Soochow Securities·2026-01-09 11:04Investment Rating - The report recommends an "Overweight" rating for the gas turbine industry, anticipating a strong performance due to high demand and limited supply [5][73]. Core Insights - The gas turbine industry is expected to enter a new upward cycle driven by the accelerating demand for electricity from AI data centers, with a significant supply-demand mismatch [3][11]. - The global gas turbine market is dominated by major players such as Siemens, GE, and Mitsubishi, but there is substantial potential for domestic manufacturers to capture market share through localization and partnerships [3][25]. - The report highlights specific companies that are well-positioned to benefit from this trend, including Jereh, Yingliu, Haomai Technology, and Lande [3][73]. Summary by Sections 1. Industry Overview - The gas turbine industry is experiencing a significant upturn, characterized by a supply-demand mismatch, with global gas turbine orders exceeding 80 GW while actual deliverable capacity is below 50 GW [3][32]. - The demand for gas turbines is being driven by the rapid growth of AI data centers, which require reliable and stable power sources [3][11]. 2. Domestic Manufacturers - Domestic gas turbine manufacturers are expected to benefit from the increasing demand and the potential for localization of production [3][25]. - Jereh has secured substantial orders from leading AI companies, indicating strong market acceptance and growth potential [3][39]. - Yingliu is focusing on high-value turbine blades, which are critical components in gas turbines, and is well-positioned for growth as domestic production increases [3][57]. 3. Investment Recommendations - The report suggests focusing on companies with high order visibility and strong growth potential, such as Jereh for its gas turbine generator sets, Yingliu for turbine blades, Haomai Technology for turbine components, and Lande as a supplier to Caterpillar [3][73]. - The expected growth in the gas turbine market is supported by the increasing electricity demand from AI data centers and the limitations in supply capacity [3][32].