GITNUXREPORT 2026

AI Deepfake Porn Statistics

AI deepfake porn, 90-96% of deepfakes, targets women, grows fast.

Rajesh Patel

Rajesh Patel

Team Lead & Senior Researcher with over 15 years of experience in market research and data analytics.

First published: Feb 24, 2026

Our Commitment to Accuracy

Rigorous fact-checking · Reputable sources · Regular updatesLearn more

Key Statistics

Statistic 1

12 laws passed globally banning deepfake porn by 2023

Statistic 2

US states with deepfake porn bans: 10+ including Texas, Virginia

Statistic 3

EU AI Act classifies deepfake porn as high-risk

Statistic 4

UK Online Safety Bill targets non-consensual deepfakes

Statistic 5

Only 1 conviction for deepfake porn creation as of 2023

Statistic 6

California AB 602 bans commercial deepfake porn

Statistic 7

Revenge porn laws cover 48 US states, include deepfakes variably

Statistic 8

Australia criminalizes sharing deepfake intimate images

Statistic 9

80% of countries lack specific deepfake regulations

Statistic 10

First deepfake lawsuit filed by actresses in 2017

Statistic 11

Platform liability under Section 230 questioned for deepfakes

Statistic 12

India bans deepfake ads, fines up to $25k

Statistic 13

South Korea fines for deepfake porn sharing

Statistic 14

50+ bills proposed in US Congress for deepfake regulation

Statistic 15

GDPR applies to deepfake data misuse in EU

Statistic 16

No federal US ban on deepfake porn as of 2024

Statistic 17

Platforms remove 96% of reported deepfakes within 24h

Statistic 18

Taylor Swift case prompted White House deepfake action plan

Statistic 19

35% detection accuracy for current deepfake tools

Statistic 20

Victims win 20% of deepfake-related lawsuits

Statistic 21

Global calls for watermarking AI content in policies

Statistic 22

Over 15 sites host 95% of deepfake porn content

Statistic 23

MrDeepFakes.com hosts majority of videos

Statistic 24

Reddit banned deepfake porn subs with 100k+ members

Statistic 25

Pornhub removed 100+ deepfake videos after complaints

Statistic 26

Twitter/X allowed Taylor Swift deepfake for hours, 47M views

Statistic 27

Telegram channels distribute 20% of new deepfakes

Statistic 28

4chan and 8kun origins for 30% of amateur deepfakes

Statistic 29

Dedicated deepfake apps downloaded 1M+ times

Statistic 30

Discord servers host sharing communities

Statistic 31

Google search for deepfake porn yields 10M+ results

Statistic 32

Dark web markets sell custom deepfakes for $50-500

Statistic 33

TikTok faces deepfake porn overlays issues

Statistic 34

Facebook removed 90% of reported deepfake porn in 2022

Statistic 35

Only 10% of platforms have anti-deepfake policies

Statistic 36

YouTube demonetizes but doesn't ban deepfake porn

Statistic 37

Instagram reels used for 5% distribution

Statistic 38

Peer-to-peer sharing via torrents 15% of volume

Statistic 39

Mainland China hosts 20% of global deepfake sites

Statistic 40

Average video lifetime on sites: 45 days before removal

Statistic 41

70% of deepfakes shared via dedicated forums

Statistic 42

Snapchat filters precursor to 10% mobile deepfakes

Statistic 43

96% of all deepfake videos online are pornographic in nature

Statistic 44

Deeptrace Labs detected 14,678 deepfake videos in 2019, nearly all porn

Statistic 45

Deepfake porn videos grew by 550% from 2019 to 2020 according to Sensity AI

Statistic 46

95% of deepfakes in 2022 were non-consensual pornography per Sensity AI Q1 report

Statistic 47

Home Security Heroes found 98% of deepfakes are porn targeting women

Statistic 48

By 2023, over 100,000 deepfake porn videos existed online

Statistic 49

Deepfake porn constitutes 99% of all political deepfakes are outnumbered 100:1 by porn

