의료용 AI 음성 에이전트 시장 규모, 점유율, 동향 분석 : 용도별, 배포 방식별, 기술별, 최종 용도별, 지역별, 부문별 예측(2025-2030년)

Market Size & Trends:

The global AI voice agents in healthcare market size was estimated at USD 468.00 million in 2024 and is projected to grow at a CAGR of 37.79% from 2025 to 2030. 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."

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, Grand View Research 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

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation & Scope
• 1.2. Market Definitions
  • 1.2.1. Application Segment
  • 1.2.2. Deployment Mode Segment
  • 1.2.3. Technology Segment
  • 1.2.4. End Use
• 1.3. Information analysis
  • 1.3.1. Market formulation & data visualization
• 1.4. Data validation & publishing
• 1.5. Information Procurement
  • 1.5.1. Primary Research
• 1.6. Information or Data Analysis
• 1.7. Market Formulation & Validation
• 1.8. Market Model
• 1.9. Total Market: CAGR Calculation
• 1.10. Objectives
  • 1.10.1. Objective 1
  • 1.10.2. Objective 2

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Snapshot
• 2.3. Competitive Insights Landscape

Chapter 3. AI Voice Agents in Healthcare Market Variables, Trends & Scope

• 3.1. Market Lineage Outlook
  • 3.1.1. Parent market outlook
  • 3.1.2. Related/ancillary market outlook.
• 3.2. Market Dynamics
  • 3.2.1. Market driver analysis
    • 3.2.1.1. Rising demand for personalized healthcare solutions
    • 3.2.1.2. Growing integration of AI in disease diagnostics and rising shift towards preventive care
    • 3.2.1.3. Technological advancements in AI
  • 3.2.2. Market restraint analysis
    • 3.2.2.1. Data Security and privacy concerns
    • 3.2.2.2. High integration costs
  • 3.2.3. Market opportunity analysis
  • 3.2.4. Market challenges analysis
• 3.3. AI Voice Agents in Healthcare Market Analysis Tools
  • 3.3.1. Industry Analysis - Porter's
    • 3.3.1.1. Supplier power
    • 3.3.1.2. Buyer power
    • 3.3.1.3. Substitution threat
    • 3.3.1.4. Threat of new entrant
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Technological landscape
    • 3.3.2.3. Economic landscape
    • 3.3.2.4. Environmental Landscape
    • 3.3.2.5. Legal Landscape
    • 3.3.2.6. Social Landscape
• 3.4. Case Studies

Chapter 4. AI Voice Agents in Healthcare Market: Application Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. Global AI Voice Agents in Healthcare Market Application Movement Analysis
• 4.3. Global AI Voice Agents in Healthcare Market Size & Trend Analysis, by Application, 2018 to 2030 (USD Million)
• 4.4. Appointment Scheduling
  • 4.4.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 4.5. Clinical Documentation
  • 4.5.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 4.6. Patient Triage & Symptom Checking
  • 4.6.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 4.7. Patient Engagement
  • 4.7.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 4.8. Remote Monitoring
  • 4.8.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 4.9. Mental Health & Companion Bots
  • 4.9.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 4.10. Billing & Insurance Support
  • 4.10.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 4.11. Others
  • 4.11.1. Market estimates and forecasts, 2018 to 2030 (USD Million)

Chapter 5. AI Voice Agents in Healthcare Market: Deployment Mode Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. Global AI Voice Agents in Healthcare Market Deployment Mode Movement Analysis
• 5.3. Global AI Voice Agents in Healthcare Market Size & Trend Analysis, by Deployment Mode, 2018 to 2030 (USD Million)
• 5.4. On Premise
  • 5.4.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 5.5. Cloud-based
  • 5.5.1. Market estimates and forecasts, 2018 to 2030 (USD Million)

Chapter 6. AI Voice Agents in Healthcare Market: Technology Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. Global AI Voice Agents in Healthcare Market Technology Movement Analysis
• 6.3. Global AI Voice Agents in Healthcare Market Size & Trend Analysis, by Technology, 2018 to 2030 (USD Million)
• 6.4. Rule-based Voice Assistants
  • 6.4.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 6.5. NLP-Powered Conversational Agents
  • 6.5.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 6.6. Emotionally Aware AI Agents
  • 6.6.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 6.7. Multilingual Voice Agents
  • 6.7.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 6.8. Others
  • 6.8.1. Market estimates and forecasts, 2018 to 2030 (USD Million)

