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LAMEA Agentic AI in Cybersecurity Market Size, Share & Industry Analysis Report by Component, Application, Deployment, End Use, and Country with Growth Forecasts, 2025-2032

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    Report

  • 193 Pages
  • September 2025
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6176426
The Latin America, Middle East and Africa Agentic AI In Cybersecurity Market is expected to witness market growth of 35.2% CAGR during the forecast period (2025-2032).

The Brazil market dominated the LAMEA Agentic AI In Cybersecurity Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of USD 5.87 billion by 2032. The Argentina market is showcasing a CAGR of 36.8% during 2025-2032. Additionally, the UAE market would register a CAGR of 33.9% during 2025-2032. The Brazil and UAE led the LAMEA Agentic AI In Cybersecurity Market by Country with a market share of 27.8% and 14.1% in 2024.



The LAMEA region, which includes Latin America, the Middle East, and Africa, has taken a different path in using agentic AI for cybersecurity. These self-driving systems can plan, think, and act to find and fix threats. They can help with problems in the region like cybercrime, protecting critical infrastructure, and a lack of skilled workers. The financial and telecom industries in Latin America started out with rule-based detection, but now they are testing fraud detection and automated vulnerability scanning. The Middle East has moved faster, embedding explainable and sovereign AI into national security strategies, thanks to investments in smart cities and energy. Africa's adoption is slow but important, thanks to mobile banking, fintech, and government portals that benefit from automation in a place where there isn't much cybersecurity knowledge.

Heavy use of agentic AI to protect important infrastructure is one of the most important trends. This includes energy companies in the Middle East, banks in Latin America, and mobile networks in Africa. Governments stress sovereignty and trust, so they want solutions that are clear, can be checked, and are hosted locally. Multi-agent ecosystems are getting bigger, with agents that are good at things like stopping phishing, finding fraud, and protecting against ransomware. This makes it easy to connect them to different types of technology. To meet compliance and cultural needs, market leaders use phased deployment, governance-by-design, and localization. The competition is made up of global cloud giants that offer integrated platforms, regional vendors that know a lot about the area, and startups that are coming up with new ways to make things easy to understand and deploy quickly. All of this is made possible by strong government involvement and policy-driven procurement.

End Use Outlook

Based on End Use, the market is segmented into IT & Telecom, BFSI, Government & Defense, Healthcare, Retail & E-commerce, and Other End Use. Among various Brazil Agentic AI In Cybersecurity Market by End Use; The BFSI market achieved a market size of USD $142 Million in 2024 and is expected to grow at a CAGR of 32.4 % during the forecast period. The Retail & E-commerce market is predicted to experience a CAGR of 34.3% throughout the forecast period from (2025 - 2032).

Component Outlook

Based on Component, the market is segmented into Solution, and Services. The Solution market segment dominated the Saudi Arabia Agentic AI In Cybersecurity Market by Component is expected to grow at a CAGR of 35.4 % during the forecast period thereby continuing its dominance until 2032. Also, the Services market is anticipated to grow as a CAGR of 36.5 % during the forecast period during 2025-2032.



Country Outlook

The Brazilian agentic AI cybersecurity market is moving away from isolated pilots and toward integrated, multi-agent platforms that can automatically find and respond to threats and control policies across complicated hybrid networks. Banks, fintechs, and e-commerce companies are the first to adopt it to fight fraud and account takeovers. Energy, healthcare, and government agencies follow to speed up their response times. Vendors stress explainability, quick decisions, and smooth integration with the security operations center (SOC). They use specialized agents to protect against identity threats, cloud posture, and edge/IoT security. There are a lot of competitors, including global hyperscalers, AI-first startups, and local MSSPs. They all try to stand out by offering Portuguese-language threat precision, adversarial robustness, and auditable actions. Some of the main problems are a lack of skills in model governance, data quality that isn't always good, and slow public procurement. But Brazil is becoming the leader in Latin America for scalable, compliant, outcome-driven agentic AI in cybersecurity thanks to regulatory support, red-team testing, and synthetic data projects.

List of Key Companies Profiled

  • CrowdStrike Holdings, Inc.
  • Palo Alto Networks, Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Darktrace Holdings Limited
  • Google LLC
  • Anthropic PBC
  • Salesforce, Inc.
  • NVIDIA Corporation
  • SentinelOne, Inc.