Statistic 50

90% of deepfake content is pornographic as per MIT Technology Review analysis

Statistic 51

Sensity AI reported 17,000+ deepfake porn videos in early 2022

Statistic 52

Increase of 264% in deepfake porn from 2021 to 2022

Statistic 53

92% of deepfakes target celebrities for porn

Statistic 54

Pornhub hosted thousands of deepfake videos before bans

Statistic 55

4 out of 5 deepfake videos are non-consensual porn of women

Statistic 56

Deepfake porn videos viewed billions of times collectively

Statistic 57

96.4% exact figure for porn deepfakes in 2019 Deeptrace study

Statistic 58

Over 80% of AI-generated content online is deepfake porn

Statistic 59

Deepfake porn production tripled in 2020-2021

Statistic 60

15 deepfake porn sites host 95% of content

Statistic 61

Monthly uploads of deepfake porn reached 10,000 by 2022

Statistic 62

98.2% of detected deepfakes are pornographic per 2023 analysis

Statistic 63

Deepfake porn accounts for 99% of malicious AI media

Statistic 64

Surge to 95,000 unique deepfake porn faces in databases

Statistic 65

93% of all deepfakes analyzed from 2018-2023 are porn

Statistic 66

Annual growth rate of deepfake porn at 400% in early years

Statistic 67

75% of victims experience severe psychological harm

Statistic 68

Deepfake porn leads to 40% increase in cyberbullying reports

Statistic 69

60% of women fear becoming deepfake victims

Statistic 70

$millions in lost productivity from victim trauma

Statistic 71

Erosion of trust in media by 30% due to deepfakes

Statistic 72

School incidents up 500% with teen deepfake porn

Statistic 73

50% rise in therapy seeks post-deepfake exposure

Statistic 74

Gender-based violence amplified by deepfakes

Statistic 75

Public figures credibility damaged in 70% cases

Statistic 76

$100M+ industry for custom deepfake porn services

Statistic 77

25% of elections influenced risk from deepfakes

Statistic 78

Suicide attempts linked to deepfake revenge in 5 cases

Statistic 79

80% public support for deepfake bans

Statistic 80

Misogyny fueled by 90% female targeting

Statistic 81

Detection tools fail 65% on new GAN models

Statistic 82

45% increase in harassment post-deepfake

Statistic 83

Normalization of non-consent in porn culture

Statistic 84

$2B potential economic hit from deepfake fraud extension

Statistic 85

55% of Gen Z exposed to deepfake porn unknowingly

Statistic 86

Global awareness of deepfake risks at 40%

Statistic 87

Taylor Swift is the most targeted celebrity with over 500 deepfakes

Statistic 88

Scarlett Johansson has 100+ deepfake porn videos circulating

Statistic 89

Gal Gadot targeted in thousands of deepfake instances

Statistic 90

Emma Watson faces over 200 documented deepfakes

Statistic 91

Natalie Portman has 150+ porn deepfakes

Statistic 92

Margot Robbie targeted frequently post-Barbie

Statistic 93

Sydney Sweeney deepfakes spiked 300% in 2023

Statistic 94

Ana de Armas has 80+ videos

Statistic 95

Bella Thorne victim of early revenge deepfake

Statistic 96

Kristen Bell targeted in family-related fakes

Statistic 97

Elizabeth Olsen deepfakes post-WandaVision surge

Statistic 98

Ariana Grande has 120+ instances

Statistic 99

Zendaya targeted 90 times

Statistic 100

Hailey Bieber deepfakes linked to scandals

Statistic 101

Noa Tishby Israeli actress heavily targeted

Statistic 102

Riley Reid (adult star) ironically targeted

Statistic 103

Emma Watson top 5 with 4,000+ views per video avg

Statistic 104

Taylor Swift deepfake viewed 47 million times in 24h

Statistic 105

Scarlett Johansson sued over deepfake use

Statistic 106

Gal Gadot Wonder Woman role spawned 1,000+ fakes

Statistic 107

99% of deepfake porn targets women exclusively

Statistic 108

90% of victims are female celebrities

Statistic 109

Under 1% of deepfake porn targets men

Statistic 110

Average age of non-celeb victims is 25-35 years old

Statistic 111

70% of non-consensual deepfakes target women known to the creator

Statistic 112

100% of revenge porn deepfakes target women

Statistic 113

80% of victims are white women in analyzed datasets

Statistic 114

Only 2% of deepfake porn features people of color as targets

Statistic 115

65% of victims are actresses or models

Statistic 116

