The social credit system is the basic system of the market economy. In recent years, my country has actively promoted the construction of a social credit system, providing strong guarantees for optimizing the business environment and promoting high-quality economic and social development, and also promoted the corporate credit reporting industry to usher in new market opportunities. Against the backdrop of constant favorability, domestic leading credit reporting agencies have begun to explore the deep integration of artificial intelligence models and quantitative algorithms, and promote the enterprise credit reporting industry to accelerate its transformation from "experience-driven" to "data + AI-driven".

  Credit construction accelerates the promotion of new opportunities for corporate credit reporting industry

  Recently, the General Office of the CPC Central Committee and the General Office of the State Council issued the "Opinions on Improving the Social Credit System", which clearly proposed to establish a comprehensive evaluation system for corporate credit status. A relevant person in charge of the National Development and Reform Commission said in response to questions from media reporters that establishing a comprehensive evaluation system for corporate credit status is an important means to better play the basic role of the credit system and build a high-level socialist market economic system. In the construction of the evaluation system, it is necessary to improve the level of market-oriented credit evaluation, including strengthening the supervision of credit rating institutions and credit reporting institutions, and focusing on cultivating a group of local authoritative institutions with outstanding business capabilities.

  In recent years, the corporate credit reporting market has shown a rapid development trend driven by multiple policies, technology upgrades and financial demand. Data shows that in 2024, 154 corporate credit reporting agencies provided 36.5 billion various credit reporting services; as of the end of 2024, the credit reporting platform has served nearly 7 million business entities in total, contributing to a financing scale of more than 24 trillion yuan.

  Zhou Yue, vice president and chief strategy officer of Zhongcheng Credit Information Co., Ltd., said that the demand for corporate credit reporting market is not a simple integration of corporate information, but converting data into pragmatic information to make judgments on the company's operating status, credit status and ability to fulfill debt repayment. Since the development of the domestic enterprise credit management market is still in its early stages, there is huge room for growth, and the concentration of the enterprise credit reporting industry is low, it faces opportunities for great development and integration in the future.

  Independent innovation solves problems and new technologies drive industry development

  Unlike the field of personal credit reporting, corporate credit reporting involves complex transaction decisions, while traditional risk control models rely on manual collection and sorting of data, which is difficult to meet the real-time needs of the market. In addition, they also face challenges such as single analysis dimensions, lagging risk warnings, and data security. In the field of global corporate risk management, foreign institutions have dominated the market with their powerful quantitative products. In recent years, the rapid breakthroughs in artificial intelligence big model technology and the deep integration with quantitative tools have provided new paths for the automation and precision of risk management. Domestic leading institutions such as China Chengxin Credit Credit have accelerated the layout of intelligent risk control, and the market structure is also quietly changing.

  In February this year, the big model "Domestic Light" DeepSeek quickly "becomes the circle" with its powerful multi-scene understanding and generation capabilities. China Chengxin Credit Credit and other leading domestic institutions announced their access to the DeepSeek big model capabilities.

  According to Zhou Yue, since 2024, China Chengxin Credit Credit has begun to explore the ability to apply big model in the corporate credit reporting industry, and has achieved significant results in scenarios such as translation and report review. Its independently developed intelligent production line system, as an auxiliary platform for corporate credit reporting decision-making, has also been connected to the DeepSeek big model capability.

  By introducing AI capabilities to reshape the workflow and deeply integrating it with quantitative algorithms, Zhongcheng Credit Credit has established a "professional analyst + AI assistant" collaborative model to achieve the upgrade of the core scenario capabilities of credit report production: through the knowledge reasoning ability of big model, the correlation analysis of industrial and commercial, judicial, public opinion and other data is realized, and information integration capabilities are improved; based on deep learning document understanding ability, the basic report framework is automatically generated to improve work efficiency; natural language processing (NLP) technology is used to establish a quality inspection rule database to improve reporting quality.

