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全球醫療保健對話式人工智慧市場：市場規模、佔有率和趨勢分析（按組件、技術、應用、最終用途和地區分類），細分市場預測（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個工作天內

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簡介目錄

醫療保健領域的對話式人工智慧：市場概覽

全球醫療保健對話式人工智慧市場規模預計在2024年達到136.8億美元，預計到2033年將達到1066.7億美元，2025年至2033年的複合年成長率為25.71%。對提高病人參與的需求不斷成長、遠端醫療和遠距照護的日益普及以及自然語言處理（NLP）和人工智慧技術的進步是推動市場成長的關鍵因素。

此外，成本效益和營運最佳化，以及醫療保健行政工作流程的自動化，也是推動市場成長的其他因素。遠端醫療的快速普及催生了對對話式人工智慧的需求，以支援虛擬患者互動和護理協調。人工智慧驅動的聊天機器人能夠在遠端諮詢期間進行症狀分診、追蹤和健康教育。對話式人工智慧透過為患者和臨床醫生提供即時幫助，增強了遠端醫療平台的功能。遠端患者監護設備與人工智慧主導的通訊工具結合，能夠改善慢性病管理和患者依從性。人工智慧系統的便利性和擴充性將推動遠端醫療在全球的普及。

醫療服務提供者正在利用對話式人工智慧來維持醫療服務的連續性，並減少院外再入院率。對居家醫療和遠距醫療日益成長的需求正在推動人工智慧驅動的虛擬醫療解決方案的發展。例如，2025年4月，Belong.Life與Equiva合作，將其對話式人工智慧健康導師Dave（腫瘤治療專家）和Fred（綜合健康生活方式教練）整合到Equiva的院內和居家平台中。這些人工智慧助理提供即時支援，包括回答健康問題、幫助患者做好就診準備、翻譯醫療文件、提供出院指導以及提供量身定做的情緒和行為輔導。

此外，語音AI助理的日益普及也推動了市場成長。語音AI助理透過為臨床醫生和患者提供免手動即時支持，徹底改變了醫療保健的工作流程。這些AI工具簡化了諸如臨床記錄轉錄、日程安排和電子病歷搜尋等行政任務。語音助理減輕了醫療專業人員的負擔，使他們能夠更專注於患者護理，同時最大限度地減少錯誤並加強溝通。例如，2025年5月，SoundHound AI與Allina Health合作推出了Alli，這是一款旨在簡化病患就醫流程和就醫體驗的AI助理。 Alli由SoundHound的Amelia對話式AI平台提供支持，可與電子健康記錄整合，即時識別來電者、管理預約，並協助進行藥物續配和醫生搜尋。

目錄

第1章 分析方法和範圍

第2章執行摘要

第3章：醫療保健領域的對話式人工智慧市場：促進因素、趨勢與範圍

  • 市場聯動展望
    • 母市場展望
    • 相關/附隨市場展望
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 市場機會分析
    • 市場問題分析
  • 醫療保健領域的對話式人工智慧市場：分析工具
    • 產業分析：波特五力分析
    • PESTEL 分析

第4章：醫療保健對話式人工智慧市場：按組件分類的估算與趨勢分析

  • 細分儀表板
  • 全球醫療保健對話式人工智慧市場：按組件分類的變化分析
  • 全球醫療保健對話式人工智慧市場規模及趨勢分析（按組件分類）（2021-2033 年）
  • 聊天機器人
  • 虛擬助手
  • 語音辨識系統
  • 服務

第5章：醫療對話式人工智慧市場：按技術分類的估算與趨勢分析

  • 細分儀表板
  • 全球醫療保健對話式人工智慧市場：按技術分類的趨勢分析
  • 全球醫療保健對話式人工智慧市場規模及趨勢分析（按技術分類）（2021-2033 年）
  • 語音辨識與生成
  • 自然語言處理（NLP）、自然語言理解（NLU）
  • 機器學習和深度學習模型
  • 大規模語言模式（LLM）與生成式人工智慧
  • 對話管理與編配
  • 其他

第6章：醫療保健領域的對話式人工智慧市場：按應用分類的估算與趨勢分析

  • 細分儀表板
  • 全球醫療保健對話式人工智慧市場：按應用領域分類的趨勢分析
  • 全球對話式人工智慧市場規模與趨勢分析（醫療保健應用領域）（2021-2033 年）
  • 病人參與支持
  • 心理健康支持，治療機器人
  • 醫療診斷、臨床決策支持
  • 遠端患者監護
  • 遠端醫療，虛擬諮詢
  • 管理和工作流程自動化
  • 藥品和藥物資訊支持
  • 醫學訓練與教育
  • 其他

第7章：醫療保健領域的對話式人工智慧市場：按最終用途分類的估算與趨勢分析

  • 細分儀表板
  • 全球醫療保健對話式人工智慧市場：按最終用途分類的銷售分析
  • 全球醫療保健領域對話式人工智慧市場規模及趨勢分析（按最終用途分類）（2021-2033 年）
  • 醫院和診所
  • 患者/個人
  • 醫療支付方和保險公司
  • 製藥和生命科學公司
  • 其他

第8章：醫療保健領域對話式人工智慧市場：區域估算與趨勢分析

  • 按地區分類的市場佔有率分析（2024 年和 2033 年）
  • 市場概覽：按地區
  • 市場規模預測及趨勢分析（2021-2033）
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 挪威
    • 瑞典
    • 丹麥
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 韓國
    • 泰國
  • 拉丁美洲
    • 巴西
    • 阿根廷
  • 中東和非洲
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 科威特

第9章 競爭情勢

  • 公司/競爭對手分類
  • 策略規劃
  • 企業市場分析（2024）
  • 公司簡介/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
簡介目錄
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