AI-In Patient Engagement Market Size, Share, Trends, Growth Outlook

AI-In Patient Engagement Market is estimated to increase at a growth rate of 22.3% CAGR over the forecast period from 2024 to 2030.

The AI-In Patient Engagement Market study analyzes and forecasts the market size across 6 regions and 24 countries for diverse segments including By Delivery Type (Cloud-based, On-premise), By Technology (NLP (Natural Language Processing), Chatbots, Computer Vision), By Functionality (Communication, Health Tracking & Insights, Billing & Payments, Administrative, Patient Education, Others), By Therapeutic Area (Health & Wellness, Chronic Disease Management, Others), By Application (Population Health Management, Outpatient Health Management, In-patient Health Management, Others), By End-User (Payers, Providers, Others).

An Introduction to AI-In Patient Engagement Market in 2024

The AI-In Patient Engagement Market in 2024 is witnessing significant growth, driven by the increasing focus on patient-centered care, digital health technologies, and value-based healthcare models to enhance patient experience, health outcomes, and care coordination across the continuum of care. Patient engagement plays a critical role in promoting health literacy, treatment adherence, and self-management behaviors, empowering individuals to actively participate in their healthcare journey and make informed decisions about their health and well-being. With advancements in conversational AI, virtual health assistants, and personalized health coaching platforms, the market offers AI-driven patient engagement solutions, remote monitoring applications, and behavior change interventions, tailored to individual preferences, health goals, and care needs. Moreover, the integration of patient-generated health data, wearable sensors, and mobile health apps further enhances patient-provider communication, care plan adherence, and care team collaboration, driving market expansion and supporting patient-centric healthcare delivery models.

AI-In Patient Engagement Market Trend: Adoption of AI-Powered Patient Engagement Solutions

A prominent trend in the AI-In Patient Engagement market is the widespread adoption of AI-powered solutions to enhance patient engagement and improve healthcare outcomes. Healthcare providers and organizations are leveraging AI technologies such as natural language processing (NLP), machine learning (ML), and predictive analytics to develop personalized and interactive patient engagement platforms. These platforms enable healthcare providers to deliver targeted health education, facilitate remote monitoring, automate appointment scheduling, and provide timely interventions based on individual patient needs and preferences.

AI-In Patient Engagement Market Driver: Increasing Emphasis on Patient-Centered Care

The primary driver fueling the AI-In Patient Engagement market is the increasing emphasis on patient-centered care and the shift towards value-based healthcare models. With rising healthcare costs, growing chronic disease burden, and the need for preventive care, healthcare stakeholders are prioritizing strategies to engage patients more actively in their health management. AI-powered patient engagement solutions play a vital role in empowering patients to take control of their health, improve adherence to treatment plans, and foster better communication between patients and healthcare providers, ultimately leading to improved health outcomes and patient satisfaction.

AI-In Patient Engagement Market Opportunity: Development of AI-Driven Virtual Health Assistants

An opportunity in the AI-In Patient Engagement market lies in the development of AI-driven virtual health assistants (VHAs) or chatbots designed to provide personalized support and guidance to patients throughout their healthcare journey. These virtual assistants leverage AI algorithms to deliver timely health information, answer patient queries, offer medication reminders, track health metrics, and provide emotional support. By integrating with electronic health records (EHRs) and wearable devices, AI-driven VHAs can offer continuous monitoring and support to patients, improve health literacy, and facilitate proactive interventions, thereby enhancing patient engagement and driving better health outcomes.

AI-In Patient Engagement Market Segmentation

By Delivery Type
Cloud-based
On-premise
By Technology
NLP (Natural Language Processing)
Chatbots
Computer Vision
By Functionality
Communication
Health Tracking & Insights
Billing & Payments
Administrative
Patient Education
Others
By Therapeutic Area
Health & Wellness
Chronic Disease Management
Others
By Application
Population Health Management
Outpatient Health Management
In-patient Health Management
Others
By End-user
Payers
Providers
Others
Geographical Analysis
North America (United States, Canada, Mexico)
Europe (Germany, France, United Kingdom, Spain, Italy, Rest of Europe)
Asia Pacific (China, India, Japan, South Korea, Rest of Asia Pacific)
South America (Brazil, Argentina, Rest of South America)
Middle East and Africa (Saudi Arabia, UAE, Rest of Middle East, South Africa, Egypt, Rest of Africa)


AI-In Patient Engagement Market Companies
Ada Health
Aiva Health
American Well (Amwell)
Cerner Corp
Health Catalyst
IBM Watson Health
Infermedica
Lark Health
Nuance Communications
PatientBond
Roche
Welltok

