Global RISC-V SoC for AI/ML Market Growth 2025-2031

The global RISC-V SoC for AI/ML market size is predicted to grow from US$ 179 million in 2025 to US$ 410 million in 2031; it is expected to grow at a CAGR of 14.8% from 2025 to 2031.

A RISC-V SoC for AI/ML is a system-on-chip that integrates the RISC-V architecture and is specifically designed for artificial intelligence and machine learning applications. It features highly customizable hardware capabilities, allowing it to flexibly adjust computing resources according to different algorithms and tasks. For example, it can adapt to complex AI model computations by extending the instruction set. Meanwhile, it has an efficient data processing capacity and storage architecture, enabling it to quickly process large amounts of data and reduce data transmission latency.

Its technical requirements encompass the optimization of the instruction set, the efficient design of processor cores, and the collaborative adaptation of hardware and software to ensure high-performance and flexible computing in the field of AI/ML.

Segmentation by Type:

• Multi-core
• Others

Segmentation by Application:

• Automotive Electronics
• Industrial Internet of Things
• Edge Computing
• Others

Market by Region:

• Americas
• APAC
• Europe
• Middle East & Africa

Company Coverage:

• SiFive
• Esperanto Technologies
• Meta
• Pingtouge (Shanghai) Semiconductor (Alibaba)
• Beijing Yisiwei Technology Group

Key Questions Addressed in this Report:

1. What is the 10-year outlook for the global RISC-V SoC for AI/ML market?
2. What factors are driving RISC-V SoC for AI/ML market growth, globally and by region?
3. Which technologies are poised for the fastest growth by market and region?
4. How do RISC-V SoC for AI/ML market opportunities vary by end market size?
5. How does RISC-V SoC for AI/ML break out by Type, by Application?