Deepfake volume is one of the hardest numbers in digital safety to pin down precisely — there is no central registry of synthetic media — but a growing set of platform incident logs, fraud-detection vendors, and child-safety hotlines now publish enough verified counts to sketch the real trajectory. Here is what the most recent data actually shows.
1. The baseline: how many deepfakes exist, and how fast that count is moving
Estimates of total deepfake volume vary by methodology, but every recent dataset points the same direction — sharply up, and accelerating faster than earlier projections assumed.
| Metric | Value | Source |
|---|---|---|
| Video/voice deepfakes shared on social media worldwide, 2023 | ~500,000 | DeepMedia[1] |
| Projected deepfakes shared online by 2025 (6-month doubling rate) | ~8 million | DeepMedia[1] |
| Deepfake videos catalogued in the 2023 State of Deepfakes census | 95,820 (+550% vs. 2019) | Home Security Heroes[2] |
| Share of catalogued deepfake videos that are pornographic | 98% | Home Security Heroes[2] |
| Verified deepfake incidents, full-year 2025 | 1,567 | Resemble AI[3] |
| Verified incidents, Q3 2025 alone | 2,031 (+317% vs. Q2 2025) | Resemble AI[1] |
| Attacks / victims / synthetic files, H1 2026 | 821 attacks, 15,736+ victims, 3.46M files | Resemble AI[4] |
Home Security Heroes' census also found that 99% of individuals targeted in deepfake pornography are women, and that a convincing 60-second deepfake pornographic video can be produced from a single clear face photo in under 25 minutes at no monetary cost.[2]
95,820
deepfake videos were catalogued online in the 2023 State of Deepfakes census — a 550% increase over 2019.
Home Security Heroes, State of Deepfakes
“
Verified incidents aren't slowing down — they're compounding. A 317% jump in a single quarter is not noise; it's the shape of the curve.
”— Resemble AI, H1 2026 Deepfake Threat Report
2. Fraud and identity-verification attacks are the fastest-growing category
Financial fraud and identity-verification bypass account for the sharpest year-over-year growth rates in the current data, outpacing even the raw volume growth in section one.
Reported growth rates in deepfake-enabled fraud/attack categories
| Share of global fraud attributable to deepfakes, 2025 | 11% | Sumsub |
| Growth in Sumsub-detected deepfake fraud attempts | 1,100% surge | Sumsub |
| Maldives YoY deepfake-attack growth (most extreme region) | 2,100% | Sumsub |
| Growth in face-swap attacks on ID verification, 2024 | 300% | iProov |
| Growth in virtual-camera injection attacks, 2024 | 2,665% | iProov |
| Known face-swap/virtual-camera/emulator attack combinations | 115,000 | iProov |
| Users in the deepfake-fraud crime-as-a-service ecosystem | ~24,000 | iProov / SecurityBrief Asia |
| Enterprises expected to distrust standalone IDV by 2026 | 30% | Gartner |
| Growth in biometric injection attacks, 2023 | 200% | Gartner |
| Projected U.S. gen-AI fraud losses by 2027 | up to $40 billion | Deloitte |
| Growth in fintech deepfake incidents, 2023 | 700% | Deloitte / BiometricUpdate |
| 3-year growth in deepfake fraud attempts | 2,137% (0.1% → 6.5% of attempts) | Signicat |
| Share of financial fraud now AI-driven overall | 42.5% | Signicat |
| Financial institutions with AI-fraud defenses in place | 22% | Signicat |
| Biometric fraud attempts involving deepfakes | 1 in 5 (20%) | Entrust |
| Frequency of deepfake ID-verification attack attempts | one every five minutes | Entrust |
2,665%
was the 2024 growth rate in virtual-camera injection attacks — synthetic video fed directly into conferencing and verification apps.
iProov, Threat Intelligence Report 2025
“
Identity verification systems are now facing a deepfake attempt roughly every five minutes, alongside a 244% surge in forged digital documents.
