Skip to main content

Cable HSD Broadband Growth Forecast



Kagan Research published a report predicting the growth in new high-speed data (HSD) customer additions for cable operators in the U.S. will crest in 2005, but the continued migration of dial-up customers promises expansion for the industry. Kagan forecasts cable modem subscribers will top 38 million by 2009, amid intense competition from DSL providers. Report highlights include:

* Cable currently dominates the HSD market with approximately 60 percent market share. Kagan projects that will shrink to 53 percent by 2009, with telco providers growing share from 35 percent in 2001 to 40 percent in 2009.
* The average recurring monthly revenue from a cable sub is more than $41, leading to a total annual revenue of $9.5 billion. in 2004. The average recurring monthly revenue from the average DSL sub at $32 generated annual revenues of $5.76 billion. in 2004.
* BellSouth at the end of 2004 had the highest penetration of DSL subscribers to total access lines at 9.8 percent. With an estimated 16.9 percent penetration of DSL subscribers on primary access lines, BellSouth was second only to SBC's 22 percent.

Popular posts from this blog

How AI Transforms Financial Decision-Making

Artificial intelligence (AI) has emerged as a transformational force, reshaping business processes and unlocking new possibilities for efficiency and innovation in corporate finance. The latest Gartner survey on AI usage in finance provides evidence of this emerging trend, offering valuable insights into the future growth trajectory of AI in finance. The Gartner survey reveals a significant milestone. As of 2024, 58 percent of finance functions actively use AI technology -- that's a substantial increase from previous years. Artificial Intelligence Market Development Perhaps even more telling is the projection that by 2026 more than 80 percent of finance functions are expected to be leveraging AI solutions. The survey sheds light on the use cases of AI in finance: AI is being deployed to enhance forecasting accuracy and provide deeper insights into financial trends. Automation of routine tasks and improved accuracy in financial reporting are key benefits observed. AI algorithms are