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市场调查报告书
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1856951

全球医疗保健对话式人工智慧市场：预测至 2032 年—按技术、应用、最终用户和地区分類的分析

Conversational AI in Healthcare Market Forecasts to 2032 - Global Analysis By Technology, 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，全球医疗保健对话式人工智慧市场规模将达到 174 亿美元，到 2032 年将达到 929 亿美元，预测期内复合年增长率为 27.02%。

医疗保健领域的对话式人工智慧是指利用先进的人工智慧技术，包括自然语言处理 (NLP) 和机器学习，实现患者、医疗服务提供者和医疗系统之间类似人类的互动。它为虚拟助理、聊天机器人和语音平台提供支持，用于提供个人化的医疗资讯、症状检查、预约安排、用药提醒和病人参与。透过自动化日常任务和促进即时沟通，对话式人工智慧可以提高效率、改善患者体验、减轻行政负担并支援临床决策，同时保障隐私并遵守医疗保健法规。

远端医疗和远距照护的需求不断增长

医疗机构正在部署聊天机器人和语音助理来管理分诊、预约安排和就诊后追踪。这些工具有助于减轻客服中心的负担，并改善服务不足地区患者的就医体验。与电子病历和护理协调平台的整合提高了服务的连续性和反应速度。对话式人工智慧也透过自动签到和症状追踪来支持心理健康和慢性病护理计画。这些功能正在推动虚拟医疗模式的可扩展应用。

对临床安全性和准确性的担忧

人工智慧系统可能误解症状和患者意图，导致错误的指导和记录。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。这些风险持续限制人工智慧系统在关键环境中的应用。

病人参与和可近性目标

聊天机器人和语音助理正在改善残障人士、语言障碍者和数位素养较低的患者的沟通体验。人工智慧工具能够透过行动和网路管道提供全天候支援和个人化教育。与护理计划和用药提醒的整合正在提高患者的依从性和满意度。医疗服务提供者正在利用对话式人工智慧将护理从临床环境延伸到日常生活中。这些创新促进了全面、主动的医疗保健服务。

监管责任和报销的不确定性

不同司法管辖区在资料隐私、临床检验和责任归属方面的政策各不相同。缺乏针对主导互动的报销框架会降低服务提供者的财务生存能力。不断变化的合规标准可能会扰乱实施进度和供应商选择。围绕人工智慧生成建议的法律模糊性使风险管理变得复杂。这些挑战阻碍了协调一致的市场扩张。

新冠疫情的影响：

疫情加速了人们对对话式人工智慧的兴趣，因为医疗系统面临激增的需求和有限的人员运转率。在封锁期间，人工智慧工具被部署用于管理症状筛检、疫苗接种安排和远端监测。医疗机构使用聊天机器人和语音助理与患者保持沟通，并减轻行政负担。随着非接触式解决方案变得至关重要，民众对数位健康工具的接受度也随之提高。疫情后的策略开始将对话式人工智慧纳入混合医疗和数位化韧性计画。这种转变正在加速对人工智慧驱动的互动方式的长期投资。

预计在预测期内，机器学习（ML）细分市场将成为最大的细分市场。

预计在预测期内，机器学习 (ML) 领域将占据最大的市场份额，因为它在实现自适应和情境感知对话系统中发挥着至关重要的作用。机器学习模型为患者互动中的意图识别、情绪分析和即时回应生成提供支援。与临床资料库和决策支援工具的整合正在提高相关性和准确性。供应商正在遵守监管标准，并提供专为医疗保健领域优化的机器学习引擎。全球市场对多语言和情感感知系统的需求正在不断增长。

预计在预测期内，製药和药物研发领域将实现最高的复合年增长率。

预计在预测期内，製药和药物研发领域将迎来最高成长率，因为生命科学公司正在采用对话式人工智慧来简化试验流程并提高病人参与。人工智慧工具正在支援临床试验中的招募、合格筛选和方案教育。聊天机器人有助于即时监测依从性并收集患者报告的结果。与电子资料采集系统的整合提高了试验的透明度和合规性。申办方正在利用对话式人工智慧来降低脱落率并提高受试者的多样性。

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方面的积极参与。在美国，对话式人工智慧正在医院、保险公司和数位医疗新兴企业中迅速普及。对云端平台、自然语言处理引擎和符合HIPAA标准的工具的投资正在推动其应用。主要人工智慧供应商和学术研究中心的存在也增强了创新能力。法律规范也不断完善，以支持在临床环境中负责任地使用对话式系统。

