Background: Although GBS associated maternal, perinatal, and neonatal mortality and morbidity disproportionately affected sub-Saharan Africa, a comprehensive data on GBS are limited in the region. Therefore, we performed a systematic review and meta-analysis that aimed to estimate the prevalence of maternal colonization, vertical transmission, serotype distribution and antimicrobial resistance pattern of GBS isolates in sub-Saharan Africa. Methods: This systematic review was done according to Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. MEDLINE/PubMed, CINAHL (EBSCO), Embase, SCOPUS, Web of Sciences databases, and Google Scholar were used to retrieve both published and unpublished articles. Two independent reviewers (FW and MTB) screened titles and abstracts and double-checked by a third reviewer (EH). The authors used STATA software version 17 for analysis of the selected articles. Forest plots using the random- effect model were used to present the findings. The heterogeneity was assessed using Cochrane chi-square (I 2 ) statistics, while Egger intercept was used to assess publication bias. Results: This systematic review and meta-analysis included 58 studies that fulfilled the eligibility criteria. The pooled prevalence of maternal RVC and vertical transmission of GBS were 16.06 [95% CI (13.94-18.30)] and 43.31% (95% CI: 30.75-56.32) respectively. The highest pooled proportion of antibiotic resistance to GBS was observed in Gentamycin, i.e., 45.58(4.12- 91.23), followed by Erythromycin, i.e., 25.11(16.70-34.49). Nonetheless, the lowest antibiotics resistance was observed in Vancomycin, i.e., 3.84 (0.48- 9.22). Our finding indicate that serotypes (Ia/Ib/II/ III/V) cover almost 88.6% of serotypes in sub-Saharan Africa. Conclusions: The estimated high prevalence and resistance to different antibiotic classes observed in GBS isolates from sub-Saharan Africa suggest the need for implementation of effective interventions efforts. Further research on GBS should prioritize high-quality data, antibiotic resistance, sequence type and serotype distributions; these could help to guide the interventions efforts.