Steady Expansion Forecast for Artificial Intelligence (AI)-Powered Voice Fraud Detection Market, Projected to Reach $5.65 Billion by 2029

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What Will the Artificial Intelligence (AI)-Powered Voice Fraud Detection Industry Market Size Be by 2025?
The market size of voice fraud detection powered by artificial intelligence (AI) has seen a substantial rise over the recent years. The market is projected to expand from $1.99 billion in 2024 up to $2.46 billion in 2025, growing at a compound annual growth rate (CAGR) of 23.5%. This growth during the historic period is due to factors such as the increased use of voice biometrics in contact centers, a surge in phone-based fraud incidents, a growing demand for secure remote customer verification, an uptick in the use of AI for authentication, and heightened consumer awareness regarding identity theft.

What's the Long-Term Growth Forecast for the Artificial Intelligence (AI)-Powered Voice Fraud Detection Market Size Through 2029?
The market size of voice fraud detection, powered by artificial intelligence (AI), is projected to experience substantial expansion in the coming years, rising to $5.65 billion by 2029, with a compound annual growth rate (CAGR) of 23.1%. The surge during the projected timeframe can be credited to the growing menace of synthetic voice and deepfake assaults, increased uptake of cloud-based fraud detection systems, escalating need for scalable fraud avoidance for high call traffic, increased enterprise awareness about voice fraud dangers, and an enhanced focus on minimizing operational losses caused by fraud. Key trends for the forecast period encompass advancements in detecting synthetic voices in real time, innovative deep learning algorithms for speech scrutiny, progress in multilingual voice biometric systems, R&D in liveness detection techniques, and advancements in the fusion of voice fraud detection with internet of things gadgets.

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What Are the Key Growth Drivers Fueling the Artificial Intelligence (AI)-Powered Voice Fraud Detection Market Expansion?
The escalating menace of voice-centric deceit is propelling market advancement owing to the widespread dissemination of synthetic voice and deepfake techniques.

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What Are the Key Trends Driving Artificial Intelligence (AI)-Powered Voice Fraud Detection Market Growth?
Prominent organizations in the AI-driven voice fraud detection sector are concentrating on technological advancements, such as sub-second latency solutions, to offer real-time protection against deepfakes and artificially produced speech. This aids companies in improving security, preventing fraudulent transactions, and fostering greater trust in voice-based communications. Sub-second latency refers to the system's ability to process and deliver results in less than a second, allowing for near-instant performance in real-time applications. An example of this is when US-based voice security company Pindrop Security Inc. rolled out Pindrop Pulse, a real-time audio deepfake detection solution, in February 2024. This can identify synthesized and manipulated speech in seconds, enabling contact centers to intercept fraudulent calls before critical transactions take place. The solution demonstrates top-performing industry standards, with Pindrop disclosing detection rates of about ninety to ninety-nine percent for known and fresh deepfake attacks. Its function is to boost authentication and fraud prevention systems by adding a dedicated layer that signals or blocks audio impersonation attempts in real time, minimizing financial damage and safeguarding customer trust.

How Is the Artificial Intelligence (AI)-Powered Voice Fraud Detection Market Segmented?
The artificial intelligence (AI)-powered voice fraud detection market covered in this report is segmented

1) By Component: Software, Hardware, Services
2) By Deployment Mode: On-Premises, Cloud
3) By Organization Size: Small And Medium Enterprises, Large Enterprises
4) By End-User: Banking, Financial Services, And Insurance (BFSI), Telecom, Healthcare, Government, Retail, Other End-Users

Subsegments:
1) By Software: Voice Analytics Software, Fraud Detection Software, Identity Verification Software, Risk Management Software
2) By Hardware: Voice Sensors, Biometric Scanners, Security Appliances, Networking Devices
3) By Services: Consulting Services, Implementation Services, Support And Maintenance Services, Training Services

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Which Companies Are Leading the Charge in Artificial Intelligence (AI)-Powered Voice Fraud Detection Market Innovation?
Major companies operating in the artificial intelligence (AI)-powered voice fraud detection market are Microsoft Corporation, Uniphore Software Systems Pvt Ltd., Telnyx LLC, Daon Inc., Pindrop Security Inc., Veridas Technologies S.L., Omilia Natural Language Solutions, Gnani.ai, Sensory Inc., Fano Labs Limited, Phonexia a.s., Resemble AI Inc., Reality Defender Inc., Modulate.ai, Illuma Inc., Spitch AG, VoicePIN.com Sp. z o.o, Auraya Systems Pty Ltd., VoiceGuardAI, and Recordia LLC.

Which Regions Are Leading the Global Artificial Intelligence (AI)-Powered Voice Fraud Detection Market in Revenue?
North America was the largest region in the artificial intelligence (AI)-powered voice fraud detection market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-powered voice fraud detection report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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