Investment Rating - The report initiates coverage with a "Buy" rating for the company [3][5]. Core Insights - The company is building a foundational AI-native vehicle operating system, enhancing its competitive edge in the smart automotive industry through strategic partnerships with leading firms like Qualcomm and AMD [1][2]. - The integration of edge AI capabilities is transforming automotive computing architecture, with the AIBox serving as a critical bridge for local data processing and AI computation [1][2]. Financial Projections - Revenue is projected to reach 7.04 billion yuan in 2025, 8.54 billion yuan in 2026, and 11.28 billion yuan in 2027, reflecting growth rates of 30.79%, 21.22%, and 32.09% respectively [3][4]. - Net profit attributable to the parent company is expected to be 470 million yuan in 2025, 572 million yuan in 2026, and 761 million yuan in 2027, with corresponding growth rates of 15.26%, 21.90%, and 32.99% [3][4]. Financial Metrics - The projected P/E ratios are 61.72 for 2025, 50.64 for 2026, and 38.07 for 2027, indicating a decreasing trend as the company grows [3][4]. - The net asset return is expected to improve from 4.63% in 2025 to 6.80% in 2027, showcasing enhanced profitability [4][5].

Core Viewpoint - The company, Zhongke Chuangda, is positioned as a leading global provider of intelligent operating systems, benefiting significantly from AI-driven industrial transformation through its unique "operating system + edge intelligence" strategy [1] Group 1: Business Segments - Intelligent Software: The business revenue for the intelligent software segment reached 841 million yuan in H1 2025, reflecting a year-on-year growth of 10.52% [2] - Intelligent Automotive: The intelligent automotive segment achieved revenue of 1.189 billion yuan in H1 2025, with a year-on-year increase of 7.85% [3] - Intelligent IoT: The intelligent IoT segment experienced a remarkable revenue growth of 136% year-on-year in H1 2025, driven by the rapid expansion of edge AI applications [3] Group 2: Market Trends and Projections - The global smartphone market is expected to see a moderate recovery, with a projected year-on-year growth of 1% in shipments by 2025, driven by the increasing penetration of AI features [1] - The global automotive generative AI market is anticipated to grow at a CAGR of 23.8% from 2025 to 2034, indicating a strong growth trajectory for the intelligent automotive sector [2] - The global edge AI market is forecasted to grow from 321.9 billion yuan in 2025 to 1.2 trillion yuan by 2029, with a CAGR of 39.6% [3] Group 3: Globalization and Strategic Initiatives - The company reported overseas revenue of 1.558 billion yuan in H1 2025, marking an impressive year-on-year growth of 81.41%, showcasing the effectiveness of its "globalization + localization" strategy [3] - The company is set to launch its AI-native vehicle operating system, Drip OS, in 2025, which supports a full-chip platform and large model access, indicating a strategic move to capture the growing demand for integrated automotive solutions [2] Group 4: Financial Projections - The company is expected to achieve revenues of 7.314 billion yuan, 9.415 billion yuan, and 11.436 billion yuan for the years 2025, 2026, and 2027, respectively, with year-on-year growth rates of 35.8%, 28.7%, and 21.5% [4] - The projected net profit attributable to the parent company is forecasted to be 578 million yuan, 746 million yuan, and 964 million yuan for the years 2025, 2026, and 2027, reflecting growth rates of 41.9%, 29.0%, and 29.3% [4]

