VerifyNow Trust LabGlobal iGaming research

iGamingIndustryReport2026

Global sports-betting growth, World Cup demand, fraud and the South African market.

5.9×
SA sports-betting gross gambling revenue · five-year multiple
R47.892bn
SA sports-betting gross gambling revenue · FY24/25
104
FIFA World Cup 2026 matches
+76%
Gaming and gambling attack-rate growth · vendor network
Prepared by
VerifyNow Research Team
Evidence cut-off: 30 July 2026
01 / 2026
First edition

Table of Contents

Global growth, World Cup demand, South African betting, fraud patterns and practical defence.

01

What the Report Found

Online betting grew quickly as major events brought more players and more fraud pressure

About the research. Sources published by 30 July 2026 were reviewed. South African market figures come from audited NGB statistics. Industry figures identify the survey or transaction network behind them.

Across the NGB's five-year series, South African bookmaker sports-betting gross gambling revenue rose from R8.178 billion in FY2020/21 to R47.892 billion in FY2024/25. The latest figure is 5.9 times the starting value. In the six provinces covered by the NGB's latest online measure, online betting supplied R44.458 billion. (National Gambling Board, October 2025)

The 2026 FIFA World Cup widened the digital audience across 104 matches and drew 6.81 million spectators, according to FIFA. After the opening match, Cloudflare observed an overall rise in requests to gambling sites, and an operator-data study placed average US group-stage bettors at 119% of its pre-tournament baseline. (FIFA, 20 July 2026) (Cloudflare Radar, 21 July 2026) (Optimove Insights, 15 July 2026)

That rise in digital activity gives fraud teams more account events to screen at the same time. A 2025 global operator survey placed deposits ahead of onboarding and withdrawals as the main stage cited for fraud, and a separate transaction network measured a 76% annual rise in the global gaming and gambling attack rate. (Sumsub, 2025) (LexisNexis Risk Solutions, 26 March 2026)

The South African figures cover licensed bookmaker activity reported by the NGB. Licensed bookmakers may accept online sports and horse-racing bets within the scope of their provincial licences. General online casino gambling falls outside that category. (National Gambling Board, Accessed 30 July 2026)

SA sports betting
R47.892bn

Gross gambling revenue · FY2024/25

Five-year multiple
5.9×

FY2020/21 to FY2024/25

World Cup scale
104

Matches · 48 teams · 2026

Attack-rate growth
+76%

Gaming and gambling · 2025 vendor network

How to read the figures: South African public records provide market revenue. A national series of confirmed online-betting fraud losses has yet to be published, so the report presents market growth and fraud studies as separate findings.
02

A Larger Market Meets the World Cup

Global betting grew as the 2026 tournament brought a fresh wave of digital activity

The word iGaming covers different products from one country to another. US figures in this report cover state-regulated sports betting and internet casino gaming. The European estimate covers the wider gambling market across the EU-27 and United Kingdom, while South African figures use the categories published by the NGB.

US commercial sports-betting gross gambling revenue reached $16.89 billion in 2025, up 22.6% from 2024, with the published total excluding tribal sportsbook revenue and Florida mobile betting. EGBA and H2 Gambling Capital estimated European gambling gross gambling revenue at €123.4 billion in 2024, up 5%. (American Gaming Association, 12 May 2026) (European Gaming and Betting Association and H2 Gambling Capital, 25 March 2025)

World Cup 2026 brought a larger, more casual audience

The first 48-team FIFA World Cup comprised 104 matches across 39 days. FIFA reported final attendance of 6,810,966 and expected worldwide engagement to exceed six billion once its final figures were complete. Those figures describe tournament reach. (FIFA, 20 July 2026)

Cloudflare compared tournament traffic with the median from the preceding four weeks. Requests to gambling-industry websites rose overall after the opening game, then settled into a steadier pattern during the near-daily schedule. (Cloudflare Radar, 21 July 2026)

