SiFive, the leading commercial RISC-V chip designer, closed a SiFive raised $400 million oversubscribed Series G on April 9, 2026, at a $3.65 billion valuation[1][2][3].65 billion and setting the stage for a blockbuster initial public offering. The round, led by Atreides Management and backed by Nvidia, Apollo Global Management, and T. Rowe Price, represents the largest single investment in the RISC-V ecosystem to date and signals a tectonic shift in the $100 billion data center CPU market.

With over 10 billion RISC-V cores shipped globally, more than 500 semiconductor designs in production, and $970 million in total funding, SiFive is no longer an academic curiosity. The company is positioning itself as the open-source alternative to Arm and Intel in the heart of the data center, at a moment when hyperscale customers are demanding customizable CPU solutions for the agentic AI workloads that are reshaping enterprise computing. This is the story of how a 16-year-old architecture born at UC Berkeley is challenging the duopoly that has dominated server silicon for decades.

Inside the $400 Million Series G Round

SiFive’s Series G closed oversubscribed, raising $400 million at a post-money valuation of $3.65 billion. That represents a 46% increase from the $2.5 billion valuation set during its March 2022 Series F, which raised $175 million. The four-year gap between funding rounds is notable in a semiconductor industry where capital-intensive startups often raise annually.

Atreides Management, the hedge fund founded by former Fidelity investor Gavin Baker, led the round. Key participants include Nvidia, Apollo Global Management, D1 Capital Partners, Point72 Turion, T. Rowe Price Investment Management, Capital Group, Sutter Hill Ventures, and Prosperity7 Ventures. The institutional caliber of investors – spanning GPU manufacturers, long-only asset managers, and sovereign-linked funds – signals preparation for the scrutiny that accompanies a public filing.

“Hyperscale customers have made it very clear that it is time to accelerate the availability of open standard alternatives for the data centre,” said Patrick Little, SiFive’s Chairman, President, and CEO. “Their consistent ask is for customisable CPU solutions in IP form, that will enable them to meaningfully differentiate their data centre compute solutions.”

The round brings SiFive’s total funding to approximately $970 million. CEO Patrick Little confirmed this represents the company’s final private funding round before an anticipated initial public offering, though no specific exchange or pricing timeline has been disclosed.

SiFive’s Funding History: From $2.5 Billion to $3.65 Billion

Round	Date	Amount Raised	Valuation	Lead Investor
Series A	2016	$8.5M	Undisclosed	Spark Capital
Series B	2017	$50.6M	Undisclosed	Sutter Hill Ventures
Series C	2018	$50.6M	Undisclosed	Osage University Partners
Series D	2019	$65.4M	Undisclosed	Sutter Hill Ventures
Series E	2020	$61M	Undisclosed	Coatue Management
Series F	March 2022	$175M	$2.5B	Coatue Management
Series G	April 2026	$400M	$3.65B	Atreides Management

Why Nvidia Is Backing an Open-Source Chip Rival

Nvidia’s participation in SiFive’s Series G is among the most strategically significant aspects of the round. At first glance, it seems counterintuitive: Nvidia dominates the accelerator market with its GPU architecture. But the company’s investment thesis becomes clear through the lens of NVLink Fusion, Nvidia’s rack-level interconnect technology that allows different CPU architectures to plug into its AI factory infrastructure.

👁 SiFive's Funding History: From $2.5 Billion to $3.65 Billion

NVLink Fusion enables hyperscale customers to pair custom RISC-V CPUs designed with SiFive IP alongside Nvidia GPUs in the same rack, creating heterogeneous compute environments optimized for specific AI workloads. Rather than threatening Nvidia’s GPU dominance, SiFive’s customizable CPUs could strengthen the ecosystem around Nvidia’s accelerators by giving data center operators more flexibility in how they orchestrate host-level processing.

SiFive has announced plans to add support for Nvidia’s NVLink Fusion interconnect and compatibility with the CUDA software ecosystem. This integration positions RISC-V not as an alternative to GPU-accelerated computing but as a complementary architecture that handles the CPU-intensive inference, scheduling, and orchestration tasks that agentic AI demands. As agentic AI adoption surges across enterprise environments, the CPU is experiencing a renaissance – and Nvidia wants a piece of that growing market through its investment in SiFive.

