U.S. Cable Upstream Peak Traffic Grows 47% Since March 2020

U.S. cable TV networks, which have 70 percent of the installed base of broadband connections, have seen cumulative downstream peak traffic growth since March 1, 2020 of 27 percent, with peak upstream growth up 47 percent since March 1, 2020, says the NCTA.

Throughout the pandemic, provider backbone networks have shown no signs of congestion, the group also  notes. 

source: NCTA 

Can Overbuilder ISP Market Share Exceed 30 Percent?

One key metric for any internet access overbuilder (any internet service provider competing against both a cable operator and a telco) in a market is take rate: the percentage of addressable homes that sign up for service. 

The reason is that a rule of thumb suggests an ISP competing as an overbuilder has to get about 30 percent share to be sustainable. The corollary is that the business case for other incumbents can get perilous, as that leaves 70 percent share for all the other providers.

It might help if the incumbents have multiple revenue streams to rely on (voice and video entertainment being the most common, plus business services). Still, a viable overbuilder dramatically reshapes both market share and profitability profiles for incumbents. 

Ting Internet seems to have overall take rates of 28 percent. In the past, Ting has estimated it would get about 20 percent take rates  within the first 12 months of active marketing, with a goal of reaching 50 percent over five years. 

In the past, Ting Internet has reported 30 percent take rates, so the latest data suggests that is a reasonable expectation for the markets Ting chooses to address. 

As was the case for overbuilders in the video entertainment business, and now with triple-play and internet access overbuilders, it has proven difficult to reach 20 percent market share after several years of operation.

As even the most-successful overbuilders have discovered, being the market leader is difficult, as the leader’s market share, in a competitive three-way market, might not exceed 30 percent or so of homes (potential accounts).

EPB in Chattanooga, Tenn., for example, is the poster child for overbuilder hopes, having gotten as much as 45 percent of consumer market share in its service area (with share defined as revenue-generating units, not “accounts” or “homes”).

EPB’s internet access share might be about 27 percent, its video share lower than that. An interesting statistic, in that regard, is that about eight percent of EPB’s internet access customers buy the gigabit service.

EPB’s market share is highly unusual in most overbuilder markets, as EPB arguably competes with Comcast, not AT&T, which has negligible video share in Chattanooga.

In a triple-play market, that is important. Comcast might have 61 percent video share, while EPB might have 36 percent share, leaving only three percent video share held by AT&T. Essentially, EPB has become the number-two provider, relegating AT&T to third place, something that is not the case in most other U.S. markets where three mass market fixed network suppliers compete.

Telcos Not Much Closer to Success in Enterprise Solutions Market, ABI Research Says

Telcos might not be much closer in 2021 to a goal of becoming relevant in the cloud-based enterprise solutions market, Don Alusha, ABI Research senior analyst suggests. 

That should surprise almost nobody, as the application value chain now rests on the internet, software platforms, and the cloud. That allows near-zero distribution and near-zero transactional costs, Alusha says. 

Direct competition from hyperscalers is a factor as well. Amazon offers multiple devices for either edge or on-premises deployments: Snowcone, Snowball, Wavelength, Outposts, and Greengrass IoT, for example. 

Hyperscalers also are already deploying enterprise digital solutions, most of which are usage- or subscription-based instead of upfront, capex-based solutions that telco solutions arguably require, says Dimitris Mavrakis, ABI Research senior research director. 

Telco operators will need to adapt to opex models to survive, especially in the small and medium enterprise (SME) segments of the market, he says.

“2020 has seen AWS, Google, and Microsoft all advancing and underlining their telco ambitions to provide enterprise connectivity solutions” says Mavrakis.

“Their existing ties with enterprises for cloud storage, as well as their general openness toward service-based offerings, will make them particularly attractive to enterprises,” says Leo Gergs, ABI analyst. 

That might also include hyperscalers supplying access services as well, he says. 

Hyperscalers are leading the market in consumption economics, says Alusha. In a sense, that is a continuation of a trend we saw a decade or two ago, as the enterprise software business became “consumerized,” with many consumer apps adopted first by employees and then supported by enterprise IT. 

Enterprise IT of the past was based on high switching costs, relatively low volume, high price, and a pay-up-front capital investment model. 