Optimove's group-stage analysis placed average US bettors at 119% of the pre-tournament baseline and first-time depositors at 174%. Bets per player moved to 94% of baseline. Average wager per bettor declined from $266 to $239. The study's wider benchmark averages 3.2 million active US players and 21 million globally each month. (Optimove Insights, 15 July 2026)

FIFA's Integrity Task Force reported zero identified suspicious betting activity or match-manipulation indications across the 104 matches. That figure comes from competition integrity monitoring. The identity, payment and account fraud findings elsewhere in this report come from operator surveys and transaction networks. (FIFA Integrity Task Force, 21 July 2026)

Across the wider sports-betting environment, IBIA reported 300 suspicious betting alerts during 2025. Football accounted for 110. Its Africa review recorded 117 alerts on African sporting events from 2021 through 2025. The organisation said wider monitoring coverage contributed to the annual change. (International Betting Integrity Association, 3 February 2026)

03

What the South African Figures Include

The local digital market in this report covers licensed online bookmakers

In this report, the South African online market means betting reported by the NGB through licensed bookmakers. Those bookmakers may accept sports and horse-racing bets online within their approved licence scope. General online casino gambling falls outside the licensed betting category. (National Gambling Board, Accessed 30 July 2026)

Global sections use iGaming as the wider industry term and include fraud methods seen across betting and online casino products.

Licensed online betting

Lawful within licence

South African bookmakers licensed for online betting, subject to provincial gambling rules and their licence conditions.

Licensed casino operations

Lawful within licence

Land-based casino gambling included in the NGB’s audited market statistics.

General online casino

Prohibited in South Africa

The global fraud analysis includes online casino methods. South African market figures remain confined to licensed local categories.

VerifyNow's identity checks support fraud controls within the operator's existing licence and product scope.
04

How Fast South African Betting Grew

Bookmaker sports-betting revenue reached 5.9 times its FY2020/21 level

What gross gambling revenue means. The NGB calculates it by subtracting player winnings from the stakes an operator receives. The figure comes before business costs and taxes. It differs from turnover, profit and fraud loss. (South African Reserve Bank, 2 April 2026)

Bookmaker sports-betting gross gambling revenue rose from R8.178 billion in FY2020/21 to R47.892 billion in FY2024/25. The increase was 485.6%, bringing the latest figure to 5.9 times the starting value. (National Gambling Board, October 2025)

Bookmaker sports-betting gross gambling revenue

Gross gambling revenue in R billions · South Africa · FY2020/21 to FY2024/25 · source: National Gambling Board

The NGB's wider betting category includes bookmakers and totalisators across sports, horse racing and other events. It reached R51.975 billion in FY2024/25. Casino gross gambling revenue came to R16.646 billion. Across the six provinces in the latest online figure, online betting supplied R44.458 billion, or 85.5% of reported betting revenue. (National Gambling Board, October 2025)

South African total betting and casino revenue

Gross gambling revenue in R billions · FY2020/21 to FY2024/25 · National Gambling Board

The NGB gives five years of total betting data. It published online figures for the latest two years, and the group of provinces changed.
YearTotal bettingCasinosPublished online figureOnline share of betting
FY20/21R10.610bnR9.107bnNot publishedNot published
FY21/22R15.468bnR13.754bnNot publishedNot published
FY22/23R23.748bnR17.342bnNot publishedNot published
FY23/24R35.909bnR17.356bnR28.970bn80.7%
FY24/25R51.975bnR16.646bnR44.458bn85.5%
The five-year growth figure comes from the same NGB sports-betting series throughout. The online figure covered five named provinces in FY2023/24, then added Eastern Cape in FY2024/25. That change in coverage prevents a national online growth-rate calculation from the two values.