The RISC-V Market: From $1.76 Billion to $9 Billion by 2030

The timing of SiFive’s raise coincides with explosive growth projections for the RISC-V ecosystem. According to Global Market Insights, the global RISC-V market was estimated at $1.76 billion in 2024 and is expected to grow from $2.30 billion in 2025 to $8.57 billion by 2030, representing a compound annual growth rate of approximately 30.7%. NextMSC projects even more aggressive growth, forecasting $9.08 billion by 2030 at a 32.8% CAGR.

The broader RISC-V SoC market tells an even more dramatic story. According to SHD Group’s market analysis, total RISC-V SoC revenues reached $6.1 billion in 2023 – a growth rate of 276.8% over 2022 – and are forecast to reach $92.7 billion by 2030, a CAGR of 47.4%. RISC-V International’s 2025 annual report projects that RISC-V market penetration will grow from 2.5% in 2021 to 33.7% by 2031, a more than tenfold increase driven by focused investment in data center, AI, and automotive applications.

These figures explain why institutional investors are willing to value SiFive at $3.65 billion for a company that designs chip intellectual property rather than manufacturing silicon. The total addressable market for data center CPU IP alone is estimated at over $100 billion, according to SiFive’s investor materials, and the company believes RISC-V will capture a meaningful share of that market within the next five years.

What Analysts Are Saying About the RISC-V Data Center Bet

Industry analysts have responded to SiFive’s raise with cautious optimism, noting the significance of the funding round while acknowledging the challenges ahead.

👁 What Analysts Are Saying About the RISC-V Data Center Bet

“The CPU is suddenly exciting again, especially for applications in the data center,” said Dan Newman, CEO and Chief Analyst at The Futurum Group. “SiFive spotted this trend early and is well-positioned to benefit as the industry evolves.”

Newman expanded on the competitive dynamics: “While legacy architectures are the current incumbents, we are seeing major chip and hyperscale companies envision a future with RISC-V in the data center. This $400 million investment round signals a pivotal shift toward RISC-V as a primary contender for high-performance computing, offering a flexible, efficient alternative to legacy architectures and bringing the strength of a global ecosystem to drive new solutions.”

SiFive’s SVP Jack Kang struck a collaborative tone in addressing the competitive landscape. “We don’t need any competitor to ‘lose’ in order for us to be wildly successful here,” Kang said, noting the near-term focus on data center development ahead of IPO readiness. This language suggests SiFive envisions a multi-architecture future where x86, Arm, and RISC-V coexist in data centers – not a zero-sum displacement.

Pierre Ferragu, an analyst at New Street Research, added Nvidia to the firm’s best idea list for 2026 alongside AMD and TSMC, citing the growing ecosystem of custom silicon as a tailwind for the GPU maker’s accelerator business. The analysis implicitly validates SiFive’s thesis: a vibrant RISC-V CPU ecosystem is bullish for Nvidia, not bearish.

How SiFive Compares to RISC-V Competitors

SiFive is the most prominent, but far from the only company building RISC-V silicon for high-performance computing. The competitive landscape has intensified significantly since 2024, with several well-funded startups targeting overlapping segments of the data center market.

Tenstorrent, led by legendary chip architect Jim Keller, is developing RISC-V-based AI accelerators and general-purpose CPUs. The company has attracted investment from Samsung and Hyundai and is focused on building complete RISC-V chiplet systems. Ventana Micro has been designing high-performance RISC-V data center CPUs and has demonstrated server-grade processors targeting cloud workloads. Esperanto Technologies has pivoted toward energy-efficient RISC-V AI accelerators for inference workloads.

In China, Alibaba’s T-Head semiconductor division has shipped billions of RISC-V cores through its Xuantie series, while StarFive has focused on consumer electronics and edge AI applications. The Chinese RISC-V ecosystem has grown particularly fast, driven by government mandates to reduce dependence on Western chip architectures – a trend accelerated by U.S. export controls on advanced Nvidia GPU technologies.

