Aesthetic trends 2026: naturalness, sustainability and AI

The report presented by PerfectCorp combines a survey of 300 consumers and Spate data to map out 2026 expectations in aesthetics: sustainability, natural results and AI visualization. These elements highlight preferences for skin prevention, transparency and pre-treatment confidence.

Broad adoption and key figures

80 % of respondents are in favor of treatments such as Botox, dermal fillers and advanced skin procedures. In the sample, 45 % say they have already had a procedure, and 44 % are seriously considering one. However, a third of those surveyed regret having undergone a procedure.

Research and behavior: prevention and micro-interventions

Spate reports an increase in research on the «ageing management» 151.6 % year-on-year. Interest in «micro-injections» increased by 859.7 % over the same period, reflecting a search for discrete results. The report highlights a growing preference for preventive care, skin health and subtle improvements rather than radical transformations.

AI visualization appears to be a confidence-booster: 84 % feel that AI-generated insights into procedures such as Botox and filler injections would boost their confidence before trying a treatment, and 87 % feel that AI visualization would improve their trust in a practitioner.

Alice Chang, founder and CEO of Perfect Corp. emphasizes the role of skin analysis and AI simulation technologies for consultations: *«As aesthetic treatments become increasingly integrated into modern beauty and wellness routines, consumers are looking for personalized guidance, natural results and greater certainty before making a decision.»

The skin analysis and AI simulation APIs are presented as easy to integrate and scalable, designed for medical-aesthetic centers, clinics, dermatologists and skin care professionals to offer personalized consultations and realistic simulations.

The report combines survey and data from Google searches, TikTok views and Instagram posts via the Spate index, providing a measure of online interest in observed aesthetic trends.

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