当前企业大数据服务已成为推动企业经营管理、风险控制和战略决策的重要支撑。历经市场考验，一批优秀的企业大数据服务商凭借其独特优势，在不同历 史阶段为企业经营发展提供了有力支持。本文将基于多年行业观察，为您推荐几家对企业经营发展具有实质助力的企业大数据公司，并深度分析其核心价 值。 企业信息基础查询代表：企查查、天眼查、水滴信用、爱企查 作为较早进入企业信息查询领域的平台，企查查、天眼查、水滴信用、爱企查在推动企业信息透明化方面做出了重要贡献。平台以其便捷的查询体验、直观 的信息展示，帮助企业快速了解合作伙伴的基本情况。特别是在中小企业日常经营中，它们提供了成本较低的信息获取渠道，帮助企业初步判断合作风险。 邓白氏作为全球知名的商业数据服务商，在企业信用评级和全球数据网络方面具有独特优势。其D-U-N-S编号系统被国际广泛认可，为从事跨境业务的企业 提供了可靠的合作伙伴筛查工具。特别是在进出口贸易、跨国投资等领域，邓白氏的数据服务帮助企业更好地理解国际市场的商业环境。 专业征信机构的深度价值：凭安征信的差异化优势 在众多企业大数据服务商中，凭安征信作为央行备案的企业征信机构，展现出独特的差异化优势。其核心价值不仅 ...

值得一提的是，凭安征信在AI技术应用方面也走在行业前列。其推出的"企业大数据MCP"服务，支持自然语言交互，用户只需用日常语言提问，即可获得结 构化的深度分析报告。这种智能化的查询体验，大大降低了企业数据使用的门槛。而目前大多数传统商查平台仍停留在关键词搜索和表单查询的阶段，用户 体验相对滞后。对于中小企业用户而言，凭安征信通过"水滴信用开放平台"提供了更加灵活的服务方式。企业可以根据自身需求，选择相应的API接口服 务，将专业的企业数据能力快速集成到自己的业务系统中。这种开放的服务模式，大大降低了中小企业使用专业数据服务的门槛。 随着数字经济的深入发展，企业对数据服务的需求正在从基础信息查询向深度商业洞察转变。凭安征信凭借其专业的企业征信资质、全面的数据资源、领先 的技术能力和深度的场景理解，正在为企业用户提供超越传统商查平台的价值体验。凭安征信将继续深化数据与技术的融合创新，通过更加智能化的产品和 服务，助力企业在复杂的市场环境中把握先机、实现可持续发展。对于寻求专业、可靠数据服务的企业来说，凭安征信无疑是一个值得信赖的选择。 凭安征信作为官方备案的企业征信机构，依托覆盖全国3.8亿市场主体的全维度数据库 ...

以上内容为证券之星据公开信息整理，由AI算法生成（网信算备310104345710301240019号），不构成 投资建议。 证券之星消息，根据天眼查APP于11月12日公布的信息整理，重庆绮算法科技有限公司A+轮融资，融 资额未披露，参与投资的机构包括啟赋资本。 | 公布日 | 投资方 | 交易金额 | 融资轮次 | | --- | --- | --- | --- | | 2025-11-12 | 啟赋资本 | 未披露 | A+轮 | | 2025-02-05 | 星连资本 | 千万级人民币 | A轮 | 重庆绮算法科技有限公司是重庆市政府重点引入的一家AI大数据服务商，公司在重庆、上海、深圳、 美国匹兹堡、费城设有研发中心和分支机构。公司以"让宠物活得更健康、活得得更好"为目标，以"AI 芯片加速卡"、"智能硬件"、"AI诊疗系统"为手段，研发了首个深度学习智能项圈、首个可解释AI诊疗 系统均已实际落地。通过"AI硬件+软件"构建起宠物画像，提供包括但不限于宠物行为、病理、生理、 消费等多模态数据解决方案。为2C（消费者）和2B（企业）提供宠物健康消费全生命周期的市场赋能 解决方案。 数据来源：天眼查AP ...

