2026 Benchmark Report

Nordic B2B
Software Growth

The fifth edition of Monterro's annual benchmark tracking growth, profitability, and structural shifts across Nordic B2B SaaS. Based on data from 230+ companies generating ~€1.7B in annual revenue.

230+Companies surveyed
€1.7BCombined revenue
~12,000Total employees
Gustav Lagercrantz
Gustav Lagercrantz
CEO, Monterro
Opening Remarks

A year of strategic re-acceleration

This year marks the fifth edition of our Nordic B2B Software Benchmark Report. Over these years, we have seen the market move from rapid expansion to correction, and now into a new phase: disciplined, focused growth.

In 2025, companies are growing slower but running healthier businesses. What is striking is not 2025 – it's 2026.

Growth sentiment is now at its highest level since we started this benchmark. 64% of companies expect accelerating growth in 2026. After two years of recalibration, founders are ready to push again, this time on a stronger foundation.

The most structural shift is AI. 60% of Nordic software companies have now moved beyond experimentation into implementation or full integration. Internally, AI is already delivering productivity gains. But the real gap is commercial: only a few are substantially monetizing AI.

At the same time, the nature of challenges is changing. Sales execution is less of a bottleneck than before. A new pressure point is differentiation. As competition intensifies and AI lowers barriers to entry, the key question is no longer "Do we sell efficiently?" but "Why us?".

The companies that win don't just execute well — they monetize AI, sharpen positioning, turn customer success into a growth engine, and use pricing as a strategic tool.
The opportunity ahead is real, but the next cycle will reward clarity and discipline, not just ambition.

Executive Summary

The 2026 Benchmark Report

Monterro presents its fifth consecutive Nordic B2B Software Benchmark Report. Founders and executives from over 230 Nordic B2B software companies shared insights into their challenges, KPIs, priorities, and outlook. Together, these companies generate roughly €1.7 billion in annual revenue and employ approximately 12,000 people.

Respondents by country
🇸🇪
57%Sweden
🇩🇰
14%Denmark
🇳🇴
13%Norway
🇫🇮
12%Finland
🌍
4%Other
Respondents by title
67%Co-founders or CEO
33%Other executives

KPI Benchmarks 2023–2025

Average 2023 2024 2025
Revenue growth35%32% 25%
EBIT margin-1%0% 4%
Rule of 4033%31% 28%
CAC-payback, months14.514.6 14.0
NPS4647 42
Share international revenue34%36% 37%
Churn4.9%5.6% 5.5%
Net Revenue Retention106.2%105.3% 104.4%
Price increase6.8%6.8% 5.9%
Revenue per FTE¹⁾ € k180160 150

Note: 1) Full-Time Equivalent employee

Growth moderated in 2025, with average revenue growth declining from 32% to 25%, marking a clear slowdown across the market.

At the same time, profitability improved, with EBIT margins increasing from 0% to 4%, reflecting a continued shift toward financial discipline and operational efficiency.

Net Revenue Retention declined further to 104.4%, driven by softer expansion and lower price increases, while churn remained stable at 5.5%. Customer satisfaction weakened, with NPS falling to 42, indicating increasing competitive pressure despite stable retention levels.

CAC-payback improved slightly to 14.0 months, suggesting more disciplined customer acquisition, even as overall growth slowed.

On the operational side, revenue per FTE declined slightly from €160k to €150k, signalling renewed hiring ahead of expected growth, while pricing increases moderated to 5.9%.

Overall, the 2025 benchmarks reflect a market transitioning from growth correction toward profitability and recalibration, as companies balance efficiency, competitiveness, and renewed expansion ambitions.

Finding 1

Growth is slowing, but all-time high confidence going into 2026

Growth slowed in 2025, but forecasts indicate re-acceleration in 2026

Slowdown was broad-based in 2025, with the sharpest decline among the smallest companies

Average growth across revenue segments declined from 31.6% in 2024 to 25.1% in 2025, reflecting a broad-based slowdown.

The decline was most pronounced in the €0–1M revenue segment, where growth dropped materially year-on-year and weighed heavily on the overall average. In contrast, the €1–5M segment remained relatively stable, while mid-sized and larger companies saw moderate slowdowns.

