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市場調查報告書
商品編碼
2130496

全球人工智慧市場規模、佔有率、趨勢和成長分析報告（病患管理方向，2026-2034年）

Global AI in Patient Management Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 237 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球人工智慧在患者管理領域的市場預計將從2025年的108.1億美元成長至2034年的609.6億美元，2026年至2034年的複合年成長率（CAGR）為21.19%。隨著醫療機構擴大利用人工智慧來改善患者協調、監測、溝通和個人化護理，該市場正蓬勃發展。人工智慧系統可以分析臨床和管理數據，以輔助患者優先排序、預約管理、風險識別和治療計劃制定。隨著醫療保健數據量的不斷成長以及提高營運效率的壓力日益增大，醫院、診所和數位醫療服務提供者正在積極採用智慧患者管理解決方案，這些方案既能提升患者體驗，又能為醫療專業人員提供支援。

關鍵成長要素包括醫療成本上升、患者數量增加、對個人化護理的需求以及電子健康記錄和連線健診數據的廣泛應用。人工智慧可以幫助識別有特殊需求的患者、自動化日常行政任務並支援臨床決策。預測分析還可以幫助醫療機構識別再入院率、治療風險和護理缺口。自然語言處理和機器學習的進步正在拓展人工智慧在患者溝通和整體醫療保健工作流程中的應用。

隨著醫療保健系統日益轉向預防性和數據驅動的照護模式，未來前景一片光明。人工智慧平台有望實現臨床記錄、患者提供的資訊、穿戴式裝置數據和即時監測數據的更深入整合。對負責任的人工智慧、資料隱私、互通性和監管合規性的日益重視可能會影響人工智慧的普及應用。隨著這項技術變得更加可靠並融入醫療保健工作流程，人工智慧在患者管理中的應用有望支持更早的干預、更合理的資源分配、更高的病人參與以及更個人化的醫療保健服務。

我們的報告經過精心撰寫，旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分，旨在幫助您全面了解市場環境：

市場概覽：本節提供清晰的市場概覽，包括關鍵定義、分類和當前產業趨勢。

市場動態：對影響市場成長的主要促進因素、限制因素、機會和挑戰進行詳細評估。這包括技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析：本部分根據產品類型、應用、最終用戶和地區將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和市場貢獻。

競爭格局：我們對主要市場參與企業進行了詳細評估，包括其市場定位、產品系列、策略舉措和財務表現。這有助於深入了解競爭趨勢和主要參與者所採取的策略。

市場預測：本部分提供基於數據的市場規模和成長模式預測，預測期為指定時期。它綜合考慮了歷史趨勢、當前市場狀況和定量分析，以識別預期的未來趨勢。

區域分析：我們全面檢驗主要地理區域的市場表現，識別高成長領域和區域趨勢，並深入了解每個區域特有的市場機會。

新趨勢與新機會：識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項：我們提供靈活的報告客製化服務，以滿足您的特定需求。這包括額外的細分、國家/地區特定分析、競爭對手分析、客製化資料點或專注於特定細分市場的洞察，從而更有效地支援您的策略決策。

目錄

第1章：引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場挑戰
  • 波特五力分析
  • PESTLE分析

第4章：全球人工智慧在病患管理領域的市場：依交付模式分類

  • 市場分析、洞察與預測
  • 基於雲端的
  • 現場

第5章：全球人工智慧在病患管理領域的市場：功能性

  • 市場分析、洞察與預測
  • 加強溝通
  • 病患教育
  • 聊天機器人和虛擬健康助手
  • 預測分析
  • 管理任務和營運效率改進
  • 其他

第6章：全球人工智慧在病患管理領域的市場：依技術分類

  • 市場分析、洞察與預測
  • 自然語言處理（NLP）（智慧援助、OCR（光學字元辨識）、自動編碼、文字分析、語音分析、分類與歸類）
  • 其他

第7章：全球人工智慧在病患管理領域的市場：依治療領域分類

  • 市場分析、洞察與預測
  • 健康與保健
  • 慢性病管理
  • 其他

第8章：全球人工智慧在病患管理領域的市場：依最終用途分類

  • 市場分析、洞察與預測
  • 醫療服務提供方
  • 醫療保健支付方
  • 其他（製藥公司、藥局）

第9章：全球人工智慧在病患管理領域的市場：按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 中國
    • 日本
    • 韓國
    • 印度
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第10章 競爭格局

