Artificial Intelligence (AI)-Powered Voice Fraud Detection Market Report 2026

The artificial intelligence (ai)-powered voice fraud detection market size has grown exponentially in recent years. It will grow from $2.46 billion in 2025 to $3.03 billion in 2026 at a compound annual growth rate (CAGR) of 23.2%. The growth in the historic period can be attributed to rising incidents of voice-based fraud attacks, expansion of call center based customer interactions, increasing availability of large voice datasets, early adoption of speech analytics technologies, growing focus on identity verification.

The artificial intelligence (ai)-powered voice fraud detection market size is expected to see exponential growth in the next few years. It will grow to $6.95 billion in 2030 at a compound annual growth rate (CAGR) of 23.1%. The growth in the forecast period can be attributed to increasing use of generative AI by fraudsters, rising investments in AI-driven security platforms, expansion of voice-enabled digital banking, growing regulatory scrutiny on fraud prevention, increasing adoption across non-banking sectors. Major trends in the forecast period include increasing adoption of real-time voice biometrics, rising deployment of behavioral voice analytics, growing integration with contact center platforms, expansion of multi-language fraud detection models, enhanced focus on continuous learning algorithms.

The growing risk of voice-based fraud is anticipated to drive the expansion of the artificial intelligence (AI)-powered voice fraud detection market in the coming years. Voice-based fraud involves deceptive activities where criminals use phone calls, voice messages, or artificially generated voices to impersonate individuals and trick victims into disclosing confidential information or carrying out unauthorized transactions. This increasing threat is largely driven by the rapid spread of synthetic voice creation and deepfake technologies, which have made large-scale and highly realistic impersonation more accessible and cost-effective. AI-powered voice fraud detection solutions examine vocal characteristics, authenticate speaker identities, identify synthetic or irregular speech in real time, and help contact centers and service providers prevent or flag fraudulent interactions before financial damage occurs. For example, in September 2024, according to the American Bar Association, a US-based professional organization, the FBI reported a 14% rise in telephone scam complaints filed by adults aged 60 and above in 2023, with associated losses increasing from US$3.1 billion in 2022 to US$3.4 billion the following year. Consequently, the escalating threat of voice-based fraud is fueling the growth of the artificial intelligence (AI)-powered voice fraud detection market.

Companies in the AI-powered voice fraud detection market are developing advanced solutions, such as sub-second latency systems, to provide real-time protection against deepfakes and synthetic audio. Sub-second latency allows systems to process and deliver results in less than one second, enabling near-instant response. In February 2024, Pindrop Security Inc., a US-based voice security company, launched Pindrop Pulse, a real-time deepfake audio detection solution. The system can identify manipulated speech within seconds, helping contact centers prevent fraudulent calls before sensitive transactions occur. Pindrop reported detection rates of approximately 90-99% for known and zero-day deepfake attacks, providing an additional layer of authentication and fraud prevention to reduce financial losses and protect customer trust.

In July 2024, Hiya Inc., a US-based voice intelligence company, acquired Loccus.ai for an undisclosed amount. This acquisition enables Hiya to enhance its voice security platform by integrating Loccus.ai’s deepfake voice detection technology, providing real-time protection against AI-generated voice fraud across calls, apps, and digital communications. Loccus.ai is a Spain-based company specializing in AI-powered voice security and deepfake detection.

Major companies operating in the artificial intelligence (ai)-powered voice fraud detection market are Pindrop Security Inc., NICE Ltd., Verint Systems, Phonexia a.s, Auraya Systems Pty Ltd., Aculab Ltd., ID R&D Inc., Voice Biometrics Group, SESTEK Teknoloji, LumenVox LLC, OneVault Inc., ValidSoft Ltd., Uniphore Software Systems Pvt Ltd., LexisNexis Risk Solutions, Sensory Inc., SpeechPro LLC, Veridas Technologies SL, Daon Inc., VoiceTrust Inc., BioCatch Ltd., VoiceIt Technologies LLC, Aware Inc., Idology Inc., Unisys Corporation, VoiceVault Inc.

North America was the largest region in the artificial intelligence (AI)-powered voice fraud detection market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai)-powered voice fraud detection market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (ai)-powered voice fraud detection market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-powered voice fraud detection market consists of revenues earned by entities by providing services such as voice biometric engines, voice liveness detection modules, speaker recognition software development kits, voice fraud gateways, and real-time voice anomaly detection appliances. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-powered voice fraud detection market also includes sales of microphones, digital signal processors (DSPs), biometric authentication sensors, voice analyzers, and dedicated AI accelerators. Values in this market are ‘factory gate’ values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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