Voice Assistant Application Market Size and Share

Voice Assistant Application Market (2026 - 2031)
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Voice Assistant Application Market Analysis by Mordor Intelligence

The voice assistant application market size reached USD 9.02 billion in 2026 and is projected to climb to USD 18.36 billion by 2031, advancing at a 15.27% CAGR. This growth trajectory stems from the shift of voice assistants from novelty add-ons to core enterprise utilities as large-language-model dialog engines now handle multi-turn customer interactions with near-human fluency. Within the current landscape, solutions account for a 61.27% voice assistant application market share, yet services will see faster 17.22% expansion as organizations outsource integration of Alexa, Google Assistant, and Siri into proprietary workflows. Spending remains anchored in speech recognition at 46.63%, although edge computing is accelerating at 16.88% because automotive and smart-home vendors favor on-device wake-word processing to minimize latency and safeguard privacy. Cloud deployment retains 59.47% share, but hybrid models are widening at 15.75% as healthcare and financial institutions split sensitive and general queries between local chips and hyperscale natural-language engines while Asia-Pacific outpaces North America on the back of vernacular assistants such as China’s DuerOS and India’s Bhashini.

Key Report Takeaways

  • By component, solutions led with 61.27% revenue share in 2025, whereas services are poised to record the fastest 17.22% CAGR through 2031.
  • By technology, speech recognition accounted for 46.63% of the voice assistant application market size in 2025, while edge computing is projected to grow at a 16.88% CAGR to 2031.
  • By deployment, cloud implementations held 59.47% share in 2025; hybrid architectures are expected to expand at a 15.75% CAGR over the forecast period.
  • By enterprise size, large enterprises commanded 61.92% of 2025 revenue, but small and medium enterprises will exhibit a 16.91% CAGR through 2031.
  • By end-use vertical, IT and telecom generated the largest 21.48% share in 2025, whereas healthcare is forecast to advance at a 17.06% CAGR to 2031.
  • By geography, North America led with 36.65% of 2025 revenue, while Asia-Pacific is set to grow at a 18.02% CAGR between 2026 and 2031.

Note: Market size and forecast figures in this report are generated using Mordor Intelligence’s proprietary estimation framework, updated with the latest available data and insights as of January 2026.

Segment Analysis

By Component: Services Surge As Skill Development Demands Expertise

Solutions captured 61.27% of the voice assistant application market share in 2025, yet the services segment is forecast to post a 17.22% CAGR through 2031 as enterprises realize that embedding Alexa, Google Assistant, or Siri into business workflows involves continuous intent-mapping, dialogue-flow tuning, and compliance audits. Professional services encompass custom skill creation for regulated tasks, such as clinical documentation or shop-floor inventory checks, which require domain-specific vocabulary not available in generic marketplaces. Integration projects still span nine months on average, with nearly half the schedule spent labeling intents rather than writing code, which drives demand for outside linguists and conversation designers. Managed-services contracts are growing because they bundle uptime service-level agreements and periodic model retraining, freeing digital-transformation teams from the need to hire scarce conversational-AI engineers. IBM reported that 68% of its Watson Assistant customers in 2025 chose a managed model over self-service APIs, indicating a clear preference to outsource ongoing optimization.

The solutions segment is benefiting from no-code design tools that let non-developers draft flows, yet even these platforms require linguistic expertise to craft prompts and handle slot-filling errors. Vertical specialists, notably in healthcare, now preload vocabularies and HIPAA-compliant workflows, shrinking time-to-value for hospitals deploying ambient voice assistants. Small and medium enterprises gravitate toward predictable monthly service fees rather than variable cloud-API bills, a trend reinforced by white-label offerings that package hosting, monitoring, and analytics. Although automation will compress services margins over time, the complexity of multi-language deployments and the rise of code-switching use cases ensure that human-in-the-loop quality checks remain critical to the voice assistant application market size expansion over the forecast horizon.

