The Latin America, Middle East and Africa Edge AI in Industrial Automation Market would 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 would continue to be a dominant market till 2031; thereby, achieving a market value of $4,562.6 million 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.
Free Valuable Insights: The Worldwide Edge AI in Industrial Automation Market is Projected to reach USD 268.5 Billion by 2031, at a CAGR of 25.4%
Based on Organization Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on Deployment Type, the market is segmented into On-premise, and Cloud. Based on Component, the market is segmented into Hardware (Edge Devices, Sensors, and Gateways), Software (Edge Platforms, AI Algorithms, and Machine Learning Models), and Services (Deployment, Integration, and Consulting). Based on End-Use, the market is segmented into Manufacturing, Energy & Utilities, Oil & Gas, Automotive, Logistics & Transportation, Healthcare, and Other End-Uses. Based on Solutions, the market is segmented into Predictive Maintenance, Quality Control & Inspection, Process Optimization, Anomaly Detection, Energy Efficiency Management, and Other Solutions. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
By Organization Size
By Deployment Type
By Component
By End-Use
By Solutions
By Country
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