Qualcomm (QCOM) investor relations material

Strategic transformation and future direction

• Transitioning from a mobile-focused semiconductor company to a diversified edge and cloud computing leader, with three pillars: data center expansion, full-stack physical AI solutions, and integrated hardware-software platforms.

• Building a comprehensive data center portfolio, including custom silicon, AI accelerators, CPUs, and advanced connectivity, targeting a $1 trillion TAM and aiming for over 5% market share in 5–7 years.

• Acquired Modular to deliver an open, heterogeneous AI software stack, enabling seamless deployment across diverse hardware and bridging edge and data center AI.

• Strategic partnerships with Microsoft, Meta, Google, and Hugging Face to accelerate adoption of new compute architectures and open AI models across devices and cloud.

• Emphasis on developer-centric platforms, open ecosystems, and rapid product cycles to drive innovation and customer adoption.

Financial guidance and growth outlook

• Fiscal 2029 non-handset revenue target raised from $22B to $40B, with a 40% CAGR from 2025–2029.

• Data center revenue forecast: $5B in FY27, $15B in FY29, driven by custom silicon, AI accelerators, CPUs, and connectivity, with two hyperscaler customers each contributing over $1B in FY27.

• Automotive revenue target increased to $10B in FY29, with a $65B design win pipeline and leadership in digital cockpit, ADAS, and connectivity.

• IoT, industrial, and robotics expected to exceed $14B in FY29, with strong growth in personal AI, PCs, and industrial networking.

• Handsets projected to be less than one-third of revenue by FY29; long-term opportunity to scale total revenue to $100B.

New business developments and technology innovation

• Launching Dragonfly data center infrastructure, introducing HBC (high-bandwidth compute) to break memory bottlenecks and deliver 4–8x TCO advantage over competitors.

• Multi-generational product roadmap: AI250 (2027) and AI300 (2028) for near-memory compute, integrating advanced network fabrics and optical connectivity.

• C1000 server-class CPUs with >5GHz cores and >250 cores, targeting $200B market and multi-generational collaboration with Meta.

• Expanding physical AI leadership in automotive, industrial, and robotics, with full-stack platforms, rapid product cycles, and developer-first tools.

• Robotics business scaling rapidly with IQ10 SoC, reference designs, and over 100 engagements, aiming to lead the trillion-dollar embodied AI market.