When will Qualcomm's Dragonfly C1000 chip be available?

Production is set to begin in the second half of 2028. The Dragonfly C1000 is a data center CPU designed for agentic AI workloads and is expected to power Meta's next-generation server fleet.

How much is Qualcomm paying to acquire Modular?

Qualcomm agreed to acquire Modular for $3.92 billion（約6300億円）. The company said the acquisition is aimed at strengthening its ability to deliver a more optimized artificial intelligence compute layer.

What is Qualcomm's automotive revenue target?

Qualcomm expects automotive revenue to reach $10 billion（約1.6兆円） by fiscal 2029. The company said its automotive business is on track to exit FY2026 at a $6-billion annualized revenue run rate, and its automotive design-win pipeline has grown to $65 billion（約10兆円）.

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Qualcomm jumps 15% after announcing $40 billion（約6.4兆円） non-handset revenue target by 2029 and securing a major deal to supply AI data center chips for Meta.

Yahoo Finance AI1d ago5 min read

Key takeaway

Qualcomm announced fiscal 2029 revenue targets that double its non-handset business to $40 billion（約6.4兆円）, driven by a new deal to supply data center AI chips for Meta and a $15 billion（約2.4兆円）-plus annual data center AI infrastructure revenue goal. The stock surged nearly 15% after-hours on investor confidence that the company is transitioning from smartphones to the larger AI infrastructure market.

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3 Key Points

What happened
Qualcomm doubled its fiscal 2029 non-handset revenue goal to $40 billion（約6.4兆円） and announced a partnership with Meta to supply data center CPUs, including the Dragonfly C1000 chip expected to enter production in the second half of 2028. The company also set a data center AI infrastructure revenue target of more than $15 billion（約2.4兆円） annually by fiscal 2029.
Why it matters
The shift from smartphones to data center AI infrastructure signals that Qualcomm is positioning itself for the largest growth opportunity in computing. Securing a hyperscaler (large cloud provider) like Meta validates its custom silicon strategy and opens a new revenue stream as AI infrastructure spending accelerates.
What to watch
Qualcomm's custom silicon business is projected to begin contributing meaningful revenue from Q1 2027, and production of the Dragonfly C1000 is set for the second half of 2028. The company also agreed to acquire software firm Modular for $3.92 billion（約6300億円） to strengthen its AI compute capabilities.

FAQ

When will Qualcomm's Dragonfly C1000 chip be available?: Production is set to begin in the second half of 2028. The Dragonfly C1000 is a data center CPU designed for agentic AI workloads and is expected to power Meta's next-generation server fleet.
How much is Qualcomm paying to acquire Modular?: Qualcomm agreed to acquire Modular for $3.92 billion（約6300億円）. The company said the acquisition is aimed at strengthening its ability to deliver a more optimized artificial intelligence compute layer.
What is Qualcomm's automotive revenue target?: Qualcomm expects automotive revenue to reach $10 billion（約1.6兆円） by fiscal 2029. The company said its automotive business is on track to exit FY2026 at a $6-billion annualized revenue run rate, and its automotive design-win pipeline has grown to $65 billion（約10兆円）.

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Qualcomm jumps 15% after announcing $40 billion（約6.4兆円） non-handset revenue target by 2029 and securing a major deal to supply AI data center chips for Meta.

Key takeaway

3 Key Points

FAQ

Discussion

Related Articles

Microsoft, Palantir, and MicroStrategy stocks fell to 52-week lows as investors reassessed the financial burden of AI infrastructure spending and other risks.

Apple and Microsoft's price increases confirm AI chip costs have reached consumers, rattling Asian tech stocks and threatening broader market momentum.

AMD is acquiring MEXT, an AI memory optimization company, to address data center bottlenecks in how quickly systems move data in and out of memory.

SoftBank's Masayoshi Son wants Arm to evolve from chip design licensing into selling complete processors and AI infrastructure—a shift that could dramatically increase revenue but also pit the company against its own customers.

Micron's record memory-chip quarter signals that demand for AI accelerators is locked in years ahead, offering encouragement for Nvidia investors despite near-term memory cost pressures.

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Stay ahead with AI news