Data-driven innovation is a research concept and methodological approach focused on leveraging data to generate novel insights, develop transformative products, services, or processes, and create significant value. This field investigates the principles, techniques, implementation strategies, and societal impacts of systematically applying data analysis and predictive modeling to drive innovation. Characterized by its reliance on empirical evidence, analytical rigor, and potential for disruptive change, data-driven innovation holds profound significance for organizational competitiveness, industrial transformation, and societal advancement.