AI in Medical Writing Market Trends

Growth Drivers

• Shortage of skilled medical writers: With a limited number of medical professionals available to meet growing documentation demands, especially for regulatory and clinical trial purposes, AI tools are being increasingly adopted to bridge the gap. These tools enable faster and more accurate content generation, helping healthcare and pharmaceutical companies keep up with regulatory requirements despite workforce constraints. In March 2024, Indegene acquired Trilogy Writing & Consulting GmbH to support Indegene’s capabilities in clinical and regulatory writing. Such artificial intelligence (AI) in medical writing market activities owing to the shortage of labor are projected to boost the inclusion of AI in medical writing.
• Growing volume of medical data: According to Statista, in October 2021, the global big data in the healthcare industry is projected to reach USD 70 billion by 2025.  The ever-growing medical data from electronic health records to clinical research creates a strong demand for AI solutions that can process, organize, and interpret information efficiently. AI in medical writing helps to filter complex data into clear and compliant documentation, enhancing the ability to leverage big data for medical insights, patient care, and regulatory compliance. These factors are anticipated to drive the AI in medical writing market growth significantly.

Challenges

• High initial investment costs: Companies need to invest significantly in technology infrastructure, AI model training, and customization for medical writing tasks. For smaller pharmaceutical firms or healthcare providers, these costs can be a barrier to adoption. Additionally, ongoing maintenance and upgrades to keep up with regulatory challenges and AI advancements add to the financial burden, slowing down the wider penetration of AI in medical writing market.
• Data privacy and security concerns: Medical writing often involves sensitive patient data and proprietary clinical information. Ensuring compliance with global privacy regulations while using artificial intelligence systems can be complex. Players participating in the AI in medical writing market are required to implement robust cybersecurity measures to protect data from breaches and unauthorized access. The potential for AI-generated content to violate privacy regulations in documentation amplifies these concerns, requiring transparency in AI governance.