
Qualcomm is pursuing two major growth drivers: deepening its partnership with Samsung to supply Snapdragon chips for premium Galaxy devices and AI-powered smart glasses, and establishing itself as a major supplier of custom AI chips to hyperscalers like Microsoft and Meta. The company targets at least $5 billion(約8000億円) in annual AI data-center revenue by fiscal 2027 and $15 billion(約2.4兆円) by fiscal 2029, marking a strategic shift away from smartphone-only dependence toward diversified AI computing.
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Qualcomm is expanding its Samsung partnership to power Galaxy smartphones, smartwatches, and future AI-enabled smart glasses with Snapdragon chips, while simultaneously building AI infrastructure collaborations with Microsoft and Meta. The company has announced a target of at least $5 billion(約8000億円) in annual AI data-center revenue by fiscal 2027 and $15 billion(約2.4兆円) annually by fiscal 2029.
Why it matters
Qualcomm is attempting to reduce its dependence on the cyclical smartphone market by diversifying into custom AI ASICs, server CPUs, and AI inference accelerators for hyperscale cloud providers—a shift that could represent one of the most significant strategic transformations in the company's history. Securing more Snapdragon chips for Samsung's flagship models will provide higher premium chipset shipments and stronger near-term revenue visibility.
What to watch
Whether Qualcomm can execute on its AI infrastructure roadmap and achieve the fiscal 2027 and 2029 revenue targets, competing against established players like Nvidia, Intel, Advanced Micro Devices, and Broadcom in the data-center AI chip market.
Qualcomm is entering what the company describes as a new phase of growth, anchored by an expansion of its long-standing partnership with Samsung and a concerted push into artificial intelligence infrastructure. The Samsung collaboration will bring Snapdragon processors to Samsung's flagship Galaxy smartphones, smartwatches, and an emerging category of AI-powered smart glasses. This arrangement bolsters Qualcomm's established dominance in premium Android handsets and validates its leadership in on-device AI capabilities. Beyond smartphones, the partnership creates pathways to introduce Snapdragon into adjacent categories including AI PCs, XR (extended reality) devices, and broader connected technologies. For Qualcomm's QCT (Qualcomm CDMA Technologies) segment, which serves handset makers, the expanded Samsung commitments promise higher shipments of premium-tier chipsets and greater earnings visibility.
Parallel to the smartphone opportunity, Qualcomm is establishing itself as a major supplier of AI infrastructure components to large cloud providers. The company has been developing relationships with hyperscale providers and has announced formal collaborations with Microsoft and Meta Platforms. Qualcomm's AI infrastructure offerings include custom application-specific integrated circuits (ASICs), server CPUs, and AI inference accelerators. This move addresses a market currently led by Nvidia, Intel, Advanced Micro Devices, and Broadcom. According to management guidance, these AI infrastructure initiatives are expected to become a meaningful long-term revenue contributor, with targets of at least $5 billion(約8000億円) in annual AI data-center revenue by fiscal 2027 and $15 billion(約2.4兆円) annually by fiscal 2029. Achieving these goals would constitute one of the most significant strategic transformations in Qualcomm's history, fundamentally rebalancing the company away from smartphone dependence toward diversified AI computing platforms.
Qualcomm's dual-catalyst strategy represents a fundamental shift in how the company approaches long-term growth. For decades, Qualcomm has been synonymous with smartphone chipsets, particularly its dominant Snapdragon platform in premium Android phones. The expanded Samsung partnership reinforces this leadership by securing supply agreements for more flagship models, which translates directly to higher average selling prices and greater revenue visibility—especially as on-device AI becomes a key differentiator in smartphones. However, the company recognizes that smartphone markets are inherently cyclical, and consumer upgrade cycles can compress earnings unpredictably.
The strategic pivot into AI infrastructure addresses this vulnerability. By developing custom AI chips, server CPUs, and inference accelerators for hyperscalers, Qualcomm is entering a market currently dominated by Nvidia, Intel, Advanced Micro Devices, and Broadcom. The announced partnerships with Microsoft and Meta signal that hyperscalers view Qualcomm as a credible alternative supplier, validating the company's technical approach. The $5 billion(約8000億円) target for fiscal 2027 and $15 billion(約2.4兆円) for fiscal 2029 are ambitious but reflect management confidence in both demand and execution. Achieving these milestones would fundamentally reshape Qualcomm's business mix and reduce its vulnerability to smartphone market downturns.
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