The primary driver was explosive demand for AI infrastructure . The cloud and networking products division — which includes AI servers and AI networking hardware — saw the strongest growth, benefiting from "strong pull-in" demand from AI customers . Component shipments for AI networking hardware also boosted results .
This performance reflects a structural shift: in the prior quarter (Q2 2025), Foxconn’s AI server division generated more revenue than its smart consumer electronics (i.e., iPhone assembly) for the first time in the company’s history .
Foxconn management had projected a substantial increase in Q3 revenue, citing continued robust AI demand combined with the traditional peak technology season . The subsequent Q3 2025 results confirmed this outlook: revenue reached NT$2.06 trillion ($67.7 billion), up 11% year-over-year, with cloud/networking (including AI servers) becoming the largest revenue segment for the second consecutive quarter . Net profit for Q3 was NT$57.67 billion, up 17% year-over-year and beating analyst expectations .
Foxconn has rapidly transformed from primarily an iPhone assembler into a leading AI server infrastructure manufacturer, especially as Nvidia’s primary manufacturing ally .
Foxconn can now produce ~1,000 AI server racks per week, with plans to increase that output . It builds server racks specifically designed for Nvidia’s GB200, GB300 NVL72 (Blackwell), and next-generation Vera Rubin platforms .
Foxconn has already started development on Nvidia’s next-generation Vera Rubin NVL servers, targeting mass production in the second half of 2026 . The company aims to expand its AI server market share, potentially capturing 60% with shipments projected to reach 40,000 cabinets by 2028 .
The bottom line: AI server revenue has overtaken consumer electronics as Foxconn’s largest income stream, the company is scaling production capacity rapidly, and its deep partnership with Nvidia across Blackwell and future Vera Rubin platforms positions it as a central manufacturing backbone of the global AI infrastructure buildout .