“Fiscal Q2 was a strong quarter for industrial IoT with notable new partnerships and recently the completion of two strategic acquisitions increasing our confidence in executing on our industrial IoT revenue target of $4 billion by fiscal 2029.”

In context

“strong demand in automotive for the Snapdragon Digital chassis and we are on course to reach our fiscal 2029 revenue target of $8 billion. During the quarter, we secured 30 new designs including five ADAS programs as well as designs from Chinese automakers such as Nio, Zeekr, Great Wall, Dongfeng and more. We also saw 14 commercial vehicle launches from global automakers utilizing our platforms with a total of 29 commercial vehicle launches since the start of the fiscal year. Additionally, last week at the Shanghai Auto show, we announced new collaborations with Visteon and PATEO to create next generation AI intelligent cockpit solutions based on our Snapdragon Cockpit Elite and with Disa SV to jointly deliver a suite of pre integrated ADAV solutions that support L1 and L2 plus functions. Fiscal Q2 was a strong quarter for industrial IoT with notable new partnerships and recently the completion of two strategic acquisitions increasing our confidence in executing on our industrial IoT revenue target of $4 billion by fiscal 2029. In a major step toward advancing industrial intelligence at the edge, we're collaborating with Palantir to integrate their Ontelligent enterprise systems and AI capabilities on our advanced platforms. This collaboration will enhance real time insights and data driven decisions in remote and offline environments, enabling OEMs and enterprises to deploy scalable AI solutions for manufacturing, industrial and automotive applications. We acquired Edge Impulse, one of the industry's leading edge AI development platforms which enables more than 170,000 developers to build solutions for a wide range of applications such as asset tracking and monitoring, manufacturing anomaly detection and predictive maintenance systems using various AI capabilities including computer vision, time series, data, a”