Introduction-Candida albicans is most common fungal infection in gestational diabetic women. Their rapid identification and proper treatment is necessary. In this study, we evaluated the performance of VITEK 2 for rapid identification of Candida albicans and non albicans Candida and antifungal sensitivity pattern. This cross sectional analytical study was performed on 75 diagnosed diabetic pregnant women who were admitted to Umaid hospital, Jodhpur city, Rajasthan from November 2012 to July 2013. Method-All samples were identified to species level by VITEK 2(Automated Method). A total of 225 samples were taken from diabetic pregnant women from three different sites (urine, vaginal swab & throat swab). Result- In 125 (55.55%) samples growth of Candida species were observed. C. famata (29.2%) was the most common species identified by VITEK followed by Stephanoascus ciferrii (27.2%) and Candida albicans (12.8%). C. albicans, C. tropicalis and c. parapsilosis showed susceptibility to all antifungal drugs whereas C. glabrata showed decrease sensitivity to VR, FU, CSP and AP but sensitive to flucytosine. C. famata did not response to any antifungal drug. Stephanoascus ciferrii showed decreased sensitivity to VR and FU. Conclusion-Thus, non albicans candida infection is increasing in gestational diabetic pregnant women. Therefore, accurate and rapid identification and susceptibility pattern is necessary for management of infection. VITEK system is certainly the more efficient method over the conventional method as the results are available in a shorter period of time as compare to conventional methods and provide susceptibility profile & MIC at the same time.