With the upsurge of the economic globalization, the communication between countries is getting closer and closer. Global languages are critical to locate offices and what languages would be spoken in the offices for a large multinational service company.we choose the two influences that the language promoted by the government (measured by the proportion of the population as official language) and social media (measured by the articles ) to model the distribution of various language speakers over time based on the GM(1,1) gray model.And then through the BP neural network, we predict the number of native speakers (take Spanish as an example) and total languages speakers in the next 50 years. And we find, the Japanese (top 9) will be replaced by the German (top11) around 2012. This is because the change of influencing factors over time leads to changes in the degree of influence on language communication. In the sensitivity analysis, we find that the total number of any language of speakers is positively correlated with the proportion of the countries that regard the language as the official language and the number of articles published by the language.