The Latin America, Middle East and Africa IoT Security Market is expected to witness market growth of 28.2% CAGR during the forecast period (2025-2032).
The Brazil market dominated the LAMEA IoT Security Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $2.89 billion by 2032. The Argentina market is expected to witness a CAGR of 29.2% during 2025-2032. Additionally, the UAE market would register a CAGR of 26.8% during 2025-2032.
Artificial Intelligence (AI) and Machine Learning (ML) are also instrumental in enhancing the security of IoT by enabling real-time threat detection, anomaly recognition, and automated responses. Unlike traditional reactive systems, AI- and ML-driven security solutions can proactively analyze massive streams of IoT data, identify unusual behavior, and take preventive action before damage occurs. This is crucial in large-scale or mission-critical environments - like healthcare or smart cities - where manual monitoring isn't feasible. For example, in healthcare settings, AI can monitor connected devices like insulin pumps or pacemakers to ensure they function safely and within expected parameters, minimizing risks to patient safety.
Major tech companies are already integrating AI and ML into their IoT security platforms. IBM's QRadar, paired with Watson AI, helps detect and respond to threats across complex IoT networks. Cisco SecureX unifies threat detection and automated response in IoT environments using AI-driven insights. Similarly, Microsoft Defender for IoT uses ML algorithms to detect anomalies and deliver threat intelligence in sectors such as manufacturing and energy. As AI and ML continue to evolve - especially with the rise of edge AI - these technologies are set to become the backbone of next-generation IoT security systems.
The government's increasing use of IoT in South Africa for smart governance, utility management, and e-services has triggered growing concerns about cybersecurity vulnerabilities. As cities adopt smart meters, surveillance systems, and traffic optimization solutions, securing these public-facing systems has become imperative. The Department of Communications and Digital Technologies (DCDT) has recognized the urgency of cybersecurity, pushing for updates to South Africa’s Cybercrimes Act and advocating for a National Cybersecurity Policy Framework (NCPF) that includes IoT-specific risk management. Government-led infrastructure digitization and growing citizen engagement in online services catalyze the development of a more structured IoT security environment, especially at the policy and institutional levels. Hence, as the digital transformation wave spreads across Latin America, the Middle East, and Africa, IoT security is no longer an optional add-on - it’s becoming a cornerstone of national and regional resilience.
The Brazil market dominated the LAMEA IoT Security Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $2.89 billion by 2032. The Argentina market is expected to witness a CAGR of 29.2% during 2025-2032. Additionally, the UAE market would register a CAGR of 26.8% during 2025-2032.
Artificial Intelligence (AI) and Machine Learning (ML) are also instrumental in enhancing the security of IoT by enabling real-time threat detection, anomaly recognition, and automated responses. Unlike traditional reactive systems, AI- and ML-driven security solutions can proactively analyze massive streams of IoT data, identify unusual behavior, and take preventive action before damage occurs. This is crucial in large-scale or mission-critical environments - like healthcare or smart cities - where manual monitoring isn't feasible. For example, in healthcare settings, AI can monitor connected devices like insulin pumps or pacemakers to ensure they function safely and within expected parameters, minimizing risks to patient safety.
Major tech companies are already integrating AI and ML into their IoT security platforms. IBM's QRadar, paired with Watson AI, helps detect and respond to threats across complex IoT networks. Cisco SecureX unifies threat detection and automated response in IoT environments using AI-driven insights. Similarly, Microsoft Defender for IoT uses ML algorithms to detect anomalies and deliver threat intelligence in sectors such as manufacturing and energy. As AI and ML continue to evolve - especially with the rise of edge AI - these technologies are set to become the backbone of next-generation IoT security systems.
The government's increasing use of IoT in South Africa for smart governance, utility management, and e-services has triggered growing concerns about cybersecurity vulnerabilities. As cities adopt smart meters, surveillance systems, and traffic optimization solutions, securing these public-facing systems has become imperative. The Department of Communications and Digital Technologies (DCDT) has recognized the urgency of cybersecurity, pushing for updates to South Africa’s Cybercrimes Act and advocating for a National Cybersecurity Policy Framework (NCPF) that includes IoT-specific risk management. Government-led infrastructure digitization and growing citizen engagement in online services catalyze the development of a more structured IoT security environment, especially at the policy and institutional levels. Hence, as the digital transformation wave spreads across Latin America, the Middle East, and Africa, IoT security is no longer an optional add-on - it’s becoming a cornerstone of national and regional resilience.
List of Key Companies Profiled
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Google LLC (Alphabet Inc.)
- IBM Corporation
- Intel Corporation
- Cisco Systems, Inc.
- Thales Group S.A.
- FireEye, Inc.
- Hewlett Packard Enterprise Company
- Check Point Software Technologies Ltd.
Market Report Segmentation
By Component
- Solutions
- Services
By Security Type
- Network Security
- Cloud Security
- Endpoint Security
- Application Security
- Other Security Type
By End-use
- Energy & Utilities
- Manufacturing
- Automotive
- Healthcare
- Transport
- Consumer Electronics
- Other End-use
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. LAMEA IoT Security Market by Component
Chapter 6. LAMEA IoT Security Market by Security Type
Chapter 7. LAMEA IoT Security Market by End-use
Chapter 8. LAMEA IoT Security Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Google LLC (Alphabet Inc.)
- IBM Corporation
- Intel Corporation
- Cisco Systems, Inc.
- Thales Group S.A.
- FireEye, Inc.
- Hewlett Packard Enterprise Company
- Check Point Software Technologies Ltd.
Methodology
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