February 21, 2024

Locomotive Leasing Market Is Expected To Driven By Growth Of Transport Infrastructure

The locomotive leasing market plays a critical role in providing railway operators an alternative to owning locomotives. Locomotives are used for hauling freight or passenger rail cars between destinations on scheduled fixed tracks. They help transport goods and people efficiently over long distances. Locomotive leasing provides flexibility to railway operators to customize their fleet depending on traffic demand. It reduces capital expenditure and shifts operating costs to running expenses through monthly rental payments.

The global Locomotive Leasing Market is estimated to be valued at Us$ 10.07 Billion in 2023 and is expected to exhibit a CAGR Of 4.3% over the forecast period 2023 To 2030, as highlighted in a new report published by Coherent Market Insights.

Market key trends:

One of the key trends in the locomotive leasing market is the growing adoption of electric locomotives. Several countries are investing heavily in electrification of existing rail routes to reduce dependency on fossil fuels. Electric locomotives have significantly lower maintenance costs compared to diesel locomotives. They also have strong acceleration and hauling capability ideal for freight transportation. Many railway operators are opting for leased electric locomotives to upgrade their fleets. For example, in 2021, VTG Rail Europe signed an agreement with Siemens Mobility to lease 20 electric locomotives for freight transportation in Germany and neighboring countries. Such initiatives are encouraging other operators to adopt electric locomotives on lease to lower emissions from transportation.

Porter’s Analysis

Threat of new entrants: The threat of new entrants is moderate as the locomotive leasing market involves high initial costs for locomotives, infrastructure, approvals and certification requirements.

Bargaining power of buyers: The bargaining power of buyers is high as buyers can negotiate lower rates due to existence of multiple locomotive lessors.

Bargaining power of suppliers: The bargaining power of suppliers is low as lessors depend on few locomotive OEMs for their rolling stock needs.

Threat of new substitutes: The threat of substitutes is low as there are limited alternative modes of transportation for freight.

Competitive rivalry: The competitive rivalry is high due to presence of global and regional leasing companies competing on service quality, reliability and pricing.

Key Takeaways

The Global Locomotive Leasing Market Demand is expected to witness steady growth over the forecast period. The global locomotive leasing Market is estimated to be valued at US$ 10.07 Billion in 2023 and is expected to exhibit a CAGR of 4.3% over the forecast period 2023 to 2030.

Asia Pacific region currently dominates the market and is expected to maintain its lead driven by increasing trade volumes and industrial expansions in India and China. Countries like India are expected to see growth in the freight segment which will drive traction for leased locomotives.

Key players operating in the locomotive leasing market are John Crane, Eagleburgmann, Flowserve Corporation, AESSEAL Plc, Meccanotecnica Umbra Spa, Vulcan Engineering Limited, Garlock, Sichuan Sunny Seal Co. Ltd, Sulzer Ltd, James Walker. These players are focusing on expansion in high growth regions through acquisition strategies, innovations in digital technologies and services. Locomotive leasing helps utilities and mining companies to meet seasonal demands without large capital investments.

The North American region remains a key market supported by significant freight transport activities in US and Canada. Major lessors have adopted conditioning-based monitoring solutions and remote diagnostics tools to optimize maintenance cycles and improve uptime. However, downturn in few commodities markets may negatively impact demand from certain end use industries in the near term.

Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it