Demand Modeling & Market Estimation
Our market sizing and forecasting methodologies employ a robust combination of top-down and bottom-up approaches, triangulated across multiple data points to ensure accuracy.
Bottom-Up Approach: This method involves estimating the market size by aggregating granular data points. Key metrics and variables used include:
- Number of approved bispecific and trispecific antibody therapies per therapeutic area.
- Average annual treatment cost per patient for these therapies, factoring in regional variations and reimbursement landscapes.
- Prevalence and incidence rates of target diseases (e.g., specific solid tumors, hematological malignancies, autoimmune conditions) across different geographies.
- Target patient population eligible for bispecific/trispecific antibody treatment based on clinical guidelines and drug labels.
- Market penetration rate and adoption curves of new therapies within specific end-user segments (e.g., hospitals, specialized clinics).
Top-Down Approach: This method estimates the overall market size from broad industry aggregates and then segments it downwards based on specific market parameters (antibody type, therapeutic area, route of administration, end-user, and geography). This involves analyzing overall pharmaceutical market growth, biologics market trends, and specific segments like oncology therapeutics.
Multi-Level Data Triangulation: The data derived from both primary and secondary research, along with the top-down and bottom-up estimations, are cross-referenced and triangulated. This iterative process helps validate findings, reconcile discrepancies, and refine market estimates, ensuring a holistic and accurate market representation.