Company	Focus Area	Architecture	Key Backers	Notable Products
SiFive	Data Center CPU IP	RISC-V	Nvidia, Apollo, Atreides	Performance P870, Intelligence X Series
Tenstorrent	AI Accelerators + CPU	RISC-V	Samsung, Hyundai	Wormhole, Grayskull chiplets
Ventana Micro	Data Center CPU	RISC-V	Intel Capital (early)	Veyron V2 server processors
Esperanto Technologies	AI Inference	RISC-V	Atlantic Bridge, others	ET-SoC-1 accelerator
Alibaba T-Head	Cloud + Edge	RISC-V	Alibaba Group	Xuantie C910, C920
Arm Ltd.	Data Center CPU IP	ARM	Public (NASDAQ: ARM)	Neoverse V3, CSS platform

What distinguishes SiFive from its RISC-V competitors is scale. With over 10 billion cores shipped and 500+ semiconductor designs in production, SiFive has the broadest commercial deployment base. The company’s IP licensing model – similar to how Arm licenses its architecture to chip manufacturers – means its technology appears in far more silicon than SiFive’s own brand name might suggest.

The Agentic AI Opportunity: Why CPUs Matter Again

The EE Times described SiFive’s raise as signaling a “new CPU battleground for agentic AI demand,” and the framing is apt. While GPUs have dominated the AI narrative since 2023, the rise of agentic AI in enterprise environments is driving unprecedented demand for CPU-intensive workloads that GPUs alone cannot efficiently handle.

Agentic AI systems – autonomous software agents that plan, reason, and execute multi-step tasks – require substantial CPU resources for orchestration, memory management, tool calling, and scheduling. Unlike the matrix multiplication workloads that GPUs excel at during model training, agentic inference involves complex branching logic, database queries, API calls, and real-time decision-making that benefit from high single-thread CPU performance and customizable cache hierarchies.

This is where RISC-V’s customizability becomes a competitive advantage. Because RISC-V is an open instruction set architecture, chip designers can add custom extensions optimized for specific workloads without paying licensing fees to a proprietary architecture vendor. SiFive’s data center IP allows hyperscale customers to tailor cache sizes, vector processing units, and memory interfaces to their specific agentic AI workloads – a level of differentiation that proprietary architectures cannot match.

The $700 billion that Big Tech is investing in AI infrastructure in 2026 is creating massive demand for every layer of the compute stack. As data center operators look to optimize total cost of ownership, the ability to customize CPU cores for specific workloads rather than accepting one-size-fits-all designs is becoming increasingly valuable.

Patrick Little’s Path from Qualcomm to RISC-V

SiFive’s transformation from a developer tools company into a data center silicon contender has been driven by Patrick Little’s strategic vision since he became CEO in September 2020. Little brings over 30 years of semiconductor industry experience, including stints as CEO of eASIC Corp., SVP of CSR Technology, SVP at Xilinx, and most notably as SVP and General Manager at Qualcomm, where he led the company’s successful expansion into the automotive semiconductor market.

👁 Patrick Little's Path from Qualcomm to RISC-V

Little’s Qualcomm background is instructive. At Qualcomm, he demonstrated the ability to take a mobile-first architecture (Arm-based Snapdragon) and apply it to an adjacent market (automotive) that had different performance, reliability, and certification requirements. At SiFive, he is executing a similar playbook: taking RISC-V from its embedded systems roots and pushing it into the data center, where performance, software ecosystem, and enterprise reliability requirements are radically different.

Under Little’s leadership, SiFive has expanded its IP portfolio to include the Performance and Intelligence processor lines, invested in data center software ecosystem compatibility with platforms like Red Hat Enterprise Linux, Ubuntu, and CUDA, and built the strategic relationships – particularly with Nvidia – that are critical for data center adoption. The Series G funding will accelerate R&D across scalar, vector, and matrix compute capabilities, the three pillars of modern AI workload processing.

RISC-V vs. Arm vs. x86: The Three-Way Architecture War

The data center CPU market has been a two-player game for decades. Intel’s x86 architecture dominated from the 1990s until Arm’s Neoverse platform – led by Arm’s push into data center silicon – began capturing meaningful share starting around 2020 with AWS Graviton, Ampere Altra, and Microsoft Cobalt processors.

RISC-V represents a fundamentally different approach from both incumbents. Unlike x86, which is controlled by Intel and AMD through cross-licensing agreements, or Arm, which charges per-core licensing fees to its customers, RISC-V is an open instruction set architecture that anyone can implement without paying royalties. This distinction matters enormously to hyperscale data center operators spending billions of dollars annually on silicon.

