Huaan Securities·2025-10-28 07:49Group 1: Power Equipment Industry Overview - The domestic power grid investment has shown rapid growth, with a total investment of 379.6 billion yuan from January to August 2025, representing a year-on-year increase of 14.0%, driven by the significant rise in new energy installed capacity and the demand for ultra-high voltage and distribution network construction [3][13][21] - The bidding amount for the first four batches of ultra-high voltage equipment by the State Grid reached 68.179 billion yuan, a year-on-year increase of 22.9%, indicating a strong growth momentum in the power equipment sector [3][13][19] - The overseas market for power equipment remains robust, with transformer exports totaling 5.338 billion USD from January to August 2025, reflecting a year-on-year growth of 38.0%, driven by demand from North America and other regions [4][33][36] Group 2: Industrial Control Sector - The industrial control market is gradually recovering, with the OEM market experiencing a rebound due to the recovery of emerging industries, while traditional industries show signs of weak recovery [5][12] - In the first half of 2025, revenue and profit for industrial control companies have shown marginal improvement, indicating a positive trend towards recovery [5][12] - The market share is expected to concentrate towards leading domestic industrial control enterprises, which will support the industry's upward trajectory [5][12] Group 3: AI-Driven Demand and Investment - The rise of AI is expected to significantly boost power demand, with the U.S. projected to invest between 170 billion to 340 billion USD in data center power generation, grid, and storage by 2030 [39][40] - Major AI companies are anticipated to increase capital expenditures, with overseas firms expected to reach 336.373 billion USD in 2025, a year-on-year increase of 54.82% [52][53] - The shift from traditional data centers to intelligent computing centers (AIDC) is driving the need for enhanced power supply and infrastructure, as AI applications require substantial computational resources [51][58]