Multilingual Machine Translation is a computerized system that is designed to translate source text from various natural languages into target text of another natural languages. Due to increased need of global communication, multilingual machine translation is the propel for researchers. With the advancement in technology, now we have computerized systems that can replace the human experts in particular domains. One such popularly adopted domain by researchers is artificial intelligence (AI). AI gives birth to several applications where system can be used to work like a human expert. Natural language processing (NLP) is the application that is being studied from decades back to overcome the communication barriers that are mainly there due to the diversity in the regional languages. Machine translation (MT) system is available mostly for a specific language pair. Recently many MT systems are being designed for bilingual pairs. And the research is heading towards developing MT systems that are capable of handling more than two language pairs i.e. multilingual. MT systems still has so many issues to deal with. Recently developed multilingual systems are laden with the enormous size corpus. In this paper we present the analytical survey of multilingual machine translation system.