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市场调查报告书
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1856950

全球医疗保健领域人工智慧语音代理市场：预测至 2032 年—按技术、部署方式、应用、最终用户和地区分類的分析

AI Voice Agents in Healthcare Market Forecasts to 2032 - Global Analysis By Technology, Deployment Modes, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2025 年，全球医疗保健 AI 语音代理市场规模将达到 6.537 亿美元，到 2032 年将达到 67.892 亿美元，预测期内复合年增长率为 39.7%。

医疗保健人工智慧语音助理是具备语音功能的智慧系统，旨在透过自然语言与患者和医疗保健专业人员互动。它们利用人工智慧、自然语言处理 (NLP) 和机器学习技术来理解、解释和回应语音命令和查询。这些助理可以协助完成预约安排、病患分诊、用药提醒、症状检查和远端监测等任务。透过自动化日常沟通并提供即时支持，人工智慧语音助理可以提高病人参与、提升营运效率并减轻医疗保健环境中的行政负担。

改善就医途径与病人参与

医院正在利用语音介面简化预约流程，减轻行政负担。残疾患者和数位素养较低的患者能够从简化的沟通工具中受益。与护理协调平台的整合提高了服务的连续性和反应速度。语音助理透过对话式问候和提醒，为慢性病照护和心理健康计画提供支援。这些功能有助于促进不同族群的参与。

临床安全与责任风险

语音系统可能会误解症状和药物名称，导致记录不准确。缺乏可解释性会使临床工作流程中的检验和监控变得复杂。医疗服务提供者在遵守安全标准和预防医疗错误方面面临挑战。与诊断系统的整合需要严格的测试和管治。这些风险持续限制语音系统在关键环境中的应用。

自然语言理解的进展

模型正在改善医病互动中的上下文识别和情绪检测。语音代理现在可以处理多会话对话并提取结构化资料。与决策支援系统的整合实现了即时分诊和文件记录。供应商正在推出针对特定领域、针对临床语言和工作流程进行最佳化的模型。这些创新正在推动医疗服务中各种应用情境的实现。

使用者信任与采纳的障碍

由于隐私方面的顾虑，患者可能不愿与自动化系统共用敏感资讯。临床医师常常质疑语音产生的摘要的准确性和有效性。缺乏培训和变革管理会延缓该系统在临床实务中的应用。口音或情绪状态导致的表现不稳定会降低使用者体验和可信度。这些挑战阻碍了该系统的持续应用和整合。

新冠疫情的影响：

疫情加速了人们对人工智慧语音助理的关注，因为医疗系统面临着激增的需求和有限的人员运转率。在封锁期间，语音介面被部署用于管理症状筛检、疫苗接种安排和远端监测。医疗机构利用语音助理与患者保持沟通，并减轻客服中心的负担。随着非接触式解决方案变得至关重要，大众对语音技术的接受度也随之提升。疫情后的策略已将语音助理纳入数位化韧性和混合医疗模式。这种转变正在加速对话式医疗基础设施的长期投资。

预计在预测期内，自然语言处理（NLP）将成为最大的细分市场。

自然语言处理 (NLP) 领域预计将在预测期内占据最大的市场份额，因为它在实现准确且上下文相关的语音互动方面发挥着至关重要的作用。 NLP 模型能够有效地支持患者与医护人员对话的转录、意图识别和情绪分析。与临床记录系统的整合正在提高录音的速度和准确性。供应商提供专为医疗保健行业量身定制的 NLP 引擎，这些引擎符合 HIPAA 和其他数据标准。全球市场对多语言支援和情感感知功能的需求日益增长。这些进步正在巩固 NLP 在语音主导医疗保健应用中的主导地位。

预计在预测期内，远端医疗提供者细分市场将以最高的复合年增长率成长。

预计在预测期内，远端医疗提供者领域将实现最高成长率，因为虚拟医疗平台正在采用语音助理来提升患者体验和营运效率。语音介面支援视讯和电话咨询期间的患者登记、分诊和后续跟进。医疗服务提供者正在将语音助理整合到行动应用程式和智慧设备中，以将医疗服务延伸到临床环境之外。在心理健康、慢性病管理和远距离诊断等领域，对可扩展、低成本的互动工具的需求正在不断增长。远端医疗公司与人工智慧供应商之间的伙伴关係正在加速部署和创新。

比最大的地区

在预测期内，北美预计将占据最大的市场份额，这主要得益于其先进的医疗基础设施、人工智慧投资以及监管机构的积极参与。美国的医院、保险公司和数位医疗新兴企业对语音助理的采用率正在不断提高。对云端平台、自然语言处理引擎和符合HIPAA标准的语音工具的投资正在推动这一趋势。领先的对话式人工智慧供应商和学术研究中心的存在正在促进创新。法律规范也不断完善，以支持在临床环境中负责任地使用语音技术。

