Global market valuation was derived through revenue mapping, prescription volume analysis, and direct-to-consumer (DTC) supplement sales tracking. The methodology included:
Identification of 50+ key developers and manufacturers across North America, Europe, Asia-Pacific, and Latin America, including both publicly traded biopharmaceutical companies and private longevity biotechnology firms
Product mapping across senolytics (BCL-2 inhibitors, tyrosine kinase inhibitors), mTOR pathway modulators, NAD+ biosynthesis enhancers (nicotinamide mononucleotide, nicotinamide riboside), sirtuin-activating compounds (STACs), advanced glycation end-product crosslink breakers, telomerase activators, and mitochondrial dysfunction therapeutics
Analysis of reported and modeled annual revenues specific to anti-aging therapeutic portfolios, including off-label pharmaceutical sales and nutraceutical/cosmeceutical hybrid products
Coverage of manufacturers and research institutions representing 65-70% of global market share in 2024
Extrapolation using bottom-up (treatment volume × average selling price by therapeutic class and geography) and top-down (manufacturer revenue validation, venture capital funding correlation, and longevity clinic service revenue integration) approaches to derive segment-specific valuations for pharmaceutical interventions versus preventive supplementation
Key Methodological Adaptations for Anti-Ageing Therapeutics:
Regulatory Tracking: Emphasis on FDA's Emerging Technology Program and EMA's Innovation Task Force (ITF) briefing meetings for novel longevity indications
Scientific Validation: Cross-referencing with TAME (Targeting Aging with Metformin) trial protocols and TĘ Trials design standards
Commercial Intelligence: Monitoring of direct-to-consumer telemedicine platforms and longevity clinic chains (e.g., AgelessRx, Humanity Inc., InsideTracker partnerships)
Demographic Correlation: Integration of WHO Decade of Healthy Ageing baseline metrics and national healthspan statistics versus traditional lifespan data