Micron Technology vs Applied Materials
Side-by-side comparison of AI visibility scores, market position, and capabilities
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.
Santa Clara semiconductor equipment (NASDAQ: AMAT) ~$27.2B FY2024 revenue; world's largest semiconductor equipment company, HBM advanced packaging for AI GPUs, 50,000+ tools worldwide competing with ASML and Lam Research.
About
Applied Materials, Inc. is a Santa Clara, California-based semiconductor and display equipment company — publicly traded on NASDAQ (NASDAQ: AMAT) as an S&P 500 Information Technology component — providing manufacturing equipment, services, and software used to fabricate virtually every chip and advanced display in the world through approximately 35,000 employees serving foundries, integrated device manufacturers, and memory makers in 24 countries. Applied Materials is the world's largest semiconductor equipment company by revenue, supplying deposition (CVD, PVD, ALD), etch, ion implant, chemical mechanical planarization (CMP), metrology and inspection, and advanced packaging equipment to leading chipmakers including TSMC, Samsung, Intel, SK Hynix, and Micron. In fiscal year 2024 (ending October 2024), Applied Materials reported revenue of approximately $27.2 billion, with strong demand driven by leading-edge foundry investments at TSMC and Samsung for AI accelerator chips and advanced memory for HBM (high-bandwidth memory) stacks used in NVIDIA and AMD AI GPUs. The company's Semiconductor Systems segment commands the largest market share of any equipment category, while the Applied Global Services (AGS) segment generates recurring spare parts and service revenue from the installed base of 50,000+ tools operating worldwide. CEO Gary Dickerson has led Applied Materials' strategy of expanding beyond commodity deposition and etch into advanced packaging, gate-all-around transistor manufacturing, and materials engineering — where Applied's breadth of materials deposition capabilities creates competitive differentiation.
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