The case for RISC-V IoT gadgets was as soon as ideological. Open-source structure, no licensing charges, freedom from ARM’s royalty construction. It was a compelling pitch, however largely an summary one for many IoT product groups working inside established provide chains. That dialog has modified significantly in 2026, and the reason being not philosophical. It’s monetary.
DRAM and NAND costs have surged to ranges not seen in a technology. Samsung raised contract costs for sure reminiscence chips by as a lot as 60% in comparison with September 2025 ranges, in response to Reuters. Micron has described the availability bottleneck as “unprecedented” and has exited the patron reminiscence market totally to deal with higher-margin enterprise and AI prospects. SK Hynix has reported that its HBM, DRAM, and NAND capability is actually offered out for 2026.
In accordance with IDC, this isn’t a cyclical correction. It’s a structural reallocation of silicon wafer capability towards AI knowledge centre infrastructure, one that might persist properly into 2027. For IoT machine makers, that backdrop modifications the economics of chip structure straight and instantly.
Each design resolution that reduces reminiscence dependency, lowers bill-of-materials value, or avoids proprietary licensing publicity is price extra now than it was 18 months in the past. RISC-V, the open-source instruction set structure that started as a UC Berkeley educational mission, has been quietly transferring into precisely that place.
From area of interest to crucial
The RISC-V market was valued at US$2.49 billion in 2025 and is forecast to succeed in US$10.77 billion by 2030, a CAGR of 34%, in response to Analysis and Markets. IoT gadgets accounted for 34.52% of RISC-V income in 2025, making it the structure’s single largest utility section by share, in response to Mordor Intelligence.
Asia-Pacific, which instructions 42% of the present market, is the place the expansion trajectory is steepest, pushed by regional chip-sovereignty programmes and the sheer quantity of related machine manufacturing concentrated there.
The architectural match for IoT is simple. RISC-V cores, notably 32-bit variants, are designed for constrained environments the place energy consumption and reminiscence footprint must be small. In contrast to ARM or x86, which bundle fastened instruction units no matter whether or not a tool wants them, RISC-V permits engineers to construct solely what a product really requires.
That modularity interprets on to leaner silicon, decrease reminiscence necessities, and a design that’s much less uncovered to the commodity reminiscence value swings presently hammering shopper electronics OEMs.
The inflexion level IoT analytics flagged
IoT Analytics recognized 2026 because the inflexion level when IoT OEMs would start scaling from early edge AI pilots to broad portfolio refreshes, with RISC-V adoption cited as one of many key architectural shifts accompanying that transition.
The agency famous that rising value pressures and the necessity for versatile architectures had been driving IoT semiconductor design away from monolithic SoCs towards modular chiplet designs and open-instruction-set cores. That prediction is now enjoying out towards a reminiscence market in disaster, which supplies the fee argument extra urgency.
There’s additionally an edge AI dimension to this. As IoT gadgets are more and more anticipated to run native inference reasonably than offload processing to the cloud, the power so as to add customized AI extensions to a RISC-V core with out paying per-unit royalties turns into a significant value lever at scale.
Nordic Semiconductor’s nRF92 Sequence, introduced at MWC 2026, integrates Axon NPUs for edge AI alongside its mobile IoT capabilities–a design philosophy that displays the place the market is heading. Whether or not distributors attain that consequence by way of RISC-V or proprietary cores, the underlying strain to do extra on-device with much less reminiscence and decrease licensing value is similar.
The remaining friction
The case for RISC-V IoT gadgets just isn’t with out friction. The software program ecosystem, whereas maturing quickly, nonetheless carries an extended tail of toolchain gaps and restricted backward compatibility in comparison with ARM’s entrenched developer base. For product groups with current firmware constructed on ARM or established vendor SDKs, the migration value is actual.
Analysis and Markets famous that software program complexity from fragmented ISA extensions and a scarcity of senior EDA expertise in mature course of nodes stay headwinds for broader adoption.
There’s a geopolitical layer right here, too. China accounted for a big share of world RISC-V shipments in 2025, pushed partly by authorities mandates to scale back dependency on Western proprietary architectures in vital infrastructure.
The EU’s DARE initiative–Digital Autonomy with RISC-V in Europe–has already produced its first AI unit for industrial robotics. For IoT distributors navigating an more and more fragmented commerce surroundings, the query of which chip architectures might be sourced with out geopolitical publicity is not theoretical.
None of this implies RISC-V will displace ARM in IoT in a single day. ARM’s put in base, toolchain maturity, and business assist infrastructure are formidable benefits that don’t evaporate as a result of reminiscence costs are excessive. However the circumstances that when made RISC-V a long-term consideration have compressed right into a short-term financial argument. When reminiscence is dear and scarce, lean and license-free begins to look much less like an ideology and extra like good engineering.
The AI reminiscence disaster didn’t create the RISC-V story. However it could be the factor that lastly forces the IoT trade to take it significantly.
(Photo by William Warby)
See additionally: Powering smarter IoT: Nordic Semiconductor and edge AI
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