复合年增长率最高的地区：

预计亚太地区在预测期内将呈现最高的复合年增长率，这主要得益于行动普及、医疗数位化和人工智慧创新三者融合的推动。印度、中国和韩国等国家正在公共卫生、保险和远端医疗平台部署语音助理。本土新兴企业正在推出针对区域语言和医疗模式客製化的多语言语音工具。政府支持的计画正在推动人工智慧在农村医疗和基层医疗中的应用。都市区和医疗服务不足的人口对可扩展、低成本自动化解决方案的需求日益增长。

免费客製化服务：

免费客製化服务

订阅本报告的用户可从以下免费自订选项中选择一项：

  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争基准化分析
    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

5. 全球医疗保健人工智慧语音代理市场（按技术划分）

  • 自然语言处理（NLP）
  • 语音辨识与合成
  • 对话式人工智慧与对话管理
  • 情感感知语音介面
  • 多语言语音代理
  • 其他技术

6. 全球医疗保健人工智慧语音代理市场以部署方式划分

  • 云端基础的
  • 本地部署
  • 杂交种

7. 全球医疗保健人工智慧语音代理市场（按应用划分）

  • 药物依从性和追踪
  • 保险核实和理赔支持
  • 心理健康和福祉支持
  • 慢性病监测
  • 健康教育和常见问题解答
  • 其他应用

8. 全球医疗保健人工智慧语音代理市场（按最终用户划分）

  • 医院和诊所
  • 远端医疗提供者
  • 健康保险公司
  • 製药和生命科学公司
  • 心理健康平台
  • 居家医疗服务
  • 政府和公共卫生机构
  • 其他最终用户

9. 全球医疗保健人工智慧语音代理市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十一章 公司简介

  • Suki AI, Inc.
  • Corti.ai ApS
  • Hippocratic AI, Inc.
  • Nuance Communications, Inc.
  • Notable Health, Inc.
  • Orbita, Inc.
  • Sensely Corporation
  • Saykara, Inc.
  • Lifelink Systems, Inc.
  • Botco.ai, Inc.
  • Voiceitt Ltd.
  • SoundHound AI, Inc.
  • Hyro, Inc.
  • DeepScribe, Inc.
  • Augmedix, Inc.
Product Code: SMRC31814

According to Stratistics MRC, the Global AI Voice Agents in Healthcare Market is accounted for $653.7 million in 2025 and is expected to reach $6789.2 million by 2032 growing at a CAGR of 39.7% during the forecast period. AI voice agents in healthcare are intelligent, speech-enabled systems designed to interact with patients and healthcare professionals using natural language. They utilize artificial intelligence, natural language processing (NLP), and machine learning to understand, interpret, and respond to voice commands or queries. These agents assist in tasks such as appointment scheduling, patient triage, medication reminders, symptom checking, and remote monitoring. By automating routine communications and providing real-time support, AI voice agents enhance patient engagement, improve operational efficiency, and reduce administrative burdens within healthcare settings.

Market Dynamics:

Driver:

Improved access & patient engagement

Hospitals are using voice interfaces to streamline appointment scheduling and reduce administrative burden. Patients with disabilities or low digital literacy are benefiting from simplified communication tools. Integration with care coordination platforms is improving continuity and responsiveness. Voice agents are supporting chronic care and mental health programs through conversational check-ins and reminders. These capabilities are propelling inclusive engagement across diverse populations.

Restraint:

Clinical safety & liability risk

Voice systems may misinterpret symptoms or medication names which can lead to inaccurate documentation. Lack of explainability complicates validation and oversight across clinical workflows. Providers face challenges in ensuring compliance with safety standards and malpractice protection. Integration with diagnostic systems requires rigorous testing and governance. These risks continue to constrain adoption in high-stakes settings.

Opportunity:

Advances in natural language understanding

Models are improving contextual awareness and sentiment detection across patient interactions. Voice agents are now capable of handling multi-turn conversations and extracting structured data. Integration with decision support systems is enabling real-time triage and documentation. Vendors are launching domain-specific models tuned to clinical language and workflows. These innovations are fostering broader use cases across care delivery.

Threat:

User trust and adoption barriers

Patients may hesitate to share sensitive information with automated systems due to privacy concerns. Clinicians often question the accuracy and relevance of voice-generated summaries. Lack of training and change management slows frontline acceptance and usage. Inconsistent performance across accents and emotional states can degrade experience and reliability. These challenges continue to hamper sustained engagement and operational integration.