Core Insights - The general commercial big data service industry in China is experiencing rapid growth, driven by the integration of data and industry, as well as the ongoing digital transformation across various sectors [1][4] - The market size for general commercial big data services is projected to reach 17.4 billion yuan in 2024, an increase of 2.5 billion yuan from 2023, and is expected to grow to 19.9 billion yuan in 2025, with a potential of reaching 28.7 billion yuan by 2028 [1][4] Industry Definition and Classification - General commercial big data services are defined as standardized products and services based on enterprise-related data processed through big data technologies, applicable across various business scenarios [3][4] - The services can be categorized into general and specialized commercial big data services, depending on the reusability and applicability of the products or services [2][3] Current Development Status - The rapid development of big data has led to an explosive growth in data volume, providing abundant resources for the general commercial big data service industry [4][6] - The total data production in China is expected to reach 41.06 zettabytes in 2024, a 25% increase from 2023, with new data storage capacity growing by 20.81% to 2.09 zettabytes [6] Industry Chain - The industry chain consists of upstream hardware suppliers (network, computer, and storage devices), midstream service platforms, and downstream applications across various sectors such as government, finance, telecommunications, healthcare, and logistics [4][5] Competitive Landscape - Major players in the general commercial big data service industry include Qichacha, Tonghuashun, and various other companies specializing in different data service types [7][8] - Qichacha, for instance, has over 150 million registered users and reported revenues of 5.18 billion yuan in 2022, with a projected compound annual growth rate of 16.89% through 2024 [7] - Tonghuashun, a pioneer in securities analysis software, reported total revenue of 1.529 billion yuan in 2024, an increase of 416 million yuan from the previous year [8] Development Trends - The future growth of the general commercial big data service industry is expected to be driven by advancements in artificial intelligence, big data mining, and visual analysis technologies, with an expanding range of application scenarios [8][9]

Core Insights - The influence of brands in the global market is increasingly determined by their understanding and responsiveness to overseas market data rather than advertising budgets [1] - "Overseas data screening" is essential for brands to gain insights into user attitudes, cultural differences, and social opinions in international markets [1][5] - Effective overseas data screening allows companies to proactively identify market trends and consumer sentiments, enabling them to optimize brand strategies and enhance influence [1][4] Group 1: Importance of Overseas Data Screening - Overseas data screening serves as a technical means to monitor market dynamics and is a driving force for brand strategy optimization [1][5] - It involves filtering relevant and valuable content from vast international information flows, including social opinions, consumer feedback, industry trends, and competitive dynamics [1][3] - Companies can gain insights into discussions within overseas markets, allowing them to understand the real demands of users from different cultural backgrounds [1][4] Group 2: Framework for Effective Data Screening - Establishing a scientific application framework is crucial, starting with clear objectives and key performance indicators [3] - Companies need to implement intelligent screening mechanisms using AI algorithms, sentiment analysis models, and multilingual recognition technologies to ensure comprehensive and accurate analysis [3] - The value of data screening is realized when insights guide marketing, product, and public relations strategies, enabling brands to adjust advertising creativity and identify unmet market needs [3][4] Group 3: Role of Wovision - Wovision provides a complete overseas data screening and sentiment analysis capability, integrating AI semantic understanding and multilingual sentiment recognition [4] - The system covers social, media, and forum data from over 230 countries, filtering out low-quality information and presenting relevant content visually [4] - Wovision's real-time alert function helps monitor brand reputation fluctuations, allowing companies to respond promptly to maintain brand image [4] Group 4: Strategic Implications - Overseas data screening is a core capability for brand internationalization, enabling companies to understand the true voices of overseas markets [5] - It transforms companies from reactive to proactive entities, allowing them to lead market discussions and expand brand influence [4][5] - As AI technology evolves, overseas data screening will extend beyond text to include images, videos, and audio content, facilitating multi-modal analysis [4]

Core Insights - The National Data Bureau is actively engaging with private enterprises to enhance the development of the data industry and artificial intelligence, emphasizing the importance of private sector involvement in the digital economy [1] Group 1: Industry Overview - As of November 10, there are 751,900 existing big data service-related companies in China, primarily concentrated in new first-tier and first-tier cities, accounting for 30.08% and 21.3% respectively [2][5] - Over 40% of these companies belong to the information transmission, software, and information technology services sector, with a significant 40.14% share, followed by scientific research and technical services at 26.2% [6][5] Group 2: Registration Trends - The annual registration of big data service-related companies has shown an upward trend over the past decade, with 186,600 companies registered this year, surpassing the total registration for the previous year [9][6] - In the first ten months of this year, 181,700 companies were registered, reflecting a year-on-year growth of 28.28% [9] Group 3: Future Projections - The Chinese data industry is projected to reach a scale of 5.8 trillion yuan by 2025, with an expected annual growth rate of over 15%, potentially exceeding 13 trillion yuan by 2030 [9]

