人工智慧在医学写作市场的机会、成长动力、产业趋势分析与预测，2024-2032

2023 年，全球人工智慧医学写作市场资料为 7.587 亿美元，预计 2024 年至 2032 年复合年增长率为 13.1%。智慧生成式人工智慧软体解决方案的出现。

先进的机器学习模型正在改变文件生成方式，允许更深入地理解和阐明复杂的医学语言。这些模型现在在文件解释和生成方面拥有更高的准确性和上下文相关性。此外，人工智慧驱动的分析正在简化资料分析，从而带来更具洞察力和以数据为中心的医学写作。一个显着的趋势是人工智慧在个人化医疗中的应用不断增加，其中人工智慧工具根据个别患者资料制定​​客製化的患者教育材料和治疗计划。

医学写作产业的人工智慧分为类型、部署模式、最终用途和区域。

市场将其产品分为临床写作、科学写作、监管写作和患者文件。 2023 年，临床写作领域成为领导者，收入达 2.85 亿美元。临床写作包括制定详细的报告、方案和其他对于新药和医疗器材的认可和监督至关重要的关键文件。鑑于试验过程中产生的临床资料的复杂性和大量性，精确的记录至关重要。这确保了遵守监管基准并有助于准确的资料分析和解释。

医学写作市场中的人工智慧服务于各种最终用户，包括製药和生物技术公司、学术和研究机构、医疗设备製造商等。 2023 年，製药和生物技术公司引领市场，预计到 2032 年将实现 3.196 亿美元的收入。随着临床试验、临床前研究和监管提交的资料涌入，这些实体需要细緻的文件来支持他们的研究并确保产品认可。

2023 年，北美人工智慧医学写作市场收入为 2.826 亿美元，预计 2024 年至 2032 年复合年增长率将达到 12.4%，这得益于其先进的医疗基础设施和对技术的明显拥抱。此外，公司投资和融资的增加正在推动区域市场的成长。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

• 产业生态系统分析
• 产业影响力
  • 成长动力
    • 人工智慧在医疗保健领域的采用不断增加
    • 医疗资料量不断成长
    • 对效率和降低成本的需求不断增加
    • 技术进步
    • 缺乏熟练的医学作家
  • 产业陷阱与挑战
    • 初始投资成本高
    • 资料隐私和安全问题
• 成长潜力分析
• 监管环境
• 启动场景
• 技术景观
• 波特的分析
• PESTEL分析
• 人工智慧在医疗领域的应用
• 未来市场趋势
• 差距分析

第 4 章：竞争格局

• 介绍
• 公司矩阵分析
• 主要市场参与者的竞争分析
• 竞争定位矩阵
• 战略仪表板

第 5 章：市场估计与预测：按类型，2021 - 2032

• 主要趋势
• 临床写作
• 监理写作
• 患者文件
• 科学写作

第 6 章：市场估计与预测：按部署模式，2021 - 2032 年

• 主要趋势
• 基于云端
• 本地

第 7 章：市场估计与预测：按最终用途，2021 - 2032 年

• 主要趋势
• 製药和生物技术公司
• 医疗器材企业
• 学术及研究机构
• 其他最终用户

第 8 章：市场估计与预测：按地区划分，2021 - 2032 年

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 德国
  • 英国
  • 法国
  • 西班牙
  • 义大利
  • 荷兰
  • 欧洲其他地区
• 亚太地区
  • 日本
  • 中国
  • 印度
  • 澳洲
  • 韩国
  • 亚太地区其他地区
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
  • 拉丁美洲其他地区
• 中东和非洲
  • 南非
  • 沙乌地阿拉伯
  • 阿联酋
  • 中东和非洲其他地区

第 9 章：公司简介

• Artos
• Cactus Communications
• CureMetrix, Inc.
• Elsevier
• Epic Systems Corporation
• Freyr
• GENINVO
• GNS Healthcare, Inc.
• IBM Corporation
• NVIDIA Corporation
• Parexel International (MA) Corporation
• Pearson
• TrialAssure
• Trilogy Writing and Consulting GmbH
• Yseop

The Global AI in Medical Writing Market was valued at USD 758.7 million in 2023 and is projected to grow at a CAGR of 13.1% from 2024 to 2032. This growth can be attributed to a heightened emphasis on streamlining medical writing, a surge in medical data, and the emergence of intelligent generative AI software solutions.

