ARTIFICIAL INTELLIGENCE DRIVEN ENTREPRENEURSHIP ANALYTICS FOR SUSTAINABLE STARTUP GROWTH AND COMPETITIVE BUSINESS PERFORMANCE

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology that is reshaping entrepreneurial ecosystems by enabling intelligent decision-making, predictive analytics, and data-driven business strategies. This study examines the role of Artificial Intelligence-driven entrepreneurship analytics in promoting sustainable startup growth and enhancing competitive business performance through a descriptive research approach. The study is based entirely on secondary data collected from Scopus-indexed journals, books, industry reports, government publications, and reports from international organizations. The collected information is analyzed using descriptive, thematic, and comparative analytical techniques to identify the applications and strategic benefits of AI in entrepreneurship. The findings indicate that AI-driven analytics significantly improves opportunity recognition, market forecasting, customer relationship management, innovation capability, operational efficiency, and strategic resource allocation.
Furthermore, AI enables startups to achieve sustainable growth by reducing operational costs, enhancing productivity, supporting data-driven innovation, and improving organizational adaptability in dynamic business environments. The study also identifies major challenges associated with AI adoption, including financial constraints, inadequate digital infrastructure, data privacy concerns, and shortages of skilled professionals. The study concludes that AI-driven entrepreneurship analytics has become a strategic capability that strengthens startup resilience, fosters sustainable business development, and enhances competitive performance. The findings provide valuable insights for entrepreneurs, policymakers, researchers, and startup support organizations seeking to leverage AI technologies for long-term business success and sustainable economic development.