The State of Fraud in the Gig Economy

19% of respondents ranked device rooting / jailbreaking as their biggest manipulation challenge currently in the gig economy.

24% of gig economy respondents said that collusion is a top fraud and abuse concern for both 2025 and 2026.

17% of respondents cite promo & referral abuse as a top concern for the gig economy in 2026.

Refund abuse accounts for 19% of fraud and abuse concerns in the gig economy.

14% of respondents cite ban evasion as a top concern for the gig economy in 2026.

19% of manipulation concerns in the gig economy by 2026 will be related to app cloning.

48% of gig economy platforms use tamper detection for fraud prevention.

Chargebacks and payment fraud account for 24% of fraud and abuse concerns in the gig economy.

14% of respondents cite driver compensation as a top concern for the gig economy in 2026.

24% of manipulation concerns in the gig economy by 2026 will be related to bots and script automation.

26% of respondents ranked app tampering / code injection as their biggest manipulation challenge currently in the gig economy.

86% of respondents in the gig economy reported Device ID as a widely used fraud prevention tool on their platforms.

Promo and referral abuse accounts for 14% of fraud and abuse concerns in the gig economy.

21% of respondents ranked device farms as their biggest manipulation challenge currently in the gig economy.

29% of respondents ranked app cloning as their biggest manipulation challenge currently in the gig economy.

51% of leaders at gig economy organisations reported fraud tool spending increased in 2025.

21% of manipulation concerns in the gig economy by 2026 will be related to device farms.

Cancellation abuse accounts for 14% of fraud and abuse concerns in the gig economy.

Account sharing and renting accounts for 14% of fraud and abuse concerns in the gig economy.

69% of gig economy platforms use email and phone verification.

52% of gig economy platforms use location intelligence for fraud prevention.

48% of gig economy platforms use facial recognition for fraud prevention.

83% of leaders at gig economy organisations expect fraud tool spending to increase or hold steady in 2026.

24% of respondents cite collusion as a top concern for the gig economy in 2026.

17% of respondents cite chargebacks as a top concern for the gig economy in 2026.

29% of manipulation concerns in the gig economy by 2026 will be related to app tampering/code injection.

50% of gig economy platforms use 3D Secure for fraud prevention.

50% of gig economy platforms use MFA for fraud prevention.