Advanced machine learning models are transforming document generation, allowing for a deeper comprehension and articulation of intricate medical language. These models now boast enhanced accuracy and contextual relevance in document interpretation and production. Furthermore, AI-driven analytics are streamlining data analysis, leading to more insightful and data-centric medical writing. A notable trend is the rising application of AI in personalized medicine, where AI tools craft customized patient education materials and treatment plans tailored to individual patient data.

The AI in medical writing industry is classified into type, deployment mode, end-use, and region.

The market categorizes its offerings into clinical writing, scientific writing, regulatory writing, and patient documentation. In 2023, the clinical writing segment emerged as the front runner, raking in USD 285 million. Clinical writing encompasses the formulation of detailed reports, protocols, and other pivotal documents crucial for the endorsement and supervision of novel drugs and medical devices. Given the intricate nature and vast volume of clinical data produced during trials, precise documentation is paramount. This ensures adherence to regulatory benchmarks and aids in accurate data analysis and interpretation.

AI in medical writing market serves various end-users, including pharmaceutical and biotechnology firms, academic and research institutions, medical device manufacturers, and others. In 2023, pharmaceutical and biotechnology companies led the market and are projected to achieve USD 319.6 million by 2032. This dominance in the AI-driven medical writing arena stems from their extensive documentation demands in drug development and regulatory processes. With data pouring in from clinical trials, preclinical studies, and regulatory submissions, these entities necessitate meticulous documentation to bolster their research and secure product endorsements.

In 2023, North America commanded a revenue of USD 282.6 million in the AI in medical writing market, with projections of a 12.4% CAGR from 2024 to 2032 fueled by its sophisticated healthcare infrastructure and a pronounced embrace of technology. Moreover, heightened investments and funding from companies are propelling regional market growth.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market scope and definitions
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates and calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Rising adoption of AI in healthcare
    • 3.2.1.2 Growing volume of medical data
    • 3.2.1.3 Increasing demand for efficiency and cost reduction
    • 3.2.1.4 Technological advancements
    • 3.2.1.5 Shortage of skilled medical writers
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 High initial investment costs
    • 3.2.2.2 Data privacy and security concerns
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
• 3.5 Start-up scenarios
• 3.6 Technology landscape
• 3.7 Porter's analysis
• 3.8 PESTEL analysis
• 3.9 AI in medical applications
• 3.10 Future market trends
• 3.11 Gap analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company matrix analysis
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Type, 2021 - 2032 ($ Mn)

• 5.1 Key trends
• 5.2 Clinical writing
• 5.3 Regulatory writing
• 5.4 Patient documentation
• 5.5 Scientific writing

Chapter 6 Market Estimates and Forecast, By Deployment Mode, 2021 - 2032 ($ Mn)

• 6.1 Key trends
• 6.2 Cloud-based
• 6.3 On-premises

Chapter 7 Market Estimates and Forecast, By End-use, 2021 - 2032 ($ Mn)

• 7.1 Key trends
• 7.2 Pharmaceutical and biotechnology companies
• 7.3 Medical device companies
• 7.4 Academic and research institutes
• 7.5 Other end-users

Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)

• 8.1 Key trends
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 UK
  • 8.3.3 France
  • 8.3.4 Spain
  • 8.3.5 Italy
  • 8.3.6 Netherlands
  • 8.3.7 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 Japan
  • 8.4.2 China
  • 8.4.3 India
  • 8.4.4 Australia
  • 8.4.5 South Korea
  • 8.4.6 Rest of Asia Pacific
• 8.5 Latin America
  • 8.5.1 Brazil
  • 8.5.2 Mexico
  • 8.5.3 Argentina
  • 8.5.4 Rest of Latin America
• 8.6 Middle East and Africa
  • 8.6.1 South Africa
  • 8.6.2 Saudi Arabia
  • 8.6.3 UAE
  • 8.6.4 Rest of Middle East and Africa

Chapter 9 Company Profiles

• 9.1 Artos
• 9.2 Cactus Communications
• 9.3 CureMetrix, Inc.
• 9.4 Elsevier
• 9.5 Epic Systems Corporation
• 9.6 Freyr
• 9.7 GENINVO
• 9.8 GNS Healthcare, Inc.
• 9.9 IBM Corporation
• 9.10 NVIDIA Corporation
• 9.11 Parexel International (MA) Corporation
• 9.12 Pearson
• 9.13 TrialAssure
• 9.14 Trilogy Writing and Consulting GmbH
• 9.15 Yseop