AI Tools for Pharma Market Research: Choosing a Workflow
Choose an AI market-research tool around the decision your team needs to make. For a therapeutic-area opportunity assessment, you need a competitor landscape, an estimate of the relevant patient population and a commercial scenario. Evaluate each task against its own source requirements before combining the findings.
This guide compares selected products by their documented role in that workflow. Maven Bio publishes this article and appears in the comparison. The descriptions come from vendors’ public product materials, not a hands-on benchmark or a ranking of accuracy, speed or investment value.
Define the market before selecting software
Write a scope that names the disease, patient subgroup, treatment setting, geography and decision horizon. For example: “Assess the competitive pipeline and commercial evidence for a treatment entering a defined U.S. patient segment.” Decide which approved treatments, investigational programs and substitute approaches belong in the comparison. Keep the inclusion rules with the output.
Tools to evaluate for each research task
Maven Bio describes Smart Tables for structured asset and clinical-study comparisons, with source-backed answers. Evaluate it for building a competitor evidence table. In a demonstration, ask the team to trace selected cells to the original disclosures and show how a conflicting source appears.
Maven Bio Smart Tables product description
AlphaSense describes AI search, research reports, financial data and monitoring in one platform. Evaluate its fit for synthesizing company disclosures and licensed research. Ask which sources your subscription includes and whether you can reopen and reuse the evidence behind an exported answer.
AlphaSense platform description
Komodo Health offers de-identified patient-level data through its Healthcare Map and AI analysis through Marmot. Evaluate this category when you need treatment-pathway or patient-population evidence. Ask for the cohort definition, observation window, data coverage and reproducible analysis before using a count in a market model.
Komodo Health product description
Evaluate Pharma provides consensus forecasts linked to product and pipeline information; its product page also describes the Ask Ella AI interface. Use consensus as an external comparison for your assumptions. Record the forecast’s date and underlying definition rather than presenting it as an achieved result.
Evaluate Pharma product description
These products address different parts of the assessment. Inclusion here means a vendor documents a relevant capability; it does not mean each product provides interchangeable data or that a buyer needs all four.
Build one evidence table
| Research question | Output to request | Review before using |
| Who could compete? | Assets, sponsor, indication, treatment setting, phase and source links | Normalize aliases and confirm inclusion against the written scope |
| Which patients could be relevant? | Cohort definition, observation period and count | Separate diagnosed, eligible, treated and addressable populations |
| What could commercial adoption look like? | Assumptions for access, uptake, price and competition | Show alternative scenarios and avoid mixing forecast dates |
| What changed? | Dated source and explanation of the changed field | Verify a new result rather than a repeated or republished disclosure |
Run a small comparison before buying
Give shortlisted vendors the same question and a reference set your team has checked. Include an asset with multiple names, a discontinued program and two reports with different observation dates. Ask each vendor to show missing information instead of filling it with an estimate.
Record factual errors, missing competitors, citations that fail to support the answer, and analyst time spent correcting the output. Count review time as part of the workflow. A vendor’s case-study speed claim should not become your expected saving unless the workload and quality standard match.
Keep the final commercial judgment with the team
A source-linked answer gives a reviewer a place to check the claim. It does not prove that a trial comparison is clinically valid or that a forecast reflects achievable market share. Separate observed evidence, assumptions and conclusions in the final brief.
Take one live therapeutic-area question into a demonstration and ask for a competitor table plus the sources needed to review it. That output gives your team a concrete basis for judging whether the tool fits its research process.