The future purchase pattern will instead be based on high volumes, low pricing, and an opex model. 

Telcos and their suppliers are not yet ready to fully embrace consumption economics, says Alusha. 

Telecommunications is an asset-intensive industry with expertise in managing factories and supply chains, developing technologies, and understanding the cost of goods sold, inventory turns, and manufacturing. 

Human-intensive services are entirely different, Alusha says. For example, in services and opex-based models, technology providers do not manufacture a product to then sell it. Instead, they sell a capability or knowledge, created “at the same time they deliver it,” he says. In other words, software is sold as a service, not a product. 

Loon Uses AI to Steer Balloons More Effectively

Loon’s navigation system’s most complex task--steering balloons--now is assisted by artificial intelligence, specifically deep reinforcement learning, a type of machine learning, Loon says. 

Overall, the RL system kept balloons in range of the desired location more often while using less power, according to Loon. 

source: Loon 

Reinforcement learning enables an agent to learn by trial and error in an interactive environment using feedback from its own actions and experiences, Loon says. “As far as we know, this is the world’s first deployment of reinforcement learning in a production aerospace system.”

This contrasts against the conventional approach of the automated system following fixed procedures artisanally crafted by engineers, Loon notes. 

In this case, RL helps optimize flight in the face of time-varying winds, partial visibility of the wind field surrounding the balloon, not always having enough power for the ideal maneuver and frequent decision points. 

Google AI teams hope that beyond Loon, this work on stratospheric navigation can serve as a proof point that RL can be useful to control complicated, real world systems for fundamentally continual and dynamic activity. 

Global Telecom Revenue Will Reach 2019 Levels in 2023

The telecom industry will take until 2023 before its revenue exceeds that for 2019, according to Analysys Mason, with 2021 revenue growth of about one percent. 

The industry will see a US$43 billion fall in 2020 revenue, a 2.7 percent drop, driven by lower mobile roaming revenues, business services and prepaid mobility. 

“One third of this will be recouped in 2021,” said Stephen Sale, Analysys Mason research director for consumer services.

The company sees no significant revenue from 5G in 2021. “It’s not a game changer for consumers,” he said.

Global WAN Services Revenue $76 Billion in 2020

The global enterprise wide area networks business generates about US$75.9 billion, TeleGeography says. 

MPLS represents 43 percent of that revenue; dedicated internet access 16 percent; SD-WAN two percent and local access (leased line and Ethernet connections from customer premise to carrier point of presence) 38 percent.

source: TeleGeography 

Earlier in 2020 I estimated $48 billion in 2020 enterprise WAN (long haul only) spending, which is very close to TeleGeography’s latest estimates. Global public network service revenues are about $1.7 trillion or so. So public network WAN service revenue represents about 4.4 percent of total public network revenues, with the WAN portion (excluding local access) being $46.6 billion or about 2.7 percent of global public network revenues. 

Some estimates put global public network revenue at a higher level around $2 trillion annually, in which case WAN services represent about two percent of total public service revenues. 

Not included in such figures are private WANs operated by hyperscalers and application providers, as they build and own their own networks. Nor would it be surprising if such buyers had a preference for dark fiber purchases or leases, rather than “lit” services. 

Using 2025 as a starting point for carrier SD-WAN services, it has taken five years to reach two percent share of total WAN service provider sales, or about 3.4 percent of total long-haul revenue, excluding local access. 

The expectation is that SD-WAN will cannibalize MPLS. 

Among the trends the latest TeleGeography data cannot show is the global shift to private networks for enterprise WAN traffic. 

By 2016, more than 70 percent of all internet traffic across the Atlantic was carried over private networks, not on public WAN networks. Obviously, that also means no revenue was earned directly by public service providers for carrying that traffic.

On intra-Asian routes, private networks in 2016 carried 60 percent of all traffic. On trans-Pacific routes, private networks carried about 58 percent of traffic.

The "5G Race" Storyline is Wrong, As Are So Many Others

The “5G race” story framework seemingly is irresistible: there will be winners and losers, with the winners moving fastest to deploy the networks. The only problem with the storyline is that it likely will prove to be false. 

