Tochaiwat, K., Budda, A., Seniwong, P. (2025). Forecasting technologies impacting real estate business during the transition to 2030s. , 18(1), 92-98. doi: 10.30772/qjes.2025.155895.1450
Kongkoon Tochaiwat; Anuwat Budda; Patcharida Seniwong. "Forecasting technologies impacting real estate business during the transition to 2030s". , 18, 1, 2025, 92-98. doi: 10.30772/qjes.2025.155895.1450
Tochaiwat, K., Budda, A., Seniwong, P. (2025). 'Forecasting technologies impacting real estate business during the transition to 2030s', , 18(1), pp. 92-98. doi: 10.30772/qjes.2025.155895.1450
Tochaiwat, K., Budda, A., Seniwong, P. Forecasting technologies impacting real estate business during the transition to 2030s. , 2025; 18(1): 92-98. doi: 10.30772/qjes.2025.155895.1450

Forecasting technologies impacting real estate business during the transition to 2030s

Al-Qadisiyah Journal for Engineering Sciences
Article 14, Volume 18, Issue 1, March 2025, Pages 92-98    PDF (20.2 M)
Document Type: Research Paper
DOI: 10.30772/qjes.2025.155895.1450
Authors
Kongkoon Tochaiwat* 1, 2; Anuwat Budda1, 2; Patcharida Seniwong2
1Faculty of Architecture and Planning, Thammasat University, Pathum Thani, Thailand.
2Thammasat University Research Unit in Project Development and Innovation in Real Estate Business, Thammasat University, Pathum Thani, Thailand.
Abstract
Currently, numerous technologies play a significant role in the real estate business, particularly in meeting the needs of prospective buyers and residents of housing projects. However, the competition and risks in the industry compel real estate developers to carefully compare the advantages and disadvantages that may arise from the adoption of technology. This research aims to examine the trends in technologies implemented in housing development projects during the transition from the 2020s to the 2030s. The survey involved interviews with five real estate experts who possess knowledge and experience in (1) design, (2) construction, (3) innovation management, (4) location selection, and (5) real estate sales and marketing. The interview results were analyzed using the Content Analysis Technique. The findings indicate a high likelihood that technologies facilitating home convenience and safety, air circulation technologies, energy-saving technologies, wellness support technologies, environmental pollution detection technologies in communal areas, prefabricated house technologies, cost-reducing or recycled material usage technologies, smart home technologies, renewable energy technologies, home network control technologies and internet network technologies, and advertising and public relations technologies to increase project awareness among potential homebuyers will become prominent. In addition, the development of post-occupancy resident care applications is anticipated. These findings can be used by businesses in related industries to develop products and services that better meet the needs of homebuyers and enhance their quality of life.
Keywords
Real estate sales; Real estate technology; Trend forecasting; Technology management; Modified delphi method
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