A 'demand spaces' approach to strategic planning for a leading healthcare company

A leading Consumer Healthcare company needed to decide which market segments to enter or exit as part of long-term strategic planning, and wanted to understand competitor intensity across different consumer "demand spaces" defined by attitudes, conditions and health/wellness goals. GlobalData drew on its Product Launch Analytics, Patent Analytics, Global Ad Source, Consumer Survey and Deals databases to analyze competitor portfolio strength, marketing positioning, partnerships, investment strategy, R&D focus and offerings across global, regional and emerging players. The output was a "Strategic Framework Rating Matrix" using traffic-light coding to rate competitor risk/opportunity by country and category, highlighting where the client had a "right to win," plus a final report per demand space with investment recommendations.

GlobalData is a pipeline, clinical-trial and market-intelligence data provider, similar in kind to Cortellis, tracking hundreds of thousands of drugs across their full lifecycle.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.