Clinical Trial Analytics

Clinical Trial Analytics: Understanding Your Competitive Trial Landscape

Clinical trial analytics is the process of measuring an organization's clinical trial presence, investigator involvement, and competitive positioning within a therapeutic area. For Medical Affairs, Sales, Strategy, and Scientific teams, it offers strategic visibility into who is running trials, which investigators are involved, and how a company's trial footprint compares to competitors, across pharma, biotech, and medtech alike.

Monday, July 6, 2026

What is Clinical Trial Analytics?

Clinical trial analytics provides a broader view into the competitive and strategic side of the trial activity. It helps teams assess their position against competitors, identify trends and opportunities, and support more informed strategic decision-making beyond basic trial tracking.

This is different from trial execution data, which covers day-to-day trial management and biostatistics. Clinical trial analytics is about understanding the broader therapeutic area trial landscape and using it to guide investigator engagement, evidence generation planning, and competitive strategy.

Clinical trial analytics forms one part of a company's Scientific Share of Voice (SSoV), giving life sciences teams a clinical trial share of voice view alongside publications, conferences, and social presence.

What Clinical Trial Analytics Reveals

A clear view of competitive positioning within a therapeutic area
Visibility into investigator impact assessment, site distribution, and sponsor benchmarking
Clinical trial white space analysis, so teams can act on gaps before competitors do

Key Metrics to Track

Understanding competitive position in the trial landscape takes more than counting studies. It means benchmarking how an organization's trial activity compares to competitors, how that presence evolves over time, and which investigators are driving influence within a therapeutic area, a form of investigator impact assessment that goes beyond simple headcounts.

This extends to geographic mapping of where trials are concentrated and where coverage gaps exist, so teams can see not just what's happening, but where the opportunities lie. Together, these insights give life sciences teams a clear, benchmarked view of standing, without the need to piece together fragmented data manually.

focus outreach on those with genuine influence in a therapeutic area, rather than relying on assumptions or outdated lists

understand how trial presence and activity compare to key players, and where the organization stands

identify therapeutic gaps or underrepresented regions before competitors move in

align trial engagement strategy with where scientific influence is concentrated

get a clear view of the competitive trial landscape, not just internal data

replace scattered, time-consuming desk research with a consolidated, benchmarked view

This report enables life sciences teams to gain comprehensive insights into various aspects of the clinical trial landscape and use them to identify gaps in trial planning, market positioning, refine strategies, or enhance the overall impact of trials.

This clarity connects trial insight to the broader scientific picture, helping teams understand where they stand today and where the next opportunity is likely to emerge.

Every insight is grounded in rigorous research and not automated aggregation alone, giving teams the confidence to move from research straight to decision.

Discover how konectar clinical trial analytics can help enhance your therapy

Clinical trial analytics is the process of measuring an organization's clinical trial presence and impact within a therapeutic area to benchmark its position, guide competitive strategy, and investigator engagement planning.

Trial management systems support trial execution, while clinical trial SSoV provides a broader view of the clinical trial landscape, including competitive visibility

Regularly, since trial activity and investigator involvement shift as new studies launch and therapeutic landscapes evolve.

It's the process of evaluating how influential and active an investigator is within a therapeutic area, helping teams prioritize who's worth the most attention.