Minds Study: Barriers to Hydrogen Truck Adoption in Long-Haul Transport

Methodology

A comprehensive simulation of German logistics decision-makers on the Minds platform shows that 72 percent of fleet managers see the insufficient redundancy of hydrogen infrastructure in long-haul transport as their biggest hurdle. These results were validated using real data from the Statistisches Bundesamt, proving the high accuracy of the Minds simulation models.

This study is based on a highly precise target audience simulation with 500 synthetic profiles of logistics and fleet managers in Germany. These profiles were calibrated using the three-stage model from Minds. In the first stage, data anchoring, real CRM data, industry surveys, and market studies were used to establish a solid empirical foundation. In the second stage, the simulation model, demographic and psychographic characteristics as well as the decision-making behavior of B2B buyers in the transport sector were modeled. In the third stage, validation, the data was cross-referenced with official statistics from the Statistisches Bundesamt and established benchmarks from Kantar.

Minds is not just a simple chatbot, but a professional research infrastructure. By simulating up to 10,000 responses per run, complex B2B decision-making processes can be analyzed in less than an hour. This is done in a fully GDPR-compliant manner on European servers, without processing any personal data from real participants. The average alignment with physical panels is between 85 and 95 percent, with specific questions reaching up to 100 percent alignment.

Infrastructure Bottlenecks in Long-Haul Transport: The Fear of Stranding

Unlike urban distribution, where vehicles can return to their own depot in the evening to recharge, heavy-duty B2B long-haul transport relies on a comprehensive and highly reliable public refueling infrastructure. The simulation shows that 72 percent of surveyed fleet managers classify the lack of redundancy in Germany's current hydrogen refueling network as a critical risk. If a fuel cell truck gets stranded on a just-in-time route due to a defective or overloaded refueling station, companies face severe contractual penalties and a loss of customer trust.

Although the federal government launched a new 220 million euro funding program in early 2026 to build an initial network of hydrogen refueling stations and purchase fuel cell commercial vehicles, skepticism in practice remains high. While the required combined packages of refueling stations and vehicles are intended to secure basic utilization, this network is still far from sufficient for comprehensive long-haul routes.

The simulation highlights that freight forwarders in long-haul transport cannot compromise on route flexibility. While fixed routes can be planned in regional transport, long-haul trucks must be able to react flexibly to traffic jams, road closures, or short-term order changes. A sparse network of H2 refueling stations severely limits this flexibility and makes economic daily operations almost impossible.

The TCO Calculation: Profitability in Fierce B2B Competition

Another central aspect of the simulation concerns the Total Cost of Ownership (TCO). For 64 percent of logistics decision-makers, the TCO calculation is the decisive factor against purchasing hydrogen trucks at this time. The acquisition costs of a fuel cell truck remain significantly higher than those of a comparable diesel model. Although government subsidies exist, they only cover a portion of the additional investment costs and are often tied to bureaucratic hurdles.

The price of green hydrogen is viewed with particular criticism. While there are promising collaborations, such as the one between hylane and H2 MOBILITY, which aim for a hydrogen price of around 8 euros per kilogram at selected refueling stations starting in 2026, this price has so far been highly limited regionally. For profitable operations in nationwide or cross-border long-haul transport, this price would need to be guaranteed across the board.

In addition, political uncertainty regarding toll exemptions for zero-emission commercial vehicles is causing hesitation. The toll exemption is currently the strongest economic lever to compensate for the higher acquisition costs. If this regulation were to be overturned or modified in the coming years, the payback period for hydrogen trucks would extend drastically. The simulation shows that procurement managers demand long-term planning security here before making million-euro investments.

Refueling Times and Operational Flexibility on Long-Haul Routes

In addition to infrastructure and costs, the technical parameters of the vehicles play a crucial role. In long-haul transport, ranges of around 1,000 kilometers and short refueling times of under 15 minutes are the standard set by diesel trucks. Hydrogen trucks theoretically promise to meet these requirements, offering a clear advantage over battery-electric vehicles (BEVs), whose heavy batteries can also limit payload.

However, the simulation shows that the practice of hydrogen storage still raises questions. Currently, 350-bar pressure storage systems dominate the market, but they only allow for ranges of about 400 kilometers. For true long-haul transport, 700-bar systems or liquid hydrogen (sLH2) are required. However, some of these technologies are still in the testing phase or suffer from an extremely sparse refueling station network.

In the simulation, logistics decision-makers point out that while legally mandated driving and rest times can theoretically be used for charging, the reality at highway service stations is often very different. Overcrowded parking lots and a lack of charging or refueling points make minute-by-minute planning impossible. Here, the hydrogen truck theoretically offers an advantage due to its fast refueling, but this can only be leveraged if the refueling stations are actually vacant and operational.

Validation and Methodology: Why Simulations Are Revolutionizing Market Research

The results of this simulation highlight how valuable precise target audience insights are for vehicle manufacturers and infrastructure operators. Instead of conducting weeks of costly surveys with hard-to-reach B2B decision-makers, Minds delivers these deep insights in less than an hour. Calibration against established demographic and psychographic models ensures that the simulated personas act exactly like real buyers.

By cross-referencing with real data sources such as the Statistisches Bundesamt and benchmarks from Kantar, a level of validity is achieved that is in no way inferior to traditional panels. For manufacturers of heavy commercial vehicles, this means they can test product concepts, marketing claims, and pricing models before physical prototypes are on the road or expensive field trials are launched.

Minds offers these simulations at a fraction of the cost of a traditional panel, without the time-consuming recruitment processes for each individual participant. This enables agile product development and a drastic reduction in the risk of failure when launching new technologies in the commercial vehicle segment. However, it should be noted that Minds is not designed for clinical trials, representative price elasticity analyses, or political polling.

For manufacturers of heavy commercial vehicles and players in the H2 infrastructure sector, now is the time to precisely analyze the objections and needs of their target audience. Use B2B simulations from Minds to secure your market strategy and understand sales barriers in detail. Book a methodology call today or start a paid pilot project to experience the precision of our platform for yourself. Learn more about our flexible usage models and view pricing directly on getminds.ai at getminds.ai.