Chapter 7. AI Voice Agents in Healthcare Market: End Use Estimates & Trend Analysis

• 7.1. Segment Dashboard
• 7.2. Global AI Voice Agents in Healthcare Market End Use Movement Analysis
• 7.3. Global AI Voice Agents in Healthcare Market Size & Trend Analysis, by End Use, 2018 to 2030 (USD Million)
• 7.4. Hospitals and Health Systems
  • 7.4.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 7.5. Outpatient Clinics and Physician Offices
  • 7.5.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 7.6. Home Healthcare Providers
  • 7.6.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 7.7. Patients
  • 7.7.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 7.8. Payers and Insurance Firms
  • 7.8.1. Market estimates and forecasts, 2018 to 2030 (USD Million)
• 7.9. Others
  • 7.9.1. Market estimates and forecasts, 2018 to 2030 (USD Million)

Chapter 8. AI Voice Agents in Healthcare Market: Regional Estimates & Trend Analysis

• 8.1. Regional Market Share Analysis, 2024 & 2030
• 8.2. Regional Market Dashboard
• 8.3. Market Size & Forecasts Trend Analysis, 2018 to 2030:
• 8.4. North America
  • 8.4.1. U.S.
    • 8.4.1.1. Key country dynamics
    • 8.4.1.2. Regulatory framework
    • 8.4.1.3. Competitive scenario
    • 8.4.1.4. U.S. market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.4.2. Canada
    • 8.4.2.1. Key country dynamics
    • 8.4.2.2. Regulatory framework
    • 8.4.2.3. Competitive scenario
    • 8.4.2.4. Canada market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.4.3. Mexico
    • 8.4.3.1. Key country dynamics
    • 8.4.3.2. Regulatory framework
    • 8.4.3.3. Competitive scenario
    • 8.4.3.4. Mexico market estimates and forecasts, 2018 to 2030 (USD Million)
• 8.5. Europe
  • 8.5.1. UK
    • 8.5.1.1. Key country dynamics
    • 8.5.1.2. Regulatory framework
    • 8.5.1.3. Competitive scenario
    • 8.5.1.4. UK market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.5.2. Germany
    • 8.5.2.1. Key country dynamics
    • 8.5.2.2. Regulatory framework
    • 8.5.2.3. Competitive scenario
    • 8.5.2.4. Germany market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.5.3. France
    • 8.5.3.1. Key country dynamics
    • 8.5.3.2. Regulatory framework
    • 8.5.3.3. Competitive scenario
    • 8.5.3.4. France market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.5.4. Italy
    • 8.5.4.1. Key country dynamics
    • 8.5.4.2. Regulatory framework
    • 8.5.4.3. Competitive scenario
    • 8.5.4.4. Italy market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.5.5. Spain
    • 8.5.5.1. Key country dynamics
    • 8.5.5.2. Regulatory framework
    • 8.5.5.3. Competitive scenario
    • 8.5.5.4. Spain market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.5.6. Norway
    • 8.5.6.1. Key country dynamics
    • 8.5.6.2. Regulatory framework
    • 8.5.6.3. Competitive scenario
    • 8.5.6.4. Norway market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.5.7. Sweden
    • 8.5.7.1. Key country dynamics
    • 8.5.7.2. Regulatory framework
    • 8.5.7.3. Competitive scenario
    • 8.5.7.4. Sweden market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.5.8. Denmark
    • 8.5.8.1. Key country dynamics
    • 8.5.8.2. Regulatory framework
    • 8.5.8.3. Competitive scenario
    • 8.5.8.4. Denmark market estimates and forecasts, 2018 to 2030 (USD Million)
• 8.6. Asia Pacific
  • 8.6.1. Japan
    • 8.6.1.1. Key country dynamics
    • 8.6.1.2. Regulatory framework
    • 8.6.1.3. Competitive scenario
    • 8.6.1.4. Japan market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.6.2. China
    • 8.6.2.1. Key country dynamics
    • 8.6.2.2. Regulatory framework
    • 8.6.2.3. Competitive scenario
    • 8.6.2.4. China market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.6.3. India
    • 8.6.3.1. Key country dynamics
    • 8.6.3.2. Regulatory framework
    • 8.6.3.3. Competitive scenario
    • 8.6.3.4. India market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.6.4. Australia
    • 8.6.4.1. Key country dynamics
    • 8.6.4.2. Regulatory framework
    • 8.6.4.3. Competitive scenario
    • 8.6.4.4. Australia market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.6.5. South Korea
    • 8.6.5.1. Key country dynamics
    • 8.6.5.2. Regulatory framework
    • 8.6.5.3. Competitive scenario
    • 8.6.5.4. South Korea market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.6.6. Thailand
    • 8.6.6.1. Key country dynamics
    • 8.6.6.2. Regulatory framework
    • 8.6.6.3. Competitive scenario
    • 8.6.6.4. Thailand market estimates and forecasts, 2018 to 2030 (USD Million)
• 8.7. Latin America
  • 8.7.1. Brazil
    • 8.7.1.1. Key country dynamics
    • 8.7.1.2. Regulatory framework
    • 8.7.1.3. Competitive scenario
    • 8.7.1.4. Brazil market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.7.2. Argentina
    • 8.7.2.1. Key country dynamics
    • 8.7.2.2. Regulatory framework
    • 8.7.2.3. Competitive scenario
    • 8.7.2.4. Argentina market estimates and forecasts, 2018 to 2030 (USD Million)
• 8.8. MEA
  • 8.8.1. South Africa
    • 8.8.1.1. Key country dynamics
    • 8.8.1.2. Regulatory framework
    • 8.8.1.3. Competitive scenario
    • 8.8.1.4. South Africa market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.8.2. Saudi Arabia
    • 8.8.2.1. Key country dynamics
    • 8.8.2.2. Regulatory framework
    • 8.8.2.3. Competitive scenario
    • 8.8.2.4. Saudi Arabia market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.8.3. UAE
    • 8.8.3.1. Key country dynamics
    • 8.8.3.2. Regulatory framework
    • 8.8.3.3. Competitive scenario
    • 8.8.3.4. UAE market estimates and forecasts, 2018 to 2030 (USD Million)
  • 8.8.4. Kuwait
    • 8.8.4.1. Key country dynamics
    • 8.8.4.2. Regulatory framework
    • 8.8.4.3. Competitive scenario
    • 8.8.4.4. Kuwait market estimates and forecasts, 2018 to 2030 (USD Million)

