It’s of great significance to build scientific and rational electricity analysis and forecasting management method and model under big data platform mode. Based on which, a schematic design of application system is developed for market analysis and forecasting of distribution network users’ power consumption features. Scheme design of overall system is given, including system overall framework, technical platform and big data analysis methods. Next, an emphasis is made on schematic design of the system functional architecture, source data platform level, big data computing platform, system interface and security management; and the principles followed by the design and corresponding technical implementation approaches are given. Finally, the power similar month model in designed system scheme is used as an example for case study, based on historical electricity consumption data of certain city in Guangdong Province from year of 2000 to 2008. The designed application system scheme has abilities of deep analysis and data mining and scientific prediction on electricity consumption market data, as well as management ability of improving system-wide and global electricity consumption market analysis, thus provides supports and guarantees for marketing service strategies making of power consumption markets. This work is supported by Science and Technology Projects of China Southern Power Grid (No. GDKJ00000052).