Market Report Segmentation

By Component

  • Solution
  • Services

By Application

  • Threat Detection & Response
  • Vulnerability Management
  • Other Application

By Deployment

  • Cloud
  • On-premises

By End Use

  • IT & Telecom
  • BFSI
  • Government & Defense
  • Healthcare
  • Retail & E-commerce
  • Other End Use

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 Agentic AI In Cybersecurity Market, by Component
1.4.2 LAMEA Agentic AI In Cybersecurity Market, by Application
1.4.3 LAMEA Agentic AI In Cybersecurity Market, by Deployment
1.4.4 LAMEA Agentic AI In Cybersecurity Market, by End Use
1.4.5 LAMEA Agentic AI In Cybersecurity 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. Market Trends - LAMEA Agentic AI In Cybersecurity MarketChapter 5. State of Competition - LAMEA Agentic AI In Cybersecurity MarketChapter 6. Value Chain Analysis of Agentic AI In Cybersecurity MarketChapter 7. Product Life Cycle - Agentic AI In Cybersecurity MarketChapter 8. Market Consolidation - Agentic AI in Cybersecurity MarketChapter 9. Key Customer Criteria - Agentic AI In Cybersecurity Market
Chapter 10. Competition Analysis - Global
10.1 The Cardinal Matrix
10.2 Recent Industry Wide Strategic Developments
10.2.1 Partnerships, Collaborations and Agreements
10.2.2 Product Launches and Product Expansions
10.2.3 Acquisition and Mergers
10.3 Market Share Analysis, 2024
10.4 Top Winning Strategies
10.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
10.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2024, Oct - 2025, Aug) Leading Players
10.5 Porter Five Forces Analysis
Chapter 11. LAMEA Agentic AI In Cybersecurity Market by Component
11.1 LAMEA Solution Market by Country
11.2 LAMEA Services Market by Country
Chapter 12. LAMEA Agentic AI In Cybersecurity Market by Application
12.1 LAMEA Threat Detection & Response Market by Country
12.2 LAMEA Vulnerability Management Market by Country
12.3 LAMEA Other Application Market by Country
Chapter 13. LAMEA Agentic AI In Cybersecurity Market by Deployment
13.1 LAMEA Cloud Market by Country
13.2 LAMEA On-premises Market by Country
Chapter 14. LAMEA Agentic AI In Cybersecurity Market by End Use
14.1 LAMEA IT & Telecom Market by Country
14.2 LAMEA BFSI Market by Country
14.3 LAMEA Government & Defense Market by Country
14.4 LAMEA Healthcare Market by Country
14.5 LAMEA Retail & E-commerce Market by Country
14.6 LAMEA Other End Use Market by Country
Chapter 15. LAMEA Agentic AI In Cybersecurity Market by Country
15.1 Brazil Agentic AI In Cybersecurity Market
15.1.1 Brazil Agentic AI In Cybersecurity Market by Component
15.1.2 Brazil Agentic AI In Cybersecurity Market by Application
15.1.3 Brazil Agentic AI In Cybersecurity Market by Deployment
15.1.4 Brazil Agentic AI In Cybersecurity Market by End Use
15.2 Argentina Agentic AI In Cybersecurity Market
15.2.1 Argentina Agentic AI In Cybersecurity Market by Component
15.2.2 Argentina Agentic AI In Cybersecurity Market by Application
15.2.3 Argentina Agentic AI In Cybersecurity Market by Deployment
15.2.4 Argentina Agentic AI In Cybersecurity Market by End Use
15.3 UAE Agentic AI In Cybersecurity Market
15.3.1 UAE Agentic AI In Cybersecurity Market by Component
15.3.2 UAE Agentic AI In Cybersecurity Market by Application
15.3.3 UAE Agentic AI In Cybersecurity Market by Deployment
15.3.4 UAE Agentic AI In Cybersecurity Market by End Use
15.4 Saudi Arabia Agentic AI In Cybersecurity Market
15.4.1 Saudi Arabia Agentic AI In Cybersecurity Market by Component
15.4.2 Saudi Arabia Agentic AI In Cybersecurity Market by Application
15.4.3 Saudi Arabia Agentic AI In Cybersecurity Market by Deployment
