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
Description
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:
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
100 Pages
- 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
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