The AI Voice Agents in Healthcare Market was valued at USD 468.00 million in 2024, and is projected to reach USD 3.17 billion by 2030, rising at a CAGR of 37.79%. Increasing automation of clinical documentation and workflows, a growing focus on patient engagement, patient monitoring, chronic disease management, call center optimization, and frontline triage automation are factors contributing to market growth.
In addition, the ability of AI voice agents to integrate with existing electronic health record (EHR) systems fuels market growth further. AI voice agents' ability to streamline clinical documentation is a significant market driver. AI voice agents built using advanced natural language processing (NLP) and voice recognition models are able to transcribe doctor-patient interactions in real time, automate SOAP note generation, and update electronic medical records (EMRs) with minimal human intervention. In addition, these agents are increasingly integrated into electronic health records (EHRs), enabling physicians to document patient encounters in real-time through voice commands. This shift from manual to automated documentation reduces time spent on data entry and allows clinicians to enhance patient care. This automation is accelerating solution adoption among hospitals and private practices, especially in the developed countries, where compliance with documentation standards is high. For instance, in February 2025, VoiceCare AI launched a pilot program with the Mayo Clinic to automate back-office operations using AI voice agents’ technology.
"With voice AI, the technology has leapfrogged so much that they are very conversational and can handle conversations that are simple and medium complexity. When you're making a transactional call, it has clear inputs and clear outputs. When you call an insurance company, you are verifying somebody's insurance verification, or you're doing prior auth.”
Moreover, AI voice agents are transforming healthcare call centers by reducing reliance on human operators for routine queries. These agents efficiently handle appointment scheduling, prescription refill requests, and pre-visit assessments. For instance, voice agents significantly improve operational KPIs in large healthcare networks and insurance systems, where thousands of calls are managed daily. AI voice agents that offer API-based flexibility and EHR compatibility are in high demand among enterprise health systems and digital health startups. Similarly, payers and insurers leverage these voice tools to provide plan information, claims updates, and wellness coaching.
In addition, voice AI platforms are now embedded into remote patient monitoring (RPM) devices, smart speakers, and mobile applications to support patients in home environments. This integration is beneficial during post-operative recovery, palliative care, and elder care scenarios where consistent monitoring and human-like interaction enhance the patient experience.
Furthermore, AI voice agents are making significant advancements in the field of disease diagnosis by analyzing vocal biomarkers to detect various health conditions. This non-invasive approach leverages subtle changes in speech patterns, pitch, and tone to identify early signs of diseases. Specialized voice agents tailored for conditions such as diabetes, hypertension, and mental health offer disease-specific interactions that guide behavior change and treatment adherence.
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In addition, the ability of AI voice agents to integrate with existing electronic health record (EHR) systems fuels market growth further. AI voice agents' ability to streamline clinical documentation is a significant market driver. AI voice agents built using advanced natural language processing (NLP) and voice recognition models are able to transcribe doctor-patient interactions in real time, automate SOAP note generation, and update electronic medical records (EMRs) with minimal human intervention. In addition, these agents are increasingly integrated into electronic health records (EHRs), enabling physicians to document patient encounters in real-time through voice commands. This shift from manual to automated documentation reduces time spent on data entry and allows clinicians to enhance patient care. This automation is accelerating solution adoption among hospitals and private practices, especially in the developed countries, where compliance with documentation standards is high. For instance, in February 2025, VoiceCare AI launched a pilot program with the Mayo Clinic to automate back-office operations using AI voice agents’ technology.
"With voice AI, the technology has leapfrogged so much that they are very conversational and can handle conversations that are simple and medium complexity. When you're making a transactional call, it has clear inputs and clear outputs. When you call an insurance company, you are verifying somebody's insurance verification, or you're doing prior auth.”
- Parag Jhaveri, founder and CEO of VoiceCare AI
Moreover, AI voice agents are transforming healthcare call centers by reducing reliance on human operators for routine queries. These agents efficiently handle appointment scheduling, prescription refill requests, and pre-visit assessments. For instance, voice agents significantly improve operational KPIs in large healthcare networks and insurance systems, where thousands of calls are managed daily. AI voice agents that offer API-based flexibility and EHR compatibility are in high demand among enterprise health systems and digital health startups. Similarly, payers and insurers leverage these voice tools to provide plan information, claims updates, and wellness coaching.
