As forecasting teams head into 2026, expectations continue to rise.
This year’s report captures the key trends shaping how organizations are approaching forecasting today, based on what we are seeing across client engagements, operating model reviews, and active forecast cycles.
The focus is on execution rather than aspiration. The report documents how AI is being incorporated into forecast workflows, how centralization and automation are changing forecast ownership, and how governance, audit, and transparency are becoming more prominent as forecasts play a larger role in commercial decision-making.
Rather than outlining how forecasting should be done, the report reflects how teams are actually operating as these shifts take hold.
What you’ll find inside
- AI’s evolving role in forecasting — where automation, rapid sensitivity testing, and machine-learning-supported baselines are being used today, and where expert judgment continues to anchor results.
- The move toward centralized baselines — how organizations are generating forecasts centrally for in-market brands, what this means for local ownership, and the governance considerations emerging alongside this shift.
- Operating model patterns for 2026 — common themes across teams facing resource constraints, selective simplification, increasing model diversity, and growing emphasis on auditability and transparency.
Download Pharma Forecasting Trends for 2026 for a clear view of how peers are approaching forecasting as they look ahead.
