Industrial
From engineering proof to embedded industrial value

Industrial
Industries
Industrial companies often begin with a strong technical case. The product works, the engineering is credible and the first customers can see the improvement on the line, in the plant, across the warehouse or inside the material itself. But the next stage asks a different question.
— Industrial automation
— Robotics
— Manufacturing software
— Industrial IoT
— Materials science
— Functional materials
— Predictive maintenance
— Additive manufacturing
— Industrial AI
— OT cybersecurity
— Supply-chain technology
— Others
Can the company become part of the industrial system around it: the software stack, the installed base, the procurement process, the qualification cycle, the channel and the operating model of the customer?

That question matters across industrial automation, robotics, manufacturing software, industrial AI and advanced materials. A technology may improve uptime, reduce waste, strengthen traceability, raise throughput or create a better-performing material. But unless it can fit into brownfield infrastructure, survive procurement scrutiny and prove its value in operational terms, it remains harder to scale than the engineering alone suggests.

We work with leadership teams at the point where that gap starts to widen: when the technical case is strong, but the company needs to become more commercially embedded, more partnerable and more credible inside complex industrial buying systems.

Three patterns shaping Industrial

''Industrial technology scales when engineering strength becomes embedded value inside the systems, materials, plants and supply chains customers already depend on.''
Andries van Oers
Strategist
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Across European Industrial, three concerns keep showing up in different language depending on the segment. A robotics or manufacturing-software company may frame it as how to coexist with Siemens, ABB, Schneider, Rockwell or SAP.

A materials science company may frame it as how to move from technical validation to specification, qualification and repeat orders across plants and product lines. An industrial-AI or asset-performance company may frame it as how to get beyond dashboards and pilots when the buyer wants measurable outcomes in a brownfield environment.

Underneath those differences is the same shift. Industrial buyers are not simply looking for better technology. They are looking for technologies that can be trusted inside systems that are already complex, capital-intensive and difficult to change.
01. Co-existing with the stack
The industrial stack is no longer just the environment a company sells into. It is also the channel, the competitor and, in some cases, the acquirer. Large industrial platforms already sit close to the customer through automation hardware, engineering software, control systems, cloud infrastructure, service contracts, spare parts, certification, integrators and long-term plant relationships. Siemens Xcelerator, Schneider Electric, Aveva, ABB, Rockwell and other incumbents are not only routes to market. They are also shaping what buyers expect to be integrated, certified and supported.

That creates a strategic choice for scale-ups and tech corporates. Some companies need to become marketplace-native and partner deeply into the platforms already trusted by industrial customers. Some need to remain independent but interoperable. Some need to build enough differentiation that they become attractive acquisition targets. And some need to do all three in sequence.

The same logic applies beyond software. Advanced materials, coatings, films, adhesives and industrial components often have to move through specifiers, converters, OEMs, procurement teams, quality systems and plant-level validation before they become embedded. The route to adoption is rarely a straight sale. It is a system of approvals.

For leadership teams, the question is not only how to reach the customer. It is what position the company is building in the industrial system.
02. Brownfield-ready, outcome-priced
The second pattern is the move from technical demonstration to operational proof. Industrial buyers have become less patient with pilots that create visibility but do not change performance. A dashboard is not enough if downtime stays the same. A model is not enough if the line does not run better. A material improvement is not enough if qualification takes too long, the supply chain cannot repeat it or the economics do not survive procurement.

The buyer’s bar has hardened around three questions. Will it work in the brownfield? Will it integrate with the systems already in place? Will it create an outcome that can be measured, trusted and renewed?

That changes the commercial model. Predictive maintenance, robotics, industrial AI, intralogistics, additive manufacturing and materials science companies are all being pushed toward clearer proof of operational value. In some categories, that means guaranteed diagnostics, Robotics-as-a-Service, outcome-based pricing or shared-risk models. In others, it means stronger validation data, tighter qualification support, better supply reliability and a clearer case for why the customer should change an existing specification.
03. When the order book goes quiet
The third pattern is the pressure created by softer industrial demand. In parts of European manufacturing, especially Germany, the market has been unusually difficult. Orders have weakened, export demand has been under pressure and many industrial customers are more cautious with capex than they were a few years ago.

That matters because industrial scale-ups often depend on customers who are themselves managing uncertainty. A factory may still need automation, traceability, materials efficiency, energy savings or better asset performance. But the buying conversation changes when the customer is protecting cash, reducing inventory, restructuring capacity or delaying investment decisions.

For companies selling into industrial markets, the implication is direct. Growth cannot rely only on the home-market order book recovering. Leadership teams need to be sharper about where demand is still moving, which customer segments are counter-cyclical, which geographies are more active and which value propositions survive a tighter capex environment.

That is especially important for companies whose offer sits close to productivity, resilience or cost reduction. Industrial AI, automation, intralogistics, asset performance and advanced materials can still matter in a downturn, but only if the business case is framed around the customer’s current constraint.
In European Industrial, the question changes as a company moves from technical validation to commercial scale. The technology has usually been proven somewhere: on a production line, inside a warehouse, across a plant network, within an OEM qualification process or inside a material application that has already shown its performance. What changes is the audience.

The next conversations are with corporate procurement teams, plant managers, platform partner managers, quality teams, specifiers, integrators and CFOs treating capex with more caution than they did in 2022. None of those conversations turns primarily on the engineering.

What separates the companies that cross into commercial maturity from those that get stuck tends to be organisational rather than technical. Becoming credible inside an industrial marketplace is a multi-quarter integration and partner-management effort. Pricing for outcomes rather than equipment, licences or material volume requires service infrastructure, proof systems and commercial confidence.

Moving from one validated application to repeat adoption across sites, geographies or product lines requires qualification support, supply reliability and a sales organisation that understands the customer’s operating model.

Each of those shifts is serious on its own. Together, they require the company to look different from the engineering-led growth story it may have been telling investors. 

This is the layer we work on. With leadership, alongside the people already running the company. The first conversation is usually about where the next ceiling on growth is closest to forming.
Where the work happens

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Interconnectivity is our long-form series on how the sectors we work in connect with each other and what is actually shaping each of them right now. The most recent edition is The Age of Transformative & Positive Technology.
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