CCID Research Institute: China's AI inference data volume exceeds training data volume for the first time, with average daily token calls exceeding 175 trillion in June
The "Top Ten Trends in Innovative Development of New Domains and New Quality" released by the CCID Research Institute shows that China's AI inference data volume has exceeded training data volume for the first time, marking a transition from the model training and R&D stage to the stage of large-scale industrial application. As of June 2026, average daily token calls exceeded 175 trillion, an increase of more than 1,000 times compared with the beginning of 2024. The report also mentions that more than 500 excellence-level smart factories have been built cumulatively, covering 31 provinces (autonomous regions and municipalities) and more than 80% of major manufacturing industry categories.
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The CCID Research Institute report presents the judgment that inference data volume has surpassed training data volume for the first time, along with figures such as average daily token calls, which can be used to observe the pace at which AI is shifting from training to application deployment.
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MIIT CCID Research Institute: China's AI inference data volume exceeds training data volume for the first time; as of June, average daily token calls exceeded 175 trillion
2026-11-01 18:46 IT Home - Guilong
Thanks to IT Home user "A Different Experience" for the tip submission!
IT Home, November 1 news: According to a report today by CCTV News, the China Center for Information Industry Development (referred to as "CCID Research Institute," English abbreviation CCID) yesterday released the "Top Ten Trends in Innovative Development of New Domains and New Quality," which shows that China's AI inference data volume has exceeded training data volume for the first time, marking that China's artificial intelligence has moved from the model training and R&D stage into the stage of large-scale industrial application.
Data shows that as of June 2026, average daily token calls exceeded 175 trillion, an increase of more than 1,000 times compared with the beginning of 2024. The iteration cycle of top large models has also been compressed from several months in the past to a few weeks or even a few days, and artificial intelligence is fully shifting from the laboratory stage of "feeding models" to the industrial implementation stage of "using models."
The report mentioned that with the in-depth implementation of the "AI + Manufacturing" initiative, China has cumulatively built more than 500 excellence-level smart factories, covering 31 provinces (autonomous regions and municipalities) and encompassing more than 80% of major manufacturing industry categories. Domestic computing power and large models have been implemented in more than 1,000 application scenarios across 20 industries such as steel and automobiles, driving the continuous expansion of new models such as personalized customization and full life-cycle services.
According to a previous IT Home report, at the 2026 (7th) China Internet Infrastructure Resources Conference in September this year, the Policy and International Cooperation Institute of the China Internet Network Information Center released the "Generative Artificial Intelligence Application Development Report (2026)." The report shows that as of the first half of 2026, China's generative artificial intelligence user base has exceeded 700 million, with a penetration rate surpassing 50%.