EdTech in 2027: Job Market, UK and EMEA Outlook

EdTech goes into 2027 smaller, more selective and more consolidated than at its pandemic peak. The work that survives is tied to measurable outcomes, commercial results and AI that is safe to put in front of children.

Here is the short version. I separate what the data shows from what I expect, and I label my expectations.

Money is scarce and selective. Global edtech venture funding was about $1bn in the first half of 2026, down 26% on a year earlier. UK edtech raised £131.6m in 2025, against £697.8m in 2021.
Consolidation continues. Coursera and Udemy merged in May 2026, Ellucian bought Anthology's student systems business, and King's College London and Cranfield plan to merge in 2027.
AI is moving from pitch to proof and compliance. England plans to trial AI tutoring, and the EU has pushed its high-risk AI rules for education back to 2 December 2027.
UK higher education stays under strain. Over a third of English universities were in deficit in 2024/25, and the regulator expects more than four in ten to be next year.
Hiring favours commercial and customer-facing roles, and employers want proof. That is my expectation, built on the listings data below.

Where 2026 leaves us

Funding has settled at a fraction of its pandemic peak, and investors are still active but cautious.

Globally, HolonIQ data summarised by 36Kr shows edtech venture capital falling from $20.8bn in 2021 to $2.6bn in 2025, then to about $1bn in the first half of 2026, down 25.7% on the same period a year earlier. Deal counts were roughly flat, so investors are still writing cheques, but smaller ones. Vocational and workforce learning took the largest share of capital, including rounds of $150m for Preply and $70m for Multiverse.

Europe follows the same pattern. Tech.eu counted 28 European edtech companies raising €284m in the first half of 2026, down 23.7% on the first half of 2025, and the ten largest rounds made up 94.6% of the disclosed total. HolonIQ reports that Europe's fall in funding value is outpacing the fall in deal count, so individual rounds are shrinking.

The UK shows it most starkly. Beauhurst records £697.8m raised by UK edtech companies in 2021 and £131.6m in 2025, with new company formations falling from 136 to 39 over the same period. The sector is still large, with 1,561 active companies employing an estimated 64,900 people. But only three of its top 100 companies have exited, which suggests acquirers have been slow to arrive.

Money is available in the UK, just not for edtech as such. HSBC Innovation Banking reports that AI companies took nearly three quarters of all UK venture capital in the first half of 2026. Within edtech, the capital that does move is going to workforce skills and AI-enabled learning.

Big organisations: who is merging, selling and holding steady

The pattern of the last two years is consolidation by merger and distress sale, private-equity ownership of core platforms, and steady AI-led growth at the large publishers.

Coursera and Udemy: an all-stock merger announced on 17 December 2025 and completed on 11 May 2026. The combined company says it reaches over 290 million learners. This is scale consolidation in skills and workforce learning.
Anthology and Blackboard: Anthology filed for Chapter 11 on 29 September 2025. Ellucian bought its student information and ERP business, and Blackboard emerged on 27 February 2026 with about $1.6bn of debt removed. This is the break-up of an over-leveraged higher education platform.
Instructure and PowerSchool: taken private after 2024 deals with KKR and Dragoneer (about $4.8bn) and Bain Capital ($5.6bn). This is private equity owning core platforms.
Learning Technologies Group (UK): a £802m takeover by General Atlantic agreed in 2024, expected to complete in early 2025. This is a UK-listed learning company going private.
XCL Education and Emerald: KKR's $1.3bn purchase of XCL Education and Wiley's roughly $450m purchase of Emerald Group Publishing, both reported by HolonIQ for the first half of 2026. This is private equity and publishers buying scale.
UK universities: Kent and Greenwich combine as one institution in August 2026, and King's College London and Cranfield aim to merge in August 2027. Customers are consolidating, not just vendors.

The deal count is steady rather than surging. One tracker counted 62 edtech M&A deals in the 12 months to 29 June 2026, against 61 in the previous 12 months, mostly smaller strategic deals that fill a gap in a product. Private equity is still buying, but HolonIQ reports its deal value fell from $445m to $290m in the first half of 2026 even as the number of deals rose from 10 to 17.

The largest publishers are holding rather than selling. Pearson reported underlying sales growth of 4% for 2025 and guided to mid-single-digit growth for 2026, with AI and enterprise skilling central to its strategy. McGraw Hill is now listed on the NYSE and grew digital revenue 5.5% to $1.43bn in the year to March 2026. It says more than 7.5 million people use its AI-enabled tools.

The UK: schools lean towards AI and evidence, universities towards consolidation

Schools. The Department for Education plans to trial AI tutoring in secondary schools, aimed at up to 450,000 pupils a year in Years 9 to 11 who receive free school meals. Teacher-led co-creation with industry was due to start in the 2026 summer term, trials from autumn 2026, and the tools are due in schools by the end of 2027, according to Schools Week. The same coverage quotes experts warning that the evidence on AI tutoring is still in its infancy. DfE has also set out a £23m expansion of its AI and edtech pilots to more than 1,000 schools and colleges from September 2026, and suppliers will be measured against its generative AI product safety standards, last updated on 19 January 2026.

Universities. The Office for Students found that 36% of English providers reported a deficit in 2024/25, and it forecasts more than four in ten for 2026/27. Its most severe scenario has cumulative losses of £4.2bn and almost 200 providers, or 70%, in deficit by 2028/29. International enrolments fell 7.7% in 2024/25, and study visa applications were down 33% year on year in April 2026. The regulator says some universities must consider mergers, and two are already doing so: Kent and Greenwich, and King's College London and Cranfield.

