AI Is Coming for EMEA Marketing. Your Data Foundation Decides What Happens Next.

McKinsey's 2026 European marketing research found that most organizations in the region haven't matured their AI capabilities yet. Even more surprising, gen AI ranked low on CMOs' priority lists for the year ahead.

You could read that as EMEA falling behind, but it doesn’t necessarily mean it’s true. That gap is an opening, and the marketers who build the right data foundation now will be the ones who pull ahead when AI adoption picks up speed.

Our 2026 B2B Marketing Edge: UK & EMEA report, built on responses from 221 UK marketing decision-makers shows where that foundation is strong, where it's shaky, and what to fix first.

Why is the AI lag an opportunity for EMEA marketers?

AI runs on data. With or without an AI strategy, data is still the fuel behind every campaign that works, and right now EMEA marketers have time to get that fuel right.

There is a pressure to do it all. In the past year, 81% of UK B2B marketers reported revenue growth at their organization, and 83% of marketing teams beat their goals. Budgets didn't keep pace. While 70% got an increase, only 6% saw a rise of 20% or more.

Confidence is shaky too. More than half of UK marketers (56%) aren't "very confident" in their organization's budget decision process, compared with 50% in the US. When the budget is tight and trust is thin, control over your data, your campaigns and your numbers is what earns you a bigger seat at the table. Getting that control now means AI has something solid to build on later.

What makes data harder for EMEA marketers?

The top data challenge for UK B2B marketers is a lack of high quality data, cited by 53% compared with 43% in the US. Strong privacy laws mean less data to collect and tighter rules on how you target, and meeting compliance requirements adds work to every program.

But, the most encouraging part is that the biggest barrier to buying group adoption in the UK isn't money. Marketers point to the perceived complexity or length of implementation (41%) well ahead of budget constraints (36%). That makes it a process problem which can be easily fixed.

Strong data partnerships make a big difference here. The right partner brings the breadth and depth to find every stakeholder in a buying group, with compliance built in from the start.

Which data fundamentals matter most before AI scales?

Three practices stood out in the research. They're connected, and each one makes the others stronger.

1. Buying group data that stays freshForrester finds a typical B2B buying decision involves 13 stakeholders on average. Marketing to one lead misses most of the room. Just over a third of UK B2B marketers have fully implemented buying groups, and another 41% are partway there. The payoff is clear: more than half report better sales and marketing alignment, higher win rates and stronger conversion from opportunity to closed revenue.Freshness matters as much as coverage. Around a third of UK marketers update buying group data weekly, 21% daily and 19% dynamically. Our data team sees buying groups shift all the time as people change roles, change direction or leave. The more often you refresh, the more accurate your picture.

2. Continuous optimization, not set and forget

   UK marketers are more likely than their US peers to plan campaigns audience-first. That's a great start. The next step is letting performance shape the campaign while it runs. Today, 49% of UK B2B marketers adjust campaigns across channels only occasionally, while 38% do it frequently.

   What's slowing them down? Slow approval and governance processes (51%) and a lack of real-time performance data (48%).

3. Measurement connected to revenue

   Confidence in the data is high, with 85% of UK marketers saying they use the right data to convert their audiences. Proof is harder to find. Only 34% say it's proven in pipeline compared with 44% in the US.

   The foundation is there. UK marketers lean on ROI more than any other metric (42%), and 53% say they can track marketing activity through to closed revenue. Attribution remains the top measurement challenge at 38%, so connecting ROI back to audience data is the gap worth closing.

What should EMEA marketers do now to get AI-ready?

You don't need an AI roadmap to start. These moves pay off this quarter and keep paying off when AI arrives in force.

• Audit your buying group data. Check how many stakeholders you can see per target account and how often that data refreshes. Work toward dynamic updates so you never chase someone who left months ago.
• Run one small optimization test. Pick a live campaign and agree upfront that you'll shift spend, targeting or messaging based on weekly results. Use the outcome to make the case for faster approvals.
• Close the loop on measurement. Connect audience data to ROI, and ROI to revenue, so your CFO and head of sales trust the same numbers you do.
• Treat compliance as a selection test for partners. Choose data partners who can give you breadth, depth and privacy-compliant coverage across the markets you sell into.

Why do the fundamentals only get more valuable?

AI adoption may be slower in EMEA today, but McKinsey's research suggests that's about to change. When it does, the basics of great B2B marketing stay the same: strong audience data, insights tied to revenue and a process that adapts in real time. They just matter more.

AI can't fix a buying group you can't see or a number your CFO won't trust. Teams that get these right now will see faster, sharper returns from every AI tool they add later. That's how you build Results You Can Repeat.

So here's our challenge to every marketing leader across EMEA: Demand More from your data. Download the 2026 B2B Marketing Edge: UK & EMEA report for the full findings, then talk to our team about data you can build on.