On-Device Model Execution Reshapes The Die
Running language and vision models locally rather than in a data centre demands neural throughput and memory bandwidth that mobile silicon was never designed around, and neural processing now occupies roughly 22% of flagship application processor die area. The knock-on effect reaches memory: device memory capacity is rising for the first time in years because local models need somewhere to sit. That raises the cost of the whole platform rather than only the chipset, and it gives premium tier parts a genuine functional differentiator at a moment when processor performance had stopped mattering to buyers.
Market Impact: Grows at 13.8% annually