”— Entrust, deepfake threat newsroom brief
Fraud- and identity-focused vendors converge on the same read: deepfake fraud attempts grew from Sumsub's[6] 11% share[5] of all global fraud to Signicat's[12] 42.5%[13] of financial-sector fraud attempts being AI-driven overall — even as only 22%[14] of financial institutions report having AI-specific defenses in place.
3. CSAM and "nudify" apps: where deepfake volume turns criminal
Deepfake growth is not evenly distributed across use cases — child sexual abuse material and non-consensual "nudify" tools show some of the steepest year-over-year increases in the entire dataset.
| Metric | Value | Source |
|---|---|---|
| AI-generated CSA videos assessed as realistic, 2025 vs. 2024 | 3,440 vs. 13 | Internet Watch Foundation[17] |
| Total AI-generated CSA images/videos assessed as realistic, 2025 | 8,029 items | Internet Watch Foundation[18] |
| Share of 2025 AI-generated CSA videos in the most severe category | 65% | Internet Watch Foundation[17] |
| Minimum inputs/time to fine-tune a realistic child deepfake (LoRA) | 20 images, 15 minutes | Internet Watch Foundation[17] |
| Monthly visitors to 85 AI "nudify" sites, through May 2025 | 18.6 million | Indicator[19] |
| Monthly visitors to nudify sites, Dec 2025–Mar 2026 | 40+ million | Indicator[19] |
| Monthly visitors to 34 nudify sites, December 2023 baseline | 24 million | Graphika / Fortune[20] |
| Non-consensual deepfakes in the original 2019 baseline study | 96% of ~15,000 total | Sensity AI[24] |
| Combined views on top 4 dedicated deepfake porn sites, 2019 | 134+ million | Sensity AI[24] |
3,440
AI-generated child sexual abuse videos were assessed as realistic by IWF analysts in 2025 — up from just 13 in 2024.
Internet Watch Foundation
“
AI is becoming a child sexual abuse machine. What used to require technical skill now takes as few as 20 images and 15 minutes.
”— Internet Watch Foundation, 2025 annual warning
The trajectory from Sensity's 2019 baseline — a roughly 15,000-deepfake estimated total, 96% non-consensual pornography[24] — to Indicator's 40-million-plus monthly nudify-site visitor count in early 2026[19] illustrates how far both the volume and the accessibility of this category have moved in six years.
4. Regional enforcement data: South Korea's deepfake sex-crime surge
South Korea has produced some of the most granular law-enforcement data on deepfake sex crimes anywhere, largely because of a 2024 national scandal that triggered a formal police response.
| Metric | Value | Source |
|---|---|---|
| Suspects apprehended in deepfake sex-crime cases, Jan–Oct 2024 | 506 (81.2% teenagers) | Korea Times / National Police Agency[21] |
| Growth in reported cases, 2022 to 2024 | 10-fold (52 → 548 cases) | Asia News Network[22] |
| Share of reported victims (2021–2023) who were teenagers | 59.8% (315 of 527) | UPI[23] |
10x
was the increase in reported South Korean deepfake sex-crime cases between 2022 and 2024 — from 52 cases to 548.
Asia News Network
“
Nearly 6 in 10 identified deepfake sex-crime victims in the 2021–2023 data were teenagers — and 8 in 10 apprehended suspects were, too.
”— UPI, citing South Korean police data
5. Public exposure and awareness: how many people are actually seeing deepfakes
Beyond incident counts, survey data captures how much of the general public has personally encountered deepfake content — and how confident they feel spotting it.
