Gasgoo Munich- The Chinese auto industry is shifting from "selling products" to "selling solutions."
But being "sourced" is not the same as being "accepted."
China has thousands of auto suppliers, yet as electrification and intelligence reshape the technological landscape, only a handful are genuinely "needed" by the global industrial ecosystem.
So, what kind of Chinese innovation actually has what it takes to go global?
Broken down, it must simultaneously satisfy four conditions:
Solving global common problems, validated by massive real-world use, possessing portability, and having systematic output capabilities.
These four are interlocking; none can be missing.
Solving Global Common Problems
In the era of internal combustion engines, the technological roadmap was defined by Europe, America, and Japan. Patent barriers for engines, transmissions, and chassis were firmly held by foreign capital, leaving China to trade market access for technology, doing only component supply, contract manufacturing, and localization. The power to define solutions never lay in its own hands.
After electrification and intelligence reconstructed the technological foundation, new tracks like power batteries and intelligent driving lacked the patent moats of century-old giants. Global players started almost at the same time, giving Chinese solutions their first opportunity to answer the proposition of "solving global common problems."
What constitutes a global common problem?
It is an issue that global automakers cannot bypass and must solve. Take power batteries: they are a shared bottleneck for global electrification. Whether in Europe, North America, or Southeast Asia, batteries face multiple constraints—cost, safety, energy density, fast charging, and supply chain stability—all at once.
Then there is the upgrade in intelligent driving experiences, a track where global automakers compete fiercely. While Chinese city NOA has already launched in dozens of cities, overseas luxury brands are still waiting for a mass-producible, deployable solution with equivalent experience. This is not merely a gap in a single technology, but a systemic disparity spanning algorithms to chips, and from data loops to engineering verification.
CATL is the quintessential example in the power battery sector.
According to corporate disclosures and SNE Research data, CATL's installations reached 464.7 GWh in 2025, capturing a 39.2% global market share. It has ranked first globally for nine consecutive years, with Chinese battery companies holding a combined share of over 70%.
The reason it is sourced by global automakers is not simply because "it sells well in China," but because it balanced the cost and energy density of LFP (lithium iron phosphate) systems to a level acceptable to global automakers.
The same logic applies to intelligent driving.
Momenta has entered the supply chains of Mercedes-Benz and BMW. The all-new electric Mercedes-Benz GLC SUV features Momenta's reinforcement learning model, while BMW's new-generation iX3, i3, and the all-new 7 Series all carry an L2 pilot assist system jointly developed by Momenta and BMW. Meanwhile, Huawei's Qiankun partnership with Audi has made the new Audi Q5L the first luxury fuel SUV to feature Huawei's intelligent driving technology.
Fundamentally, this is because overseas automakers cannot produce intelligent driving solutions with equivalent experiences on their own.
Recently, CATL signed a cooperation with Egypt's BME to license battery pack technology and supply production equipment, helping build a 1 GWh heavy commercial vehicle battery pack factory in Egypt, with plans to expand to 5 GWh. This move taps into the emerging global market for heavy commercial vehicle electrification in Africa and the Middle East.
Image Source: CATL
Conversely, solutions that only address local Chinese problems—such as features optimized specifically for China's unique road conditions, regulations, or consumer habits—will face "acclimatization issues" when going overseas, no matter how brilliant they are domestically.
When global automakers source a solution, their first question is:
Is this something all our markets need? If the answer is no, even the most ingenious technology will struggle to enter a global product platform.
Validated by Massive, Real, and Continuous Scenarios
Whether a solution can become a global standard cannot be judged by laboratory data or small-scale trial installations alone; it depends on whether it has undergone truly effective verification.
What is "truly effective verification"? Three standards: scale large enough, scenarios real enough, and iteration continuous enough.
Scale large enough means the solution has already been run on fleets numbering in the millions, not just dozens of test vehicles.
The Chinese market happens to provide such a testing ground. According to CPCA data, the penetration rate of new energy vehicles in China reached 65.2% in August 2026.
This magnitude of real-world installation means the solution has been repeatedly tested by extreme weather, complex road conditions, and the driving habits of a massive user base.
Scenarios real enough means verification was not completed in closed venues or simulation environments, but on real roads and in users' daily driving.
