Due　to　the　complex　coupling　between　drought　and　climatic　factors,　the　future　drought　conditions　that　might　occur　under　climate　change　is　still　unclear.　In　this　research,　we　used　the　daily　SPEI　algorithm　to　project　global　drought　conditions　during　2016-2100　based　on　the　data　from　phase　6　of　the　Coupled　Model　Intercomparison　Project　(CMIP6).　We　also　employed　partial　correlation　analysis　to　explore　the　influence　of　climate　factors　on　drought.　Our　analyses　show　the　following:　(1)　Drought　conditions　projected　by　CMIP6　under　different　models　are　similar;　however,　they　can　vary　widely　across　regions.　(2)　According　to　the　MK　trend　test,　drought　conditions　in　most　regions　around　the　world　are　expected　to　become　increasingly　severe　in　the　future,　and　this　trend　is　significant.　(3)　Based　on　the　results　of　the　partial　correlation　analysis　results,　it　is　understood　that　drought　events　in　most　regions　worldwide　are　primarily　driven　by　precipitation.　This　study　contributes　to　the　discussion　of　projecting　future　drought　conditions　and　expands　the　application　by　utilizing　the　state-of-the-art　CMIP6　climate　models　and　scenarios.Highlight