Five Trends in Automation for the Second Half of 2026

Key Takeaways

• Artificial intelligence (AI) and edge computing are driving trends in industrial automation
• Advanced sensing, including machine vision, is accelerating with AI improvements
• Autonomous mobile robots are advancing with edge computing, AI, and machine vision
• Collaborative robots are entering the mainstream for high-mix production environments
• Integrated software control is emerging for entire production processes

Introduction to Automation Trends

As we approach the second half of 2026, the industrial automation sector is witnessing significant trends that are transforming the manufacturing landscape. With the increasing demand for efficient and flexible production processes, technologies such as artificial intelligence, edge computing, and advanced sensing are gaining traction.

Trends in Industrial Automation

Artificial Intelligence and Edge Computing

Artificial intelligence is revolutionizing industrial automation, particularly with edge computing applications. The need for enhanced cybersecurity is driving the adoption of edge computing, which enables real-time data processing and analysis. According to a recent report, the global edge computing market is expected to reach $12.4 billion by 2027, growing at a compound annual growth rate (CAGR) of 34.1%.

Advanced Sensing and Machine Vision

Advanced sensing, including machine vision, is another accelerating trend in industrial automation. With the help of AI, machine vision can interpret visual fields from camera feeds more accurately, enabling applications such as quality inspection and defect detection. The global machine vision market is projected to reach $15.4 billion by 2028, growing at a CAGR of 7.5%.

Autonomous Mobile Robots

Autonomous mobile robots (AMRs) are advancing rapidly, thanks to advancements in edge computing, AI, and machine vision. AMRs are being used in various applications, including material handling, logistics, and warehouse management. The global AMR market is expected to reach $4.3 billion by 2027, growing at a CAGR of 23.5%.

Collaborative Robots

Collaborative robots, also known as cobots, are entering the mainstream after years of niche applications. The need for rapid reconfiguration of production lines in high-mix environments is driving the adoption of cobots. According to a recent report, the global cobot market is expected to reach $1.3 billion by 2028, growing at a CAGR of 30.4%.

Integrated Software Control

The fifth trend in industrial automation is toward integrated software control of the entire production process. This includes quality inspection, enterprise resource planning, and individual programmable logic controllers. The following comparison table highlights the key features of integrated software control platforms:

Comparison of Integrated Software Control Platforms

Bottom Line

In conclusion, the second half of 2026 is expected to witness significant advancements in industrial automation, driven by technologies such as AI, edge computing, and advanced sensing. As manufacturers adopt these trends, they can expect improved efficiency, reduced costs, and enhanced productivity. With the emergence of integrated software control platforms, the future of industrial automation looks promising, with single platforms controlling entire production processes.