Qualcomm shares jumped more than 10% in early after-hours trading after the semiconductor company announced a target of more than $15 billion in annual data-center revenue by fiscal 2029.
The ambitious forecast, presented during Qualcomm’s 2026 Investor Day, reflects management’s effort to transform the business from a company primarily associated with smartphone processors and modems into a broader supplier of AI data center chips, custom silicon, automotive platforms, and edge-computing technology.
Qualcomm also disclosed that Microsoft and Meta Platforms will use its new data-center products. The customer announcements give investors evidence that its AI strategy is moving beyond product roadmaps and into commercial deployments.
Qualcomm Sets a Major Data Center Revenue Goal
Qualcomm expects its data-center business to generate more than $15 billion in revenue during fiscal 2029. The target is significant relative to the company’s existing scale and far above the more cautious forecasts previously circulating among Wall Street analysts.
Before the event, Bank of America had estimated that Qualcomm could generate between $2 billion and $5 billion in annual AI chip revenue during the 2027–2028 period. The new target indicates that management sees a substantially larger opportunity as its accelerator, CPU, and custom-chip businesses mature.
The forecast is a long-term objective rather than guaranteed revenue. Qualcomm must still move new products into volume production, complete customer qualifications, and compete against companies with established data-center franchises.
The market’s initial response nevertheless suggests that investors view the target as a potential turning point for the Qualcomm stock outlook.
Meta and Microsoft Validate Qualcomm’s AI Strategy
Two of the most important announcements involved Meta and Microsoft.
Meta entered a strategic, multi-generation agreement involving Qualcomm’s data-center CPUs. Microsoft will use Qualcomm’s new High Bandwidth Compute technology, which is designed to support AI workloads using a different memory architecture from systems built around expensive high-bandwidth memory.
Qualcomm also said it is developing custom chips for two unnamed hyperscale customers. Revenue from those engagements is expected to begin before the end of calendar 2026.
Hyperscalers are large cloud and internet companies that operate enormous data centers. Winning these customers can create substantial recurring revenue because chip designs may be deployed across multiple product generations and large server fleets.
The design wins do not guarantee that Qualcomm will immediately capture a major share of the AI chip market. They do, however, give the company recognized customers that can help establish the credibility of its technology.
For investors evaluating AI stocks, customer validation may be more important than product specifications alone. Data-center operators generally conduct extensive testing before committing to a new processor architecture.
Qualcomm Introduces the Dragonfly Data Center Portfolio
Qualcomm used Investor Day to expand its Dragonfly product roadmap for the agentic AI era.
The portfolio includes the Dragonfly C1000, a CPU designed specifically for AI data centers, as well as inference accelerators and custom application-specific integrated circuits. Inference refers to the computing process used when a trained AI model responds to users, generates content, or performs automated tasks.
Qualcomm is emphasizing energy efficiency and lower memory costs as competitive advantages.
Its High Bandwidth Compute architecture is designed to use relatively affordable memory technology commonly found in smartphones and personal computers. That differs from many Nvidia systems, which depend on high-bandwidth memory that has become expensive and difficult to obtain during the AI infrastructure boom.
A lower-cost memory approach could appeal to customers seeking to reduce the cost of operating large AI inference workloads.
However, total performance, software support, networking, reliability, and ease of deployment will also determine adoption. Data-center customers generally evaluate the full computing platform rather than choosing processors based on chip pricing alone.
The Modular Acquisition Strengthens Qualcomm’s Software Position
Qualcomm also agreed to acquire AI software startup Modular in an all-stock transaction valued at approximately $4 billion.
Modular develops software intended to let AI models run across different types of processors without forcing developers to rewrite significant portions of their code for each hardware platform. The acquisition is expected to close during the second half of 2026.
Software is one of the largest barriers facing companies that compete with Nvidia.
Nvidia’s CUDA platform has created a broad ecosystem of development tools, libraries, and applications optimized for its chips. Customers may hesitate to move workloads to competing processors when doing so requires costly software changes.