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴（根據現有資訊）
  • 市場佔有率和市場定位分析（基於現有資訊）
  • 供應商情況（基於現有資訊）
  • 策略規劃

第11章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • MedAdvisor Solutions
    • Innovaccer Inc
    • EmpiRx Health LLC
    • IBM
    • Huma
    • MPulse Mobile
    • AllazoHealth
    • P360
    • Brand Engagement Network Inc
    • Oracle
    • Health Catalyst
    • Ada Health GmbH
    • Aiva Inc
    • Claritas Rx
    • AiCure
    • UST Global Inc
簡介目錄
Product Code: VMR112119359

The global AI in patient management market size is expected to reach USD 60.96 Billion in 2034 from USD 10.81 Billion in 2025, growing at a CAGR of 21.19% during 2026-2034.This market is gaining momentum as healthcare organizations increasingly use artificial intelligence to improve patient coordination, monitoring, communication, and personalized care. AI systems can analyze clinical and administrative information to support patient prioritization, appointment management, risk identification, and treatment planning. Growing healthcare data volumes and increasing pressure to improve operational efficiency are encouraging hospitals, clinics, and digital health providers to adopt intelligent patient-management solutions that can assist healthcare professionals while improving patient experiences.

Major growth drivers include rising healthcare costs, increasing patient volumes, demand for personalized care, and the growing availability of electronic health records and connected health data. AI can help identify patients requiring additional attention, automate routine administrative processes, and support clinical decision-making. Predictive analytics can also assist healthcare organizations in identifying potential readmissions, treatment risks, and care gaps. Advances in natural language processing and machine learning are expanding AI applications across patient communication and healthcare workflows.

Future prospects are strong as healthcare systems increasingly transition toward proactive and data-driven care models. AI-powered platforms are expected to become more capable of integrating clinical records, patient-generated information, wearable-device data, and real-time monitoring. Greater emphasis on responsible AI, data privacy, interoperability, and regulatory compliance will influence adoption. As technology becomes more reliable and integrated into healthcare workflows, AI in patient management could support earlier interventions, better resource allocation, improved patient engagement, and more personalized healthcare delivery.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Delivery Mode

  • Cloud-based
  • On-premise

By Functionality

  • Enhanced Communication
  • Patient Education
  • Chatbots and Virtual Health Assistants
  • Predictive Analytics
  • Administrative and Streamlined Operations
  • Others

By Technology

  • Natural Language Processing (NLP) (Smart Assistance, OCR (Optical Character Recognition), Auto Coding, Text Analytics, Speech Analytics, Classification and Categorization)
  • Others

By Therapeutic Area

  • Health & Wellness
  • Chronic Disease Management
  • Others

By End Use

  • Healthcare Providers
  • Healthcare Payers
  • Others (Pharmaceutical Companies, Pharmacy)

COMPANIES PROFILED

  • MedAdvisor Solutions, Innovaccer Inc., EmpiRx Health LLC., IBM, Huma, mPulse Mobile, AllazoHealth, P360, Brand Engagement Network Inc., Oracle, Health Catalyst, Ada Health GmbH, Aiva Inc., Claritas Rx, AiCure, UST Global Inc.

