Using big data and artificial intelligence technology, Robo-advisor provides convenient access to online, low-cost small asset management. It attracts small asset holders who are alienated from large asset holder-oriented asset management markets and investors who are familiar with IT. However, Robo-advisor has some limitations, such as an inability to consider individual investors’ psychological or emotional issues, a failure to provide customized financial plans and advice, and an inability to respond to sudden market fluctuations. To complement these limitations, a Hybrid Robo-advisor, which involves human investment specialists, is introduced. In the US and abroad markets, this type of Hybrid Robo-advisor has been actively introduced and is offered in various forms, but the provision of domestic Hybrid Robo-advisor services is relatively limited. In this study, we investigate the current statuses and types of Hybrid Robo-advisors used in the US. Based on this investigation, we suggest that companies need to actively utilize Hybrid Robo-advisor in order to secure a customer group that is not satisfied with existing services in the domestic Robo-advisor market. In addition, we investigate the differentiated service types provided by the Hybrid Robo-advisor and the relationships of additional customer segments.