AI in Medical Writing Market size was over USD 859.9 million in 2024 and is estimated to reach USD 3.84 billion by the end of 2037, expanding at a CAGR of 13.3% during the forecast timeline, i.e., 2025-2037. In 2025, the industry size of AI in medical writing is evaluated at USD 974.2 million. The increasing complexity of healthcare data, the need for faster drug approvals, and the rise in clinical trials are key factors fueling the adoption of AI in medical writing. Technologies, such as NLP, and machine learning are helping reduce human error, improve accuracy, and streamline workflows, particularly in the pharmaceutical and healthcare sectors.
Moreover, regulatory authorities in various regions are starting to accept AI-generated documents, further accelerating the AI in medical writing market growth. In the upcoming years, AI is expected to advance further in automating not just routine writing tasks but also predictive analytics in clinical research. In June 2023, Amazon Web Services, Inc. announced a new HIPAA-eligible service, AWS HealthScribe with generative AI capabilities for natural language processing solutions. Such activities are projected to further boost the artificial intelligence (AI) in medical writing market expansion globally.
Growth Drivers
Challenges
Base Year |
2024 |
Forecast Year |
2025-2037 |
CAGR |
13.3% |
Base Year Market Size (2024) |
USD 859.9 million |
Forecast Year Market Size (2037) |
USD 3.84 billion |
Regional Scope |
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Deployment Mode (Cloud-based, On-premises)
Cloud-based segment is projected to capture AI in medical writing market share of over 57.7% by 2037. This is majorly due to its scalability, cost-effectiveness, and ease of access. The scalability is predominantly advantageous for variable workload handling related to medical writing, including clinical documentation or regulatory submissions volume fluctuations. Cloud-based deployment mode also supports real-time collaboration and data sharing by enabling seamless communication across various locations.
Additionally, the cloud often offers enhanced data security features, making it easier for companies to comply with strict privacy regulations while leveraging AI capabilities. In December 2023, Google Cloud launched MedLM, a generative AI regulated for the healthcare industry. The company further plans on bringing Gemini-based models into this suite, aiming to provide innovative capabilities in the upcoming years. Such developments are projected to boost the segment’s growth in the upcoming years, further boosting the market.
End use (Clinical writing, Regulatory writing, Patient documentation, Scientific writing)
Based on end-use, the pharmaceutical and biotechnology companies segment is projected to register a considerable share in the AI in medical writing market during the forecast period. The growth is majorly due to the high demand for efficient clinical trial documentation, regulatory submissions, and research publications. These companies handle large volumes of complex data and require, precise, error-free reporting to comply with regulatory standards. AI tools streamline the process by automating tasks such as drafting clinical study reports, summarizing trial data, and generating regulatory documents.
In June 2024, TrialAssure launched TrialAssure LINK AI 2.0. The updated version is designed to assist pharmaceutical, and biotechnology companies, and clinical research organizations, in generating drafts of common regulatory and medical writing documents leveraging AI technology. These developments are projected to boost the market expansion significantly. The growing emphasis on innovation and faster time-to-market for new drugs further drives AI adoption in this sector, leading to expansion in the AI in medical writing market.
Our in-depth analysis of the global market includes the following segments:
Type |
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Deployment Mode |
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End use |
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North America Market Analysis
The AI in medical writing market in North America is on a significant growth trajectory, majorly driven by the region’s strong healthcare infrastructure, substantial R&D investments, and regulatory demands for accurate and timely medical documentation. Additionally, the need for cost-efficient operations in both pharmaceuticals and healthcare has spurred AI adoption to streamline ye documentation process. AI’s integration in medical writing has been supported by several big players in the AI and pharmaceutical industries, making North America a leader in the market.
The U.S. AI in medical writing is the largest market in North America, with growth primarily fueled by the high demand for efficient clinical trial documentation and the country’s extensive pharmaceutical and biotech industries. Machine learning models that enable NLP to simplify regulatory and clinical documentation are one of the key market drivers of the country. The U.S. market is hence projected to witness significant growth during the forecast period.
Canada AI in medical writing is rapidly evolving with a focus on bilingual documentation and localized regulatory requirements. AI’s role in patient engagement through personalized health summaries and automated insights that help clinicians in remote and underserved areas. The collaboration between Canadian tech firms and healthcare providers is also anticipated to drive innovation, particularly in tools designed for real-time patient data reporting.
APAC Market Statistics
Asia Pacific AI in medical writing market is witnessing rapid growth owing to advancements in healthcare and technology. Key drivers include streamlined clinical trials regulatory compliance, and improving patient-centric documentation. Countries in the region are investing heavily in healthcare digitization, influenced by increasing demand for personalized medicines. Furthermore, the rise of electronic health records (EHRs) is encouraging AI integration into medical documentation further in the region. For instance, in January 2023, Fujitsu and Sapporo Medical University announced a partnership for a joint project for patients’ healthcare data including EHRs and PHRs.
India AI in medical writing is propelled by the country’s robust pharmaceutical and healthcare outsourcing industry, along with a surge in clinical research. Additionally, the Indian government's digital healthcare initiatives, such as the National Digital Health Mission, is fueling further AI adoption. Emerging trends include the deployment of ML for content generation in regulatory and clinical trial reports. Rising focus on quality and compliance with global standards, addressing both regional and international markets.
China AI in medical writing market is expanding greatly, driven by supporting government policies including Healthy China 2030. The China government is committed to technological advancements, along with a strong AI development ecosystem. As per the National Library of Medicine, in May 2019, AI technology is projected to transform the medical sector and trigger an estimated USD 147 billion market over the next 20 years. The market further focuses on integrating AI with big data analytics to create predictive and precision medical content.
AI in medical writing market companies are forming strategic partnerships with healthcare and pharmaceutical firms, developing specialized AI tools for regulatory compliance, and focusing on product innovation with custom AI models for medical documentation. The prominent players are also expanding globally, particularly in high-growth regions including APAC. Acquisitions of AI startups are common to enhance capabilities, while companies provide training and support services to ensure the smooth adoption of AI solutions in clinical trials and regulatory processes.
Author Credits: Abhishek Verma
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