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National Data Administration Releases Fifth Batch of Public‑data Demonstration Scenarios to Unlock Market Value of Data Factors

2026-08-26

On August 26, China’s National Data Administration officially released the fifth batch of 50 public‑data “go‑live” demonstration scenarios. Together with earlier batches, a total of 150 demonstration scenarios have been rolled out nationwide, covering transportation, ocean industries, low‑altitude economy, modern logistics and urban governance. The move marks China’s data‑factor market‑oriented reform entering a large‑scale implementation phase

These demonstration scenarios focus on breaking down data barriers between government departments. They promote compliant opening‑up of public data to market enterprises and empower industrial digital‑transformation upgrading. Some scenarios open public resources including traffic‑flow, meteorological and geospatial data to small‑and‑medium‑sized tech firms, cutting R&D costs for digital‑innovation enterprises. Policies uphold the principle of “data usable but not visible”. Strict rules for data security and personal‑information protection are enforced, balancing value release with risk prevention.

Industry institutions note that activating public‑data resources will drive business expansion for data‑service providers, AI‑algorithm developers and industrial‑digital‑solution suppliers. Nevertheless, China’s data‑factor sector remains in its early‑development stage. Mechanisms for data right‑confirmation, transaction pricing and benefit distribution require continuous refinement. Many local governments will roll out supporting implementation rules to build region‑specific data‑application cases matching local industrial strengths.

In capital markets, sectors related to data‑factors and data‑security have drawn investor interest. Analysts remind market participants that a long time lag exists between policy roll‑out and real corporate‑revenue generation. Investors should avoid over‑speculating on related themes. The long‑term growth of the data‑factor industry relies on continuous institutional improvement and real‑world scenario‑driven iteration.

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