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:
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Author Credits: Abhishek Verma
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