How the Global Server CPU Market Will Reach $200 Billion by 2030

Using GPU shipment data, in‑rack versus out‑of‑rack deployment ratios, CPU vendor market‑share figures and average selling‑price (ASP) assumptions, the study projects that the global server CPU market will surpass $200 billion in 2030.

Revenue side: AI‑focused server CPUs are expected to experience simultaneous volume and price growth. Total CPU shipments are forecast to reach 67 million units in 2030, a three‑fold increase from 2025, while market size expands from $31.2 billion in 2025 to $207 billion in 2030, implying a compound annual growth rate (CAGR) of 46 %. Demand is driven by both in‑rack AI acceleration and out‑of‑rack capacity expansion. The CPU‑to‑GPU ratio is projected to improve from 1:3 in 2026 to 0.93:1 in 2030, approaching a 1:1 balance.

Landscape shift: The traditional X86 duopoly of Intel and AMD is giving way to a three‑way competition that includes a rapidly rising ARM ecosystem. By 2030, the estimated market shares are 39 % for Intel, 21 % for AMD, and 27 % for ARM (up from 11 % in 2025). Architectural differences dictate distinct scenario suitability.

X86 characteristics: Closed‑license model, strong ecosystem compatibility, deep enterprise customer base, and suitability for out‑of‑rack expansion and conventional server workloads.

ARM characteristics: Open‑IP licensing, extensive customization, low power consumption and high energy efficiency, making it the preferred choice for in‑rack AI training and inference in cloud providers such as Nvidia, Google and Amazon.

The two ecosystems are clearly differentiated: in‑rack AI training/inference is dominated by ARM, while out‑of‑rack capacity expansion relies on X86, with Intel and AMD leading. The market is not a simple ARM replacement of X86; instead, major vendors are cooperating across architectures, resulting in a stable, dual‑architecture ecosystem.

Supply side analysis of the four core CPU vendors:

Intel: Remains the industry leader. Its IDM (integrated device manufacturing) model provides capacity advantage and operating leverage. Market share has stabilized at the bottom, with products moving toward high‑end segments. Intel does not follow AMD’s “CPU+GPU” co‑shipping model, leading to differentiated competition and a focus on self‑developed CPUs. Its foundry business (IFS) emerges as a secondary growth curve.

AMD: Shows the highest exposure to AI (CPU+GPU) among the four, with notable performance elasticity. Deep hardware‑software integration of CPU and GPU and a mature product ecosystem are highlighted, though potential capacity constraints are noted.

ARM: Benefits from rapid ecosystem expansion, with royalty and licensing revenues driving growth. Development of its own CPUs creates new volume, but short‑term capacity may become a bottleneck. Growth is tied to the consumer‑electronics cycle, and AI business weight remains relatively low.

Qualcomm: Leads the consumer‑grade CPU segment and acts as an “architecture‑level customizer + cross‑terminal reuse” player within the ARM ecosystem. Its low‑power, highly customizable designs enable it to repurpose TSMC capacity originally allocated for consumer CPUs toward high‑value CPU/accelerator solutions, offering a full‑stack offering that has attracted interest from leading AI technology firms.