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1856950

全球醫療保健領域人工智慧語音代理市場：預測至 2032 年—按技術、部署方式、應用、最終用戶和地區分類的分析

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個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2025 年，全球醫療保健 AI 語音代理市場規模將達到 6.537 億美元，到 2032 年將達到 67.892 億美元，預測期內複合年成長率為 39.7%。

醫療保健人工智慧語音助理是具備語音功能的智慧系統，旨在透過自然語言與患者和醫療保健專業人員互動。它們利用人工智慧、自然語言處理 (NLP) 和機器學習技術來理解、解釋和回應語音命令和查詢。這些助理可以協助完成預約安排、病患分診、用藥提醒、症狀檢查和遠端監測等任務。透過自動化日常溝通並提供即時支持，人工智慧語音助理可以提高病人參與、提升營運效率並減輕醫療保健環境中的行政負擔。

改善就醫途徑與病人參與

醫院正在利用語音介面簡化預約流程，減輕行政負擔。殘疾患者和數位素養較低的患者能夠從簡化的溝通工具中受益。與護理協調平台的整合提高了服務的連續性和反應速度。語音助理透過對話式問候和提醒，為慢性病照護和心理健康計畫提供支援。這些功能有助於促進不同族群的參與。

臨床安全與責任風險

語音系統可能會誤解症狀和藥物名稱，導致記錄不準確。缺乏可解釋性會使臨床工作流程中的檢驗和監控變得複雜。醫療服務提供者在遵守安全標準和預防醫療錯誤方面面臨挑戰。與診斷系統的整合需要嚴格的測試和管治。這些風險持續限制語音系統在關鍵環境中的應用。

自然語言理解的進展

模型正在改善醫病互動中的上下文識別和情緒檢測。語音代理現在可以處理多會話對話並提取結構化資料。與決策支援系統的整合實現了即時分診和文件記錄。供應商正在推出針對特定領域、針對臨床語言和工作流程進行最佳化的模型。這些創新正在推動醫療服務中各種應用情境的實現。

使用者信任與採納的障礙

由於隱私方面的顧慮，患者可能不願與自動化系統共用敏感資訊。臨床醫師常常質疑語音產生的摘要的準確性和有效性。缺乏培訓和變革管理會延緩該系統在臨床實務中的應用。口音或情緒狀態導致的表現不穩定會降低使用者體驗和可信度。這些挑戰阻礙了該系統的持續應用和整合。

新冠疫情的影響：

疫情加速了人們對人工智慧語音助理的關注，因為醫療系統面臨著激增的需求和有限的人員運轉率。在封鎖期間，語音介面被部署用於管理症狀篩檢、疫苗接種安排和遠端監測。醫療機構利用語音助理與患者保持溝通，並減輕客服中心的負擔。隨著非接觸式解決方案變得至關重要，大眾對語音技術的接受度也隨之提升。疫情後的策略已將語音助理納入數位化韌性和混合醫療模式。這種轉變正在加速對話式醫療基礎設施的長期投資。

預計在預測期內，自然語言處理（NLP）將成為最大的細分市場。

自然語言處理 (NLP) 領域預計將在預測期內佔據最大的市場佔有率，因為它在實現準確且上下文相關的語音互動方面發揮著至關重要的作用。 NLP 模型能夠有效地支持患者與醫護人員對話的轉錄、意圖識別和情緒分析。與臨床記錄系統的整合正在提高錄音的速度和準確性。供應商提供專為醫療保健行業量身定做的 NLP 引擎，這些引擎符合 HIPAA 和其他數據標準。全球市場對多語言支援和情感感知功能的需求日益成長。這些進步正在鞏固 NLP 在語音主導醫療保健應用中的主導地位。

預計在預測期內，遠端醫療提供者細分市場將以最高的複合年成長率成長。

預計在預測期內，遠端醫療提供者領域將實現最高成長率，因為虛擬醫療平台正在採用語音助理來提升患者體驗和營運效率。語音介面支援視訊和電話諮詢期間的患者登記、分診和後續跟進。醫療服務提供者正在將語音助理整合到行動應用程式和智慧設備中，以將醫療服務延伸到臨床環境之外。在心理健康、慢性病管理和遠距離診斷等領域，對可擴展、低成本的互動工具的需求正在不斷成長。遠端醫療公司與人工智慧供應商之間的夥伴關係正在加速部署和創新。

比最大的地區

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其先進的醫療基礎設施、人工智慧投資以及監管機構的積極參與。美國的醫院、保險公司和數位醫療新興企業對語音助理的採用率正在不斷提高。對雲端平台、自然語言處理引擎和符合HIPAA標準的語音工具的投資正在推動這一趨勢。領先的對話式人工智慧供應商和學術研究中心的存在正在促進創新。法律規範也不斷完善，以支持在臨床環境中負責任地使用語音技術。

複合年成長率最高的地區：

預計亞太地區在預測期內將呈現最高的複合年成長率，這主要得益於行動普及、醫療數位化和人工智慧創新三者融合的推動。印度、中國和韓國等國家正在公共衛生、保險和遠端醫療平台部署語音助理。本土新興企業正在推出針對區域語言和醫療模式客製化的多語言語音工具。政府支持的計畫正在推動人工智慧在農村醫療和基層醫療中的應用。都市區和醫療服務不足的人口對可擴展、低成本自動化解決方案的需求日益成長。

免費客製化服務：

免費客製化服務

訂閱本報告的用戶可從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他公司進行全面分析
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  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
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    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球醫療保健人工智慧語音代理市場（按技術分類）

  • 自然語言處理（NLP）
  • 語音辨識與合成
  • 對話式人工智慧與對話管理
  • 情感感知語音介面
  • 多語言語音代理
  • 其他技術

6. 全球醫療保健人工智慧語音代理市場以部署方式分類

  • 雲端基礎的
  • 本地部署
  • 混合

7. 全球醫療保健人工智慧語音代理市場（按應用分類）

  • 藥物依從性和追蹤
  • 保險核實和理賠支持
  • 心理健康和福祉支持
  • 慢性病監測
  • 健康教育和常見問題解答
  • 其他應用

8. 全球醫療保健人工智慧語音代理市場（按最終用戶分類）

  • 醫院和診所
  • 遠端醫療提供者
  • 健康保險公司
  • 製藥和生命科學公司
  • 心理健康平台
  • 居家醫療服務
  • 政府和公共衛生機構
  • 其他最終用戶

9. 全球醫療保健人工智慧語音代理市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第11章 公司簡介

  • 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.