환자 참여 솔루션 분야 AI 시장 : 기회, 성장 동인, 산업 동향 분석 및 예측(2024-2032년)

The Global AI in Patient Engagement Solutions Market was valued at USD 5 billion and is projected to grow at a CAGR of 20.1% from 2024 to 2032. This growth is fueled by an increasing demand for personalized healthcare and a rising adoption of digital health solutions. AI in patient engagement empowers healthcare providers to deliver tailored communications, reminders, and health recommendations, all rooted in a patient's medical history, preferences, and lifestyle. Such personalization not only strengthens the bond between patients and providers but also boosts adherence to treatment plans, culminating in improved health outcomes.

Moreover, AI-driven personalized healthcare resonates with the broader transition towards value-based care, emphasizing patient outcomes over service volume. Consequently, healthcare organizations are turning to AI in patient engagement solutions to cater to the escalating demand for customized care, propelling the market growth.

The swift advancement of AI technologies has empowered healthcare providers to deliver care that is not only more personalized but also efficient and proactive, markedly boosting patient engagement. AI-driven solutions sift through extensive patient data, yielding insights that refine healthcare delivery to meet individual patient needs, thereby enhancing outcomes and satisfaction. Thanks to AI advancements, delivering deeply personalized patient experiences is now a reality. Leveraging predictive analytics, AI can foresee patient needs, suggest tailored interventions, and offer customized health education. Such a high degree of personalization amplifies patient engagement, rendering care more pertinent and accessible.

The overall industry is divided into software type, deployment mode, application, end-use, and region.

Market segmentation by software type includes enhanced communication, AI-driven chatbots, virtual health assistants, predictive analytics tools, patient portal solutions, and more. Notably, the enhanced communication segment dominated with a 31.4% market share in 2023. AI-driven communication tools empower healthcare providers to customize interactions, aligning them with individual patient needs, preferences, and behaviors. This heightened personalization not only enriches patient engagement but also solidifies the patient-provider relationship.

Deployment-wise, the market categorizes AI in patient engagement solutions into cloud-based, web-based, and on-premises. The cloud-based segment led the pack, boasting a valuation of USD 2.9 billion in 2023. Cloud-based AI solutions stand out for their unmatched scalability. They empower healthcare providers to effortlessly adjust their patient engagement strategies. Whether it is for accommodating a burgeoning patient base or adding new features, cloud platforms offer the agility to scale without major infrastructure overhauls.

North America accounted for a valuation of USD 2.2 billion in 2023 in the AI in patient engagement solutions market, with projections indicating a CAGR of 19.4% during the analysis period. The region is marked by a robust emphasis on research and development, paving the way for groundbreaking AI solutions in patient engagement. Furthermore, supportive government initiatives and healthcare policies bolster the adoption of AI in patient engagement, further fueling market expansion.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market scope and definitions
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates and calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Rising demand for personalized healthcare
    • 3.2.1.2 Technological advancements in AI
    • 3.2.1.3 Growing adoption of digital health solutions
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 High implementation costs
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
• 3.5 Technological landscape
• 3.6 Future market trends
• 3.7 Product pipeline analysis
• 3.8 Porter's analysis
• 3.9 Gap analysis
• 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Competitive analysis of major market players
• 4.3 Company matrix analysis
• 4.4 Competitive positioning matrix
• 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Software Type, 2021 - 2032 ($ Mn)

• 5.1 Key trends
• 5.2 Enhanced communication
• 5.3 AI-powered chatbots
• 5.4 Virtual health assistants
• 5.5 Predictive analytics tools
• 5.6 Patient portal solutions
• 5.7 Other software types

Chapter 6 Market Estimates and Forecast, By Deployment Mode, 2021 - 2032 ($ Mn)

• 6.1 Key trends
• 6.2 Cloud-based
• 6.3 Web-based
• 6.4 On-premises

Chapter 7 Market Estimates and Forecast, By Application, 2021 - 2032 ($ Mn)

• 7.1 Key trends
• 7.2 Patient communication
• 7.3 Patient monitoring
• 7.4 Patient engagement analytics
• 7.5 Personalized care
• 7.6 Other applications

Chapter 8 Market Estimates and Forecast, By End-Use, 2021 - 2032 ($ Mn)

• 8.1 Key trends
• 8.2 Healthcare facilities
• 8.3 Home healthcare
• 8.4 Payors
• 8.5 Other end-users

Chapter 9 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Europe
  • 9.3.1 Germany
  • 9.3.2 UK
  • 9.3.3 France
  • 9.3.4 Spain
  • 9.3.5 Italy
  • 9.3.6 Netherlands
  • 9.3.7 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 Japan
  • 9.4.3 India
  • 9.4.4 Australia
  • 9.4.5 South Korea
  • 9.4.6 Rest of Asia Pacific
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Argentina
  • 9.5.4 Rest of Latin America
• 9.6 Middle East and Africa
  • 9.6.1 South Africa
  • 9.6.2 Saudi Arabia
  • 9.6.3 UAE
  • 9.6.4 Rest of Middle East and Africa

Chapter 10 Company Profiles

• 10.1 Epic Systems Corporation
• 10.2 GE HealthCare
• 10.3 Health Catalyst
• 10.4 IBM
• 10.5 Luma Health Inc.
• 10.6 Microsoft
• 10.7 Nuance Communications, Inc.
• 10.8 Oracle
• 10.9 Salesforce, Inc.
• 10.10 Veradigm LLC