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市场调查报告书
商品编码
1790428

美国临床决策支援系统市场规模、份额和趋势分析报告：按产品、应用、交付类型、组件和细分市场预测，2025 年至 2030 年

U.S. Clinical Decision Support Systems Market Size, Share & Trends Analysis Report By Product (Standalone CDSS, Integrated CPOE With CDSS), By Application, By Delivery Mode, By Component, And Segment Forecasts, 2025 - 2030
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

市场规模和趋势

预计 2024 年美国临床决策支援系统市场规模将达到 21.4 亿美元，到 2030 年将达到 34 亿美元，2025 年至 2030 年的复合年增长率为 8.17%。

美国医院和执业医师广泛采用电子健康记录(EHR) 是市场成长的主要驱动力。据 Simbo AI 称，截至 2021 年，约有 88% 的美国医生已采用电子健康记录系统，采用率较之前的 42% 增长了一倍多。这为无缝整合 CDSS 工具铺平了道路，这些工具可在护理点提供即时警报、治疗建议和药物交互作用检查。此外，《高科技法案》(HITECH Act)、《有意义的使用奖励》(Meaningful Use Incentives )、美国卫生与公众服务部 (HHS) 认证计划以及《21 世纪治愈法案》(21st Century Cures Act) 等倡议的强有力政策支持，营造了鼓励采用 CDSS、确保互通性并鼓励创新的法规环境。

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人工智慧 (AI) 和机器学习 (ML) 技术正在透过提供预测分析、模式识别和个人化推荐等增强功能，彻底改变临床决策支援系统 (CDSS) 市场。基于 AI 的 CDSS 可以处理大量数据、识别趋势、预测结果并推荐最佳治疗方法。例如，2022 年 12 月，德克萨斯大学奥斯汀分校戴尔医学院的研究人员开发了一款基于 AI 的 CDSS，旨在帮助临床医生与患者进行营养对话，并支持有关饮食改善的决策。

个人化医疗正成为日益增长的趋势，而CDSS在其中发挥关键作用。为了製定个人化治疗方案，这些系统会评估患者讯息，例如基因数据和病历。透过提供个人化建议，CDSS可以改善治疗效果，并最大限度地降低副作用的发生率，从而促进市场成长。

新冠疫情显着推动了美国临床决策支援系统 (CDSS) 市场的成长，并加速了这些工具的广泛应用。 CDSS 透过协助即时临床诊断和 COVID-19 病例分诊，在支持患者照护和资源管理方面发挥了至关重要的作用。线上医疗服务的全国性扩张进一步加速了这一趋势。市场领导者推出了专门的 CDSS 解决方案来管理 COVID-19 数据和洞察。例如，Epocrates 在 2022 年 5 月推出了一款专注于长期 COVID 的先进工具，并融入了最新的临床指南。这种应用的提升是疫情期间市场成长的关键因素。

目录

第一章调查方法与范围

第二章执行摘要

第三章市场变数、趋势和范围

  • 市场体系展望
    • 母市场展望
    • 相关/辅助市场展望
  • 市场趋势与展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 市场机会分析
    • 市场问题分析
  • 美国临床决策支援系统市场分析工具：PESTEL
    • 政治与法律
    • 经济与社会
    • 科技
  • 美国临床决策支援系统市场分析工具：波特五力分析

第四章：美国临床决策支援系统市场产品、估价与趋势分析

  • 美国临床决策支援系统市场：产品差异分析
  • 美国临床决策支援系统市场：产品细分仪表板
  • 2024 年和 2030 年产品趋势和市场占有率分析
  • 按产品
  • 独立CDSS
  • CPOE与CDSS集成
  • CDSS 和整合 EHR
  • 整合 CPOE 和 HER 的 CDSS