Looking ahead, forecasts indicate a broad-based re-acceleration in 2026, with particularly strong rebounds expected among smaller companies and solid improvements across the remaining segments.

Average growth rate by revenue segment 2026F = forecast

Growth sentiment for 2026 is at an all-time high

Net growth sentiment¹⁾ 2023–2026

+35
Net sentiment
52% accelerating − 17% decelerating
Accelerating 52%
Stable 31%
Decelerating 17%
Net sentiment trend
+35
2023
+27
2024
+23
2025
+44
2026

¹ Net growth sentiment = % companies expecting accelerating growth rate − % expecting decelerating growth rate (2026 vs 2025)

After two years of recalibration, optimism returns across the Nordic SaaS market

Net growth sentiment heading into 2026 is at its highest level since the benchmark began.

64% of companies expect accelerating growth, while only 20% anticipate deceleration, resulting in a net sentiment of +44, nearly double last year's level.

The rebound is broad-based, but particularly strong among mid-sized companies. Firms in the €10–25M range report a net sentiment of +64, up sharply from +22 last year, while the €1–5M segment improved from +30 to +48. Larger companies (€25M+) remain consistently optimistic at +41, whereas early-stage firms show a more moderate recovery.

Compared to 2025, fewer companies expect deceleration and fewer remain neutral, indicating a clearer directional conviction across the market. After two years of recalibration, Nordic B2B software companies are entering 2026 with renewed growth confidence across most revenue segments.

Upsell remains the dominant growth lever, but product expansion is up 11% pts. compared to the 2024 results

Respondents ranked up to three growth initiatives. Upsell remains dominant; expanding the offering (incl. AI features) gained the most ground (+11pp).

Clear shift toward product depth and strategic expansion in 2026

Expanding upsell to the existing customer base remains the top growth priority for 2026, with 51% ranking it among their top three initiatives. It has consistently been the most important growth lever over the past five years, underlining the continued focus on driving more value from existing customers.

At the same time, expanding the offering gains clear momentum, now highlighted by 30% of respondents.

As more companies reach later stages in their AI journey, broadening the product suite, including AI-enabled functionality, is increasingly seen as a natural path to growth. M&A also moves up the agenda, signalling renewed interest in accelerating expansion through acquisitions.

In contrast, fewer companies prioritize new go-to-market strategies, hiring salespeople, or revisiting pricing. International expansion and marketing investments remain important, while hiring engineers continues to rank lowest.

Thinking about accelerating growth through acquisitions? Read our practical guide to B2B SaaS M&A here.

Note: Select up to three choices

Median Rule of 40 declined in 2025 as growth slowed down

The decline is primarily growth-driven, while EBIT margins remain broadly stable

Rule of 40 has trended downward over the past three years across most revenue segments, reaching a median of 22% in 2025.

The compression is largely driven by slower revenue growth rather than margin deterioration. EBIT margins have remained broadly stable and have even improved among smaller companies (€0–5M), indicating that the decline reflects cyclical growth normalization rather than weakening business fundamentals.

0%
Median Rule of 40 (2025)
0pp
Down from 2024 median (26%)
0%
Top quartile Rule of 40
0%
Average EBIT margin 2025
Rule of 40, by company size
Median Top quartile
€ 0–1M € 1–5M € 5–10M € 10–25M € >25M
Revenue

What is Rule of 40?

Rule of 40 combines revenue growth and EBIT margin into a single metric, where a score above 40% is generally seen as indicating a healthy balance between growth and profitability.

International expansions pay off, but timing is everything

Avg. % of revenue from different regions, by company size
Domestic Rest of Nordics Rest of Europe Rest of World
€ 0–1M € 1–5M € 5–10M € 10–25M Larger than €25M
Avg. growth rate, by company size and share of domestic revenue
More international than average More domestic than average
€ 0–1M € 1–5M € 5–10M € 10–25M Larger than €25M

From €5M and above, internationally focused companies outgrow more domestic peers

Nordic B2B software companies follow a similar internationalisation path as they scale. At €0–1M, the domestic market accounts for 80% of revenue, as founders are proving the model at home. By €5–10M, that share drops to 55% as European expansion accelerates, making this the clearest inflection point in the data. At €10M+, companies have built truly diversified revenue bases, and meaningful Rest of World exposure begins to appear. The "near-market first" playbook remains the dominant strategy, even if some companies leapfrog it and go beyond the Nordics early.

