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Chronicles

The story behind the story

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A look at Huawei's smart driving software unit, which became profitable in 2024 after revenue grew over 5x and is powering car systems by BYD, BMW, and others

Bloomberg :

Bloomberg

Context & Ripple Effects

Huawei’s automotive push moved from early autonomous-platform work and a $1B self-driving and EV research commitment to the 2024 launch of Qiankun as a dedicated driving-systems business. The unit’s profitability gives that strategy a commercial milestone rather than just an R&D narrative.

The result also builds on the broader supplier model visible at Yinwang, whose hardware-and-software business more than doubled revenue in 2023. Adoption by automakers including BYD and BMW matters because it demonstrates Huawei can sell its vehicle stack across manufacturers, not only through a single affiliated brand.

First-order effects

  • Huawei gains a profitable, fast-growing automotive software business and a stronger proof point when selling driving systems to carmakers.
  • BYD, BMW and other customers gain access to a supplier whose smart-driving unit now has demonstrated commercial scale, while becoming more dependent on its software roadmap and integration capabilities.

Second-order effects

  • Rival vehicle-software and ADAS suppliers face greater pressure to match Huawei’s integrated hardware-and-software offering and win automaker design slots.
  • Automakers may increasingly treat smart-driving software as a strategic supplier decision rather than a feature sourced piecemeal, concentrating value with vendors able to support multiple vehicle programs.

Third-order effects

  • If multi-brand adoption persists, automotive value chains could shift toward a smaller set of platform suppliers that control the integrated driving stack, leaving carmakers to differentiate through vehicle design, data and product execution.
  • The case strengthens the embedded-AI model in which recurring software and system sales can justify long development cycles; whether it becomes durable depends on continued automaker demand and successful deployment across models.

The trend: This is one data point in the commercialization of integrated AI driving stacks as automakers increasingly buy core vehicle intelligence from specialist technology suppliers.