Machine learning

Electronic Design Automation Market to Reach $32.75 Billion by 2032: Growth Drivers and Trends

The electronic design automation market is experiencing rapid transformation driven by semiconductor complexity and AI integration. With projected growth to $32.75 billion by 2032, EDA tools are becoming essential for next-generation chip design and verification across multiple industries.

The electronic design automation market is undergoing a significant transformation, driven by accelerating semiconductor innovation and the integration of artificial intelligence into design workflows. This critical sector, which provides the tools and platforms essential for designing and verifying complex electronic systems, is projected to grow from USD 14.66 billion in 2023 to USD 32.75 billion by 2032, representing a compound annual growth rate of 9.35% during the forecast period.

Market Overview and Growth Projections

by Bennett LauraOctober 15, 2025

Earth Sciences Energy

MIT Researchers Advance Nuclear Fusion With AI-Powered Plasma Control Model

MIT researchers have created a physics-informed machine learning model that predicts plasma behavior in fusion reactors. This breakthrough addresses one of nuclear fusion’s biggest challenges: safely controlling plasma during reactor shutdowns.

Scientists at the Massachusetts Institute of Technology have taken a significant step toward scaling up nuclear fusion energy by developing an AI-powered model that predicts plasma behavior in tokamak reactors. This breakthrough addresses one of the most persistent challenges in making fusion power commercially viable: safely controlling plasma during reactor shutdowns.