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全球医疗保健对话式人工智慧市场：市场规模、份额和趋势分析（按组件、技术、应用、最终用途和地区划分），细分市场预测（2025-2033 年）

Conversational AI In Healthcare Market Size, Share & Trends Analysis Report By Component (Chatbots, Virtual Assistants), By Technology (Speech Recognition & Generation), By Application, By End Use, By Region, And Segment Forecasts, 2025 - 2033
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10个工作天内

价格
简介目录

医疗保健领域的对话式人工智慧：市场概览

全球医疗保健对话式人工智慧市场规模预计在2024年达到136.8亿美元，预计到2033年将达到1066.7亿美元，2025年至2033年的复合年增长率为25.71%。对提高病人参与的需求不断增长、远端医疗和远距照护的日益普及以及自然语言处理（NLP）和人工智慧技术的进步是推动市场成长的关键因素。

此外，成本效益和营运优化，以及医疗保健行政工作流程的自动化，也是推动市场成长的其他因素。远端医疗的快速普及催生了对对话式人工智慧的需求，以支援虚拟患者互动和护理协调。人工智慧驱动的聊天机器人能够在远端咨询期间进行症状分诊、追踪和健康教育。对话式人工智慧透过为患者和临床医生提供即时帮助，增强了远端医疗平台的功能。远端患者监护设备与人工智慧主导的通讯工具结合，能够改善慢性病管理和患者依从性。人工智慧系统的便利性和扩充性将推动远端医疗在全球的普及。

医疗服务提供者正在利用对话式人工智慧来维持医疗服务的连续性，并减少院外再入院率。对居家医疗和远距医疗日益增长的需求正在推动人工智慧驱动的虚拟医疗解决方案的发展。例如，2025年4月，Belong.Life与Equiva合作，将其对话式人工智慧健康导师Dave（肿瘤治疗专家）和Fred（综合健康生活方式教练）整合到Equiva的院内和居家平台中。这些人工智慧助理提供即时支援，包括回答健康问题、帮助患者做好就诊准备、翻译医疗文件、提供出院指导以及提供量身定制的情绪和行为辅导。

此外，语音AI助理的日益普及也推动了市场成长。语音AI助理透过为临床医生和患者提供免手动即时支持，彻底改变了医疗保健的工作流程。这些AI工具简化了诸如临床记录转录、日程安排和电子病历搜寻等行政任务。语音助理减轻了医疗专业人员的负担，使他们能够更专注于患者护理，同时最大限度地减少错误并加强沟通。例如，2025年5月，SoundHound AI与Allina Health合作推出了Alli，这是一款旨在简化病患就医流程和就医体验的AI助理。 Alli由SoundHound的Amelia对话式AI平台提供支持，可与电子健康记录集成，即时识别来电者、管理预约，并协助进行药物续配和医生搜寻。

目录

第一章 分析方法和范围

第二章执行摘要

第三章：医疗保健领域的对话式人工智慧市场：驱动因素、趋势与范围

  • 市场联动展望
    • 母市场展望
    • 相关/附随市场展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 市场机会分析
    • 市场问题分析
  • 医疗保健领域的对话式人工智慧市场：分析工具
    • 产业分析：波特五力分析
    • PESTEL 分析

第四章：医疗保健对话式人工智慧市场：按组件分類的估算与趋势分析

  • 细分仪表板
  • 全球医疗保健对话式人工智慧市场：按组件分類的变化分析
  • 全球医疗保健对话式人工智慧市场规模及趋势分析（按组件划分）（2021-2033 年）
  • 聊天机器人
  • 虚拟助手
  • 语音辨识系统
  • 服务

第五章：医疗对话式人工智慧市场：按技术分類的估算与趋势分析

  • 细分仪表板
  • 全球医疗保健对话式人工智慧市场：按技术分類的趋势分析
  • 全球医疗保健对话式人工智慧市场规模及趋势分析（按技术划分）（2021-2033 年）
  • 语音辨识与生成
  • 自然语言处理（NLP）、自然语言理解（NLU）
  • 机器学习和深度学习模型
  • 大规模语言模式（LLM）与生成式人工智慧
  • 对话管理与编配
  • 其他的

