作为全球汽车诊断领域的龙头企业，元征科技于2024年启动智能诊断服务(ADS，AI Diagnostic Service)、智能汽车服务(AAS，AI Auto Service)、新 能源汽车服务(EVS，Electric Vehicle Service)三大战略，旨在打造智能化汽车故障分析和预判系统，为车主、修理厂、整车厂和配件商提供汽车AI 服务，以及向客户提供新能源车维修工位改造、售后服务，已取得阶段性积极成果。 2025年中期报告显示，公司营业收入达9.81亿元，同比增长10%；净利润1.94亿元，同比增幅达28.47%，展现出强劲的发展势头。其中，软件、远 程诊断服务、汽车数据三项高毛利业务增长显著。2025年上半年客户购买软件金额1.04亿元，同比增长28%，客户购买远程诊断服务金额870万 元，同比增长53%，数据收入790万元人民币，同比增长61%。元征科技已逐步从制造企业向智能化软件和数据企业发展。 此次荣膺"英华奖——港股成长示范案例"，是对元征科技从传统制造向智能化软件与数据服务转型的官方肯定。在2025年全球汽车数字化服务市场 规模预计突破2500亿美元的背景下，公司切入诊断与数据分析 ...

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]