In addition, voice AI platforms are now embedded into remote patient monitoring (RPM) devices, smart speakers, and mobile applications to support patients in home environments. This integration is beneficial during post-operative recovery, palliative care, and elder care scenarios where consistent monitoring and human-like interaction enhance the patient experience.
Furthermore, AI voice agents are making significant advancements in the field of disease diagnosis by analyzing vocal biomarkers to detect various health conditions. This non-invasive approach leverages subtle changes in speech patterns, pitch, and tone to identify early signs of diseases. Specialized voice agents tailored for conditions such as diabetes, hypertension, and mental health offer disease-specific interactions that guide behavior change and treatment adherence.
AI Voice Agents In Healthcare Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, the analyst has segmented the global AI voice agents in healthcare market report based on application, deployment mode, technology, end use, and region.Application Outlook (Revenue, USD Million, 2018-2030)
- Appointment Scheduling
- Clinical Documentation
- Patient Triage & Symptom Checking
- Patient Engagement
- Remote Monitoring
- Mental Health & Companion Bots
- Billing & Insurance Support
- Others
Deployment Mode Outlook (Revenue, USD Million, 2018-2030)
- On Premise
- Cloud-based
Technology Outlook (Revenue, USD Million, 2018-2030)
- Rule-based Voice Assistants
- NLP-Powered Conversational Agents
- Emotionally Aware AI Agents
- Multilingual Voice Agents
- Others
End Use Outlook (Revenue, USD Million, 2018-2030)
- Hospitals and Health Systems
- Outpatient Clinics and Physician Offices
- Home Healthcare Providers
- Patients
- Payers and Insurance Firms
- Others
Regional Outlook (Revenue, USD Million, 2018-2030)
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Italy
- Spain
- Denmark
- Sweden
- Norway
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Thailand
- Latin America
- Brazil
- Argentina
- MEA
- South Africa
- Saudi Arabia
- UAE
- Kuwait
This report addresses:
- Market intelligence to enable effective decision-making
- Market estimates and forecasts from 2018 to 2030
- Growth opportunities and trend analyses
- Segment and regional revenue forecasts for market assessment
- Competition strategy and market share analysis
- Product innovation listings for you to stay ahead of the curve
Why Should You Buy This Report?
- Comprehensive Market Analysis: Gain detailed insights into the market across major regions and segments.
- Competitive Landscape: Explore the market presence of key players.
- Future Trends: Discover the pivotal trends and drivers shaping the future of the market.
- Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions.
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Table of Contents
Chapter 1. Methodology and Scope
Chapter 2. Executive Summary
Chapter 3. AI Voice Agents in Healthcare Market Variables, Trends & Scope
Chapter 4. AI Voice Agents in Healthcare Market: Application Estimates & Trend Analysis
Chapter 5. AI Voice Agents in Healthcare Market: Deployment Mode Estimates & Trend Analysis
Chapter 6. AI Voice Agents in Healthcare Market: Technology Estimates & Trend Analysis
Chapter 7. AI Voice Agents in Healthcare Market: End Use Estimates & Trend Analysis
Chapter 8. AI Voice Agents in Healthcare Market: Regional Estimates & Trend Analysis
Chapter 9. Competitive Landscape
List of Tables
List of Figures
Companies Mentioned
The major companies featured in this AI Voice Agents in Healthcare market report include:- Zocdoc
- eHealth, Inc.
- Assort Health
- RevSpring
- Innovacer
- Parakeet Health, Inc.
- Cedar Cares, Inc.
- Infinitus Systems
- VOCADS
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 120 |
Published | May 2025 |
Forecast Period | 2024 - 2030 |
Estimated Market Value ( USD | $ 468 Million |
Forecasted Market Value ( USD | $ 3170 Million |
Compound Annual Growth Rate | 37.7% |
Regions Covered | Global |
No. of Companies Mentioned | 11 |