Core Viewpoint - The automotive ETF (516110) has dropped over 3%, but the long-term trends of intelligent driving commercialization and electrification are progressing in parallel [1] Industry Summary - According to the latest data from the Passenger Car Association, from May 1 to May 18, the national retail sales of passenger cars reached 932,000 units, a year-on-year increase of 12%. Among these, retail sales of new energy vehicles (NEVs) were 484,000 units, achieving a penetration rate of 52% [1] - The China Association of Automobile Manufacturers reported that from January to April, the market share of domestic brand passenger cars reached 68.7%, marking a historical high. In April alone, sales increased by 23.5% year-on-year to 1.571 million units [1] - According to Kaiyuan Securities, intelligent driving is gradually moving towards commercialization, with limited operational design domains (ODD) and specific speed autonomous driving expected to achieve commercial closure first, particularly in logistics and sanitation scenarios where advantages are already evident [1] - The passenger car industry is seeing a surge in new product releases, indicating that intelligent driving features are becoming a key differentiator in competition. Retail sales of narrow passenger cars in May are expected to reach 1.85 million units, with NEV penetration exceeding half, continuing the trend of electrification in the industry [1] - The global commercialization of autonomous driving is steadily advancing, and the components sector is benefiting from domestic substitution and overseas expansion. Some companies are actively transitioning into the robotics field, which may lead to valuation premiums [1] ETF Summary - The automotive ETF (516110) tracks the 800 Automotive Index (H30015), which is compiled by China Securities Index Co., Ltd. This index focuses on the automotive industry chain and comprehensively reflects the overall performance of listed companies related to the automotive sector, showcasing distinct industry characteristics and representativeness [1]