Deepfake statistics and trends 2026: AI fraud insights
Deepfakes have left the novelty stage. Fake faces, cloned voices, forged selfies, and synthetic documents are now being used to open bank accounts, bypass identity checks, pressure finance teams, and target people whose personal data has already leaked.
Deepfake statistics and trends: Overall growth
Deepfake technology has become cheaper, faster, and less dependent on specialist skills. A criminal no longer needs a studio setup or weeks of training data. A short voice sample, leaked identity record, public profile photo, or stolen document scan can be enough to start building synthetic media.
Deepfake statistics and trends: Overall growth
Deepfake technology has become cheaper, faster, and less dependent on specialist skills. A criminal no longer needs a studio setup or weeks of training data. A short voice sample, leaked identity record, public profile photo, or stolen document scan can be enough to start building synthetic media.
7x
The deepfake AI market is projected to grow from $1.14B to $8.11B within five years (2025-2030).
10x
The number of detected deepfakes worldwide increased tenfold in a single year.
7.6x
Average monthly deepfake-related posts on dark-web forums and Telegram rose from 40 to 307 in two and a half years.
How fast are deepfakes growing?
Deepfake scams are surging. Government figures estimate that 8 million deepfakes were shared in 2025, up from 500,000 in 2023 — a 16x increase in two years.
The trend is expected to continue. A 2025 European Parliament briefing says the number of deepfakes has doubled every six months and cites Europol’s estimate that 90% of online content could be synthetically generated by 2026.
Fraud is growing with it. Detected deepfake fraud increased 10x globally from 2022 to 2023, with rises of 1,740% in North America, 1,530% in Asia-Pacific, 780% in Europe, and 410% in Latin America.
Deepfake statistics: Financial impact
AI-enabled fraud losses are growing — and the bill could get much bigger.
$12.3B
Estimated US fraud losses enabled by generative AI in 2023.
$40B
Projected US fraud losses by 2027.
32% CAGR
Projected annual growth in AI-enabled fraud losses.
$20B+
Total cybercrime losses reported to IC3 in 2025.
$893.3M
Losses linked to AI-related complaints in 2025.
Deepfake statistics: Identity verification and biometric fraud
A recent identity fraud report found that deepfakes now account for one in five biometric fraud attempts. The same report found that deepfaked selfie attempts increased 58% in one year, and injection attacks surged 40% year over year.
Deepfake phishing statistics: Victim targeting and voice cloning
Deepfake audio makes AI phishing and vishing more convincing because the message no longer has to rely on text alone. A cloned voice can add pressure, familiarity, and urgency.
Speech deepfake research found that human listeners correctly spotted deepfake audio only 73% of the time, with examples provided before testing improving results only slightly.
Another study found that 43% of surveyed cybersecurity leaders reported at least one deepfake audio-call incident, while 37% experienced deepfakes in video calls.
The deepfake robocall impersonating President Joe Biden during the 2024 New Hampshire primary showed how voice cloning can be used outside ordinary fraud as well.
Deepfake statistics: Non-consensual intimate imagery (NCII)
Recent data gives a clearer sense of the scale of the problem.
Adults targeted by non-consensual image sharing
1 in 8 adult social media users have been targeted by nonconsensual distribution of intimate images.
Adults sharing intimate images without consent
1 in 20 adult social media users have perpetrated nonconsensual distribution of intimate images.
Internet users affected in the US
4% of US internet users — roughly 1 in 25 Americans on the internet — have had sensitive images posted without permission or have been threatened with posting.
Increase in generative AI reports
NCMEC saw a 1,325% increase in CyberTipline reports involving generative AI technology in 2024.
Financial sextortion volume
NCMEC reported nearly 100 financial sextortion reports per day in 2024.
Financial sextortion reports
NCMEC received 26,718 financial sextortion reports in 2023, up from 10,731 in 2022.
Deepfake facts: Regional and document trends
Coveron’s 2026 research shows the identity threat behind deepfake fraud: Email addresses appeared in 89.8% of analyzed leaked databases, phone numbers in 68.2%, physical addresses in 62.3%, credentials in 32.0%, government IDs in 12.3%, and financial data in 2.2%.
Global leaked databases
Email addresses: 89.8%
Phone numbers: 68.2%
Physical addresses: 62.3%
Credentials: 32.0%
Government IDs: 12.3%
Financial data: 2.2%
Deepfake attack vectors and threat actor tactics
Deepfake attacks follow an assembly line.
Raw data
Leaked and breached databases provide names, dates of birth, addresses, phone numbers, SSNs, credentials, medical details, identity documents, and account traces.
Weaponization
The criminal adds synthetic media: an AI-generated face, deepfake selfie, cloned voice, forged document, device fingerprint, fake pay stub, or utility bill.
Fraud execution
The identity package is used to open bank accounts, pass KYC, reset passwords, apply for loans, access crypto exchanges, file tax returns, claim benefits, or drain accounts.