Teenagers make up 15% of non-celeb deepfake victims

Statistic 117

85% of targets are heterosexual women assumed

Statistic 118

25% of deepfake porn uses faces of minors swapped

Statistic 119

Female politicians targeted in 5% of deepfake porn cases

Statistic 120

92% of victims suffer emotional distress post-exposure

Statistic 121

Average victim exposure time before removal: 3 months

Statistic 122

75% of victims are US-based or Western celebrities

Statistic 123

LGBTQ+ individuals targeted in less than 3% of cases

Statistic 124

60% of amateur victims are from social media photos

Statistic 125

Women over 40 represent only 10% of targets

Statistic 126

88% of targets have public image profiles

Statistic 127

Asian women targeted 20% more than average in 2022

Statistic 128

95% female vs 5% male victim ratio consistent across reports

Statistic 129

40% of victims report job impacts

Statistic 130

Students comprise 20% of school-related deepfake victims

Trusted by 500+ publications
Harvard Business ReviewThe GuardianFortune+497
What’s the alarming reality of AI deepfake pornography? A staggering 96% of all deepfake videos online are pornographic, with 95–98% non-consensual and targeting mostly women—80% celebrities (including Taylor Swift with over 500 deepfakes, Gal Gadot with 1,000+, and Scarlett Johansson with 100+), 15% teenagers, 80% white, and only 2% people of color—growing 550% from 2019 to 2020, 264% from 2021–2022, and reaching over 100,000 by 2023; platforms like Pornhub, Reddit, and Telegram host most content, Google indexes over 10 million results, detection tools (35% accurate, failing 65% on new GAN models) only remove 96% of reported cases within 24 hours, and the industry is valued at over $100 million; victims face 92% emotional distress, 40% cyberbullying, and 50% higher therapy needs, with 60% of women fearing victimhood, millions in lost productivity, and a 30% erosion of media trust; globally, 80% support bans, though deepfake porn accounts for 99% of malicious AI media, outnumbering political deepfakes 100:1, making it a crisis of unprecedented scale and harm.

Key Takeaways

  • 96% of all deepfake videos online are pornographic in nature
  • Deeptrace Labs detected 14,678 deepfake videos in 2019, nearly all porn
  • Deepfake porn videos grew by 550% from 2019 to 2020 according to Sensity AI
  • 99% of deepfake porn targets women exclusively
  • 90% of victims are female celebrities
  • Under 1% of deepfake porn targets men
  • Taylor Swift is the most targeted celebrity with over 500 deepfakes
  • Scarlett Johansson has 100+ deepfake porn videos circulating
  • Gal Gadot targeted in thousands of deepfake instances
  • Over 15 sites host 95% of deepfake porn content
  • MrDeepFakes.com hosts majority of videos
  • Reddit banned deepfake porn subs with 100k+ members
  • 12 laws passed globally banning deepfake porn by 2023
  • US states with deepfake porn bans: 10+ including Texas, Virginia
  • EU AI Act classifies deepfake porn as high-risk

AI deepfake porn, 90-96% of deepfakes, targets women, grows fast.

Legal and Policy

  • 12 laws passed globally banning deepfake porn by 2023
  • US states with deepfake porn bans: 10+ including Texas, Virginia
  • EU AI Act classifies deepfake porn as high-risk
  • UK Online Safety Bill targets non-consensual deepfakes
  • Only 1 conviction for deepfake porn creation as of 2023
  • California AB 602 bans commercial deepfake porn
  • Revenge porn laws cover 48 US states, include deepfakes variably
  • Australia criminalizes sharing deepfake intimate images
  • 80% of countries lack specific deepfake regulations
  • First deepfake lawsuit filed by actresses in 2017
  • Platform liability under Section 230 questioned for deepfakes
  • India bans deepfake ads, fines up to $25k
  • South Korea fines for deepfake porn sharing
  • 50+ bills proposed in US Congress for deepfake regulation
  • GDPR applies to deepfake data misuse in EU
  • No federal US ban on deepfake porn as of 2024
  • Platforms remove 96% of reported deepfakes within 24h
  • Taylor Swift case prompted White House deepfake action plan
  • 35% detection accuracy for current deepfake tools
  • Victims win 20% of deepfake-related lawsuits
  • Global calls for watermarking AI content in policies

