The field of financial crimes is always changing, thus forensic fraud investigation must take a proactive approach. This work explores the future aspects of fighting theft, asset theft, and embezzlement while emphasising the difficulties in resource management, data analytics, and market intelligence from a vigilant standpoint. Traditional investigation techniques are not up to par with the ever-evolving financial markets and ever more sophisticated criminal activities. In order to go through enormous datasets and spot fraudulent activity, it is imperative that modern data analytics techniques be used, such as computer training and artificial intelligence. Nevertheless, incorporating new technologies into current research frameworks comes with a unique set of difficulties, including limitations on resources and worries about data protection. This study gravitates on the challenges and futuristic approach of conducting forensic fraud investigation with the help of primary data gathered through mixed methods research approach and provide a plausible conclusion to the same. With the endeavours of technology and changing landscape, this study emphasises on the certain parameters of fraud investigation which were not discussed in prior.