Purpose:　This　study　identifies　a　methodology　to　explore　the　issues　of　enterprise　innovation　ecosystem　health　(EIEH).　Design/methodology/approach:　First,　this　study　constructs　the　indicator　system　of　EIEH　based　on　the　research　objective;　second,　the　dynamic　vertical　projection　method　(DVPM)　and　entropy　weight　method　are　proposed　to　analyze　the　status　and　influencing　factors　of　EIEH;　finally,　the　future　development　of　EIEH　is　analyzed　using　GM　(1,1).　Findings:　In　terms　of　methodology,　the　DVPM　can　effectively　analyze　EIEH,　which　can　not　only　analyze　the　development　status　and　potential　of　EIEH　every　year　but　also　analyze　the　comprehensive　state　of　EIEH　for　many　years.　In　terms　of　practice,　the　value　and　grade　of　EIEH　in　China　have　been　gradually　increasing　from　2016　to　2020,　but　the　overall　development　is　unbalanced,　and　five　key　factors　affecting　EIEH　have　been　identified.　The　EIEH　in　China　is　predicted　to　steadily　grow　from　2021　to　2025.　Originality/value:　The　analytical　method　employed　in　this　study　can　effectively　analyze　EIEH,　which　provides　a　new　analytical　perspective　for　the　evaluation　of　EIEH　and　enriches　the　research　content　of　the　enterprise　innovation　ecosystem　(EIE).　By　analyzing　the　results,　we　can　gain　a　comprehensive　understanding　of　the　state　of　different　EIEs,　enabling　each　EIE　to　design　tailored　remedial　measures　to　enhance　EIEH　and　achieve　sustainable　development.　©　2024,　Emerald　Publishing　Limited.