Self-regulated learning (SRL) has emerged as a pivotal construct in contemporary educational research, particularly within the context of language acquisition. This study investigates the intricate interplay between language learning strategies, motivation, and self-regulation, emphasizing their cumulative influence on speaking proficiency among English as a Foreign Language (EFL) learners. Drawing from a synthesis of theoretical frameworks and empirical studies, the research examines cognitive, metacognitive, and socio-affective strategies, highlighting the nuanced ways in which learners navigate the complexities of oral communication in English. Prior literature underscores the pivotal role of learner autonomy, goal setting, and strategic planning in enhancing speaking efficacy (Abdul Rahman, 2015; Aregu, 2013). Moreover, motivation has been consistently linked to learners’ willingness to engage in practice opportunities and overcome affective barriers (Chang & Liu, 2013; Artino & Stephens, 2007). This study adopts a descriptive-analytical approach, integrating qualitative and quantitative perspectives to provide a comprehensive understanding of strategy utilization and self-regulatory behaviors in EFL contexts. The findings elucidate that learners who employ structured self-regulated learning strategies demonstrate higher engagement, increased speaking confidence, and measurable improvements in oral performance. Importantly, the study highlights the significance of feedback mechanisms, reflective practices, and personalized learning pathways as catalysts for sustained improvement. The discussion critically evaluates existing pedagogical approaches, identifies potential limitations in current instructional designs, and proposes future research avenues aimed at optimizing speaking instruction for diverse EFL populations. The implications of this research extend beyond the immediate classroom environment, offering insights for curriculum designers, teacher educators, and policymakers interested in fostering effective language learning ecosystems that integrate cognitive, motivational, and metacognitive dimensions.