The present invention discloses a service pattern quantitative evaluation method for crossover services: defining top elements of the service pattern, including defining participants, workflow, data flow, resource flow and cash flow; describing participants in the service pattern; describing the workflow among the participants based on existing participants; on the basis of the workflow among the participants, describing the data flow among the participants; on the basis of the workflow among the participants, describing the resource flow among the participants; on the basis of the workflow among the participants, describing the cash flow among the participants; based on the described workflow, data flow, resource flow and cash flow, calculating the evaluation indicators of the service pattern, including running time, consumption cost, transfer efficiency, value, and reliability; and calculating pattern entropy based on the evaluation indicators to conduct overall evaluation of the service pattern. This method can help product managers, entrepreneurs, business consultants and business designers conduct quantitative evaluation of existing service patterns.