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市场调查报告书

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1573671

患者参与解决方案市场中的人工智慧、机会、成长驱动因素、产业趋势分析和预测，2024-2032 年

AI In Patient Engagement Solutions Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年08月26日 | 出版商:

Global Market Insights Inc. | 英文 110 Pages | 商品交期: 2-3个工作天内

价格

简介目录

全球人工智慧患者参与解决方案市场价值为50 亿美元，预计2024 年至2032 年复合年增长率为20.1% 这种增长是由个性化医疗需求的不断增长和数位健康解决方案的持续采用推动的。患者参与中的人工智慧使医疗保健提供者能够提供量身定制的沟通、提醒和健康建议，所有这些都植根于患者的病史、偏好和生活方式。这种个人化不仅加强了患者和提供者之间的联繫，而且还提高了对治疗计划的依从性，最终改善了健康结果。

此外，人工智慧驱动的个人化医疗保健与向基于价值的护理的更广泛转变产生了共鸣，强调患者的治疗结果而不是服务量。因此，医疗保健组织正在转向患者参与解决方案中的人工智慧，以满足不断增长的客製化护理需求，推动市场成长。

人工智慧技术的迅速发展使医疗保健提供者能够提供更个人化、高效、主动的护理，从而显着提高患者的参与度。人工智慧驱动的解决方案筛选大量患者资料，产生洞察，改善医疗服务，以满足患者个别需求，进而提高治疗效果和满意度。由于人工智慧的进步，提供深度个人化的患者体验现已成为现实。利用预测分析，人工智慧可以预见患者需求，提出量身定制的干预措施，并提供客製化的健康教育。如此高度的个人化增强了患者的参与度，使护理更加针对性和可及性。

整个产业分为软体类型、部署模式、应用、最终用途和地区。

按软体类型分類的市场细分包括增强通讯、人工智慧驱动的聊天机器人、虚拟健康助理、预测分析工具、患者入口网站解决方案等。值得注意的是，到2023 年，增强型通讯细分市场将占据31.4% 的市场份额。一致。这种高度的个人化不仅丰富了患者的参与度，而且巩固了患者与提供者的关係。

在部署方面，市场将患者参与解决方案中的人工智慧分为基于云端、基于网路和本地。基于云端的细分市场处于领先地位，到 2023 年估值将达到 29 亿美元。它们使医疗保健提供者能够轻鬆调整患者参与策略。无论是为了适应不断增长的患者群体还是添加新功能，云端平台都提供了扩展的灵活性，而无需对基础设施进行重大改造。

2023 年，北美患者参与解决方案市场的人工智慧估值为 22 亿美元，预测分析期间复合年增长率为 19.4%。该地区非常重视研究和开发，为患者参与的突破性人工智慧解决方案铺平了道路。此外，支持性的政府措施和医疗保健政策促进了人工智慧在患者参与中的采用，进一步推动了市场扩张。

产业生态系统分析
产业影响力
- 成长动力
  - 个人化医疗保健需求不断增长
  - 人工智慧技术进步
  - 越来越多地采用数位健康解决方案
- 产业陷阱与挑战
  - 实施成本高
成长潜力分析
监管环境
技术景观
未来市场趋势
产品管道分析
波特的分析
差距分析
PESTEL分析

第 4 章：竞争格局

介绍
主要市场参与者的竞争分析
公司矩阵分析
竞争定位矩阵
战略仪表板

第 5 章：市场估计与预测：按软体类型，2021 - 2032 年

主要趋势
增强沟通
人工智慧驱动的聊天机器人
虚拟健康助理
预测分析工具
患者入口网站解决方案
其他软体类型

第 6 章：市场估计与预测：按部署模式，2021 - 2032 年

主要趋势
基于云端
基于网路
本地

第 7 章：市场估计与预测：按应用分类，2021 - 2032

主要趋势
患者沟通
病人监护
患者参与度分析
个人化护理
其他应用

第 8 章：市场估计与预测：按最终用途，2021 - 2032 年

主要趋势
医疗设施
家庭医疗保健
付款人
其他最终用户

第 9 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 德国
- 英国
- 法国
- 西班牙
- 义大利
- 荷兰
- 欧洲其他地区
亚太地区
- 中国
- 日本
- 印度
- 澳洲
- 韩国
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地区
中东和非洲
- 南非
- 沙乌地阿拉伯
- 阿联酋
- 中东和非洲其他地区

第 10 章：公司简介

Epic Systems Corporation
GE HealthCare
Health Catalyst
IBM
Luma Health Inc.
Microsoft
Nuance Communications, Inc.
Oracle
Salesforce, Inc.
Veradigm LLC

简介目录

Product Code: 11000

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.

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