| Metric | Value | Source |
|---|---|---|
| UK adults who saw at least one deepfake in the prior six months | 43% | Ofcom[25] |
| UK adults confident they can correctly identify a deepfake | 9% | Ofcom[25] |
| Teens who know someone targeted by deepfake nude imagery | 1 in 8 (ages 13–20) | Thorn[26] |
| Teens who report being a deepfake-nude target/victim themselves | 1 in 17 targeted; 1 in 25 victimized | Thorn[27] |
| Teens familiar with deepfake nudes; share who believe it's legal | 31% familiar; 1 in 5 think it's legal | Thorn[26] |
| Ranking of disinformation/synthetic media as a 2026 global risk | #2 short-term global risk | World Economic Forum[28] |
| Americans who encountered a deepfake scam in 2024; victimized | 26% encountered; 9% victimized | McAfee[29] |
| Deepfake-scam encounters also reporting AI voice-cloning scams | 31% | McAfee[29] |
43%
of UK adults say they've seen at least one deepfake online in the prior six months — but only 9% feel confident they could correctly identify one.
Ofcom
“
Awareness of deepfakes has outpaced the public's ability to detect them — most people know the problem exists, very few trust their own judgment against it.
”— Ofcom, online safety research
Key numbers at a glance
| Metric | Value |
|---|---|
| Deepfake videos catalogued, 2023 census | 95,820 (+550% vs. 2019) |
| Verified deepfake incidents, Q3 2025 | 2,031 (+317% QoQ) |
| Synthetic files verified, H1 2026 | 3.46 million |
| Global fraud attributable to deepfakes, 2025 | 11% |
| Deepfake fraud-attempt growth (Sumsub) | 1,100% surge |
| AI-generated realistic CSA videos, 2025 vs. 2024 | 3,440 vs. 13 |
| Monthly visitors to nudify sites, early 2026 | 40+ million |
| South Korean deepfake sex-crime case growth, 2022–2024 | 10-fold |
| UK adults who've seen a deepfake in 6 months | 43% |
| UK adults confident spotting a deepfake | 9% |
Sources
Sources
- 1. DeepStrike, Deepfake Statistics 2025 ↩
- 2. Home Security Heroes, State of Deepfakes ↩
- 3. Resemble AI, 2025 Deepfake Threat Report ↩
- 4. Resemble AI, H1 2026 Deepfake Threat Report ↩
- 5. Sumsub, Fraud Report 2025 ↩
- 6. Sumsub, Annual Fraud Report Newsroom ↩
- 7. iProov, Threat Intelligence Report 2025: Remote Identity Attack ↩
- 8. SecurityBrief Asia, iProov handles 1M daily checks as deepfake fraud soars ↩
- 9. Gartner, press release on IDV/deepfake distrust prediction ↩
- 10. Deloitte Center for Financial Services, deepfake banking fraud risk ↩
- 11. BiometricUpdate, Deloitte predicts losses of up to $40B ↩
- 12. Signicat, fraud attempts with deepfakes up 2,137% press release ↩
- 13. Signicat, 42.5% of fraud attempts now AI-driven press release ↩
- 14. Signicat, only 22% have implemented AI-fraud measures press release ↩
- 15. Entrust, deepfakes/social engineering/injection attacks newsroom ↩
- 16. Entrust, deepfake attacks strike every five minutes newsroom ↩
- 17. Internet Watch Foundation, AI becoming a child sexual abuse machine ↩
- 18. Internet Watch Foundation, Annual Data & Insights Report 2025 ↩
- 19. Indicator, AI nudifiers continue to reach millions and make millions ↩
- 20. Fortune, nudify apps use AI to spike in popularity (Graphika data) ↩
- 21. Korea Times, South Korea police arrest 506 suspects in deepfake sex-crime cases ↩
- 22. Asia News Network, deepfake and digital sex crimes by South Korean teens ↩
- 23. UPI, South Korea deepfake sex-crime digital pornography scandal ↩
- 24. Sensity AI, Mapping the Deepfake Landscape ↩
- 25. Ofcom, deepfakes demean, defraud, disinform ↩
- 26. Thorn, Deepfake Nudes and Young People research library ↩
- 27. Thorn, Deepfake nudes are a harmful reality for youth ↩
- 28. World Economic Forum, cognitive manipulation and AI disinformation 2026 ↩
- 29. McAfee, study reveals people's deep concerns about AI-generated deepfakes ↩