Qualcomm has unveiled its diversification strategy, targeting strong growth across artificial intelligence, data centers, automotive, Internet of Things (IoT), industrial automation, robotics, networking, and personal AI computing. During its 2026 Investor Day, the company presented updated fiscal 2029 financial targets and outlined its roadmap to evolve from a mobile semiconductor leader into a full-stack AI computing platform company.
Cristiano Amon, President and Chief Executive Officer of Qualcomm, said the company is entering its next phase of growth by accelerating its edge diversification strategy while expanding across the entire compute continuum, from intelligent edge devices to cloud-based AI infrastructure. Qualcomm believes its strengths in low-power computing, artificial intelligence, and connectivity position it to capitalize on rapidly growing AI opportunities.
Qualcomm’s Fiscal 2029 Revenue Targets
Qualcomm expects non-handset revenues to reach $40 billion by fiscal 2029, reflecting significant expansion beyond smartphones.
The company expects its AI data center business to generate more than $15 billion in annual revenue by fiscal 2029 as hyperscale cloud providers increasingly deploy power-efficient AI infrastructure.
Its automotive business is projected to reach $10 billion in annual revenue, supported by growing adoption of advanced driver assistance systems (ADAS), autonomous driving platforms, connected vehicles, and digital cockpit technologies.
Qualcomm forecasts more than $14 billion in annual revenue from its IoT business.
Within IoT, the company expects industrial, networking, and robotics businesses to contribute $8 billion, driven by AI-powered factories, industrial automation, enterprise networking, edge computing, and robotics deployments.
Its Personal AI and Compute business is expected to generate $6 billion in annual revenue as AI-enabled PCs, intelligent laptops, smart glasses, wearables, and next-generation edge devices gain wider adoption.
By fiscal 2029, Qualcomm expects handsets to represent approximately one-third of QCT revenues, highlighting the company’s successful transition into a diversified computing platform.
$1.7 Trillion AI Opportunity
Qualcomm believes AI computing will increasingly become distributed across devices, edge infrastructure, and cloud platforms over the next 3 to 5 years.
The company sees major growth opportunities across:
Agent-ready edge devices
AI data center infrastructure
Automotive platforms
Industrial AI systems
Networking equipment
Robotics
Together, these markets represent a total addressable market of approximately $1.7 trillion by 2030.
Three Strategic Pillars
Qualcomm’s future growth strategy is built around three major pillars.
The first focuses on rack-scale AI data center infrastructure, delivering power-efficient AI performance for hyperscale cloud deployments.
The second centers on agentic and physical AI computing everywhere, enabling AI compute leadership from devices to the cloud through one of the industry’s broadest semiconductor portfolios. The strategy spans future mobile edge devices alongside automotive, industrial, networking, and robotics applications through full-stack execution.
The third pillar transforms Qualcomm from silicon to platform solutions, offering fully integrated hardware, software, operating systems, frameworks, runtimes, and AI developer ecosystems.
Qualcomm’s Technology Scale
Qualcomm highlighted several competitive advantages supporting its long-term expansion.
The company owns more than 200,000 patents and patent applications worldwide and has invested more than $110 billion in cumulative research and development.
Its technology portfolio spans:
CPU
NPU
GPU
DSP
ISP
HBC
Camera
Vision Intelligence
Video
Audio
Perception
Safety and industrial-grade technologies
Cellular
Wi-Fi
Bluetooth
RF Front-End
Satellite
Wireline networking
Advanced packaging
Custom and 3D packaging
Power and thermal management
System optimization
Software frameworks
Operating systems
Runtimes
Developer ecosystem support
Manufacturing and Supply Chain Scale
Qualcomm also showcased the scale of its engineering and manufacturing ecosystem.
The company processes more than 2.5 million wafers annually, including more than 1 million leading-node wafers.
It has completed more than 75 chip tapeouts, including more than 30 leading-node chip tapeouts, while producing 10 billion chips.
Its global manufacturing ecosystem includes:
12 foundry partners
12 OSAT partners
12 substrate partners
19 memory partners
more than 20 test partners
13 contract manufacturing partners
Qualcomm said it can ramp manufacturing from 0 to more than 100,000 wafers within six months and reduce the time from tapeout to commercial launch for a 2 nm handset chip to just eight months.
Looking Beyond 2029
Looking beyond fiscal 2029, Qualcomm expects continued secular growth across AI data centers, robotics, ADAS, autonomous driving, industrial AI, personal AI computing, and 6G technologies. The company believes agentic AI will trigger the next major upgrade cycle for intelligent connected devices while strengthening its leadership across the entire AI compute continuum — from edge devices to hyperscale cloud infrastructure.
The Investor Day strategy was presented by Cristiano Amon together with Akash Palkhiwala, Chief Financial Officer and Chief Operating Officer, Tony Pialis, Executive Vice President and General Manager of Data Center, and Nakul Duggal, Executive Vice President and Group General Manager for Automotive, Industrial and Embedded IoT, and Robotics.
BABURAJAN KIZHAKEDATH
