AI Platform For Clinical Conversations Market Size, Share & Trends Analysis Report By Component (Software & Platform, Services), By Application (Clinical Documentation Automation, Telehealth & Virtual Consultations), By End-use, By Region, And Segment For
Description
AI Platform For Clinical Conversations Market Summary
The global AI platform for clinical conversations market size was estimated at USD 538.31 million in 2024, and is projected to reach USD 4,187.77 million by 2033, growing at a CAGR of 25.70% from 2025 to 2033. Rising clinician burnout, the need to reduce administrative burden, and a growing emphasis on personalized patient engagement and remote patient monitoring are significant factors contributing to market growth.
Additionally, the expansion of telehealth and virtual care services is another factor that is further fueling market growth. The rising demand for workflow efficiency and the reduction of administrative burden are primary drivers accelerating the global adoption of AI platforms for clinical conversations. Health systems are increasingly facing physician burnout due to manual documentation, coding complexity, and regulatory compliance requirements.
AI-powered ambient scribe solutions streamline note-taking during patient-provider interactions, automatically capturing key details and structuring clinical documentation to enhance efficiency. This automation enables clinicians to focus on patient care, resulting in enhanced satisfaction, improved clinical accuracy, and increased workflow productivity. For instance, in October 2025, Northwell Health announced the deployment of Abridge’s ambient AI platform system-wide, automating clinical documentation to support 20,000 physicians and 22,000 nurses across 28 hospitals. The solution improves efficiency, reduces burnout, and integrates deeply with EMRs, helping clinicians manage over 50 million annual medical conversations with enterprise-grade security and multi-specialty support.
“Physician wellness and resiliency is one of the most essential issues facing healthcare today and promoting it requires redesigning how we work. The patient and clinician interaction is precious and time is an invaluable resource. By reducing documentation burden, Abridge will help our clinicians return to what they do best: caring for our patients.”
-Jill Kalman, MD, executive vice president, chief medical officer and deputy physician-in-chief at Northwell Health
Recent advancements in natural language processing (NLP) and large language models (LLMs) are accelerating the development of AI-driven clinical conversation platforms, enabling healthcare organizations to deliver more efficient, informed, and patient-centric care. These technologies facilitate contextual understanding across a wide range of medical scenarios and specialties. For instance, in October 2025, VideaHealth launched Voice Notes, the first AI-powered ambient scribe specifically designed for dentistry. Built on the VideaAI platform trained on over one billion dental images, it converts chairside conversations into complete, compliant clinical notes without disrupting workflows. AI systems now summarize, transcribe, and interpret medical discourse across various accents, dialects, and languages. Enhanced multimodal capabilities enable integration of audio, textual, and image data for a unified patient view.
Significant investment, strategic partnerships, and rapid product launches mark the competitive landscape of the AI platform for clinical conversations industry. For instance, in September 2025, Philips SpeechLive partnered with Corti to integrate ambient AI into its dictation platform, delivering real-time, structured clinical documentation and instant medical insights. Leading technology firms, health IT vendors, and emerging startups are developing AI conversation platforms tailored for inpatient, outpatient, and specialty settings. In February 2025, Akron Children’s Hospital announced the expansion of its use of the Abridge generative AI platform across pediatric specialties, including primary care, gastroenterology, cardiology, and pediatric psychiatry.
Global AI Platform For Clinical Conversations 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 AI platform for clinical conversations market report based on component, application, end-use, and region:
The global AI platform for clinical conversations market size was estimated at USD 538.31 million in 2024, and is projected to reach USD 4,187.77 million by 2033, growing at a CAGR of 25.70% from 2025 to 2033. Rising clinician burnout, the need to reduce administrative burden, and a growing emphasis on personalized patient engagement and remote patient monitoring are significant factors contributing to market growth.
Additionally, the expansion of telehealth and virtual care services is another factor that is further fueling market growth. The rising demand for workflow efficiency and the reduction of administrative burden are primary drivers accelerating the global adoption of AI platforms for clinical conversations. Health systems are increasingly facing physician burnout due to manual documentation, coding complexity, and regulatory compliance requirements.
