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1856951

全球醫療保健對話式人工智慧市場：預測至 2032 年—按技術、應用、最終用戶和地區分類的分析

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，全球醫療保健對話式人工智慧市場規模將達到 174 億美元，到 2032 年將達到 929 億美元，預測期內複合年成長率為 27.02%。

醫療保健領域的對話式人工智慧是指利用先進的人工智慧技術，包括自然語言處理 (NLP) 和機器學習，實現患者、醫療服務提供者和醫療系統之間類似人類的互動。它為虛擬助理、聊天機器人和語音平台提供支持，用於提供個人化的醫療資訊、症狀檢查、預約安排、用藥提醒和病人參與。透過自動化日常任務和促進即時溝通，對話式人工智慧可以提高效率、改善患者體驗、減輕行政負擔並支援臨床決策，同時保障隱私並遵守醫療保健法規。

遠端醫療和遠距照護的需求不斷成長

醫療機構正在部署聊天機器人和語音助理來管理分診、預約安排和就診後追蹤。這些工具有助於減輕客服中心的負擔，並改善服務不足地區患者的就醫體驗。與電子病歷和護理協調平台的整合提高了服務的連續性和反應速度。對話式人工智慧也透過自動簽到和症狀追蹤來支持心理健康和慢性病護理計畫。這些功能正在推動虛擬醫療模式的可擴展應用。

對臨床安全性和準確性的擔憂

人工智慧系統可能誤解症狀和患者意圖，導致錯誤的指導和記錄。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。這些風險持續限制人工智慧系統在關鍵環境中的應用。

病人參與和可近性目標

聊天機器人和語音助理正在改善殘障人士、語言障礙者和數位素養較低的患者的溝通體驗。人工智慧工具能夠透過行動和網路管道提供全天候支援和個人化教育。與護理計劃和用藥提醒的整合正在提高患者的依從性和滿意度。醫療服務提供者正在利用對話式人工智慧將護理從臨床環境延伸到日常生活中。這些創新促進了全面、主動的醫療保健服務。

監管責任和報銷的不確定性

不同司法管轄區在資料隱私、臨床檢驗和責任歸屬方面的政策各不相同。缺乏針對主導互動的報銷框架會降低服務提供者的財務生存能力。不斷變化的合規標準可能會擾亂實施進度和供應商選擇。圍繞人工智慧生成建議的法律模糊性使風險管理變得複雜。這些挑戰阻礙了協調一致的市場擴張。

新冠疫情的影響：

疫情加速了人們對對話式人工智慧的興趣，因為醫療系統面臨激增的需求和有限的人員運轉率。在封鎖期間，人工智慧工具被部署用於管理症狀篩檢、疫苗接種安排和遠端監測。醫療機構使用聊天機器人和語音助理與患者保持溝通，並減輕行政負擔。隨著非接觸式解決方案變得至關重要，民眾對數位健康工具的接受度也隨之提高。疫情後的策略開始將對話式人工智慧納入混合醫療和數位化韌性計畫。這種轉變正在加速對人工智慧驅動的互動方式的長期投資。

預計在預測期內，機器學習（ML）細分市場將成為最大的細分市場。

預計在預測期內，機器學習 (ML) 領域將佔據最大的市場佔有率，因為它在實現自適應和情境感知對話系統中發揮著至關重要的作用。機器學習模型為患者互動中的意圖識別、情緒分析和即時回應生成提供支援。與臨床資料庫和決策支援工具的整合正在提高相關性和準確性。供應商正在遵守監管標準，並提供專為醫療保健領域最佳化的機器學習引擎。全球市場對多語言和情感感知系統的需求正在不斷成長。

預計在預測期內，製藥和藥物研發領域將實現最高的複合年成長率。

預計在預測期內，製藥和藥物研發領域將迎來最高成長率，因為生命科學公司正在採用對話式人工智慧來簡化試驗流程並提高病人參與。人工智慧工具正在支援臨床試驗中的招募、合格篩選和方案教育。聊天機器人有助於即時監測依從性並收集患者報告的結果。與電子資料採集系統的整合提高了試驗的透明度和合規性。申辦方正在利用對話式人工智慧來降低脫落率並提高受試者的多樣性。

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方面的積極參與。在美國，對話式人工智慧正在醫院、保險公司和數位醫療新興企業中迅速普及。對雲端平台、自然語言處理引擎和符合HIPAA標準的工具的投資正在推動其應用。主要人工智慧供應商和學術研究中心的存在也增強了創新能力。法律規範也不斷完善，以支持在臨床環境中負責任地使用對話式系統。

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對話式人工智慧。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工具。政府支持的計畫正在推動人工智慧融入農村醫療和基層醫療。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。

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  • 公司簡介
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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. 全球醫療保健對話式人工智慧市場（按技術分類）

  • 自然語言處理（NLP）
  • 機器學習（ML）
  • 語音辨識
  • 語音生成
  • 情境感知引擎
  • 其他技術

6. 全球醫療保健對話式人工智慧市場（按應用領域分類）

  • 病人參與支持
    • 預訂時間表
    • 服藥提醒
    • 症狀確認
  • 臨床工作流程自動化
    • 分診及接待
    • 文件支援
  • 醫療記錄挖掘
  • 醫學影像分析
  • 緊急援助
  • 心理健康支持
  • 遠端醫療和監測
  • 藥物研發
    • 臨床實驗招募
    • 不利事件報告

7. 全球醫療保健對話式人工智慧市場（按最終用戶分類）

  • 醫院和診所
  • 製藥公司
  • 健康保險公司
  • 遠端醫療平台
  • 病人/消費者
  • 政府和公共衛生機構
  • 其他最終用戶

8. 全球醫療保健對話式人工智慧市場（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9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10章：公司簡介

  • 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.