第五章美国临床决策支援系统市场的应用、估计与趋势分析

  • 美国临床决策支援系统市场：应用差异分析
  • 美国临床决策支援系统市场：应用细分仪表板
  • 2024 年和 2030 年应用趋势和市场占有率分析
  • 按用途
  • 药物交互作用
  • 药物过敏警告
  • 临床考虑
  • 临床指引
  • 药物管理支持
  • 其他的

第六章：美国临床决策支援系统市场（按产品类型、估计和趋势分析）

  • 美国临床决策支援系统市场：交付形式变化分析
  • 美国临床决策支援系统市场：交付类型细分仪表板
  • 2024 年和 2030 年配送趋势和市场占有率分析
  • 按规定形式
  • 网路为基础的系统
  • 云端基础的系统
  • 本地系统

第七章美国临床决策支援系统市场组成部分、估值和趋势分析

  • 美国临床决策支援系统市场：组件变异分析
  • 美国临床决策支援系统市场：组件细分仪表板
  • 2024 年和 2030 年零件趋势和市场占有率分析
  • 按组件
  • 硬体
  • 软体
  • 服务

第八章 竞争态势

  • 公司分类
  • 2024年企业市场分析
  • 企业市场占有率分析
  • 公司简介/上市公司
    • McKesson Corporation
    • Cerner Corporation（现为 Oracle Health）
    • Siemens Healthineers GmbH
    • Allscripts Healthcare, LLC（现为 Veradigm）
    • athenahealth, Inc.
    • NextGen Healthcare Inc.
    • IBM Corporation
    • GE HealthCare
    • Nordic
    • BeeKeeperAI
Product Code: GVR-4-68040-671-6

Market Size & Trends:

The U.S. clinical decision support systems market size was valued at USD 2.14 billion in 2024 and is projected to reach USD 3.40 billion by 2030, growing at a CAGR of 8.17% from 2025 to 2030. The widespread adoption of Electronic Health Records (EHRs) across U.S. hospitals and office-based physicians is significantly driving the market growth. According to Simbo AI, as of 2021, approximately 88% of office-based physicians in the U.S. had implemented an Electronic Health Record (EHR) system, more than doubling the adoption rate from just 42% in previous years, has paved the way for seamless integration of CDSS tools that offer real-time alerts, treatment recommendations, and drug interaction checks at the point of care. Moreover, strong policy support through initiatives like the HITECH Act, Meaningful Use incentives, certification programs from HHS, and provisions in the 21st Century Cures Act created a regulatory environment that incentivizes CDSS adoption and ensures interoperability while encouraging innovation.

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Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the clinical decision support systems (CDSS) market by providing enhanced features like predictive analytics, pattern recognition, and personalized recommendations. AI-powered CDSS processes large volumes of data, identifies trends, forecasts outcomes, and recommends the best treatment options. For instance, in December 2022, researchers at the University of Texas at Austin's Dell Medical School developed an AI-based CDSS designed to help clinicians engage patients in conversations about nutrition and support decision-making regarding dietary improvements.

Personalized medicine is on the rise, with CDSSs playing a key role. To create customized treatment plans, these systems evaluate patient information, such as genetic data and medical histories. By delivering personalized recommendations, CDSSs improve treatment outcomes and minimize the chances of adverse effects, contributing to the market's growth.

The COVID-19 pandemic has significantly driven the growth of the U.S. clinical decision support systems market, driving wider adoption of these tools. CDSSs were crucial in supporting patient care and resource management by aiding real-time clinical diagnosis and triage of COVID-19 cases. The expansion of online healthcare services across the country further accelerated this trend. Market leaders introduced specialized CDSS solutions for managing COVID-19 data and insights; for instance, in May 2022, Epocrates launched an advanced tool focused on long-term COVID, incorporating the latest clinical guidelines. This increased adoption has been a key factor in market growth during the pandemic.