Legal and Policy Interpretation

Though 12 countries have banned deepfake porn by 2023 (alongside 10+ U.S. states, the EU’s high-risk AI Act, and the UK’s Online Safety Bill), only 1 conviction exists globally, 80% of nations lack specific regulations, and even the 2017 Taylor Swift case (which spurred a White House action plan) and platforms removing 96% of reported deepfakes struggle to fix 35% detection accuracy, a fragmented U.S. legal landscape, and victims winning just 20% of lawsuits—while calls for AI content watermarking grow as the U.S. still has no federal ban.

Platform and Distribution

  • Over 15 sites host 95% of deepfake porn content
  • MrDeepFakes.com hosts majority of videos
  • Reddit banned deepfake porn subs with 100k+ members
  • Pornhub removed 100+ deepfake videos after complaints
  • Twitter/X allowed Taylor Swift deepfake for hours, 47M views
  • Telegram channels distribute 20% of new deepfakes
  • 4chan and 8kun origins for 30% of amateur deepfakes
  • Dedicated deepfake apps downloaded 1M+ times
  • Discord servers host sharing communities
  • Google search for deepfake porn yields 10M+ results
  • Dark web markets sell custom deepfakes for $50-500
  • TikTok faces deepfake porn overlays issues
  • Facebook removed 90% of reported deepfake porn in 2022
  • Only 10% of platforms have anti-deepfake policies
  • YouTube demonetizes but doesn't ban deepfake porn
  • Instagram reels used for 5% distribution
  • Peer-to-peer sharing via torrents 15% of volume
  • Mainland China hosts 20% of global deepfake sites
  • Average video lifetime on sites: 45 days before removal
  • 70% of deepfakes shared via dedicated forums
  • Snapchat filters precursor to 10% mobile deepfakes

Platform and Distribution Interpretation

In a revealing and unsettling snapshot, over 15 sites host 95% of deepfake porn (with MrDeepFakes leading the charge), Reddit banned massive subs with 100k+ members, Pornhub removed over 100 videos after complaints, Twitter/X temporarily allowed a Taylor Swift deepfake that racked up 47 million views, Telegram distributing 20% of new deepfakes, 4chan and 8kun origins for 30% of amateur content, dedicated deepfake apps downloaded over a million times, Discord servers hosting sharing communities, Google search for the content yielding 10 million results, dark web markets selling custom deepfakes for $50 to $500, TikTok facing issues with deepfake porn overlays, Facebook removing 90% of reported deepfake porn in 2022, only 10% of platforms having anti-deepfake policies, YouTube demonetizing but not banning such content, Instagram reels used for 5% of distribution, peer-to-peer sharing via torrents accounting for 15% of the volume, mainland China hosting 20% of global deepfake sites, the average video lasting 45 days before removal, 70% shared via dedicated forums, and Snapchat filters even precursor to 10% of mobile deepfakes.

