Big data analysis is a discipline that is gaining momentum, and it is used by big corporations, institutions, and governments for decision-making purposes. Corporations that use big data analytics are able to increase their profitability by up to 60%. However, SMEs are finding it difficult to adopt and implement big data analytics owing to limited access to human resources, such as a skilled labour force that is able to manage and analyse data, and insufficient financial resources. This study conducted a bibliometric analysis in which 534 documents were extracted from Scopus databases. The top 20 leading authors with the most documents, citations and keywords are outlined and discussed in this paper. Density visualisation and an overlay visualisation for 2012 to 2022 are depicted and discussed. The study found that “SMEs”, “suitability”, “e-marketing”, “e-services”, “efficiency”, “developing countries”, “Africa”, and “South Africa” were the dominant terms used in the documents accessed. This study recommends that collaborations be formed between institutions of higher learning and government departments that support SMEs and focus on science and innovation to speed up the adoption of big data analytics and increase research in the area. The field would benefit from future studies on the different frameworks that SMEs can use when adopting and implementing big data analytics.