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市場調查報告書
商品編碼
1908224

美國人工智慧醫療記錄建立市場規模、佔有率和趨勢分析報告：按部署類型、應用、最終用途、地區和細分市場預測（2025-2033 年）

U.S. AI In Medical Scribing Market Size, Share & Trends Analysis Report By Deployment Mode, By Application, By End-use, By Region, And Segment Forecasts, 2025 - 2033
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10個工作天內

價格

美國人工智慧醫療記錄創建市場概覽

2024 年美國人工智慧在醫療記錄創建領域的市場規模估計為 3.9705 億美元，預計到 2033 年將達到 29.5572 億美元。

預計從 2025 年到 2033 年，該市場將以 25.09% 的年複合成長率（CAGR）成長。臨床文件負擔日益加重、醫護人員短缺和職業倦怠日益嚴重，以及遠端醫療和虛擬照護的擴展是推動市場成長的主要因素。

此外，電子健康記錄 (EHR) 整合和工作流程自動化，以及環境人工智慧和生成式人工智慧技術的進步，也在推動市場成長。日益成長的臨床文檔量仍然是現代醫療保健領域最嚴峻的營運挑戰之一。醫院、診所和門診中心要求醫護人員記錄各種病患訊息，包括病歷、診斷結果、治療方案、用藥記錄、護理協調總結以及合規相關事項。醫生往往花在文件記錄上的時間比直接患者照護的時間還要多，這造成了效率低下，阻礙了臨床工作效率。例如，由史丹佛大學和美國醫學會 (AMA)主導的一項全國性調查發現，到 2023 年，45.2% 的美國醫生將報告至少出現一種職業倦怠症狀，雖然低於 2021 年的 62.8%，但仍遠高於許多其他職業。這些負擔消耗了臨床時間，降低了工作流程效率，從而推動了自動化需求。

此外，美國醫學院協會 (AAMC) 預測，到 2036 年，美國可能面臨 86,000 名醫生的缺口。人員短缺和職業倦怠之間的相互作用，迫切需要對臨床工作流程進行永續的重新設計。人工智慧驅動的醫療轉錄系統對於這項轉型至關重要，它們提供可擴展的支持，能夠適應不同醫療環境中臨床醫生的需求。這些系統即時記錄醫病互動，透過先進的自然語言處理 (NLP) 技術解讀醫學術語，並產生與電子健康記錄 (EHR) 平台無縫整合的結構化文件。

此外，遠端醫療和虛擬護理的擴展正在推動市場成長。遠端醫療和混合護理模式現已融入基層醫療、行為健康和慢性病管理等服務領域。在虛擬會診期間，臨床醫生必須同時管理技術、維護醫病關係並記錄醫療記錄，這增加了他們的認知和管理負擔。人工智慧醫療記錄系統可以從遠端醫療平台擷取音頻，產生結構化的醫療記錄，並自動將其輸入電子健康記錄 (EHR)。這使得醫療專業人員能夠專注於患者溝通和臨床協調，而記錄管理則在後台自動完成。例如，2023 年 7 月，Teladoc Health 擴大了與微軟的合作，將一款由人工智慧驅動的臨床記錄工具整合到其遠端醫療平台中。

目錄

第1章調查方法和範圍

第2章執行摘要

第3章美國醫療記錄人工智慧市場變數、趨勢和範圍

  • 市場譜系展望
    • 母市場展望
    • 相關及附隨市場展望
  • 市場動態
  • 使用案例研究結果
  • 美國人工智慧市場分析工具：醫療記錄創建
    • 產業分析—波特五力分析
    • PESTEL 分析

第4章：美國醫療記錄創建領域人工智慧市場按實施類型分類、估算和趨勢分析

  • 美國人工智慧在醫療記錄創建領域的市場：採用模式變化分析
  • 美國人工智慧在醫療記錄創建領域的市場規模和趨勢分析（按部署類型分類，2021-2033年）
  • 基於雲端的
  • 本地部署

第5章美國人工智慧醫療記錄創建市場應用、估算及趨勢分析

  • 美國人工智慧在醫療記錄創建領域的市場：使用變化分析
  • 美國人工智慧醫療記錄創建市場規模及應用趨勢（2021-2033年）
  • 一般文件創建
  • 專業文件
  • 緊急醫療護理
  • 遠端醫療
  • 其他

