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The China Center for Information Industry Development (CCID Research Institute) released the "Top Ten Trends in Innovative Development of New Domains and New Quality," and the report shows that China's AI inference data volume has surpassed training data volume for the first time, marking a shift from the model training and R&D stage to the stage of large-scale industrial application. The report states that as of June 2026, the average daily token call volume 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 been compressed from several months to a few weeks or even a few days. The report also mentions that China has cumulatively built more than 500 excellence-level smart factories, covering 31 provinces (autonomous regions and municipalities) and more than 80% of major manufacturing industry categories, and that domestic computing power and large models have been deployed in more than 1,000 application scenarios across 20 industries including steel and automobiles.
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Report by the China Center for Information Industry Development says China's AI inference data volume has exceeded training data volume for the first time
The China Center for Information Industry Development released the "Top Ten Trends in Innovative Development of New Domains and New Quality" on the 31st, showing that China's AI inference data volume has exceeded training data volume for the first time. The report says that as of June 2026, the average daily token call volume exceeded 175 trillion, an increase of more than 1,000 times compared with the beginning of 2024, and the iteration cycle of top large models has been compressed from several months to several weeks or even several days. The report also mentions that China has cumulatively built more than 500 excellence-level smart factories, and domestic computing power and large models have been deployed in more than 1,000 application scenarios across 20 industries including steel and automobiles.
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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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