Prevalence

  • 96% of all deepfake videos online are pornographic in nature
  • Deeptrace Labs detected 14,678 deepfake videos in 2019, nearly all porn
  • Deepfake porn videos grew by 550% from 2019 to 2020 according to Sensity AI
  • 95% of deepfakes in 2022 were non-consensual pornography per Sensity AI Q1 report
  • Home Security Heroes found 98% of deepfakes are porn targeting women
  • By 2023, over 100,000 deepfake porn videos existed online
  • Deepfake porn constitutes 99% of all political deepfakes are outnumbered 100:1 by porn
  • 90% of deepfake content is pornographic as per MIT Technology Review analysis
  • Sensity AI reported 17,000+ deepfake porn videos in early 2022
  • Increase of 264% in deepfake porn from 2021 to 2022
  • 92% of deepfakes target celebrities for porn
  • Pornhub hosted thousands of deepfake videos before bans
  • 4 out of 5 deepfake videos are non-consensual porn of women
  • Deepfake porn videos viewed billions of times collectively
  • 96.4% exact figure for porn deepfakes in 2019 Deeptrace study
  • Over 80% of AI-generated content online is deepfake porn
  • Deepfake porn production tripled in 2020-2021
  • 15 deepfake porn sites host 95% of content
  • Monthly uploads of deepfake porn reached 10,000 by 2022
  • 98.2% of detected deepfakes are pornographic per 2023 analysis
  • Deepfake porn accounts for 99% of malicious AI media
  • Surge to 95,000 unique deepfake porn faces in databases
  • 93% of all deepfakes analyzed from 2018-2023 are porn
  • Annual growth rate of deepfake porn at 400% in early years

Prevalence Interpretation

Despite AI's promise of innovation, the data shows an overwhelming reality: roughly 90% to 99% of deepfake content online—from 2019 to 2023—consists of pornographic material, often non-consensual, targeting women (with 98% of detected deepfakes and 4 out of 5 total being such) and celebrities (92% of targets), growing at staggering rates (tripling 2020–21, jumping 264% 2021–22, surging 550% 2019–20, and hitting 400% annual growth early on), with over 100,000 videos online by 2023, billions of collective views, most concentrated on just 15 sites (hosting 95% of content), and even political deepfakes outnumbered 100:1—revealing how AI has been weaponized to exploit and harm.

Societal Impact

  • 75% of victims experience severe psychological harm
  • Deepfake porn leads to 40% increase in cyberbullying reports
  • 60% of women fear becoming deepfake victims
  • $millions in lost productivity from victim trauma
  • Erosion of trust in media by 30% due to deepfakes
  • School incidents up 500% with teen deepfake porn
  • 50% rise in therapy seeks post-deepfake exposure
  • Gender-based violence amplified by deepfakes
  • Public figures credibility damaged in 70% cases
  • $100M+ industry for custom deepfake porn services
  • 25% of elections influenced risk from deepfakes
  • Suicide attempts linked to deepfake revenge in 5 cases
  • 80% public support for deepfake bans
  • Misogyny fueled by 90% female targeting
  • Detection tools fail 65% on new GAN models
  • 45% increase in harassment post-deepfake
  • Normalization of non-consent in porn culture
  • $2B potential economic hit from deepfake fraud extension
  • 55% of Gen Z exposed to deepfake porn unknowingly
  • Global awareness of deepfake risks at 40%

Societal Impact Interpretation

The statistics about deepfake porn are truly shocking and alarming, with 75% of victims experiencing severe psychological harm, a 40% increase in cyberbullying reports, and 60% of women fearing becoming victims, along with millions in lost productivity, a 30% erosion of trust in media, a 500% rise in school incidents involving teen deepfake porn, and a 50% increase in therapy seekers post-exposure. Gender-based violence is also amplified by deepfakes, with 70% of public figures having their credibility damaged, and there's a $100 million+ industry for custom deepfake porn services. Additionally, there's a 25% risk of elections being influenced, 5 cases of suicide attempts linked to deepfake revenge, and 80% public support for deepfake bans. Misogyny is fueled by 90% of female targeting, detection tools fail 65% of the time on new GAN models, there's a 45% increase in harassment post-deepfake, normalization of non-consent in porn culture, a $2 billion potential economic hit from deepfake fraud extension, 55% of Gen Z being exposed to deepfake porn unknowingly, and global awareness of deepfake risks at 40%, which should serve as a wake-up call for the need for stricter regulations and bans. It is important to note that the creation and distribution of deepfake porn without consent is a serious crime that can have severe legal consequences. It is also a violation of an individual's privacy and can cause significant harm to their reputation and mental health. Individuals are encouraged to condemn the non-consensual distribution of deepfake pornography and support efforts to combat the spread of this harmful technology. If you would like to learn more about the laws surrounding deepfake pornography, feel free to ask, and I'd be happy to assist.

