ElevenLabs Mobile App Sees Moderate Uptake with Global Skew

Text-to-speech platform registers 350K installs with strongest demand from India.

ElevenLabs has recorded 350,000 downloads across the App Store and Google Play since launching its mobile app, marking a moderate entry into the consumer voice AI segment. The install base is evenly split between iOS and Android platforms, indicating balanced cross-platform interest.


According to AppFigures data, India leads as the top market, contributing 22% of the app’s total downloads. The United States follows with 18%. This breakdown reflects early adoption patterns that lean toward regions with strong mobile usage and broad multilingual needs. The app’s voice features may be appealing for users looking to streamline communication or consume content more fluidly across languages.

Market Penetration Remains Limited in Voice AI

Compared to more mature AI utilities like image and text generation, ElevenLabs operates in a quieter market segment. Its closest indirect competitor, Speechify, saw 670,000 installs in May 2025 and generated $2.5 million in net revenue that month. This gap suggests that while there is clear demand for voice tools, ElevenLabs is still in the early stages of consumer traction.

Appfigures data shows no sign of viral growth or category breakout. The adoption curve appears steady but unremarkable. User interest exists, but it hasn’t scaled quickly, and the lack of direct competition does not appear to have created automatic momentum.

Advertising Execution Falls Short

On the acquisition front, ElevenLabs is actively running Apple Search Ads, but the campaigns lack targeting precision. The company has not deployed Custom Product Pages, which limits its ability to tailor experiences for specific search queries or audience segments. Without campaign refinement, growth may plateau below potential.

Performance Suggests Room for Strategy Overhaul

Despite its strong technology and brand visibility in developer circles, ElevenLabs has yet to achieve measurable mainstream penetration. The figures do not indicate failure, but they reflect an underexploited position in a category that has room for expansion.

To improve traction, the company could explore vertical use cases, such as language learning, accessibility, or short-form content production, that have historically shown high engagement with audio tools. Tighter integration with content platforms or niche creator ecosystems may also unlock stronger network effects.

Note: This post was edited/created using GenAI tools.

Read next: Top AI-Powered Text-to-Speech Convertors for Voice Overs
Previous Post Next Post