Provided is a technology for analyzing user electricity data based on noninvasive intelligent monitoring. The technology adopts a data collection module, a data preprocessing module, a data communication module, an event detecting module and a load mark identification module to achieve the monitoring and analysis of the user electricity data, the data collection module is used for collecting the user electricity data, and the data preprocessing module is used for preprocessing an input signal and transmitting the input signal to a cloud service platform by the data communication module througha 5G network; the cloud service platform analyzes and saves the received data through the event detecting module, the load mark identification module analyzes an electrical load mark of the power user saved in the event detecting module, a model is built, the source of each mark feature sample is identified through a method of machine learning, and the monitoring and analysis of the user electricity data are achieved ultimately. The technology for analyzing the user electricity data based on the noninvasive intelligent monitoring has the advantages that effective technical support for the control of mutual energy flow between power users and electrical network enterprises, and the technology has a good application prospect.