AI-powered ambient scribe solutions streamline note-taking during patient-provider interactions, automatically capturing key details and structuring clinical documentation to enhance efficiency. This automation enables clinicians to focus on patient care, resulting in enhanced satisfaction, improved clinical accuracy, and increased workflow productivity. For instance, in October 2025, Northwell Health announced the deployment of Abridge’s ambient AI platform system-wide, automating clinical documentation to support 20,000 physicians and 22,000 nurses across 28 hospitals. The solution improves efficiency, reduces burnout, and integrates deeply with EMRs, helping clinicians manage over 50 million annual medical conversations with enterprise-grade security and multi-specialty support.
“Physician wellness and resiliency is one of the most essential issues facing healthcare today and promoting it requires redesigning how we work. The patient and clinician interaction is precious and time is an invaluable resource. By reducing documentation burden, Abridge will help our clinicians return to what they do best: caring for our patients.”
-Jill Kalman, MD, executive vice president, chief medical officer and deputy physician-in-chief at Northwell Health
Recent advancements in natural language processing (NLP) and large language models (LLMs) are accelerating the development of AI-driven clinical conversation platforms, enabling healthcare organizations to deliver more efficient, informed, and patient-centric care. These technologies facilitate contextual understanding across a wide range of medical scenarios and specialties. For instance, in October 2025, VideaHealth launched Voice Notes, the first AI-powered ambient scribe specifically designed for dentistry. Built on the VideaAI platform trained on over one billion dental images, it converts chairside conversations into complete, compliant clinical notes without disrupting workflows. AI systems now summarize, transcribe, and interpret medical discourse across various accents, dialects, and languages. Enhanced multimodal capabilities enable integration of audio, textual, and image data for a unified patient view.
Significant investment, strategic partnerships, and rapid product launches mark the competitive landscape of the AI platform for clinical conversations industry. For instance, in September 2025, Philips SpeechLive partnered with Corti to integrate ambient AI into its dictation platform, delivering real-time, structured clinical documentation and instant medical insights. Leading technology firms, health IT vendors, and emerging startups are developing AI conversation platforms tailored for inpatient, outpatient, and specialty settings. In February 2025, Akron Children’s Hospital announced the expansion of its use of the Abridge generative AI platform across pediatric specialties, including primary care, gastroenterology, cardiology, and pediatric psychiatry.
Global AI Platform For Clinical Conversations 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 AI platform for clinical conversations market report based on component, application, end-use, and region:
- Component Outlook (Revenue, USD Million, 2021 - 2033)
- Software & Platform
- Services
- Application Outlook (Revenue, USD Million, 2021 - 2033)
- Clinical Documentation Automation
- Telehealth & Virtual Consultations
- Administrative & Coding Support
- Training & Quality Assurance
- Others
- End Use Outlook (Revenue, USD Million, 2021 - 2033)
- Hospital/inpatient wards
- Ambulatory Care Centers & Outpatient Facilities
- Emergency/Urgent care
- Academic Medical Centers
- 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
- Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
- Kuwait
Table of Contents
100 Pages
- Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.2. Market Definitions
- 1.2.1. Component Segment
- 1.2.2. Application Segment
- 1.2.3. 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. AI Platform for Clinical Conversations 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
- 3.2.2. Market restraint analysis
- 3.2.3. Market opportunity analysis
- 3.2.4. Market challenges analysis
- 3.3. Case Studies
- 3.4. AI Platform for Clinical Conversations Market Analysis Tools
- 3.4.1. Industry Analysis – Porter’s Five Forces Analysis
- 3.4.1.1. Supplier power
- 3.4.1.2. Buyer power
