Due to the recent worldwide outbreak of COVID-19, there has been a huge change in our lifestyle and it has a severe impact in different fields like finance, education, business, travel and tourism, economy in all the affected countries. In this scenario, people have to be careful and cautious about the symptoms and should act accordingly. Accurate predictions of factors, like the end date of the pandemic, duration of lockdown and spreading trend can guide us through the situation and precautions should be taken wisely. Multiple attempts have been made to model the virus transmission, but none of them has investigated it at a global level and concepts like recovery trend analysis in the developed and developing countries have not been discussed ever. The novelty of our proposed work lies here. In this paper, we have analysed the nature of spreading of the said disease using Time Dependent Discrete Susceptible Infected Recovered (TDDSIR) model on the data collected from various platforms and then, fifteen countries from first, second and third world have been considered to have an idea of probable future projections of pandemic. Experimental findings proved that proper social distancing measures during lockdown has been a controller of the disease transmission trend as the basic reproduction number, being actually the transmission rate and not the number of infectives, decreases with the strict lockdown decisions made by different countries. However, people should be more aware of the consequences for quick recovery from the various obstacles of the current situation.