“RISC-V was created by our founders to be similar to other open standards, driven and continually improved by collaboration and cross-pollination across a broad community of innovators,” Little explained. The analogy to other successful open standards – Linux in operating systems, Kubernetes in container orchestration, Ethernet in networking – is deliberate. Each of those technologies disrupted proprietary incumbents by lowering costs and enabling customization.

The challenge for RISC-V remains the software ecosystem. x86 has decades of enterprise software optimization, and Arm has invested heavily in data center software compatibility over the past five years. RISC-V’s software story is improving – Red Hat Enterprise Linux, Ubuntu, and an expanding set of cloud-native tools now support the architecture – but the gap remains significant. SiFive’s planned investment in CUDA compatibility and broader software ecosystem development is directly aimed at closing this gap.

The IPO Path: What a $3.65 Billion Valuation Signals

Patrick Little’s confirmation that the Series G represents SiFive’s final private round before an IPO places the company in an elite cohort of semiconductor startups approaching public markets. The timing is notable: 2026 has seen a wave of tech IPO activity, from Databricks’ $134 billion enterprise software listing to SpaceX’s record-breaking public offering.

At $3.65 billion, SiFive’s valuation implies a significant premium for a chip IP company, but it also reflects the massive market opportunity. By comparison, Arm Holdings went public in September 2023 at a valuation of approximately $54 billion, and its market capitalization has since grown substantially as data center adoption accelerated. SiFive investors are betting that RISC-V’s open-source model can capture a similar trajectory at a much earlier stage.

The investor composition of the Series G supports IPO readiness. T. Rowe Price, Capital Group, and D1 Capital Partners are all known for taking pre-IPO positions in companies they expect to hold through public offering and beyond. Apollo Global Management’s participation adds a debt and structured finance dimension that could be relevant for post-IPO capital structure. The presence of these institutional investors – rather than purely venture capital firms – suggests a listing timeline measured in quarters, not years.

U.S.-China Chip War Implications for RISC-V

The geopolitical dimension of SiFive’s raise cannot be ignored. RISC-V’s open-source nature has made it a strategic priority for China, where government-backed initiatives are driving rapid adoption of the architecture to reduce dependence on Western-controlled chip technologies. The Super Micro chip smuggling arrest and the recent Sharetronic Data Technology scandal – in which a Shenzhen-based company was found to have procured nearly 300 servers containing banned Nvidia AI GPUs worth $92 million – have intensified the debate over technology export controls.

👁 U.S.-China Chip War Implications for RISC-V

For SiFive, the U.S.-China chip war cuts both ways. On one hand, export controls that restrict access to advanced Nvidia and AMD chips in China are accelerating domestic Chinese investment in RISC-V alternatives, expanding the total addressable market for the architecture. Alibaba’s T-Head, StarFive, and numerous Chinese startups are building RISC-V ecosystems that benefit from the broader standards work that SiFive and RISC-V International are driving.

On the other hand, SiFive is a U.S.-headquartered company that will face pressure to ensure its IP does not flow to restricted Chinese entities. Bipartisan U.S. senators have called for halting Nvidia GPU export licenses amid rising AI chip smuggling cases, and any similar scrutiny applied to RISC-V IP could complicate SiFive’s global licensing model. The company will need to navigate these geopolitical tensions carefully as it moves toward a public offering.

Where the $400 Million Will Be Spent

SiFive has outlined specific areas where the Series G capital will be deployed, each targeting the company’s data center ambitions:

R&D in scalar, vector, and matrix compute: These three processing paradigms map directly to the workloads that modern AI data centers require. Scalar compute handles sequential tasks, vector compute accelerates parallel data operations, and matrix compute optimizes the tensor operations central to AI inference. SiFive’s investment across all three pillars positions its IP for the heterogeneous compute environments that next-generation data centers will demand.

Software ecosystem development: SiFive plans to strengthen compatibility with Red Hat Enterprise Linux, Ubuntu, CUDA, and cloud-native toolchains. This is arguably the most critical investment, as software ecosystem maturity is the primary barrier to RISC-V adoption in enterprise data centers.

NVLink Fusion integration: Building native support for Nvidia’s rack-level interconnect will allow SiFive’s RISC-V CPU IP to work smoothly alongside Nvidia GPUs in AI factory configurations, reducing integration friction for hyperscale customers.

Customer enablement: SiFive will expand its engineering support teams to help hyperscale customers customize RISC-V CPU IP for their specific workloads, a hands-on service model that differentiates it from Arm’s more standardized licensing approach.

