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市場調查報告書

商品編碼

1573671

患者參與解決方案市場中的人工智慧、機會、成長促進因素、產業趨勢分析和預測，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個工作天內

價格

簡介目錄

全球人工智慧患者參與解決方案市場價值為50 億美元，預計2024 年至2032 年複合年成長率為20.1% 這種成長是由個性化醫療需求的不斷成長和數位健康解決方案的持續採用推動的。患者參與中的人工智慧使醫療保健提供者能夠提供量身定做的溝通、提醒和健康建議，所有這些都植根於患者的病史、偏好和生活方式。這種個人化不僅加強了患者和提供者之間的聯繫，而且還提高了對治療計劃的依從性，最終改善了健康結果。

此外，人工智慧驅動的個人化醫療保健與向基於價值的護理的更廣泛轉變產生了共鳴，強調患者的治療結果而不是服務量。因此，醫療保健組織正在轉向患者參與解決方案中的人工智慧，以滿足不斷成長的客製化護理需求，推動市場成長。

人工智慧技術的迅速發展使醫療保健提供者能夠提供更個人化、高效、主動的護理，從而顯著提高患者的參與度。人工智慧驅動的解決方案篩選大量患者資料，產生洞察，改善醫療服務，以滿足患者個別需求，進而提高治療效果和滿意度。由於人工智慧的進步，提供深度個人化的患者體驗現已成為現實。利用預測分析，人工智慧可以預見患者需求，提出量身定做的干涉措施，並提供客製化的健康教育。如此高度的個人化增強了患者的參與度，使護理更加針對性和可及性。

整個產業分為軟體類型、部署模式、應用、最終用途和地區。

按軟體類型分類的市場細分包括增強通訊、人工智慧驅動的聊天機器人、虛擬健康助理、預測分析工具、患者入口網站解決方案等。值得注意的是，到2023 年，增強型通訊細分市場將佔據31.4% 的市場佔有率。一致。這種高度的個人化不僅豐富了患者的參與度，而且鞏固了患者與提供者的關係。

在部署方面，市場將患者參與解決方案中的人工智慧分為基於雲端、基於網路和本地。基於雲端的細分市場處於領先地位，到 2023 年估值將達到 29 億美元。它們使醫療保健提供者能夠輕鬆調整患者參與策略。無論是為了適應不斷成長的患者群體還是添加新功能，雲端平台都提供了擴展的靈活性，而無需對基礎設施進行重大改造。

2023 年，北美患者參與解決方案市場的人工智慧估值為 22 億美元，預測分析期間複合年成長率為 19.4%。該地區非常重視研究和開發，為患者參與的突破性人工智慧解決方案鋪平了道路。此外，支持性的政府措施和醫療保健政策促進了人工智慧在患者參與中的採用，進一步推動了市場擴張。

產業生態系統分析
產業影響力
- 成長動力
  - 個人化醫療保健需求不斷成長
  - 人工智慧技術進步
  - 擴大採用數位健康解決方案
- 產業陷阱與挑戰
  - 實施成本高
成長潛力分析
監管環境
技術景觀
未來市場趨勢
產品管道分析
波特的分析
差距分析
PESTEL分析

第 4 章：競爭格局

介紹
主要市場參與者的競爭分析
公司矩陣分析
競爭定位矩陣
戰略儀表板

第 5 章：市場估計與預測：按軟體類型，2021 - 2032 年

主要趨勢
增強溝通
人工智慧驅動的聊天機器人
虛擬健康助理
預測分析工具
患者入口網站解決方案
其他軟體類型

第 6 章：市場估計與預測：按部署模式，2021 - 2032 年

主要趨勢
基於雲端
基於網路
本地

第 7 章：市場估計與預測：按應用分類，2021 - 2032

主要趨勢
患者溝通
病人監護
患者參與度分析
個人化護理
其他應用

第 8 章：市場估計與預測：按最終用途，2021 - 2032 年

主要趨勢
醫療設施
家庭醫療保健
付款人
其他最終用戶

第 9 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 英國
- 法國
- 西班牙
- 義大利
- 荷蘭
- 歐洲其他地區
亞太地區
- 中國
- 日本
- 印度
- 澳洲
- 韓國
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
中東和非洲
- 南非
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 中東和非洲其他地區

第 10 章：公司簡介

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

簡介目錄

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