RISC-V: Shipments will reach 129 million units in 2030

Latest update time：2024-02-16

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Reduced Instruction Set Computing (RISC)-V processor architecture is beginning to address edge artificial intelligence (AI) workloads, and this trend will continue over the next decade. The latest report from ABI Research, a global technology intelligence company, shows that although the penetration of RISC-V into AI workloads has just begun, it will maintain steady growth over the next decade, driving the output of RISC-V chips in the field of edge AI (excluding TinyML). Cargo volume will reach 129 million by 2030.

“The architecture’s flexibility to address specific workloads and its scalability enhance its appeal,” said Paul Schell, industry analyst at ABI Research. “RISC-V International has been working hard to promote and cultivate this ecosystem, and the RISE project now seeks to The software side is being developed through collaboration between industry leaders including Google, MediaTek and Intel.”

Leading startups such as Axelera AI and Tenstorrent are demonstrating the potential of RISC-V to solve more demanding AI inference workloads, such as computer vision in automotive and security applications. Traditional manufacturers from Qualcomm to Microchip also hope to develop processors using the instruction set architecture (ISA). Its open source enabled more vendors to compete and spurred its proliferation in China. China hopes to become self-sufficient in semiconductors as U.S. sanctions limit the use of market-leading artificial intelligence accelerators.

A key driver of shipments is edge AI gateways, most of which include systems that connect to and reason about home sensors. Another driver is robotics, much of which will be used in consumer products that are not needed for mission-critical uses. Manufacturers will seek the value and flexibility offered by RISC-V processors to lower the price of consumer gateways and other devices as they need to address a growing number of artificial intelligence workloads, such as natural language processing and computer vision.

“RISC-V processors are entering the mainstream, and the community is eager to add matrix extensions (a key component of AI workloads) to the open source ISA. Google’s full support for Android on RISC-V processors and the participation of major vendors in RISC- Participants such as Intel and NXP Semiconductors in the V International working group pointed to the longer-term commitment of the broader industry. However, the ecosystem lacks the governance of other popular open source projects such as Android, which can lead to fragmentation and hinder adoption nonetheless. "Given the increasing market share of this architecture, OEMs and hardware vendors should pay attention to the progress of this architecture, which will replace some legacy architectures, such as those developed by Arm," Schell concluded.

These findings come from ABI Research’s RISC-V for Edge AI Applications application analysis report. The report is part of the company's artificial intelligence and machine learning research services, which includes research, data and ABI insights. Application analysis reports provide an in-depth analysis of key market trends and factors for a specific technology, based on extensive preliminary interviews.

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