Voice Assistant Application Market: Market Share by Component
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By Technology: Edge Computing Enables Privacy-Preserving Voice Assistants

Speech recognition commanded 46.63% of 2025 spending, yet edge computing is projected to advance at a 16.88% CAGR to 2031 as privacy-conscious users push wake-word detection and routine commands onto local silicon. The voice assistant application market size for speech recognition remains foundational because every conversational stack starts with audio-to-text conversion, but on-device neural processors now handle basic tasks under 2 W, trimming latency and cloud fees. Qualcomm’s Snapdragon 8 Gen 3 demonstrated reliable wake-word detection in automotive dashboards without cellular connections, while Apple’s iOS 19 moved 78% of common Siri queries on-device, reducing infrastructure costs by roughly 40%. Text-to-speech has gained momentum from generative models that add emotional inflection, although vendors now watermark synthetic audio to deter deepfake abuse.

Natural language processing still primarily runs in the cloud for complex queries because large language model inference strains mobile hardware; however, quantized variants, such as Llama 3.2 1B, are starting to power lightweight intent classification on smartphones. NVIDIA’s Jetson Orin platform showed 30-frame-per-second command recognition in warehouse tests, bringing hands-free quality inspection to industrial clients. Regulatory pressure for data localization in healthcare and finance, combined with the economics of avoiding per-query cloud charges, underpins the strong outlook for edge nodes within the broader voice assistant application market.

By Deployment: Hybrid Architectures Balance Privacy And Capability

Cloud deployment held 59.47% share in 2025 thanks to hyperscaler elasticity and rapid model updates, yet hybrid architectures are set to grow at a 15.75% CAGR because regulated sectors must segregate sensitive audio. Under a hybrid pattern, wake-word detection and simple commands run locally, while knowledge queries route to hyperscale natural-language engines; Alexa and Siri already follow this split workflow. The voice assistant application market share for on-premise installations is shrinking as vendors retire perpetual licenses, but air-gapped defense networks still require fully local stacks. Forty-seven percent year-over-year query growth on Amazon Alexa Voice Service in 2024 highlighted cloud scale,[3]Amazon Web Services. “Alexa Voice Service: 2024 Re:Invent Highlights.” aws.amazon.com yet 54% of healthcare CIOs surveyed by HIMSS favored hybrids to satisfy HIPAA encryption rules.

Hybrid deployments introduce orchestration overhead; however, control-plane suites from Azure Stack and Google Anthos now offer policy-based routing, which simplifies management. Processing high-volume, low-risk smart-home commands on-device cuts cloud API costs by up to 70%, allowing budgets to cover more sophisticated analytics. Manufacturers in bandwidth-constrained sites also value local inference because it prevents production delays when connectivity is disrupted. These cost and compliance advantages ensure hybrids remain the fastest-growing slice of the voice assistant application market size through 2031.

Voice Assistant Application Market: Market Share by Deployment
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By Enterprise Size: SMEs Adopt White-Label Voice Assistant Platforms

Large enterprises generated 61.92% of 2025 revenue by spreading development costs across multiple use cases, but small and medium enterprises will post a 16.91% CAGR as white-label platforms eliminate up-front engineering barriers. Twilio’s Flex reported that 42% of new seats in 2024 came from SMEs lured by entry pricing near USD 1 per user each month. APIs from RapidAPI and turnkey packages from Weave and Podium embed conversational commerce or appointment scheduling without custom skill coding.

Smaller firms still lack proprietary data to fine-tune intents, so they depend on transfer learning from pre-trained models and on managed-service partners for ongoing optimization. Deloitte found that 67% of SMEs struggled to hire conversational AI talent in 2024, underscoring the staffing gap. Meanwhile, large enterprises retain an advantage in data scale, funneling millions of calls into retraining loops that lift accuracy. Even so, predictable subscription tiers and declining inference costs level the playing field, expanding SME participation in the overall voice assistant application market.

