Use of AI tools in business decisions and operations are inevitable but such AI tools are not easy to understand for users. Hence, limitation of understanding employed AI tools due to its complex functionality to derive at desired result has given scope of explainable AI (XAI). The present study attempts to identify the role, insight, implication, and future scope of using XAI in business by exploring existing literature on this theme. The study employs SPAR-4-SLR method of literature review for bibliometric analysis. Year-wise, Author-wise, Citation- wise, Country-wise, Source-wise and keywords-wise listing is the parameter to conduct present study. This study provides insights on trends and future scope of Explainable AI in business. It can be concluded that explainable Artificial Intelligence in business is not limited to core business operation i.e., production, finance, marketing, human resource etc. only but has substantially expanded to other domains related to business e.g., supply chain finance, sustainability, ESG investment, industry 4.0 etc. The ethical issues related to AI like transparency, privacy, accountability and fairness, and regulation of XAI are also promising research topics for further exploration.