Introduction Agri-tech enterprises require innovative business models and market entry strategies to achieve financial sustainability amid rapid technological adoption. This study investigates how business model innovations (BMIs) and market entry approaches influence financial performance metrics in agri-based firms, addressing a critical gap in empirical financial analysis of agritech ecosystems. Methods Systematic bibliometric analysis of 620 Scopus-indexed articles using VOSviewer network mapping identified 52 core studies (PRISMA-compliant). Content analysis extracted dominant BMIs and market strategies. Regression modeling assessed financial outcomes across four entry strategies: direct export, franchising, joint ventures, and digital platforms, using ROI, net profit margin, and payback period as dependent variables. Results Ten dominant BMIs emerged: contract farming, precision agriculture, digital marketplaces, AI decision systems, blockchain traceability, and product-as-a-service models. Digital platform entry yielded highest ROI (β = 0.42, p 0.01) and profitability. Market size and capital investment significantly predicted success ( R 2 = 0.67, F = 45.3, p 0.001). Bibliometric clusters confirmed precision agriculture and digital platforms as research hotspots. Discussion Osterwalder's Business Model Canvas and Triple-Layered BMC provide optimal frameworks for agri-fintech scaling. Digital market entry maximizes returns while enhancing sustainability. Policymakers should prioritize digital infrastructure and agri-startup financing to accelerate adoption. Findings guide investors toward high-ROI agritech opportunities balancing innovation with financial viability.
Swapandeep Kaur (Fri,) studied this question.