UBS: Agentic AI to Expand Server CPU TAM Fivefold by 2030
UBS analyst Timothy Arcuri believes the rise of agentic AI is fundamentally restructuring data center architecture, expanding the server CPU total addressable market (TAM) from $30 billion in 2025 to approximately $170 billion by 2030—a roughly fivefold increase.
Key Numbers
According to UBS analyst Timothy Arcuri, the emergence of agentic AI is fundamentally reshaping data center architecture, moving beyond simple GPU-centric training toward complex workload orchestration. This shift is expected to catalyze a significant expansion in the server CPU Total Addressable Market (TAM).
Forecast Details
The bank estimates the server CPU TAM could grow roughly fivefold by 2030, rising from a $30 billion baseline in 2025 to approximately $170 billion. The growth is driven by increasing demand for powerful CPUs to manage and orchestrate complex AI tasks.
Analyst's Rationale
Arcuri argues that current data center infrastructure, focused on GPUs, is insufficient for agentic AI workloads. This type of AI requires real-time data processing and decision-making, boosting demand for high-performance CPUs.
Context
The analysis comes amid intense competition between AMD and Intel in the server CPU market. AMD continues to gain market share with its EPYC processors, while Intel is bolstering its offerings with the Sapphire Rapids platform. Both could benefit from the expected market expansion.
What It Means for Investors
If UBS's forecast materializes, the server CPU market presents a massive growth opportunity. Investors in AMD and Intel may benefit, but monitoring each company's ability to innovate and capture market share in this rapidly evolving space is crucial.
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