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市場調查報告書
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1790428

美國臨床決策支援系統市場規模、佔有率和趨勢分析報告：按產品、應用、交付類型、組件和細分市場預測，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個工作天內

價格

市場規模和趨勢

預計 2024 年美國臨床決策支援系統市場規模將達到 21.4 億美元，到 2030 年將達到 34 億美元，2025 年至 2030 年的複合年成長率為 8.17%。

美國醫院和執業醫師廣泛採用電子健康記錄(EHR) 是市場成長的主要驅動力。據 Simbo AI 稱，截至 2021 年，約有 88% 的美國醫生已採用電子健康記錄系統，採用率較之前的 42% 成長了一倍多。這為無縫整合 CDSS 工具鋪平了道路，這些工具可在照護端提供即時警報、治療建議和藥物交互作用檢查。此外，《高科技法案》(HITECH Act)、《有意義的使用獎勵》(Meaningful Use Incentives )、美國衛生與公眾服務部 (HHS) 認證計劃以及《21 世紀治愈法案》(21st Century Cures Act) 等舉措的強力政策支持，營造了鼓勵採用 CDSS、確保互通性並鼓勵創新的法規環境。

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人工智慧 (AI) 和機器學習 (ML) 技術正在透過提供預測分析、模式識別和個人化推薦等增強功能，徹底改變臨床決策支援系統 (CDSS) 市場。基於 AI 的 CDSS 可以處理大量數據、識別趨勢、預測結果並推薦最佳治療方法。例如，2022 年 12 月，德克薩斯大學奧斯汀分校戴爾醫學院的研究人員開發了一款基於 AI 的 CDSS，旨在幫助臨床醫生與患者進行營養對話，並支持有關飲食改善的決策。

個人化醫療正成為日益成長的趨勢，而CDSS在其中發揮關鍵作用。為了製定個人化治療方案，這些系統會評估患者訊息，例如基因數據和病歷。透過提供個人化建議，CDSS可以改善治療效果，並最大限度地降低副作用的發生率，從而促進市場成長。

新冠疫情顯著推動了美國臨床決策支援系統 (CDSS) 市場的成長，並加速了這些工具的廣泛應用。 CDSS 透過協助即時臨床診斷和 COVID-19 病例分診，在支持患者照護和資源管理方面發揮了至關重要的作用。線上醫療服務的全國性擴張進一步加速了這一趨勢。市場領導者推出了專門的 CDSS 解決方案來管理 COVID-19 數據和洞察。例如，Epocrates 在 2022 年 5 月推出了一款專注於長期 COVID 的先進工具，並融入了最新的臨床指南。這種應用的提升是疫情期間市場成長的關鍵因素。

目錄

第1章調查方法與範圍

第2章執行摘要

第3章市場變數、趨勢和範圍

  • 市場體系展望
    • 母市場展望
    • 相關/輔助市場展望
  • 市場趨勢與展望
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 市場機會分析
    • 市場問題分析
  • 美國臨床決策支援系統市場分析工具：PESTEL
    • 政治與法律
    • 經濟與社會
    • 科技
  • 美國臨床決策支援系統市場分析工具：波特五力分析

第4章：美國臨床決策支援系統市場產品、估價與趨勢分析

  • 美國臨床決策支援系統市場：產品差異分析
  • 美國臨床決策支援系統市場：產品細分儀表板
  • 2024 年和 2030 年產品趨勢和市場佔有率分析
  • 按產品
  • 獨立CDSS
  • CPOE與CDSS整合
  • CDSS 和整合 EHR
  • 整合 CPOE 和 HER 的 CDSS

第5章美國臨床決策支援系統市場的應用、估計與趨勢分析

  • 美國臨床決策支援系統市場：應用差異分析
  • 美國臨床決策支援系統市場：應用細分儀表板
  • 2024 年和 2030 年應用趨勢和市場佔有率分析
  • 按用途
  • 藥物交互作用
  • 藥物過敏警告
  • 臨床考慮
  • 臨床指引
  • 藥物管理支持
  • 其他

第6章：美國臨床決策支援系統市場（按產品類型、估計和趨勢分析）

  • 美國臨床決策支援系統市場：交付形式變化分析
  • 美國臨床決策支援系統市場：交付類型細分儀表板
  • 2024 年和 2030 年配送趨勢和市場佔有率分析
  • 按規定形式
  • 網路為基礎的系統
  • 雲端基礎的系統
  • 本地系統

第7章美國臨床決策支援系統市場組成部分、估值和趨勢分析

  • 美國臨床決策支援系統市場：組件變異分析
  • 美國臨床決策支援系統市場：組件細分儀表板
  • 2024 年和 2030 年零件趨勢和市場佔有率分析
  • 按組件
  • 硬體
  • 軟體
  • 服務

第8章 競爭態勢

  • 公司分類
  • 2024年企業市場分析
  • 企業市場占有率分析
  • 公司簡介/上市公司
    • McKesson Corporation
    • Cerner Corporation（現為 Oracle Health）
    • Siemens Healthineers GmbH
    • Allscripts Healthcare, LLC（現為 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