For suppliers, I expect longer sales cycles, tighter budgets and more vendor consolidation as institutions merge their systems.

EMEA: Europe is squeezed, MENA is growing and Germany is funding schools

Across the region, startup money is thin, but public and institutional spending is steady in places.

Europe. Funding value is falling faster than deal count, as shown above. Germany is the clearest source of public demand. Digital Pact 2.0 commits €5bn over five years, split equally between the federal government and the Länder, and includes a joint initiative on teacher training. It also explicitly funds maintenance and support structures. I expect that to shift spending towards managing, supporting and training around devices that schools already own.

Middle East and North Africa. HolonIQ reports that Asia and MENA were among the few regions to grow in the first half of 2026. In Saudi Arabia, Noon Academy acquired Almakhfi in July 2026, one example of regional players buying as well as raising money.

Africa. Continent-wide technology funding is concentrated: Egypt raised $327m in the first half of 2026, Nigeria $254m, Kenya $126m and South Africa $83m, according to Africa: The Big Deal, with early-stage deal volumes falling. These are all-sector figures rather than edtech-only, but they show the same squeeze on early-stage founders.

AI: from pitch to proof, and from proof to compliance

Buyers will ask what AI does for outcomes, and regulators will decide how it can be sold.

Products. The large publishers are embedding AI in existing products, and investors are following products with a clear job to do. HolonIQ's reading is that capital has moved from asking whether a product uses AI to asking whether it creates value. The warning case is Chegg, which cut about 45% of its workforce in October 2025, after an earlier 22% cut, citing the rise of AI tools and reduced referral traffic from search engines, as EdTechJobs.io reports.

Rules. In England, the DfE's January 2026 update to its product safety standards added standards on cognitive development, emotional and social development, mental health and manipulation. In the EU, the Digital Omnibus on AI (Regulation (EU) 2026/1744) came into force on 27 July 2026 and moves the high-risk obligations that cover education AI from 2 August 2026 to 2 December 2027. Most transparency rules and the rules for general-purpose AI models were not delayed.

My expectation: 2027 is the build year for compliance. Product teams will need to document, test and evidence safety whether they sell into England or the EU, and the people who can do that will be in demand.

The job market in 2027: what to expect

Expect fewer, more specific openings, with commercial and customer-facing roles still the largest pool and employers asking for proof.

What the data shows. EdTechJobs.io counted 4,119 open roles across 367 organisations at the end of July 2026. Operations (901), sales (660) and engineering (562) led by volume, and sales, customer success and marketing together made up about 1,100 roles, roughly double engineering. Engineering drew the least candidate interest per opening, about 13 apply-clicks over 90 days, against about 34 for customer success and 32 for instructional design. So engineers are the hardest to hire, while customer success and instructional design are the hardest places to stand out. Just under half of postings (2,042) included a salary range. This is one job board with largely US data, not the whole sector.

In the UK, the backdrop is subdued. Unemployment was 4.9% and vacancies were about 707,000 in May to July 2026, and ONS feedback suggests rising labour and operating costs may be discouraging some smaller businesses from recruiting. Hiring is also slowing for another reason: a Robert Half survey found that 67% of UK hiring managers say AI-generated applications have increased the time it takes to hire.

What I expect in 2027. These are my expectations, built on the evidence above, not forecasts from the sources.

Selective hiring and slower processes. Vacancies are subdued and employers are sifting more near-identical applications, so expect fewer new roles and longer time to hire.
Commercial roles stay the biggest pool, with more scrutiny. Sales, customer success and partnerships will dominate listings. Because buyers now want evidence of impact, candidates who can show retention, adoption or pipeline results will stand out.
AI fluency becomes a baseline and AI governance a specialism. Product, customer-facing and data roles will be expected to understand how AI is used and what it means for privacy and safeguarding. The DfE standards and the EU's December 2027 deadline should create demand for compliance, product safety and data protection skills.
Integration work follows the deals. After the Coursera and Udemy merger and the Anthology break-up, I expect overlap cuts alongside hiring into integration, customer success and enterprise sales.
Higher education roles stay cautious. University deficits and mergers will slow budgets, so roles tied to universities will be fewer and more contested. Workforce skills and AI-enabled learning, where capital is flowing, should offer more openings.
Pay transparency stays patchy. Employers that publish salary ranges will have an edge in a market where just over half of listings still do not.

What to do with this

Whether you are hiring or job hunting, the same idea applies: make your value easy to see and easy to trust.

If you are looking for a role

Show outcomes, not duties: retention, adoption, pipeline and learner results.
Learn how AI is used in your function, and the basics of safeguarding and data protection in education.
Choose a lane. Competition is heaviest in customer success and instructional design, so a sharp story matters more than a high volume of applications.
Look where capital is flowing: workforce skills, AI-enabled learning and the companies integrating after deals.

If you are hiring

Publish salary ranges.
Design screening around real evidence, because AI-generated CVs make polished applications look alike.
Plan for integration if you have bought or merged, including who owns customers and product roadmaps.
Build safety and compliance skills before the DfE standards and the EU's December 2027 deadline bite.

If you are hiring in edtech, you can read about how RecruitHer works with companies. If you are planning your next move, see career advisory for education and edtech professionals. I will revisit these expectations as 2027 unfolds.

About the author

Emilia Kruszewska is an EdTech recruiter and headhunter and the founder of RecruitHer. She works with EdTech companies and commercial candidates across the UK and European markets, with a particular focus on Sales, GTM and leadership hiring.