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市場調查報告書
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1574121

AI驅動的臨床試驗管理市場－2024年至2029年預測

AI-Powered Clinical Trial Management Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 150 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

人工智慧驅動的臨床試驗管理市場預計將以 22.50% 的複合年成長率成長，從 2024 年的 17.94 億美元市場規模到 2029 年達到 49.5 億美元。

隨著各大公司擴大引入人工智慧，人工智慧在醫療保健領域的應用市場正經歷著巨大的興奮。人工智慧驅動的臨床試驗管理市場透過患者招募、資料分析和方案最佳化加速和改進臨床試驗的各個階段。人工智慧透過自動執行重複任務並提供預測性見解，使藥物開發更有效率、更便宜、更快。這項革命性的技術將改變醫學研究的整個過程，並實現更準確、更快速的決策。隨著製藥公司、研究機構和醫療保健提供者擴大採用基於人工智慧的解決方案，該市場預計將顯著成長並改變格局，最終改善患者護理。

基於人工智慧的臨床試驗解決方案提供者市場受到擴大採用基於人工智慧的平台的推動，以提高各個階段試驗的效率和有效性。推動市場擴張的因素之一是公共和私人對各個治療領域的支持措施。此外，由於臨床試驗中人工智慧的意識增強以及更好的患者選擇、臨床實驗地點選擇、臨床實驗設計和病患監測等各種用途，市場正在擴大。

推動人工智慧臨床試驗管理市場的因素：

  • 藥物臨床試驗需求的增加預計將推動市場需求

隨著人工智慧在臨床實驗中的臨床實驗不斷進步，現在已經出現了多種專用藥物研究設計的AI解決方案，包括用藥依從性、臨床實驗設計、臨床實驗和地點選擇以及病患監測，提供基於AI的臨床實驗範圍。入組和患者合格是對藥物試驗整體成功至關重要的兩個過程。研究表明，30%的藥物試驗因患者招募失敗而提前結束，85%的試驗在患者招募期間被推遲。具有人工智慧元素的平台正在幫助降低這一障礙。此外，基於人工智慧的臨床試驗解決方案供應商的市場是由幾位利用人工智慧進行藥物測試的研究人員推動的。

人工智慧驅動的臨床試驗管理市場的地理前景

  • 北美在預測期內將經歷指數級成長

北美，尤其是美國，在人工智慧相關技術進步和創新方面走在世界前列。該地區擁有許多領先的資訊科技機構、學習機構和新興企業，致力於為醫學研究和健康等各個行業提供尖端的人工智慧解決方案。大量資金和材料被分配給人工智慧公司和研​​究計劃。越來越多的資本企業、公共部門和私人金融機構對在醫療保健服務（包括臨床試驗）中創建和利用人工智慧技術表現出興趣。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業部門和其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何影響未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，在動態環境中釋放新的業務流和收益。
  • 面向廣大受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響。

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手的市場狀況、策略與市場佔有率分析
  • 包括國家在內的細分市場和地區的收益成長和預測評估
  • 公司簡介（策略、產品、財務資訊、主要動態等）

人工智慧驅動的臨床試驗管理市場區隔分析如下：

按類型

  • 臨床試驗規劃與設計
  • 病患招募及登記
  • 資料管理與分析
  • 監控監控
  • 安全性和藥物安全檢測

按功能分類

  • 預測分析
  • 自然語言處理（NLP）
  • 機器學習
  • 機器人流程自動化 (RPA)
  • 影像/訊號處理

按最終用戶

  • 製藥公司
  • 受託研究機構（CRO）
  • 學術/研究機構
  • 生技公司
  • 醫療設備製造商

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 英國
  • 德國
  • 法國
  • 義大利
  • 西班牙
  • 其他
  • 中東/非洲
  • 沙烏地阿拉伯
  • UAE
  • 其他
  • 亞太地區
  • 日本
  • 中國
  • 印度
  • 韓國
  • 台灣
  • 泰國
  • 印尼
  • 其他

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章基於人工智慧的臨床試驗管理市場：按類型

  • 介紹
  • 臨床試驗規劃與設計
  • 病患招募及登記
  • 資料管理與分析
  • 監測和監督
  • 安全性和藥物警戒

第6章 人工智慧的臨床試驗管理市場：按功能分類

  • 介紹
  • 預測分析
  • 自然語言處理（NLP）
  • 機器學習
  • 機器人流程自動化 (RPA)
  • 影像/訊號處理

第7章 人工智慧的臨床試驗管理市場：依最終使用者分類

  • 介紹
  • 製藥公司
  • 受託研究機構（CRO）
  • 學術/研究機構
  • 生技公司
  • 醫療設備製造商

第8章 人工智慧的臨床試驗管理市場：按地區

  • 介紹
  • 北美洲
    • 按類型
    • 按功能分類
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 按類型
    • 按功能分類
    • 按最終用戶
  • 歐洲
    • 按類型
    • 按功能分類
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 按類型
    • 按功能分類
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 按類型
    • 按功能分類
    • 按最終用戶
    • 按國家/地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第10章 公司簡介

  • Medidata Solutions（Acquired by Dassault Systemes）
  • Oracle Corporation
  • IBM Corporation
  • Veeva Systems
  • Clinerion
  • Saama Technologies
  • Bioclinica
  • Arisglobal
  • Aicure
  • Medable
簡介目錄
Product Code: KSI061615985

The AI-powered clinical trial management market is expected to grow at a CAGR of 22.50%, reaching a market size of US$4.950 billion in 2029 from US$1.794 billion in 2024.

