人工智慧在醫學寫作市場的機會、成長動力、產業趨勢分析與預測，2024-2032

2023 年，全球人工智慧醫學寫作市場資料為 7.587 億美元，預計 2024 年至 2032 年複合年成長率為 13.1%。智慧生成式人工智慧軟體解決方案的出現。

先進的機器學習模型正在改變文件生成方式，允許更深入地理解和闡明複雜的醫學語言。這些模型現在在文件解釋和生成方面擁有更高的準確性和上下文相關性。此外，人工智慧驅動的分析正在簡化資料分析，從而帶來更具洞察力和以數據為中心的醫學寫作。一個顯著的趨勢是人工智慧在個人化醫療中的應用不斷增加，其中人工智慧工具根據個別患者資料制定​​客製化的患者教育材料和治療計劃。

醫學寫作產業的人工智慧分為類型、部署模式、最終用途和區域。

市場將其產品分為臨床寫作、科學寫作、監管寫作和患者文件。 2023 年，臨床寫作領域成為領導者，收入達 2.85 億美元。臨床寫作包括制定詳細的報告、方案和其他對於新藥和醫療器材的認可和監督至關重要的關鍵文件。鑑於試驗過程中產生的臨床資料的複雜性和大量性，精確的記錄至關重要。這確保了遵守監管基準並有助於準確的資料分析和解釋。

醫學寫作市場中的人工智慧服務於各種最終用戶，包括製藥和生物技術公司、學術和研究機構、醫療設備製造商等。 2023 年，製藥和生物技術公司引領市場，預計到 2032 年將實現 3.196 億美元的收入。隨著臨床試驗、臨床前研究和監管提交的資料湧入，這些實體需要細緻的文件來支持他們的研究並確保產品認可。

2023 年，北美人工智慧醫學寫作市場收入為 2.826 億美元，預計 2024 年至 2032 年複合年成長率將達到 12.4%，這得益於其先進的醫療基礎設施和對技術的明顯擁抱。此外，公司投資和融資的增加正在推動區域市場的成長。

目錄

第 1 章：方法與範圍

第 2 章：執行摘要

第 3 章：產業洞察

• 產業生態系統分析
• 產業影響力
  • 成長動力
    • 人工智慧在醫療保健領域的採用不斷增加
    • 醫療資料量不斷成長
    • 對效率和降低成本的需求不斷增加
    • 技術進步
    • 缺乏熟練的醫學作家
  • 產業陷阱與挑戰
    • 初始投資成本高
    • 資料隱私和安全問題
• 成長潛力分析
• 監管環境
• 啟動場景
• 技術景觀
• 波特的分析
• PESTEL分析
• 人工智慧在醫療領域的應用
• 未來市場趨勢
• 差距分析

第 4 章：競爭格局

• 介紹
• 公司矩陣分析
• 主要市場參與者的競爭分析
• 競爭定位矩陣
• 戰略儀表板

第 5 章：市場估計與預測：按類型，2021 - 2032

• 主要趨勢
• 臨床寫作
• 監理寫作
• 患者文件
• 科學寫作

第 6 章：市場估計與預測：按部署模式，2021 - 2032 年

• 主要趨勢
• 基於雲端
• 本地

第 7 章：市場估計與預測：按最終用途，2021 - 2032 年

• 主要趨勢
• 製藥和生物技術公司
• 醫療器材企業
• 學術及研究機構
• 其他最終用戶

第 8 章：市場估計與預測：按地區分類，2021 - 2032 年

• 主要趨勢
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 英國
  • 法國
  • 西班牙
  • 義大利
  • 荷蘭
  • 歐洲其他地區
• 亞太地區
  • 日本
  • 中國
  • 印度
  • 澳洲
  • 韓國
  • 亞太地區其他地區
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
  • 拉丁美洲其他地區
• 中東和非洲
  • 南非
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 中東和非洲其他地區

第 9 章：公司簡介

• 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