An unprecedented analysis combining real behavioural data from 255,989 users of Sugar Daddy Planet with market data from SEMrush on the sugar dating phenomenon across 21 European countries.
📊 Sources: real platform + SEMrush🔒 100% anonymised🌍 21 European countries
Monthly search volume for “sugar daddy” by country (SEMrush). This measures real demand, not sign-ups on any particular platform.
Turkey leads Europe with 49,500 monthly searches — nearly double Germany, the UK or Poland. Spain ranks 9th with 9,900. Real demand does not match where people sign up to platforms.
The Nordic phenomenon: a different vocabulary
In Nordic countries, people search for “sugar dating” (gender-neutral) rather than “sugar daddy”. In Southern Europe, the gendered term dominates.
In Denmark, “sugar dating” (22,200/mo) outpaces “sugar daddy” (3,600) by 6×. In Spain or France, “sugar dating” is barely searched. This reflects more egalitarian cultures that frame the phenomenon as a relationship dynamic, not a gendered power role.
02
The market: who dominates?
Market share distribution in the sugar dating sector across Europe (source: SEMrush).
Position
Market share
Visits/mo
Trend
Market leader
64.9%
3.9M
↓ 8.5%
2nd platform
17.5%
1.1M
↑ 4.9%
3rd platform
12.3%
747K
↑ 16.1%
4th platform
5.3%
321K
↓ 34.8%
The market leader holds ~65% but is losing traffic, while the 3rd platform grows at 16.1% and is the most focused on continental Europe. Sugar dating is overwhelmingly mobile: 74% of traffic comes from smartphones.
03
Who uses sugar dating?
Real demographic profile based on 255,989 user profiles and SEMrush audience data.
For every Sugar Daddy there are…
4.2
Sugar Babies
However, SEMrush audience data shows overall interest is nearly equal: 50.5% male / 49.5% female.
Age by role
28.6
Average Baby age
79% under 35
42.6
Average Daddy age
60% between 35–55
14
Year gap
Between average ages
Global audience (SEMrush)
Women dominate the 25-34 group (14% vs 11% men) — the typical sugar baby age. A significant 22% of the audience is over 55, confirming sugar dating is not solely a youth phenomenon.
The platform is ageing
Sugar Daddies went from an average of 35 at registration in 2019 to 41 in 2025. Sugar Babies jumped from 22.8 to 28.1 in 2024. The platform attracts a progressively older audience.
04
Market asymmetry
The sugar baby to sugar daddy ratio varies enormously between countries. This defines who holds the power of choice.
Best ratio (for Babies)
Land
Ratio
Worst ratio (for Babies)
Land
Ratio
Parma
🇮🇹
1.0:1
Utrecht
🇳🇱
9.3:1
Athens
🇬🇷
1.1:1
Rotterdam
🇳🇱
8.5:1
Padova
🇮🇹
1.2:1
Amsterdam
🇳🇱
7.1:1
Sibiu
🇷🇴
1.2:1
Marseille
🇫🇷
6.8:1
Italian and Romanian cities have near parity. Dutch cities reach 7-9:1 — the most saturated market in Europe.
05
How do they communicate?
Real messaging patterns from 404,710 messages and 71,273 conversations.
404,710
Berichten
71,273
Conversations
10 PM
Peak hour
What time do people flirt?
Activity by day of the week
Peak activity is at 10 PM. Weekday activity is consistently higher than weekends. Sugar Daddies are more active in the morning (office hours); Babies are more active at night.
Who makes the first move?
55%
Sugar Daddies initiate
26,901 conversations
45%
Sugar Babies initiate
22,013 conversations
Contrary to the stereotype, Sugar Babies are remarkably proactive: they initiate 45% of all conversations. The gap is only 10 percentage points.
06
The generational gap
19.8 years on average: the age difference across 18,693 real conversations.
19.8
Average age gap
49
Maximum gap (years)
1.8%
Baby older than Daddy
Most frequent age combinations
Age gap by city
Largest gap
Gap
Smallest gap
Gap
🇮🇹 Turin
21.0 yrs
🇵🇹 Aveiro
9.9 yrs
🇮🇹 Rome
19.2 yrs
🇷🇴 Bucharest
10.6 yrs
🇮🇹 Milan
19.1 yrs
🇪🇸 Almería
10.9 yrs
🇫🇷 Paris
16.9 yrs
🇵🇹 Porto
12.1 yrs
🇪🇸 Barcelona
15.2 yrs
🇵🇱 Poznań
12.3 yrs
07
What makes a profile successful?
The factors that correlate with receiving more messages.
Longer bio = more messages
5.8×
more messages received with a long bio (>500 chars) vs. a short one (<50 chars)
Bio length is the strongest predictor of profile success. Investing time in self-description multiplies attention by nearly six. Visible effort builds trust.
08
Engagement by country
Messages sent per active user. Not all markets behave the same.
Spanish users send an average of 105 messages each — double the French and six times more than the Dutch. Spain leads not only in volume but in intensity.
09
Moderation & safety
179 reports analysed reveal the real risks of sugar dating.
Scam accounts for 45% of reports — the main risk. Escort reports (24%) reflect the tension between sugar dating and sex work. The 10 reports involving potential minors (5.6%) demand priority attention from the industry.
10
Key findings
🇹🇷
Turkey is #1 in Europe
With 49,500 searches/month, nearly double Germany, the UK or Poland. A significantly underestimated market.
🇩🇰
Nordics say “sugar dating”, not “sugar daddy”
In Denmark the gender-neutral term outpaces the gendered one by 6×. A reflection of more egalitarian societies.
⚖️
The audience is nearly equal: 50.5% male / 49.5% female
SEMrush data debunks the stereotype that sugar dating is a predominantly male-interest phenomenon.
✍️
Write more = receive more
Profiles with long bios receive 5.8× more messages. Visible effort is the most powerful trust signal.
🇮🇹
Italy: Europe’s largest generational gap
21 years in Turin, 19 in Rome and Milan. Italian Sugar Daddies average 47 years old.
📱
Sugar dating is mobile
74% of traffic to platforms comes from smartphones.
💬
Sugar Babies are not passive
They initiate 45% of conversations. The gap with Daddies is only 10 percentage points.
11
Methodology
Data sources: This study combines two independent sources. (1) The operational database of sugardaddyplanet.com, accessed by the platform owner for analytical purposes. (2) SEMrush market data (February 2026) on search volumes, web traffic and audience demographics across 21 European countries.
External sample: 21 European countries analysed by search volume, traffic and market share.
Anonymisation: Only read-only queries were used. No personal data was extracted. No private message content was read.
Limitations: The platform does not collect marital status, education, profession, income or allowance data. SEMrush volumes are rounded to standard intervals. Audience demographic data was obtained from aggregated SEMrush data.