  In addition, China Chengxin Credit has independently developed a number of credit evaluation models, combining big data and artificial intelligence technology to ensure the accuracy and interpretability of the model. As the first credit reporting agency to register enterprise credit in the People's Bank of China, China Chengxin Credit Credit has provided a comprehensive safety and compliance application solution to the various industry data and modeling needs of more than 3,000 large institutions.

  "The model of Zhongchengxin Credit Reference is based on more than 50 million initial samples. It is optimized by AI algorithms and can accurately identify corporate risks." Zhou Yue introduced that Zhongchengxin Credit Reference built a big data processing platform, covering more than 92 million industrial and commercial samples, ensuring the comprehensiveness and accuracy of the data, and ensuring the authenticity and reliability of the data through automated data collection, cleaning and manual quality inspection. He said that the credit reporting service model and application fields have gradually evolved from relying on traditional research to assist in subjective decision-making in the early stage to support decision-making in multi-industry business scenarios with data-driven as the core. As Chinese and overseas companies have continuously increased their demand for refined management for healthy business growth and building a world-class credit risk management service system, data-driven decision-making has become an indispensable and critical path.

  Industry insiders believe that the deep integration of artificial intelligence big models and quantitative algorithms is promoting the efficiency revolution of the corporate credit reporting industry. On the one hand, AI technology replaces inefficient manual operations, shorten the production cycle of traditional credit report, and significantly reduces the cost of corporate credit reporting services; on the other hand, it provides analysts with multi-dimensional data correlation analysis and automation tools, which can release human resources to focus on high-value decisions. Not only that, combining artificial intelligence big models with industry scenarios can also overcome the problem of standardized analysis of unstructured data (such as judicial documents and public opinion texts) in corporate credit reporting, and promote the upgrading of data application capabilities in the entire industry.

  "The enterprise credit reporting industry is accelerating the transformation from 'experience-driven' to 'data + AI-driven'." Zhou Yue said that this will improve the accuracy of risk prevention and control and help financial institutions and regulatory departments identify and intervene in systemic risks early.

  Face global market competition and reshape the corporate credit reporting industry structure

  Experts said that the growth potential of domestic enterprise credit reporting market mainly comes from three driving forces: First, the accelerated credit infrastructure under policy guidance, and credit reporting services have been included in encouraged industries. For example, Hainan Free Trade Port and Hengqin Guangdong-Macao Deep Cooperation Zone and other pilot areas have clearly included credit reporting services in encouraged industries, enjoying tax incentives and industry support policies; Second, the integration of technology empowerment and data, relying on artificial intelligence and big data analysis, credit reporting institutions are shifting from traditional financial assessment to multi-dimensional credit portraits, and non-financial data such as judicial and utility payments have been included in the model to promote the improvement of risk assessment accuracy; Third, the financing demand of small and medium-sized enterprises has surged, and financial institutions have deepened their dependence on credit assessment in scenarios such as movable property financing and supply chain finance. In the first quarter of this year, inclusive small and micro loans increased by 2.38 trillion yuan, with a year-on-year increase of 20.3%, significantly higher than the overall loan level.

  It is worth noting that as Chinese companies' demand for credit overseas grows, the industry expects that the corporate credit reporting market will enter a new round of expansion in 2025. "Currently, manufacturing enterprises have a wide demand for credit overseas. Financial institutions need to quickly evaluate and screen overseas enterprises. The rapid credit risk model with large models can help enterprises and financial institutions complete the rapid screening target and accelerate the approval of corporate credit and financial loans." Zhou Yue pointed out.

  With Chinese companies going overseas on a large scale, domestic leading credit reporting agencies are also actively seeking to "go global" and face global market competition. Industry insiders said that domestic leading institutions have accumulated profound industry insights and professional knowledge over the years, and have localized the quantitative tools based on the characteristics of Chinese enterprises. At the same time, they have accumulated rich cross-border credit management experience in actively participating in international credit ratings and credit reporting business. In the future, with the support of new technologies such as big models, domestic leading institutions will show stronger independent innovation capabilities on a larger international stage and reshape the corporate credit reporting industry structure. (Reporter Wu Wei)

[Editor in charge: Wang Mengmeng]