U.S. Clinical Decision Support Systems Market Report Segmentation

This report forecasts revenue growth at the country level and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the U.S. clinical decision support systems market report based on product, application, delivery mode, and component:

  • Product Outlook (Revenue, USD Million, 2018 - 2030)
  • Standalone CDSS
  • Integrated CPOE with CDSS
  • Integrated EHR with CDSS
  • Integrated CDSS with CPOE and EHR
  • Application Outlook (Revenue, USD Million, 2018 - 2030)
  • Drug-Drug Interactions
  • Drug Allergy Alerts
  • Clinical Reminders
  • Clinical Guidelines
  • Drug Dosing Support
  • Others
  • Deliver Mode Outlook (Revenue, USD Million, 2018 - 2030)
  • Web-Based Systems
  • Cloud-Based Systems
  • On-Premise Systems
  • Component Outlook (Revenue, USD Million, 2018 - 2030)
  • Hardware
  • Software
  • Services

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
    • 1.1.1. Segment Definitions
  • 1.2. Estimates and Forecast Timeline
  • 1.3. Research Methodology
  • 1.4. Information Procurement
    • 1.4.1. Purchased Database
    • 1.4.2. GVR's Internal Database
    • 1.4.3. Secondary Sources
    • 1.4.4. Primary Research
    • 1.4.5. Details of Primary Research
    • 1.4.6. Research Assumption
  • 1.5. Information or Data Analysis
    • 1.5.1. Data Analysis Models
  • 1.6. Market Formulation & Data Visualization
  • 1.7. Model Details
    • 1.7.1. Commodity Flow Analysis
  • 1.8. Objectives
    • 1.8.1. Objective - 1
    • 1.8.2. Objective - 2
    • 1.8.3. Objective - 3
  • 1.9. List of Secondary Sources
  • 1.10. List of Secondary Sources

Chapter 2. Executive Summary

  • 2.1. U.S. Clinical Decision Support Systems Market
    • 2.1.1. Market Snapshot
    • 2.1.2. Segment Snapshot
      • 2.1.2.1. Product segment outlook
      • 2.1.2.2. Application segment outlook
      • 2.1.2.3. Delivery Mode segment outlook
      • 2.1.2.4. Component segment outlook
    • 2.1.3. Competitive Landscape Snapshot

Chapter 3. 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 Trends and Outlook
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
      • 3.3.1.1. Rising Adoption of Electronic Health Records (EHRs)
      • 3.3.1.2. Increasing Demand for Quality Care and Patient Safety
      • 3.3.1.3. Advancements in AI and Machine Learning Technologies
      • 3.3.1.4. Supportive Government Initiatives and Healthcare IT Policies
      • 3.3.1.5. Integration of CDSS with Clinical Workflows
      • 3.3.1.6. Need to Reduce Medication Errors and Diagnostic Inaccuracies
      • 3.3.1.7. Emergence of Cloud-Based CDSS Solutions
    • 3.3.2. Market Restraint Analysis
      • 3.3.2.1. High implementation and integration costs
      • 3.3.2.2. Data privacy and security concerns
      • 3.3.2.3. Interoperability challenges with legacy systems
    • 3.3.3. Market Opportunity Analysis
    • 3.3.4. Market Challenges Analysis
  • 3.4. U.S. Clinical Decision Support Systems Market Analysis Tools: PESTEL
    • 3.4.1. Political & Legal
    • 3.4.2. Economic & Social
    • 3.4.3. Technology
  • 3.5. U.S. Clinical Decision Support Systems Market Analysis Tools: Porter's

Chapter 4. U.S. Clinical Decision Support Systems Market: Product Estimates & Trend Analysis

  • 4.1. U.S. Clinical Decision Support Systems Market: Product Movement Analysis
  • 4.2. U.S. Clinical Decision Support Systems Market: Product Segment Dashboard
  • 4.3. Product Movement & Market Share Analysis, 2024 & 2030
  • 4.4. U.S. Clinical Decision Support Systems Market Estimates & Forecast, by Product
  • 4.5. Standalone CDSS
    • 4.5.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 4.6. Integrated CPOE with CDSS
    • 4.6.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 4.7. Integrated EHR with CDSS
    • 4.7.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 4.8. Integrated CDSS with CPOE and HER
    • 4.8.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)