- 3.4.1.3. Substitution threat
- 3.4.1.4. Threat of new entrant
- 3.4.1.5. Competitive rivalry
- 3.4.2. PESTEL Analysis
- 3.4.2.1. Political landscape
- 3.4.2.2. Technological landscape
- 3.4.2.3. Economic landscape
- 3.4.2.4. Environmental Landscape
- 3.4.2.5. Legal Landscape
- 3.4.2.6. Social Landscape
- Chapter 4. AI Platform for Clinical Conversations Market: Component Estimates & Trend Analysis
- 4.1. Segment Dashboard
- 4.2. Global AI Platform for Clinical Conversations Market Component Movement Analysis
- 4.3. Global AI Platform for Clinical Conversations Market Size & Trend Analysis, by Component, 2021 to 2033 (USD Million)
- 4.4. Software & Platform
- 4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 4.5. Services
- 4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- Chapter 5. AI Platform for Clinical Conversations Market: Application Estimates & Trend Analysis
- 5.1. Segment Dashboard
- 5.2. Global AI Platform for Clinical Conversations Market Application Movement Analysis
- 5.3. Global AI Platform for Clinical Conversations Market Size & Trend Analysis, by Application, 2021 to 2033 (USD Million)
- 5.4. Clinical Documentation Automation
- 5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.5. Telehealth & Virtual Consultations
- 5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.6. Administrative & Coding Support
- 5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.7. Others
- 5.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- Chapter 6. AI Platform for Clinical Conversations Market: End Use Estimates & Trend Analysis
- 6.1. Segment Dashboard
- 6.2. Global AI Platform for Clinical Conversations Market End Use Movement Analysis
- 6.3. Global AI Platform for Clinical Conversations Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
- 6.4. Hospitals/inpatient wards
- 6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.5. Ambulatory Care Centers & Outpatient Facilities
- 6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.6. Emergency/Urgent care
- 6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.7. Academic Medical Centers
- 6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.8. Others
- 6.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- Chapter 7. AI Platform for Clinical Conversations Market: Regional Estimates & Trend Analysis
- 7.1. Regional Market Share Analysis, 2024 & 2033
- 7.2. Regional Market Dashboard
- 7.3. Market Size & Forecasts Trend Analysis, 2021 to 2033
- 7.4. North America
- 7.4.1. U.S.
- 7.4.1.1. Key country dynamics
- 7.4.1.2. Regulatory framework
- 7.4.1.3. Competitive scenario
- 7.4.1.4. U.S. market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.4.2. Canada
- 7.4.2.1. Key country dynamics
- 7.4.2.2. Regulatory framework
- 7.4.2.3. Competitive scenario
- 7.4.2.4. Canada market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.4.3. Mexico
- 7.4.3.1. Key country dynamics
- 7.4.3.2. Regulatory framework
- 7.4.3.3. Competitive scenario
- 7.4.3.4. Mexico market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.5. Europe
- 7.5.1. UK
- 7.5.1.1. Key country dynamics
- 7.5.1.2. Regulatory framework
- 7.5.1.3. Competitive scenario
- 7.5.1.4. UK market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.5.2. Germany
- 7.5.2.1. Key country dynamics
- 7.5.2.2. Regulatory framework
- 7.5.2.3. Competitive scenario
- 7.5.2.4. Germany market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.5.3. France
- 7.5.3.1. Key country dynamics
- 7.5.3.2. Regulatory framework
- 7.5.3.3. Competitive scenario
- 7.5.3.4. France market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.5.4. Italy
- 7.5.4.1. Key country dynamics
- 7.5.4.2. Regulatory framework
- 7.5.4.3. Competitive scenario
- 7.5.4.4. Italy market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.5.5. Spain
- 7.5.5.1. Key country dynamics
- 7.5.5.2. Regulatory framework
- 7.5.5.3. Competitive scenario
- 7.5.5.4. Spain market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.5.6. Norway
- 7.5.6.1. Key country dynamics
- 7.5.6.2. Regulatory framework
- 7.5.6.3. Competitive scenario
- 7.5.6.4. Norway market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.5.7. Sweden
- 7.5.7.1. Key country dynamics
- 7.5.7.2. Regulatory framework
- 7.5.7.3. Competitive scenario
- 7.5.7.4. Sweden market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.5.8. Denmark