Group 1: Industry Overview - The computer industry has shown steady revenue growth and improved profit margins, with total revenue reaching 939.34 billion yuan in the first three quarters of 2025, a year-on-year increase of 9.4% [11] - The software development sub-industry has seen significant profit improvements, while the computer equipment sub-industry remains relatively high in terms of market sentiment [11] - The industry has experienced a volatile upward trend since the beginning of 2025, with the computer industry index rising by 18.54% as of November 28, 2025, outperforming the CSI 300 index by 3.5 percentage points [18] Group 2: Algorithm and Applications - The global landscape of large models is rapidly evolving, with significant competition among closed-source models from companies like Google, Anthropic, and OpenAI, while domestic open-source models like Kimi K2 and MiniMax-M2 maintain a leading position [27][30] - The focus of large model applications is shifting towards programming, enterprise services, and office productivity tools, indicating a convergence in the market [42] - The integration of multi-modal capabilities and AI agents is becoming a competitive focal point in the large model market, expanding the boundaries of model tasks [32][34] Group 3: Computing Power - The AI computing power market is experiencing high demand, with the global AI server market projected to grow at a CAGR of 15.5% from 2024 to 2028, while China's market is expected to grow at a CAGR of 30.6% during the same period [10] - The domestic AI computing power chip industry is poised for growth due to strong policy support and increasing downstream demand, with a clear trend towards self-sufficiency [10][22] Group 4: Intelligent Driving - The penetration rate of Navigate on Autopilot (NOA) features is increasing, indicating a rapid commercialization of the intelligent driving industry in China, with the market size expected to exceed 300 billion yuan by 2030 [4] - Major players like Tesla and Xpeng are advancing their intelligent driving technologies, with significant updates and new model releases enhancing their market positions [4][5] Group 5: Investment Recommendations - The report maintains a "stronger than market" rating for the computer industry, highlighting investment opportunities in AI computing power, algorithms, and intelligent driving sectors [5] - Specific stock recommendations include companies like Zhongke Chuangda, Haiguang Information, and Industrial Fulian in the AI computing power segment, and companies like Daotong Technology and Kingsoft Office in the AI algorithm and application space [5][6]

Core Insights - The article emphasizes that by 2025, smart cockpits will transition from "function stacking" to "experience reconstruction," as user demands evolve from basic interactions to emotional companionship and multi-modal integration [3][11] - Industry data indicates that 85% of global vehicles equipped with L2+ and above smart driving will feature multi-screen interactions and voice assistants, with Gen Z users making up 42% of the market, driving the shift towards personalized and immersive experiences [3][11] Current Challenges in Smart Cockpits - The smart cockpit industry faces multiple challenges, including ecosystem fragmentation, data security issues, and impractical user experiences [5][11] - Over 30% of vehicles excessively collect user data, with only a few companies meeting high security standards, while 60% of users find features like in-car karaoke useless [5][11] - The integration of smart cockpits and smart driving is costly, with high maintenance costs for flexible screens and inconsistent software updates posing significant challenges [5][11] Industry Insights from Experts - Experts at the WNAT-CES 2025 conference discussed the fragmentation of hardware and software in smart cockpits, leading to high adaptation costs for content providers and a lack of differentiation in user experience [7][8] - The need for a unified standard and ecosystem expansion was highlighted as a significant challenge, with traditional mobile internet paths not necessarily applicable to the automotive sector [7][8] - The automotive industry is undergoing significant changes due to the influx of innovators from the consumer electronics sector, necessitating multiple transformations [9][23] User Experience and Demand - Current smart cockpits have achieved basic functionalities like multi-screen interaction and voice control, but there are still gaps in user experience, particularly in adapting to different user needs [31][32] - The balance between universal and targeted user needs remains a challenge, with different age groups requiring different interaction designs [31][32] Future Directions and Innovations - The integration of AI and multi-modal perception in smart cockpits is expected to significantly enhance user interaction, but it will also require substantial data processing capabilities [38][39] - The future of smart cockpits will likely involve a shift towards a platform-based approach, allowing for more efficient cost management and user experience improvements [47][63] - The industry is encouraged to focus on safety and compliance while innovating, ensuring that user data privacy and security are prioritized [49][50] Competitive Advantages in the Chinese Market - China's largest market and user base provide a significant advantage for innovation and iteration in the smart cockpit sector [56][58] - The collaborative environment in China allows for rapid testing and growth of various applications, fostering a culture of innovation [56][58]

| 交易日期 | 证券代码 | 证券简称 | 成交价格 | 成交量 | 成交金额 (万元) | 买方营业部 | 卖方营业部 | | --- | --- | --- | --- | --- | --- | --- | --- | | | | | (元) | (万股/万份) | | | | | 2025-12-11 | 300496 | 中科创达 | 59.23 | 4.80 | | 284.30 中信证券股份有限 | 中银国际证券股份 | | | | | | | | 公司北京呼家楼证 | 有限公司丹东三经 | | | | | | | | 券营业部 | 街证券营业部 | 12月11日，中科创达大宗交易成交4.8万股，成交额284.3万元，占当日总成交额的0.5%，成交价59.23 元，较市场收盘价62.35元折价5%。 ...