Reasons to Buy the AI-In Patient Engagement Market Study
• Deepen your industry insights and navigate uncertainties for strategy formulation, CAPEX, and Operational decisions
• Gain access to detailed insights on the AI-In Patient Engagement Market, encompassing current market size, growth trends, and forecasts till 2030.
• Access detailed competitor analysis, enabling competitive advantage through a thorough understanding of market players, strategies, and potential differentiation opportunities
• Stay ahead of the curve with insights on technological advancements, innovations, and upcoming trends
• Identify lucrative investment avenues and expansion opportunities within the AI-In Patient Engagement Market industry, guided by robust, data-backed analysis.
• Understand regional and global markets through country-wise analysis, regional market potential, regulatory nuances, and dynamics
• Execute strategies with confidence and speed through information, analytics, and insights on the industry value chain
• Corporate leaders, strategists, financial experts, shareholders, asset managers, and governmental representatives can make long-term planning scenarios and build an integrated and timely understanding of market dynamics
• Benefit from tailored solutions and expert consultation based on report insights, providing personalized strategies aligned with specific business needs.

TABLE OF CONTENTS

1 Introduction to 2024 AI-In Patient Engagement Market
1.1 Market Overview
1.2 Quick Facts
1.3 Scope/Objective of the Study
1.4 Market Definition
1.5 Countries and Regions Analyzed
1.6 Units, Currency, and Conversions
1.7 Industry Value Chain

2 Research Methodology
2.1 Market Size Estimation
2.2 Sources and Research Methodology
2.3 Data Triangulation
2.4 Assumptions and Limitations

3 Executive Summary
3.1 Global AI-In Patient Engagement Market Size Outlook, $ Million, 2021 to 2030
3.2 AI-In Patient Engagement Market Outlook by Type, $ Million, 2021 to 2030
3.3 AI-In Patient Engagement Market Outlook by Product, $ Million, 2021 to 2030
3.4 AI-In Patient Engagement Market Outlook by Application, $ Million, 2021 to 2030
3.5 AI-In Patient Engagement Market Outlook by Key Countries, $ Million, 2021 to 2030

4 Market Dynamics
4.1 Key Driving Forces of AI-In Patient Engagement Market Industry
4.2 Key Market Trends in AI-In Patient Engagement Market Industry
4.3 Potential Opportunities in AI-In Patient Engagement Market Industry
4.4 Key Challenges in AI-In Patient Engagement Market Industry

5 Market Factor Analysis
5.1 Competitive Landscape
5.1.1 Global AI-In Patient Engagement Market Share by Company (%), 2023
5.1.2 Product Offerings by Company
5.2 Porter’s Five Forces Analysis

6 Growth Outlook Across Scenarios
6.1 Growth Analysis-Case Scenario Definitions
6.2 Low Growth Scenario Forecasts
6.3 Reference Growth Scenario Forecasts
6.4 High Growth Scenario Forecasts

7 Global AI-In Patient Engagement Market Outlook By Segments
7.1 AI-In Patient Engagement Market Outlook by Segments
By Delivery Type
Cloud-based
On-premise
By Technology
NLP (Natural Language Processing)
Chatbots
Computer Vision
By Functionality
Communication
Health Tracking & Insights
Billing & Payments
Administrative
Patient Education
Others
By Therapeutic Area
Health & Wellness
Chronic Disease Management
Others
By Application
Population Health Management
Outpatient Health Management
In-patient Health Management
Others
By End-user
Payers
Providers
Others

8 North America AI-In Patient Engagement Market Analysis And Outlook To 2030
8.1 Introduction to North America AI-In Patient Engagement Markets in 2024
8.2 North America AI-In Patient Engagement Market Size Outlook by Country, 2021-2030
8.2.1 United States
8.2.2 Canada
8.2.3 Mexico
8.3 North America AI-In Patient Engagement Market size Outlook by Segments, 2021-2030
By Delivery Type
Cloud-based
On-premise
By Technology
NLP (Natural Language Processing)
Chatbots
Computer Vision
By Functionality
Communication
Health Tracking & Insights
Billing & Payments
Administrative
Patient Education
Others
By Therapeutic Area
Health & Wellness
Chronic Disease Management
Others
By Application
Population Health Management
Outpatient Health Management
In-patient Health Management
Others
By End-user
Payers
Providers
Others