The growth data adds an important nuance: among the smallest companies, those with a more domestic revenue mix grow nearly twice as fast as their international-focused peers. But this pattern reverses at scale, from €5M and above, internationally focused companies consistently outgrow their more domestic counterparts. This suggests that internationalisation is a powerful growth lever, but if you go too early it can hurt your growth.

80%
€0–1M: domestic share
38%
>€25M: domestic share
Finding 2

AI is becoming the new growth engine, but the monetization gap remains

More companies are implementing and integrating AI into their business

AI Integration Journey by Year

Not started Experimenting Exploring Implementing Integrated
2025
16%
23%
41%
18%
2024
5%
28%
25%
28%
14%
2023
5%
32%
30%
22%
11%
60%At implementation or integration stage (2025)
42%Were at those stages in 2024
33%Were at those stages in 2023
2%Have not started their AI journey

% of companies with fully integrated AI

🇩🇰
DK
9%
Fully integrated
🇳🇴
NO
13%
Fully integrated
🇸🇪
SE
18%
Fully integrated
🇫🇮
FI
33%
Lead market ★

The Nordics are moving from experimentation to execution, with Finland in the lead

AI adoption continues to accelerate. In 2025, 60% of companies report that they have reached either the implementation or integration stage, up from 42% in 2024 and 33% in 2023. Only 2% now say they have not started their AI journey.

The share of companies in the exploring and experimenting phases continues to decline, signalling that AI is moving from pilot initiatives to operational deployment and embedded use.

Finland stands out as the most advanced market, with the highest share of fully integrated companies. Sweden shows steady progress, Denmark is more polarized with 48% of implementing companies, and Norway sits close to the regional average.

Overall, AI is no longer a future ambition. For most companies, it is becoming part of how the business runs and evolves.

Internal AI use is widespread, but cost impact remains limited

Internal AI Use

91%
Research & development
Internal AI adoption
91%
General & administrative
Internal AI adoption
58%
Go-to-market
Internal AI adoption
46%
Customer success
Internal AI adoption

Note: See appendix for more detailed information about internal AI usage

Effects Realized by Internal AI Use

Productivity improvement, but no cost reduction70%
Moderate cost reduction19%
No noticeable effect yet9%
Significant cost reduction2%
Negative effect / increased overhead1%

R&D and administrative use leads internal AI adoption, and while 97% report positive effects, most gains are productivity-driven rather than cost-saving

Over the past two years, the share of companies that have implemented or integrated AI in their internal processes has doubled from 33% to 65%, marking a clear shift from experimentation to operational deployment. Internal AI is now embedded across core functions.

Adoption is particularly concentrated in R&D, where AI is widely used for code generation, automated testing, bug detection, and engineering assistants supporting documentation and refactoring. General & administrative functions also show broad uptake, including meeting transcription, internal knowledge copilots, finance automation, HR screening, workflow automation, and strategy support. Customer-facing and go-to-market functions are increasingly adopting AI as well.

The operational impact is overwhelmingly positive: 97% of companies report improvements from internal AI use. However, only 27% have achieved measurable cost reductions. Most companies (70%) report productivity gains without structural cost savings, meaning AI is currently improving speed, output, and decision-making more than it is reducing cost bases.

Product AI adoption is accelerating, but monetization remains uneven

In 2025 43% generate some AI-related revenue, up from 34% 2024, yet few see AI as a core revenue driver

AI is increasingly embedded in product offerings, with copilots, industry-specific automation, and AI-generated outputs emerging as the most common implementations. Adoption is broad, but commercial capture remains mixed.

43% of companies now report some level of AI monetization, up from 34% the year prior, indicating clear progress. However, only a minority view AI as a significant or core revenue driver. 36% report that their customers use their AI features but don't pay for it, and 21% report no measurable effect. Compared to internal AI adoption, the product-side journey is progressing more gradually and remains harder to translate into clear commercial outcomes.

