Over 8.4 billion voice assistants are forecast for global use. These statistics detail the adoption, performance, and business impact of voice search technology.
Key Takeaways
- 8.4 billion voice assistants are expected to be in use worldwide by 2024, up from 2.5 billion in 2019 (forecast adoption growth)
- The global voice assistant market is projected to grow to $21.4 billion by 2024 (forecast market size)
- In 2023, 62% of internet users in the U.S. used voice search at least once (user adoption rate)
- In 2022, 55% of consumers used voice search to find information online (consumer usage rate)
- In 2023, 41% of people used voice search daily or weekly (frequency of use)
- 4.4% of Google searches were voice searches in the U.S. in 2021 (share of searches)
- 20% of queries on some mobile devices are voice-based according to Google research (voice-query share)
- In 2022, 15% of U.S. adults used voice assistants to search for medical information (vertical usage)
- By 2025, 70% of customer service organizations will use conversational AI, including voice interfaces (forecast adoption)
- The market for smart speakers is expected to reach 141.6 million units shipped in 2024 (device shipments forecast)
- In 2023, 74% of enterprises planned to use AI for customer service, increasing relevance for voice channels (enterprise AI planning)
- In a 2019 study, voice queries were answered with higher satisfaction when speech recognition confidence exceeded 0.85 (performance threshold)
- Google reported that it can recognize speech with accuracy exceeding 95% on many voice search scenarios (recognition accuracy)
- In a 2020 experiment, users were more likely to complete a task when voice search results returned within 2 seconds (speed threshold)
- In 2022, 35% of enterprises said conversational AI reduced support costs (cost impact share)
By 2024, billions will use voice assistants and businesses must optimize voice to meet faster, smarter customer needs.
Related reading
01 · Category
Market Size2 stats
01
8.4 billion voice assistants are expected to be in use worldwide by 2024, up from 2.5 billion in 2019 (forecast adoption growth)
02
The global voice assistant market is projected to grow to $21.4 billion by 2024 (forecast market size)
Interpretation
Market Size Interpretation
By 2024, the voice search market is forecast to reach $21.4 billion and the number of voice assistants worldwide is expected to jump from 2.5 billion in 2019 to 8.4 billion, signaling rapid market expansion from the category perspective.
02 · Category
User Adoption4 stats
01
In 2023, 62% of internet users in the U.S. used voice search at least once (user adoption rate)
02
In 2022, 55% of consumers used voice search to find information online (consumer usage rate)
03
In 2023, 41% of people used voice search daily or weekly (frequency of use)
04
In 2023, 64% of U.S. consumers said they use voice assistants on mobile devices (usage share)
Interpretation
User Adoption Interpretation
From an adoption perspective, voice search has become mainstream with 62% of U.S. internet users using it at least once in 2023 and daily or weekly use rising to 41% of people, while 64% of U.S. consumers report using voice assistants on mobile devices.
03 · Category
Usage Penetration3 stats
01
4.4% of Google searches were voice searches in the U.S. in 2021 (share of searches)
02
20% of queries on some mobile devices are voice-based according to Google research (voice-query share)
03
In 2022, 15% of U.S. adults used voice assistants to search for medical information (vertical usage)
Interpretation
Usage Penetration Interpretation
Voice search is still not mainstream overall but it is clearly gaining traction as usage, with voice queries making up 4.4% of Google searches in the US in 2021 and reaching 20% on some mobile devices, while 15% of US adults used voice assistants to look up medical information in 2022.
More related reading
04 · Category
Industry Trends7 stats
01
By 2025, 70% of customer service organizations will use conversational AI, including voice interfaces (forecast adoption)
02
The market for smart speakers is expected to reach 141.6 million units shipped in 2024 (device shipments forecast)
03
In 2023, 74% of enterprises planned to use AI for customer service, increasing relevance for voice channels (enterprise AI planning)
04
By 2024, 25% of customer service operations will use AI for customer interactions, including voice (forecast)
05
In 2022, 69% of surveyed consumers were more likely to use voice assistants after learning they can be used to resolve questions (trust/utility)
06
In 2023, 61% of marketers said they have either launched or are planning to launch a voice or audio search optimization effort (marketing readiness)
07
By 2026, the number of voice biometrics authentication transactions will exceed 1 billion per month globally (forecast usage)
Interpretation
Industry Trends Interpretation
The biggest Industry Trends signal for voice search is that conversational and AI driven customer service is rapidly scaling, with Gartner projecting that by 2024, 25% of customer service operations will use AI for customer interactions including voice and by 2025 70% of organizations will adopt conversational AI with voice interfaces.
05 · Category
Performance Metrics6 stats
01
In a 2019 study, voice queries were answered with higher satisfaction when speech recognition confidence exceeded 0.85 (performance threshold)
02
Google reported that it can recognize speech with accuracy exceeding 95% on many voice search scenarios (recognition accuracy)
03
In a 2020 experiment, users were more likely to complete a task when voice search results returned within 2 seconds (speed threshold)
04
In a usability study, 72% of participants preferred voice search over typing when they could speak naturally without pauses (naturalness)
05
In a 2022 study, voice search produced higher task success than manual search for informational queries (task performance)
06
In a 2021 paper, ASR models using end-to-end transformer architectures reduced WER by 20–30% versus earlier baselines (accuracy gain)
Interpretation
Performance Metrics Interpretation
Across these performance metrics, voice search stands out for measurable gains in both accuracy and speed, such as over 95% recognition in many scenarios and 72% of users preferring it when they can speak naturally, with a 2 second results window strongly tied to task completion.
06 · Category
Cost Analysis5 stats
01
In 2022, 35% of enterprises said conversational AI reduced support costs (cost impact share)
02
A 2020 Gartner estimate placed conversational AI implementation costs at roughly 10–20% of traditional contact-center automation projects (relative cost)
03
In a 2022 vendor benchmark, deploying voicebots reduced average resolution time by 25% for common FAQs (efficiency gain)
04
In 2019, the global cost of customer service for voice channels was estimated at $~400 billion annually (industry cost size)
05
In a 2020 analysis, speech-to-text processing costs were estimated at fractions of a cent per minute for major cloud providers (unit cost)
Interpretation
Cost Analysis Interpretation
Voice search and conversational AI are increasingly cost effective, with 35% of enterprises reporting lower support costs in 2022, implementation projected at only 10–20% of traditional contact-center automation costs, and voicebots cutting resolution time for common FAQs by 25%, all while speech to text processing runs at fractions of a cent per minute for major cloud providers.
report visual · Key figures
Voice search adoption is rising
Usage and adoption indicators show accelerating mainstream uptake across consumers and voice assistants.
55%
In 2022, 55% of consumers used voice search to find information online (consumer usage rate)
62%
In 2023, 62% of internet users in the U.S. used voice search at least once (user adoption rate)
41%
In 2023, 41% of people used voice search daily or weekly (frequency of use)
source-verifiedgartner.com · businessofapps.com · searchenginejournal.com2023
Reference
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.
APA
Julian Richter. (2026, February 13). Voice Search Statistics. Gitnux. https://gitnux.org/voice-search-statistics
MLA
Julian Richter. "Voice Search Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/voice-search-statistics.
Chicago
Julian Richter. 2026. "Voice Search Statistics." Gitnux. https://gitnux.org/voice-search-statistics.
Sources & references
27 datasets cited across this report · attribution is report-level
+6 additional datasets cited (not shown individually)