The Commercialization of Plant-Based Bioactive Compounds: Challenges, Market Opportunities and Strategic Pathways for Biopharma Firms
Main Article Content
Abstract
Plant-based bioactive compounds occupy an important position between natural-resource science and modern biopharmaceutical development, yet commercial translation remains constrained by raw-material variability, inconsistent standardisation, limited bioavailability, uneven clinical evidence, regulatory heterogeneity, manufacturing constraints and uncertain market positioning. This review systematically and critically examines these barriers, evaluates market opportunities, and identifies strategic pathways for biopharma firms. A PRISMA 2020-guided review framework was applied across multidisciplinary literature covering plant-derived bioactives, therapeutic development, formulation, regulation, scale-up, and commercial translation. Forty studies were retained for qualitative synthesis after screening. The findings show that commercialization depends on coordinated performance across scientific validity, technological reproducibility, clinical credibility, regulatory fit, manufacturing scalability, supply security, intellectual-property strategy, and market attractiveness. The evidence also identifies differentiated opportunities across phytopharmaceuticals, botanical drugs, nutraceuticals, advanced delivery systems, and sustainability-linked value chains. An evidence-to-market commercialization-readiness framework is proposed to support staged biopharma decision-making, with emphasis on product definition, early standardisation, formulation, evidence alignment, cross-sector partnerships and scalable manufacturing. Overall, plant-based bioactives are most commercially credible when scientific promise is converted into standardized, clinically anchored and economically scalable product propositions. The review emphasizes that market attractiveness should be assessed with evidence maturity, regulatory feasibility, supply resilience, and the cost of reducing development uncertainty
