Key Takeaways
- 300 million smart speakers sold globally by 2023.
- 55% of US households have at least one smart speaker in 2023.
- Android devices with Google Assistant: 3 billion+ in 2023.
- 72% of VA users employ music playback feature daily.
- 65% use VAs for weather checks weekly.
- Smart home control via VA used by 48% of owners.
- Global VA market to reach $50 billion by 2030.
- Voice assistants to handle 50% of searches by 2025.
- 8 billion VA-enabled devices by 2025.
- The global virtual assistant market was valued at USD 2.48 billion in 2020 and is expected to grow at a CAGR of 28.6% from 2021 to 2028.
- Virtual assistants market size is projected to reach USD 25.63 billion by 2025.
- In 2022, the virtual assistant industry revenue reached $8.5 billion globally.
- 52% of US adults use voice assistants weekly as of 2023.
- 27% of global internet users interact with virtual assistants daily in 2023.
- Amazon Alexa has 77 million US users in 2023.
Smart assistants are already everywhere, with billions of devices and rapid growth projected through 2030.
Related reading
01 · Category
Device Penetration21 stats
Device Penetration Interpretation
02 · Category
Feature Usage21 stats
Feature Usage Interpretation
03 · Category
Future Projections21 stats
Future Projections Interpretation
More related reading
04 · Category
Market Size and Growth20 stats
Market Size and Growth Interpretation
05 · Category
User Adoption Rates25 stats
User Adoption Rates Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Thomas Lindqvist. (2026, February 13). Virtual Assistants Statistics. Gitnux. https://gitnux.org/virtual-assistants-statistics
Thomas Lindqvist. "Virtual Assistants Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/virtual-assistants-statistics.
Thomas Lindqvist. 2026. "Virtual Assistants Statistics." Gitnux. https://gitnux.org/virtual-assistants-statistics.
Sources & references
48 datasets cited across this report · attribution is report-level

