Just two years ago, the adoption of Large Language Models (LLMs) sparked a surge of curiosity about artificial intelligence (AI), opening up possibilities for its use across nearly every industry. What started as an experiment in generative text has now transformed how leaders in life sciences access information, optimise workflows, and drive strategy.
In healthcare and pharma, AI is no longer just a buzzword. It has rapidly become a vital component in streamlining processes, accelerating analysis, and supporting more data-driven planning. For Market Access professionals, that evolution has been particularly significant, with many recognising the need to explore AI integration or risk getting left behind.
From Underserved to Empowered: AI’s Rise in Market Access
Historically, Market Access has lagged behind other functions like R&D or Commercial when it comes to digital investment. As a relatively newer discipline, it was often overlooked in favour of more established areas during digital transformation initiatives.
That’s changing. Today, Market Access is recognised as a strategic pillar in global launch planning. As the pressure to deliver outcomes faster and more effectively increases, the demand for smarter tools has never been greater. AI is helping fill that gap by improving visibility, alignment, and agility across teams and markets.
AI is Now Doing What Excel Never Could
Many teams still rely on Excel sheets, siloed tools, and manual workflows to manage critical data such as HTA decisions, launch timelines, pricing history, and payer feedback. The result? Missed opportunities, repeated effort, and a lack of consistency in decision-making.
Now, with AI and particularly LLMs trained on structured and unstructured Market Access data teams can:
Rapidly extract relevant information from dense reports like HTAs, clinical trials, or payer submissions
Generate clear summaries and insights tailored to specific assets or indications
Simulate potential outcomes based on historical patterns and competitor benchmarks
This shift is empowering Market Access teams to make better-informed decisions, faster. What used to take hours or even days to analyse can now be explored in minutes, using intuitive prompts and visualisation tools. The time saved can be reinvested into strategic activities like scenario planning, payer engagement, and cross-functional alignment.
Forecasting, Evidence, and Scenario Modelling
AI also supports more forward-looking strategy. Teams are now using it to:
Predict launch success by comparing evidence data, timelines, and market conditions
Benchmark outcomes against competitors and spot evidence gaps early
Model pricing scenarios and understand the risk of international reference pricing, especially in light of new policies such as the ‘Most Favored Nation’ (MFN) model in the U.S.
In short, AI has evolved from a research tool to a critical enabler of proactive and data-driven market access planning.
Overcoming the Challenges
Of course, AI isn’t a magic fix. Many of the same hurdles remain—such as inconsistent data quality, lack of standardised formats, and scepticism about output reliability. In Market Access, where nuance, judgement, and regional context are key, human oversight remains essential.
The organisations seeing the most success with AI are those that use it to augment, not replace, expert decision-making. By combining data-driven insights with cross-functional collaboration, they’re reducing manual effort and unlocking the full value of the evidence they already have.
Getting Started with AI
If you’re at the beginning of your AI journey, here are a few practical tips:
- Start by clearly defining the problem or opportunity, then determine whether AI is the right solution.
- Identify areas where AI could add value, such as systematic literature reviews, developing dossiers or evidence management.
- Test relevant use cases by exploring AI tools that support natural language querying, prompt-based analysis such as Nuro, or evidence management such as Evidence Hub.
- Empower your team to use AI to respond quickly to market changes, stay informed, and enhance strategic decision-making
As AI continues to evolve, it is becoming a fundamental enabler in Market Access, helping teams work more efficiently and strategically. Those who invest early and thoughtfully will be better equipped to scale insights, accelerate decisions, and remain competitive in a fast-changing environment.
However, as discussed in our AI in Market Access webinar series, not every challenge requires automation or benefits from AI. Identifying when and where it adds value is essential to implementing the technology effectively.
Curious how leading teams are already applying AI in Market Access?
Explore real-world use cases and learn from others on the path to smarter evidence management and pricing strategy. Contact us today.
