Qualcomm Projects $15 Billion Annual Revenue from Server Chips by 2029

• June 25, 2026

Qualcomm unveiled its latest server-focused silicon offerings alongside its quarterly financial report, underscoring its growing ambitions in the datacenter market. The company introduced the Dragonfly C1000 server processors and the Dragonfly AI300 accelerators designed to optimize AI inference tasks, targeting hyperscale data center operators.

Strategic Push into Server Market

During its earnings announcement, Qualcomm emphasized its commitment to expanding its footprint beyond mobile and into the increasingly competitive server processor segment. The Dragonfly C1000 processors are engineered to handle demanding agent workloads in hyperscale environments, enabling more efficient processing for cloud providers and enterprise data centers.

Complementing the C1000 CPUs, the Dragonfly AI300 accelerators focus on accelerating machine learning inference, an area gaining substantial traction as artificial intelligence workloads continue to grow across industries. By offering a specialized AI inference chip, Qualcomm aims to provide datacenter customers with cost-effective and scalable solutions tailored for next-generation AI demands.

Leadership at Qualcomm expressed confidence that these new server chip lines will contribute significantly to future revenues. The company projects that by 2029, annual sales from its server processor business could reach approximately $15 billion, signaling strong expected market adoption and an expanding server portfolio.

This projection reflects Qualcomm’s belief in the rising importance of customized silicon in the data center sector. With hyperscalers seeking more efficient and powerful infrastructure components, Qualcomm appears positioned to compete with established suppliers by leveraging its expertise in advanced semiconductor design and AI integration.

The company did not release detailed technical specifications or pricing for the Dragonfly C1000 and AI300 chips at the time of the announcement. However, the stated focus on hyperscalar workloads and AI inference suggests a strategy to capture emerging growth opportunities tied to cloud computing and artificial intelligence applications.

Qualcomm’s move comes amid intensifying competition in the server processor market from incumbents and newer entrants aiming to capitalize on the growing demand for specialized hardware optimized for AI, machine learning, and large-scale data processing.

As data centers continue to evolve with increasing workloads dedicated to AI-driven services, Qualcomm’s latest server chip offerings and revenue forecasts signal its intent to become a notable player among hardware providers powering the digital infrastructure of the future.

Qualcomm aims to generate $15 billion yearly from server processors by 2029 with new Dragonfly C1000 and AI300 chip announcements.