- 7.5.8.1. Key country dynamics
- 7.5.8.2. Regulatory framework
- 7.5.8.3. Competitive scenario
- 7.5.8.4. Denmark market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.6. Asia Pacific
- 7.6.1. Japan
- 7.6.1.1. Key country dynamics
- 7.6.1.2. Regulatory framework
- 7.6.1.3. Competitive scenario
- 7.6.1.4. Japan market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.6.2. China
- 7.6.2.1. Key country dynamics
- 7.6.2.2. Regulatory framework
- 7.6.2.3. Competitive scenario
- 7.6.2.4. China market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.6.3. India
- 7.6.3.1. Key country dynamics
- 7.6.3.2. Regulatory framework
- 7.6.3.3. Competitive scenario
- 7.6.3.4. India market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.6.4. Australia
- 7.6.4.1. Key country dynamics
- 7.6.4.2. Regulatory framework
- 7.6.4.3. Competitive scenario
- 7.6.4.4. Australia market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.6.5. South Korea
- 7.6.5.1. Key country dynamics
- 7.6.5.2. Regulatory framework
- 7.6.5.3. Competitive scenario
- 7.6.5.4. South Korea market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.6.6. Thailand
- 7.6.6.1. Key country dynamics
- 7.6.6.2. Regulatory framework
- 7.6.6.3. Competitive scenario
- 7.6.6.4. Thailand market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.7. Latin America
- 7.7.1. Brazil
- 7.7.1.1. Key country dynamics
- 7.7.1.2. Regulatory framework
- 7.7.1.3. Competitive scenario
- 7.7.1.4. Brazil market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.7.2. Argentina
- 7.7.2.1. Key country dynamics
- 7.7.2.2. Regulatory framework
- 7.7.2.3. Competitive scenario
- 7.7.2.4. Argentina market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.8. MEA
- 7.8.1. South Africa
- 7.8.1.1. Key country dynamics
- 7.8.1.2. Regulatory framework
- 7.8.1.3. Competitive scenario
- 7.8.1.4. South Africa market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.8.2. Saudi Arabia
- 7.8.2.1. Key country dynamics
- 7.8.2.2. Regulatory framework
- 7.8.2.3. Competitive scenario
- 7.8.2.4. Saudi Arabia market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.8.3. UAE
- 7.8.3.1. Key country dynamics
- 7.8.3.2. Regulatory framework
- 7.8.3.3. Competitive scenario
- 7.8.3.4. UAE market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.8.4. Kuwait
- 7.8.4.1. Key country dynamics
- 7.8.4.2. Regulatory framework
- 7.8.4.3. Competitive scenario
- 7.8.4.4. Kuwait market estimates and forecasts, 2021 to 2033 (USD Million)
- Chapter 8. Competitive Landscape
- 8.1. Company/Competition Categorization
- 8.2. Strategy Mapping
- 8.3. Company Market Position Analysis, 2024
- 8.4. Company Profiles/Listing
- 8.4.1. Abridge Al, Inc.
- 8.4.1.1. Company overview
- 8.4.1.2. Financial performance
- 8.4.1.3. Product benchmarking
- 8.4.1.4. Strategic initiatives
- 8.4.2. Infinitus Systems
- 8.4.2.1. Company overview
- 8.4.2.2. Financial performance
- 8.4.2.3. Product benchmarking
- 8.4.2.4. Strategic initiatives
- 8.4.3. IBM
- 8.4.3.1. Company overview
- 8.4.3.2. Financial performance
- 8.4.3.3. Product benchmarking
- 8.4.3.4. Strategic initiatives
- 8.4.4. Suki AI, Inc.
- 8.4.4.1. Company overview
- 8.4.4.2. Financial performance
- 8.4.4.3. Product benchmarking
- 8.4.4.4. Strategic initiatives
- 8.4.5. Nuance Communications (acquired by Microsoft)
- 8.4.5.1. Company overview
- 8.4.5.2. Financial performance
- 8.4.5.3. Product benchmarking
- 8.4.5.4. Strategic initiatives
- 8.4.6. Sunoh.ai (by healow)
- 8.4.6.1. Company overview
- 8.4.6.2. Financial performance
- 8.4.6.3. Product benchmarking
- 8.4.6.4. Strategic initiatives
- 8.4.7. Speechmatics
- 8.4.7.1. Company overview
- 8.4.7.2. Financial performance
- 8.4.7.3. Product benchmarking
- 8.4.7.4. Strategic initiatives
- 8.4.8. Heidi
- 8.4.8.1. Company overview
- 8.4.8.2. Financial performance
- 8.4.8.3. Product benchmarking
- 8.4.8.4. Strategic initiatives
- 8.4.9. Augmedix
- 8.4.9.1. Company overview
- 8.4.9.2. Financial performance
- 8.4.9.3. Product benchmarking
- 8.4.9.4. Strategic initiatives
- 8.4.10. 3M (M*Modal)
- 8.4.10.1. Company overview
- 8.4.10.2. Financial performance
- 8.4.10.3. Product benchmarking
- 8.4.10.4. Strategic initiatives
- 8.4.11. Regard
- 8.4.11.1. Company overview
- 8.4.11.2. Financial performance
- 8.4.11.3. Product benchmarking
- 8.4.11.4. Strategic initiatives
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