艾媒咨询 | 2026年中国商业查询行业发展状况与用户行为调查数据

商业查询平台指通过整合和挖掘公开数据，以可视化形式为用户提供包括公司背景、司法风险、经营风险等在内的多维度商业信息查询服务，并在此基础上衍生出关系挖掘、信用报告、财务简析等系列进阶服务的平台。全球领先的新经济产业第三方数据挖掘和分析机构iiMedia Research（艾媒咨询）最新发布的《2026年中国商业查询行业发展状况与用户行为调查数据》显示，2022-2030年中国云计算市场规模将从4550亿元预计增长至31986亿元，虽增速逐步回落但保持高位运行，为商业查询行业提供稳定技术支撑，推动行业向智能决策服务转型。2026年中国商业查询用户对平台认知度全覆盖，网络资讯、短视频平台是用户了解平台的核心渠道；用户最关注平台的数据全面性、查询便捷性及售后服务保障。从使用行为来看，用户使用场景集中于投资参考、求职了解企业、风险监控；用户高频使用的功能聚焦司法风险预警、股权结构分析等功能；用户对商业查询平台整体满意度和信任度较高，超六成用户表示满意，但信息更新不及时、数据不准确、付费价格不合理仍是核心痛点。艾媒咨询分析师指出，商业查询行业发展受技术驱动与用户需求牵引，人工智能技术深度应用、跨领域数据整合、垂直行业解决方案细化是未来核心趋势。平台需优先提升数据准确性与更新速度，优化定价策略和功能易用性，结合不同职业、群体的需求差异提供定制化服务，推动行业从单一数据检索向全链路商业决策服务升级。
A business query platform refers to a platform that integrates and mines public data to provide users with multi-dimensional business information query services in a visual form, including company background, judicial risks, business risks, etc. Based on this, a series of advanced services such as relationship mining, credit reports, financial analysis, etc. are derived. According to the latest "Survey Data on the Development Status and User Behavior of China's Commercial Query Industry in 2026" released by iiMedia Research, a leading global third-party data mining and analysis institution for the new economy industry, the size of China's cloud computing market is expected to grow from 455 billion yuan to 3198.6 billion yuan from 2022 to 2030. Although the growth rate is gradually declining, it will maintain a high level of operation, providing stable technical support for the business query industry and promoting its transformation towards intelligent decision-making services. By 2026, Chinese business query users will have full coverage of platform awareness, and online information and short video platforms will be the core channels for users to understand the platform; Users are most concerned about the platform's data comprehensiveness, query convenience, and after-sales service guarantee. From the perspective of usage behavior, user scenarios are focused on investment reference, job seeking, understanding enterprises, and risk monitoring; The functions frequently used by users focus on judicial risk warning, equity structure analysis, and other functions; The overall satisfaction and trust of users towards the commercial query platform are relatively high, with over 60% of users expressing satisfaction. However, the core pain points still include untimely information updates, inaccurate data, and unreasonable payment prices. Analysts from iiMedia Research pointed out that the development of the commercial query industry is driven by technology and user demand. The deep application of artificial intelligence technology, cross domain data integration, and refinement of vertical industry solutions are the core trends of the future. The platform needs to prioritize improving data accuracy and update speed, optimizing pricing strategies and functional usability, providing customized services based on the differences in needs of different professions and groups, and promoting the industry to upgrade from single data retrieval to full chain business decision-making services.

艾媒咨询|2021年中国商业查询行业研究报告

本报告研究涉及企业/品牌/案例：天眼查，企查查，启信宝

政府对数据公开和社会诚信体系建设的深入，推动着中国商业查询市场扩大。且随着商业查询行业盈利模式逐渐明晰，其规模稳定增长。2020年中国商业查询用户规模达到4.79亿人，2022年有望增至5.89亿人。商业查询行业经过多年发展，竞争形势逐渐明朗，天眼查等老牌商业查询平台市场竞争优势明显。目前中国商业查询平台已走向差异化竞争阶段，头部平台对于行业的深耕经验以及技术的不断开发能更好地体现数据的深层价值，为他们构筑起平台护城河。
The government's deepening of data disclosure and the establishment of a social credit system has promoted the expansion of China's business inquiry market. And as the profit model of the business query industry gradually becomes clear, its scale has grown steadily. In 2020, the number of business query users in China will reach 479 million, and it is expected to increase to 589 million in 2022. After years of development in the business query industry, the competitive situation has gradually become clearer, and established commercial query platforms such as Tianyancha have obvious competitive advantages in the market. At present, China's commercial query platform has moved towards a stage of differentiated competition. The deep industry experience and continuous development of technology of the head platform can better reflect the deep value of data and build a platform moat for them.