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Sector brief - UK & Europe - August 2026

Someone has to build the AI boom.

The companies training and serving models get the headlines. The companies selling them power, buildings, cooling, silicon and software get the invoices. This brief covers the ones worth calling, and how to sell into each.

Sectors9 min readPublished August 2026
Sectors
€18.7bnRaised by European tech in H1 2026 across 423 deals
€5.9bnWent to cloud and data centres, the largest single category, ahead of AI itself
66%Of all capital taken by just ten companies
141Of the 170 companies on the full list have a signal dated 2026
What is happening

Europe's AI money has moved down the stack. In the first half of 2026 the region raised €18.7bn across 423 deals, and the largest single destination was not artificial intelligence at €3.2bn but cloud and data centres at €5.9bn. The binding constraint stopped being chips some time ago. It is now electricity, grid connections, land, cooling and the people who install all of it.

That has pulled a very different set of companies into the AI trade: developers who think in megawatts and planning cycles, contractors who install chilled-water plant, and a thin layer of software companies making borrowed GPUs behave like owned ones. None of them are AI companies. All of them are being paid by one.

Why it converts
01
The money is committed and dated. These are not forecasts. The capital is raised, the tenant is signed, the energisation date is in a contract. Missed deadlines cost real revenue, which makes buyers decisive in a way most sectors are not.
02
The buying centres are immature. Companies of 50 to 300 people are executing billion-euro programmes. There is often no supplier panel, no procurement function and no incumbent to displace — the person who picks up the phone is frequently the person who decides.
03
The roles are brand new. Head of Data Centre Delivery, Director of Energy Strategy, Head of Critical Infrastructure — titles that did not exist in these companies two years ago. A first appointment into a new function is the cleanest buying signal there is, and it is exactly what Honch tracks.
Inside the briefing

What’s inside.

01

Land, shell and the operators

The people who own or build the building. Longest sales cycles on the list and the largest single contracts. They buy design, plant, fit-out and everything that reduces time-to-energisation — and they buy it years before the tenant moves in.

KD
Kao DataPurpose-built high-density colocation, engineered for HPC and AI rather than retrofitted for it.
Why it matters

One of the few UK operators that was designing for high-density compute before the current cycle, which means it is quoted as a reference by people specifying new capacity. Its campuses are a proving ground for liquid cooling at production scale.

How to sell in

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In the full briefing
VD
VIRTUS Data CentresLondon-region hyperscale colocation, expanding campus by campus.
Why it matters

Sits directly in the Slough and West London cluster where most UK AI capacity is landing. Every new campus is a fresh procurement round across power, cooling, security and fit-out.

How to sell in

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In the full briefing
AD
Ark Data CentresSecure campuses serving UK government and regulated enterprise.
Technology139 employeesUnited Kingdom
Why it matters

Public-sector and regulated workloads are moving to accredited environments rather than to public cloud, which keeps Ark buying steadily through cycles that slow everyone else down.

How to sell in

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In the full briefing
Y
YONDRDevelops, builds and operates hyperscale campuses for single tenants.
Business Services171 employeesUnited States
Why it matters

A build-to-suit model means the entire supply chain is re-specified per project, and project teams are stood up quickly. Hiring into a new region is usually the first public sign of a programme.

How to sell in

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In the full briefing
P
PulsantRegional UK edge platform, positioned away from the London cluster.
Technology318 employeesUnited Kingdom
Why it matters

The regional edge story matters as inference workloads spread out from central campuses. A different buying pattern to hyperscale: more sites, smaller contracts, faster decisions.

How to sell in

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In the full briefing
02

Power and the grid

The actual constraint. Grid connection queues have made bridging power, on-site generation and flexibility services into a market of their own. Buyers here are under time pressure that the rest of the chain does not feel.

A
AggrekoTemporary and bridging power at industrial scale.
Construction & Property9,153 employeesUnited Kingdom
Why it matters

Grid connection dates slipping is the single most common failure mode in this market, and bridging power is what a developer buys when it happens. That makes Aggreko a barometer for where projects are running late.

How to sell in

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In the full briefing
CB
Centrica Business SolutionsFlexible generation, energy strategy and demand-side response for large industrial users.
Energy870 employeesUnited Kingdom
Why it matters

Data centre operators are becoming energy traders whether they intended to or not. The advisory relationship here often precedes the infrastructure spend by a year or more.

How to sell in

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In the full briefing
That’s the free preview of the profiles.The rest are in Honch, each with how to sell in and the people to contact.
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03

Cooling and critical plant

Rack densities for AI training have broken air cooling. Everything from chilled water to direct-to-chip liquid is being specified again from scratch, which reopens supplier decisions that were settled a decade ago.

04

Silicon and the software layer

The thinnest and fastest-moving segment. Chip designers, AI clouds and the orchestration software that makes rented capacity usable. Small teams, venture money, and buying decisions made in weeks rather than quarters.

How this list was built
Companies were selected on revenue exposure to AI build-out rather than on sector code — a cooling manufacturer and a GPU cloud sit on the same list because they are paid by the same programme. Firmographics, contacts and signals are read live from the Honch database, so headcount and roles on this page are current rather than as-at publication. Research and segment judgements are editorial and dated to the compiled date above.
The full list

More from the list.

CompanySectorBasedStaff
NokiaTelecommunicationsEspoo101,282
Deutsche TelekomTelecommunicationsBonn67,771
ASMLIndustry & ManufacturingVeldhoven39,120
Alfa LavalIndustry & ManufacturingLund15,918
ARMBusiness ServicesCambridge11,967
ScalewayPublic SectorAddison8,488
ExyteConstruction & PropertyStuttgart5,140
Schwarz DigitsTechnologyNeckarsulm4,578
BravidaConstruction & PropertyStockholm4,337
Bull / Eviden USA, Inc.TechnologyBezons3,329
The full list continues in Honch

The rest of this briefing is in Honch.

Every company in this briefing, with why it matters, how to sell in, the people to reach and the signals live on each one. Ready to filter, add to a campaign or send to your CRM.

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