ECONOMIC IMPACT OF COVID-19 ON TELE COMMUNICATION INDUSTRY

Abstract

The COVID-19 pandemic has disrupted global economies and industries, causing substantial shifts in market dynamics, consumer behavior, and business operations. Among the few industries that witnessed both challenges and growth opportunities during the pandemic, the telecommunication industry stands out. As remote working, online education, virtual healthcare, and digital entertainment surged, the dependency on telecommunication networks intensified. However, this rapid and unexpected surge in demand also exposed gaps in infrastructure, scalability, data management, and digital inequality.This study analyzes the economic impact of COVID-19 on the telecommunications sector by examining revenue changes, service demands, infrastructure stress, labor shifts, and technological advancements. Moreover, it highlights how software technologies, particularly machine learning (ML) and deep learning (DL), played a vital role in optimizing network traffic, predicting outages, enhancing customer experience, and enabling adaptive pricing models during and after the crisis. Through a combination of qualitative and quantitative research, this paper aims to provide a holistic understanding of the evolving role of telecommunications in a post-pandemic digital economy, while recommending the integration of AI-driven systems to improve future resilience and service delivery