Examination and analysis in mobile forensics focus on extracting, interpreting, and correlating digital evidence from mobile devices to reconstruct events and support investigations. Research in this area emphasizes developing automated and intelligent methodologies to handle diverse operating systems, applications, and data formats. Key topics include recovery of deleted or encrypted data, metadata analysis, app and communication forensics, and malware detection on mobile platforms. Other significant areas involve AI- and machine learning–driven evidence classification, anomaly detection in user behavior, and correlation of mobile data with cloud-stored information. Emerging directions explore privacy-preserving forensic analysis, real-time monitoring and data acquisition, forensic readiness for mobile ecosystems, and standardized procedures for ensuring evidence integrity and legal admissibility. Additionally, challenges such as handling large volumes of data, multi-platform devices, and anti-forensic techniques remain critical for advancing mobile forensic examination and analysis research.