Chapter 9. Competitive Landscape

• 9.1. Company/Competition Categorization
• 9.2. Strategy Mapping
• 9.3. Company Market Position Analysis, 2024
• 9.4. Company Profiles/Listing
  • 9.4.1. Zocdoc
    • 9.4.1.1. Company overview
    • 9.4.1.2. Financial performance
    • 9.4.1.3. Technology type benchmarking
    • 9.4.1.4. Strategic initiatives
  • 9.4.2. eHealth, Inc.
    • 9.4.2.1. Company overview
    • 9.4.2.2. Financial performance
    • 9.4.2.3. Technology type benchmarking
    • 9.4.2.4. Strategic initiatives
  • 9.4.3. Assort Health
    • 9.4.3.1. Company overview
    • 9.4.3.2. Financial performance
    • 9.4.3.3. Technology type benchmarking
    • 9.4.3.4. Strategic initiatives
  • 9.4.4. RevSpring
    • 9.4.4.1. Company overview
    • 9.4.4.2. Financial performance
    • 9.4.4.3. Technology type benchmarking
    • 9.4.4.4. Strategic initiatives
  • 9.4.5. Innovacer
    • 9.4.5.1. Company overview
    • 9.4.5.2. Financial performance
    • 9.4.5.3. Technology type benchmarking
    • 9.4.5.4. Strategic initiatives
  • 9.4.6. Parakeet Health, Inc.
    • 9.4.6.1. Company overview
    • 9.4.6.2. Financial performance
    • 9.4.6.3. Technology type benchmarking
    • 9.4.6.4. Strategic initiatives
  • 9.4.7. Cedar Cares, Inc.
    • 9.4.7.1. Company overview
    • 9.4.7.2. Financial performance
    • 9.4.7.3. Technology type benchmarking
    • 9.4.7.4. Strategic initiatives
  • 9.4.8. Infinitus Systems
    • 9.4.8.1. Company overview
    • 9.4.8.2. Financial performance
    • 9.4.8.3. Technology type benchmarking
    • 9.4.8.4. Strategic initiatives
  • 9.4.9. VOCADS
    • 9.4.9.1. Company overview
    • 9.4.9.2. Financial performance
    • 9.4.9.3. Technology type benchmarking
    • 9.4.9.4. Strategic initiatives
  • 9.4.10. In Touch Now
    • 9.4.10.1. Company overview
    • 9.4.10.2. Financial performance
    • 9.4.10.3. Technology type benchmarking
    • 9.4.10.4. Strategic initiatives