The Latin America, Middle East and Africa Artificial Intelligence In Cybersecurity Market would witness market growth of 28.1% CAGR during the forecast period (2022-2028).
AI-based cybersecurity solutions may offer the most recent information on both general and industry-specific risks, helping businesses to better prioritize important decisions based not just on what could be utilized to attack enterprise systems but also on what is most likely to do so. Artificial intelligence in cybersecurity has accelerated cyber analysts' productivity and enabled a quicker reaction to intrusions.
The management of vulnerabilities, the detection of threats, and the improvement of network security are likely to call on AI. As a result, during the assessment period, the emphasis on machine learning, natural language processing, deep learning, as well as neural networks might gain ground. In order to manage transactions, logs, or real-time data and identify dangers, deep learning has grown more popular.
In order to manage logs, transactions, and real-time data & identify dangers, deep learning has grown more popular. AI is highly required to safeguard on-premises architecture and cloud services, as well as to identify unusual user behavior. The value of natural language processing may continue to encourage the adoption of AI technologies online.
These complex issues affect all government ministries, their agencies, and contractors, as well as provincial and municipal government. In South Africa's example, the Ministry of State Security directed the implementation of the National Cybersecurity Policy Framework (NCPF), which was the government's response in 2015. The Information Regulator was established by the Protection of Personal Information (POPI) Act of 2013 to protect data privacy.
The Brazil market dominated the LAMEA Artificial Intelligence In Cybersecurity Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $1,153.3 million by 2028. The Argentina market is experiencing a CAGR of 28.8% during (2022-2028). Additionally, The UAE market would showcase a CAGR of 27.8% during (2022-2028).
Based on Offering, the market is segmented into Services, Hardware, and Software. Based on Vertical, the market is segmented into Enterprise, BFSI, Retail, Government & Defense, Healthcare, Manufacturing, and Others. Based on Application, the market is segmented into Fraud Detection/Anti-Fraud & Threat Intelligence, Identity & Access Management, Risk & Compliance Management, Data Loss Prevention, and Unified Threat Management & Others. Based on Type, the market is segmented into Network Security, Endpoint Security, Vertical Security, and Cloud Security. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), and Context-aware Computing. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Amazon Web Services, Inc., FireEye, Inc., BlackBerry Limited, Fortinet, Inc., Intel Corporation, RELX PLC, Micron Technology, Inc., Acalvio Technologies, Inc., and Darktrace Holdings Limited.
AI-based cybersecurity solutions may offer the most recent information on both general and industry-specific risks, helping businesses to better prioritize important decisions based not just on what could be utilized to attack enterprise systems but also on what is most likely to do so. Artificial intelligence in cybersecurity has accelerated cyber analysts' productivity and enabled a quicker reaction to intrusions.
The management of vulnerabilities, the detection of threats, and the improvement of network security are likely to call on AI. As a result, during the assessment period, the emphasis on machine learning, natural language processing, deep learning, as well as neural networks might gain ground. In order to manage transactions, logs, or real-time data and identify dangers, deep learning has grown more popular.
In order to manage logs, transactions, and real-time data & identify dangers, deep learning has grown more popular. AI is highly required to safeguard on-premises architecture and cloud services, as well as to identify unusual user behavior. The value of natural language processing may continue to encourage the adoption of AI technologies online.
These complex issues affect all government ministries, their agencies, and contractors, as well as provincial and municipal government. In South Africa's example, the Ministry of State Security directed the implementation of the National Cybersecurity Policy Framework (NCPF), which was the government's response in 2015. The Information Regulator was established by the Protection of Personal Information (POPI) Act of 2013 to protect data privacy.
The Brazil market dominated the LAMEA Artificial Intelligence In Cybersecurity Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $1,153.3 million by 2028. The Argentina market is experiencing a CAGR of 28.8% during (2022-2028). Additionally, The UAE market would showcase a CAGR of 27.8% during (2022-2028).
Based on Offering, the market is segmented into Services, Hardware, and Software. Based on Vertical, the market is segmented into Enterprise, BFSI, Retail, Government & Defense, Healthcare, Manufacturing, and Others. Based on Application, the market is segmented into Fraud Detection/Anti-Fraud & Threat Intelligence, Identity & Access Management, Risk & Compliance Management, Data Loss Prevention, and Unified Threat Management & Others. Based on Type, the market is segmented into Network Security, Endpoint Security, Vertical Security, and Cloud Security. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), and Context-aware Computing. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Amazon Web Services, Inc., FireEye, Inc., BlackBerry Limited, Fortinet, Inc., Intel Corporation, RELX PLC, Micron Technology, Inc., Acalvio Technologies, Inc., and Darktrace Holdings Limited.
Scope of the Study
Market Segments Covered in the Report:
By Offering
- Services
- Hardware
- Software
By Vertical
- Enterprise
- BFSI
- Retail
- Government & Defense
- Healthcare
- Manufacturing
- Others
By Application
- Fraud Detection/Anti-Fraud & Threat Intelligence
- Identity & Access Management
- Risk & Compliance Management
- Data Loss Prevention
- Unified Threat Management & Others
By Type
- Network Security
- Endpoint Security
- Vertical Security
- Cloud Security
By Technology
- Machine Learning
- Natural Language Processing (NLP)
- Context-aware Computing
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- IBM Corporation
- Amazon Web Services, Inc.
- FireEye, Inc.
- BlackBerry Limited
- Fortinet, Inc.
- Intel Corporation
- RELX PLC
- Micron Technology, Inc.
- Acalvio Technologies, Inc.
- Darktrace Holdings Limited
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Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. LAMEA Artificial Intelligence In Cybersecurity Market by Offering
Chapter 5. LAMEA Artificial Intelligence In Cybersecurity Market by Vertical
Chapter 6. LAMEA Artificial Intelligence In Cybersecurity Market by Application
Chapter 7. LAMEA Artificial Intelligence In Cybersecurity Market by Type
Chapter 8. LAMEA Artificial Intelligence In Cybersecurity Market by Technology
Chapter 9. LAMEA Artificial Intelligence In Cybersecurity Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- IBM Corporation
- Amazon Web Services, Inc.
- FireEye, Inc.
- BlackBerry Limited
- Fortinet, Inc.
- Intel Corporation
- RELX PLC
- Micron Technology, Inc.
- Acalvio Technologies, Inc.
- Darktrace Holdings Limited
Methodology
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