International Science Community Association Research Journal of Computer and Information Technology Sciences 14 1 2026 06 20 Predictive Cache Coherence: Current Techniques and Future Trends 11 17 EN Deshmukh Deepak Kumar 1 School of Studies in Computer Science & I.T., Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, India Kumar Sanjay 2 School of Studies in Computer Science & I.T., Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, India Kashyap Mukesh 1 S.o.S. in Computer Science & IT, Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, India Kumar Sanjay 2 S.o.S. in Computer Science & IT, Pt. Ravishankar Shukla University, Raipur, Chhattisgarh, India Jain Swati 3 Govt. J. Yoganandam Chhattisgarh College, Raipur, Chhattisgarh, India > Review Paper 2025 11 30 2026 06 20 The rapid evolution of multicore, manycore, and heterogeneous processor architectures has intensified the challenges of maintaining efficient cache coherence. Traditional reactive protocols, such as MESI and MOESI, struggle to scale due to increased latency, interconnect congestion, and energy overhead. Predictive Cache Coherence (PCC) has emerged as a promising paradigm that anticipates memory access patterns and proactively manages cache state transitions, thereby reducing coherence miss penalties and optimizing system performance. This paper provides a comprehensive review of PCC techniques, including history based, heuristic driven, machine learning based, hybrid, and speculative approaches. We analyse their methodologies, performance trade-offs, hardware overhead, and scalability across diverse architectures, highlighting the comparative advantages and limitations of each strategy. Furthermore, we identify key research gaps, including prediction accuracy under dynamic workloads, hardware constraints, standardized evaluation frameworks, security considerations, and challenges in integrating PCC into emerging system architectures such as chiplets and disaggregated memory. Finally, we outline future research directions aimed at developing lightweight, adaptive, and secure predictive coherence mechanisms that can sustain high performance and energy efficiency in next generation computing systems. Copyright@ International Science Community Association