What the local revenue chart covers

South African law prohibits general online casino gambling. The NGB figures here cover licensed online bookmakers, so the local revenue chart shows betting revenue. Online-casino evidence appears in the global fraud analysis. (National Gambling Board, Accessed 30 July 2026)

About this section: Every South African revenue figure comes from a category published by the NGB. The wider fraud analysis draws on betting and online-casino evidence from named international studies.
05

What Fraud Costs

Losses reach transactions, promotions, investigations and customer trust

South African public data has yet to provide a complete series of online-betting fraud losses, which leaves each operator to measure confirmed losses, recoveries, chargebacks, bonus write-offs, review time and customer cases from its own records.

Transaction loss

Stolen cards, account takeover, disputed deposits, refund abuse and withdrawals to controlled accounts can create direct loss and chargeback cost.

Promotion leakage

Multi-accounting, fabricated referrals and coordinated bonus abuse waste acquisition spend and distort campaign results.

Governance cost

Weak identity controls, monitoring and case records leave an operator with poor evidence when a fraud event reaches management, a customer dispute or a formal review.

Operating cost

False positives, manual reviews, source-of-funds enquiries, complaints and investigation time increase the cost of serving legitimate players.

Customer harm

Account takeover, identity theft and fraudulent use of payment instruments can lock customers out and expose personal or financial information.

Market integrity

Money-mule activity, match manipulation, illegal platforms and opaque payment flows weaken confidence in the licensed market.

The cost appears in chargebacks, confirmed fraud, recoveries, bonus write-offs, investigation time, blocked withdrawals and customer cases.
06

Where Fraud Enters the Account

Operators reported the greatest pressure around deposits

In Sumsub's 2025 operator survey, 41.9% of respondents named deposits as the main stage for fraud, followed by onboarding at 23.8%, withdrawals at 22.9% and in-game activity at 11.4%. Each percentage shows the stage a respondent chose as its main fraud problem. (Sumsub, 2025)

Stage most often cited for fraud

Percentage of surveyed operators · global iGaming survey · 2025

Deposit
41.9%
Onboarding
23.8%
Withdrawal
22.9%
In-game activity
11.4%
StageCommon abuseControl question
OnboardingStolen, synthetic or repeated identity; underage account; mule recruitmentCan the operator establish a real person, a genuine document and a consistent device before activation?
LoginCredential stuffing, SIM compromise, session theft and social engineeringDoes authentication combine password validity with device, network and behavioural risk?
DepositStolen cards, payment-owner mismatch, rapid card testing and third-party fundingDoes the named player match the funding instrument and historical account behaviour?
PlayBonus rings, collusion, robotic wagering, match manipulation and low-risk value transferCan monitoring connect accounts, devices, bets, timing and counterparties?
WithdrawalCash-out to a new beneficiary, minimal play, source-of-funds mismatch and account takeoverDoes risk step up before payout, and can the operator explain the source and destination of funds?
07

How the Main Fraud Schemes Work

Identity, payment and account behaviour meet inside the same player journey

Operators in the survey reported identity fraud, money laundering and bonus abuse at similar rates. An account opened with a stolen identity can receive third-party funds, claim promotions and withdraw money to an account controlled by a mule. (Sumsub, 2025)

Threats cited by iGaming operators

Percentage of surveyed operators selecting each threat · multiple responses allowed · 2025

64.8%
Identity fraud
64.8%
Money laundering
63.8%
Bonus abuse
31.4%
Payment fraud
23.8%
Account takeover

Stolen or synthetic identity

Identity attributes, documents and biometrics are stolen, altered or assembled to create an account that passes weak onboarding checks.

Signals: Repeated identity elements; document-device mismatch; reused face or contact detail; inconsistent age, address or payment ownership.

Multi-accounting and bonus abuse

One person or coordinated group controls multiple nominal players to claim promotions, referrals or favourable odds.

Signals: Shared device, IP, bank account, card, address or wagering pattern; rapid creation around a campaign; circular referrals.

Account takeover

A legitimate account is compromised after onboarding, allowing the attacker to change details, deposit, wager or withdraw.

Signals: New device and beneficiary; failed-login spike; password or phone reset followed by payout; unusual session velocity.