Five Predictions for RISC-V in Data Centers

Based on the trajectory signaled by SiFive’s raise and the broader RISC-V ecosystem’s momentum, here are five predictions for the architecture’s data center future:

1. SiFive will file for IPO by Q4 2026 or Q1 2027. The institutional investor composition, Little’s explicit statements about this being the final private round, and the favorable IPO window in 2026 all point to a filing within the next two to three quarters. A listing on NASDAQ at a valuation north of $5 billion is plausible.

2. At least one major hyperscaler will deploy RISC-V CPUs in production data centers by 2027. The combination of SiFive’s IP maturity, NVLink Fusion integration, and the economic incentives of open-source licensing make it likely that a Google, Meta, or Microsoft will deploy RISC-V server processors at meaningful scale within two years.

3. RISC-V will capture 5-8% of the data center CPU market by 2030. RISC-V International’s projection of 33.7% total market penetration by 2031 includes embedded and IoT segments. In the more conservative data center segment, a 5-8% share would still represent tens of billions of dollars in silicon value and would make RISC-V a legitimate third architecture alongside x86 and Arm.

4. China will become the largest RISC-V market by revenue within three years. U.S. export controls are accelerating Chinese adoption of RISC-V as a geopolitically neutral architecture. Government-backed investment, combined with the ecosystem built by Alibaba T-Head and others, will drive China to lead RISC-V adoption by revenue, even as U.S. companies like SiFive lead in IP design.

5. Arm will respond with aggressive pricing cuts for data center IP by 2027. Arm’s per-core licensing model is increasingly vulnerable to RISC-V’s zero-royalty alternative. As hyperscale customers evaluate RISC-V seriously, Arm will be forced to restructure its pricing for high-volume data center customers – a dynamic that ultimately benefits the entire ecosystem.

Historical Context: Open Source Architecture Disruption

The RISC-V story fits a well-established pattern of open-source disruption in technology infrastructure. Linux, created in 1991, was dismissed by enterprise computing incumbents for years before becoming the dominant operating system in cloud data centers – a transition that France’s recent 2.5 million device migration to Linux continues to accelerate. Kubernetes, released as open-source by Google in 2014, displaced proprietary container orchestration platforms within five years. Ethernet disrupted proprietary networking standards in the 1980s and 1990s.

👁 Historical Context: Open Source Architecture Disruption

In each case, the pattern was similar: an open standard offered adequate performance at dramatically lower cost, a community of contributors improved the technology faster than any single vendor could, and the ecosystem reached a tipping point where the open standard became the safe choice rather than the risky one. RISC-V is following the same trajectory. Born at UC Berkeley in 2010, the architecture spent its first decade in embedded systems and IoT. SiFive’s Series G represents the moment when RISC-V’s data center ambitions became backed by institutional-scale capital.

The key question is whether RISC-V can overcome the software ecosystem barrier that has historically limited new CPU architectures in the data center. Intel’s Itanium failed despite massive investment because the software ecosystem never materialized. Arm’s data center push took nearly a decade to gain traction. SiFive’s explicit investment in CUDA, Red Hat, and Ubuntu compatibility – funded by the Series G – is designed to avoid the Itanium trap.

Market Impact and Investor Takeaways

SiFive’s $400 million raise has implications that extend well beyond the company itself. For the semiconductor industry, it validates RISC-V as a serious commercial architecture rather than an academic project. For hyperscale data center operators, it signals that customizable open-source CPU IP is approaching production readiness. For Arm Holdings, it represents a long-term competitive threat to the licensing model that underpins its business.

Arm’s stock price will bear watching in the quarters ahead. Arm currently charges per-core licensing fees and collects royalties on chips manufactured using its architecture. A shift in even a small percentage of data center CPU volume toward royalty-free RISC-V alternatives could impact Arm’s high-margin licensing revenue stream. The flip side: if RISC-V adoption drives more total demand for data center silicon – by enabling workloads that were not economical on proprietary architectures – the entire market could expand.

For venture capital and growth equity investors, SiFive’s trajectory offers a case study in how open-source hardware companies can build enterprise value. The company’s total funding of $970 million and $3.65 billion valuation imply that investors expect substantial revenue growth as RISC-V data center adoption accelerates. The IPO, when it comes, will be the leading test of whether the public markets agree.

