Identifying　technology　trends　can　be　a　key　success　factor　for　companies　to　be　competitive　and　take　advantage　of　technological　trends　before　they　occur.　The　companies　always　work　to　plan　for　future　products　and　services.　For　that,　it　is　important　to　turn　to　methods　that　are　used　for　technology　forecasting.　These　tools　help　the　companies　to　define　potential　markets　for　innovative　new　products　and　services.　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　(SaaS)　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　the　technology　forecasting　methodology　and　will　be　of　interest　to　those　working　with　SaaS　technology.　Our　findings　reveal　five　trends　in　the　technology:　1)　virtual　networking,　2)　the　hybrid　cloud,　3)　modeling　methodologies,　4)　mobile　applications,　and　5)　web　applications.　Among　the　results　achieved,　we　can　summarize　the　interesting　ones　as　follows:　it　is　possible　to　say　that　traditional　information　systems　are　now　evolving　into　online　information　systems.　On　the　other　hand,　the　use　of　a　licensing　model　based　on　subscriptions　triggers　the　change　in　perpetual　licensing　models.　The　product　range　that　has　evolved　toward　mobile　technologies　has　put　pressure　on　information　storage　technologies　and　has　led　to　the　search　for　new　methods　especially　in　the　development　of　database　systems.　©　2021　by　the　authors.