Android operating system (OS) for smartphones is more popular than other systems such as Apple iOS. Due to this Android applications are being developed at a fast pace across the whole mobile ecosystem, but as a consequence, this Android malware is also ascending continuously. The data of the customers present on the smartphone needs to be protected from the attacks done by hackers through malware-affected applications. In this research, the detection of Android malware is reviewed concerning other publications, and the different malware analysis techniques—hybrid, dynamic, and static—in addition to learning-based detection methods are examined. This paper focuses on the recent development in Android malware detection and discusses the findings of the work to help researchers gain some insights about the malware detection scenario.