Chapter 5. U.S. Clinical Decision Support Systems Market: Application Estimates & Trend Analysis

  • 5.1. U.S. Clinical Decision Support Systems Market: Application Movement Analysis
  • 5.2. U.S. Clinical Decision Support Systems Market: Application Segment Dashboard
  • 5.3. Application Movement & Market Share Analysis, 2024 & 2030
  • 5.4. U.S. Clinical Decision Support Systems Market Estimates & Forecast, by Application
  • 5.5. Drug-Drug Interactions
    • 5.5.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 5.6. Drug Allergy Alerts
    • 5.6.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 5.7. Clinical Reminders
    • 5.7.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 5.8. Clinical Guidelines
    • 5.8.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 5.9. Drug Dosing Support
    • 5.9.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 5.10. Others
    • 5.10.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)

Chapter 6. U.S. Clinical Decision Support Systems Market: Delivery Mode Estimates & Trend Analysis

  • 6.1. U.S. Clinical Decision Support Systems Market: Delivery Mode Movement Analysis
  • 6.2. U.S. Clinical Decision Support Systems Market: Delivery Mode Segment Dashboard
  • 6.3. Delivery Mode Movement & Market Share Analysis, 2024 & 2030
  • 6.4. U.S. Clinical Decision Support Systems Market Estimates & Forecast, by Delivery Mode
  • 6.5. Web-Based Systems
    • 6.5.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 6.6. Cloud-Based Systems
    • 6.6.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 6.7. On-Premise Systems
    • 6.7.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)

Chapter 7. U.S. Clinical Decision Support Systems Market: Component Estimates & Trend Analysis

  • 7.1. U.S. Clinical Decision Support Systems Market: Component Movement Analysis
  • 7.2. U.S. Clinical Decision Support Systems Market: Component Segment Dashboard
  • 7.3. Component Movement & Market Share Analysis, 2024 & 2030
  • 7.4. U.S. Clinical Decision Support Systems Market Estimates & Forecast, by Component
  • 7.5. Hardware
    • 7.5.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 7.6. Software
    • 7.6.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)
  • 7.7. Services
    • 7.7.1. Market Estimates & Forecast, 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Company Categorization
  • 8.2. Company Market Position Analysis, 2024
  • 8.3. Company Share Analysis
  • 8.4. Company Profiles/Listing
    • 8.4.1. McKesson Corporation
      • 8.4.1.1. Participant's Overview
      • 8.4.1.2. Financial Performance
      • 8.4.1.3. Product Benchmarking
      • 8.4.1.4. Recent Developments
    • 8.4.2. Cerner Corporation (now Oracle Health)
      • 8.4.2.1. Participant's Overview
      • 8.4.2.2. Financial Performance
      • 8.4.2.3. Product Benchmarking
      • 8.4.2.4. Recent Developments
    • 8.4.3. Siemens Healthineers GmbH
      • 8.4.3.1. Participant's Overview
      • 8.4.3.2. Financial Performance
      • 8.4.3.3. Product Benchmarking
      • 8.4.3.4. Recent Developments
    • 8.4.4. Allscripts Healthcare, LLC (now Veradigm)
      • 8.4.4.1. Participant's Overview
      • 8.4.4.2. Financial Performance
      • 8.4.4.3. Product Benchmarking
      • 8.4.4.4. Recent Developments
    • 8.4.5. athenahealth, Inc.
      • 8.4.5.1. Participant's Overview
      • 8.4.5.2. Financial Performance
      • 8.4.5.3. Product Benchmarking
      • 8.4.5.4. Recent Developments
    • 8.4.6. NextGen Healthcare Inc.
      • 8.4.6.1. Participant's Overview
      • 8.4.6.2. Financial Performance
      • 8.4.6.3. Product Benchmarking
      • 8.4.6.4. Recent Developments
    • 8.4.7. IBM Corporation
      • 8.4.7.1. Participant's Overview
      • 8.4.7.2. Financial Performance
      • 8.4.7.3. Product Benchmarking
      • 8.4.7.4. Recent Developments
    • 8.4.8. GE HealthCare
      • 8.4.8.1. Participant's Overview
      • 8.4.8.2. Financial Performance
      • 8.4.8.3. Product Benchmarking
      • 8.4.8.4. Recent Developments
    • 8.4.9. Nordic
      • 8.4.9.1. Participant's Overview
      • 8.4.9.2. Financial Performance
      • 8.4.9.3. Product Benchmarking
      • 8.4.9.4. Recent Developments
    • 8.4.10. BeeKeeperAI
      • 8.4.10.1. Participant's Overview
      • 8.4.10.2. Financial Performance
      • 8.4.10.3. Product Benchmarking
      • 8.4.10.4. Recent Developments

