9th Intelligent Driving & Global Expansion Summit Held in Shanghai, Focusing on Tech Implementation and Global Challenges

The 9th Intelligent Driving and Global Expansion Summit was held in Shanghai on June 17–18, 2026. The conference focused on topics including the commercialization of intelligent driving technologies, global expansion strategies, regulatory compliance, and industry chain collaboration. Currently, China’s intelligent driving industry is accelerating its international expansion. Demand for connected and intelligent vehicles is rising in Europe, the Middle East, Southeast Asia, and other regions, with supportive policy environments gradually taking shape. Domestic companies are shifting from exporting products to exporting technology and actively building a global ecosystem. At the national level, pilot programs for market access of intelligent connected vehicles (ICVs) continue to advance, while local autonomous driving demonstration zones are expanding—providing robust support for technology validation. OEMs, Tier 1 suppliers, and tech firms are deepening cooperation in areas such as intelligent driving systems, smart cockpits, and vehicle-infrastructure coordination, reflecting a growing willingness to establish globalized supply chains. However, key challenges remain, including divergent overseas regulations, establishing localized operational frameworks, and developing sustainable business models. During the summit, industry representatives shared insights on market trends and technological advancements. Data showed that from January to May 2026, retail sales of passenger vehicles in China declined by 15%–20% year-over-year, and wholesale volumes dropped by 6.2%. Nevertheless, strong export growth has effectively alleviated domestic sales pressure, with the full-year wholesale decline expected to narrow to 1%–2%. Europe has become China’s largest automotive export market, accounting for approximately 25% of total exports; markets like Brazil and the Commonwealth of Independent States (CIS) have also shown notable performance. By 2030, global light-duty electric vehicle (EV) penetration is projected to reach 45%, compared to 80% in China; L2+ ADAS adoption is expected to hit 59%. Jaguar Land Rover introduced its “Premium ADAS” positioning, emphasizing user experience over raw computing power and pursuing an “Effortless, Trustworthy, Unique” intelligent driving feel, while balancing brand identity with technological integration. Omovision showcased its camera and radar solutions enhanced by AI-powered night vision, defogging/de-icing capabilities, and high-bandwidth point cloud perception to improve all-weather reliability. Huawei leveraged its Ascend AI platform to build an end-to-end computing infrastructure covering data processing, model training, simulation, and edge deployment. JetBrains highlighted CLion’s role in automotive software development, offering C/C++ support, AI integration, MISRA compliance checks, and static analysis to boost SDV (Software-Defined Vehicle) development efficiency. Sunlord Electronics unveiled AEC-Q200-compliant automotive-grade components serving smart cockpits, ADAS, and powertrain/chassis systems. QNX emphasized the critical role of its ISO 26262 ASIL D-certified operating system in domain-fusion architectures, helping local supply chains shorten development cycles and reduce compliance risks for global expansion. TrustMotion proposed replacing traditional testing paradigms with formal specification, automated deployment, and full-dimensional verification. Its MotionWise platform enables deterministic cross-system scheduling. Great Wall Motor presented its VLA (Vision-Language-Action) architecture, integrating language understanding with world-model knowledge to enhance complex-scenario handling and user trust. Kautex displayed sensor cleaning systems offering three configurations—liquid-only, gas-only, and hybrid gas-liquid—already deployed in mass-produced robotaxis and buses. Cadence introduced a chip-package-system co-verification solution, leveraging tools like Allegro X APD to improve design efficiency; its JedAI platform already supports AI-assisted design in over 50% of advanced-node projects. XinXinTeng focused on domain controller assembly and testing, building high-precision, traceable production lines and expanding into embodied robotics. Foretellix established a closed-loop ADS validation framework based on Physical AI Datasets, shifting from “condition coverage” to “behavior coverage” to enable high-value scenario mining and regulatory compliance evidence. dSPACE promoted virtual certification, moving testing leftward to hardware-in-the-loop platforms, establishing a simulation credibility assessment framework, and providing global regulatory process support. Avnet noted that the cockpit is evolving into a multimodal perception hub, relying on ecosystem collaboration to identify blind-spot risks and deliver proactive services. In a panel discussion, participants explored topics including the evolution of driving agents, computing bottlenecks, business model sustainability, in-house vs. supplier strategies, and global compliance. BAIC Group’s Research Institute outlined its L3 redundant safety architecture, “One Core, Three Rings” certification system, and multimodal simulation platform. It has accumulated over 2,000 L2 NOA test cases and launched highway and urban pilots in Beijing. iDriverPlus shared its EU mass-production experience, highlighting localization challenges such as lane marking differences, parking habits, and multilingual interfaces, addressed through large-model-generated samples and AI-assisted adaptation. Bosch proposed a triple solution encompassing functional regulations, data closed loops, and data security, using federated learning for cross-border model parameter transfer to ensure GDPR compliance. BYNAV stressed that a trustworthy spatiotemporal foundation must adapt to overseas environments, optimizing its solution across signal chains, deep-coupled positioning, and functional safety to support L2–L4 scenarios. TomTom identified compliance, scalability, and trust as the three pillars of globalization, establishing local data closed loops in Europe to enable lane-level map coverage and consistent multi-country experiences. HERE Technologies emphasized that maps remain irreplaceable as beyond-line-of-sight sensors; its tiered supply model facilitates smooth regulatory upgrades, while crowdsourced data ensures global map freshness. In conclusion, the summit underscored that China’s intelligent driving industry is transitioning from assisted driving toward intelligent driving agents. Technological strengths combined with a global outlook are enhancing international competitiveness. Moving forward, innovation must serve as the engine, compliance and safety as the foundation, and deeper global market penetration as the strategic priority.