The market for using AI in healthcare has experienced a significant boom with a rise in the adoption of AI by the major players. The AI-driven clinical trial management market speeds up and improves various stages of clinical trials via patient recruitment, data analysis, and protocol optimization. AI makes drug development more efficient, cheaper, and quicker by automating repetitive tasks and providing predictive insights. This revolutionary technology can change the entire process of medical research, enabling more accurate, swift decisions. Due to increasing uptake by pharmaceutical companies, research institutions, and healthcare providers of AI-based solutions, this market is expected to grow substantially, transforming its landscape and eventually improving patient care.

The market for providers of AI-based clinical trial solutions is being driven by the growing adoption of AI-based platforms to enhance the efficiency and effectiveness of trials at different stages. One factor driving the market expansion is the public and private sectors' supportive initiatives for various therapeutic areas. Additionally, the market is growing due to the increased awareness and various uses of AI in clinical trials, including better patient selection, site selection, drug trial design, patient monitoring, and more.

AI-powered Clinical Trial Management Market Drivers:

  • Increased demand for drug trials is anticipated to increase the market demand

As a result of the growing application of artificial intelligence to drug trials and the availability of different AI solutions designed specifically for pharmaceutical research, such as medication compliance, trial design, selection of investigators or sites, patient monitoring, etc., the area offering AI-based clinical trial solutions is widening. Enrollment and patient eligibility are two crucial processes for the overall success of the medication trial. According to studies, 30% of medication trials end early because of patient recruitment failure, and 85% of trials are postponed during patient recruitment. Platforms with an AI component are helping to lower this barrier. In turn, the market for AI-based clinical trial solution providers is driven by several researchers utilizing AI in drug trials.

AI-powered Clinical Trial Management Market Geographical Outlook

  • North America is witnessing exponential growth during the forecast period

Regarding technological progress and innovation concerning artificial intelligence, North America, particularly the United States, has been at the forefront of the world. Numerous premier information technology organizations, learning institutions, and start-ups focused on preparing state-of-the-art AI answers for various industries, such as medical research or the health sector, are found in this region. A lot of funds and materials have been allocated to AI companies as well as research projects. More capital ventures, public sectors, and individual financiers have expressed their interest in creating and utilizing AI technologies in healthcare services, including clinical trials.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI-powered clinical trial management market is segmented and analyzed as follows:

By Type of AI solution

  • Clinical Trial Planning and Design
  • Patient Recruitment and Enrolment
  • Data Management and Analysis
  • Monitoring And Oversight
  • Safety And Pharmacovigilance

By Function

  • Predictive Analytics
  • Natural Language Processing (NLP)
  • Machine Learning
  • Robotic Process Automation (RPA)
  • Image And Signal Processing

By End-User

  • Pharmaceutical Companies
  • Contract Research Organizations (Cros)
  • Academic And Research Institutions
  • Biotechnology Companies
  • Medical Device Manufacturers

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI-POWERED CLINICAL TRIAL MANAGEMENT MARKET BY TYPE OF AI SOLUTION

  • 5.1. Introduction
  • 5.2. Clinical Trial Planning and Design
  • 5.3. Patient Recruitment and Enrollment
  • 5.4. Data Management and Analysis
  • 5.5. Monitoring And Oversight
  • 5.6. Safety And Pharmacovigilance

6. AI-POWERED CLINICAL TRIAL MANAGEMENT MARKET BY FUNCTION

  • 6.1. Introduction
  • 6.2. Predictive Analytics
  • 6.3. Natural Language Processing (NLP)
  • 6.4. Machine Learning
  • 6.5. Robotic Process Automation (RPA)
  • 6.6. Image And Signal Processing

7. AI-POWERED CLINICAL TRIAL MANAGEMENT MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Pharmaceutical Companies
  • 7.3. Contract Research Organizations (Cros)
  • 7.4. Academic And Research Institutions
  • 7.5. Biotechnology Companies
  • 7.6. Medical Device Manufacturers

8. AI-POWERED CLINICAL TRIAL MANAGEMENT MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Type of AI Solution
    • 8.2.2. By Function
    • 8.2.3. By End-User
    • 8.2.4. By Country
      • 8.2.4.1. United States
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Type of AI Solution
    • 8.3.2. By Function
    • 8.3.3. By End-User
      • 8.3.3.1. Brazil
      • 8.3.3.2. Argentina
      • 8.3.3.3. Others
  • 8.4. Europe
    • 8.4.1. By Type of AI Solution
    • 8.4.2. By Function
    • 8.4.3. By End-User
    • 8.4.4. By Country
      • 8.4.4.1. United Kingdom
      • 8.4.4.2. Germany
      • 8.4.4.3. France
      • 8.4.4.4. Italy
      • 8.4.4.5. Spain
      • 8.4.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Type of AI Solution
    • 8.5.2. By Function
    • 8.5.3. By End-User
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Type of AI Solution
    • 8.6.2. By Function
    • 8.6.3. By End-User
    • 8.6.4. By Country
      • 8.6.4.1. Japan
      • 8.6.4.2. China
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Taiwan
      • 8.6.4.6. Thailand
      • 8.6.4.7. Indonesia
      • 8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Medidata Solutions (Acquired by Dassault Systemes)
  • 10.2. Oracle Corporation
  • 10.3. IBM Corporation
  • 10.4. Veeva Systems
  • 10.5. Clinerion
  • 10.6. Saama Technologies
  • 10.7. Bioclinica
  • 10.8. Arisglobal
  • 10.9. Aicure
  • 10.10. Medable