第六章：医疗保健领域的对话式人工智慧市场：按应用分類的估算与趋势分析

  • 细分仪表板
  • 全球医疗保健对话式人工智慧市场：按应用领域分類的趋势分析
  • 全球对话式人工智慧市场规模与趋势分析（医疗保健应用领域）（2021-2033 年）
  • 病人参与支持
  • 心理健康支持，治疗机器人
  • 医疗诊断、临床决策支持
  • 远端患者监护
  • 远端医疗，虚拟咨询
  • 管理和工作流程自动化
  • 药品和药物资讯支持
  • 医学训练与教育
  • 其他的

第七章：医疗保健领域的对话式人工智慧市场：按最终用途分類的估算与趋势分析

  • 细分仪表板
  • 全球医疗保健对话式人工智慧市场：按最终用途分類的销售分析
  • 全球医疗保健领域对话式人工智慧市场规模及趋势分析（按最终用途划分）（2021-2033 年）
  • 医院和诊所
  • 患者/个人
  • 医疗支付方和保险公司
  • 製药和生命科学公司
  • 其他的

第八章：医疗保健领域对话式人工智慧市场：区域估算与趋势分析

  • 按地区分類的市场份额分析（2024 年和 2033 年）
  • 市场概览：按地区
  • 市场规模预测及趋势分析（2021-2033）
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 挪威
    • 瑞典
    • 丹麦
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 韩国
    • 泰国
  • 拉丁美洲
    • 巴西
    • 阿根廷
  • 中东和非洲
    • 南非
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 科威特

第九章 竞争情势

  • 公司/竞争对手分类
  • 策略规划
  • 企业市场分析（2024）
  • 公司简介/上市公司
    • Rasa Technologies Inc.
    • Corti
    • Enlitic, Inc.
    • IBM
    • UST
    • Authenticx
    • LivePerson
    • Hyro
    • Notable
    • Oncora Medical
    • NVIDIA Corporation
    • Mediktor
    • Nuance（Microsoft）
    • Fireflies
    • Abridge Al, Inc.
    • Babylon Health
    • Agora
    • Google
简介目录
Product Code: GVR-4-68040-734-3

Conversational AI In Healthcare Market Overview

The global conversational AI in healthcare market size was estimated at USD 13.68 billion in 2024 and is projected to reach USD 106.67 billion by 2033, growing at a CAGR of 25.71% from 2025 to 2033. Rising demand for improved patient engagement, increasing adoption of telehealth and remote care, and advancements in natural language processing (NLP) and AI technologies are significant factors contributing to market growth.

In addition, cost efficiency & operational optimization, and automation of administrative healthcare workflows are some other factors fueling market growth further. The rapid adoption of telemedicine amplifies the need for conversational AI to support virtual patient interactions and care coordination. AI-powered chatbots enable symptom triage, follow-ups, and health education during remote consultations. Conversational AI enhances telehealth platforms by providing real-time assistance to patients and clinicians. Remote patient monitoring devices combined with AI-driven communication tools improve chronic disease management and adherence. The convenience and scalability of AI systems boost telehealth penetration globally.

Healthcare providers leverage conversational AI to maintain continuity of care and reduce hospital readmissions outside physical settings. Increasing demand for home-based and decentralized healthcare drives AI-enabled virtual care solutions. For instance, in April 2025, Belong. Life partnered with Equiva to integrate its conversational AI health mentors, Dave (cancer care expert) and Fred (general health and lifestyle coach), into Equiva's in-hospital and home-based platforms. These AI companions provide real-time support by answering health questions, preparing patients for doctor visits, translating medical documents, guiding hospital discharge, and offering tailored emotional and behavioral coaching.

Furthermore, increasing adoption of voice-enabled AI assistants propels market growth. Voice-enabled AI assistants have transformed healthcare workflows by offering hands-free, real-time support for clinicians and patients. These AI tools streamline administrative tasks such as clinical note transcription, scheduling, and EHR retrieval. Voice assistants reduce provider workload, allowing more focus on patient care while minimizing errors and enhancing communication. For instance, in May 2025, SoundHound AI partnered with Allina Health to launch "Alli," an AI agent designed to streamline patient engagement and access to care. Powered by SoundHound's Amelia conversational AI platform, Alli integrates with electronic medical records to identify callers instantly, manage appointments, and support medication refills and provider searches.

