LogiMAT 2026: A Market Shift from Exploration to Execution

LogiMAT Trade Show has always been a strong indicator of where the intralogistics industry is heading. But this year, more than ever, it felt like a clear turning point.

If we compare 2025 to 2026, the difference is striking. Last year, many conversations were rooted in curiosity and exploration. Visitors approached stands asking what was possible, trying to understand how emerging technologies, especially AI and computer vision, could fit into their operations.

This year, the mindset has evolved. The 2026 audience came prepared. They came with defined challenges, active projects, and clear expectations.

One of the most noticeable shifts at LogiMAT 2026 was the quality and intent behind conversations.

Instead of: “What does this technology do?”

We heard:

This reflects a broader industry transition.

Across the exhibition, the focus was firmly on deployment-ready solutions. These are technologies that can be integrated into existing operations without heavy disruption and that deliver measurable value in the short to medium term. The market is clearly moving along a familiar curve: Curiosity - validation - implementation - optimisation. And in 2026, many companies have reached the implementation stage.

Another key takeaway was the maturity of the computer vision space within logistics. Compared to previous years, there was:

This is a strong signal that computer vision is no longer perceived as experimental.

It is becoming a core operational tool, particularly in areas such as:

What stood out most was the shift in conversations. Companies are no longer asking if they should adopt vision-based systems. They are asking how to implement them effectively and at scale.

Behind all these conversations lies one central theme: data. Warehouses are increasingly recognising that accurate data leads to better understanding, and better understanding leads to sound decisions.

But capturing high-quality, consistent data at scale remains a challenge. This is where technologies like computer vision are gaining traction, not as standalone innovations, but as enablers of reliable and structured operational data.

AI was, unsurprisingly, everywhere at LogiMAT 2026.However, the narrative around AI is becoming more grounded. There is a growing understanding across the industry that AI is not a magic solution.

Successful adoption depends on:

Many companies are now moving past the hype phase and focusing on:

This shift toward realism is a positive sign of a maturing market.

While high-profile innovations and visually impressive technologies naturally attracted attention, the most meaningful discussions often centred on practical, deployable solutions. There is a clear appetite for technologies that solve specific operational problems, can be implemented without major disruption, and deliver value quickly. In other words, the industry is prioritising impact over spectacle.

At LogiMAT 2026, we were proud to be part of the NORCAN stand, and it was one of the busiest environments throughout the event. The steady flow of visitors and the diversity of conversations reinforced the same message. Companies are actively looking for real solutions, not concepts.

Together with NORCAN, we engaged with organisations that were:

We also saw strong interest in our computer vision technology, particularly in how it can support:

We would like to thank NORCAN SAS for their support and strong collaboration throughout the event.

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Following LogiMAT, we are now actively continuing discussions with companies across Europe, including upcoming engagements in Germany and the Netherlands, where we are working closely with partners and customers to identify high-impact use cases, support implementation planning, and ensure that technology adoption translates into real operational value.

Technology adoption in logistics does not happen overnight, it moves in waves, beginning with curiosity, then experimentation, followed by implementation, and ultimately optimisation at scale.

LogiMAT 2026 made one thing clear, we are entering the implementation phase. The questions are no longer “What is possible?” but “What works and how fast can we deploy it?” and that is where real transformation begins.

If you would like to explore how computer vision and data-driven QC can support your operations, we would be happy to continue the conversation.