Valued at USD 684.19 million in 2022, the AI in medical writing market is expected to reach USD 722.75 million in 2023 and USD 2,072.30 million by 2032, registering a CAGR of 12.4% during the forecast period 2023–2032. Polaris Market Research identifies rising research spending and outsourced clinical research as core growth drivers.

The AI in Medical Writing Market is shaped by who produces documentation and how that work is sourced. The report segments the market by type, end use and region.

R&D Investment and Outsourcing Drive Demand

Rising R&D investment is a leading driver. A Congressional Budget Office report from April 2021 found that the pharmaceutical industry invests about three times more in R&D than other technology sectors such as computer and software services, and U.S. pharmaceutical R&D spending was around USD 83 billion in 2019. Polaris also points to a favorable environment for clinical studies in developing countries and new medical device regulations. ClinicalTrials.gov reported around 454,928 actively recruiting studies as of March 2021.

Contract Research Organizations Expand Clinical Outsourcing

Growing outsourcing of clinical research is a further driver. The report notes that about 30 leading pharmaceutical companies have partnered with contract research organizations.

Pharmaceutical End Use Leads While Medical Devices Grow Steadily

The pharmaceutical end use held a substantial share in 2022, helped by the large volume of trial, preclinical and literature data that can train AI models. Medical devices showed steady growth, driven by NLP tools that automate data extraction and research summarization. Biotechnology is also covered as an end use. Regulatory pressure adds to documentation needs, since stringent demands from bodies such as the FDA and EMA require extensive data to prove safety and efficacy.

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Literature Review Automation

Automating literature review is one of the most visible use cases, alongside data extraction and summarization. Polaris reports that some companies have cut medical writing time by 80%.

Generative AI and Strategic Collaborations

In July 2024, Yseop and Cognizant announced a strategic collaboration to scale generative AI-powered scientific content development in biopharma. The report lists rapid technological advancements among opportunities.

Regional Outlook

North America dominated in 2022 and is named the leading region in the report's FAQ. Asia Pacific is the fastest-growing region, attributed to rising healthcare spending and AI advances in China, Japan, South Korea and India.

Constraints and Regional Coverage

COVID-19 disrupted trials, delayed studies, led to pharmaceutical budget cuts and reduced journal submissions, though Polaris calls the impact moderate. Data security and privacy issues are also listed among restraints. Country coverage includes the U.S. and Canada in North America; France, Germany, the UK, Italy, the Netherlands, Spain and Russia in Europe; Japan, China, India, Malaysia, Indonesia and South Korea in Asia Pacific; Brazil, Mexico and Argentina in Latin America; and Saudi Arabia, the UAE, Israel and South Africa in the Middle East & Africa.

Polaris rates rivalry among existing firms as high, supplier power, buyer power and the threat of substitutes as moderate, and the threat of new entrants as low. The report was published in October 2023, with historical data for 2019 to 2021.

Competitive Landscape and Key Players

The AI in medical writing is consolidated, with limited players. Key players include Cactus Communications, Freyr, GENINVO, Parexel International and Trilogy Writing & Consulting. Companies focus on partnerships, product upgrades and collaboration, and competition is expected to rise.

Outlook

Taken together, spending on research, growth in outsourced trials and the availability of large data volumes to train AI models frame the market's outlook. Polaris describes the market as consolidated, with limited players, and expects competition to rise.

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