To provide a travel destination forecast device and a travel destination forecast method for accurately forecasting a travel destination with the action characteristics of each user sufficiently reflected therein.

This travel destination forecast device 100 includes a position information detection part 101 for detecting the position of a user, a day-of-the week detection part 102 for detecting a date and hour including a day of the week, a one's own house determination part 107 determining whether or not a destination in a move history is a one's own house, a frequency calculation part 110 for calculating a frequency (arrival frequency) with which destinations other than the own house have been arrived at among the respective destinations in the move history, a day-of-the week frequency calculation part 111 for calculating a frequency (appearance frequency) with which the respective destinations in the move history have been arrived at on the respective days of the week within a prescribed period, an action class calculation part 112 for calculating action classes based on the arrival frequency and the appearance frequency, and a travel destination forecast part 106 for forecasting a travel destination by using the move history included in an action class corresponding to present date/hour information.