The low price of your identity
Identity data is cheap because supply is high. Deepfake enhancement is cheap because tools are now accessible. Fraud becomes scalable when both are true.
Coveron research found advertised pricing across dark web forums and Telegram marketplaces, including:
-
KYC photo bypass
Instant Telegram bot delivery.
$10 – $50
-
Deepfake selfie with documents
Forum vendors, delivered in 24–48 hours.
$50 – $200
-
Custom voice clone
Three-second sample, multiple languages.
$50 – $300
-
Real-time face swap
Specialized vendors, live video call bypass.
$100 – $500
Complete packages bundled for end-to-end fraud
-
Synthetic identity, United States
Full personal details, face, and supporting documents. Opens bank accounts.
$200 – $1,000+
-
Digital ghost package
Identity aged 6-24 months. Verified accounts, matched device fingerprint.
$500 – $2,000+
Industry-level deepfake statistics
Here’s how deepfake-related fraud is affecting key sectors and business functions.
Financial services
Deepfake fraud attempts increased 2,137% over three years.
Identity verification
Deepfakes account for 1 in 5 biometric fraud attempts; fake selfies rose by 58%, and injection attacks rose by 40%.
Corporate operations
62% of organizations experienced a deepfake attack involving social engineering or process exploitation.
Business communications
43% reported deepfake audio-call incidents and 37% reported video-call incidents.
Wider US fraud environment
Generative AI–enabled fraud losses could rise from $12.3B to $40B by 2027.
Key findings
Deepfake fraud does not replace data breaches. It feeds on them. Stolen documents, SSNs, phone numbers, addresses, and credentials become more dangerous when paired with synthetic media.
Current laws and possible future regulations
Regulation is catching up, but unevenly.
Deepfake transparency requirements
In the EU, AI Act transparency obligations for deepfakes and AI-generated or AI-manipulated content apply from August 2, 2026. The European Commission states that deepfakes and AI-generated or AI-manipulated text published on matters of public interest must be clearly labeled in key cases.
The rules differ by jurisdiction, content type, and platform responsibility.
How to avoid becoming part of a deepfake fraud statistic?
Treat voice, face, and urgency as evidence to verify, not evidence to trust.
Turn on multi-factor authentication for email, banking, cloud storage, and social accounts.
Use unique passwords.
Monitor breached credentials.
Lock down exposed personal profiles where possible.
Avoid unnecessary public uploads of long voice and video clips.
Methodology of the research
Statistics and examples were selected from primary-source materials: official government publications, regulator guidance, vendor reports based on their own datasets, academic studies, and internal Coveron research findings.
Internal Coveron findings cover dark web and Telegram monitoring, leaked database analysis, observed fraud-service pricing, and identity-document prevalence in analyzed databases from 2024 to 2026. Publication requires a direct internal source URL, methodology note, or downloadable research appendix.
Stay safe with Coveron
Deepfake statistics point to the same conclusion — identity data is no longer passive. A leaked phone number, ID scan, selfie, password, or SSN can be recombined into a convincing fraud identity theft or identity cloning attempt.
Coveron is an identity theft protection service that helps reduce exposure and supports response when identity data is at risk.
Dark web monitoring
Coveron continuously scans monitored sources for exposed personal data, including email addresses, phone numbers, SSNs, and payment card details. If your information is found, you receive an alert explaining what was exposed and what to do next.
Identity theft recovery
If identity theft occurs, eligible plans provide professional recovery support and reimbursement for covered expenses. Coverage can include up to $2 million for costs such as document replacement, legal fees, lost wages, and other eligible recovery expenses.
Scam protection
Coveron helps detect signs of online fraud through dark web monitoring and malware breach alerts. Eligible plans can also provide up to $10,000 in reimbursement for covered online fraud losses.
Cyber insurance
Eligible Coveron plans include financial protection for several types of cyber incidents. Benefits can include up to $10,000 for covered cyberattack losses, up to $50,000 for cyber extortion, and up to $2 million for eligible identity theft recovery expenses.
Deepfake attacks are becoming more realistic. Defense still starts with old-fashioned discipline: monitor the data, protect the accounts, verify the request, and move fast when something goes wrong.
FAQ
How accurate are humans vs. AI at detecting deepfakes?
What deepfake trends are shaping the future of phishing attacks?
How do deepfakes bypass IDV/KYC liveness checks?
What do I do if I fall victim to deepfake fraud?
How many people are fooled by deepfakes?
Sources
- 1.
Mordor Intelligence — Deepfake AI market size estimate: $1.14B in 2025, projected to reach $8.11B by 2030, with a 48.06% CAGR.
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Sumsub — Detected deepfake incidents rose 10x globally from 2022 to 2023; regional increases included 1,740% in North America, 1,530% in APAC, 780% in Europe, 450% in MEA, and 410% in Latin America.
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Signicat — Financial institutions faced a 2,137% increase in deepfake fraud attempts over three years.
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