What This Means for the AI Chip Industry

SiFive’s raise arrives at an inflection point for the AI chip industry. Nvidia dominates the GPU accelerator market. Arm is gaining share in data center CPUs through AWS Graviton, Ampere, and Microsoft Cobalt. AMD is competing on both GPU and CPU fronts. Intel is restructuring its foundry business. And now RISC-V, backed by nearly $1 billion in venture and growth capital, is entering the data center from the CPU side.

The emerging picture is one of architectural diversity. Future data centers are likely to contain x86 CPUs for legacy workloads, Arm CPUs for energy-efficient general-purpose computing, RISC-V CPUs customized for specific workloads like agentic AI inference, and Nvidia or AMD GPUs for training and high-performance inference. SiFive’s vision – and its $400 million bet – is that RISC-V will be the architecture of choice wherever customization and cost efficiency matter more than backward compatibility.

With $970 million in total funding, 10 billion cores shipped, an IPO on the horizon, and Nvidia in its investor base, SiFive is the strongest signal yet that RISC-V is ready to compete in the data center. The open-source architecture that was born in a UC Berkeley lab 16 years ago is now positioned to reshape the most valuable market in the semiconductor industry.

Related Coverage

• Agentic AI in Enterprise 2026: Inside the $9 Billion Market Reshaping How Businesses Operate
• Arm’s AGI CPU: Inside the 136-Core Chip That Marks a Historic Shift from IP Licensing to AI Data Center Silicon
• Big Tech’s $700 Billion AI Infrastructure Bet: Inside the 2026 Spending Race
• NVIDIA Blackwell GPU Pricing: B200, B300 and DGX Cost Breakdown
• Super Micro Co-Founder Arrested for Smuggling Nvidia AI Chips to China
• Databricks’ $134 Billion IPO: Inside the $5.4B Revenue Machine

Frequently Asked Questions

What is SiFive and what do they make?

SiFive is a San Jose-based semiconductor company that designs RISC-V processor intellectual property (IP) for licensing to chip manufacturers. Founded by the creators of the RISC-V instruction set architecture at UC Berkeley, SiFive provides customizable CPU core designs that companies can integrate into their own chips. With over 10 billion RISC-V cores shipped and more than 500 semiconductor designs in production, SiFive is the largest commercial RISC-V IP provider.

How much did SiFive raise in its Series G?

SiFive raised $400 million in an oversubscribed Series G funding round announced on April 9, 2026. The round was led by Atreides Management and valued the company at $3.65 billion, up from $2.5 billion at its March 2022 Series F. Key investors include Nvidia, Apollo Global Management, D1 Capital Partners, T. Rowe Price, and Capital Group. Total funding to date is approximately $970 million.

When will SiFive go public?

CEO Patrick Little confirmed the Series G is SiFive’s final private funding round before an IPO, though no specific date or exchange has been announced. The institutional caliber of Series G investors – including T. Rowe Price and Capital Group, both known for pre-IPO positioning – suggests a listing is likely within the next two to three quarters, potentially by late 2026 or early 2027.

What is RISC-V and how is it different from Arm?

RISC-V is an open-source instruction set architecture (ISA) that anyone can implement without paying licensing fees or royalties. Arm, by contrast, charges per-core licensing fees and collects royalties on manufactured chips. This means chip designers using RISC-V have more freedom to customize their processors and lower costs, while Arm offers a more mature software ecosystem and established performance credentials in data centers.

Why is Nvidia investing in SiFive?

Nvidia’s investment in SiFive supports its NVLink Fusion ecosystem strategy. NVLink Fusion allows different CPU architectures – including RISC-V – to connect alongside Nvidia GPUs in data center rack configurations. By investing in SiFive, Nvidia ensures that RISC-V CPUs will work smoothly with its GPU accelerators, expanding the ecosystem of partner architectures and strengthening its position in AI data center infrastructure.

How big is the RISC-V market?

According to Global Market Insights, the global RISC-V market was estimated at $1.76 billion in 2024 and is projected to reach $8.57 billion by 2030 at approximately 30.7% CAGR. RISC-V SoC revenues reached $6.1 billion in 2023 according to SHD Group research, with projections reaching $92.7 billion by 2030. RISC-V market penetration is expected to grow from 2.5% in 2021 to 33.7% by 2031, according to RISC-V International.