US Smartphone Voice Assistant Users and Penetration, by Generation

Timeframe20222023202420252026
Millions
– Gen ZMaximum of two rows can be charted.
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– MillennialMaximum of two rows can be charted.
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– Gen XMaximum of two rows can be charted.
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– Baby boomerMaximum of two rows can be charted.
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% Change
– Gen ZMaximum of two rows can be charted.
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– MillennialMaximum of two rows can be charted.
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– Gen XMaximum of two rows can be charted.
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– Baby boomerMaximum of two rows can be charted.
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% of Voice Assistant Users
– Gen ZMaximum of two rows can be charted.
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– MillennialMaximum of two rows can be charted.
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– Gen XMaximum of two rows can be charted.
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– Baby boomerMaximum of two rows can be charted.
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% of Smartphone Users
– Gen ZMaximum of two rows can be charted.
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– MillennialMaximum of two rows can be charted.
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– Gen XMaximum of two rows can be charted.
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– Baby boomerMaximum of two rows can be charted.
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% of Internet Users
– Gen ZMaximum of two rows can be charted.
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– MillennialMaximum of two rows can be charted.
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– Gen XMaximum of two rows can be charted.
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– Baby boomerMaximum of two rows can be charted.
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% of Population
– Gen ZMaximum of two rows can be charted.
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– MillennialMaximum of two rows can be charted.
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– Gen XMaximum of two rows can be charted.
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– Baby boomerMaximum of two rows can be charted.
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Source: eMarketer

Note: individuals of any age who use voice assistants via smartphone at least once per month; Gen Z are individuals born between 1997 and 2012; millennials are individuals born between 1981 and 1996; Gen X are individuals born between 1965 and 1980; baby boomers are individuals born between 1946 and 1964

Additional Note: A smartphone voice assistant is intelligent software that responds to voice command that runs on a smartphone. Examples include Apple’s Siri, Google Assistant and Samsung’s Bixby. Smartphones are any voice handset with an advanced operating system (e.g., Android, BlackBerry, iOS, Windows Phone, etc.) and features/capabilities that resemble a PC.

Methodology: Estimates are based on the analysis of survey and traffic data from research firms and regulatory agencies, sales projections, historical trends, company-specific data, and demographic and socioeconomic factors.

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