The Latin America, Middle East and Africa Anomaly Detection Market should witness market growth of 20.4% CAGR during the forecast period (2023-2030).
The frequency of cyberattacks against connected vehicles is rising. The Anomaly Detection System (ADS) uses cutting-edge technologies to safeguard the automotive industry. For vehicle operation, it is a complete security solution. Image processing and machine learning techniques are utilized to find irregularities in vehicle movement.
Examples of these abnormalities include standing still and moving against the flow. Because of this characteristic, the results are more resistant to changes in environmental and operational circumstances. The ADS uses cutting-edge technologies to alert users to any possible or existing hazards to the OT network.
Digital payments have fundamentally changed how businesses and customers transfer value, replacing checks, physical cards, and money. Fundamental conditions for commerce, payments, and finance include identity, security, and trust, particularly in a digitized economy. Companies are now better able to comprehend the causes of rapid changes in consumer behaviour because of the development of AI technology, machine learning, and its growing usage. During the anticipated timeframe, these elements should accelerate market expansion.
The information and communications technology (ICT) sector in South Africa is among the biggest in all of Africa. A significant portion of the country's GDP is contributed by its highly developed and advanced ICT and electronics industry. New fixed and wireless communication networks have been set up recently throughout the continent, and most of those networks were supplied by South African enterprises and locally based subsidiaries of multinational organizations. The region produces a significant volume of data, so there is a rising demand for a novel approach to analysing this data. The region's telecom, defence, and government industries face increasing cybersecurity risks due to the region's digital progress. Thus, this region has tremendous potential opportunities for the market.
The Brazil market dominated the LAMEA Anomaly Detection Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $283.3 million by 2030. The Argentina market is registering a CAGR of 21.1% during (2023-2030). Additionally, The UAE market would showcase a CAGR of 20.1% during (2023-2030).
Based on Deployment, the market is segmented into On-premise, and Cloud. Based on Technology, the market is segmented into Big Data Analytics, Business Intelligence & Data Mining, and Machine Learning & Artificial Intelligence. Based on Component, the market is segmented into Solution (Network Behavior, and User Behavior), and Services. Based on End-Use, the market is segmented into BFSI, Government & Defense, IT & Telecom, Healthcare, Manufacturing, Retail, and Others. 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 Amazon Web Services, Inc., Broadcom, Inc., Cisco Systems, Inc., Dell Technologies, Inc., Dynatrace, Inc., Happiest Minds Technologies Limited, Hewlett Packard Enterprise Company, IBM Corporation, Microsoft Corporation and SAS Institute, Inc.
The frequency of cyberattacks against connected vehicles is rising. The Anomaly Detection System (ADS) uses cutting-edge technologies to safeguard the automotive industry. For vehicle operation, it is a complete security solution. Image processing and machine learning techniques are utilized to find irregularities in vehicle movement.
Examples of these abnormalities include standing still and moving against the flow. Because of this characteristic, the results are more resistant to changes in environmental and operational circumstances. The ADS uses cutting-edge technologies to alert users to any possible or existing hazards to the OT network.
Digital payments have fundamentally changed how businesses and customers transfer value, replacing checks, physical cards, and money. Fundamental conditions for commerce, payments, and finance include identity, security, and trust, particularly in a digitized economy. Companies are now better able to comprehend the causes of rapid changes in consumer behaviour because of the development of AI technology, machine learning, and its growing usage. During the anticipated timeframe, these elements should accelerate market expansion.
The information and communications technology (ICT) sector in South Africa is among the biggest in all of Africa. A significant portion of the country's GDP is contributed by its highly developed and advanced ICT and electronics industry. New fixed and wireless communication networks have been set up recently throughout the continent, and most of those networks were supplied by South African enterprises and locally based subsidiaries of multinational organizations. The region produces a significant volume of data, so there is a rising demand for a novel approach to analysing this data. The region's telecom, defence, and government industries face increasing cybersecurity risks due to the region's digital progress. Thus, this region has tremendous potential opportunities for the market.
The Brazil market dominated the LAMEA Anomaly Detection Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $283.3 million by 2030. The Argentina market is registering a CAGR of 21.1% during (2023-2030). Additionally, The UAE market would showcase a CAGR of 20.1% during (2023-2030).
Based on Deployment, the market is segmented into On-premise, and Cloud. Based on Technology, the market is segmented into Big Data Analytics, Business Intelligence & Data Mining, and Machine Learning & Artificial Intelligence. Based on Component, the market is segmented into Solution (Network Behavior, and User Behavior), and Services. Based on End-Use, the market is segmented into BFSI, Government & Defense, IT & Telecom, Healthcare, Manufacturing, Retail, and Others. 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 Amazon Web Services, Inc., Broadcom, Inc., Cisco Systems, Inc., Dell Technologies, Inc., Dynatrace, Inc., Happiest Minds Technologies Limited, Hewlett Packard Enterprise Company, IBM Corporation, Microsoft Corporation and SAS Institute, Inc.
Scope of the Study
By Deployment
- On-premise
- Cloud
By Technology
- Big Data Analytics
- Business Intelligence & Data Mining
- Machine Learning & Artificial Intelligence
By Component
- Solution
- Network Behavior
- User Behavior
- Services
By End-Use
- BFSI
- Government & Defense
- IT & Telecom
- Healthcare
- Manufacturing
- Retail
- Others
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- Amazon Web Services, Inc.
- Broadcom, Inc.
- Cisco Systems, Inc.
- Dell Technologies, Inc.
- Dynatrace, Inc.
- Happiest Minds Technologies Limited
- Hewlett Packard Enterprise Company
- IBM Corporation
- Microsoft Corporation
- SAS Institute, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
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 Anomaly Detection Market by Deployment
Chapter 6. LAMEA Anomaly Detection Market by Technology
Chapter 7. LAMEA Anomaly Detection Market by Component
Chapter 8. LAMEA Anomaly Detection Market by End-use
Chapter 9. LAMEA Anomaly Detection Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- Amazon Web Services, Inc.
- Broadcom, Inc.
- Cisco Systems, Inc.
- Dell Technologies, Inc.
- Dynatrace, Inc.
- Happiest Minds Technologies Limited
- Hewlett Packard Enterprise Company
- IBM Corporation
- Microsoft Corporation
- SAS Institute, Inc.
Methodology
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