Does anybody really believe being “first” with analog mobile services, or any of the past digital generations (2G, 3G, 4G) has mattered? Has it changed the economic positions of nations, or industries, beyond what we would expect for other reasons?

In other words, does early or late adoption actually matter? A fair assessment might be that it could matter for industry suppliers, in terms of market share. Some might argue Huawei gained from early supply of some 5G infrastructure, while Nokia suffered. 

On the other hand, the new emphasis on open and virtual networks opens the door for new suppliers, which might make early victories by incumbents irrelevant over the longer term, as new firms enter the supply chain. 

“Early or late” might temporarily provide advantage or disadvantage for particular mobile operators in some markets. But making sense of the advantage also must include the momentum and growth profiles of each firm before 5G. Maybe a firm gains or loses share in 5G because it already had been gaining share in 4G, for reasons unrelated to 5G deployment. 

Among the historical examples of the irrelevance of the early-late paradigm is the development of several technologies in the U.S. market, where adoption always has been “late.” That is said to be true now of U.S. 5G speeds. It is true for the moment, but ultimately the relevant gap will disappear. 

That does not mean U.S. speeds, on average, will be among the top 10 globally, for example. U.S. mobile speeds are slow, and have been relatively slow, for 4G services, compared to many other markets. The point is that it will not matter, in user experience or other expected benefits (for industry, firms, economic growth, innovation). 

But the “U.S. is behind” storyline has been used often over the last several decades. Indeed, where it comes to plain old voice service, the U.S. is falling behind meme never went away.

In the past, it has been argued that the United States was behind, or falling behind, for use of mobile phones, smartphones, text messaging, broadband coverage, fiber to home, broadband speed or broadband price. 

In the case of mobile phone usage, smartphone usage, text message usage, broadband coverage or speed, as well as broadband prices, the “behind” storyline has proven incorrect, over time. 

Some even have argued the United States was falling behind in spectrum auctions. That clearly also has proven wrong. What such observations often miss is a highly dynamic environment, where apparently lagging U.S. metrics quickly are closed.

To be sure, adoption rates have sometimes lagged other regions. Some storylines are repeated so often they seem true, and lagging statistics often are “true,” early on. The story which never seems to be written is that there is a pattern here: early slowness is overcome; performance metrics eventually climb; availability, price and performance gaps are closed over time. 

The early storylines often are correct, as far as they go. That U.S. internet access is slow and expensive, or that internet service providers have not managed to make gigabit speeds available on a widespread basis, can be correct for a time. Those storylines rarely--if ever--hold up long term. U.S. gigabit coverage now is about 80 percent, for example. 

Other statements, such as the claim that U.S. internet access prices or mobile prices are high, are not made in context, or qualified and adjusted for currency, local prices and incomes or other relevant inputs, including the comparison methodology itself. 

Both U.S. fixed network internet prices and U.S. mobile costs have dropped since 2000, for example. 

The point is that the “U.S. is behind” storyline seems irresistible. But it also ultimately is meaningless. All the relevant gaps were eventually overcome. One possible explanation is that U.S. service providers, who earn high profit margins compared to most other countries, upgrade deliberately, to maintain margins, rather than necessarily rushing to “be first.”

Consumer demand also is an issue. It can be argued that U.S. consumers wait to see value before adopting new technology, instead of rushing to buy the latest technology “just to be early adopters.”

The point is that the “5G is a race” is an irresistible storyline. But it arguably will be proven false. Countries, firms and consumers will adopt 5G when it makes sense, when it offers value, or simply as a byproduct of buying some other product, such as a desired phone model. 

That is, in substantial part, related to another problem journalists face, namely the “next big thing” storyline that becomes news because that is why proponents and vendors are pushing. Many journalists would probably agree that they tire of writing stories about the next big thing, or the present big thing, over and over again. It seems to be an occupational hazard. 

But the point is that easy storylines are irresistible for possibly lazy journalists. To be sure, deadlines create the need for story construction tools, including the venerable “two sides” framework (he said, she said). We all use such tools. 

That is why elections are characterized as horse races, or why verification matters. Still, some might argue that a bit of  laziness is why verification is sorely lacking, or why more original stories are not routinely created. It is not easy to do so routinely. It is harder work. But sometimes it leads to “better” storytelling.