Covid-19 Impact:

The pandemic accelerated interest in AI voice agents as healthcare systems faced surging demand and limited staff availability. Voice interfaces were deployed to manage symptom screening, vaccine scheduling, and remote monitoring during lockdowns. Providers used voice agents to maintain patient communication and reduce call center burden. Public comfort with voice technology increased as contactless solutions became essential. Post-pandemic strategies now include voice agents as part of digital resilience and hybrid care models. These shifts are accelerating long-term investment in conversational healthcare infrastructure.

The natural language processing (NLP) segment is expected to be the largest during the forecast period

The natural language processing (NLP) segment is expected to account for the largest market share during the forecast period due to its foundational role in enabling accurate, context-aware voice interactions. NLP models are powering transcription, intent recognition, and sentiment analysis across patient and provider conversations. Integration with clinical documentation systems is improving speed and accuracy of recordkeeping. Vendors are offering healthcare-tuned NLP engines that comply with HIPAA and other data standards. Demand for multilingual and emotion-sensitive capabilities is rising across global markets. These advancements are boosting NLP's dominance in voice-driven healthcare applications.

The telehealth providers segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the telehealth providers segment is predicted to witness the highest growth rate as virtual care platforms adopt voice agents to enhance patient experience and operational efficiency. Voice interfaces are supporting intake, triage, and follow-up across video and phone consultations. Providers are embedding voice agents into mobile apps and smart devices to extend care beyond clinical settings. Demand for scalable, low-cost engagement tools is rising across mental health, chronic care, and remote diagnostics. Partnerships between telehealth firms and AI vendors are accelerating deployment and innovation.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its advanced healthcare infrastructure, AI investment, and regulatory engagement. The United States is scaling voice agent deployment across hospitals, insurers, and digital health startups. Investment in cloud platforms, NLP engines, and HIPAA-compliant voice tools is driving adoption. Presence of leading conversational AI vendors and academic research centers is reinforcing innovation. Regulatory frameworks are evolving to support responsible use of voice technology in clinical settings.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR as mobile penetration, healthcare digitization, and AI innovation converge. Countries like India, China, and South Korea are deploying voice agents across public health, insurance, and telemedicine platforms. Local startups are launching multilingual voice tools tailored to regional languages and care models. Government-backed programs are supporting AI integration in rural health and primary care. Demand for scalable, low-cost automation is rising across urban and underserved populations.

Key players in the market

Some of the key players in AI Voice Agents in Healthcare Market include Suki AI, Inc., Corti.ai ApS, Hippocratic AI, Inc., Nuance Communications, Inc. (a Microsoft company), Notable Health, Inc., Orbita, Inc., Sensely Corporation, Saykara, Inc., Lifelink Systems, Inc., Botco.ai, Inc., Voiceitt Ltd., SoundHound AI, Inc., Hyro, Inc., DeepScribe, Inc. and Augmedix, Inc.

Key Developments:

In February 2025, Corti launched three specialized AI models-Solo, Ensemble, and Symphony-designed to improve reliability and reduce pilot paralysis in clinical deployments. These models address integration and cost barriers, helping healthcare providers adopt voice AI with higher accuracy and lower friction.

In January 2025, Suki accepted a strategic investment from Zoom Ventures and deepened a partnership to integrate Suki's AI-generated clinical note functionality into Zoom's clinical workflow and telehealth offerings, enabling voice-driven notes inside Zoom Healthcare experiences.

Technologies Covered:

  • Natural Language Processing (NLP)
  • Speech Recognition & Synthesis
  • Conversational AI & Dialogue Management
  • Emotion-Aware Voice Interfaces
  • Multilingual Voice Agents
  • Other Technologies

Deployment Modes Covered:

  • Cloud-Based
  • On-Premise
  • Hybrid

Applications Covered:

  • Medication Adherence & Follow-Up
  • Insurance Verification & Claims Support
  • Mental Health & Wellness Assistance
  • Chronic Disease Monitoring
  • Health Education & FAQs
  • Other Applications

End Users Covered:

  • Hospitals & Clinics
  • Telehealth Providers
  • Health Insurance Companies
  • Pharmaceutical & Life Sciences Firms
  • Mental Health Platforms
  • Home Healthcare Services
  • Government & Public Health Agencies
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Voice Agents in Healthcare Market, By Technology

  • 5.1 Introduction
  • 5.2 Natural Language Processing (NLP)
  • 5.3 Speech Recognition & Synthesis
  • 5.4 Conversational AI & Dialogue Management
  • 5.5 Emotion-Aware Voice Interfaces
  • 5.6 Multilingual Voice Agents
  • 5.7 Other Technologies

