Cristiano Amon
President & Chief Executive Officer at QUALCOMM
Thank you, Mauricio, and good afternoon, everyone. Thanks for joining us today. In a challenging macroeconomic environment and broad downturn across the semiconductor sector, we're pleased to deliver fiscal Q2 results consistent with our prior guidance.
We delivered fiscal Q2 revenues of $9.3 billion. Non-GAAP earnings of $2.15 per share were at the midpoint of our guidance. Our chipset business delivered revenues of $7.9 billion, near the high-end of our guidance range. Our licensing business delivered revenues of $1.3 billion at the low-end of the guidance range on weaker demand for handsets.
The evolving macroeconomic backdrop has resulted in further demand deterioration, particularly in handsets at a magnitude greater than we previously forecasted. As a result, we're operating under the assumption that inventory drawdown dynamics remain a significant factor for at least the next couple of quarters.
Additionally, while expectations are for a rebound in China demand in the second half of the calendar year, we have not seen evidence of meaningful recovery and are not incorporating improvements into our planning assumptions. While the challenges we are facing are impacting the semiconductor industry, we remain focused on managing what is within our control and we'll continue to execute on our diversification strategy in leading technology and product roadmap. As market visibility remains limited, we're actively managing operating expenses and we'll continue to evaluate additional opportunities to drive greater operating efficiencies without losing sight of the automotive and IoT growth opportunities ahead.
Let me now provide key highlights from across our business. In handsets, we extended our 5G technology and product leadership with the Snapdragon X70 5G modem-RF system, the world's first 5G advanced-ready modem-RF platform that will drive the next phase of new 5G capabilities globally, starting in 2024 across segments, device types and networks. The X75 modem is now the benchmark for 5G performance and features for all flagship smartphone launches next year.
Our Snapdragon 8 Gen 2 mobile platform is the standard for Android flagship devices globally with launches across leading OEMs, including Samsung, Xiaomi, Vivo, Oppo, OnePlus, Honor, Motorola, ASUS and ZTE. Additionally, our Snapdragon 7-Series is redefining the high-tier. Our recently launched Snapdragon 7+ Gen 2 mobile platform outperforms its competitors' premium tier solutions, winning multiple accolades for its superior power and performance. We are seeing excellent adoption across Chinese OEMs, resulting in share gains. OEMs are also reporting strong initial sales for products powered by the 7+ Gen 2.
In automotive, we see continued traction across global automakers and Tier 1 customers, driven by the increased adoption of our Snapdragon Digital Chassis. We are very pleased to be partnering with Mercedes-Benz on our next generation Snapdragon Digital Cockpit Platforms. This is a result of our long and close collaboration with the ambition Mercedes-Benz software, factory and engineering teams and various partners to create an industry-leading MB.OS premium cockpit experience. The new platforms will be featured in Mercedes vehicles beginning in 2023.
Additionally, our OEM partners recently launched vehicles with our third-generation Snapdragon Cockpit Platform, including the Xpeng P7i and Lotus' new Eletre SUV. Notably, during the quarter, we won 12 new designs across our Snapdragon Cockpit and Snapdragon Connectivity 5G Platforms with automakers across the globe. We remain on track to execute on the milestones outlined during Automotive Investor Day.
In Consumer IoT, we continue to be encouraged by the positive momentum with Windows on Snapdragon. Dell recently launched the Inspiron 14-inch laptop, powered by the Snapdragon 8cx Gen 2 Compute Platform. In addition to OEMs, we're expanding our ecosystem across bios [Phonetic], hardware, software, ODM and channel partners. We're also launching the Windows on Snapdragon Developer portal to enable consumer and enterprise ISVs to test, port and optimize their applications directly on Qualcomm silicon.
Our next generation Snapdragon Compute Platform with customer Oryon CPUs, an industry-leading AI acceleration is on schedule to enable commercial device launches in 2024. As a reminder, we remain the platform of choice for all significant ecosystem players for XR, notably Meta, the joint partnership with Samsung and Google and broadly in China. While still in its early phases, we believe the merger of physical and digital spaces will become a significant opportunity for Qualcomm. We also continue to win designs for home robotics, smart appliances and smart camera applications with household names such as Bosch, LG Electronics, Panasonic, Samsung and Sony.
In Edge Networking IoT, we're very pleased to share that we are now collaborating with Reliance Jio on rolling out 5G FWA across India, servicing millions of residents. We also recently announced the Qualcomm 5G Fixed Wireless Access Platform Gen 3, offering operators the ability to expand their service coverage to new areas, while lowering cost and enabling faster deployment. Additionally, we continue to lead the transition to Wi-Fi 7 with more than 175 cumulative designs across all product categories. Access points account for 89 of these designs with 16 launches in the quarter.
In Industrial IoT, we announced the Qualcomm Aware Platform to empower developers and enterprises to easily build real-time intelligence and visibility solutions. The platform combined simple, secure and scalable cloud-based services with power-optimized and precise location tracking and an extensive hardware ecosystem to deliver tailor edge solutions across many industries. Additionally, we led the Bluetooth SIG working group to help establish a new standard for electronic shelf labels that are scalable, ultra-low power and highly secure. This will help enable large retailers to accelerate the digital transformation of the store with electronic labels that can interact with both store and consumer devices.
Our OEM partner, SES-imagotag recently announced an agreement with Walmart to deploy electronic shelf labels across 500 stores over the next 12 months to 18 months.
I would now like to provide a perspective on the disruptive trends in the artificial intelligence space and the significant opportunity for Qualcomm. Demand for generative artificial intelligence models is growing at an exponential rate. Generative AI models such as ChatGPT, Stable Diffusion and DALL-E have already scaled to millions of users in a short period of time. We believe that these models will evolve quickly, continue to grow in popularity and change user experiences across mobile, personal computing and automotive.
Beyond changing Internet search, these models will have an impact on content creation, such as text, images, audio and video for both entertainment and productivity. It will also transform many industries. For these models to realize their full potential and scale, they will need to run locally on devices at the edge.
At Mobile World Congress, we demonstrated the world's first on device stable diffusion a greater than 1 billion parameter foundational model for text to image applications running completely on a Snapdragon powered Android smartphone. In the coming months, we will significantly improve performance and be able to run models in excess of 10 billion parameters locally on the device. And we will increase this capability substantially for products in 2024.
Qualcomm is uniquely positioned to enable the proliferation of AI use cases on edge devices. We're advancing AI to make core on-device capabilities ubiquitous, such as perception, reasoning, action and now content creation. With millions of AI-enabled platform shipments per year, unparalleled AI processing performance per watt in the broadest range of device categories from smartphones to PCs, automotive and IoT. Qualcomm is firmly at the forefront of this upcoming transformation.
Further, very large AI models are placing significant incremental demands on energy-intensive and expensive cloud computing infrastructure. As such, a hybrid AI architecture, leveraging celebrating computing at the edge can offload or support cloud processing by running AI Inferencing directly on the device. Beyond cost optimization, additional benefits of running generative AI on device include improved latency, security, privacy and the ability to meet data compliance requirements. This is a new and exciting opportunity for Qualcomm, and one of our priority investment areas.
As I close my prepared remarks, I would like to reiterate that the secular technology trends driving the long-term growth opportunities for Qualcomm remain unchanged. Despite the disappointing macroeconomic environment, our investments in technology leadership, our best product roadmap in history and strategic customer relationships across multiple industries, position us well to execute on our strategy and expand across new and diverse end markets.
I would now like to turn the call over to Akash.