Physical AI Drives the Evolution of Specialized Hardware and System Architectures

Physical AI is becoming a major driving force in the evolution of semiconductors and system architectures. According to a November 5, 2026 Semiconductor Engineering report on chips and packaging, applications of physical AI are expanding from automotive into more scenarios such as robots and drones. Vendors including Synopsys point out that the performance bottlenecks of physical AI span the entire system: simply stacking more compute is not enough, and it also requires matching memory bandwidth, efficient interfaces, and solutions to power delivery and thermal issues, pushing hardware to its limits. In terms of market size, PwC Strategy& estimates the global physical AI market could reach roughly €430 billion by 2030. Current reporting focuses on industry vendors' and consultancies' assessments of hardware demand and market outlook, and the situation is still developing.

AI overview of reporting · Updated 2 h前

Not enough continuous observations to show a trend yet.