9 Europe AI-In Patient Engagement Market Analysis And Outlook To 2030
9.1 Introduction to Europe AI-In Patient Engagement Markets in 2024
9.2 Europe AI-In Patient Engagement Market Size Outlook by Country, 2021-2030
9.2.1 Germany
9.2.2 France
9.2.3 Spain
9.2.4 United Kingdom
9.2.4 Italy
9.2.5 Russia
9.2.6 Norway
9.2.7 Rest of Europe
9.3 Europe AI-In Patient Engagement Market Size Outlook By Segments, 2021-2030
By Delivery Type
Cloud-based
On-premise
By Technology
NLP (Natural Language Processing)
Chatbots
Computer Vision
By Functionality
Communication
Health Tracking & Insights
Billing & Payments
Administrative
Patient Education
Others
By Therapeutic Area
Health & Wellness
Chronic Disease Management
Others
By Application
Population Health Management
Outpatient Health Management
In-patient Health Management
Others
By End-user
Payers
Providers
Others

10 Asia Pacific AI-In Patient Engagement Market Analysis And Outlook To 2030
10.1 Introduction to Asia Pacific AI-In Patient Engagement Markets in 2024
10.2 Asia Pacific AI-In Patient Engagement Market Size Outlook by Country, 2021-2030
10.2.1 China
10.2.2 India
10.2.3 Japan
10.2.4 South Korea
10.2.5 Indonesia
10.2.6 Malaysia
10.2.7 Australia
10.2.8 Rest of Asia Pacific
10.3 Asia Pacific AI-In Patient Engagement Market size Outlook by Segments, 2021-2030
By Delivery Type
Cloud-based
On-premise
By Technology
NLP (Natural Language Processing)
Chatbots
Computer Vision
By Functionality
Communication
Health Tracking & Insights
Billing & Payments
Administrative
Patient Education
Others
By Therapeutic Area
Health & Wellness
Chronic Disease Management
Others
By Application
Population Health Management
Outpatient Health Management
In-patient Health Management
Others
By End-user
Payers
Providers
Others

11 South America AI-In Patient Engagement Market Analysis And Outlook To 2030
11.1 Introduction to South America AI-In Patient Engagement Markets in 2024
11.2 South America AI-In Patient Engagement Market Size Outlook by Country, 2021-2030
11.2.1 Brazil
11.2.2 Argentina
11.2.3 Rest of South America
11.3 South America AI-In Patient Engagement Market size Outlook by Segments, 2021-2030
By Delivery Type
Cloud-based
On-premise
By Technology
NLP (Natural Language Processing)
Chatbots
Computer Vision
By Functionality
Communication
Health Tracking & Insights
Billing & Payments
Administrative
Patient Education
Others
By Therapeutic Area
Health & Wellness
Chronic Disease Management
Others
By Application
Population Health Management
Outpatient Health Management
In-patient Health Management
Others
By End-user
Payers
Providers
Others

12 Middle East And Africa AI-In Patient Engagement Market Analysis And Outlook To 2030
12.1 Introduction to Middle East and Africa AI-In Patient Engagement Markets in 2024
12.2 Middle East and Africa AI-In Patient Engagement Market Size Outlook by Country, 2021-2030
12.2.1 Saudi Arabia
12.2.2 UAE
12.2.3 Oman
12.2.4 Rest of Middle East
12.2.5 Egypt
12.2.6 Nigeria
12.2.7 South Africa
12.2.8 Rest of Africa
12.3 Middle East and Africa AI-In Patient Engagement Market size Outlook by Segments, 2021-2030
By Delivery Type
Cloud-based
On-premise
By Technology
NLP (Natural Language Processing)
Chatbots
Computer Vision
By Functionality
Communication
Health Tracking & Insights
Billing & Payments
Administrative
Patient Education
Others
By Therapeutic Area
Health & Wellness
Chronic Disease Management
Others
By Application
Population Health Management
Outpatient Health Management
In-patient Health Management
Others
By End-user
Payers
Providers
Others

13 Company Profiles
13.1 Company Snapshot
13.2 SWOT Profiles
13.3 Products and Services
13.4 Recent Developments
13.5 Financial Profile
List of Companies
Ada Health
Aiva Health
American Well (Amwell)
Cerner Corp
Health Catalyst
IBM Watson Health
Infermedica
Lark Health
Nuance Communications
PatientBond
Roche
Welltok

14 Appendix
14.1 Customization Offerings
14.2 Subscription Services
14.3 Related Reports
14.4 Publisher Expertise

By Delivery Type
Cloud-based
On-premise
By Technology
NLP (Natural Language Processing)
Chatbots
Computer Vision
By Functionality
Communication
Health Tracking & Insights
Billing & Payments
Administrative
Patient Education
Others
By Therapeutic Area
Health & Wellness
Chronic Disease Management
Others
By Application
Population Health Management
Outpatient Health Management
In-patient Health Management
Others
By End-user
Payers
Providers
Others