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4 Standout Microcontrollers from Embedded World 2026

At Embedded World 2026, several manufacturers showcased next-generation microcontrollers that push the boundaries of edge AI, real-time performance, security, and power efficiency. Here are four of the most notable MCUs presented at the show from Texas Instruments, STMicroelectronics, Infineon, and SiliconAuto.

1. Texas Instruments MSPM0G5187

The MSPM0G5187 features an Arm Cortex-M0+ core running at 80 MHz with an integrated TinyEngine NPU delivering 2.56 GOPS. It offers 128 kB flash and 32 kB RAM, and supports 8/4/2-bit mixed-precision inference with extremely low latency and energy consumption (up to 120× lower energy per inference than non-accelerated MCUs).

2. Texas Instruments AM13Ex Series

The new AM13Ex family is built around a 200 MHz Arm Cortex-M33 core with the same TinyEngine NPU (2.56 GOPS). The first model (AM13E23019) provides 512 kB flash and 128 kB RAM, plus CAN FD support, making it ideal for more demanding real-time edge AI applications.

3. STMicroelectronics STM32C5

The STM32C5 is an entry-level MCU on a 40 nm process with a 144 MHz Arm Cortex-M33 core, FPU, and DSP extensions. It delivers up to 1 MB flash, 256 kB RAM, rich connectivity (Ethernet, USB, I3C, FDCAN, OCTOSPI), and strong security features targeting PSA Level 3 and SESIP Level 3 certifications. Dynamic power consumption is below 80 µA/MHz.

4. Infineon EZ-PD PMG1-B2

This highly integrated USB Type-C Power Delivery MCU combines an Arm Cortex-M0 core with a 55 V buck-boost controller supporting 2- to 12-cell lithium-ion battery packs. It significantly reduces BOM cost for cordless tools, e-bikes, drones, and robots while providing full USB PD 3.2 functionality.

Bonus Mention: SiliconAuto XMotive M3

SiliconAuto introduced its first product - the XMotive M3, an automotive-grade Arm Cortex-M33 MCU at 160 MHz with 1 MB flash and 128 kB SRAM. It targets software-defined vehicles, ADAS headlights, and body control modules with ISO 26262 ASIL-B functional safety support.

These MCUs demonstrate the ongoing evolution of microcontrollers from simple control devices into powerful, AI-capable, secure, and highly integrated processors for the edge.