The Thai mobile market continues to grow. By mid-2009 there were 64 million mobile subscribers in the country and penetration was around the 100% mark. The subscriber numbers were up from 30 million in 2005.
With the arrival of two additional players in the mobile market – TA Orange (later called True Move) and Hutchison CAT – almost a decade ago, the powerful duopoly of AIS and DTAC was fundamentally challenged as competition began heating up. There was also the launch of Thai Mobile, the TOT/CAT mobile joint venture, over this period.
The market is now in need of some rationalisation; regulatory changes will continue to be a big factor in shaping the future market. This means that much will depend on the government and the regulator to make the necessary changes. The commercial rollout of 3G networks will also be watched with great interest. This report presents an overview of the Thai mobile market, including some pertinent statistics.
Mobile Operator Forecast on Thailand provides over 50 operational and financial metrics for Thailand’s wireless market and is one of the best forecasts in the industry. We provide five-year forecasts at the operator level going out to 2014.
We also provide quarterly historical and forecast data starting in 1Q2003 and ending in 2Q2012. Mobile network operators covered for Thailand include: AIS (Advanced Info Service Public Company Limited), DTAC (Total Access Communication Public Company Limited), True Move (True Corporation Public Company Limited), Hutch Thailand (Hutchison Telecommunications International Limited), TOT Public Company Limited (Thai Mobile), and CAT Telecom Public Company Limited. Our Mobile Operator Forecasts are updated quarterly and are available for one-time delivery or through regular updates.
Global Mobile Operator Forecast covers 50+ metrics on 800+ mobile operators in 200+ countries. Our forecasts are based on our proprietary, country-specific forecasting models. These models deploy multiple regression analysis and cross-impact matrices that estimate relationships between subscriber data, technology use and deployment data, overall economic and demographic changes expected in a particular country; and relate these to company operational and financial metrics.