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL AI IN PATIENT MANAGEMENT MARKET: BY DELIVERY MODE 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Delivery Mode
  • 4.2. Cloud-based Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. On-premise Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN PATIENT MANAGEMENT MARKET: BY FUNCTIONALITY 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Functionality
  • 5.2. Enhanced Communication Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Patient Education Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Chatbots and Virtual Health Assistants Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Predictive Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Administrative and Streamlined Operations Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN PATIENT MANAGEMENT MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Technology
  • 6.2. Natural Language Processing (NLP) (Smart Assistance, OCR (Optical Character Recognition), Auto Coding, Text Analytics, Speech Analytics, Classification and Categorization) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN PATIENT MANAGEMENT MARKET: BY THERAPEUTIC AREA 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Therapeutic Area
  • 7.2. Health & Wellness Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Chronic Disease Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN PATIENT MANAGEMENT MARKET: BY END USE 2022-2034 (USD MN)

  • 8.1. Market Analysis, Insights and Forecast End Use
  • 8.2. Healthcare Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.3. Healthcare Payers Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.4. Others (Pharmaceutical Companies, Pharmacy) Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN PATIENT MANAGEMENT MARKET: BY REGION 2022-2034 (USD MN)

  • 9.1. Regional Outlook
  • 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.2.1 By Delivery Mode
    • 9.2.2 By Functionality
    • 9.2.3 By Technology
    • 9.2.4 By Therapeutic Area
    • 9.2.5 By End Use
    • 9.2.6 United States
    • 9.2.7 Canada
    • 9.2.8 Mexico
  • 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.3.1 By Delivery Mode
    • 9.3.2 By Functionality
    • 9.3.3 By Technology
    • 9.3.4 By Therapeutic Area
    • 9.3.5 By End Use
    • 9.3.6 United Kingdom
    • 9.3.7 France
    • 9.3.8 Germany
    • 9.3.9 Italy
    • 9.3.10 Spain
    • 9.3.11 Russia
    • 9.3.12 Rest Of Europe
  • 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.4.1 By Delivery Mode
    • 9.4.2 By Functionality
    • 9.4.3 By Technology
    • 9.4.4 By Therapeutic Area
    • 9.4.5 By End Use
    • 9.4.6 China
    • 9.4.7 Japan
    • 9.4.8 South Korea
    • 9.4.9 India
    • 9.4.10 Australia
    • 9.4.11 South East Asia
    • 9.4.12 Rest Of Asia Pacific
  • 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.5.1 By Delivery Mode
    • 9.5.2 By Functionality
    • 9.5.3 By Technology
    • 9.5.4 By Therapeutic Area
    • 9.5.5 By End Use
    • 9.5.6 Brazil
    • 9.5.7 Argentina
    • 9.5.8 Peru
    • 9.5.9 Chile
    • 9.5.10 Rest of Latin America
  • 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.6.1 By Delivery Mode
    • 9.6.2 By Functionality
    • 9.6.3 By Technology
    • 9.6.4 By Therapeutic Area
    • 9.6.5 By End Use
    • 9.6.6 Saudi Arabia
    • 9.6.7 UAE
    • 9.6.8 Israel
    • 9.6.9 South Africa
    • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

  • 10.1. Recent Developments
  • 10.2. Company Categorization
  • 10.3. Supply Chain & Channel Partners (based on availability)
  • 10.4. Market Share & Positioning Analysis (based on availability)
  • 10.5. Vendor Landscape (based on availability)
  • 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL AI IN PATIENT MANAGEMENT INDUSTRY

  • 11.1. Top Companies Market Share Analysis
  • 11.2. Company Profiles
    • 11.2.1 MedAdvisor Solutions
    • 11.2.2 Innovaccer Inc
    • 11.2.3 EmpiRx Health LLC
    • 11.2.4 IBM
    • 11.2.5 Huma
    • 11.2.6 MPulse Mobile
    • 11.2.7 AllazoHealth
    • 11.2.8 P360
    • 11.2.9 Brand Engagement Network Inc
    • 11.2.10 Oracle
    • 11.2.11 Health Catalyst
    • 11.2.12 Ada Health GmbH
    • 11.2.13 Aiva Inc
    • 11.2.14 Claritas Rx
    • 11.2.15 AiCure
    • 11.2.16 UST Global Inc