Marvell Q2 FY 2027: Connectivity and Custom Silicon Fuel AI Growth

Marvell Q2 FY 2027 Connectivity and Custom Silicon Fuel AI Growth

Analyst(s): Futurum Research
Publication Date: September 1, 2026

Marvell Q2 FY 2027 earnings showed revenue growth above consensus, led by data center demand and improving visibility in AI-related programs. The quarter also sharpened the focus on custom silicon, connectivity, and margin discipline ahead of Marvell’s October Investor Day.

What Is Covered in This Article:

  • Marvell’s Q2 FY 2027 financial results
  • Data center demand drives growth
  • Custom silicon pipeline expands
  • Connectivity strengthens AI infrastructure position
  • Guidance and Final Thoughts

The News: Marvell Technology (NASDAQ: MRVL) reported Q2 FY 2027 revenue of $2.74 billion, up 37% year-over-year (YoY), compared with Wall Street consensus of $2.71 billion. Data center revenue was $2.17 billion, up 46% YoY, compared with consensus of $2.15 billion. Communications and other revenue was $567.8 million, up 10% YoY, compared with consensus of $562.4 million. Non-GAAP gross margin was 58.9%, compared with 59.4% in the year-ago period. Non-GAAP operating income stood at $1.003 billion (Q2 FY 2026: $698.8 million) and the corresponding margin expanded by 180 basis points to 36.6%. Non-GAAP earnings per share was $0.94, compared with $0.67 in the year-ago period and consensus of $0.93.

“Marvell delivered record second-quarter fiscal 2027 revenue of $2.739 billion, up 37% year over year, driven by continued strong demand across our Data Center portfolio, where revenue growth accelerated to 46% year over year,” said CEO Matt Murphy.

Marvell Q2 FY 2027: Connectivity and Custom Silicon Fuel AI Growth

Analyst Take: Marvell’s Q2 FY 2027 results show a company increasingly tied to AI infrastructure buildouts rather than a balanced semiconductor cycle. Data center is now the center of gravity, and the company’s custom silicon pipeline appears larger than prior external expectations. The quarter also shows that connectivity remains a core part of Marvell’s AI infrastructure thesis, not a secondary contributor.

Data Center Becomes the Core Growth Engine

Marvell’s data center revenue reached $2.17 billion in Q2 FY 2027, rising 46% YoY and accounting for most of the company’s growth. Demand came across the data center portfolio, including cloud and on-premise AI systems, AI servers, Ethernet switching, storage, and data center interconnect. The result confirms that Marvell’s exposure is tied to the broader AI infrastructure stack, not only one product line. AI systems need high-speed connectivity, switching, and custom compute to scale efficiently. Marvell’s portfolio sits in several of those spending lanes. Data center concentration raises execution risk, but it also gives Marvell a clearer route to outsized growth.

Custom Silicon Moves Into a Larger Phase

Marvell’s custom business appears set to accelerate beginning in H2 FY 2027. The company framed the custom silicon opportunity as larger than the $8 billion to $10 billion range that investors previously debated. Much of the near-term impact is already reflected in FY 2028 expectations, while the larger effect appears more weighted to FY 2029 and beyond. The custom model also creates a different revenue profile from merchant products because customer-specific programs can run across multiple product generations. That can improve visibility if programs scale as planned. Marvell’s custom silicon story is shifting from validation to execution at scale.

Connectivity Remains Central to AI Infrastructure

Connectivity demand was cited as a key source of strength within the data center portfolio. That matters because AI infrastructure bottlenecks increasingly sit between accelerators, memory, storage, and networking domains. Marvell’s Ethernet, switching, optical, and data center interconnect exposure gives it a role in reducing those bottlenecks. The communications and other segment also grew 10% YoY to $567.8 million, showing that the non-data center base is still contributing. Marvell’s August 2025 sale of its automotive Ethernet business narrowed the portfolio and increased its focus on Data Center and Communications markets. Connectivity gives Marvell a more durable AI infrastructure position than compute exposure alone.

Guidance and Final Thoughts

Marvell guided Q3 FY 2027 revenue to approximately $3.15 billion (plus or minus 5%), compared with consensus of $3.03 billion. Adjusted gross margin is expected to be between 57.5% and 58.5%, while adjusted operating expenses are expected to be $655 million. Adjusted earnings per share are expected between $1.05 and $1.15, compared with consensus of $1.07. Management also raised FY 2027 revenue guidance to approximately $12 billion from $11.5 billion, implying growth of approximately 45%, and increased its FY 2028 revenue outlook to approximately $18 billion from $16.5 billion, implying growth of approximately 50%. Data Center revenue growth is now expected to reach approximately 60% in FY 2027, up from the prior forecast of 50%, and exceed 60% in FY 2028, supported by custom silicon revenue more than doubling. The company expects gross margins in FY 2028 to remain in a similar range to the back half of FY 2027, with operating margin exiting FY 2027 in the 38% to 40% long-term target range. Investor Day on October 6, 2026, will be important for sizing custom silicon outcomes and resetting the long-term model.

Marvell’s growth profile is becoming increasingly tied to the combination of custom compute and connectivity required to scale AI infrastructure. The expanding custom silicon pipeline provides a potentially larger growth runway into FY 2028 and beyond, while optical interconnects, Ethernet switching, and other connectivity products broaden Marvell’s exposure beyond any single accelerator program. This breadth should help support growth as hyperscalers increase capital expenditure across multiple parts of the AI infrastructure stack, although ramping complex customer-specific programs and maintaining margins as the revenue mix changes remain important execution considerations. The next phase will hinge on converting the larger custom silicon pipeline into production revenue while sustaining connectivity momentum and operating leverage as AI infrastructure deployments scale.

See the full press release on Marvell Technology’s Q2 FY 2027 financial results on the company website.


Declaration of generative AI and AI-assisted technologies in the writing process: This content has been generated with the support of artificial intelligence technologies. Due to the fast pace of content creation and the continuous evolution of data and information, The Futurum Group and its analysts strive to ensure the accuracy and factual integrity of the information presented. However, the opinions and interpretations expressed in this content reflect those of the individual author/analyst. The Futurum Group makes no guarantees regarding the completeness, accuracy, or reliability of any information contained herein. Readers are encouraged to verify facts independently and consult relevant sources for further clarification.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Read the full Futurum Group Disclosure.

Other Insights From Futurum:

Marvell Attaches Across Google’s TPU Stack With a Warrant Vesting Toward $120B

Broadcom’s DSP Launch Intensifies the AI Optics Race with Marvell

Marvell Scales AI Memory to 48TB Behind a Single CXL Switch at FMS 2026

Author Information

Futurum Research
Futurum Research

Futurum Research delivers forward-thinking insights on technology, business, and innovation. Content published under the Futurum Research byline incorporates both human and AI-generated information, always with editorial oversight and review from the expert Futurum Research team to ensure quality, accuracy, and relevance. All content, analysis, and opinion are based on sources and information deemed to be reliable at the time of publication.

The Futurum Group is not liable for any errors, omissions, biases, or inadequacies in the information contained herein or for any interpretations thereof. The reader is solely responsible for any decisions made or actions taken based on the information presented in this publication.

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