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对话式人工智慧。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工具。政府支持的计画正在推动人工智慧融入农村医疗和基层医疗。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。

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  • 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. 全球医疗保健对话式人工智慧市场（按技术划分）

  • 自然语言处理（NLP）
  • 机器学习（ML）
  • 语音辨识
  • 语音生成
  • 情境感知引擎
  • 其他技术

6. 全球医疗保健对话式人工智慧市场（按应用领域划分）

  • 病人参与支持
    • 预订时间表
    • 服药提醒
    • 症状确认
  • 临床工作流程自动化
    • 分诊及接待
    • 文件支援
  • 医疗记录挖掘
  • 医学影像分析
  • 紧急援助
  • 心理健康支持
  • 远端医疗和监测
  • 药物研发
    • 临床实验招募
    • 不利事件报告

7. 全球医疗保健对话式人工智慧市场（按最终用户划分）

  • 医院和诊所
  • 製药公司
  • 健康保险公司
  • 远端医疗平台
  • 病人/消费者
  • 政府和公共卫生机构
  • 其他最终用户

8. 全球医疗保健对话式人工智慧市场（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

第九章：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

第十章：公司简介

  • Nuance Communications, Inc.
  • Suki AI, Inc.
  • Notable Health, Inc.
  • Corti.ai ApS
  • Hippocratic AI, Inc.
  • Sensely Corporation
  • Orbita, Inc.
  • Lifelink Systems, Inc.
  • Botco.ai, Inc.
  • Hyro, Inc.
  • Saykara, Inc.
  • DeepScribe, Inc.
  • Augmedix, Inc.
  • K Health, Inc.
  • Infermedica Sp. z oo
Product Code: SMRC31815

According to Stratistics MRC, the Global Conversational AI in Healthcare Market is accounted for $17.4 billion in 2025 and is expected to reach $92.9 billion by 2032 growing at a CAGR of 27.02% during the forecast period. Conversational AI in healthcare refers to the use of advanced artificial intelligence technologies, including natural language processing (NLP) and machine learning, to enable human-like interactions between patients, providers, and healthcare systems. It powers virtual assistants, chatbots, and voice-enabled platforms to provide personalized medical information, symptom checking, appointment scheduling, medication reminders, and patient engagement. By automating routine tasks and facilitating real-time communication, conversational AI improves efficiency, enhances patient experience, reduces administrative burden, and supports clinical decision-making while maintaining privacy and compliance with healthcare regulations.

Market Dynamics:

Driver:

Rising telehealth and remote care demand

Providers are deploying chatbots and voice agents to manage triage, appointment scheduling and post-visit follow-ups. These tools are helping reduce call center burden and improve access for patients in underserved regions. Integration with EHRs and care coordination platforms is enhancing continuity and responsiveness. Conversational AI is also supporting mental health and chronic care programs through automated check-ins and symptom tracking. These capabilities are propelling scalable engagement across virtual care models.

Restraint:

Clinical safety & accuracy concerns

AI systems may misinterpret symptoms or patient intent which can lead to incorrect guidance or 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:

Patient engagement & accessibility goals

Chatbots and voice agents are improving communication for patients with disabilities, language barriers or low digital literacy. AI tools are enabling 24/7 support and personalized education across mobile and web channels. Integration with care plans and medication reminders is enhancing adherence and satisfaction. Providers are using conversational AI to extend care beyond clinical settings and into daily routines. These innovations are fostering inclusive and proactive healthcare delivery.

Threat:

Regulatory liability & reimbursement uncertainty

Policies around data privacy, clinical validation and liability attribution vary across jurisdictions. Lack of reimbursement frameworks for AI-driven interactions reduces financial viability for providers. Shifts in compliance standards can disrupt deployment timelines and vendor selection. Legal ambiguity around AI-generated advice complicates risk management. These challenges continue to hamper coordinated market expansion.

Covid-19 Impact:

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

The machine learning (ML) segment is expected to be the largest during the forecast period

The machine learning (ML) segment is expected to account for the largest market share during the forecast period due to its foundational role in enabling adaptive and context-aware conversational systems. ML models are powering intent recognition, sentiment analysis and real-time response generation across patient interactions. Integration with clinical databases and decision support tools is improving relevance and accuracy. Vendors are offering healthcare-tuned ML engines that comply with regulatory standards. Demand for multilingual and emotion-sensitive capabilities is rising across global markets.

