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市场调查报告书
商品编码
1574121

AI驱动的临床试验管理市场－2024年至2029年预测

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个工作天内

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简介目录

人工智慧驱动的临床试验管理市场预计将以 22.50% 的复合年增长率成长，从 2024 年的 17.94 亿美元市场规模到 2029 年达到 49.5 亿美元。

随着各大公司越来越多地引入人工智慧，人工智慧在医疗保健领域的应用市场正经历着巨大的兴奋。人工智慧驱动的临床试验管理市场透过患者招募、资料分析和方案优化加速和改进临床试验的各个阶段。人工智慧透过自动执行重复任务并提供预测性见解，使药物开发更有效率、更便宜、更快。这项革命性的技术将改变医学研究的整个过程，并实现更准确、更快速的决策。随着製药公司、研究机构和医疗保健提供者越来越多地采用基于人工智慧的解决方案，该市场预计将显着增长并改变格局，最终改善患者护理。

基于人工智慧的临床试验解决方案提供者市场受到越来越多地采用基于人工智慧的平台的推动，以提高各个阶段试验的效率和有效性。推动市场扩张的因素之一是公共和私人对各个治疗领域的支持措施。此外，由于临床试验中人工智慧的意识增强以及更好的患者选择、临床实验地点选择、临床实验设计和病患监测等各种用途，市场正在扩大。

推动人工智慧临床试验管理市场的因素：

  • 药物临床试验需求的增加预计将推动市场需求

随着人工智慧在临床实验中的临床实验不断进步，现在已经出现了多种专用药物研究设计的AI解决方案，包括用药依从性、临床实验设计、临床实验和地点选择以及病患监测，提供基于AI的临床实验范围。入组和患者合格是对药物试验整体成功至关重要的两个过程。研究表明，30%的药物试验因患者招募失败而提前结束，85%的试验在患者招募期间被推迟。具有人工智慧元素的平台正在帮助降低这一障碍。此外，基于人工智慧的临床试验解决方案供应商的市场是由几位利用人工智慧进行药物测试的研究人员推动的。

人工智慧驱动的临床试验管理市场的地理前景

  • 北美在预测期内将经历指数级增长

北美，尤其是美国，在人工智慧相关技术进步和创新方面走在世界前列。该地区拥有许多领先的资讯科技机构、学习机构和新兴企业，致力于为医学研究和健康等各个行业提供尖端的人工智慧解决方案。大量资金和材料被分配给人工智慧公司和研​​究计划。越来越多的资本企业、公共部门和私人金融机构对在医疗保健服务（包括临床试验）中创建和利用人工智慧技术表现出兴趣。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业部门和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何影响未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中释放新的业务流和收益。
  • 面向广大受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响。

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手的市场状况、策略与市场占有率分析
  • 包括国家在内的细分市场和地区的收益成长和预测评估
  • 公司简介（策略、产品、财务资讯、主要动态等）

人工智慧驱动的临床试验管理市场区隔分析如下：

按类型

  • 临床试验规划与设计
  • 病患招募及登记
  • 资料管理与分析
  • 监控监控
  • 安全性和药物安全检测

按功能分类

  • 预测分析
  • 自然语言处理（NLP）
  • 机器学习
  • 机器人流程自动化 (RPA)
  • 影像/讯号处理

按最终用户

  • 製药公司
  • 受託研究机构（CRO）
  • 学术/研究机构
  • 生技公司
  • 医疗设备製造商

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 其他的
  • 亚太地区
  • 日本
  • 中国
  • 印度
  • 韩国
  • 台湾
  • 泰国
  • 印尼
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章基于人工智慧的临床试验管理市场：按类型

  • 介绍
  • 临床试验规划与设计
  • 病患招募及登记
  • 资料管理与分析
  • 监测和监督
  • 安全性和药物警戒

第六章 人工智慧的临床试验管理市场：按功能分类

  • 介绍
  • 预测分析
  • 自然语言处理（NLP）
  • 机器学习
  • 机器人流程自动化 (RPA)
  • 影像/讯号处理

第七章 人工智慧的临床试验管理市场：依最终使用者分类

  • 介绍
  • 製药公司
  • 受託研究机构（CRO）
  • 学术/研究机构
  • 生技公司
  • 医疗设备製造商

第八章 人工智慧的临床试验管理市场：按地区

  • 介绍
  • 北美洲
    • 按类型
    • 按功能分类
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 按类型
    • 按功能分类
    • 按最终用户
  • 欧洲
    • 按类型
    • 按功能分类
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 按类型
    • 按功能分类
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 按类型
    • 按功能分类
    • 按最终用户
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • Medidata Solutions（Acquired by Dassault Systemes）
  • Oracle Corporation
  • IBM Corporation
  • Veeva Systems
  • Clinerion
  • Saama Technologies
  • Bioclinica
  • Arisglobal
  • Aicure
  • Medable
简介目录
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