How many Americans will be using an iPhone when the US smartphone market saturates?
As previously noted, the US smartphone market has followed an almost perfectly logistic growth. The measured data (via comScore, in green below) follows a predictive logistic function (thin blue whose formula is discussed here).
Context & Ripple Effects
Asymco has been building toward this projection since mid-2011, when its switching-rate model forecast 50% US smartphone penetration by August 2012, and again that December when it flagged the curious slowdown in US Android growth. The throughline: adoption was always going to flatten, and the question was who holds share when it does.
This December 2013 piece formalizes that argument with a fitted logistic function against comScore's monthly panel data — the same data stream behind comScore's July 2012 'migration' finding that 62% of first-time smartphone buyers chose Android versus 25% choosing iPhone, and behind November 2013 readings showing iPhone gains alongside Google's broad reach. The pickup by Gigaom and App Advice reflects how closely the analyst community tracks these saturation curves.
First-order effects
- Saturation shrinks the first-time-buyer pool where Android over-indexes — comScore's own data had 62% of new US smartphone owners choosing Android against 25% choosing iPhone — so Apple and Google's contest shifts decisively to converting each other's existing users.
- Asymco's logistic fit hands investors and platform strategists a modeled ceiling for the US iPhone installed base, turning share debates from open-ended growth stories into a bounded race.
Second-order effects
- With net-new activations drying up, monthly measurement panels like comScore's become the primary scoreboard, increasing the value of granular tracking data to anyone betting on platform share swings.
- Switcher economics move to center stage: retention and upgrade programs at Apple, Samsung and carrier partners matter more than acquisition offers aimed at feature-phone holdouts, whose ranks the curve shows are nearly spent.
Third-order effects
- If the logistic pattern holds, the US becomes a replacement market in which any iPhone or Android share gain must come directly out of a rival's installed base — a structure that rewards incumbents with high loyalty and penalizes strategies built on first-time-buyer volume.
- Adoption-curve modeling of this kind risks becoming the standard lens for device-demand forecasting, pushing the industry's attention from 'how big can the market get' to 'who owns the people already in it.'
The trend: US smartphone adoption is tracing a textbook logistic curve, and platform competition is rotating accordingly — from harvesting first-time buyers toward converting one another's installed bases.