Amphenol vs Monolithic Power Systems
Side-by-side comparison of AI visibility scores, market position, and capabilities
Amphenol (APH) reported $14.8B revenue in FY2024, up 21% YoY. World's #2 connector maker. Critical for AI data center and defense interconnects. ~90,000 employees. HQ: Wallingford, CT.
About
Amphenol Corporation is one of the world's largest manufacturers of electrical, electronic, and fiber optic connectors, interconnect systems, sensors, and antennas, headquartered in Wallingford, Connecticut. Founded in 1932, Amphenol has grown through a highly decentralized acquisition strategy to become a critical supplier for virtually every electronics end market. The company reported revenues of $14.8B in FY2024, up 21% year-over-year, driven by explosive demand from AI data center customers.
San Jose power management semiconductors (NASDAQ: MPWR) Q3 2025 revenue $737.2M (+18.9% YoY); Enterprise Data $191.5M (+33% QoQ) powering NVIDIA/Google/AMD AI GPU clusters, competing with Texas Instruments and Analog Devices.
About
Monolithic Power Systems, Inc. (MPS) is a San Jose, California-based analog and mixed-signal semiconductor company — publicly traded on NASDAQ (NASDAQ: MPWR) as an S&P 500 Information Technology component — designing high-performance power management integrated circuits for computing, cloud infrastructure, storage, automotive, industrial, and consumer applications through approximately 3,800 employees worldwide. In Q3 2025, Monolithic Power Systems reported revenue of $737.2 million (+10.9% sequentially, +18.9% year-over-year), with the Enterprise Data segment (AI server power management) reaching $191.5 million (+33% from Q2 2025) driven by strong demand for power management solutions in next-generation AI platforms from NVIDIA, Google, and AMD. CEO Michael Hsing founded MPS in 1997 and has led the company's growth from a consumer LED driver manufacturer to an AI infrastructure power management leader — with MPS power ICs now embedded in NVIDIA H100, H200, and GB200 GPU clusters as the voltage regulators that convert rack power supply voltage to the precise low-voltage, high-current supply that GPU cores require during AI training inference. MPS's proprietary Intelli-Phase multiphase power architecture delivers 99%+ efficiency for high-density AI compute power delivery — a competitive differentiation that directly affects data center PUE (power usage effectiveness) at scale.
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