The gig economy has seen exponential growth in recent years with online food delivery (OFD) services emerged as a prominent segment. Online food delivery (OFD) platforms offer a wide range of cousins from different restaurants, convenience, financial benefits like coupons and discounts which are the main factors of its popularity. Due to this popular trend, researchers are also interests in doing research in this field. This study conducted a bibliometric analysis to map global research patterns in the domain of online food delivery within the gig economy. Using a systematic search on dimension.ai database, 335 publications from 1994 to December, 2024 were extracted using the key terms like “gig economy”, “gig”, “food delivery”, “online food delivery”, and “OFD” to analyze key trends, influential authors, leading journals, most cited articles and dominant research countries. For bibliometric analysis, networks of collaboration and thematic clusters visualization bibliometric tool i.e. VOSviewer software and MS-Excel were used. The results of this study highlighted that the number of publications has increased since 2019-20 and in the publication patterns regional differences were observed, with Asia and North America contributed the most research. This study has also a limitation that the data extraction source (dimension.ai, an open access database) may not contain high quality literature in comparison with Scopus and Web of Science database. However, by providing a comprehensive overview of existing research, this bibliometric study served as a foundation for future investigations into online food delivery within the gig economy.