The Asia Pacific Edge AI in Industrial Automation Market would witness market growth of 25.9% CAGR during the forecast period (2024-2031).
The China market dominated the Asia Pacific 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 $27,903.1 million by 2031. The Japan market is registering a CAGR of 25.1% during (2024 - 2031). Additionally, The India market would showcase a CAGR of 26.6% during (2024 - 2031).
One of the most significant advantages of edge AI in industrial automation is the ability to deliver real-time insights and responses. In industrial processes, even a slight delay in response can lead to inefficiencies, product defects, or even dangerous situations. Predictive maintenance, in particular, is a key use case where edge AI is making a substantial impact.
Moreover, by monitoring equipment in real-time and identifying signs of wear or impending failure, edge AI can help schedule maintenance before issues escalate, minimizing downtime and extending the lifespan of the equipment.
The Asia Pacific region represents an expanding market for edge AI in industrial automation, driven by increasing industrialization and digitization in countries such as South Korea, Japan, and China. In China, the government’s ambition to become a global leader in AI and smart manufacturing plays a major role in this growth. The "Made in China 2025" initiative is designed to upgrade China into a high-tech superpower by incorporating AI and peripheral computing into its manufacturing processes. The State Council of China plans to double the density of robot manufacturing by 2025 compared to 2020. This rapid industrialization necessitates advanced edge computing solutions to manage the vast data generated by autonomous systems and smart factories, ensuring real-time processing and decision-making capabilities to support efficient operations.
Free Valuable Insights: The Global Edge AI in Industrial Automation Market is Predict 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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
By Organization Size
By Deployment Type
By Component
By End-Use
By Solutions
By Country
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