Identifying　technology　trends　can　be　a　key　success　factor　for　companies　to　be　competitive　and　take　advantage　of　technological　trends　before　they　occur.　This　paper　uses　text　mining　techniques　along　with　expert　judgment　to　detect　and　analyze　the　near-term　technology　evolution　trends　in　a　Software　as　a　Service　case　study.　The　longer-term　technology　development　trend　in　this　case　is　forecasted　by　analyzing　the　gaps　between　science　and　technology.　This　paper　contributes　to　forecasting　technology　methodology　in　software　as　a　services　technology.　©　American　Society　for　Engineering　Management,　2019.