The complexity of urban roads, the mix of traffic, and the diversity of driving habits in China are among the highest globally. Intelligent driving solutions honed in this environment come with a fundamental guarantee of engineering maturity.
Iteration continuous enough means the solution is not a one-time mold, but continuously evolving within a real-world data loop.
Product iteration in the Chinese market is measured in months. The XPeng-Volkswagen joint model took just 24 months from launch to production. According to a Bosch executive during the 2026 Beijing Auto Show, Horizon Robotics' full-stack development cycle based on the Journey 6M took only 10 to 11 months.
A new revenue structure represented by technical services is reshaping the profit composition of Chinese automakers. It is reported that in the second quarter of 2026, XPeng's service and other business revenue was approximately 2.7 billion yuan, with a gross margin as high as 75.1%. Accounting for just 13.7% of revenue, it contributed 49.6% of gross profit.
However, a boundary must be drawn for "verification": Chinese verification answers the question of "can it work," while global adaptation answers "is it suitable."
China's complex road conditions have honed intelligent driving engineering capabilities, but Europe's regulatory environment tests data compliance, the Middle East's heat and Northern Europe's cold test reliability, and different markets' driving habits and traffic rules require adaptation of the solution.
Image Source: Avatr
A solution that works in the Chinese market only proves it is engineeringly viable; whether it is "easy to use" across different global markets requires another round of verification.
Conversely, some solutions, despite massive verification in China, fail the test of global adaptation.
For instance, certain perception algorithms optimized for China-specific conditions—such as dense mixed electric vehicle traffic and complex non-standard intersections—see a sharp decline in performance in European roundabouts, on narrow roads, or in high-speed limit scenarios.
Adequate verification is a necessary condition, not a sufficient one.
Possessing Portability, Adaptable to Different Global Systems
This is the crucial link distinguishing "success in the Chinese market" from a "global solution."
If a solution is deeply bound to the specific environment of the Chinese market and fails once it leaves home, it is merely a regional solution, not a global one.
A true global solution must possess modular and standardized capabilities, allowing it to embed into different countries, different automakers, and different regulatory systems.
Horizon Robotics is the most compelling example.
During this year's Beijing Auto Show, Horizon Robotics signed a strategic partnership with global top-tier supplier Astemo. This follows similar moves with Bosch and Denso, completing the full integration into the supply chain systems of two major global top-tier suppliers: German and Japanese.
As Horizon Robotics founder Yu Kai stated: "The globalization of intelligent driving chips is never just the export of a single technology, but the synchronous adaptation of the technological foundation and the industrial ecosystem."
The competition in global intelligent driving has escalated from a contest of individual technologies to a wrestling match over ecosystem standards.
For a long time, this market was dominated by Mobileye and Nvidia, with Chinese chip companies playing catch-up.
That Bosch, Denso, and Astemo are willing to incorporate Chinese chips into their core supply chains essentially means incorporating the standard certification of Chinese intelligent driving technology into the compliance framework of the global automotive industry—this is the true meaning of portability.
However, it must be noted that entering the supply chain does not equate to becoming an irreplaceable solution.
A "global solution" in the true sense is the choice when the global industrial system has "no alternative option" at a certain link. Portability is not just a technical issue, but an institutional one.
Image Source: Chery
For example, geographic and facial data collected by intelligent connected vehicles face stringent sovereign constraints overseas: data from overseas factories' infotainment systems must be stored locally, with transmission back to China prohibited. Chinese intelligent driving companies entering the EU generally need to establish local data centers and accept regulatory audits, with compliance construction cycles measured in years.
The EU's "New Battery Law" carbon footprint grade label became mandatory on August 18, 2026. The digital battery passport will be implemented in February 2027, and the Carbon Border Adjustment Mechanism (CBAM) is increasing pressure simultaneously.
These are raising entry barriers at the institutional level.
For a solution to become a global one, it must be adaptable not only technically but also across regulations, data, and standards to different global systems—this is precisely the weakest link for most Chinese enterprises.
Possessing Systematic Output Capability
Global automakers never purchase just a single part; they purchase a full set of capabilities encompassing "technology + engineering + manufacturing + service."
This is the most advanced of the four criteria:
It means Chinese enterprises are no longer just suppliers selling products, but partners capable of outputting complete engineering systems.