第6章：美國人工智慧在醫療記錄創建領域的市場：按最終用途分類的預測和趨勢分析

  • 美國人工智慧醫療記錄創建市場：最終用途差異分析
  • 美國人工智慧在醫療記錄創建領域的市場規模和趨勢分析（按最終用途分類，2021-2033年）
  • 醫院
  • 診所
  • 門診手術中心（ASC）
  • 長期照護機構
  • 其他

第7章 競爭情勢

  • 公司/競爭對手分類
  • 策略規劃
  • 2024年商業市場分析
  • 公司簡介/列表
    • Microsoft
    • Suki AI, Inc.
    • DeepScribe
    • COMMURE Incorporated
    • Tali AI
    • Ambience Healthcare
    • AQuity Solution（已被 IKS Health 收購）
    • Cliniko
    • Dorascribe
    • MedicalMine-CharmHealth
    • Eleos Health
    • Empathia AI, Inc.
    • Tebra
    • Heidi
    • Sunoh.ai（healow）
Product Code: GVR-4-68040-831-4

U.S. AI In Medical Scribing Market Summary

The U.S. AI in medical scribing market size was estimated at USD 397.05 million in 2024 and is projected to reach USD 2,955.72 million by 2033, growing at a CAGR of 25.09% from 2025 to 2033. The rising clinical documentation burden, increasing workforce shortages and burnout among clinicians, and the expansion of telehealth and virtual care are significant factors contributing to market growth.

In addition, EHR integration and workflow automation, and advancements in ambient and generative AI technologies are some other factors fueling market growth further. The increasing volume of clinical documentation remains one of the most significant operational challenges in modern healthcare. Hospitals, clinics, and ambulatory centers require clinicians to record extensive patient information, including medical histories, diagnostic findings, treatment plans, medication notes, care coordination summaries, and compliance-related entries. Physicians frequently spend more time on documentation than direct patient care, creating inefficiencies that disrupt clinical productivity. For instance, a national survey series led by Stanford and the AMA found that 45.2% of U.S. physicians reported at least one symptom of burnout in 2023, down from 62.8% in 2021 but still substantially higher than in many other occupations. These burdens consume clinical time and reduce workflow efficiency, driving the need for automation.

In addition, the Association of American Medical Colleges predicts the U.S. is likely to face a deficit of 86,000 physicians by 2036. The interplay between workforce shortages and burnout has created an urgent need for sustainable redesign of clinical workflows. AI-powered medical scribing systems are crucial to this transformation, providing scalable support that adapts to the needs of clinicians across diverse care settings. These systems capture patient-clinician interactions in real time, interpret medical terminology through advanced NLP, and generate structured documentation that integrates seamlessly with EHR platforms.

Moreover, the expansion of telehealth and virtual care further contributes to market growth. Telehealth and hybrid care models are now embedded in service lines such as primary care, behavioral health, and chronic disease management. During virtual visits, clinicians must manage technology, maintain rapport, and document care simultaneously, thereby increasing cognitive and administrative demands. AI medical scribes capture audio from telehealth platforms, generate structured notes, and automatically enter them into the EHR. This enables clinicians to focus on patient communication and clinical coordination while documentation is managed in the background. For instance, in July 2023, Teladoc Health expanded its partnership with Microsoft to integrate AI-powered clinical documentation tools into its telehealth platform.

U.S. AI In Medical Scribing Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the U.S. AI in medical scribing market report based on deployment mode, application, and end-use.

  • Deployment Mode Outlook (Revenue, USD Million, 2021 - 2033)
  • Cloud-based
  • On-premises
  • Application Outlook (Revenue, USD Million, 2021 - 2033)
  • General Documentation
  • Specialty Documentation
  • Emergency Care
  • Telehealth
  • Others
  • End-use Outlook (Revenue, USD Million, 2021 - 2033)
  • Hospitals
  • Clinics
  • Ambulatory Surgical Centers
  • Long-term Care Facilities
  • Others

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definitions
    • 1.2.1. Deployment Mode Segment
    • 1.2.2. Application Segment
    • 1.2.3. End Use
  • 1.3. Information analysis
    • 1.3.1. Market formulation & data visualization
  • 1.4. Data validation & publishing
  • 1.5. Information Procurement
    • 1.5.1. Primary Research
  • 1.6. Information or Data Analysis
  • 1.7. Market Formulation & Validation
  • 1.8. Market Model
  • 1.9. Total Market: CAGR Calculation
  • 1.10. Objectives
    • 1.10.1. Objective 1
    • 1.10.2. Objective 2