0%
Report some AI monetization (2025)
↑ Up from 34% in 2024
0%
Customers use AI but don't pay for it
0%
No measurable effect on revenue
0%
Significant monetization / core revenue driver
Use of AI in Product Offering
AI's role in product monetization
Significant monetization / core revenue driver9%
Some monetization34%
Customer use AI but do not pay for it36%
No measurable effect21%

AI maturity correlates strongly with higher growth, but not immediate profitability

Avg. revenue growth and profitability based on stage in AI Journey¹
Growth rate EBIT-margin

¹ Internal AI Journey. Growth rate on left axis, EBIT-margin on right axis.

Growth accelerates materially with AI maturity, while EBIT effects remain uneven

Revenue growth increases consistently as companies advance along the AI journey, rising from single-digit levels among those that have not started to over 30% for fully integrated adopters. The strongest acceleration is observed once companies move from exploration to implementation and integration.

The relationship with profitability is less linear. While companies that have not yet started report relatively solid EBIT margins, margins tend to compress during the experimentation and implementation phases before partially recovering. This suggests that AI investments may initially weigh on profitability before scaling effects materialize.

"AI has moved from ambition to execution. With 60% of Nordic software companies now at the implementation or integration stage, the real question is no longer whether to adopt AI, but how to turn the new capabilities into lasting competitive advantage."

Nils Hulth
AI Lead, Monterro

"When AI went from buzzword to boardroom priority, our customers started asking a different question: not 'how do we build AI?' but 'how do we trust the data it runs on?' That's when we realised our platform wasn't just a backend tool anymore, it was the foundation that makes AI reliable. Repositioning around that insight reignited our growth."

Alexandra Bosson
CEO, TimeXtender — Data Warehouse Automation
Finding 3

Strategic challenges are becoming a key pressure point

The challenges are shifting — from execution to differentiation

Sales execution stabilizes while positioning, competition and pricing accelerate

For five years, sales execution has been the dominant challenge for Nordic software companies. While it remains number one, it's steadily declining in relative terms as companies mature their GTM engines. What's rising fast is a cluster of strategic challenges like positioning, competition and pricing, that signal a market entering a new phase. As AI commoditizes features and lowers barriers to entry, the question is shifting from "can we sell?" to "can we differentiate?"

The data shows this isn't evenly distributed: smaller companies struggle most with positioning, while larger companies face competition head-on.

Meanwhile, GTM efficiency is improving, with CAC-payback down to 14.0 months from 14.6 in 2024, suggesting execution is getting better even as the strategic landscape gets harder.

Struggling to clearly articulate what makes you different? Read our practical guide to stronger positioning here.

Core challenge, % of respondents
Strategic challenges increasing in relevancy
Positioning Getting pricing right Increased competition / market disruption
Execution challenges decreasing in relevancy
Sales execution Marketing execution Succeeding with internationalisation

Differentiation challenges split the market

Positioning constrains smaller companies, while competitive pressure defines the next growth tier

Companies below €10M in revenue are significantly more likely to struggle with positioning, roughly one in four cite it as a top challenge. At this stage, the core question remains one of identity and differentiation: defining a clear niche and articulating what makes the product distinct.

Above €10M, the challenge shifts. Among companies in the €10–25M range, 29% cite increased competition, nearly three times the rate of smaller companies. These businesses have established their market position but now face direct pressure from new entrants and increasingly well-funded competitors.

From identity to intensity

The growth data reinforces this pattern. Of companies growing 5–20% almost 30% are reportedly struggling with positioning, suggesting that unclear differentiation may be constraining momentum. In contrast, only 8% of companies growing 40–90% cite positioning as a challenge. The fastest growers have already resolved the question of who they are and are competing from a position of clarity.

Core challenge, % of respondents
Positioning
Competition / Disruption
Getting pricing right
€ 0–1M
24%
5%
10%
€ 1–5M
24%
9%
20%
€ 5–10M
20%
11%
20%
€ 10–25M
14%
29%
19%
> € 25M
8%
17%
8%

Start-ups ask themselves "who are we?" while scale-ups ask "who else is here?"