The pharmaceutical & drug development segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the pharmaceutical & drug development segment is predicted to witness the highest growth rate as life sciences firms adopt conversational AI to improve trial efficiency and patient engagement. AI tools are supporting recruitment, eligibility screening and protocol education across clinical studies. Chatbots are helping monitor adherence and collect patient-reported outcomes in real time. Integration with electronic data capture systems is enhancing trial visibility and compliance. Sponsors are using conversational AI to reduce dropout rates and improve diversity.

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 conversational AI across hospitals, insurers and digital health startups. Investment in cloud platforms, NLP engines and HIPAA-compliant tools is driving adoption. Presence of leading AI vendors and academic research centers is reinforcing innovation. Regulatory frameworks are evolving to support responsible use of conversational systems 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 conversational AI across public health, insurance and telemedicine platforms. Local startups are launching multilingual 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 Conversational AI in Healthcare Market include Nuance Communications, Inc., Suki AI, Inc., Notable Health, Inc., Corti.ai ApS, Hippocratic AI, Inc., Sensely Corporation, Orbita, Inc., Lifelink Systems, Inc., Botco.ai, Inc., Hyro, Inc., Saykara, Inc., DeepScribe, Inc., Augmedix, Inc., K Health, Inc. and Infermedica Sp. z o.o.

Key Developments:

In October 2025, Suki launched its inaugural AI Nursing Consortium, partnering with leading health systems to develop "Suki for Nurses." This voice assistant is designed to automate documentation and reduce burnout among frontline nurses, integrating seamlessly with major EHRs to streamline workflows and improve care delivery.

In March 2025, Nuance named ChipSoft as a regional launch partner in the Netherlands for Dragon Copilot, which manifested Nuance's (now Microsoft-led) strategy of combining EHR partners and local health-IT vendors to accelerate conversational-AI uptake in hospitals.

Technologies Covered:

  • Natural Language Processing (NLP)
  • Machine Learning (ML)
  • Speech Recognition
  • Speech Generation
  • Contextual Awareness Engines
  • Other Technologies

Applications Covered:

  • Patient Engagement & Support
  • Clinical Workflow Automation
  • Medical Record Mining
  • Medical Imaging Analysis
  • Emergency Assistance
  • Mental Health Support
  • Telehealth & Remote Monitoring
  • Pharmaceutical & Drug Development

End Users Covered:

  • Hospitals & Clinics
  • Pharmaceutical Companies
  • Health Insurance Providers
  • Telehealth Platforms
  • Patients & Consumers
  • 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 Conversational AI in Healthcare Market, By Technology

  • 5.1 Introduction
  • 5.2 Natural Language Processing (NLP)
  • 5.3 Machine Learning (ML)
  • 5.4 Speech Recognition
  • 5.5 Speech Generation
  • 5.6 Contextual Awareness Engines
  • 5.7 Other Technologies

6 Global Conversational AI in Healthcare Market, By Application

  • 6.1 Introduction
  • 6.2 Patient Engagement & Support
    • 6.2.1 Appointment Scheduling
    • 6.2.2 Medication Reminders
    • 6.2.3 Symptom Checking
  • 6.3 Clinical Workflow Automation
    • 6.3.1 Triage & Intake
    • 6.3.2 Documentation Assistance
  • 6.4 Medical Record Mining
  • 6.5 Medical Imaging Analysis
  • 6.6 Emergency Assistance
  • 6.7 Mental Health Support
  • 6.8 Telehealth & Remote Monitoring
  • 6.9 Pharmaceutical & Drug Development
    • 6.9.1 Trial Recruitment
    • 6.9.2 Adverse Event Reporting

7 Global Conversational AI in Healthcare Market, By End User

  • 7.1 Hospitals & Clinics
  • 7.2 Pharmaceutical Companies
  • 7.3 Health Insurance Providers
  • 7.4 Telehealth Platforms
  • 7.5 Patients & Consumers
  • 7.6 Government & Public Health Agencies
  • 7.7 Other End Users

8 Global Conversational AI in Healthcare Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 Nuance Communications, Inc.
  • 10.2 Suki AI, Inc.
  • 10.3 Notable Health, Inc.
  • 10.4 Corti.ai ApS
  • 10.5 Hippocratic AI, Inc.
  • 10.6 Sensely Corporation
  • 10.7 Orbita, Inc.
  • 10.8 Lifelink Systems, Inc.
  • 10.9 Botco.ai, Inc.
  • 10.10 Hyro, Inc.
  • 10.11 Saykara, Inc.
  • 10.12 DeepScribe, Inc.
  • 10.13 Augmedix, Inc.
  • 10.14 K Health, Inc.
  • 10.15 Infermedica Sp. z o.o.

