Memory Crisis Boosts RISC-V IoT Devices as a Smarter Business Choice

Key Takeaways

  • Rising DRAM and NAND prices are driving IoT manufacturers to consider RISC-V, an open-source architecture.
  • The RISC-V market is expected to grow from $2.49 billion in 2025 to $10.77 billion by 2030.
  • Challenges remain, including software ecosystem gaps and geopolitical factors impacting architecture choices.

Changing Economics of IoT Chip Architecture

The feasibility case for RISC-V within IoT devices has shifted significantly from ideological motivations to financial realities in 2026. The surge in DRAM and NAND prices, highlighted by Samsung’s price increases of up to 60%, has made traditional architectures less viable for IoT manufacturers. Micron has exited the consumer memory market to focus on higher-margin sectors, reflecting a broader structural shift towards AI infrastructure. This transition presents economic incentives for companies to adopt chip designs that minimize memory dependency and avoid licensing fees.

RISC-V, originally developed as an academic project at UC Berkeley, is now positioned to capitalize on these economic pressures. By 2025, the RISC-V market was valued at $2.49 billion, with projections estimating it could reach $10.77 billion by 2030, showing a compound annual growth rate (CAGR) of 34%. Notably, IoT devices represented over 34% of RISC-V revenues in 2025.

The appeal of RISC-V lies in its modularity. Unlike fixed designs from ARM or x86, RISC-V allows engineers to customize architectures to fit specific product needs, resulting in lower power consumption and reduced memory requirements. This adaptability is especially crucial amid the current memory price fluctuations influencing consumer electronics manufacturers.

Adoption Trends and Market Implications

According to IoT Analytics, 2026 marks a pivotal year for IoT original equipment manufacturers (OEMs), as they shift from early AI pilot projects to comprehensive updates of their product portfolios. This transition supports a growing trend towards modular chiplets and open instruction-set architectures, with RISC-V adoption playing a key role. The rising cost of memory amplifies the necessity for cost-effective solutions.

As IoT devices prioritize local processing capabilities over cloud-based solutions, the potential for integrating unique AI features into RISC-V cores without incurring per-unit fees offers a significant advantage. For instance, the recently announced Nordic Semiconductor nRF92 Series incorporates Axon NPUs for edge AI, signaling a broader industry trend.

However, the path to RISC-V’s wider adoption is not free of hurdles. The software ecosystem remains in development, with several toolchain gaps and limited backward compatibility compared to ARM’s established market presence. Organizations transitioning from ARM firmware face practical challenges related to these technological differences.

Additionally, geopolitical concerns play a role. Significant portions of RISC-V shipments originated from China in 2025, partly due to government mandates aimed at reducing reliance on Western technologies. Similar initiatives, such as the European Union’s DARE (Digital Autonomy with RISC-V in Europe), are emerging to bolster local chip fabrication. This reality poses the question for IoT vendors regarding which architectures can be safely sourced amidst a fragmented global marketplace.

Despite its potential, RISC-V is not poised to replace ARM overnight; ARM’s existing ecosystem and commercial support are substantial competitive advantages. Nevertheless, the factors that once delayed RISC-V’s adoption have evolved into urgent economic motivations. As memory costs rise and availability tightens, RISC-V’s license-free, efficient design increasingly aligns with the needs of the IoT industry, making it a viable consideration for manufacturers looking to adapt and innovate.

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