Core Insights - The 2025 New Automotive Cooperation Ecosystem Exchange Conference will be held in Suzhou on December 5-6, focusing on the future of automotive development towards embodied intelligence [1] - The Executive President of Zhongke Chuangda, Chang Hengsheng, emphasized that the future of cars will evolve towards embodied intelligence, with significant advancements in AI integration [1] Group 1: AI Integration in Automotive - There are two major scenarios for AI in vehicles: autonomous driving, where cars will gradually become self-driving robots, and in-car assistance, where vehicles will transition from mere function providers to super assistants [1] - The concept of cars evolving into a combination of robots and super assistants highlights the transformative potential of AI in the automotive industry [1]

Core Viewpoint - The article discusses the performance of the ChiNext Artificial Intelligence ETF managed by Huaxia Fund Management, highlighting its recent market activity and returns since inception [1]. Group 1: ETF Performance - The ChiNext Artificial Intelligence ETF (159381) opened with a gain of 0.53%, priced at 1.695 yuan [1]. - Since its inception on March 14, 2025, the fund has achieved a return of 68.77%, with a monthly return of 3.20% [1]. Group 2: Top Holdings - Key stocks in the ETF include: - Zhongji Xuchuang, which opened up by 0.75% - Xinyi Sheng, which increased by 1.98% - Tianfu Communication, which rose by 3.14% - Xiechuang Data, which gained 0.55% - Ruantong Power, which went up by 0.87% - Allwinner Technology remained unchanged at 0.00% - Shenxinfu increased by 0.10% - Beijing Junzheng rose by 0.61% - Zhongke Chuangda increased by 0.31% - Jingjiawei decreased by 0.39% [1].

Group 1 - A total of 433 companies were investigated by institutions in the past 10 days, with 381 being securities firms and 302 being fund companies [1] - 88 listed companies were researched by overseas institutions, with 8 companies receiving attention from more than 20 overseas institutions, including Huichuan Technology, which was investigated by 68 overseas institutions [1] - Lixun Precision was the second most researched company, with 48 overseas institutions participating in the investigation, indicating significant growth potential in the non-overseas consumer electronics market over the next decade [1] Group 2 - Stocks that were investigated by overseas institutions saw an average increase of 0.36% in the past 10 days, with Shenghui Integration experiencing the highest increase of 32.47% [3] - 13 stocks received ratings from at least 15 institutions, with a consensus forecast of over 20% profit growth in 2025, including Kaiying Network, Lixun Precision, and Huichuan Technology [3] - Jinli Permanent Magnet is predicted to have the highest profit growth, with 18 institutions forecasting a net profit increase of 152.52% in 2025 [3][4]

Core Viewpoint - The article discusses the performance of the ChiNext Artificial Intelligence ETF managed by Huaxia Fund, highlighting its recent market movements and returns since inception [1]. Group 1: ETF Performance - The ChiNext Artificial Intelligence ETF (159381) opened at a price of 1.659 yuan, experiencing a decline of 0.66% [1]. - The ETF's performance benchmark is the ChiNext Artificial Intelligence Index return [1]. - Since its inception on March 14, 2025, the ETF has achieved a return of 67.07%, with a recent one-month return of 1.26% [1]. Group 2: Top Holdings Performance - Key holdings in the ETF include: - Zhongji Xuchuang, which fell by 1.21% - Xinyi Sheng, which decreased by 1.61% - Tianfu Communication, which dropped by 1.89% - Xiechuang Data, which declined by 0.69% - Softcom Power, which increased by 0.09% - Quanzhi Technology, which fell by 0.02% - Shenxinfu, which rose by 0.43% - Beijing Junzheng, which decreased by 2.66% - Zhongke Chuangda, which dropped by 0.24% - Jingjiawei, which increased by 0.45% [1].

Group 1 - The core focus of the company is integrating AI with its overall industry layout, which includes smartphones, smart cars, and smart hardware [1] - The company is continuously investing in AI-related research and development, aiming to transform its operating system from OS (Operating System) to AIOS [1] - The company seeks to maintain a leading advantage and core competitiveness in the AI field [1]