Marvell Sees $30 Billion Growth in Custom Silicon Business

Overview

Marvell Technology wants to turn a side business into a juggernaut. At its October 6, 2026, Investor Day, the chipmaker said it is targeting approximately $30 billion in annual custom silicon revenue by fiscal year 2031.

The Numbers Behind the Pitch

The custom silicon target sits inside a larger company-wide forecast. Marvell is guiding to total revenue between $70 billion and $90 billion for FY2031. The $30 billion custom silicon figure represents the midpoint contribution within that range. Marvell’s total revenue for FY2026 came in at $8.2 billion. The custom silicon bet breaks into two main pieces. The first is custom XPUs, which are AI accelerators built to order for specific hyperscale cloud customers.

Customer Front

Marvell is not starting from zero on the customer front. The company said it is already shipping custom silicon to all four major US hyperscalers and cited more than 35 sockets at those top four customers. The headline relationship is with Google. On July 29, 2026, Marvell secured a commercial agreement covering custom products for Google’s TPU ecosystem, including accelerators and memory controllers.

Market Reaction

Wall Street’s initial reaction was warm. The announcements were followed by price target upgrades and a jump in Marvell’s stock. Cautionary voices flagged the company’s already high valuation as a reason for restraint, and emphasized that the projections lean heavily on Marvell successfully executing programs it has already won, rather than mainly on landing brand new business.

Broader Implications

By targeting attach revenue on par with XPU revenue, Marvell is positioning itself as a supplier for the whole system – accelerators alongside the networking, storage, and memory controllers that turn a pile of chips into a functioning AI cluster. Concentration is the obvious risk. Selling heavily to four hyperscalers means a shift in spending at even one of them could dent the forecast. The Google agreement’s conditional structure adds another layer of uncertainty.

Uncertainty Remains

The width of the guidance also deserves attention. A $70 billion to $90 billion range leaves $20 billion of daylight, a reminder that even Marvell sees meaningful uncertainty in how the AI buildout unfolds.