Payment and withdrawal fraud

Funding comes from a stolen, third-party or mule-controlled instrument, or payout is redirected to a different beneficiary.

Signals: Cardholder-player mismatch; many cards on one account; many accounts on one card; deposit then low-risk or minimal play before withdrawal.

Money laundering through wagering

The account places, layers or withdraws criminal proceeds and creates an apparent gambling explanation.

Signals: Source-of-funds inconsistency; coordinated opposing bets; rapid in-and-out movement; behaviour inconsistent with the customer profile.

Illegal or cloned platform

An unlicensed or impersonated betting product collects deposits, identity documents or credentials outside the legal market.

Signals: Missing or unverifiable licence; copied branding; payment to unrelated beneficiaries; sideloaded application; pressure to use unusual payment methods.
08

AI, Bots and Synthetic Identities

Synthetic volume can overwhelm a fraud team through the queue itself

Operational pressure

Synthetic fraud can turn the review queue into an attack surface

Automated sign-ups, repeated evidence, AI-generated documents and malicious bots can pile into the same review queue until the work begins to resemble a DDoS attack made from AI slop. The volume consumes screening capacity, slows decisions for legitimate players and makes serious cases harder to find. The studies below measure different parts of that pressure. The practical defence section follows the operator's response from registration through payout. (Sumsub, 2025) (LexisNexis Risk Solutions, 26 March 2026)

+76%
Gaming and gambling attack-rate change
2025 year on year (LexisNexis Risk Solutions, 26 March 2026)
82.9%
Operators reporting more fraud
2025 operator survey (Sumsub, 2025)
78%
Operators seeing more AI-generated documents
2025 operator survey (Sumsub, 2025)
+59%
Malicious bot attack growth
2025 year on year (LexisNexis Risk Solutions, 26 March 2026)

LexisNexis analysed more than 116 billion online transactions in 2025 and reported an 8% rise in its global fraud rate. Gaming and gambling sites recorded a 76% rise in attack rate, malicious bot attacks rose 59%, and agentic traffic increased 450% from January to December. The agentic-traffic measure includes legitimate and unknown-intent activity, so it appears here as a traffic measure. (LexisNexis Risk Solutions, 26 March 2026)

Separate identity-verification evidence shows why remote account opening needs more than a selfie. Entrust reports that deepfakes were linked to roughly one in five biometric fraud attempts in its network. iProov reports a 741% annual increase in iOS-targeted injection attacks in its monitored environment. Both figures apply to the named provider networks. (Entrust, 2026) (iProov, 8 April 2026)

NIST's current remote-proofing standard requires controls that raise confidence that media came from a genuine sensor, analysis for manipulation or forgery, authenticated protected channels, testing against attack artefacts and manual review where needed. It places some injection and forged-media cases beyond the reach of biometric comparison and presentation-attack detection alone. (National Institute of Standards and Technology, July 2025)

How to read these studies. Each one counts a different kind of activity among its own customers or survey respondents. They cover AI-generated documents, deepfakes, injection attacks and automated traffic. No published source gives their combined share of South African betting fraud.
09

What Online Growth Changes for South African Operators

The main customer channel now carries most of the measured betting revenue

The NGB recorded R44.458 billion in online betting gross gambling revenue across six named provinces in FY2024/25. That equalled 85.5% of reported betting revenue in those provinces. Remote fraud controls now sit inside the main customer channel covered by the data. (National Gambling Board, October 2025)

01

The identity enters remotely

Stolen details, altered documents and synthetic evidence can reach the operator before a human sees the customer. Trusted capture and source checks raise the quality of the first decision.

02

Money arrives early

Card testing, payment-owner mismatch and third-party deposits can appear soon after sign-up. Identity, device and payment signals need a shared account view.

03

One account can hide a network

Bonus rings and mule activity often reuse devices, contact details, payment instruments or referrals. Link analysis turns repeated elements into an investigator lead.