15.4.4 Saudi Arabia Agentic AI In Cybersecurity Market by End Use
15.5 South Africa Agentic AI In Cybersecurity Market
15.5.1 South Africa Agentic AI In Cybersecurity Market by Component
15.5.2 South Africa Agentic AI In Cybersecurity Market by Application
15.5.3 South Africa Agentic AI In Cybersecurity Market by Deployment
15.5.4 South Africa Agentic AI In Cybersecurity Market by End Use
15.6 Nigeria Agentic AI In Cybersecurity Market
15.6.1 Nigeria Agentic AI In Cybersecurity Market by Component
15.6.2 Nigeria Agentic AI In Cybersecurity Market by Application
15.6.3 Nigeria Agentic AI In Cybersecurity Market by Deployment
15.6.4 Nigeria Agentic AI In Cybersecurity Market by End Use
15.7 Rest of LAMEA Agentic AI In Cybersecurity Market
15.7.1 Rest of LAMEA Agentic AI In Cybersecurity Market by Component
15.7.2 Rest of LAMEA Agentic AI In Cybersecurity Market by Application
15.7.3 Rest of LAMEA Agentic AI In Cybersecurity Market by Deployment
15.7.4 Rest of LAMEA Agentic AI In Cybersecurity Market by End Use
Chapter 16. Company Profiles
16.1 Crowdstrike Holdings, Inc.
16.1.1 Company Overview
16.1.2 Financial Analysis
16.1.3 Regional Analysis
16.1.4 Research & Development Expenses
16.1.5 Recent Strategies and Developments
16.1.5.1 Partnerships, Collaborations, and Agreements
16.1.5.2 Product Launches and Product Expansions
16.1.6 SWOT Analysis
16.2 Palo Alto Networks, Inc.
16.2.1 Company Overview
16.2.2 Financial Analysis
16.2.3 Regional Analysis
16.2.4 Research & Development Expense
16.2.5 Recent Strategies and Developments
16.2.5.1 Partnerships, Collaborations, and Agreements
16.2.5.2 Acquisition and Mergers
16.2.6 SWOT Analysis
16.3 Microsoft Corporation
16.3.1 Company Overview
16.3.2 Financial Analysis
16.3.3 Segmental and Regional Analysis
16.3.4 Research & Development Expenses
16.3.5 Recent Strategies and Developments
16.3.5.1 Partnerships, Collaborations, and Agreements
16.3.6 SWOT Analysis
16.4 IBM Corporation
16.4.1 Company Overview
16.4.2 Financial Analysis
16.4.3 Regional & Segmental Analysis
16.4.4 Research & Development Expenses
16.4.5 Recent Strategies and Developments
16.4.5.1 Product Launches and Product Expansions
16.4.6 SWOT Analysis
16.5 Darktrace Holdings Limited
16.5.1 Company Overview
16.5.2 Recent Strategies and Developments
16.5.2.1 Product Launches and Product Expansions
16.5.2.2 Acquisition and Mergers
16.6 Google LLC
16.6.1 Company Overview
16.6.2 Financial Analysis
16.6.3 Segmental and Regional Analysis
16.6.4 Research & Development Expenses
16.6.5 Recent Strategies and Developments
16.6.5.1 Product Launches and Product Expansions
16.6.6 SWOT Analysis
16.7 Anthropic PBC
16.7.1 Company Overview
16.8 Salesforce, Inc.
16.8.1 Company Overview
16.8.2 Financial Analysis
16.8.3 Regional Analysis
16.8.4 Research & Development Expenses
16.8.5 SWOT Analysis
16.9 NVIDIA Corporation
16.9.1 Company Overview
16.9.2 Financial Analysis
16.9.3 Segmental and Regional Analysis
16.9.4 Research & Development Expenses
16.9.5 Recent Strategies and Developments
16.9.5.1 Product Launches and Product Expansions
16.9.6 SWOT Analysis
16.10. SentinelOne, Inc.
16.10.1 Company Overview
16.10.2 Recent Strategies and Developments
16.10.2.1 Partnerships, Collaborations, and Agreements
16.10.2.2 Product Launches and Product Expansions
16.10.2.3 Acquisition and Mergers
16.10.3 SWOT Analysis

Companies Mentioned

  • CrowdStrike Holdings, Inc.
  • Palo Alto Networks, Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Darktrace Holdings Limited
  • Google LLC
  • Anthropic PBC
  • Salesforce, Inc.
  • NVIDIA Corporation
  • SentinelOne, Inc.