By End-Use Vertical: Healthcare Drives Growth Via Ambient Voice Assistants

IT and telecom led 2025 revenue with a 21.48% voice assistant application market share, using conversational bots for network troubleshooting and subscriber self-service. Healthcare, however, is forecast to deliver the fastest 17.06% CAGR to 2031 as ambient clinical documentation and patient-engagement bots offset physician shortages. Microsoft’s Nuance Dragon Ambient eXperience installed at more than 550 hospitals by 2025 and cut note-taking time 50%, freeing clinicians to see two to three extra patients daily. New reimbursement codes for remote monitoring via voice biomarkers give providers a clear economic rationale to deploy assistants.

Banking, financial services, and insurance rely on voice biometrics that reduce account-takeover losses by up to 40%, while retail and e-commerce experiment with conversational ordering, which boosts average basket values. Automotive OEMs ship assistants that act as proactive concierges, and media platforms report 18% higher consumption per session when users navigate by voice. Education pilots tutoring bots that respect accessibility rules, and factories integrate hands-free quality checks that keep operators’ eyes on the line. With physicians projected to be 86,000 short by 2036, ambient assistants will remain healthcare’s preferred automation lever, anchoring the segment’s leading contribution to future voice assistant application market size gains.

Voice Assistant Application Market: Market Share by End-Use Vertical
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Geography Analysis

North America accounted for 36.65% of the 2025 revenue, giving the region the largest voice assistant application market share. With Amazon Alexa and Google Assistant installed in 40% of households, and Section 508 mandates spurring retrofits across federal contractors, the region's dominance is expected to continue. Venture capital remained plentiful as startups raised USD 2.3 billion in 2024, and anchor customers in financial services and healthcare funded early pilots that are now moving toward full-scale roll-outs. Yet, tier-1 use cases, such as customer service, are approaching saturation, so vendors are pivoting toward niche deployments, including legal transcription, real-estate showings, and field-service diagnostics. Canada mirrors the United States trends, but growth now hinges on bilingual English-French assistants that comply with the Official Languages Act. Mexico is emerging as a near-shore development hub for North American enterprises seeking Spanish voice skills, leveraging its talent pool of more than 650,000 software engineers.

Europe held an estimated 28% share in 2025 as GDPR data-localization rules favored regional providers and the European Accessibility Act of June 2025 mandated voice-enabled e-commerce by 2028.[4]European Commission. “European Accessibility Act 2025.” europa.eu Germany’s automotive giants Volkswagen, BMW, and Mercedes-Benz embed assistants in connected-vehicle platforms, while the United Kingdom’s National Health Service tested ambient clinical assistants in 150 general-practitioner practices. France and Italy focus on smart-home assistants tuned for local dialects, and Spain’s banks deploy voice biometrics in mobile apps to curb fraud. South America is led by Brazil and Argentina, which use Portuguese and Spanish natural-language processing for government and banking, although currency volatility and patchy broadband keep growth in mid-single digits. Chile and Colombia are trialing Spanish code-switching assistants for customer service, aided by regional telecom investments in low-latency fiber routes.

Asia-Pacific is projected to post a 18.02% CAGR through 2031 and drive the largest incremental voice assistant application market size gain, propelled by China’s Baidu DuerOS, Alibaba Tmall Genie, and iFLYTEK Spark ecosystems, India’s 22-language Bhashini platform, and Southeast Asia’s mobile-first adoption curve. Baidu processed over 1 billion queries in 2024 after adding large-language-model capabilities. India’s open-source Bhashini gives 400 million lower-literacy citizens voice access to digital services, while Grab and Gojek weave ordering assistants into super-apps across Indonesia, Singapore, and Vietnam. Japan’s aging population favors elder-care robots powered by voice, with SoftBank’s Pepper deployed in more than 2,000 nursing homes, and South Korea’s Samsung Bixby plus LG ThinQ dominate appliance control. Middle East and Africa remain small today, yet Saudi Arabia’s USD 500 million Vision 2030 budget for voice-enabled citizen services and United Arab Emirates research grants for Arabic dialect models are accelerating double-digit adoption. South Africa pilots voice biometrics that cut call-center fraud 41%, and Nigeria’s mobile-money operators test assistants for low-literacy users, signaling untapped upside once infrastructure matures.

