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市场调查报告书
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1908224

美国人工智慧医疗记录建立市场规模、份额和趋势分析报告：按部署类型、应用、最终用途、地区和细分市场预测（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个工作天内

价格

美国人工智慧医疗记录创建市场概览

2024 年美国人工智慧在医疗记录创建领域的市场规模估计为 3.9705 亿美元，预计到 2033 年将达到 29.5572 亿美元。

预计从 2025 年到 2033 年，该市场将以 25.09% 的年复合成长率（CAGR）成长。临床文件负担日益加重、医护人员短缺和职业倦怠日益严重，以及远端医疗和虚拟照护的扩展是推动市场成长的主要因素。

此外，电子健康记录 (EHR) 整合和工作流程自动化，以及环境人工智慧和生成式人工智慧技术的进步，也在推动市场成长。日益增长的临床文檔量仍然是现代医疗保健领域最严峻的营运挑战之一。医院、诊所和门诊中心要求医护人员记录各种病患讯息，包括病历、诊断结果、治疗方案、用药记录、护理协调总结以及合规相关事项。医生往往花在文件记录上的时间比直接患者照护的时间还要多，这造成了效率低下，阻碍了临床工作效率。例如，由史丹佛大学和美国医学会 (AMA)主导的一项全国性调查发现，到 2023 年，45.2% 的美国医生将报告至少出现一种职业倦怠症状，虽然低于 2021 年的 62.8%，但仍远高于许多其他职业。这些负担消耗了临床时间，降低了工作流程效率，从而推动了自动化需求。

此外，美国医学院协会 (AAMC) 预测，到 2036 年，美国可能面临 86,000 名医生的缺口。人员短缺和职业倦怠之间的相互作用，迫切需要对临床工作流程进行可持续的重新设计。人工智慧驱动的医疗转录系统对于这项转型至关重要，它们提供可扩展的支持，能够适应不同医疗环境中临床医生的需求。这些系统即时记录医病互动，透过先进的自然语言处理 (NLP) 技术解读医学术语，并产生与电子健康记录 (EHR) 平台无缝整合的结构化文件。

此外，远端医疗和虚拟护理的扩展正在推动市场成长。远端医疗和混合护理模式现已融入基层医疗、行为健康和慢性病管理等服务领域。在虚拟会诊期间，临床医生必须同时管理技术、维护医病关係并记录医疗记录，这增加了他们的认知和管理负担。人工智慧医疗记录系统可以从远端医疗平台撷取音频，产生结构化的医疗记录，并自动将其输入电子健康记录 (EHR)。这使得医疗专业人员能够专注于患者沟通和临床协调，而记录管理则在后台自动完成。例如，2023 年 7 月，Teladoc Health 扩大了与微软的合作，将一款由人工智慧驱动的临床记录工具整合到其远端医疗平台中。

目录

第一章调查方法和范围

第二章执行摘要

第三章美国医疗记录人工智慧市场变数、趋势和范围

  • 市场谱系展望
    • 母市场展望
    • 相关及附随市场展望
  • 市场动态
  • 使用案例研究结果
  • 美国人工智慧市场分析工具：医疗记录创建
    • 产业分析—波特五力分析
    • PESTEL 分析

第四章：美国医疗记录创建领域人工智慧市场按实施类型划分、估算和趋势分析

  • 美国人工智慧在医疗记录创建领域的市场：采用模式变化分析
  • 美国人工智慧在医疗记录创建领域的市场规模和趋势分析（按部署类型划分，2021-2033年）
  • 基于云端的
  • 本地部署

第五章美国人工智慧医疗记录创建市场应用、估算及趋势分析

  • 美国人工智慧在医疗记录创建领域的市场：使用变化分析
  • 美国人工智慧医疗记录创建市场规模及应用趋势（2021-2033年）
  • 一般文件创建
  • 专业文件
  • 紧急医疗护理
  • 远端医疗
  • 其他的

第六章：美国人工智慧在医疗记录创建领域的市场：按最终用途分類的预测和趋势分析

  • 美国人工智慧医疗记录创建市场：最终用途差异分析
  • 美国人工智慧在医疗记录创建领域的市场规模和趋势分析（按最终用途划分，2021-2033年）
  • 医院
  • 诊所
  • 门诊手术中心（ASC）
  • 长期照护机构
  • 其他的

第七章 竞争情势

  • 公司/竞争对手分类
  • 策略规划
  • 2024年商业市场分析
  • 公司简介/列表
    • Microsoft
    • Suki AI, Inc.
    • DeepScribe
    • COMMURE Incorporated
    • Tali AI
    • Ambience Healthcare
    • AQuity Solution（已被 IKS Health 收购）
    • 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)