ON Semiconductor vs Micron Technology
Side-by-side comparison of AI visibility scores, market position, and capabilities
Scottsdale AZ SiC power and image sensors (NASDAQ: ON) ~$6.8B FY2024 revenue; EliteSiC EV powertrains, $4B+ LTSAs, 30K employees, post-destocking recovery competing with Wolfspeed and STMicroelectronics.
About
ON Semiconductor Corporation (onsemi) is a Scottsdale, Arizona-based intelligent power and sensing technology company — publicly traded on the NASDAQ (NASDAQ: ON) as an S&P 500 Information Technology component — designing and manufacturing silicon carbide (SiC) power semiconductors, intelligent power modules, image sensors, and analog and mixed-signal ICs for electric vehicles, industrial automation, energy infrastructure, and automotive safety applications through approximately 30,000 employees at fabrication facilities in New Hampshire, Oregon, Czech Republic, Slovakia, South Korea, and Malaysia. In fiscal year 2024, ON Semiconductor reported revenues of approximately $6.8 billion (down from the 2023 peak of $8.3 billion) as the EV semiconductor supply chain underwent significant inventory destocking — automakers (Tesla, GM, Ford, Stellantis, European OEMs) who overstocked EV power semiconductors during the 2022-2023 supply shortage worked through accumulated SiC MOSFET inventory rather than placing new orders, creating a revenue trough at ON Semiconductor and competitors (Wolfspeed, STMicroelectronics, Infineon). CEO Hassane El-Khoury's "Intelligent Power" strategy — pivoting onsemi from a broad-based analog/discrete semiconductor company toward automotive and industrial SiC focus — has concentrated the portfolio on the highest-growth, highest-margin applications (EV powertrains consuming 15-20 SiC MOSFETs per vehicle at $100-200/device, versus $5-10 for traditional silicon IGBT modules) where onsemi's EliteSiC MOSFET technology achieves the switching frequency and efficiency that enables smaller battery packs with longer range.
Micron Technology (MU) reported $25.1B revenue in FY2024 (ended Aug), up 62% YoY. HBM revenue growing rapidly. Market cap ~$120B. 48,000+ employees. Boise, ID. Leading supplier of HBM3E memory for NVIDIA GPUs.
About
Micron Technology was founded in 1978 and is headquartered in Boise, Idaho. As one of the world's largest producers of semiconductor memory and storage solutions, Micron's mission is to transform how the world uses information by engineering leading memory and storage technologies. The company designs and manufactures DRAM, NAND flash, and NOR flash memory products, serving customers across data centers, mobile devices, automotive systems, and consumer electronics. Micron trades on the NASDAQ under the ticker MU and employs over 48,000 people globally across design, manufacturing, and sales operations.\n\nMicron's product portfolio spans a wide range of memory architectures, with particular strategic focus on High Bandwidth Memory (HBM) — the specialized DRAM stack architecture required by modern AI accelerators. Micron's HBM3E memory has become a critical component in NVIDIA's flagship GPU platforms, including the H100 and H200, directly enabling the high-throughput memory access that large language models and AI training workloads require. Beyond HBM, Micron supplies DDR5, LPDDR5X, and enterprise SSDs to hyperscale cloud providers, OEMs, and device manufacturers worldwide. The company's manufacturing footprint includes fabs in the United States, Japan, Taiwan, and Singapore, with ongoing investment in U.S. domestic production supported by CHIPS Act funding.\n\nMicron reported revenue of $25.1 billion in fiscal year 2024, representing 62% year-over-year growth driven by surging AI-related memory demand. The company's market capitalization stands at approximately $120 billion, reflecting its critical position in the AI infrastructure supply chain. With HBM revenue growing rapidly quarter over quarter and Micron securing a place in NVIDIA's supply chain for next-generation GPU platforms, the company is emerging as one of the primary beneficiaries of the global AI infrastructure buildout.
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