Arm Holdings Competitive Strategy & Market Position

Nearly every smartphone call made in the United States today, whether on an iPhone, a Samsung Galaxy, or a Google Pixel, runs on a chip that traces its fundamental design back to a small engineering collaboration born in a converted barn in Cambridge, England in 1990. Every major AI training and inference workload increasingly demands custom silicon, and the companies building that custom silicon, Nvidia, Google, Amazon, Microsoft, Meta, overwhelmingly turn to Arm's architecture as the substrate. Apple, Qualcomm, Samsung, MediaTek, Nvidia, Amazon, Google, Microsoft, Tesla, Broadcom, Marvell, and hundreds of smaller design houses all pay Arm for access to its technology. Arm does not operate fabrication facilities, does not manage manufacturing supply chains, does not carry significant inventory risk, and does not require the billions of dollars in capital expenditure that firms like Intel, Samsung, or TSMC must deploy to remain competitive. The competitive landscape for Arm Holdings is unusual in that its primary competitive threats come not from direct rivals in its own business model but from structural and network forces that could erode the value of intellectual property licensing itself. In traditional processor IP licensing Arm's closest historical competitor was MIPS, whose architecture competed with Arm in embedded and networking markets before MIPS pivoted to RISC-V; GlobalFoundries completed its acquisition of MIPS in August 2025, putting a foundry behind that alternative. Yet the x86 versus Arm battle is playing out simultaneously on multiple fronts. For thirty years, x86 dominated data center computing with Intel's Xeon processors holding roughly 90% of server processor market share. Microsoft has deployed its own Arm-based server chip, Cobalt, across a substantial part of Azure, running production workloads for customers including Databricks, Siemens and Snowflake. Google has built its Axion data center processors on Arm and is replacing x86 host processors with them alongside its next-generation TPUs. While RISC-V remains primarily used in embedded and IoT applications today, leading technology companies including Google, Samsung, Intel, and a range of Chinese chip designers have invested heavily in RISC-V development. Because Arm's architecture is everywhere, silicon foundries like TSMC and Samsung Foundry have improved their process design kits (PDKs) for Arm-based designs, making it easier and cheaper to fabricate Arm-based chips at advanced nodes. Arm's position as a neutral licensor, serving competing chipmakers impartially, has given it access to design roadmaps no vertically integrated rival could see. That neutrality is now qualified: since March 2026 Arm sells its own data center processor, the AGI CPU, into the same market as licensees such as Nvidia, Amazon and Qualcomm. The company has structured its Neoverse platform specifically for cloud and edge computing workloads, releasing successive generations, Neoverse V1, N2, V2, and N3, that offer competitive performance against Intel's Xeon and AMD's EPYC processors while delivering superior power efficiency. Every major cloud provider, Amazon, Microsoft, Google, Meta, is investing tens of billions of dollars annually in AI infrastructure, with a substantial portion of that investment directed at custom silicon designed for AI inference and training workloads. Arm's automotive-grade processor IP and its ADAS-specific Cortex-R series are already designed into vehicles from major OEMs, positioning Arm well for this multi-decade transition.