Modern product lifecycles have become structurally complex due to accelerated innovation cycles, digital platform dependencies, and volatile market conditions. Traditional lifecycle management models, which assume linear progression from development to maturity and decline, fail to capture the systemic interdependencies shaping contemporary markets. This paper develops a systems-based framework for managing product lifecycle complexity by integrating innovation governance, risk modeling, and strategic market timing. Drawing from systems theory, innovation diffusion research, and risk management literature, the study conceptualizes the product lifecycle as an adaptive system rather than a sequential process. It proposes a governance model that aligns innovation intensity, risk exposure, and timing decisions across lifecycle stages. The paper contributes to theory by reframing lifecycle management as systemic orchestration and offers managerial implications for technology-driven enterprises navigating dynamic competitive environments.