04

Withdrawal carries the final decision

A new beneficiary, recent account recovery or minimal play can change the risk before payout. A step-up check gives the operator fresh evidence at the cash-out point.

The 85.5% measure covers the six provinces named in the FY2024/25 source and describes their mix of online and other betting revenue.
10

Signals Worth Joining Together

The sequence around an event often says more than a single alert

AUSTRAC lists practical account, payment and wagering patterns observed in online betting. The examples come from an Australian regulator and give fraud teams useful patterns to test against local customer journeys. (AUSTRAC, Accessed 30 July 2026)

Identity and access

Multiple or false identities; identity-payment mismatch; shared device, IP address or contact detail; repeated failed logins; rapid profile changes.

Funding

Several cards or bank accounts; cardholder mismatch; deposits inconsistent with known income or profile; third-party funding without a clear explanation.

Wagering

Minimal play before withdrawal; robotic or highly repetitive betting; coordinated opposing positions; patterns inconsistent with ordinary entertainment or stated purpose.

Withdrawal

New beneficiary after a credential reset; withdrawal to an account held by a third party; repeated deposit-and-withdraw cycles; urgency after account changes.

Network behaviour

Many nominal players linked by device, address, payment instrument, network or promotion; circular referrals; synchronised account creation and wagering.

Context

Dormant account reactivation, unusual hour or geography, source-of-funds inconsistency, adverse information, sanctions match or match-fixing concern.

Rules should preserve the sequence that created the alert. A new device, new withdrawal beneficiary and payout request within minutes is more informative than any one of those events viewed alone.
11

Practical Defence from Account Opening to Payout

What to check, when to step up and what the analyst needs to see

Defence follows the account from registration through payout, with a visible signal, an agreed response and a case record that an investigator can reconstruct at each stage. Operators should set the thresholds through their own product rules, licence controls, fraud policy and case procedure. (AUSTRAC, Accessed 30 July 2026)

1

Establish the player

Verify age and identity, validate document authenticity, compare biometrics where appropriate, and check genuine-sensor and injection signals. Add screening when the operator’s own risk rules call for it.

Control outcome: The operator has a documented identity decision for the person opening the account.
2

Bind the account, device and payment owner

Link verified identity to contact details, device, session and funding instrument. Detect device emulation, shared infrastructure, cardholder mismatch and repeated identity elements.

Control outcome: Fraud rings and third-party payment use become visible before value accumulates.
3

Protect authentication and profile changes

Use phishing-resistant or risk-based authentication where feasible; step up on new devices, contact changes, password resets and beneficiary changes; apply recovery controls as strongly as login controls.

Control outcome: Account-compromise signals trigger a fresh identity decision after onboarding.
4

Monitor money and wagering together

Combine deposits, bets, bonuses, linked accounts, play velocity, withdrawals and customer risk. Test for rapid in-and-out movement, collusion, coordinated promotion use and profile inconsistency.

Control outcome: Monitoring reflects how gambling accounts are actually used to move or disguise value.
5

Interrupt high-risk withdrawals

Re-verify high-risk sessions; compare the payout beneficiary with the verified customer; review source of funds where required; route the payout to manual review under a documented policy; preserve the reason and reviewer authority.

Control outcome: The final cash-out point receives a documented risk decision before value leaves the operator.
6

Investigate and learn

Give analysts the full event chain; preserve evidence; classify fraud, integrity, financial-crime and responsible-gambling concerns under the operator’s current process; feed confirmed outcomes into rule and model testing.

Control outcome: Each closed case supplies a confirmed outcome for future control testing.