Modular could help Qualcomm reduce that friction by offering a more hardware-independent development environment.
The acquisition also introduces risks. Qualcomm will issue as many as 19.2 million shares as part of the transaction, creating potential dilution for existing investors. The company must also integrate Modular’s software and turn it into a commercially attractive platform.
Why Qualcomm Is Moving Beyond Smartphones
Qualcomm remains the leading supplier of premium smartphone processors, modems, and wireless technology, but its traditional market faces several challenges.
Global handset demand is mature, memory shortages have pressured device manufacturers, and major customers are developing more components internally. Apple has been reducing its reliance on Qualcomm modems, while Samsung uses a mixture of Qualcomm and internally designed processors.
Data centers offer a much larger growth opportunity.
AI companies and cloud providers are investing heavily in accelerators, CPUs, networking equipment, and custom chips. Qualcomm believes its expertise in low-power computing can be adapted from smartphones and edge devices to large-scale infrastructure.
The company is also expanding in automotive systems, industrial technology, PCs, robotics, and Internet of Things products. During fiscal 2025, Qualcomm generated $44.3 billion in total revenue, with combined automotive and IoT sales growing faster than the broader business.
Reaching more than $15 billion in data-center revenue would materially change Qualcomm’s sales mix and reduce its exposure to handset cycles.
Competition Will Be Intense
Qualcomm is entering one of the most competitive areas of the semiconductor market.
Nvidia dominates AI accelerators and benefits from a deeply established software ecosystem. Broadcom and Marvell have built strong custom-silicon businesses, while AMD, Arm, Amazon, Google, and other technology companies are developing their own data-center processors.
Qualcomm must demonstrate that its products deliver competitive performance, energy efficiency, and total cost of ownership.
It must also convince customers that its roadmap will remain consistent over multiple generations. Data-center operators are unlikely to shift important workloads to a new supplier unless they have confidence in long-term product support.
Execution risk is therefore substantial. A $15 billion target requires successful product launches, major customer deployments, reliable manufacturing, and a capable software ecosystem.
What the Investor Day Means for QCOM Stock
The investor-day announcements strengthen the long-term growth narrative for QCOM stock.
The bullish case is that Qualcomm can use its existing processor technology, connectivity portfolio, and energy-efficiency expertise to establish a meaningful position in AI infrastructure. Customer agreements with Meta and Microsoft provide early support for that argument.
The cautious view is that the fiscal 2029 target remains several years away and requires Qualcomm to gain share from powerful incumbents.
Investors should watch actual data-center revenue rather than relying exclusively on long-term targets. Initial shipments during 2026, customer expansion, gross margins, and development costs will provide clearer evidence of whether the strategy is working.
For long-term investing, Qualcomm’s diversification may reduce reliance on smartphones, but the company must prove it can convert design wins into profitable, repeatable revenue.
FAQ
What is Qualcomm’s data center revenue target?
Qualcomm is targeting more than $15 billion in annual data-center revenue by fiscal 2029.
Why did Qualcomm stock rise after Investor Day?
Shares rose more than 10% in early post-market trading after Qualcomm announced the $15 billion target and revealed major customer agreements involving Microsoft and Meta.
What data center chips is Qualcomm developing?
Qualcomm is developing Dragonfly CPUs, AI inference accelerators, High Bandwidth Compute products, and custom ASICs for hyperscale customers.
How does Qualcomm compete with Nvidia?
Qualcomm is emphasizing energy efficiency, lower-cost memory, custom chip designs, and software that can support AI models across multiple hardware platforms. Nvidia retains major advantages in market share and its CUDA software ecosystem.
Is Qualcomm still dependent on smartphones?
Smartphones remain a major source of Qualcomm’s revenue, but the company is expanding into data centers, automotive systems, industrial AI, PCs, and connected devices to create a more diversified business.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always conduct your own research before making any investment decisions.
