Background: The Kingdom of Saudi Arabia has substantially expanded digital health services in recent years through eHealth platforms such as Sehaty and Wasfaty, aligning with the digital transformation pillar of Vision 2030. Despite this rapid expansion, the uptake of healthcare applications among older adults has remained uneven, with barriers reported in digital literacy, usability, and perceived benefit. Objective: This study aimed to examine the factors influencing older adults' awareness and utilization of healthcare applications and the perceived effect of these applications on quality of life in Jeddah City, Saudi Arabia. Methods: A cross-sectional quantitative design was adopted. Data were collected in Jeddah City through an electronic questionnaire distributed in June 2025. The target population consisted of Saudi adults aged 30 years and above. A stratified random sampling technique was used based on age, gender, and education level. Out of 316 distributed questionnaires, 227 were returned (71.8% response rate) and 161 valid responses were retained for analysis. A structured Arabic-language questionnaire comprising four sections was developed and pilot-tested. Data were analyzed using SPSS Version 26, including descriptive statistics, chi-square tests, t-tests, one-way ANOVA, Pearson and Spearman correlations, and multiple linear regression, with statistical significance set at p < 0.05. Cronbach's alpha coefficients ranged from 0.875 to 0.944 across the subscales, with an overall alpha of 0.889 for the 39-item instrument. Results: The final sample (n = 161) was predominantly female (74.5%), aged between 30 and 40 years (60.9%), held a bachelor's degree (62.7%), and was married (81.4%). Awareness of healthcare applications differed significantly by gender, age, education, job title, occupation, and marital status (all p < 0.001). The strongest positive correlates of awareness and utilization were perceived benefit (r = 0.831), perceived ease of use (r = 0.681), and health and ageing issues (r = 0.658). The multiple regression model was significant, R² = 0.727, F(6, 156) = 69.26, p < 0.001. Perceived benefit (β = 0.606, p < 0.001) was the strongest predictor, followed by perceived ease of use (β = 0.193, p = 0.002) and health and ageing issues (β = 0.146, p = 0.013). Conclusion: Perceived benefit and perceived ease of use emerged as the key drivers of older adults' awareness and utilization of healthcare applications in Jeddah City. User-friendly design and clear communication of tangible value are therefore essential to maximize adoption and enhance the quality of life of this growing population.