Emerging　technology　has　a　high　degree　of　uncertainty　and　complexity,　and　these　characteristics　render　the　technology　management　and　evaluation　more　difficult.　This　paper　utilizes　the　concept　of　technology　foresight　to　establish　the　index　system　of　evaluating　the　industrialization　potential　of　emerging　technology,　which　is　composed　of　5　first-grade　indexes　and　25　second-grade　indexes.　Then　with　the　help　of　SPSS　tools,　we　use　the　principal　component　and　cluster　analysis　model　(PCA-CA)　to　do　the　objective　and　subjective　evaluation　on　the　16　information　and　communication　technologies　(ICT)　of　the　Olympic　science　and　technology　(S&T)　projects.　First,　this　method　has　reflected　the　non-linear　relationship　between　the　evaluation　results　and　the　index　system,　and　reduced　the　participation　and　workload　of　the　experts,　so　it　reduces　the　subjectivity　of　the　evaluation　and　has　greatly　enhanced　the　efficiency　and　scientific　of　emerging　technology　evaluation.　Second,　the　evaluation　results　have　a　certain　referential　value,　which　can　help　business　and　management　departments　make　policy　decisions.