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In technology-driven industries characterized by rapid disruption and hyper-connectivity, conventional strategic planning rooted in historical patterns proves insufficient for sustaining competitive advantage. Organizations must shift from reactive postures to anticipatory strategies that harness digital data signals and convert them into predictive insights. This article presents a novel conceptual framework—the Digital Anticipatory Foresight Architecture (DAFA)—designed to embed strategic foresight as a core organizational capability. By integrating weak-signal detection, advanced analytics, scenario synthesis, and adaptive decision loops, the framework enables early market sensing and proactive responses. The DAFA comprises five interdependent layers that transform fragmented digital inputs into foresight-informed actions while maintaining continuous feedback for organizational learning. By bridging environmental scanning, predictive modeling, and strategic alignment, the architecture addresses critical gaps in existing literature on corporate foresight and digital sensing. Practical implications include enhanced resilience, greater innovation capacity, and faster decision-making in volatile digital markets. Theoretical contributions refine the conceptual foundations of anticipatory strategy, offering a blueprint for future research on technology-enabled foresight systems. The proposed model equips leaders to navigate uncertainty by treating digital signals as strategic assets rather than operational noise.