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operator forecast

IEMR's Global Fixed Line, Cable, and Broadband Operator Forecast covers over 2,000 fixed operators in 200+ countries and territories, including operator, carrier, ISP, Multichannel TV (IPTV, CATV, DTT, DTH) and VoIP subscription breakdowns by technology.

Technologies covered include: xDSL, Cable modem, Ethernet including UTP / FTP, Fixed Wireless Broadband, FTTx, LTE, Powerline, Satellite, VDSL, and WiMax.

We also provide revenue (service revenue, operating revenue), profitability (EBITDA, EBIT) and performance metrics (ARPU) for a selected group of operators, cable MSOs, and ISPs that report their fixed line financial metrics separately. Put together, this database has over 2 million data points in it and is one of the most comprehensive databases of its kind in the world. 


Historical Data Collection

IEMR’s Global Fixed Line, Cable, and Broadband Subscriber Forecast follows a rigorous methodology to capture historical data. These include deploying our web capture technology which allows us to track publicly available historical data announced by carriers.


We complement this data with metrics collected through our EnterpriseONE Panel. In this way, our historical data is based on more rigorous market research techniques than other analyst firms.

IEMR’s EnterpriseONE Panel is the world’s largest telecoms-specific executive panel built from the ground up with over 100,000 panelists and a laser-focus on the telecoms ecosystem.

Coverage includes: Communications Service Providers (CSPs), Telecom Operators, Internet Service Providers (ISPs), Network Infrastructure Vendors, Hardware / Software / Device Vendors, Systems Integrators, and Enterprises.

Based on these methodologies, clients can be assured that the historical data they are getting is based as much as possible on real data, not on some analyst’s estimates.

Forecast Methodology

IEMR’s Global Fixed Line, Cable, and Broadband Subscriber Forecast is based on a “structural – time series” forecasting methodology.

In the short term (eight quarters), our forecast is based at the operator level and the best fit time series forecast is used to estimate operator metrics for eight quarters. This short-term forecast is adjusted for technology and regulatory changes that may affect subscriber connections at any given operator.

In the long term, we base operator-level forecasts on the Gompertz Sigmoid Curve where the limiting factor is the achievable penetration for a given country based on its income level and other telecoms-specific metrics (PC Penetration, PSTN coverage, Teledensity, Cable TV homes passed, etc.).

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