Abstract

In 2021, small and medium enterprises (SMEs), constituting 90% of global businesses, face mounting pressure to transform digitally in data-driven business environments to remain competitive. Limited resources, technical expertise, and strategic clarity hinder their digital maturity, with only 20% leveraging data analytics effectively. This paper proposes digital maturity frameworks tailored for SMEs, integrating data analytics, process optimization, and organizational change management to drive transformation. Using a mixed-method approach, the study combines a literature review of 100 peer-reviewed articles and industry reports (2015–2021), framework development, and pilot testing with 30 SMEs across retail, manufacturing, and services in Europe, North America, and Asia. The framework achieves a 35% improvement in digital capability adoption, reduce operational costs by 25%, and enhance data-driven decision-making by 40%. Key findings highlight scalability across diverse SME sizes (10–250 employees), affordability ($5,000–$20,000 implementation), and alignment with standards like ISO 9001. Challenges include digital literacy gaps, legacy system integration, and funding constraints, while opportunities involve cloud-based analytics, AI adoption, and public-private partnerships. The study contributes to digital transformation literature by offering a practical, SME-focused framework bridging technical, operational, and strategic needs. For SMEs, it provides actionable tools to enhance competitiveness; for policymakers, it offers strategies to promote digital inclusion; and for researchers, it lays a foundation for exploring AI-driven maturity models. Future directions include SME-specific AI tools, blockchain for data trust, and frameworks for developing regions. By addressing these issues, this paper underscores the transformative potential of digital maturity frameworks in empowering SMEs for data-driven success.