Technopreneurship and AI Innovation: Exploring Digital Startup Trends through Online Search Data Analysis
DOI:
https://doi.org/10.37476/presed.v3i1.96Keywords:
AI startup, digital innovation, online search trends, entrepreneurship analyticsAbstract
The integration of artificial intelligence (AI) and entrepreneurship has accelerated the evolution of technopreneurship, reshaping innovation and business creation in the digital economy. This study investigates the dynamics of public interest in AI-driven startups and digital innovation using Google Trends data from 2018 to 2024. A quantitative exploratory approach was applied through Python-based data science techniques, employing libraries such as Pandas, Matplotlib, and scikit-learn for time-series visualization, correlation measurement, and k-means cluster analysis. The results reveal a significant surge in online attention during the COVID-19 pandemic (2020–2021), followed by a stabilization phase as AI adoption matured. Regional analysis shows that emerging economies particularly Indonesia and India exhibit rapidly increasing engagement, indicating an expanding digital entrepreneurial ecosystem. Cluster and keyword association analyses identify three dominant innovation themes: AI automation, fintech integration, and sustainable technopreneurship, reflecting the multidimensional nature of modern digital entrepreneurship. The findings confirm that online behavioral data serve as an effective early indicator of innovation diffusion and ecosystem readiness. This research underscores the potential of combining Google Trends analytics and Python-based data science as a strategic framework for understanding and forecasting global technopreneurial development.
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