Core Insights - The report by IDC indicates that the Chinese edge cloud market is projected to reach a total scale of 7.39 billion RMB in the second half of 2024, with a year-on-year growth rate of 18.6% [1] - Key drivers for market growth include internet audio and video distribution, real-time interaction, diversified AI training and inference, cloud network services, cloud gaming, and lightweight IT architecture migration for local industry clients [1][2] Market Overview - In the second half of 2024, lightweight model training and related processing in edge environments have become focal points for clients, stimulating rapid growth in the public and dedicated edge cloud service segments, maintaining an annual growth rate close to 20% despite a slowdown in existing demand from the internet sector [3] - Although large-scale data centers have deployed significant heterogeneous computing resources, the actual use of edge heterogeneous resources and products by industry clients remains in the early stages [3] - Major service providers are accelerating the expansion of edge nodes in hotspot areas, offering basic heterogeneous computing leasing, scheduling, and inference API services, while developing two clear growth paths: building large model API aggregation platforms and enhancing edge AI ecosystem collaboration [3][4] Market Outlook - The IDC has updated its long-term growth expectations for the edge cloud market, forecasting a compound annual growth rate of 20.3% from 2024 to 2029 [7] - The focus of clients and service providers has shifted towards edge AI and overseas edge scenarios, which are expected to bring significant incremental growth to the edge cloud market, potentially impacting existing resource structures and service output systems [9] - If services based on multimodal large models and audio-video AI can achieve large-scale promotion in the consumer market, edge cloud will continue to play a unique role in alleviating bandwidth pressure on core backend architecture and reducing long-term operational costs [9]