The Indian market witnessed a paradigm shift in data consumption, with 4G traffic capturing 82% share of total data traffic in December 2017.
So concludes the latest edition of Nokia’s Mobile Broadband India Traffic (MBiT) Index 2018. Nokia MBiT Index is a report on mobile broadband performance in India. It aims to provide valuable insight, data and analysis on mobile broadband and traffic growth in the country by co-relating these trends with various demand and supply-side drivers of the connectivity ecosystem. These include variables such as handset and device numbers, content, subscriber usage patterns and network investments by mobile operators.
The latest edition of the report focusses on the following for the year 2017, and expected trends in 2018:
Pan-India and Circle-wise Mobile Data Trends
Data consumption patterns for 3G and 4G and type of content consumed
Current device ecosystem for 3G, 4G and VoLTE devices in India.
As well as the paradigm shift in data consumption, takeaways from the report include:
A significant increase in data consumption with 4G usage reaching ~11Gbytes/user/month
Overall data traffic grew 144% in 2017, driven by surge in 3G and 4G data consumption. Access to high-speed 4G internet increased appetite for overall data consumption in the country
3G data grew 286% in 2017 against 25% in 2016, driven by increased appetite for data consumption and better coverage
Video contributed to a 65% to 75% share of mobile data traffic; within video, OTT usage is driven by cheaper data plans, and launch of locally relevant as well as original content
In 2017, Hindi and regional languages comprise >90% of popular videos watched on YouTube India
Driven by availability of affordable devices, 3G and 4G device base grew 1.1 times and 1.7 times respectively
VoLTE handsets achieved scale with an estimated base of 162 million.
The MBiT Index has been created based on Nokia’s analysis of data obtained from various sources. It analyses mobile broadband traffic trends only at a consolidated level, and does not intend to provide any comparative analysis of data growth of different operators.