Transport Statistics 2025: What the HUBBIG Market Looked Like in 2025

transport statistics 2025

There are two kinds of “statistics”: the kind you read and forget — and the kind that literally helps you react faster, plan better, and seize more opportunities.

This is exactly the second kind.

In the period from 01.01.2025. to 31/12/2025. On the HUBBIG platform, 1,015 transport requests were published. At first glance, the number may sound like just another figure. But once you put it into context, the story becomes far more interesting: each request is sent, on average, to 175 email addresses. In other words, when a request appears, it is often “opened up” to a large number of contacts at the same time. The market does not wait. The market is captured.

When does the market “heat up” the most?

If you had the feeling that the most activity happens in the middle of the week — you were right.

The highest number of requests in 2025 came on Wednesdays and Thursdays: Thursday had 224 requests, and Wednesday 221. Tuesday followed closely behind with 205, while Monday and Friday — the beginning and the end of the week — showed a slight decline (187 and 178, respectively).

Why does that matter? Because in operations, the problem is often not whether there is work, but when it makes the most sense to be fully prepared. If you have room to organize your week strategically, these days are the logical point at which it pays to be fastest in your response — because that is exactly when the greatest number of opportunities appears.

Which routes carried the year?

When you look at movement across routes, 2025 showed a very clear pattern: a large share of demand was directed toward Croatia, with two countries standing out in particular. The highest number of requests came on the Italy → Croatia route (178), followed by Germany → Croatia (131). You can see the rest in the image below:

Transport Statistics 2025 – Routes

This is a clear signal of where opportunities opened up most often in 2025 and where it made sense to maintain a presence. If you are planning with the year ahead in mind, this is an excellent “compass” for planning routes, capacities, or even agreements with partners.

Which vehicle types were in highest demand?

The picture is just as clear when it comes to vehicle types: the dominant share of requests in 2025 related to standard options that form the backbone of the market. The most requested vehicle types were:

Transport Statistics 2025 – Vehicles

How can you get more out of HUBBIG without creating extra work?

First, the greatest benefit comes from one simple rule: respond to the requests that fit your business — and do it as quickly as possible. Given that each request is sent, on average, to around 175 addresses, it is clear that “I’ll reply later” often ends up meaning “I’ll reply too late.”

Second, profiles need to reflect reality. The data on the “number of requests per carrier” shows that certain profiles enter distribution far more often. The reason is usually very practical: they have set up routes and vehicle types that match what is actually being requested.

Third, it is worth thinking in terms of rhythm. If the highest number of requests comes in on Wednesdays and Thursdays, that is a strong signal of when it is most important to be operationally ready: check your inbox, respond quickly, and make the most of the momentum.

Conclusion: The HUBBIG market in 2025 showed one thing clearly — timing matters most

Transport Statistics 2025 shows a stable volume (1,015 requests), clear demand patterns, and a strong distribution dynamic. The market is active, the routes are recognizable, and standard vehicle types account for the largest share of the volume.

But the most important message is not the number of requests.
The most important message is timing.

In an environment where a single request is distributed to hundreds of addresses, the difference is not made by presence alone — but by consistency, a clearly defined profile, and a timely response.

HUBBIG as a platform provides reach and speed.
The result depends on how that data is used.

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