Marvell Technology stock soars 16% as AI chips drive revenue forecast to nearly $11 billion

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Marvell Technology's stock jumped over 16% after the chipmaker raised its revenue forecast to nearly $11 billion for fiscal 2027, driven by surging demand for custom AI processors from Big Tech companies. The company's fourth-quarter results topped estimates with $2.22 billion in revenue, while CEO Matt Murphy highlighted record design wins that will fuel future growth in the booming AI infrastructure market.

Marvell Technology Exceeds Expectations with Strong AI Chips Performance

Marvell Technology posted fourth-quarter revenue of $2.22 billion, marking a 22% year-over-year increase that slightly surpassed analyst estimates of $2.21 billion

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. The chipmaker delivered adjusted earnings of $0.80 per share, beating the consensus estimate of $0.79 per share

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. Net income nearly doubled to $396.1 million, up from $200.2 million in the year-ago period, demonstrating the company's ability to capitalize on robust AI demand across the data center business

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. The stock price surged more than 16% in extended trading, erasing earlier losses and pulling shares back into positive territory for the year

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Source: Benzinga

Source: Benzinga

Revenue Forecast Signals Accelerated Revenue Growth

CEO Matt Murphy announced that Marvell Technology expects fiscal 2027 revenue to grow more than 30% to nearly $11 billion, significantly above the $9.5 billion projection made at a September investor event

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. The company also lifted its fiscal 2028 revenue forecast to $15 billion, representing nearly 40% growth and topping the consensus estimate of $12.92 billion

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. For the first quarter, Marvell expects revenue of around $2.40 billion, plus or minus 5%, above analysts' average estimate of $2.27 billion

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. Murphy stated that year-over-year revenue growth will accelerate each quarter in fiscal 2027, driven by continued strength in the data center segment, with bookings continuing to grow at a record pace

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Source: SiliconANGLE

Source: SiliconANGLE

Custom AI Processors Fuel AI-Driven Data Center Expansion

Marvell Technology and rival Broadcom help cloud companies design custom chips tailored to their AI-driven data center workloads, a fast-growing business as hyperscalers seek alternatives to Nvidia's general-purpose AI processors

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. Amazon Web Services is thought to be the biggest buyer of custom AI processors from Marvell, with the chipmaker playing a key role in designing the popular Trainium chips for AI workloads

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. The company is also believed to be working with Google Cloud and Microsoft, though it hasn't confirmed this publicly

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. Application-specific integrated circuits, or ASICs, are chips tailored for a single function or custom workload, offering higher efficiency than general-purpose graphics processing units

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Source: Reuters

Source: Reuters

Big Tech Spending Powers AI Infrastructure Boom

Big Tech firms including Alphabet, Microsoft, Amazon, and Meta are expected to spend at least $630 billion to build AI infrastructure this year, lifting demand for AI chips, servers, and networking equipment from companies such as Marvell

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. This massive capital outlay is boosting demand for Marvell's custom ASICs and high-speed interconnects that shuttle data between AI processors, memory, and servers, according to company president and COO Chris Koopmans, who noted that demand is "still growing massively"

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. Revenue in the data center segment, Marvell's largest business, rose 21% to $1.65 billion, compared with estimates of $1.64 billion

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Strategic Acquisitions Target Data Movement Bottlenecks

During the quarter, Marvell splurged $5.5 billion on networking startup Celestial AI, which designs optical interconnect technology to enable more rapid data center communications

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. Celestial's technology is critical for linking vast numbers of AI processors together so they can operate as giant clusters and power advanced large language models

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. Additionally, Marvell spent $550 million to acquire XConn Technologies Holdings, which manufactures high-speed data center chips that will likely be paired with Celestial's interconnects

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. Citigroup analysts noted that Marvell's focus on linking chips more closely within a single system could expand its role as cloud companies build larger AI clusters

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Connectivity Solutions Address AI Workloads Challenges

Marvell announced it will showcase a broad range of AI data center technologies at the OFC 2026 conference in Los Angeles, with products focused on improving data movement between servers, processors, and storage systems within large cloud facilities

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. The company said these connectivity solutions address one of the biggest obstacles to expanding AI infrastructure, as companies are running into limits in how quickly data can travel across data centers

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. J.P. Morgan analyst Harlan Sur told MarketWatch that the results have reassured investors that Marvell's lead custom chip program with AWS remains on track, while the company is also seeing strong demand for its optical digital signal processors, which convert electrical signals into light to enable low-latency, high-bandwidth data transmission in data centers

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