Digital　twin　is　increasingly　prominent　for　realizing　the　digital　and　intelligent　transformation　of　various　industries　as　an　emerging　technological　means　to　connect　the　physical　and　virtual　world.　While　there　has　been　a　recent　growth　of　interest　in　digital　twin　in　industry,　finance,　and　academia,　most　relevant　studies　lack　a　systematic　analysis　of　the　status　quo,　development　trends,　and　technological　competition　situations　for　digital　twin.　In　this　article,　we　used　bibliometrics　and　patent　analysis　to　conduct　comprehensive　and　in-depth　research　of　digital　twin　by　reviewing　the　current　status　of　academic　research　and　technological　development,　distribution　of　countries　and　institutions,　and　technological　competition　situations.　We　found　that　academic　research　and　technological　development　in　digital　twin　are　currently　in　the　early　stages　of　rapid　growth,　which　is　radiating　from　applications　in　smart　manufacturing　to　other　scenarios　such　as　medical　and　health,　smart　cities,　energy,　transportation,　public　emergency,　and　agricultural　food.　Artificial　intelligence　technology,　digital　twin　integrated　architecture　and　system,　intelligent　real-time　control　have　gradually　become　the　key　topics　of　academic　research　and　technology　research　and　development　in　the　field　of　digital　twin　in　recent　years.　The　digital　framework,　sustainable　digital　twin,　deep　learning　and　neural　network　algorithms,　and　full　lifecycle　management　have　the　potential　to　become　technology　development　trends.　USA　and　Germany　are　the　technology　leaders　and　occupy　first-mover　advantage　at　present,　while　China,　the　U.K.,　and　South　Korea　are　the　powerful　chasers　in　the　future.