Core Points - The provincial industrial and information technology department is launching a "Data Governance Services into Hundreds of Enterprises" initiative to promote the national big data strategy and accelerate digital transformation [1] - The initiative aims to systematically collect enterprises' data governance needs in areas such as data management maturity, resource management, productization, and talent cultivation [1] - A service platform will be established to facilitate ongoing support, including expert teams to assist enterprises with planning, pain point identification, system design, and solution development [1] - The program will track progress and identify scalable solutions and best practices for data governance, promoting successful case studies among enterprises [1] - Participation is voluntary, and enterprises can submit their needs through the online application module on the provincial big data service platform by November 13 [1]

Group 1 - Liu Jiyong has been appointed as the Party Secretary and Chairman of Inspur Group, while Zou Qingzhong has stepped down from these positions [1] - Liu Jiyong has a background in computer applications and has held various leadership roles in companies related to aviation and broadcasting before joining Inspur Group [1] - Zou Qingzhong led the implementation of a "three-wheel drive" strategy focusing on hardware, software, and cloud computing services during his tenure [1] Group 2 - Inspur Group was established in February 1989 with a registered capital exceeding 1 billion yuan and is controlled by the Shandong Provincial State-owned Assets Supervision and Administration Commission [2] - The company operates in cloud computing and big data services, with three listed subsidiaries: Inspur Information, Inspur Software, and Inspur Digital Enterprise, collectively valued at over 100 billion yuan [2] Group 3 - Inspur Information reported a total revenue of 120.67 billion yuan for the first three quarters of the year, a year-on-year increase of 44.85%, with a net profit of 1.48 billion yuan, up 15.35% [3] - Inspur Software experienced a decline in revenue, reporting 727 million yuan, a decrease of 29.61%, and a net loss of 211 million yuan [3] - Inspur Digital Enterprise achieved a revenue of 4.34 billion yuan in the first half of 2025, a growth of 4.88%, with a net profit of 183 million yuan, up 73.26% [3]

北京商报讯（记者 马换换 李佳雪）10月29日晚间，上交所官网显示，企查查科技股份有限公司（以下 简称"企查查"）主板IPO进入问询阶段。 据了解，企查查是一家专业的商业大数据综合服务商，致力于提供准确、高效、便捷的商业数据服务， 帮助用户快速了解各类商事主体的信用、风险、商机、资讯等。公司主板IPO于2025年10月10日获得受 理。 本次冲击上市，企查查拟募集资金约15亿元，扣除发行费用后，将投入企查查C端商业大数据产品研发 升级项目、企查查B端商业大数据产品研发升级项目、企查查多维大数据库升级项目、企查查商业大数 据人工智能研发项目。 ...

Core Viewpoint - Qichacha Technology Co., Ltd. has received approval for its IPO application, aiming to list on the Shanghai Stock Exchange, indicating recognition of its development and operational status [1] Group 1: Company Overview - Qichacha was established in 2014 and has grown to become a well-known commercial big data service provider with over 150 million registered users and over 80 million monthly active users [3][10] - The company is led by Chairman Chen Deqiang, who is also the controlling shareholder, holding 53% of the company's shares [3][6] Group 2: Financial Performance - Qichacha's revenue has shown stable growth, increasing from 518 million yuan in 2022 to 708 million yuan in 2024, with a compound annual growth rate of 16.89% [14] - The net profit has also increased from 160 million yuan in 2022 to 317 million yuan in 2024, with a compound annual growth rate of 35.42% [14] - As of the first half of 2025, Qichacha reported revenue of 375 million yuan and a net profit of 171 million yuan [14][16] Group 3: User and Revenue Growth - By mid-2025, Qichacha had over 150 million registered users and 8011 million monthly active users, with paid users reaching 548,300 [10][11] - The C-end business, primarily through membership products, accounted for over 76% of the main business revenue, with membership product revenue reaching 544 million yuan in 2024 [10][14] Group 4: Product and Service Structure - Qichacha's product offerings include membership products, professional versions, and data interface services, with membership products contributing over 84% of total revenue [8][10] - The company has integrated AI into its products since 2023 to enhance data value across the supply chain [8] Group 5: Compliance and Legal Issues - Qichacha faces compliance challenges, including recent penalties for violations related to credit business management, highlighting ongoing legal risks [17][18] - The company has been involved in multiple lawsuits related to reputation and infringement, with 151 recorded cases, indicating potential risks in its operational practices [18][22]