Core Insights - Yuan Zheng Technology (02488), a leader in global automotive diagnostic equipment, won the "Hong Kong Stock Growth Demonstration Case" award for its outstanding performance in technological innovation and growth value [1][3]. Group 1: Award and Recognition - The "Yinghua Award" for outstanding listed companies was initiated by China Fund News, featuring 15 categories including Hong Kong Stock Growth Demonstration Case, aimed at objectively assessing companies' comprehensive strength and value from a long-term investment perspective [3]. - Yuan Zheng Technology's recognition as a "Hong Kong Stock Growth Demonstration Case" validates its transition from traditional manufacturing to intelligent software and data services [4]. Group 2: Business Performance - In the 2025 mid-term report, the company reported revenue of 981 million yuan, a year-on-year increase of 10%, and a net profit of 194 million yuan, with a growth rate of 28.47% [4]. - High-margin businesses such as software, remote diagnostic services, and automotive data showed significant growth, with software sales increasing by 28% to 104 million yuan, remote diagnostic services up 53% to 8.7 million yuan, and data revenue rising by 61% to 7.9 million yuan [4]. Group 3: Strategic Initiatives - In 2024, the company launched three strategic initiatives: AI Diagnostic Service (ADS), AI Auto Service (AAS), and Electric Vehicle Service (EVS), aimed at creating intelligent automotive fault analysis and prediction systems [3]. - The company is positioned to capitalize on the rapidly growing global automotive digital service market, projected to exceed 250 billion USD by 2025, aligning with industry trends [4].

Core Viewpoint - The rapid globalization of China's intelligent connected vehicle industry has led to a surge in automobile exports, raising concerns about the cross-border flow of automotive data, necessitating the establishment of a compliance system for automotive data export security [1] Group 1: Regulatory Framework - The Ministry of Industry and Information Technology and eight other departments have drafted the "Automotive Data Export Security Guidelines (2025 Edition) (Draft for Comments)," which is open for public feedback until July 13 [1] - The guidelines propose three main pathways for automotive data export, detailing nine categories of data exempt from declaration for security assessment, and establishing standards for personal information export contracts [2][3] Group 2: Data Export Scenarios - The guidelines identify three types of data export behaviors, including the transmission of automotive data collected within China to overseas entities and the storage of such data within China while allowing foreign entities to access it [3][4] - Specific thresholds for data export require reporting, such as providing personal information to over 1 million individuals or sensitive information to over 10,000 individuals [4] Group 3: Exemption Scenarios - Nine categories of exemption scenarios are proposed, with six aligning with previous regulations, including contract fulfillment and emergency management for human resources [4][5] - Three new exemption scenarios include reporting security vulnerabilities, handling security incidents, and addressing product defects [5] Group 4: Important Data Types - The guidelines specify six major business scenarios where important data types must be reported for security assessment, including research and design, production, automated driving, software upgrades, and connected operations [6][7] - Important data types include driving automation algorithms, real-time vehicle data, and location tracking data, with specific criteria for classification [7][8] Group 5: Security Protection Requirements - Automotive data processors are required to appoint a data export security officer and establish internal approval mechanisms for data export activities [9] - The guidelines mandate the use of security technologies to ensure data confidentiality and integrity during transmission, along with logging and monitoring requirements for data export activities [9]