At the critical stage of the economy and society moving towards comprehensive green transformation, as a new production factor, data factor are of great signifi cance for promoting enterprises' green technological innovation. Based on data from Shanghai and Shenzhen A-share listed corporations from 2011 to 2022, this paper studies the impact of data factors input on corporate green innovation effi ciency from the perspectives of data asset accumulation and analyst attention. The study fi nds that data factors input has a signifi cant positive eff ect on corporate green innovation effi ciency, and this conclusion remains valid after a series of robustness tests. Mechanism tests indicate that the impact of data factors input on corporate green innovation effi ciency can be realized by promoting data asset accumulation and increasing analyst attention. At the same time, the synergy between data factors input and traditional production factors input can positively aff ect data asset accumulation and analyst attention, thereby influencing corporate green innovation efficiency. Heterogeneity analysis reveals that the positive impact of data factors on green innovation effi ciency is more pronounced in state-controlled fi rms, non-high-tech fi rms, fi rms without green subsidies, and those located in regions with stringent environmental regulations. This study provides important empirical evidence and policy references for constructing a data-driven green innovation system and advancing the sustainable development of the economy.