Strategic Market Entry Approaches of U.S. Start-Ups
Year: 2025
Type: article
Abstract: In a start-up economy defined by volatility, velocity, and fierce competition, the path to sustainable success often begins with a single, high-stakes decision: how to enter the market. This study critically examines the strategic market entry approaches of U.S. start-ups, using a sector-specific lens focused on technology, healthcare, and consumer services. Through a quantitative, cross-sectional research design, and leveraging secondary data from 30 high-profile start-ups founded between 2015 and 2023, the study employs a multiple linear regression model to evaluate the influence of key strategic variables—entry mode, capital structure, time-to-market, team composition, and sector type—on early-stage success. The findings indicate that initial capital raised, mode of entry, and speed of market entry are the most powerful predictors of performance during the first 24 months post-launch. Platform-based strategies proved most effective in the tech and consumer sectors due to scalability and user acquisition efficiency, while healthcare start-ups thrived under partnership-driven models emphasizing credibility and compliance. The analysis reveals that success is not merely a function of innovation, but of strategic fit between market conditions, internal capabilities, and timing. Grounded in the Resource-Based View (RBV) and the Uppsala Internationalization Model, this study contributes a rare blend of theoretical rigor and real-world relevance. It offers a sectoral blueprint for founders, investors, and accelerators seeking to design adaptive and evidence-based market entry strategies. In doing so, it challenges the myth of universal execution models and underscores the enduring importance of sector intelligence, resource alignment, and strategic timing in the entrepreneurial journey.
Author: NZE, MARKANTHONY
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7092402156
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