6 Global AI Voice Agents in Healthcare Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premise
  • 6.4 Hybrid

7 Global AI Voice Agents in Healthcare Market, By Application

  • 7.1 Introduction
  • 7.2 Medication Adherence & Follow-Up
  • 7.3 Insurance Verification & Claims Support
  • 7.4 Mental Health & Wellness Assistance
  • 7.5 Chronic Disease Monitoring
  • 7.6 Health Education & FAQs
  • 7.7 Other Applications

8 Global AI Voice Agents in Healthcare Market, By End User

  • 8.1 Introduction
  • 8.2 Hospitals & Clinics
  • 8.3 Telehealth Providers
  • 8.4 Health Insurance Companies
  • 8.5 Pharmaceutical & Life Sciences Firms
  • 8.6 Mental Health Platforms
  • 8.7 Home Healthcare Services
  • 8.8 Government & Public Health Agencies
  • 8.9 Other End Users

9 Global AI Voice Agents in Healthcare Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Suki AI, Inc.
  • 11.2 Corti.ai ApS
  • 11.3 Hippocratic AI, Inc.
  • 11.4 Nuance Communications, Inc.
  • 11.5 Notable Health, Inc.
  • 11.6 Orbita, Inc.
  • 11.7 Sensely Corporation
  • 11.8 Saykara, Inc.
  • 11.9 Lifelink Systems, Inc.
  • 11.10 Botco.ai, Inc.
  • 11.11 Voiceitt Ltd.
  • 11.12 SoundHound AI, Inc.
  • 11.13 Hyro, Inc.
  • 11.14 DeepScribe, Inc.
  • 11.15 Augmedix, Inc.

List of Tables

  • Table 1 Global AI Voice Agents in Healthcare Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI Voice Agents in Healthcare Market Outlook, By Technology (2024-2032) ($MN)
  • Table 3 Global AI Voice Agents in Healthcare Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 4 Global AI Voice Agents in Healthcare Market Outlook, By Speech Recognition & Synthesis (2024-2032) ($MN)
  • Table 5 Global AI Voice Agents in Healthcare Market Outlook, By Conversational AI & Dialogue Management (2024-2032) ($MN)
  • Table 6 Global AI Voice Agents in Healthcare Market Outlook, By Emotion-Aware Voice Interfaces (2024-2032) ($MN)
  • Table 7 Global AI Voice Agents in Healthcare Market Outlook, By Multilingual Voice Agents (2024-2032) ($MN)
  • Table 8 Global AI Voice Agents in Healthcare Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 9 Global AI Voice Agents in Healthcare Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 10 Global AI Voice Agents in Healthcare Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 11 Global AI Voice Agents in Healthcare Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 12 Global AI Voice Agents in Healthcare Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 13 Global AI Voice Agents in Healthcare Market Outlook, By Application (2024-2032) ($MN)
  • Table 14 Global AI Voice Agents in Healthcare Market Outlook, By Medication Adherence & Follow-Up (2024-2032) ($MN)
  • Table 15 Global AI Voice Agents in Healthcare Market Outlook, By Insurance Verification & Claims Support (2024-2032) ($MN)
  • Table 16 Global AI Voice Agents in Healthcare Market Outlook, By Mental Health & Wellness Assistance (2024-2032) ($MN)
  • Table 17 Global AI Voice Agents in Healthcare Market Outlook, By Chronic Disease Monitoring (2024-2032) ($MN)
  • Table 18 Global AI Voice Agents in Healthcare Market Outlook, By Health Education & FAQs (2024-2032) ($MN)
  • Table 19 Global AI Voice Agents in Healthcare Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 20 Global AI Voice Agents in Healthcare Market Outlook, By End User (2024-2032) ($MN)
  • Table 21 Global AI Voice Agents in Healthcare Market Outlook, By Hospitals & Clinics (2024-2032) ($MN)
  • Table 22 Global AI Voice Agents in Healthcare Market Outlook, By Telehealth Providers (2024-2032) ($MN)
  • Table 23 Global AI Voice Agents in Healthcare Market Outlook, By Health Insurance Companies (2024-2032) ($MN)
  • Table 24 Global AI Voice Agents in Healthcare Market Outlook, By Pharmaceutical & Life Sciences Firms (2024-2032) ($MN)
  • Table 25 Global AI Voice Agents in Healthcare Market Outlook, By Mental Health Platforms (2024-2032) ($MN)
  • Table 26 Global AI Voice Agents in Healthcare Market Outlook, By Home Healthcare Services (2024-2032) ($MN)
  • Table 27 Global AI Voice Agents in Healthcare Market Outlook, By Government & Public Health Agencies (2024-2032) ($MN)
  • Table 28 Global AI Voice Agents in Healthcare Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.