Global Conversational AI In Healthcare Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global conversational AI in healthcare market report based on component, technology, application, end use, and region:

  • Component Outlook (Revenue, USD Million, 2021 - 2033)
  • Chatbots
  • Virtual Assistants
  • Speech Recognition Systems
  • Services
  • Technology Outlook (Revenue, USD Million, 2021 - 2033)
  • Speech Recognition & Generation
  • Natural Language Processing (NLP) & Understanding (NLU)
  • Machine Learning & Deep Learning Models
  • Large Language Models (LLMs) & Generative AI
  • Dialogue Management & Orchestration
  • Others
  • Application Outlook (Revenue, USD Million, 2021 - 2033)
  • Patient Engagement & Support
  • Mental Health Support & Therapy Bots
  • Medical Diagnosis & Clinical Decision Support
  • Remote Patient Monitoring
  • Telemedicine & Virtual Consultations
  • Administrative & Workflow Automation
  • Pharmaceutical & Drug Information Assistance
  • Medical Training & Education
  • Others
  • End Use Outlook (Revenue, USD Million, 2021 - 2033)
  • Hospitals & Clinics
  • Patients & Individuals
  • Healthcare Payers & Insurance Companies
  • Pharmaceutical & Life Sciences Companies
  • Others
  • Regional Outlook (Revenue, USD Million, 2021 - 2033)
  • 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. Component Segment
    • 1.2.2. Technology Segment
    • 1.2.3. Application 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. Conversational AI 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. Increasing adoption of telehealth and remote care
      • 3.2.1.2. Advancements in natural language processing (NLP) and AI technologies
      • 3.2.1.3. Rising demand for improved patient engagement
    • 3.2.2. Market restraint analysis
      • 3.2.2.1. Data security and privacy concerns
      • 3.2.2.2. Limited Clinical Validation and Acceptance
    • 3.2.3. Market opportunity analysis
    • 3.2.4. Market challenges analysis
  • 3.3. Conversational AI 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

Chapter 4. Conversational AI in Healthcare Market: Component Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Global Conversational AI in Healthcare Market Component Movement Analysis
  • 4.3. Global Conversational AI in Healthcare Market Size & Trend Analysis, by Component, 2021 to 2033 (USD Million)
  • 4.4. Chatbots
    • 4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 4.5. Virtual Assistants
    • 4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 4.6. Speech Recognition Systems
    • 4.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 4.7. Services
    • 4.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 5. Conversational AI in Healthcare Market: Technology Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Global Conversational AI in Healthcare Market Technology Movement Analysis
  • 5.3. Global Conversational AI in Healthcare Market Size & Trend Analysis, by Technology, 2021 to 2033 (USD Million)
  • 5.4. Speech Recognition & Generation
    • 5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.5. Natural Language Processing (NLP) & Understanding (NLU)
    • 5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.6. Machine Learning & Deep Learning Models
    • 5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.7. Large Language Models (LLMs) & Generative AI
    • 5.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.8. Dialogue Management & Orchestration
    • 5.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.9. Others
    • 5.9.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 6. Conversational AI in Healthcare Market: Application Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Global Conversational AI in Healthcare Market Application Movement Analysis
  • 6.3. Global Conversational AI in Healthcare Market Size & Trend Analysis, by Application, 2021 to 2033 (USD Million)
  • 6.4. Patient Engagement & Support
    • 6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.5. Mental Health Support & Therapy Bots
    • 6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.6. Medical Diagnosis & Clinical Decision Support
    • 6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.7. Remote Patient Monitoring
    • 6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.8. Telemedicine & Virtual Consultations
    • 6.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.9. Administrative & Workflow Automation
    • 6.9.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.10. Pharmaceutical & Drug Information Assistance
    • 6.10.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.11. Medical Training & Education
    • 6.11.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.12. Others
    • 6.12.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

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

  • 7.1. Segment Dashboard
  • 7.2. Global Conversational AI in Healthcare Market End Use Movement Analysis
  • 7.3. Global Conversational AI in Healthcare Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
  • 7.4. Hospitals & Clinics
    • 7.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.5. Patients & Individuals
    • 7.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.6. Healthcare Payers & Insurance Companies
    • 7.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.7. Pharmaceutical & Life Sciences Companies
    • 7.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.8. Others
    • 7.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