Voice Assistant Application Market CAGR (%), Growth Rate by Region
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Competitive Landscape

The market is moderately fragmented, anchored by hyperscalers that bundle assistants into cloud and device ecosystems and flanked by vertical or regional specialists. Amazon, Google, Apple, and Microsoft leverage platform lock-in, while SoundHound, Voiceflow, and iFLYTEK win on automotive latency, enterprise orchestration, and Mandarin coverage, respectively. Generative AI has commoditized baseline accuracy, so vendors now compete on dialect breadth, sub-300-millisecond latency, edge-inference efficiency, and pre-built skills for vertical compliance. Qualcomm’s Snapdragon edge chips and Apple’s neural engine enable sub-2-watt on-device wake-word detection, positioning hardware to differentiate software ecosystems. OpenAI’s voice mode and Anthropic’s Claude voice push conversational depth into near-human territory, challenging traditional intent-classification stacks.

Strategic moves illustrate rising intensity. In October 2025 Microsoft closed its USD 19.7 billion Nuance healthcare deal to fuse Dragon Medical with Azure AI, aiming for end-to-end electronic health record flows. Amazon Web Services followed in September 2025 with Alexa for Healthcare, a HIPAA-compliant service that scored 95% terminology accuracy in blind tests. Samsung partnered with iFLYTEK in June 2025 to swap Bixby for Mandarin and Cantonese assistants on Galaxy phones sold in China, acknowledging that localized tuning beats generic models. Nuance filed a United States Patent and Trademark Office application in 2024 for a replay-attack detector that analyzes micro-resonance patterns, signaling a shift toward biometric liveness as a moat. The FIDO Alliance is drafting cross-vendor voice-biometric standards, but uptake is limited to tier-1 banks pending clarity on liability sharing.

Consolidation is likely around three tiers: hyperscalers offering horizontal platforms with ubiquitous language support, vertical specialists delivering compliance-ready skills for healthcare or automotive, and open-source coalitions such as Rasa and Mozilla Common Voice that commoditize data and models. White-space opportunities remain in code-switching scenarios such as Spanglish and Hinglish, and in high-noise industrial sites where error rates still exceed acceptable thresholds. Vendors that master edge-cloud orchestration while guaranteeing privacy and dialect parity will capture outsized share as enterprises prioritize latency, compliance, and total cost of ownership over raw word-error rate metrics.

Voice Assistant Application Industry Leaders

  1. Google LLC (Alphabet Inc.)

  2. Amazon Web Services, Inc.

  3. Apple Inc.

  4. Baidu Inc.

  5. Microsoft Corporation

  6. *Disclaimer: Major Players sorted in no particular order
Voice Assistant Application Market Concentration
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Recent Industry Developments

  • December 2025: OpenAI launched Whisper v3 Turbo with integrated assistant mode offering 15% faster inference across 99 languages and announced Zoom and Spotify integrations.
  • November 2025: Google released Gemini 2.0 voice mode to all users after a 50 million-user preview, achieving sub-300 millisecond response times.
  • October 2025: Microsoft completed the USD 19.7 billion Nuance healthcare acquisition and began weaving Dragon Medical into Azure AI clinical workflows.
  • September 2025: Amazon Web Services unveiled Alexa for Healthcare, a HIPAA-ready service boasting 95% medical-term accuracy.
  • August 2025: Baidu earmarked USD 400 million to add 12 Chinese dialects and new smart-home integrations to DuerOS.