The fundamental difference between systematic output and single-product output lies in indivisibility; the buyer cannot obtain equivalent capability by purchasing only one link.
CATL's LRS (Licensing, Royalty, Service) model with Ford is the ultimate example: Ford builds and operates the factory wholly-owned. CATL provides no capital, holds no equity, and only outputs LFP cell patents, production processes, equipment solutions, and engineer training, charging patent licensing and service fees based on capacity.
It is not selling cells, but a complete engineering system—the buyer cannot buy the patent without the process, nor the equipment without the training.
The recent cooperation with Egypt's BME is essentially a replication of this same system output logic in the Middle East and African markets: technology licensing, equipment supply, and personnel training, allowing local partners to produce with a "turnkey" approach.
NIO's output of intelligent driving technology to McLaren and development of large cylindrical battery packs for its hybrid models is another representative case of systematic output.
According to merger details disclosed by CYVN Holding, NIO opened a full suite of technical solutions for intelligent electric vehicle platforms to McLaren's affiliate, Forseven, covering 236 patents across 15 major fields including the three-electric system, intelligent driving, and electronic architecture.
However, William Li noted that "this revenue stream is currently unstable." The NIO-McLaren case proves the feasibility of technical output, but its validity as a proof point for an independent market case requires verification through subsequent collaborations with non-affiliated parties.
Horizon Robotics' joint venture Karui with Volkswagen's CARIAD outputs the full chain from chips to algorithm toolchains, and from functional safety to mass production support. CARIAD also became a strategic shareholder in Horizon Robotics with a 9.9% stake through share transfer—this is no longer a simple buyer-seller relationship, but a deep binding of system co-construction.
The physical foundation of systematic output is localized manufacturing. Being close to customers, and dealing with tariffs and rules of origin, is driving the Chinese supply chain from "exporting" to "going local."
CATL has laid out three factories in Europe: the Thuringia, Germany plant is in production; the Debrecen, Hungary plant has a planned total capacity of 100 GWh, with 40 GWh in the first phase; and the Spain factory, a joint venture with Stellantis, has a planned annual capacity of 50 GWh.
Overseas capacity is not a simple transfer of production capacity, but the physical foundation for Chinese solutions to land abroad. Building a factory is not hard; what is hard is getting the local supply chain, local workers, and local logistics systems all operating according to the standards of the Chinese solution.
The competition for system capability has only just begun.
Europe is building exclusionary thresholds through regulatory frameworks. The EU's "New Battery Law" carbon footprint grade label became mandatory on August 18, 2026, with the simultaneous launch of a five-tier (A to E) grading system. Batteries with lower carbon footprints receive higher grades, and the grade labels are displayed directly to buyers and consumers.
LG Energy Solution, Samsung SDI, and SK On generally put their European factories into production earlier than CATL. Their first-mover accumulation of customer relationships and production ramp-up experience are competitive variables that Chinese battery companies cannot ignore in the European market.
Mobileye and Nvidia have deep-rooted existing customer relationships in the intelligent driving chip field. The ADAS systems of most global mainstream automakers are still based on Mobileye's EyeQ series or Nvidia's Orin series. For Chinese chip companies to replace these existing solutions, a verification cycle of several years is required.
The advantage of Chinese solutions lies in speed and cost, but gaps still exist in the three dimensions of global rule-making, depth of localization, and existing customer relationships.
The competition for system capability is a protracted war. Whether a technology can survive the product cycle overseas, endure regulatory updates, and withstand the test of second- and third-generation products is the watershed between a "global solution" and a "one-off export."
Conclusion: Being Needed is the Endgame
The four criteria can be condensed into a single formula: Common Need × Scale Verification × Portability × System Capability.
The battle for global solutions appears to be a war of technology, but in essence, it is a war of systemic capability.
Individual products can be replaced; systems are hard to bypass.
For a Chinese innovation to become a global solution, it cannot rely solely on leadership in a single technology, but must build competitiveness simultaneously across all four dimensions.
Returning to the initial question: On this brand-new track of electrification and intelligence, what kind of Chinese innovation can become a global solution?
The answer is those innovations that solve global common problems, withstand massive real-world verification, adapt to different global systems, and possess systematic output capabilities.
Being sourced is just the starting point; being needed is the endgame.