List of Tables

  • Table 1 Global Conversational AI in Healthcare Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Conversational AI in Healthcare Market Outlook, By Technology (2024-2032) ($MN)
  • Table 3 Global Conversational AI in Healthcare Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 4 Global Conversational AI in Healthcare Market Outlook, By Machine Learning (ML) (2024-2032) ($MN)
  • Table 5 Global Conversational AI in Healthcare Market Outlook, By Speech Recognition (2024-2032) ($MN)
  • Table 6 Global Conversational AI in Healthcare Market Outlook, By Speech Generation (2024-2032) ($MN)
  • Table 7 Global Conversational AI in Healthcare Market Outlook, By Contextual Awareness Engines (2024-2032) ($MN)
  • Table 8 Global Conversational AI in Healthcare Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 9 Global Conversational AI in Healthcare Market Outlook, By Application (2024-2032) ($MN)
  • Table 10 Global Conversational AI in Healthcare Market Outlook, By Patient Engagement & Support (2024-2032) ($MN)
  • Table 11 Global Conversational AI in Healthcare Market Outlook, By Appointment Scheduling (2024-2032) ($MN)
  • Table 12 Global Conversational AI in Healthcare Market Outlook, By Medication Reminders (2024-2032) ($MN)
  • Table 13 Global Conversational AI in Healthcare Market Outlook, By Symptom Checking (2024-2032) ($MN)
  • Table 14 Global Conversational AI in Healthcare Market Outlook, By Clinical Workflow Automation (2024-2032) ($MN)
  • Table 15 Global Conversational AI in Healthcare Market Outlook, By Triage & Intake (2024-2032) ($MN)
  • Table 16 Global Conversational AI in Healthcare Market Outlook, By Documentation Assistance (2024-2032) ($MN)
  • Table 17 Global Conversational AI in Healthcare Market Outlook, By Medical Record Mining (2024-2032) ($MN)
  • Table 18 Global Conversational AI in Healthcare Market Outlook, By Medical Imaging Analysis (2024-2032) ($MN)
  • Table 19 Global Conversational AI in Healthcare Market Outlook, By Emergency Assistance (2024-2032) ($MN)
  • Table 20 Global Conversational AI in Healthcare Market Outlook, By Mental Health Support (2024-2032) ($MN)
  • Table 21 Global Conversational AI in Healthcare Market Outlook, By Telehealth & Remote Monitoring (2024-2032) ($MN)
  • Table 22 Global Conversational AI in Healthcare Market Outlook, By Pharmaceutical & Drug Development (2024-2032) ($MN)
  • Table 23 Global Conversational AI in Healthcare Market Outlook, By Trial Recruitment (2024-2032) ($MN)
  • Table 24 Global Conversational AI in Healthcare Market Outlook, By Adverse Event Reporting (2024-2032) ($MN)
  • Table 25 Global Conversational AI in Healthcare Market Outlook, By End User (2024-2032) ($MN)
  • Table 26 Global Conversational AI in Healthcare Market Outlook, By Hospitals & Clinics (2024-2032) ($MN)
  • Table 27 Global Conversational AI in Healthcare Market Outlook, By Pharmaceutical Companies (2024-2032) ($MN)
  • Table 28 Global Conversational AI in Healthcare Market Outlook, By Health Insurance Providers (2024-2032) ($MN)
  • Table 29 Global Conversational AI in Healthcare Market Outlook, By Telehealth Platforms (2024-2032) ($MN)
  • Table 30 Global Conversational AI in Healthcare Market Outlook, By Patients & Consumers (2024-2032) ($MN)
  • Table 31 Global Conversational AI in Healthcare Market Outlook, By Government & Public Health Agencies (2024-2032) ($MN)
  • Table 32 Global Conversational AI in Healthcare Market Outlook, By Other End Users (2024-2032) ($MN)

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