The data on the data agencies: What makes Data and Analytics stand out

Data and Analytics is, by number of active companies, one of the smaller corners of the UK agency community. There are 476 specialist agencies offering these services, just 1.9% of the sector. Set against the roughly 25,000 agencies The Agency by Agency Atlas 2026 maps, that places it firmly in the long tail rather than among the larger specialisms such as Website and UX/UI Design, Digital, and Design and Branding that define the sector numerically. 

Yet the data beyond the simple measure of active agencies offering this specialism suggests a corner of the sector worth exploring in more detail.

Data and Analytics specialists are growing at an average of 10.6% a year, against a sector average of 3.5%, making this the third fastest-growing specialism behind Influencer and Amazon and Marketplace. With 11,650 people working for them, Data and Analytics agencies employ around 6% of the sector workforce, and while they represent only 1.9% of active agencies they account for 8.7% of sector turnover and 5.9% of total GVA.

That the turnover share runs ahead of the workforce and GVA shares is interesting as it suggests these agencies punch above their headcount on revenue, even as their value added per person stays close to the sector norm. And they capture a strikingly disproportionate share of public innovation funding, with 17.4% of Innovate UK grants to the agency sector going to agencies offering Data and Analytics services.

The productivity picture is more measured. GVA per head sits at £92,642, marginally below the all-agency figure of £94,452. So this is not a specialism producing exceptional value per person, at least not yet. 

Why is Data and Analytics growing so much faster than the sector?

At 10.6% average annual growth, Data and Analytics agencies are growing at three times the overall sector average. The distribution of growth rates among these agencies is also interesting. More than a third of these agencies are expanding: 22.1% are growing fast and a further 14.5% are growing, while just over half sit in the stable band and fewer than one in ten are shrinking.

It is reasonable, perhaps, to read this as a demand story. This is an ever more mature market of brands using their first party data, increasingly in the cloud, and joining the dots between different channels and customer touchpoints, within which agencies built around that capability are well placed to benefit. We should be cautious about treating the headline rate as a single phenomenon, though, because the growth is far from evenly spread.

It is also worth holding the productivity figure alongside the growth figure. A specialism can grow quickly by adding people and revenue without necessarily becoming more productive per head, and the near-average GVA per head suggests that some of this growth is still in the volume-building phase rather than translating into added value. That is a pattern the Atlas observes across several of the fastest-growing specialisms, where rapid growth has not yet converted into above-average value creation.

Does scale drive growth in this specialism?

By headcount, the specialism has a high proportion of small firms: 39.0% of these agencies have just one or two people, and 61% have ten or fewer. But the growth sits with the larger firms. Among the smallest agencies (one to two people), 78.6% are simply stable and only 2.4% are growing fast. Move up the scale and the picture transforms: 55.6% of agencies with 101 to 250 staff are growing fast, as are 53.9% of those with 251 or more.

The average Data and Analytics agency is also markedly bigger than the typical UK agency. With 11,650 people across 476 firms, the average works out at roughly 24 employees per agency, against a sector average closer to eight. That helps explain how under 2% of agencies come to hold 8.7% of sector turnover.

Why does public money find these agencies when private money does not?

Perhaps the sharpest contrast in the whole specialism is between public innovation funding and private investment.

On the public side, Data and Analytics is one of the largest recipients of Innovate UK funding in the entire sector, second only to Market Research. The specialism captures 17.4% of all Innovate UK funding flowing to agencies.

As we explored in The Atlas, public innovation money flows towards measurable research or technology development, as well as the rise of AI-related innovation trends, that means certain specialisms find themselves in keeping with the eligibility criteria for innovation grants, while creative and content-led specialisms receive very little in comparison. Data and Analytics work, with its emphasis on tooling, modelling and measurable technical development, fits that profile closely.

Private capital tells the opposite story. Data and Analytics attracts 2% of investment funding into the sector, comparable to its share of active agencies but less than its share of workforce or total turnover. This may reflect a genuine information gap, where investors lack the sector intelligence to identify and evaluate these businesses, or it may be that growing data agencies can fund expansion through client demand without needing external capital.  

Where in the country is this specialism actually happening?

Geographically, Data and Analytics is more concentrated in London than the sector as a whole, with the capital home to 62.2% of these agencies. After London the field thins quickly: Manchester (6.7%), Leeds (4.4%), Bristol (2.7%) and Birmingham and Wolverhampton (2.3%) lead the regional picture, with most other cities below 2%.

But concentration and momentum are not the same thing. On average growth, London (10.6%) sits mid-table, comfortably outpaced by Newcastle upon Tyne (30.0%), Bristol (24.1%) and Glasgow (22.8%), with Nottingham (12.0%) and Leeds (11.3%) also ahead. These are small cohorts in absolute terms, so we would treat the headline rates with appropriate caution, but the direction is consistent with the wider Atlas finding that the fastest-growing agency clusters are rarely the largest ones.

Productivity reorders the map again. On estimated GVA per head by city, Newcastle upon Tyne leads at £123,071, followed by Nottingham (£118,403), Leicester (£113,956), Bristol (£105,519), Edinburgh (£103,028) and Leeds (£102,783), all comfortably above the specialism average. London, for all its dominance by volume, sits close to the average at £93,773.

So three different questions, “where are most of these agencies?”, “where are they growing fastest?” and “where is value created most efficiently?”, produce three different answers. London wins the first decisively and the other two not at all. That divergence echoes the regional tension the Atlas identifies across the sector, where London concentrates volume and turnover while several regions lead on growth and value added.

Does maturity, rather than novelty, explain this specialism’s value?

For a specialism so closely associated with the digital frontier, Data and Analytics agencies are well established. Only 17.2% of these agencies are five years old or younger, while 28.6% are sixteen years or older and a further 22.1% are eleven to fifteen years old. This is not, in the main, a specialism of new entrants.

That maturity appears to be important for value. GVA per head rises steadily with age, from £58,736 for agencies up to five years old, to £79,712 at six to ten years, £96,168 at eleven to fifteen years and £101,791 for those sixteen years and older. The oldest cohort is therefore producing well over half as much value per head again as the youngest.

Growth runs the other way. The youngest agencies are the most likely to be growing fast (27.8% of those up to five years, and 33.6% of those six to ten years), while the oldest are more likely to be stable. 

One further dimension cuts across all of this. Data and Analytics is notably less women-led than the sector. Just 14.6% of these agencies are women-founded and 12% are women-led, against sector-wide figures of 21.0% women-founded and 19.7% women-led. Given that this is precisely the specialism the public innovation system funds most heavily, the under-representation of women in its leadership is a pattern worth examining rather than passing over.

Questions for the sector

Several of the questions raised by the data land directly on the UK Industrial Strategy. For policy makers, the funding picture perhaps the most interesting. If the Creative Industries Sector Plan is serious about backing frontier sub-sectors, the data on innovation funding suggests data intelligence is one of them. The open questions are whether that support is reaching beyond London, where almost two-thirds of these agencies sit, and whether the under-representation of women in the leadership of this well-funded specialism is being addressed in the design of innovation support.

For investors and those active in M&A, is  the contrast between near-total public funding interest and minimal private investment a sign that growing data agencies simply do not need external capital, or a sign that the investment community lacks the sector intelligence to find and evaluate them? 

Perhaps the deeper question is whether Data and Analytics is an early-stage version of a high-value specialism still building its commercial model, or a specialism whose growth will keep outrunning its productivity. The answer matters not only for the agencies involved and their investors, but for how convincingly the UK’s creative industries can claim data intelligence as one of the frontiers the Industrial Strategy is meant to advance.

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