Market Overview:

The AI in Industrial Automation Market is the application of artificial intelligence technology to industrial activities with the intention of increasing automation, productivity and decision making in the production and other sectors. AI based solutions help machines to learn from data, make predictions, optimize performance and do complex work on their own. The market covers AI implementations in robotics, predictive maintenance, process control, logistics and supply chain, and quality assurance.

Key players:

ABB Ltd., Emerson Electric Co., Honeywell International, Inc., Kawasaki Heavy Industries, Ltd., Mitsubishi Electric Corporation, OMRON Corporation, Rockwell Automation, Inc., Schneider Electric, Siemens AG, Yokogawa Electric Corporation, IBM Corporation, Microsoft Corporation

Sample Link- https://www.trendbridgeinsights.com/industry-report/ai-industrial-automation-market

Market segmentation:

Type

• Deep Learning
• Machine Learning
• Natural Language Processing (NLP)
• Machine Vision
• Others

Application

• Material Movement
• Predictive Maintenance & Machinery Inspection
• Production Planning
• Field Services
• Quality Control & Reclamation
• Others

End Use

• Manufacturing
• Automotive
• Energy & Utilities
• Healthcare
• Retail
• Aerospace & Defense
• Other

Mega Trend Connect:

AI trade is increasingly governed by export controls on high-performance compute, foundation model distribution rules, and compliance frameworks around data, training, and deployment. Countries impose strict oversight on AI systems used in critical sectors such as defense, healthcare, and finance. This leads to region-specific AI stacks, compliance constraints, and diversified compute sourcing. Vendors must navigate fragmented regulatory regimes while serving global demand for AI capabilities.

Region Analysis:

The North American region, especially the United States and Canada, is one of the leading markets for AI in Industrial Automation. The region has advantages in manufacturing, technological development, and automation, as well as a strategic focus on industrial development. American companies, especially those in the automotive, aerospace, and electronics industries, are leading the way in integrating AI into automation applications such as maintenance, optimization, and robotics. North America’s large investment in AI technologies and the presence of important technology centers such as Silicon Valley contribute to the development of new industrial automation solutions.

Recent

In February 2024, Siemens has launched an AI enabled predictive maintenance solution to keep a check on the health of industrial equipment. This tool uses machine learning to analyze real time data from sensors and predict failures that might occur hence enabling companies to schedule maintenance at convenient times and reduce on downtime. This is a major advancement in the efforts being made to help various industries cut on the costs of operations and extend the useful life of their assets.

F&Q:

Q1. How big is the AI in industrial automation market?

The global AI in industrial automation market size was estimated at USD 20.02 billion in 2024 and is expected to reach USD 23.08 billion in 2025

Q2. What is the AI in industrial automation market growth?

The global AI in industrial automation market is expected to grow at a compound annual growth rate of 18.6% from 2025 to 2033 to reach USD 90.28 billion by 2033.

Q3. What are the factors driving the AI in industrial automation market?

Key factors that are driving the market growth include the rising adoption of predictive maintenance to minimize downtime, increasing integration of AI-powered robotics and machine vision for enhanced operational efficiency, growing demand for smart manufacturing and digital twins, and the expanding use of industrial IoT and edge AI for real-time decision-making and process optimization.

Q4. Which segment accounted for the largest AI in industrial automation market share?

North America dominated the AI in industrial automation market with a share of over 36% in 2024, primarily driven by the strong presence of advanced manufacturing infrastructure and early adoption of AI technologies. Industries across automotive, aerospace, and electronics are integrating AI-driven robotics and machine vision systems to enhance production accuracy and reduce operational costs.

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