In an era defined by rapid digital transformation, the successful adoption of innovative products within digital ecosystems remains uneven and often delayed. This introduces a Multi-Stakeholder Innovation Acceleration Model (MSIAM) designed to enhance product adoption by aligning the incentives, capacities, and contributions of diverse actors within digital ecosystems. Drawing from theories of innovation diffusion, platform economics, and stakeholder co-creation, the model addresses the fragmentation and asymmetry that frequently impede innovation uptake in complex digital environments. The MSIAM proposes a layered architecture comprising governance, technical, and market engagement components. At the governance layer, shared ethical frameworks and adaptive regulatory approaches foster trust and accountability. The technical layer emphasizes interoperability standards, sandbox environments, and modular design principles to enable scalable experimentation. At the market engagement level, the model promotes inclusive pilot programs, demand-side incentives, and co-design processes to strengthen end-user participation and relevance. This also explores key enabling technologies—such as AI, federated data infrastructures, and blockchain—that support secure and collaborative innovation pathways. Real-world application scenarios in healthtech, fintech, and agritech demonstrate how multi-stakeholder partnerships can bridge the gap between product development and market integration, particularly in low- and middle-income countries (LMICs). However, the model also recognizes systemic challenges, including governance complexity, data sovereignty issues, and the risk of elite capture. Accordingly, it offers strategic recommendations for policymakers, industry leaders, and development partners to ensure ethical alignment, long-term sustainability, and inclusive growth. The MSIAM represents a scalable and adaptive approach to digital innovation governance. By fostering proactive collaboration among regulators, innovators, users, and funders, it advances a more equitable and resilient digital future. Future research should focus on developing metrics for stakeholder performance, co-creating ethical AI frameworks, and piloting decentralized governance models across diverse digital contexts.