米国の臨床意思決定支援システム市場規模、シェア、動向分析レポート：製品別、用途別、提供形態別、コンポーネント別、セグメント別予測、2025年～2030年

市場規模と動向

米国の臨床意思決定支援システム市場規模は、2024年に21億4,000万米ドルと評価され、2025～2030年にかけてCAGR 8.17％で成長し、2030年には34億米ドルに達すると予測されています。

電子カルテ（EHR）が米国の病院や勤務医に広く普及していることが、市場の成長を大きく後押ししています。Simbo AIによると、2021年現在、米国では約88％の内科医が電子カルテ（EHR）システムを導入しており、導入率は以前のわずか42％から2倍以上に増加しています。このため、治療時点におけるリアルタイムの警告、治療推奨、薬剤相互作用チェックを提供するCDSSツールのシームレスな統合への道が開かれました。さらに、HITECH法、ミーニングフル・ユースインセンティブ、HHSによる認証プログラム、21世紀硬化法の条項などのイニシアチブによる強力な施策支援により、CDSSの採用を奨励し、イノベーションを奨励しながら相互運用性を確保する規制環境が整いました。

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人工知能（AI）と機械学習（ML）技術は、予測分析、パターン認識、パーソナライズされた推奨などの強化された機能を提供することで、臨床意思決定支援システム（CDSS）市場に革命をもたらしています。AIを搭載したCDSSは大量のデータを処理し、動向を特定し、転帰を予測し、最適な治療法を推奨します。例えば、2022年12月、テキサス大学オースティン校デルメディカルスクールの研究者は、臨床医が栄養に関する会話に患者を参加させ、食事改善に関する意思決定をサポートするよう設計されたAIベースCDSSを開発しました。

個別化医療は増加傾向にあり、CDSSが重要な役割を果たしています。カスタマイズ型治療計画を作成するために、これらのシステムは遺伝子データや病歴などの患者情報を評価します。個別化された推奨事項を提供することで、CDSSは治療結果を改善し、副作用の可能性を最小限に抑え、市場の成長に貢献しています。

COVID-19の大流行が米国の臨床意思決定支援システム市場の成長を大きく後押しし、これらのツールの普及を促進しました。CDSSは、COVID-19症例のリアルタイムの臨床診断とトリアージを支援することで、患者ケアとリソース管理をサポートする上で極めて重要でした。オンラインヘルスケアサービスの全国的な拡大は、この動向をさらに加速させました。市場のリーダーたちは、COVID-19のデータと洞察を管理するために特化したCDSSソリューションを導入しました。例えば、2022年5月、Epocratesは、最新の臨床ガイドラインを組み込んだ、長期的なCOVIDに焦点を当てた先進的なツールを発売しました。このような採用の増加は、パンデミック時の市場成長の重要な要因となっています。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 市場の変数、動向、範囲

• 市場系統の展望
  • 親市場の展望
  • 関連/補助市場展望
• 市場動向と展望
• 市場力学
  • 市場促進要因分析
  • 市場抑制要因分析
  • 市場機会分析
  • 市場課題分析
• 米国の臨床意思決定支援システム市場分析ツール：PESTEL
  • 政治と法律
  • 経済と社会
  • 技術
• 米国の臨床意思決定支援システム市場分析ツール：ポーターのファイブフォース分析

第4章 米国の臨床意思決定支援システム市場：製品別、推定・動向分析

• 米国の臨床意思決定支援システム市場：製品の変動分析
• 米国の臨床意思決定支援システム市場：製品セグメントダッシュボード
• 製品の動向と市場シェア分析、2024年と2030年
• 製品別
• スタンドアロンCDSS
• CDSSと統合されたCPOE
• CDSSと統合されたEHR
• CPOEとHERを統合したCDSS

第5章 米国の臨床意思決定支援システム市場：用途別、推定・動向分析

• 米国の臨床意思決定支援システム市場：用途の変動分析
• 米国の臨床意思決定支援システム市場：用途セグメントダッシュボード
• 用途の動向と市場シェア分析、2024年と2030年
• 用途別
• 薬剤間相互作用
• 薬剤アレルギー警告
• 臨床上の注意点
• 臨床ガイドライン
• 薬剤投与サポート
• その他

第6章 米国の臨床意思決定支援システム市場：提供形態別、推定・動向分析

• 米国の臨床意思決定支援システム市場：提供形態の変動分析
• 米国の臨床意思決定支援システム市場：提供形態セグメントダッシュボード
• 提供形態の動向と市場シェア分析、2024年と2030年
• 提供形態別
• Webベースシステム
• クラウドベースシステム
• オンプレミスシステム

第7章 米国の臨床意思決定支援システム市場：コンポーネント別、推定・動向分析

• 米国の臨床意思決定支援システム市場：コンポーネントの変動分析
• 米国の臨床意思決定支援システム市場：コンポーネントセグメントダッシュボード
• コンポーネントの動向と市場シェア分析、2024年と2030年
• コンポーネント別
• ハードウェア
• ソフトウェア
• サービス

第8章 競合情勢

• 企業分類
• 企業市況分析、2024年
• 企業シェア分析
• 企業プロファイル/上場企業
  • McKesson Corporation
  • Cerner Corporation（現Oracle Health）
  • Siemens Healthineers GmbH
  • Allscripts Healthcare, LLC（現Veradigm）
  • athenahealth, Inc.
  • NextGen Healthcare Inc.
  • IBM Corporation
  • GE HealthCare
  • Nordic
  • BeeKeeperAI

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

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