Samsung Electronics launched the Galaxy Z Fold8 and the Galaxy Z Fold8 Ultra this month, splitting its flagship foldable lineup for the first time.

This strategic shift allows Samsung to target distinct user segments while pushing AI-driven experiences into the foldable market. By diversifying the Fold series, the company can offer a tiered pricing structure to capture both high-end enthusiasts and more mainstream consumers.

At the July 2026 Galaxy Unpacked event, the company unveiled three new foldable models: the Galaxy Z Fold8, the Galaxy Z Fold8 Ultra, and the Galaxy Z Flip8 [2]. This marks a departure from previous years where the Fold series consisted of a single primary model.

The Galaxy Z Fold8 Ultra is positioned as the premium offering in the suite. This high-end device carries a price tag of $2,100 [1]. While some reports suggest the new foldables are designed for every type of user, the Ultra model specifically targets the premium segment [1, 3].

Samsung said the decision to split the lineup lets the company showcase advanced AI-driven features and expand the overall foldable market [3, 4]. The company is betting that these AI integrations will differentiate the Ultra model from the standard Fold8.

Industry observers note that the introduction of an Ultra tier follows a pattern seen in Samsung's S-series smartphones. By creating a clear distinction between the standard and Ultra models, Samsung can push the boundaries of hardware and software in the Ultra version without pricing the standard model out of reach for the average consumer.

Samsung launched two new foldable smartphones, the Galaxy Z Fold8 and the Galaxy Z Fold8 Ultra, splitting the Fold lineup for the first time.

The introduction of a tiered foldable system indicates that Samsung views the foldable market as mature enough to support multiple price points. By mirroring the strategy used for its slab phones, Samsung is attempting to maximize revenue from 'power users' while maintaining a competitive entry point for the broader market, all while using AI as the primary catalyst for the upgrade cycle.