The Latin America, Middle East and Africa Edge AI in Industrial Automation Market is expected to witness market growth of 27.4% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA Edge AI in Industrial Automation Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $4.56 billion by 2031. The Argentina market is showcasing a CAGR of 28.4% during 2024-2031. Additionally, the UAE market would register a CAGR of 27% during 2024-2031.
Another compelling factor driving the adoption of edge AI in industrial automation is the enhanced data privacy and security it offers. Industrial data is often sensitive, containing valuable intellectual property, production details, or operational parameters that, if compromised, could lead to significant financial losses or safety hazards. Unlike cloud-based AI solutions, which require data to be transmitted over the internet to a central location for analysis, edge AI processes data locally on the edge device.
Additionally, the risk of data breaches is mitigated by this local processing, which also addresses concerns about data sovereignty and conformance with privacy regulations. The decentralized nature of edge AI systems makes them less vulnerable to large-scale attacks, providing an additional layer of security in industrial environments where cybersecurity is a growing concern.
Countries like the UAE, Saudi Arabia, and South Africa lead the way with government-backed initiatives supporting digital transformation and AI technology integration in this region. Through initiatives like the Presidential Commission on the Fourth Industrial Revolution, the South African government aims to foster the integration of advanced technologies, including AI, into the retail industry to boost productivity and create a more efficient supply chain. Edge AI is vital in providing real-time insights that allow retailers to make data-driven decisions regarding stock management and customer preferences. The growing number of retail establishments adopting smart technologies contributes to the increased deployment of edge AI to support operational efficiency and customer experience.
The Brazil market dominated the LAMEA Edge AI in Industrial Automation Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $4.56 billion by 2031. The Argentina market is showcasing a CAGR of 28.4% during 2024-2031. Additionally, the UAE market would register a CAGR of 27% during 2024-2031.
Another compelling factor driving the adoption of edge AI in industrial automation is the enhanced data privacy and security it offers. Industrial data is often sensitive, containing valuable intellectual property, production details, or operational parameters that, if compromised, could lead to significant financial losses or safety hazards. Unlike cloud-based AI solutions, which require data to be transmitted over the internet to a central location for analysis, edge AI processes data locally on the edge device.
Additionally, the risk of data breaches is mitigated by this local processing, which also addresses concerns about data sovereignty and conformance with privacy regulations. The decentralized nature of edge AI systems makes them less vulnerable to large-scale attacks, providing an additional layer of security in industrial environments where cybersecurity is a growing concern.
Countries like the UAE, Saudi Arabia, and South Africa lead the way with government-backed initiatives supporting digital transformation and AI technology integration in this region. Through initiatives like the Presidential Commission on the Fourth Industrial Revolution, the South African government aims to foster the integration of advanced technologies, including AI, into the retail industry to boost productivity and create a more efficient supply chain. Edge AI is vital in providing real-time insights that allow retailers to make data-driven decisions regarding stock management and customer preferences. The growing number of retail establishments adopting smart technologies contributes to the increased deployment of edge AI to support operational efficiency and customer experience.
List of Key Companies Profiled
- Microsoft Corporation
- IBM Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- NVIDIA Corporation
- Google LLC (Alphabet Inc.)
- Synaptics Incorporated
- Nutanix, Inc.
- Adlink Technology, Inc.
- Gorilla Technology Group Inc.
- Oracle Corporation
Market Report Segmentation
By Organization Size- Large Enterprises
- Small & Medium Enterprises
- On-premise
- Cloud
- Hardware
- Edge Devices
- Sensors
- Gateways
- Software
- Edge Platforms
- AI Algorithms
- Machine Learning Models
- Services
- Deployment
- Integration
- Consulting
- Manufacturing
- Energy & Utilities
- Oil & Gas
- Automotive
- Logistics & Transportation
- Healthcare
- Other End-Uses
- Predictive Maintenance
- Quality Control & Inspection
- Process Optimization
- Anomaly Detection
- Energy Efficiency Management
- Other Solutions
- 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 Edge AI in Industrial Automation Market by Organization Size
Chapter 6. LAMEA Edge AI in Industrial Automation Market by Deployment Type
Chapter 7. LAMEA Edge AI in Industrial Automation Market by Component
Chapter 8. LAMEA Edge AI in Industrial Automation Market by End-Use
Chapter 9. LAMEA Edge AI in Industrial Automation Market by Solutions
Chapter 10. LAMEA Edge AI in Industrial Automation Market by Country
Chapter 11. Company Profiles
Companies Mentioned
Some of the key companies profiled in this LAMEA Edge AI in Industrial Automation Market include:- Microsoft Corporation
- IBM Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- NVIDIA Corporation
- Google LLC (Alphabet Inc.)
- Synaptics Incorporated
- Nutanix, Inc.
- Adlink Technology, Inc.
- Gorilla Technology Group Inc.
- Oracle Corporation
Methodology
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