Operator response playbook

Account momentTrigger patternImmediate actionEvidence to retain
RegistrationReused identity details, document tampering, age mismatch, shared device or weak genuine-sensor confidence.Pause account activation. Request a fresh capture or authoritative check. Send unresolved cases to trained manual review.Submitted evidence, source result, device signals, linked-account matches and reviewer reason.
Login and recoveryFailed-login burst, unfamiliar device, SIM or contact change, password reset and new beneficiary in one sequence.Step up authentication. Protect sensitive profile changes with an approved cooling period. Notify the existing verified contact.Session history, device change, recovery path, notification delivery and final access decision.
Deposit and promotionPayment-owner mismatch, several cards, linked sign-ups, circular referrals or campaign-timed account creation.Route funding and promotional value to review. Verify payment ownership. Link accounts before a reward becomes withdrawable.Payment-owner result, promotion terms, device graph, referral chain and review outcome.
WageringRobotic velocity, coordinated opposing positions, unusual odds selection or behaviour outside the customer profile.Open a linked fraud and integrity case. Apply approved session controls. Escalate sports-integrity concerns through the operator process.Bet sequence, odds, timing, related accounts, model output and analyst assessment.
WithdrawalMinimal play before payout, a new beneficiary after recovery, third-party account details or source-of-funds inconsistency.Step up identity and beneficiary checks. Complete required source-of-funds work. Route the payout to review under the operator policy.Customer evidence, beneficiary result, transaction path, review authority and release decision.
Case closureConfirmed fraud, integrity concern, linked account network or a control failure that affected customers.Preserve the full event chain. Route related matters through current operator procedures. Feed confirmed outcomes into control testing.Case chronology, classification, supporting records, customer communication and remediation owner.
NIST's technical guidance covers remote identity proofing. Operators can carry that evidence into payment-owner checks, linked-account analysis, login protection and withdrawal review. (National Institute of Standards and Technology, July 2025)
12

Measuring Whether Controls Work

Track confirmed outcomes, customer friction and case quality

Exposure

  • Confirmed fraud loss and recovered value by lifecycle stage
  • Chargeback and disputed-deposit rate by payment method
  • Bonus abuse and multi-account write-offs
  • Account-takeover loss and customer-resolution time

Detection quality

  • True-positive and false-positive rate by rule or model
  • Time from first signal to restriction and analyst decision
  • Linked-account detection before first withdrawal
  • Manual-review overturn and customer-friction rate

Case governance

  • High-risk and event-driven review completion
  • Decision quality and escalation consistency
  • Case-record completeness and access control
  • Control testing and remediation closure

Technology and supplier checks

  • Attack-artefact testing for documents and biometrics
  • False acceptance and false rejection by document and channel
  • Provider outage, fallback and manual-review performance
  • Data retention, access, deletion and audit-log testing

Senior management should be able to read one report and see where confirmed loss occurs, how the risk is changing, what legitimate customers experience and how quickly teams fix control gaps. Alert volume shows the workload, and confirmed case outcomes show whether the controls are finding the right activity.

Open questions for each operator

  1. 1.Can the operator connect accounts controlled by one person or device before a bonus or withdrawal is paid?
  2. 2.Does a high-risk profile change trigger the same scrutiny as initial onboarding?
  3. 3.Can investigators reconstruct why an automated decision was made and which source data was used?
  4. 4.Are fraud, integrity, licensing and responsible-gambling teams sharing the signals each case needs?
  5. 5.Has the operator tested its controls against current injection, document, bot and account-recovery attacks?
13

How We Built This Report

The sources behind the market figures, fraud findings and practical guidance

The research starts with audited regulator statistics, court records, official guidance and public technical standards. Industry studies fill gaps in the public data. Every figure keeps the dates, place and group of transactions or respondents used by its source.

The global market cards use the currency and definition from each source. AGA compiles US state data, and EGBA works with H2 Gambling Capital on the European estimate. FIFA supplies tournament figures. Cloudflare measures web requests, while Optimove and IBIA report activity from their participating networks.

The South African sports-betting chart uses the NGB's five-year bookmaker series. Online betting values appear for FY2023/24 and FY2024/25, with five named provinces in the first year and six in the second. The five-year growth finding comes from the consistent sports-betting series. The two online values show how much reported betting revenue came through that channel.

