Broadcom (AVGO) vs Marvell (MRVL): Which AI Chip Stock Should You Buy in 2025?

Key Takeaways

• Broadcom generated $63.9B in total fiscal 2025 revenue, with AI chip sales surging 74% annually
• Marvell achieved record quarterly revenue of $2.006B in fiscal Q2 2026, representing 58% year-over-year growth
• Broadcom commands a market capitalization of approximately $1.36 trillion versus Marvell’s ~$80.8 billion
• Broadcom maintains a balanced portfolio across semiconductors and enterprise software; Marvell concentrates on AI data-center solutions
• Wall Street analysts project moderate gains for Broadcom at $435.30 target and show restraint on Marvell at $122.73

When evaluating AI infrastructure investments, Broadcom and Marvell emerge as two compelling but distinctly different opportunities. Each company is experiencing rapid expansion, yet their strategic approaches vary considerably.

Broadcom Inc., AVGO

Broadcom operates as the industry giant with a dual-pronged business strategy. The company divides operations between semiconductor manufacturing and enterprise infrastructure software. During fiscal year 2025, Broadcom delivered total revenues of $63.9 billion, comprising $36.9 billion from its semiconductor division and $27 billion from software services.

The artificial intelligence segment represents Broadcom’s fastest-growing revenue stream. During fiscal 2025’s fourth quarter, the company’s AI semiconductor sales jumped 74% compared to the prior-year period.

Executives projected that AI semiconductor revenues would reach $8.2 billion in the first quarter of fiscal 2026. These earnings stem primarily from specialized AI accelerators and Ethernet networking equipment deployed across AI-focused data centers.

Broadcom’s software operations provide an important stabilizing force. This segment generates predictable, recurring income streams that help offset the cyclical volatility inherent in semiconductor markets.

Marvell represents a more compact, strategically concentrated alternative. The company centers its operations around AI data-center components, featuring custom chip designs, optical connectivity solutions, and cutting-edge network infrastructure.

Marvell Technology, Inc., MRVL

During fiscal Q1 2026, Marvell delivered record-breaking revenue totaling $1.895 billion, marking a 63% increase year over year. Company leadership attributed this performance to expanded custom silicon deployments and robust demand for electro-optical products.

Marvell’s Momentum Continues

The following quarter sustained this impressive trajectory. Fiscal Q2 2026 revenues reached another record at $2.006 billion, reflecting 58% annual growth. The company reported GAAP gross margin of 50.4% and non-GAAP gross margin of 59.4%.

Marvell’s complete fiscal 2026 financial results revealed net revenue climbing by $2.4 billion compared to the previous year. This substantial increase stemmed predominantly from a 46% surge in data-center segment revenues.

The company has positioned itself as one of the most direct pure-play opportunities for investors seeking exposure to AI infrastructure, aside from dominant players like Nvidia.

Market Valuation and Wall Street Outlook

The valuation metrics between these two stocks reveal stark contrasts. Broadcom currently trades at approximately 71.7 times trailing twelve-month earnings. Marvell carries a multiple of roughly 32.7 times earnings.

Broadcom’s market capitalization stands at about $1.36 trillion, while Marvell is valued near $80.8 billion.

Wall Street price targets indicate divergent expectations. According to MarketBeat, the consensus analyst target for Broadcom sits at $435.30, suggesting relatively modest appreciation potential from present levels.

Marvell’s consensus target reaches $122.73 among analysts. This figure trails recent market prices, signaling some analyst hesitation following the stock’s substantial rally.

Investment Verdict

Broadcom’s massive scale and diversified business architecture position it as the more stable choice for risk-averse investors. Marvell’s concentrated focus within AI infrastructure offers greater growth potential—though this specialization also increases vulnerability should AI capital expenditures decelerate.

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