List of Tables

  • Table 1. List of secondary sources
  • Table 2. List of abbreviations
  • Table 3. U.S. clinical decision support systems market revenue estimates and forecast, by product, 2018 - 2030 (USD Million)
  • Table 4. U.S. clinical decision support systems market revenue estimates and forecast, by application, 2018 - 2030 (USD Million)
  • Table 5. U.S. clinical decision support systems market revenue estimates and forecast, by delivery mode, 2018 - 2030 (USD Million)
  • Table 6. U.S. clinical decision support systems market revenue estimates and forecast, by component, 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 U.S. Clinical Decision Support Systems Market Segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Value chain-based sizing & forecasting
  • Fig. 7 QFD modelling for Market share assessment
  • Fig. 8 Market formulation & validation
  • Fig. 9 Market snapshot
  • Fig. 10 Type segment outlook
  • Fig. 11 Application segment outlook
  • Fig. 12 Distribution Channel segment outlook
  • Fig. 13 Competitive landscape
  • Fig. 14 U.S. Clinical Decision Support Systems Market: Market dynamics
  • Fig. 15 U.S. Clinical Decision Support Systems Market: Porter's analysis
  • Fig. 16 U.S. Clinical Decision Support Systems Market: PESTLE analysis
  • Fig. 17 U.S. Clinical Decision Support Systems Market: Product segment dashboard
  • Fig. 18 U.S. Clinical Decision Support Systems Market: Product movement share analysis
  • Fig. 19 Standalone CDSS Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 20 Integrated CPOE with CDSS Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 21 Integrated EHR with CDSS Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 22 Integrated CDSS with CPOE and EHR Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 23 U.S. Clinical Decision Support Systems Market: Application segment dashboard
  • Fig. 24 U.S. Clinical Decision Support Systems Market: Application Movement Share Analysis
  • Fig. 25 Drug-Drug Interactions Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 26 Drug Allergy Alerts Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 27 Clinical Reminders Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 28 Clinical Guidelines Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 29 Drug Dosing Support Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 30 Others Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 31 U.S. Clinical Decision Support Systems Market: Delivery Mode Segment Dashboard
  • Fig. 32 U.S. Clinical Decision Support Systems Market: Delivery Mode Movement Share Analysis
  • Fig. 33 Web-Based Systems Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 34 Cloud-Based Systems Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 35 On-Premise Systems Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 36 U.S. Clinical Decision Support Systems Market: Component Segment Dashboard
  • Fig. 37 U.S. Clinical Decision Support Systems Market: Component Movement Share Analysis
  • Fig. 38 Hardware Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 39 Software Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 40 Services Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 41 Company categorization
  • Fig. 42 Company Market position analysis, 2024
  • Fig. 43 Strategic framework