Women are participating in the gig economy at a higher rate than males do because of the flexible work schedules and high earning possibilities. Nonetheless, there is a strong gender bias in the nature of these recently established job opportunities. Both a descriptive and an exploratory design are used in the investigation. The primary source of the data. Survey is the research methodology, and a questionnaire with two sheets—a socioeconomic sheet and a Likert scale—is the data gathering tool. 100 Mumbai-based women make up the sample, and the cluster cum convenience and The target respondents are women between the ages of 18 and 60 who are employed in a variety of gig jobs such as beauticians, masseuses, domestic workers, carers, and taxi drivers, either under the auspices of an organisation or independently. Anova test is applied to know the association of Benefits and Challenges with Demographic factors.