Gasgoo Munich- The ADAS industry has reached an awkward inflection point.
According to Gasgoo Auto Research Institute, L2-and-above ADAS installations on new cars in China hit 1.1 million units in August 2026, pushing penetration to 73.6%. Within that, L2++ models—covering both highway and urban NOA—reached 545,000 units. Advanced assisted driving is steadily becoming standard equipment.
Yet having it installed doesn't mean it's being used well. A Gasgoo user survey paints a different picture: drivers remain largely unfamiliar with new ADAS features. Safety, emergency handling, and system errors still top the list of consumer concerns.
In other words, expensive features spend most of their time dormant. The hardware is deployed, but trust hasn't kept pace.
It is against this backdrop that Huawei Qiankun's National Day travel report takes on a significance beyond corporate messaging. While most rivals still cherry-pick data to highlight isolated wins, Huawei Qiankun took a more rigorous path: fine-grained data, realistic scenario coverage, and radical transparency, letting users judge on facts, not promises.
Huawei Qiankun's Data Disclosure Redefines the Game
Lately, several brands have published their ADAS mileage, usage, and activation rates. The trend is clear: as penetration climbs, touting installation numbers no longer wins over end users. What matters now is real-world usability: how drivers actually use these systems after driving off the lot.
But how should usage be measured? Every company uses its own math, and without unified metrics, the question for consumers shifts from "Which system is better?" to "Who should I trust?"
The root of that confusion lies in the metrics companies choose to disclose.
Look across the industry and a pattern emerges: cumulative mileage is the go-to metric. Doubled total ADAS miles, single-car records nearing 10,000 km—the numbers are grand and look impressive, but they are nearly impossible to verify.
Huawei Qiankun, by contrast, disclosed a different set of metrics, starting with active user share. Over the seven-day National Day holiday, ADAS active users reached 1.597 million, or 90.17% of the total. This is not the activation rate of pre-installed hardware or a one-off trial conversion. It is the true share of drivers actively engaging ADAS during the year's most complex travel scenarios.
Image Source: Huawei Qiankun
Safety outcomes give this usage data even more weight. During the holiday, the system proactively averted 58,200 potential collisions, triggered defensive driving under human control 14,500 times, issued 20.92 million fatigue alerts, and 54.75 million distraction warnings. Each intervention maps to a real-world split-second risk, data you simply cannot simulate in a lab. It only comes from high-frequency, real-world engagement.
Image Source: Huawei Qiankun
Here lies an easily overlooked logic: the sheer volume of safety interventions proves users are genuinely relying on the system, not just test-driving it. Only a system used consistently over time can reliably catch these imminent risk moments.
Safety and usage data validate each other, pointing to one reality: Huawei Qiankun has woven itself into the fabric of everyday driving.
The Power of Scale: Not Just a Sales Milestone, but the Catalyst for a Data Loop
Grasping the strategic weight of this National Day report requires viewing it through the lens of scale.
In August 2026, Huawei Qiankun ADAS installations surpassed 2 million units. While the first million took 44 months, the second took just 12, a sharp acceleration. The system now partners with 25 brands across more than 60 models, spanning mainstream to flagship price tiers.
Image Source: Huawei Qiankun
Hitting the 2-million mark matters far beyond sales. As Gasgoo notes, ADAS algorithm iteration relies heavily on continuous input of real-world data. Too small a fleet means a shallow data pool and sluggish iteration. At scale, daily driving scenarios naturally capture most long-tail edge cases, accelerating algorithm improvement exponentially.
A 2-million-unit fleet provides the foundation for a high-speed iteration loop.
The logic is self-reinforcing. Scale yields data, data refines algorithms, and algorithms elevate the experience. Better experience drives more active use, which in turn deepens the data pool. Within this data flywheel, every ADAS activation and every safety intervention generates training material for the next algorithm generation.
The National Day report shows ADS Max V5.0 accounting for 60.8% of ADAS mileage, proof the flywheel is accelerating. Users are not merely passive participants; they are actively migrating to the latest software.
Underpinning this acceleration are generational leaps in hardware and evolving architecture. The foundation of Huawei Qiankun's ADS 5 is its "smart brain" and "sharp eyes".
That "smart brain" starts with raw power: 60 EFLOPS of cloud computing, ranking first in China. It extends to mature reasoning via the WEWA 2.0 world model and industry-leading algorithms. It also reflects deep experience, with over 16.5 billion km of real-user ADAS mileage, another domestic first. Compute delivers training efficiency, algorithms provide the cognitive framework, and data supplies the training material. Together, they give ADS nuanced reasoning and rapid reflexes. This enables continuous evolution and ever-smarter safety capabilities.
The "sharp eyes" reflect Huawei Qiankun's longstanding commitment to multi-sensor fusion. Beyond high-res cameras, the suite includes an 896-line dual-optical-path image-grade lidar, which has the highest line count in the industry. The suite also features an industry-first high-precision solid-state lidar and distributed millimeter-wave radar. Together, they form a hardware stack that maintains stable perception even in extreme scenarios, guarding travel safety.
A smart brain and sharp eyes work in tandem. The decision-making side sharpens judgment efficiency, while the perception side pushes the boundaries of clarity. Together, they anchor the data flywheel's acceleration. Once that flywheel spins at speed, catching up requires more than matching a single technology. Rivals must overcome a compound barrier of "data scale plus iteration speed". This also validates Huawei Qiankun's "electronic screw" strategy. By skipping car manufacturing to serve as an incremental component supplier, it decouples ADAS adoption from any single brand's sales. The broader ecosystem can then drive the push.
For consumers, it means accessing a more mature ADAS experience at the same price point. For the industry, it means the pace of ADAS adoption is set by collective ecosystem momentum, not the fortunes of any single automaker.
The Takeaway: Turning "Trust" into a Verifiable Public Standard
China's ADAS industry is undergoing a fundamental shift in competitive logic.
For years, the industry's refrain was proving capability. Peak compute, sensor count, and the number of unlocked cities were the core KPIs. As penetration surges, however, that narrative is losing its impact. Consumers are no longer asking if a car has ADAS; they are asking if they dare to use it.
The competitive benchmark has shifted from who tells the best story to who gets the most real-world use. Beneath this pivot lies a deeper industry transition: from technology-driven to trust-driven.
The true significance of Huawei Qiankun's National Day report is its conversion of trust from a vague concept into a traceable, cross-verifiable set of public data. This is Huawei Qiankun's essential contribution to the industry. When disclosures can be verified, trust costs fall. If data transparency evolves from a corporate choice into an industry standard, it will accelerate ADAS's leap from technical credibility to societal acceptance.