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

  • 8.1. Regional Market Share Analysis, 2024 & 2033
  • 8.2. Regional Market Dashboard
  • 8.3. Market Size & Forecasts Trend Analysis, 2021 to 2033:
  • 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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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, 2021 to 2033 (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. Rasa Technologies Inc.
      • 9.4.1.1. Company overview
      • 9.4.1.2. Financial performance
      • 9.4.1.3. Product benchmarking
      • 9.4.1.4. Strategic initiatives
    • 9.4.2. Corti
      • 9.4.2.1. Company overview
      • 9.4.2.2. Financial performance
      • 9.4.2.3. Product benchmarking
      • 9.4.2.4. Strategic initiatives
    • 9.4.3. Enlitic, Inc.
      • 9.4.3.1. Company overview
      • 9.4.3.2. Financial performance
      • 9.4.3.3. Product benchmarking
      • 9.4.3.4. Strategic initiatives
    • 9.4.4. IBM
      • 9.4.4.1. Company overview
      • 9.4.4.2. Financial performance
      • 9.4.4.3. Product benchmarking
      • 9.4.4.4. Strategic initiatives
    • 9.4.5. UST
      • 9.4.5.1. Company overview
      • 9.4.5.2. Financial performance
      • 9.4.5.3. Product benchmarking
      • 9.4.5.4. Strategic initiatives
    • 9.4.6. Authenticx
      • 9.4.6.1. Company overview
      • 9.4.6.2. Financial performance
      • 9.4.6.3. Product benchmarking
      • 9.4.6.4. Strategic initiatives
    • 9.4.7. LivePerson
      • 9.4.7.1. Company overview
      • 9.4.7.2. Financial performance
      • 9.4.7.3. Product benchmarking
      • 9.4.7.4. Strategic initiatives
    • 9.4.8. Hyro
      • 9.4.8.1. Company overview
      • 9.4.8.2. Financial performance
      • 9.4.8.3. Product benchmarking
      • 9.4.8.4. Strategic initiatives
    • 9.4.9. Notable
      • 9.4.9.1. Company overview
      • 9.4.9.2. Financial performance
      • 9.4.9.3. Product benchmarking
      • 9.4.9.4. Strategic initiatives
    • 9.4.10. Oncora Medical
      • 9.4.10.1. Company overview
      • 9.4.10.2. Financial performance
      • 9.4.10.3. Product benchmarking
      • 9.4.10.4. Strategic initiatives
    • 9.4.11. NVIDIA Corporation
      • 9.4.11.1. Company overview
      • 9.4.11.2. Financial performance
      • 9.4.11.3. Product benchmarking
      • 9.4.11.4. Strategic initiatives
    • 9.4.12. Mediktor
      • 9.4.12.1. Company overview
      • 9.4.12.2. Financial performance
      • 9.4.12.3. Product benchmarking
      • 9.4.12.4. Strategic initiatives
    • 9.4.13. Nuance (Microsoft)
      • 9.4.13.1. Company overview
      • 9.4.13.2. Financial performance
      • 9.4.13.3. Product benchmarking
      • 9.4.13.4. Strategic initiatives
    • 9.4.14. Fireflies
      • 9.4.14.1. Company overview
      • 9.4.14.2. Financial performance
      • 9.4.14.3. Product benchmarking
      • 9.4.14.4. Strategic initiatives
    • 9.4.15. Abridge Al, Inc.
      • 9.4.15.1. Company overview
      • 9.4.15.2. Financial performance
      • 9.4.15.3. Product benchmarking
      • 9.4.15.4. Strategic initiatives
    • 9.4.16. Babylon Health
      • 9.4.16.1. Company overview
      • 9.4.16.2. Financial performance
      • 9.4.16.3. Product benchmarking
      • 9.4.16.4. Strategic initiatives
    • 9.4.17. Agora
      • 9.4.17.1. Company overview
      • 9.4.17.2. Financial performance
      • 9.4.17.3. Product benchmarking
      • 9.4.17.4. Strategic initiatives
    • 9.4.18. Google
      • 9.4.18.1. Company overview
      • 9.4.18.2. Financial performance
      • 9.4.18.3. Product benchmarking
      • 9.4.18.4. Strategic initiatives