1 LAMEA Large Enterprise Market by Country
6.2 LAMEA Small & Middle-sized Enterprise Market by Country
Chapter 7. LAMEA AI and Machine Learning in Business Market by Industry Vertical
7.1 LAMEA BFSI Market by Country
7.2 LAMEA IT & Telecom Market by Country
7.3 LAMEA Retail Market by Country
7.4 LAMEA Energy Sector & Utilities Market by Country
7.5 LAMEA Manufacturing & Logistics Market by Country
7.6 LAMEA Healthcare Market by Country
7.7 LAMEA Others Market by Country
Chapter 8. LAMEA AI and Machine Learning in Business Market by Application
8.1 LAMEA Data Analytics Market by Country
8.2 LAMEA Predictive Analytics Market by Country
8.3 LAMEA Cyber Security Market by Country
8.4 LAMEA Supply Chain & Inventory Management Market by Country
8.5 LAMEA Others Market by Country
Chapter 9. LAMEA AI and Machine Learning in Business Market by Country
9.1 Brazil AI and Machine Learning in Business Market
9.1.1 Brazil AI and Machine Learning in Business Market by Component
9.1.2 Brazil AI and Machine Learning in Business Market by Enterprise Size
9.1.3 Brazil AI and Machine Learning in Business Market by Industry Vertical
9.1.4 Brazil AI and Machine Learning in Business Market by Application
9.2 Argentina AI and Machine Learning in Business Market
9.2.1 Argentina AI and Machine Learning in Business Market by Component
9.2.2 Argentina AI and Machine Learning in Business Market by Enterprise Size
9.2.3 Argentina AI and Machine Learning in Business Market by Industry Vertical
9.2.4 Argentina AI and Machine Learning in Business Market by Application
9.3 UAE AI and Machine Learning in Business Market
9.3.1 UAE AI and Machine Learning in Business Market by Component
9.3.2 UAE AI and Machine Learning in Business Market by Enterprise Size
9.3.3 UAE AI and Machine Learning in Business Market by Industry Vertical
9.3.4 UAE AI and Machine Learning in Business Market by Application
9.4 Saudi Arabia AI and Machine Learning in Business Market
9.4.1 Saudi Arabia AI and Machine Learning in Business Market by Component
9.4.2 Saudi Arabia AI and Machine Learning in Business Market by Enterprise Size
9.4.3 Saudi Arabia AI and Machine Learning in Business Market by Industry Vertical
9.4.4 Saudi Arabia AI and Machine Learning in Business Market by Application
9.5 South Africa AI and Machine Learning in Business Market
9.5.1 South Africa AI and Machine Learning in Business Market by Component
9.5.2 South Africa AI and Machine Learning in Business Market by Enterprise Size
9.5.3 South Africa AI and Machine Learning in Business Market by Industry Vertical
9.5.4 South Africa AI and Machine Learning in Business Market by Application
9.6 Nigeria AI and Machine Learning in Business Market
9.6.1 Nigeria AI and Machine Learning in Business Market by Component
9.6.2 Nigeria AI and Machine Learning in Business Market by Enterprise Size
9.6.3 Nigeria AI and Machine Learning in Business Market by Industry Vertical
9.6.4 Nigeria AI and Machine Learning in Business Market by Application
9.7 Rest of LAMEA AI and Machine Learning in Business Market
9.7.1 Rest of LAMEA AI and Machine Learning in Business Market by Component
9.7.2 Rest of LAMEA AI and Machine Learning in Business Market by Enterprise Size
9.7.3 Rest of LAMEA AI and Machine Learning in Business Market by Industry Vertical
9.7.4 Rest of LAMEA AI and Machine Learning in Business Market by Application
Chapter 10. Company Profiles
10.1 NVIDIA Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Product Launches and Product Expansions:
10.1.6 SWOT Analysis
10.2 Google LLC (Alphabet Inc.)
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expense
10.2.5 Recent strategies and developments:
10.2.5.1 Partnerships, Collaborations, and Agreements:
10.2.5.2 Product Launches and Product Expansions:
10.2.5.3 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 Baidu, Inc.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.5.2 Product Launches and Product Expansions:
10.3.6 SWOT Analysis
10.4 SAP SE
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments:
10.4.5.1 Partnerships, Collaborations, and Agreements:
10.4.6 SWOT Analysis
10.5 Hewlett Packard Enterprise Company
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Partnerships, Collaborations, and Agreements:
10.5.5.2 Product Launches and Product Expansions:
10.5.5.3 Acquisition and Mergers:
10.5.6 SWOT Analysis
10.6 Microsoft Corporation
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expenses
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.5.2 Acquisition and Mergers:
10.6.6 SWOT Analysis
10.7 IBM Corporation
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Regional & Segmental Analysis
10.7.4 Research & Development Expenses
10.7.5 Recent strategies and developments:
10.7.5.1 Product Launches and Product Expansions:
10.7.5.2 Acquisition and Mergers:
10.7.5.3 Geographical Expansions:
10.7.6 SWOT Analysis
10.8 Intel Corporation
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 Recent strategies and developments:
10.8.5.1 Partnerships, Collaborations, and Agreements:
10.8.5.2 Acquisition and Mergers:
10.8.6 SWOT Analysis
10.9 Salesforce, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Regional Analysis
10.9.4 Research & Development Expenses
10.9.5 Recent strategies and developments:
10.9.5.1 Partnerships, Collaborations, and Agreements:
10.9.5.2 Product Launches and Product Expansions:
10.9.5.3 Acquisition and Mergers:
10.9.6 SWOT Analysis
10.10. Amazon.com, Inc.
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental Analysis
10.10.4 Recent strategies and developments:
10.10.4.1 Partnerships, Collaborations, and Agreements:
10.10.5 SWOT Analysis

Companies Mentioned

  • NVIDIA Corporation
  • Baidu, Inc.
  • SAP SE
  • Hewlett Packard Enterprise Company
  • Microsoft Corporation
  • IBM Corporation
  • Intel Corporation
  • Salesforce, Inc.
  • Google LLC (Alphabet Inc.)
  • Amazon.com, Inc.

Methodology

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