BENCHMARK: CAC-payback¹ has stabilized after increasing in recent years

Average CAC-payback (months)
2021 2022 2023 2024 2025

Sales efficiency strengthens, but the execution gap persists

Despite intensifying competition, companies are getting more efficient at acquiring customers. Average CAC-payback improved to 14.0 months, the first improvement in four years. The most notable improvement came from the €5–10M segment moving from 17.0 to 14.5 months over two years. This suggests these companies are maturing their sales processes. However, the spread remains wide: top-quartile companies recover customer acquisition costs in just 6 months, a 3x gap to bottom-quartile companies that take 18 months to recover CAC.

Median and top quartile CAC-payback
(Months, by company size)
Median CAC-payback Top quartile CAC-payback

¹ CAC-payback = months to recover customer acquisition cost from gross margin

BENCHMARK: Sales cycle length and marketing spend varies based on ARPA¹

Larger deals and enterprise motions significantly extend buying cycles and put less focus on marketing

Sales cycle length varies dramatically based on deal size and Go-to-market model. Enterprise-sales teams face average cycles of nearly 9 months, more than double the 4.3 months for inside-sales.

Deal size is an even stronger driver: €100k+ deals take an average of 11.7 months, nearly 3x longer than sub-€15k deals. In a more competitive market, longer sales cycles mean buyers have more time to compare alternatives making clear positioning and differentiation even more critical.

Median and top quartile marketing spend (%) by ARPA
Marketing spend
0k–5k
5k–15k
15k–35k
35k–100k
>100k
Total
Top quartile
6%
5%
5%
5%
4%
5%
Median
5%
3%
3%
4%
2%
3%
Median and top quartile sales cycle (months²) by ARPA
Sales cycle length
0k–5k
5k–15k
15k–35k
35k–100k
>100k
Total
Top quartile
2
3
5
5
8
4
Median
4
4
6
9
12
6

¹ ARPA = Annual Recurring Revenue Per Account   ² Months from first contact to signed contract

BENCHMARK: KPI benchmarks differ by primary go-to-market model

Benchmarks differ significantly by your primary go-to-market model. Adjust your targets based on your unique position.

KPI
% of all companies
CAC-payback (months)
Sales cycle length (months)
Marketing spend (% of revenue)
Churn
% FTEs in sales and marketing
GTM-model
Median
Top Q
Median
Top Q
Median
Top Q
Median
Top Q
Median
Top Q

"We operate in a competitive market where differentiation on features and functions is very difficult. Once we nailed our positioning with a clear value proposition across product and services, the conversations changed overnight."

Philip McCrea
CEO, Viedoc — eClinical Solutions
Finding 4

Customer satisfaction and net retention down, but AI adopters are winning the battle

NPS declines broadly; AI monetizers lead on NRR

Overall NPS declines from 47 to 42 in 2025. The drop is particularly pronounced in the SMB segment, where NPS falls from 42 to 30 — the largest decline across all customer groups. Net Revenue Retention continues its gradual decline from 105.3% to 104.4%, and overall growth slows materially.

BENCHMARK: Customer satisfaction generally declining

NPS (Net Promoter Score) by Target Customer Segment
2024 2025
Bad
−100 – 0
Not bad
0 – 30
Great
30 – 70
Excellent
70 – 100
Target Customer Segment
What is NPS?

Net Promoter Score (NPS) measures customer loyalty by asking how likely customers are to recommend a product on a 0–10 scale. It is calculated as the percentage of Promoters (9–10) minus the percentage of Detractors (0–6), resulting in a score between −100 and +100.

AI adopters are winning the retention battle

NRR based on stage in AI Journey
Price Change NRR (excl. price change)
Stage in AI Journey
What is NRR?

Net Revenue Retention (NRR) measures the percentage of recurring revenue retained from existing customers over a 12-month period, including upsell and cross-sell, but excluding revenue from new customers.

On average, a higher NRR correlates with companies having progressed further in the AI journey

This is particularly notable given the broader market trend. Overall NRR has declined in recent years, falling from above 110% to just above 104%.

The gap becomes even clearer when looking at monetization. Companies actively monetizing AI report an average NRR of 116%, compared to 104% across the full sample. This suggests that AI is not only a productivity initiative, but a meaningful driver of customer stickiness and expansion revenue.

