The Latin America, Middle East and Africa Agentic AI In Cybersecurity Market would 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 would continue to be a dominant market till 2032; thereby, achieving a market value of USD 5,877.7 million 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.
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).
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).
Free Valuable Insights: The Worldwide Agentic AI In Cybersecurity Market is Projected to reach USD 227.74 Billion by 2032, at a CAGR of 34.0%
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.
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