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Snapshot
  • 2.3. Competitive Insights Landscape

Chapter 3. U.S. AI in Medical Scribing Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
    • 3.1.1. Parent market outlook
    • 3.1.2. Related/ancillary market outlook.
  • 3.2. Market Dynamics
    • 3.2.1. Market driver analysis
    • 3.2.2. Market restraint analysis
    • 3.2.3. Market opportunity analysis
    • 3.2.4. Market challenges analysis
  • 3.3. Case Studies Insights
  • 3.4. U.S. AI in Medical Scribing Market Analysis Tools
    • 3.4.1. Industry Analysis - Porter's Five Forces Analysis
      • 3.4.1.1. Supplier power
      • 3.4.1.2. Buyer power
      • 3.4.1.3. Substitution threat
      • 3.4.1.4. Threat of new entrant
      • 3.4.1.5. Competitive rivalry
    • 3.4.2. PESTEL Analysis
      • 3.4.2.1. Political landscape
      • 3.4.2.2. Technological landscape
      • 3.4.2.3. Economic landscape
      • 3.4.2.4. Environmental Landscape
      • 3.4.2.5. Legal Landscape
      • 3.4.2.6. Social Landscape

Chapter 4. U.S. AI in Medical Scribing Market: Deployment Mode Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. U.S. AI in Medical Scribing Market Deployment Mode Movement Analysis
  • 4.3. U.S. AI in Medical Scribing Market Size & Trend Analysis, by Deployment Mode, 2021 to 2033 (USD Million)
  • 4.4. Cloud-based
    • 4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 4.5. On-premises
    • 4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 5. U.S. AI in Medical Scribing Market: Application Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. U.S. AI in Medical Scribing Market Application Movement Analysis
  • 5.3. U.S. AI in Medical Scribing Market Size & Trend Analysis, by Application, 2021 to 2033 (USD Million)
  • 5.4. General Documentation
    • 5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.5. Specialty Documentation
    • 5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.6. Emergency Care
    • 5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.7. Telehealth
    • 5.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.8. Others
    • 5.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 6. U.S. AI in Medical Scribing Market: End Use Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. U.S. AI in Medical Scribing Market End Use Movement Analysis
  • 6.3. U.S. AI in Medical Scribing Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
  • 6.4. Hospitals
    • 6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.5. Clinics
    • 6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.6. Ambulatory Surgical Centers (ASCs)
    • 6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.7. Long-Term Care Facilities
    • 6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.8. Others
    • 6.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 7. Competitive Landscape

  • 7.1. Company/Competition Categorization
  • 7.2. Strategy Mapping
  • 7.3. Company Market Position Analysis, 2024
  • 7.4. Company Profiles/Listing
    • 7.4.1. Microsoft
      • 7.4.1.1. Company overview
      • 7.4.1.2. Financial performance
      • 7.4.1.3. Product benchmarking
      • 7.4.1.4. Strategic initiatives
    • 7.4.2. Suki AI, Inc.
      • 7.4.2.1. Company overview
      • 7.4.2.2. Financial performance
      • 7.4.2.3. Product benchmarking
      • 7.4.2.4. Strategic initiatives
    • 7.4.3. DeepScribe
      • 7.4.3.1. Company overview
      • 7.4.3.2. Financial performance
      • 7.4.3.3. Product benchmarking
      • 7.4.3.4. Strategic initiatives
    • 7.4.4. COMMURE Incorporated
      • 7.4.4.1. Company overview
      • 7.4.4.2. Financial performance
      • 7.4.4.3. Product benchmarking
      • 7.4.4.4. Strategic initiatives
    • 7.4.5. Tali AI
      • 7.4.5.1. Company overview
      • 7.4.5.2. Financial performance
      • 7.4.5.3. Product benchmarking
      • 7.4.5.4. Strategic initiatives
    • 7.4.6. Ambience Healthcare
      • 7.4.6.1. Company overview
      • 7.4.6.2. Financial performance
      • 7.4.6.3. Product benchmarking
      • 7.4.6.4. Strategic initiatives
    • 7.4.7. AQuity Solution (acquired by IKS Health)
      • 7.4.7.1. Company overview
      • 7.4.7.2. Financial performance
      • 7.4.7.3. Product benchmarking
      • 7.4.7.4. Strategic initiatives
    • 7.4.8. Cliniko
      • 7.4.8.1. Company overview
      • 7.4.8.2. Financial performance
      • 7.4.8.3. Product benchmarking
      • 7.4.8.4. Strategic initiatives
    • 7.4.9. Dorascribe
      • 7.4.9.1. Company overview
      • 7.4.9.2. Financial performance
      • 7.4.9.3. Product benchmarking
      • 7.4.9.4. Strategic initiatives
    • 7.4.10. MedicalMine - CharmHealth
      • 7.4.10.1. Company overview
      • 7.4.10.2. Financial performance
      • 7.4.10.3. Product benchmarking
      • 7.4.10.4. Strategic initiatives
    • 7.4.11. Eleos Health
      • 7.4.11.1. Company overview
      • 7.4.11.2. Financial performance
      • 7.4.11.3. Product benchmarking
      • 7.4.11.4. Strategic initiatives
    • 7.4.12. Empathia AI, Inc.
      • 7.4.12.1. Company overview
      • 7.4.12.2. Financial performance
      • 7.4.12.3. Product benchmarking
      • 7.4.12.4. Strategic initiatives
    • 7.4.13. Tebra
      • 7.4.13.1. Company overview
      • 7.4.13.2. Financial performance
      • 7.4.13.3. Product benchmarking
      • 7.4.13.4. Strategic initiatives
    • 7.4.14. Heidi
      • 7.4.14.1. Company overview
      • 7.4.14.2. Financial performance
      • 7.4.14.3. Product benchmarking
      • 7.4.14.4. Strategic initiatives
    • 7.4.15. Sunoh.ai (healow)
      • 7.4.15.1. Company overview
      • 7.4.15.2. Financial performance
      • 7.4.15.3. Product benchmarking
      • 7.4.15.4. Strategic initiatives

