AI 스마트 하우징 서비스 및 플랫폼 표적시장 선정을 통한 사업화 전략 수립

Abstract

AI smart housing requires market activation and market leadership through national research and development. In order to revitalize and lead the market, a commercialization strategy is required from the development stage. A method for selecting target demand is the STP process. To this end, based on general market segmentation factors, AI smart consumer market segmentation factors were derived such as gender, age, household size, residential area, income, and IT familiarity. As a result of segmenting the market by market segmentation factor, as a result of segmentation of the market by market segment, more women than men, and smaller households, geographically more Jeju, Jeolla-do, Gangwon-do, Chungbuk, Gwangju, and Gyeonggi-do than Seoul and Sejong-si, and Gwangju, Gyeonggi-do were more popular among those with high IT familiarity. appeared to be necessary. As for the dual subdivision factors, it was found that people with low or high income had a higher awareness of need, and those in their 20s and 30s with low age and those in their 50s or older had higher needs. Combining these results, it was deduced that the target market should be divided into those in their 20s and 30s and the elderly, and in terms of income, it should be divided into low-priced and high-priced models. In addition, in terms of IT familiarity, it was deduced that among the sub-markets with ‘medium’ IT familiarity, those who had withholding judgment should approach strategically to activate AI smart housing services and platforms and expand the base. Regionally, it was possible to derive a strategy that other regions such as Jeju-do or Gangwon-do were more advantageous than Seoul and Sejong-si for the point-in-time application. Finally, the total demand for AI smart housing service and platform is 10,780,401 households living in apartments nationwide, and the potential demand is 7,729,548 households.