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The integration of edge computing with SDDC is expected to gain prominence. As organizations leverage edge computing for real-time processing of data closer to the source, the SDDC market may see increased efforts to extend software-defined principles to edge environments. This integration aims to enhance agility and resource management for distributed computing architectures. Besides, the incorporation of Artificial Intelligence (AI) and Machine Learning (ML) into SDDC solutions is anticipated to grow. Intelligent automation and analytics powered by AI and ML can optimize resource allocation, enhance predictive maintenance, and improve overall efficiency in data center operations. This trend aligns with the broader industry shift toward more autonomous and self-optimizing infrastructure.