The industrialization of data assets is shifting from policy direction to large-scale implementation, igniting investment momentum across the big data sector. On August 28, the 2026 China International Big Data Industry Expo opened in Guiyang under the theme "Token - A New Path for Unlocking Data Value," hosted by the National Data Administration, with 87 key achievements slated for release. On the same day, Hu Jianbo, Director of the National Data Development Research Institute, revealed that China's data industry scale reached 6.78 trillion yuan in 2025, marking a 15.7% year-on-year increase and signaling a notable acceleration in the value realization of data assets.
Industry Scale Reaches 6.78 Trillion Yuan
According to estimates, China's data industry scaled 6.78 trillion yuan in 2025, up 15.7% year-on-year, sustaining double-digit rapid growth. Among this, data-related software products, including AI application software, and data resource products such as token services, together generated 4.99 trillion yuan in output value, accounting for as much as 73.6% of the total—indicating that data value realization is increasingly shifting toward application and service segments.
Tokens Emerge as a New Value Realization Vehicle
This year's expo features "token" as its core theme for the first time, focusing on its role in bridging high-quality datasets, industry-specific models, and business scenarios for value measurement. As of August 2026, the country has built over 126,000 high-quality datasets, with total data volume surpassing 1,815 PB, providing a solid foundation for token production and real-world deployment.
Computing Power and AI Applications Create Symbiotic Momentum
Kaiyuan Securities believes that computing power leasing, with its asset-light model of pay-per-use and elastic expansion, could become a core pathway to bridge supply gaps. A closed loop is forming across computing infrastructure, data supply, model-driven development, and application deployment. The big data industry chain, spanning computing power, IDC, servers, and AI applications, is now experiencing synchronized growth across all segments.
Data Security Paramount, Self-Reliance in Technology
The Big Data ETF HuaBao (516700) passively tracks the CSI Data Index, deeply aligned with domestic computing power (IDC, servers) and AI applications. It covers the full spectrum of data technology, including data storage, data production, data analysis, data operations platforms, and data applications, better reflecting the overall development of China's big data industry. The CSI Data Index encompasses popular themes, with cloud computing, IDC (computing power leasing), computing power, and AI application concepts accounting for 89.59%, 46.79%, 47.80%, and 23.71% of constituent weights respectively, as of the end of June. Note: Big Data ETF HuaBao (516700) previously operated on-exchange under the name Big Data Industry ETF.
Fee & Risk Disclosure
Regarding fees, Big Data ETF HuaBao does not charge sales service fees. Subscription and redemption agents may charge commissions up to 0.5% of the standard rate, which includes fees levied by securities exchanges and registration institutions. On-exchange transaction fees are subject to the actual charges determined by securities firms. Risk Warning: Big Data ETF HuaBao passively tracks the CSI Big Data Industry Index, with a base date of December 31, 2012, and was published on October 18, 2016. The index constituents are adjusted periodically according to its compilation rules, and historical backtested performance does not indicate future index performance. Any index constituents mentioned herein are for illustrative purposes only and do not constitute investment advice in any form, nor do they represent the holdings or trading activities of any fund managed by the fund manager. The fund manager assesses the risk level of this fund as R3-Medium Risk, suitable for investors with balanced (C3) risk tolerance or above. Please refer to the sales institution for suitability assessment. Any information appearing in this article (including but not limited to individual stocks, comments, forecasts, charts, indicators, theories, or any form of expression) is for reference only, and investors are solely responsible for their own investment decisions. Furthermore, any views, analyses, or forecasts herein do not constitute investment advice to readers, nor shall any liability be borne for direct or indirect losses arising from the use of this content. Fund investment carries risks. Past performance of a fund does not represent its future performance, and the performance of other funds managed by the fund manager does not constitute a guarantee of fund performance. Please invest cautiously.
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