Table of Contents for Voice Assistant Application Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Surge in Smart-speaker and Voice-enabled Voice Adoption
    • 4.2.2 Rapid Cost Reduction in Real-time LLM-powered Speech Pipelines
    • 4.2.3 Enterprise Push to Automate Customer- Service and IVR Workflows
    • 4.2.4 Hybrid On-device and Cloud Architectures Unlocking Regulated- Industry Demand
    • 4.2.5 Accessibility Regulations (WCAG 3.0/ADA) Mandating Voice UIs
    • 4.2.6 Conversational Commerce Add-ons Boosting Average Order Value
  • 4.3 Market Restraints
    • 4.3.1 Persistent Privacy and Data-Security Concerns
    • 4.3.2 Accuracy Gaps Across Accents, Dialects and Noisy Settings
    • 4.3.3 Integration Complexity and Specialised Talent Shortages
    • 4.3.4 Rising Deep-fake or Voice-spoofing Threats Tightening Compliance
  • 4.4 Industry Value Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Bargaining Power of Suppliers
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry

5. MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Component
    • 5.1.1 Solutions
    • 5.1.2 Services
  • 5.2 By Technology
    • 5.2.1 Natural Language Processor (NLP)
    • 5.2.2 Speech Recognition
    • 5.2.3 Text-to-Speech Conversion
    • 5.2.4 Edge Computing
  • 5.3 By Deployment
    • 5.3.1 On- Premise
    • 5.3.2 Cloud
    • 5.3.3 Hybrid
  • 5.4 By Enterprise Size
    • 5.4.1 Small and Medium Enterprises (SMEs)
    • 5.4.2 Large Enterprises
  • 5.5 By End-Use Vertical
    • 5.5.1 IT and Telecom
    • 5.5.2 BFSI
    • 5.5.3 Healthcare
    • 5.5.4 Retail and E-commerce
    • 5.5.5 Automotive
    • 5.5.6 Media and Entertainment
    • 5.5.7 Education
    • 5.5.8 Manufacturing
    • 5.5.9 Government and Public Sector
  • 5.6 By Geography
    • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
    • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
    • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
    • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 ASEAN
    • 5.6.4.6 Rest of Asia-Pacific
    • 5.6.5 Middle East
    • 5.6.5.1 Saudi Arabia
    • 5.6.5.2 United Arab Emirates
    • 5.6.5.3 Rest of Middle East
    • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Nigeria
    • 5.6.6.3 Rest of Africa

6. COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market Level Overview, Core Segments, Financials as Available, Strategic Information, Market Rank/Share for Key Companies, Products and Services, and Recent Developments)
    • 6.4.1 Amazon.com Inc. (AWS)
    • 6.4.2 Google LLC (Alphabet Inc.)
    • 6.4.3 Apple Inc.
    • 6.4.4 Microsoft Corporation
    • 6.4.5 Baidu Inc.
    • 6.4.6 IBM Corporation
    • 6.4.7 Nuance Communications Inc.
    • 6.4.8 Samsung Electronics Co., Ltd.
    • 6.4.9 Oracle Corporation
    • 6.4.10 Salesforce Inc.
    • 6.4.11 SoundHound AI, Inc.
    • 6.4.12 iFLYTEK Co., Ltd.
    • 6.4.13 Sensory Inc.
    • 6.4.14 Verint Systems Inc.
    • 6.4.15 Cisco Systems Inc.
    • 6.4.16 Alibaba Group Holding Ltd.
    • 6.4.17 Xiaomi Corporation
    • 6.4.18 Huawei Technologies Co., Ltd.
    • 6.4.19 Yandex LLC
    • 6.4.20 LG Electronics Inc.
    • 6.4.21 Voiceflow Inc.
    • 6.4.22 OpenAI L.L.C.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-Need Assessment
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Global Voice Assistant Application Market Report Scope

The Voice Assistant Application Market Report is Segmented by Component (Solutions, and Services), Technology (Natural Language Processor, Speech Recognition, Text-to-Speech Conversion, and Edge Computing), Deployment (On-Premise, Cloud, and Hybrid), Enterprise Size (Small and Medium Enterprises, and Large Enterprises), End-Use Vertical (IT and Telecom, BFSI, Healthcare, Retail and E-commerce, Automotive, Media and Entertainment, Education, Manufacturing, and Government and Public Sector), and Geography (North America, South America, Europe, Asia-Pacific, and Middle East and Africa). The Market Forecasts are Provided in Terms of Value (USD).

