Qualcomm targets $40B non-handset revenue by FY29

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Reviewed by
Jubin VScanX News Team
Key Highlights

Qualcomm Incorporated announced a fiscal 2029 non-handset revenue target of $40 billion at its 2026 Investor Day, driven by growth in AI, automotive, and IoT sectors. The company projects automotive revenue of $10 billion, IoT revenue exceeding $14 billion, and data center revenue surpassing $15 billion. Additionally, Qualcomm targets non-GAAP EPS of over $18 and GAAP EPS of over $14.50 for fiscal 2029.

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Qualcomm Incorporated has raised its fiscal 2029 non-handset revenue target to $40 billion, approximately double its prior goal, as it accelerates diversification into artificial intelligence, automotive, and IoT sectors. The company outlined this comprehensive strategy at its 2026 Investor Day, emphasizing its evolution into a platform company spanning the entire compute continuum. This aggressive expansion targets a combined total addressable market of approximately $1.7 trillion by 2030 across devices, edge, and cloud. Following the announcement, Qualcomm shares rose 12.75% in after-hours trading to $222.57.

Strategic Revenue Targets

Qualcomm's updated fiscal 2029 goals for its QCT business include specific revenue milestones for key growth verticals. The company targets automotive revenues of $10 billion and IoT revenues exceeding $14 billion. Within the IoT segment, the company projects $8 billion from industrial, networking, and robotics, and $6 billion from personal AI and compute. Additionally, Qualcomm unveiled a comprehensive data center AI infrastructure strategy with a revenue target exceeding $15 billion by fiscal 2029. Handsets are projected to represent approximately one-third of QCT revenues by fiscal 2029.

Financial Outlook

Alongside revenue targets, Qualcomm provided earnings guidance for fiscal 2029. The company targets more than $18 in non-GAAP diluted EPS and greater than $14.50 in GAAP diluted EPS. The company anticipates that multiple large markets will reach inflection points over the next 3 to 5 years, driven by the distribution of AI compute across devices, edge, and cloud.

Metric Target Amount Fiscal Year
Non-handset Revenue $40 billion 2029
Automotive Revenue $10 billion 2029
IoT Revenue >$14 billion 2029
Data Center Revenue >$15 billion 2029
Non-GAAP EPS >$18.00 2029
GAAP EPS >$14.50 2029

How will Qualcomm's entry into the data center AI infrastructure market impact its competitive relationship with established chipmakers like NVIDIA and AMD?

What specific technological milestones must be achieved to reach the projected $10 billion in automotive revenue given current industry adoption rates?

How might the capital requirements for this diversification strategy affect Qualcomm's free cash flow and shareholder returns in the interim period?

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Qualcomm and Hugging Face expand AI from device to cloud

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Reviewed by
Radhika SScanX News Team
Key Highlights

Qualcomm Technologies and Hugging Face are expanding their strategic relationship to advance open, developer-driven AI from devices to cloud infrastructure. The collaboration focuses on integrating Hugging Face's AI models onto Qualcomm platforms, enabling agentic AI orchestration, and offering Hugging Face Pro access to customers to streamline AI deployment.

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Qualcomm Technologies, Inc. and Hugging Face are expanding their strategic relationship to advance open, developer-driven artificial intelligence from devices to cloud infrastructure. This collaboration aims to unite Qualcomm’s device to data center platforms with Hugging Face’s global AI community and model ecosystem to enable a new era of agentic AI and hybrid inference at scale. The partnership is designed to unlock a unified AI experience by seamlessly connecting edge devices and cloud systems, allowing applications to intelligently balance performance, cost, and latency.

Strategic Integration

The collaboration focuses on three key pillars across the Qualcomm, Snapdragon, Dragonwing, and Dragonfly family of products. The first element involves connecting Qualcomm Technologies’ data center infrastructure with Hugging Face’s AI storage infrastructure. Hugging Face’s storage and inference services are planned to map to high-performance, energy-efficient data center solutions powered by Qualcomm Dragonfly products. This integration is expected to provide the global developer ecosystem with a direct path from model experimentation to production deployment of apps and agents.

Accelerated Deployment

The second element aims to accelerate AI model deployment across devices and data center racks powered by Qualcomm Technologies products. With over 3 million open models available, AI models from the Hugging Face ecosystem are planned to be onboarded onto Qualcomm platforms using an Agent that handles setup, optimization, and deployment with zero manual integration work. This initiative is intended to simplify the developer journey and reduce the time to deployment of AI applications and agents. As part of this engagement, Hugging Face will offer access to Hugging Face Pro to customers using devices or cloud systems with Qualcomm Technologies’ platforms.

Agentic AI Orchestration

The third element enables the orchestration of Agentic AI across device and cloud environments. Qualcomm Technologies and Hugging Face plan to support a distributed AI framework where intelligent agents can operate across on-device and cloud systems, dynamically orchestrating models and workflows based on performance, cost, privacy, and latency needs. Developers will be able to access Modular’s AI software components and tools via the Hugging Face ecosystem to build a seamless hybrid AI experience.

How will this partnership impact the competitive landscape for AI inference hardware against rivals like NVIDIA and Intel?

What specific cost and latency benefits can enterprises expect from adopting this hybrid AI orchestration framework?

How might the integration of Modular’s AI software components influence the adoption of Qualcomm’s platforms among enterprise developers?

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