PSM 기법을 이용한 AI 스마트 하우징 서비스 및 플랫폼 시장 수용 가격 추정

An Estimation of Market Acceptable Price for AI Smart Housing Service and Platform using PSM

The market of AI smart housing services and platforms is expanding with the advancement of ICT technology. Therefore, competition is high for market expansion and preoccupation in the platform industry, furniture and interior industry, electronic device industry, construction industry, and communication industry. But we have already known users(residents) are the most important. And the value perceived by users is priced in the market. Therefore, it is necessary to confirm the price range of AI smart housing services and platforms that are acceptable in the market. Therefore, the purpose of this study is to confirm the distribution structure of AI smart housing service and platform acceptable in the market, and to estimate the price range suitable for the distribution structure. As a result of this study, the intelligent home network most similar to the AI smart housing residential service and platform is basically distributed in the form of a subscription economy. Among the three types of subscription economy, the service is provided by paying a fixed fixed fee. In other words, it is a form of paying a monthly subscription fee and using all services and platforms. Accordingly, we estimated the monthly subscription fee of AI smart housing service and platform using PSM with a sample of 300 apartment dwellers nationwide. As a result of PSM analysis, the market acceptable price range was found to be between 16,000 won and 26,000 won for monthly subscriptions. And the price that maximizes demand is 18,000 won.The SPR was about 2,000 won, indicating that price sensitivity was not great. These results suggest the minimum price range for the AI smart housing service and platform to be basically supplied in the future in the apartment where about 70% of the people live, without being alienated from the market. In addition, it can be used as a practical reference for entities planning to advance into AI smart housing services and platforms throughout the market.