STMicroelectronics said on the 6th at STM32 Summit 2026 that it will consolidate its STM32 microcontroller portfolio into a single platform built for reuse across industrial systems, automotive applications and robotics, epnc.co.kr reported. The strategy rests on more than 20 years of accumulated STM32 development experience.
One Platform for Converging Industries
The unified platform lets developers apply the same architecture, intellectual property, software and development tools whether they target industrial, automotive or robotics applications. ST noted that these sectors now demand similar capabilities: real-time control, security, functional safety, connectivity and AI processing.
As intelligent functions move to the edge, ST said a common foundation matters more than developing separate MCUs for each industry. The goal is to cut product development time and costs by letting engineers reuse software and design assets they have already secured.
Code Reuse Across STM32 Generations
ST is strengthening architecture continuity around the Arm Cortex-M core so developers keep their existing development environment when moving between different STM32 MCU products. The company is also integrating its ecosystem, combining STM32Cube with the Arm ecosystem to provide software resources, technical support and a developer community.
This lets customers maintain existing workflows while designing for new products.
ST and TSMC Team on Memory Integration
On the manufacturing side, ST plans to use its 40nm flash technology and 18nm FD-SOI process with embedded phase-change memory (PCM), supplemented by TSMC’s embedded non-volatile memory (eNVM) technology. That combination forms a scalable manufacturing base for future STM32 products.
ST also said it is deepening a more-than-20-year collaboration with Arm. The two companies plan to expand the scope of code reuse in automotive, robot and industrial automation systems, and to jointly advance high-performance MCU platforms needed for physical AI systems that sense and control real-world environments.
El-Ouazzane on Ending Fragmentation
Remi El-Ouazzane, president of ST’s Microcontrollers, Digital ICs and RF Products Group, said developers no longer need to start from scratch each time they build a new product for embedded innovation. “Through the integrated STM32 platform, we are building a foundation that developers can trust across various markets and generations,” he said.
He added that the industry must focus on reducing fragmentation and maximizing software reuse while converging MCU technology around a common foundation.
Answers on Process Nodes, Arm and Physical AI
What manufacturing processes will future STM32 chips use?
ST plans to combine its 40nm flash technology with 18nm FD-SOI embedding phase-change memory, plus TSMC’s eNVM technology, to create a scalable base for upcoming STM32 families.
How long has ST worked with Arm?
The partnership spans more than 20 years, and the companies now aim to broaden code-reuse coverage in automotive, robotics and industrial automation.
What is physical AI in this context?
ST describes physical AI as systems that sense and control physical environments, which require high-performance MCU platforms that Arm and ST plan to develop jointly.
“We will position STM32 as the standard MCU platform across industries,” El-Ouazzane said.