AI in semiconductor manufacturing market seen nearly doubling by 2030

By AI, Created 4:53 PM UTC, May 18, 2026, /AGP/ – The Business Research Company says the artificial intelligence in semiconductor manufacturing market will grow from $9.85 billion in 2026 to $19.14 billion by 2030, driven by Industry 4.0 adoption, predictive maintenance and AI-based quality control. North America led the market in 2025, while Asia-Pacific is expected to grow fastest through the forecast period.

Why it matters: - AI is becoming a core tool for chipmakers trying to raise output, improve yield and cut downtime in a more complex manufacturing environment. - The market’s projected jump to $19.14 billion by 2030 signals stronger spending on automation, inspection and process control software across semiconductor fabs. - The shift matters because semiconductor production is central to consumer electronics, industrial systems and broader supply chains.

What happened: - The Business Research Company published its Artificial Intelligence in Semiconductor Manufacturing Global Market Report 2026 with market estimates, trends and a 2026-2035 outlook. - The report says the market will rise from $8.36 billion in 2025 to $9.85 billion in 2026, a 17.8% CAGR. - The report forecasts the market will reach $19.14 billion by 2030, implying an 18.1% CAGR during the forecast period. - The report was released May 13, 2026, from London.

The details: - The report defines AI in semiconductor manufacturing as the use of machine learning, advanced analytics and data-centric algorithms to improve chip fabrication workflows. - AI supports dynamic process optimization and automates quality inspection during wafer fabrication and testing. - The report links recent growth to higher semiconductor production demand, wider automation in wafer fabrication, expansion in consumer electronics, tighter quality control and broader industrial electronics manufacturing. - Forecast growth is tied to AI-driven process optimization, cloud-based AI platforms, computer vision for quality inspections, predictive maintenance and energy-efficient chip production. - The report highlights rising demand for yield optimization, defect detection, process control software, design for manufacturing methods and AI-driven supply chain management. - Industry 4.0 adoption is a major growth driver, combining cyber-physical systems, industrial IoT, analytics, automation and connected machinery. - The World Robotics report by the International Federation of Robotics showed 553,052 industrial robot installations worldwide in 2022, up 5% year over year. - The market breakdown covers North America, Asia-Pacific, South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa. - North America held the largest market share in 2025. - Asia-Pacific is expected to post the fastest growth during the forecast period. - The report offers a free sample here and the full report here.

Between the lines: - The forecast suggests AI is moving from a support tool to a standard production layer in semiconductor manufacturing. - Stronger growth in Asia-Pacific points to where new fabs, automation spending and AI deployment may accelerate most quickly. - The robot-installation data reinforces the report’s view that smart manufacturing is gaining momentum across industrial production.

What’s next: - Semiconductor makers are likely to increase spending on predictive maintenance, yield optimization and computer-vision inspection systems. - Cloud-based AI platforms and process-control software should become more important as fabs look for faster, more scalable optimization. - The report’s 2030 outlook suggests competition will center on efficiency gains, defect reduction and energy use, not just capacity expansion.

The bottom line: - AI is becoming a key lever for semiconductor manufacturers seeking higher precision, lower downtime and better yields, and the market outlook points to sustained double-digit growth through 2030.