PUBLISHER: KBV Research | PRODUCT CODE: 1709882
PUBLISHER: KBV Research | PRODUCT CODE: 1709882
The Latin America, Middle East and Africa Cognitive Security Market would witness market growth of 34.0% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA Cognitive Security Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $2,983.8 million by 2031. The Argentina market is exhibitng a CAGR of 34.8% during (2024 - 2031). Additionally, The UAE market would experience a CAGR of 32.8% during (2024 - 2031).
Cyber threats like espionage, data interception, and supply chain vulnerabilities are becoming more prominent, especially in critical sectors like finance, healthcare, and national security. AI-powered cognitive security helps organizations implement Zero Trust architectures, predictive threat intelligence, and automated security responses to counter these risks. With 5G infrastructure supporting smart cities, industrial automation, and public safety systems, ensuring cyber resilience is a top priority. Cognitive security solutions offer proactive defense mechanisms, enabling businesses and governments to safeguard digital communications, prevent cyberattacks, and maintain the integrity of their 5G-enabled operations in an increasingly interconnected world.
The accelerated adoption of blockchain technology and cryptocurrencies has revolutionized finance, supply chain management, and digital identity management by providing decentralized and transparent transaction mechanisms. However, this growth has also introduced new cybersecurity challenges, including fraud, hacking, smart contract vulnerabilities, and cryptojacking. Cybercriminals exploit blockchain weaknesses through phishing attacks, Ponzi schemes, and unauthorized mining activities, compromising users and organizations. AI-driven cognitive security solutions help mitigate these risks by providing real-time fraud detection, transaction monitoring, and anomaly detection to prevent illicit activities and secure digital assets.
The retail sector in Brazil has witnessed a surge in cyber threats, particularly as e-commerce and digital payment adoption continue to grow. The Brazilian government has implemented the Lei Geral de Protecao de Dados (LGPD), a data protection law that requires retail businesses to strengthen cybersecurity measures and deploy AI-driven fraud detection systems. The Central Bank of Brazil has also mandated enhanced security frameworks for retailers adopting Open Banking and instant payment solutions like PIX, making cognitive security solutions essential to prevent cyber fraud, identity theft, and financial data breaches. Additionally, Brazilian retailers leverage AI-powered security tools to monitor online transactions, secure customer data, and prevent account takeover attacks. Therefore, as cyberattacks become more sophisticated, LAMEA nations are expected to increase their investments in cognitive security.
Based on Deployment Mode, the market is segmented into Cloud and On-premise. Based on Component, the market is segmented into Solution (Real-Time Security Analytics & Visualization Platform, Unified Log Manager & Data Catalog, Biometric Recognition, and Other Solution Type) and Services (Managed Service and Professional Service). Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium-Sized Enterprises (SMEs). Based on Application, the market is segmented into Anomaly Detection & Risk Mitigation, Threat Intelligence, Automated Compliance Management, Fraud Detection & Prevention, and Other Application. Based on Industry Vertical, the market is segmented into BFSI, Government & Defense, IT & Telecom, Healthcare & Lifesciences, Retail & eCommerce, Energy & Utilities, Manufacturing, and Other Industry Vertical. 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
LAMEA Cognitive Security Market Report Segmentation
By Deployment Mode
By Component
By Enterprise Size
By Application
By Industry Vertical
By Country