List of Tables

  • Table 1 List of abbreviations
  • Table 2 U.S. AI in medical scribing market, by deployment mode, 2021 - 2033 (USD Million)
  • Table 3 U.S. AI in medical scribing market, by application, 2021 - 2033 (USD Million)
  • Table 4 U.S. AI in medical scribing market, by end use, 2021 - 2033 (USD Million)

List of Figures

  • Fig. 1 Market research process
  • Fig. 2 Market research process
  • Fig. 3 Data triangulation techniques
  • Fig. 4 Market formulation & validation
  • Fig. 5 U.S. AI in medical scribing market: Market outlook
  • Fig. 6 U.S. AI in medical scribing market: Segment outlook
  • Fig. 7 U.S. AI in medical scribing market: Competitive landscape outlook
  • Fig. 8 Parent market outlook
  • Fig. 9 U.S. AI in medical scribing market driver impact
  • Fig. 10 U.S. AI in medical scribing market restraint impact
  • Fig. 11 U.S. AI in medical scribing market: Deployment mode outlook and key takeaways
  • Fig. 12 U.S. AI in medical scribing market: Deployment mode movement analysis
  • Fig. 13 Cloud-based market estimates and forecasts,2021 - 2033 (USD Million)
  • Fig. 14 On-premises market estimates and forecasts, 2021 - 2033 (USD Million)
  • Fig. 15 U.S. AI in medical scribing market: Application outlook and key takeaways
  • Fig. 16 U.S. AI in medical scribing market: Application movement analysis
  • Fig. 17 General documentation market estimates and forecasts, 2021 - 2033 (USD Million)
  • Fig. 18 Specialty documentation market estimates and forecasts, 2021 - 2033 (USD Million)
  • Fig. 19 Emergency care market estimates and forecasts, 2021 - 2033 (USD Million)
  • Fig. 20 Telehealth market estimates and forecasts, 2021 - 2033 (USD Million)
  • Fig. 21 Others market estimates and forecasts, 2021 - 2033 (USD Million)
  • Fig. 22 U.S. AI in medical scribing market: End use outlook and key takeaways
  • Fig. 23 U.S. AI in medical scribing market: End use movement analysis
  • Fig. 24 Hospitals market estimates and forecasts, 2021 - 2033 (USD Million)
  • Fig. 25 Clinics market estimates and forecasts, 2021 - 2033 (USD Million)
  • Fig. 26 Ambulatory surgical centers (ASCs) market estimates and forecasts, 2021 - 2033 (USD Million)
  • Fig. 27 Long-term care facilities market estimates and forecasts, 2021 - 2033 (USD Million)
  • Fig. 28 Others market estimates and forecasts, 2021 - 2033 (USD Million)