8月21日，四维图新（002405）（002405.SZ）发布2025年半年度报告，报告期内，公司实现了营收 17.61亿元，同比增长5.62%。2025年上半年，凭借卓越的产品服务质量和技术能力，四维图新在多业务 领域成效显著。智云业务上，其凭借技术积累深度参与多地智能网联项目，与天安智联合作推进无锡试 点。智驾业务围绕三大核心方向进展颇丰，推出AI新基建服务架构，获订单并服务头部车厂。智舱业 务实现技术与市场双线双重突破，新增大量量产定点，发布全新解决方案。智芯业务稳健发展，形成双 轮驱动产品矩阵并推进战略升级。 持续聚焦技术深耕与场景拓展 智云收入同比增24.42% 2025年上半年，随着"车路云一体化"发展进程加速，在首批应用试点城市名单公布后，四维图新敏锐把 握市场机遇，持续加大在该领域的投入与布局，积极抢占新兴赛道先机。凭借二十余年的地图数据积累 及云端一体化服务能力，四维图新已深度参与多个"车路云一体化"试点城市及车联网先导区等智能网联 项目建设，为这些项目提供高精度地图、系统集成等核心服务。 报告期内，四维图新智芯业务也延续稳健发展态势，收入录得2.59亿元，同比增长2.48%。在行业竞争 越 ...

四维图新 20250822 摘要 四维图新 2025 年上半年营收 17.6 亿元，同比增长约 6%，智云板块营 收 12.65 亿元，同比增长近 25%，主要受益于高级别智驾规模化落地 带来的数据量增长，公司提供数据合规解决方案。 公司地图业务通过引入多元化高精数据源降低成本，搭建高精度地图基 础平台，服务车路云项目，并与自然资源部合作推进试点城市部署。 智舱业务技术路径明确，从基础行车解决方案升级到舱架一体，已量产 面向长城的 L2 基础行车解决方案，并获得基于高通 8,155 芯片的舱泊 一体解决方案订单。 公司通过技术创新满足用户需求，如停车场记忆功能、自然语音车控系 统等，并基于地平线 Gou6B 芯片推出新一代行泊方案，预计 2026 年 量产。 公司引入 PDT 架构，整合市场、研发等跨职能团队，加速 ADS 业务产 品发展，提高资源配置效率。 公司在 SoC 和 MCU 芯片领域取得进展，杰发科技 SoC 芯片累计出货量 达 9,000 万套，MCU 新品 7,870 实现突破并推进量产，累计出货量达 8,000 万颗。 公司与阿里云签署战略协议，共建辅助驾驶等领域数据闭环，并与火山 引擎、大 ...

Group 1 - The core driving force for high-quality development in national economic and technological development zones is the cultivation of new quality productive forces, with Anqing Economic and Technological Development Zone focusing on technological innovation and the integration of digital and real economies [1] - Anqing Economic and Technological Development Zone is accelerating the layout of future industries to seize new development opportunities, establishing a dual-wing structure to support the rise of new quality productive forces [1] Group 2 - Huanxin Group is a leader in the integration of digital economy and real economy, promoting the transformation of "Industrial Internet + Intelligent Manufacturing" to enhance its advanced productivity and empower the automotive industry chain [2] - Huanxin Group has developed a full-stack industrial internet system that enables millisecond-level response to production data and collaboration across the entire industry chain, providing solutions in five areas including supply chain collaboration and energy management [2][3] - The company has implemented energy management optimizations that have saved 6 million yuan annually in energy costs for one of its factories by optimizing air compressor operations [3] Group 3 - Anqing Economic and Technological Development Zone is actively cultivating future industry growth poles, with companies like Guoqi Dayou Time-Space Technology showcasing advanced products such as intelligent driving simulation systems that utilize high-precision satellite data [4] - The integration of high-precision satellite positioning and mapping is essential for low-altitude economy and urban governance, providing flexible solutions for issues like shared bicycle parking [5][4] - Guoqi Dayou has established strong partnerships with major universities and research institutions, leading to the formation of several innovation centers and a consistent annual business growth, with projected revenue of over 80 million yuan in 2024 [6]

Core Viewpoint - Japanese automakers are forming alliances to develop AI and autonomous driving technologies, supported by government subsidies and policies aimed at strengthening the domestic supply chain [2][3][4]. Group 1: Government Support and Policy Direction - The Japanese government has been promoting the development of "software-defined vehicles" (SDV) and emphasizes AI-driven automotive software [3]. - Recent revisions to the "Mobility DX Strategy" include support for AI autonomous driving, focusing on AI infrastructure, talent development, and safety standards [3][4]. Group 2: Industry Collaboration - Japanese automakers are collaborating to enhance the domestic supply chain and reduce reliance on foreign technologies, particularly in critical areas like autonomous driving chips and high-precision mapping [5][6]. - The collaboration aims to share R&D resources, reduce costs, and improve efficiency by leveraging each company's strengths in sensor technology, algorithm optimization, and other areas [6][7]. Group 3: Positive Impacts of Alliances - The formation of alliances is expected to lead to significant advancements in infrastructure, such as advanced computing platforms and data centers, to meet the growing computational demands of autonomous driving systems [7]. - The collaboration will also facilitate talent development by integrating training resources and partnering with educational institutions to create specialized programs in automotive engineering and AI [7]. Group 4: Competitive Landscape - The emergence of a Japanese automaker alliance in AI and autonomous driving is likely to intensify global competition, potentially prompting European and American companies to accelerate their own R&D efforts [8]. - This shift may influence the traditional model of independent R&D among automakers, leading to more cross-industry collaborations involving parts suppliers and technology firms [8].