Species　distribution　models　(SDMs)　are　useful　tools　for　describing　and　predicting　the　distribution　of　marine　species　in　data-limited　environments.　Outputs　from　SDMs　have　been　used　to　identify　areas　for　spatial　management,　analyzing　trawl　closures,　quantitatively　measuring　the　risk　of　bottom　trawling,　and　evaluating　protected　areas　for　improving　conservation　and　management.　Cold-water　corals　are　globally　distributed　habitat-forming　organisms　that　are　vulnerable　to　anthropogenic　impacts　and　climate　change,　but　data　deficiency　remains　an　ongoing　issue　for　the　effective　spatial　management　of　these　important　ecosystem　engineers.　In　this　study,　we　constructed　11　environmental　seabed　variables　at　500　m　resolution　based　on　the　latest　multi-depth　global　datasets　and　high-resolution　bathymetry.　An　ensemble　species　distribution　modeling　method　was　used　to　predict　the　global　habitat　suitability　for　10　widespread　cold-water　coral　species,　namely,　6　Scleractinian　framework-forming　species　and　4　large　gorgonian　species.　Temperature,　depth,　salinity,　terrain　ruggedness　index,　carbonate　saturation　state,　and　chlorophyll　were　the　most　important　factors　in　determining　the　global　distributions　of　these　species.　The　Scleractinian　Madrepora　oculata　showed　the　widest　niche　breadth,　while　most　other　species　demonstrated　somewhat　limited　niche　breadth.　The　shallowest　study　species,　Oculina　varicosa,　had　the　most　distinctive　niche　of　the　group.　The　model　outputs　from　this　study　represent　the　highest-resolution　global　predictions　for　these　species　to　date　and　are　valuable　in　aiding　the　management,　conservation,　and　continued　research　into　cold-water　coral　species.