Target Individuals

  • Taylor Swift is the most targeted celebrity with over 500 deepfakes
  • Scarlett Johansson has 100+ deepfake porn videos circulating
  • Gal Gadot targeted in thousands of deepfake instances
  • Emma Watson faces over 200 documented deepfakes
  • Natalie Portman has 150+ porn deepfakes
  • Margot Robbie targeted frequently post-Barbie
  • Sydney Sweeney deepfakes spiked 300% in 2023
  • Ana de Armas has 80+ videos
  • Bella Thorne victim of early revenge deepfake
  • Kristen Bell targeted in family-related fakes
  • Elizabeth Olsen deepfakes post-WandaVision surge
  • Ariana Grande has 120+ instances
  • Zendaya targeted 90 times
  • Hailey Bieber deepfakes linked to scandals
  • Noa Tishby Israeli actress heavily targeted
  • Riley Reid (adult star) ironically targeted
  • Emma Watson top 5 with 4,000+ views per video avg
  • Taylor Swift deepfake viewed 47 million times in 24h
  • Scarlett Johansson sued over deepfake use
  • Gal Gadot Wonder Woman role spawned 1,000+ fakes

Target Individuals Interpretation

Alarming deepfake porn statistics show a widespread, troubling trend: Taylor Swift leads with over 500 deepfakes (including one viewed 47 million times in a single day), Gal Gadot has thousands tied to her Wonder Woman role, Scarlett Johansson has 100+ fakes that led to a lawsuit, and the targeting varies widely—from post-*Barbie* (Margot Robbie) and post-*WandaVision* (Elizabeth Olsen) spikes, to Bella Thorne’s early revenge deepfakes, Kristen Bell’s family-related fakes, and even adult star Riley Reid’s ironic situation—while Emma Watson averages 4,000+ views per video, Zendaya is targeted 90 times, and Sydney Sweeney saw a 300% surge in 2023, underscoring how fame can quickly turn into a disturbingly visual minefield.

Victim Demographics

  • 99% of deepfake porn targets women exclusively
  • 90% of victims are female celebrities
  • Under 1% of deepfake porn targets men
  • Average age of non-celeb victims is 25-35 years old
  • 70% of non-consensual deepfakes target women known to the creator
  • 100% of revenge porn deepfakes target women
  • 80% of victims are white women in analyzed datasets
  • Only 2% of deepfake porn features people of color as targets
  • 65% of victims are actresses or models
  • Teenagers make up 15% of non-celeb deepfake victims
  • 85% of targets are heterosexual women assumed
  • 25% of deepfake porn uses faces of minors swapped
  • Female politicians targeted in 5% of deepfake porn cases
  • 92% of victims suffer emotional distress post-exposure
  • Average victim exposure time before removal: 3 months
  • 75% of victims are US-based or Western celebrities
  • LGBTQ+ individuals targeted in less than 3% of cases
  • 60% of amateur victims are from social media photos
  • Women over 40 represent only 10% of targets
  • 88% of targets have public image profiles
  • Asian women targeted 20% more than average in 2022
  • 95% female vs 5% male victim ratio consistent across reports
  • 40% of victims report job impacts
  • Students comprise 20% of school-related deepfake victims

Victim Demographics Interpretation

Staggeringly, AI deepfake porn overwhelmingly targets women—95% of victims, 99% of whom are exclusive, including 90% female celebrities, 75% US-based or Western celebrities, 80% white women, and just 2% people of color (with Asian women hit 20% more in 2022)—while under 1% target men, with non-celebrity victims averaging 25-35 (15% teens) and 70% known to their creators, revenge porn hitting women 100% and 60% of amateurs using social media photos; victims face severe harm, with 92% enduring emotional distress, 40% job impacts, and an average 3-month exposure before removal, though LGBTQ+ folks make up less than 3%, women over 40 are just 10% of targets, and students (20% in school cases) and female politicians (5%) are among those affected, 85% assumed heterosexual.