Overseas gas turbines are experiencing supply constraints, making gas generators the optimal alternative solution. The gas generator market is expected to see rapid growth. Domestic suppliers, leveraging competitive product advantages, global localized delivery capabilities, rapid production expansion responsiveness, and cost control abilities, are poised to quickly integrate into the overseas gas turbine supply chain system, achieving accelerated growth.
Gas generators are set to become the preferred substitute for gas turbines. With continuous growth in power demand from U.S. data centers and a supply gap in gas turbines—major manufacturers have orders scheduled through 2029–2030—data center developers are seeking alternatives. Distributed data centers primarily use gas turbines, gas generators, and solid oxide fuel cells as main power sources, while diesel generators serve mainly as backup power. Gas generators offer advantages in delivery speed and flexibility, positioning them as the top alternative for data center primary power amid gas turbine shortages.
The overseas gas generator market holds substantial potential. Before 2030, supply-side constraints, rather than demand, are expected to be the main limiting factor for U.S. data center power. Based on institutional forecasts and U.S. data center project plans—factoring in gas turbine capacity shortages and the flexible deployment benefits of gas generators—it is estimated that gas generators will capture a certain share of data center power equipment, with redundancy provisions. Projected demand for gas generators in U.S. data centers by 2030 is approximately RMB 99.4 billion, with a compound annual growth rate of around 17% from 2026 to 2030.
The gas generator industry chain encompasses upstream, midstream, and downstream segments. Upstream components include gas engines, generators, control systems, cooling systems, exhaust aftertreatment systems, and additional parts such as bases and shock absorbers. The engine is the core component of a gas generator set, while the aftertreatment and heat exchange cooling systems are also critical. The cooling system consists of heat exchangers, three-way valves, water pumps, control systems, expansion tanks, thermostats, and radiator components. U.S. data center generator sets face stringent emission requirements, making exhaust aftertreatment a systematic integration challenge with high technical barriers, involving specialized system design, integration capabilities, catalyst formulation, and temperature control.
Market share in the gas generator sector is concentrated among leading players. According to Business Insider, Caterpillar holds the largest share of the U.S. data center backup power market at 42%, followed by Cummins and MTU at 24% and 21%, respectively. In the gas generator segment, Intelmarket Research indicates that Caterpillar and INNIO are leading companies, together accounting for approximately 44% of the global market share. As an industry leader with strong expansion intentions and substantial order backlogs, Caterpillar is expected to capture a major share of the U.S. data center gas generator market.
Domestic suppliers are integrating into the overseas gas turbine chain to achieve higher growth. Against the backdrop of rapidly growing overseas demand for gas generator sets and limited expansion capacity among foreign suppliers, domestic companies with strong competitiveness in global delivery, overseas customer resources, rapid response, synchronous development and integration capabilities, and cost control are better positioned to enter the overseas supply chain. These suppliers can secure customer project approvals and steadily increase market share, driving further growth. Companies such as Yinlun and Weichai Power have already secured orders for overseas data center generator projects.
Risks include gas generator orders falling below expectations, slower-than-expected progress in overseas expansion for domestic gas turbine chain companies, intensified market competition, and potential impacts on projections due to changes in underlying assumptions.