Core Insights - The integration trend among global communication software BSS and OSS vendors is intensifying, driven by the need for digital transformation in the industry, with Agentic AI emerging as a key engine for this transition [1][3][4] Group 1: Vendor Integration - The acceleration of vendor integration in the BSS/OSS sector is linked to the large-scale application of 5G, rapid development of computing networks, and the convergence of the digital economy [2][3] - Major acquisitions are expected to occur, such as NEC's $2.9 billion acquisition of CSG Systems International, set to be completed in 2026, and the merger between Skyworks and Qorvo, valued at approximately $22 billion [2] - The consolidation is seen as a structural necessity for the industry's transition from "digital connectivity" to "intelligent native" stages, focusing on efficient resource orchestration and value realization [3] Group 2: Rise of Agentic AI - Agentic AI is becoming a major trend in the communication industry, surpassing traditional generative AI due to its autonomous decision-making and end-to-end execution capabilities [4][5] - The technology is expected to address complex issues arising from vendor integration, such as data silos and system compatibility, making it a critical support for industry transformation [1][4] - Future applications of Agentic AI in the communication sector include intelligent network planning, security protection, and energy management, which will drive further smart and efficient advancements in the industry [5][6] Group 3: Market Predictions - OMDIA predicts that communication operators may increasingly use generative AI-based coding tools to build more BSS/OSS systems internally, potentially reducing reliance on system integrators and independent software vendors [4] - The most promising application scenarios for Agentic AI in the next 1-3 years include intelligent network slicing management, supply chain optimization, and the development of a "communication brain" for predictive resource deployment [6]