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市場調查報告書
商品編碼
2125767

利用區塊鏈和數位孿生技術進行去中心化臨床試驗

Decentralized Clinical Trials Powered by Blockchain and Digital Twins
出版日期: | 出版商: Frost & Sullivan | 英文 72 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

本報告檢驗了區塊鏈、數位孿生和人工智慧進行的去中心化臨床試驗（DCT）如何變革全球臨床研究。報告也追溯了從以研究中心為中心轉向以患者為中心的模式過程，並定量分析了日益成長的臨床試驗規模、全球化程度和複雜性，這些都促使臨床試驗走向去中心化。

本研究分析了三大技術支柱：區塊鏈基礎設施，用於實現安全的知情同意獲取、資料完整性和智慧合約自動化；數位孿生技術，用於實現虛擬患者建模、合成對照組和方案模擬；以及人工智慧/機器學習技術，作為受試者招募、監測和預測分析的智慧層。本報告概述了塑造該領域發展趨勢的技術成熟度、關鍵創新者、資金籌措活動和策略夥伴關係，同時評估了臨床試驗的價值鍊和經濟影響，包括快速招募受試者、提高參與保留率、增加多樣性以及提高投資回報率（ROI）。

證據表明，混合試驗模式正逐漸成為行業標準，證明其能在試驗開始前發揮最大作用。最後，本報告評估了相關人員的角色，並為申辦者、合約研究組織（CRO）、技術提供者、醫療機構和監管機構提供策略建議，以建立一個智慧化、互聯互通且以患者為中心的臨床開發生態系統。

臨床研究正進入一個新時代。

區塊鏈、數位孿生和人工智慧將臨床試驗轉變為智慧、互聯、以患者為中心的生態系統，加快受試者招募速度、降低成本、提高多樣性並增強資料完整性。

本報告探討了推動下一代臨床研究的技術、市場趨勢、關鍵創新者、投資環境和策略機會。報告為申辦方、合約研究組織（CRO）、技術提供者、醫療機構和監管機構提供了洞見，並為建構去中心化、人工智慧驅動的臨床試驗的未來提供了切實可行的藍圖。

探索重新定義藥物研發的技術，以及保持領先所需的策略。

目錄

調查範圍和細分

  • 分析範圍
  • 本報告中使用的關鍵術語
  • 臨床試驗是實證醫學的基礎。
  • 臨床研究正變得越來越全球化，對分散式試驗模式的需求也日益成長。
  • 臨床試驗的範圍從藥品擴展到醫療設備和行為介入領域。
  • 分散式臨床試驗現況概述
  • 分析師對目前分散式臨床試驗狀況的看法
  • 區隔

策略要務

  • 為什麼成長變得越來越困難？策略要務8™：阻礙成長的因素
  • The Strategic Imperative 8™
  • 分散式臨床試驗產業三大策略要務的影響
  • 成長機會驅動Growth Pipeline Engine™
  • 調查方法

成長機會分析

  • 成長促進因素
  • 抑制生長的因素

基於區塊鏈的臨床試驗基礎設施

  • 區塊鏈在臨床試驗的應用
  • 傳統臨床試驗與基於區塊鏈的臨床試驗的比較
  • 用於臨床試驗的區塊鏈架構
  • 第一層：身份驗證、臨床資料收集與管理
  • 第二層：知情同意與病人管治層
  • 第三層：資料完整性與溯源管理階層
  • 第四層：智慧合約與自動化層
  • 第五層：區塊鏈網路與整合基礎設施層
  • 技術分析：區塊鏈在臨床試驗的應用
  • 分析師意見

利用數位孿生技術的臨床試驗

  • 臨床試驗中的數位孿生
  • 用於臨床試驗的數位孿生架構
  • 利用數位孿生技術進行臨床試驗的領先公司
  • 技術分析：臨床試驗中的數位孿生
  • 分析師意見

人工智慧/機器學習在分散式臨床試驗中的作用

  • 人工智慧/機器學習在基於區塊鏈的臨床試驗中的作用
  • 人工智慧/機器學習在數位孿生開發中的作用
  • 直接影響人工智慧驅動臨床試驗的法規和指南
  • 人工智慧監管沙箱將加速臨床試驗創新
  • 領先的AI平台，協助實現分散式臨床試驗

臨床試驗價值鏈與經濟影響分析

  • 臨床試驗價值鏈分析：分散式臨床試驗的影響
  • 分散式臨床試驗的經濟影響
  • 將臨床試驗的價值創造從設施基礎設施轉移到互聯互通的醫療生態系統。

相關人員分析

  • 在分散式臨床試驗領域建立領先的夥伴關係
  • 分散式臨床試驗領域的資金籌措活動

去中心化臨床試驗生態系統的策略展望

  • 新的戰略重點
  • 針對臨床試驗相關人員的策略建議
  • 相關人員的策略重點

成長機會概述

  • 成長機會1：人工智慧原生臨床試驗編配平台
  • 成長機會2：利用數位孿生技術進行自適應臨床開發
  • 成長機會3：可靠且可互通的臨床試驗網路

附錄

  • 技術實用化等級（TRL）：說明

未來計劃

  • 成長機會帶來的益處和影響
  • 後續步驟
  • 免責聲明
簡介目錄
Product Code: DB92-34

This report examines how decentralized clinical trials (DCTs), enabled by blockchain, digital twins, and artificial intelligence, are reshaping global clinical research. It traces the shift from site-centric to patient-centric models and quantifies the growing scale, globalization, and complexity of clinical trials that make decentralization necessary.