At the same time, we can also observe that more AI-mature companies were able to increase prices significantly more than others during 2025. AI-mature companies stand out not only by delivering materially stronger retention and expansion performance, but also by commanding a much better pricing power.

104%

Avg. NRR of companies
not monetizing on AI

116%

Avg. NRR of companies
significantly monetizing AI

BENCHMARK: CSM Benchmarks by ARPA

ARPA
Median NPS
Top Q NPS
Median Churn
Median NRR
Top Q NRR
FTEs in CS&Support
Recurring Rev %

"We turned NPS to a company-wide initiative, not just a metric. Every team, from product to support, owns a piece of the customer experience. Our roadmap has explicit NPS levers, and we act on detractor feedback within 48 hours. That shared accountability is what keeps our NRR consistently high."

Johan Blomdahl
CEO, TimeEdit — Resource Management for Universities
Finding 5

Changes in the pricing landscape where usage and feature-based pricing is on the rise

Feature-based pricing surges as pricing sophistication increases

Pricing models used, share of companies (multiple choice)¹
Trend since 2024

¹ Question in 2024 was single choice, numbers between time periods not fully comparable

More experimentation and greater complexity as pricing moves up the strategic agenda

Feature-based and usage-driven pricing models are gaining prominence in the Nordic SaaS market, reflecting a broader shift toward value-oriented and consumption-linked monetization. Rather than relying primarily on seat-based or flat pricing, companies are increasingly structuring pricing around how value is delivered and consumed.

The overall landscape is becoming more diversified. Nearly half of companies now operate with three or more pricing models, highlighting increased experimentation and hybrid approaches. As AI-enabled features introduce new value tiers and competition intensifies, pricing is evolving from a static metric to a more strategic capability, even as this adds operational and strategic complexity.

"We see a shift toward usage-based pricing, even in traditionally compliance-driven segments. Trapets is experiencing growing demand for real-time solutions, with customers increasingly preferring predictable pricing models that also reflect actual usage and value delivered."

Niklas Rosvall
CPO, Trapets — RegTech / FinTech
Operational +

Employee & efficiency benchmarks

Employee & Productivity Metrics

Average FTEs by Company Size & Function

How does a typical Nordic B2B SaaS organisation scale across functions?

Function €0–1M €1–5M €5–10M €10–25M
Benchmark

Recurring revenue per developer as a scalability benchmark

Recurring revenue per developer
(Bottom quartile, median and top quartile)
Top quartile Median Bottom quartile
k EUR / FTE  ·  Hover to explore segment data

How recurring revenue per R&D employee evolves across revenue brackets

Recurring revenue per R&D employee differs across revenue segments, reflecting how development leverage evolves as companies scale. Larger revenue brackets tend to operate at higher absolute recurring revenue per developer levels, indicating greater organizational leverage.

At the same time, variation between bottom, median and top quartile remains visible within each segment. This dispersion highlights that revenue per developer is not purely a function of size, but also of how effectively companies structure and scale their development organizations.

As companies grow, recurring revenue per developer serves as a useful benchmark for assessing R&D scalability and operational efficiency relative to peers.

Want to learn more about how to scale your development team? Read our “how-to-guide” here.

Appendix

About the Respondents

N = 236 Nordic B2B software companies

Country
Sweden 57%
Denmark 14%
Norway 13%
Finland 12%
Other 4%
Company size
€ 0–1M 11%
€ 1–5M 48%
€ 5–10M 21%
€ 10–25M 12%
> € 25M 8%
Primary go-to-market model
Product led 17%
Marketing led 16%
Inside-sales led 7%
Enterprise-sales led 51%
Partner-led 9%
Geographical revenue split
Domestic 63%
Nordics 11%
Europe 16%
North America 6%
Rest of world 5%
N = 236

Appendix (2/2)

About the respondents of the software survey

Respondent title1)

1) Respondents could select up to three answers for this question

Customer segment2)

2) Respondents could select up to two answers for this question

Main offering

Internal AI Usage Detail (% of companies)

FLARE DISTANCE DARK (2)

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