Public reporting has yet to provide a complete South African series for online-betting fraud losses or AI-enabled betting fraud. The report leaves out a combined estimate and labels each industry finding with the network or survey that produced it.

  1. [1]National Gambling Board: National Gambling Statistics, FY2024/25
    October 2025 · Audited regulator statistics · South African licensed casinos, betting, bingo and limited payout machines
  2. [2]National Gambling Board: National Gambling Statistics, FY2023/24
    November 2024 · Audited regulator statistics · South African licensed gambling, including the published online betting channel split
  3. [3]National Gambling Board: National Gambling Statistics, FY2021/22
    24 October 2022 · Audited regulator statistics · South African casino and total betting revenue for FY2020/21 and FY2021/22
  4. [4]South African Reserve Bank: How much South Africans actually spend on gambling
    2 April 2026 · Central-bank analysis · South African turnover, gross gambling revenue and household expenditure
  5. [5]National Gambling Board: Enforcement: Gamble Legally
    Accessed 30 July 2026 · Law and regulatory guidance · South African legal gambling modes and online-betting perimeter
  6. [6]American Gaming Association: State of the States 2026
    12 May 2026 · Industry market compilation · United States commercial gaming figures compiled from state regulatory data for 2025
  7. [7]European Gaming and Betting Association and H2 Gambling Capital: European Gambling Market: Key Figures 2025 Edition
    25 March 2025 · Industry market estimate · Estimated 2024 gross gambling revenue across EU-27 and United Kingdom markets
  8. [8]International Betting Integrity Association: 2025 Sports Betting Integrity Report
    3 February 2026 · Betting integrity network · Alerts from a member network monitoring more than 1.5 million matches and over US$300 billion in annual betting turnover
  9. [9]FIFA: FIFA President delighted by record-smashing FIFA World Cup 2026
    20 July 2026 · Tournament organiser statistics · Final match count, attendance and FIFA estimate of global tournament engagement
  10. [10]FIFA Integrity Task Force: No suspicious betting activity identified during FIFA World Cup 2026
    21 July 2026 · Betting integrity network · Real-time betting-market and match-manipulation monitoring across all 104 tournament matches
  11. [11]Cloudflare Radar: How the 2026 World Cup affected Internet traffic
    21 July 2026 · Internet traffic network · HTTP request patterns across Cloudflare infrastructure during the tournament
  12. [12]Optimove Insights: June 2026 iGaming Pulse
    15 July 2026 · Operator survey and vendor network · World Cup group-stage player behaviour from participating operator data, within a wider benchmark averaging 3.2 million active US players and 21 million globally
  13. [13]LexisNexis Risk Solutions: 2026 Cybercrime Report findings
    26 March 2026 · Industry transaction network · More than 116 billion online transactions observed globally during 2025
  14. [14]Sumsub: State of Identity Verification in the iGaming Industry 2025
    2025 · Operator survey and vendor network · Global operator survey and Sumsub iGaming verification data
  15. [15]AUSTRAC: Indicators of suspicious activity for online betting agencies
    Accessed 30 July 2026 · Regulator risk indicators · Online betting customer, account, payment and wagering indicators
  16. [16]National Institute of Standards and Technology: Digital Identity Guidelines: Identity Proofing and Enrollment
    July 2025 · Technical standard · Remote identity proofing, injection attacks and forged-media controls
  17. [17]Entrust: 2026 Identity Fraud Report
    2026 · Identity-verification network · More than one billion verifications across 195 countries, September 2024 to September 2025
  18. [18]iProov: 2026 Threat Intelligence Report findings
    8 April 2026 · Identity-verification network · Observed injection and deepfake attacks in iProov-monitored environments
Enterprise discussion

Review the controls around your player journey

VerifyNow can assess identity and fraud controls against an operator's channels, confirmed cases and customer journey.

Request an enterprise assessment

Research cut-off: 30 July 2026. This report provides general information. Legal, regulatory and financial decisions require current legislation, directives, guidance, licence conditions and advice for the operator's circumstances.