The study analyzes three technology pillars: blockchain infrastructure for secure consent, data integrity, and smart-contract automation; digital twins for virtual patient modeling, synthetic control arms, and protocol simulation; and AI/ML as the intelligence layer for recruitment, monitoring, and predictive analytics. It maps the technology maturity, key innovators, funding activity, and strategic partnerships defining the landscape, and evaluates the clinical trial value chain and economic impact, including faster enrollment, improved retention, greater diversity, and stronger returns on investment.

Evidence indicates hybrid trial models are becoming the industry standard, with the strongest gains realized before trial execution begins. Finally, the report assesses stakeholder roles and offers strategic recommendations for sponsors, CROs, technology providers, healthcare organizations, and regulators preparing for an intelligent, connected, and patient-centric clinical development ecosystem.

Clinical research is entering a new era.

Blockchain, digital twins, and AI are transforming clinical trials into intelligent, connected, and patient-centric ecosystems- accelerating enrollment, reducing costs, improving diversity, and enhancing data integrity.

This report explores the technologies, market trends, key innovators, investment landscape, and strategic opportunities driving the next generation of clinical research. Featuring insights for sponsors, CROs, technology providers, healthcare organizations, and regulators, it provides a practical roadmap for navigating the future of decentralized and AI-enabled clinical trials.

Discover the technologies redefining drug development-and the strategies needed to stay ahead.

Table of Contents

Scope and Segmentation

  • Scope of Analysis
  • Key Terminologies Used in the Report
  • Clinical Trials is the Foundation of Evidence-Based Medicine
  • Clinical Research Is Increasingly Global, Creating the Need for Decentralized Trial Models
  • Clinical Trials Are Extending Beyond Drugs to Devices and Behavioral Interventions
  • Decentralized Clinical Trial Landscape Overview
  • Analyst Insights on the Decentralized Clinical Trial Landscape
  • Segmentation

Strategic Imperatives

  • Why Is It Increasingly Difficult to Grow? The Strategic Imperative 8™: Factors Creating Pressure on Growth
  • The Strategic Imperative 8™
  • The Impact of the Top 3 Strategic Imperatives on the Decentralized Clinical Trials Industry
  • Growth Opportunities Fuel the Growth Pipeline Engine™
  • Research Methodology

Growth Opportunity Analysis

  • Growth Drivers
  • Growth Restraints

Blockchain-Enabled Clinical Trial Infrastructure

  • Blockchain in Clinical Trials
  • Conventional Clinical Trials vs Blockchain-Based Clinical Trials
  • Blockchain Architecture for Clinical Trials
  • Layer 1: Identity and Clinical Data Capture Management
  • Layer 2: Consent and Patient Governance Layer
  • Layer 3: Data Integrity and Provenance Layer
  • Layer 4: Smart Contracts and Automation Layer
  • Layer 5: Blockchain Network and Integration Infrastructure Layer
  • Technology Analysis: Blockchain in Clinical Trials
  • Analyst Insights

Digital Twins-Based Clinical Trial Technologies

  • Digital Twins in Clinical Trials
  • Digital Twin Architecture for Clinical Trials
  • Key Players in Digital Twin-Powered Clinical Trial
  • Technology Analysis: Digital Twins in Clinical Trials
  • Analyst Insights

Role of AI/ML in Decentralized Clinical Trials

  • Role of AI/ML in Blockchain-Enabled Clinical Trials
  • Role of AI/ML in Digital Twin Development
  • Regulations and Guidance with Direct Impact on AI-Enabled Clinical Trials
  • AI Regulatory Sandboxes Accelerating Clinical Trial Innovation
  • Leading AI Platforms Enabling Decentralized Clinical Trials

Clinical Trial Value Chain and Economic Impact Analysis

  • Clinical Trial Value Chain Analysis: Impact of Decentralized Clinical Trials
  • Economic Impact of Decentralized Clinical Trials
  • Shifting Clinical Trial Value Creation from Site Infrastructure to Connected Care Ecosystems

Stakeholder Analysis

  • Key Partnerships Within Decentralized Clinical Trial Landscape
  • Funding Activities Within Decentralized Clinical Trial Landscape

Strategic Outlook for Decentralized Clinical Trial Ecosystem

  • Emerging Strategic Focus
  • Strategic Recommendations for Clinical Trial Stakeholders
  • Strategic Priorities for Stakeholders

Growth Opportunity Universe

  • Growth Opportunity 1: AI-Native Clinical Trial Orchestration Platforms
  • Growth Opportunity 2: Digital Twin-Enabled Adaptive Clinical Development
  • Growth Opportunity 3: Trusted and Interoperable Clinical Trial Networks

Appendix

  • Technology Readiness Levels (TRL): Explanation

Next Steps

  • Benefits and Impacts of Growth Opportunities
  • Next Steps
  • Legal Disclaimer