By Component
Solutions
Services
By Technology
Natural Language Processor (NLP)
Speech Recognition
Text-to-Speech Conversion
Edge Computing
By Deployment
On- Premise
Cloud
Hybrid
By Enterprise Size
Small and Medium Enterprises (SMEs)
Large Enterprises
By End-Use Vertical
IT and Telecom
BFSI
Healthcare
Retail and E-commerce
Automotive
Media and Entertainment
Education
Manufacturing
Government and Public Sector
By Geography
North AmericaUnited States
Canada
Mexico
South AmericaBrazil
Argentina
Rest of South America
EuropeGermany
United Kingdom
France
Italy
Spain
Rest of Europe
Asia-PacificChina
Japan
India
South Korea
ASEAN
Rest of Asia-Pacific
Middle EastSaudi Arabia
United Arab Emirates
Rest of Middle East
AfricaSouth Africa
Nigeria
Rest of Africa
By ComponentSolutions
Services
By TechnologyNatural Language Processor (NLP)
Speech Recognition
Text-to-Speech Conversion
Edge Computing
By DeploymentOn- Premise
Cloud
Hybrid
By Enterprise SizeSmall and Medium Enterprises (SMEs)
Large Enterprises
By End-Use VerticalIT and Telecom
BFSI
Healthcare
Retail and E-commerce
Automotive
Media and Entertainment
Education
Manufacturing
Government and Public Sector
By GeographyNorth AmericaUnited States
Canada
Mexico
South AmericaBrazil
Argentina
Rest of South America
EuropeGermany
United Kingdom
France
Italy
Spain
Rest of Europe
Asia-PacificChina
Japan
India
South Korea
ASEAN
Rest of Asia-Pacific
Middle EastSaudi Arabia
United Arab Emirates
Rest of Middle East
AfricaSouth Africa
Nigeria
Rest of Africa
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Key Questions Answered in the Report

How fast is the global voice assistant application market expected to grow through 2031?

Revenue is projected to rise from USD 9.02 billion in 2026 to USD 18.36 billion by 2031, reflecting a 15.27% compound annual growth rate.

What factors are driving enterprise adoption of voice assistants?

Falling inference costs, the push to automate contact centers, and growing smart-speaker penetration are accelerating deployment, while services revenue expands as firms outsource skill development.

Which geography is projected to see the highest growth for voice assistant applications?

Asia-Pacific is forecast to log a 15.12% CAGR through 2031, powered by China’s DuerOS ecosystem, India’s 22-language Bhashini platform, and Southeast Asia’s mobile-first users.

How are hybrid deployments addressing privacy regulations for voice assistants?

Organizations process wake-word detection and simple commands on-device while sending complex queries to the cloud, a split that satisfies HIPAA and GDPR data-residency rules and trims cloud fees up to 70%.

What is the current competitive landscape for voice assistant solutions?

The space is moderately concentrated (score 6) with hyperscalers like Amazon, Google, Apple, and Microsoft holding roughly 60% combined share, while specialists such as SoundHound and iFLYTEK compete on latency, dialect coverage, and vertical skills.

Which end-use vertical is forecast to expand the fastest for voice assistant applications?

Healthcare is set to grow at a 14.06% CAGR as ambient clinical documentation and patient-engagement assistants cut physician paperwork and unlock new reimbursement codes.

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