Artificial Intelligence (AI)-Powered Voice Fraud Detection Market Report 2025

The artificial intelligence (AI)-powered voice fraud detection market size has grown exponentially in recent years. It will grow from $1.99 billion in 2024 to $2.46 billion in 2025 at a compound annual growth rate (CAGR) of 23.5%. During the historic period, growth was driven by the increasing adoption of voice biometrics in contact centers. Other contributing factors included rising incidents of phone-based fraud, a growing need for secure remote customer verification, wider adoption of artificial intelligence in authentication, and heightened consumer awareness about identity theft.

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 $5.65 billion in 2029 at a compound annual growth rate (CAGR) of 23.1%. During the forecast period, growth is expected to be driven by the increasing threat of synthetic voice and deepfake attacks. Other contributing factors include the growing adoption of cloud-based fraud detection solutions, rising demand for scalable fraud prevention for high call volumes, greater enterprise awareness of voice-based fraud risks, and a stronger focus on reducing operational losses due to fraud. Key trends in this period include advancements in real-time synthetic voice detection technologies, innovations in deep learning algorithms for speech analysis, development of multi-lingual voice biometric systems, research into liveness detection methods, and progress in integrating voice fraud detection with Internet of Things (IoT) devices.

The increasing threat of voice-based fraud is expected to drive growth in the artificial intelligence (AI)-powered voice fraud detection market. Voice-based fraud involves attackers using phone calls, voice messages, or synthetically generated voices to impersonate individuals and trick victims into revealing sensitive information or authorizing transactions. This threat is rising due to the widespread availability of synthetic voice generation and deepfake technologies, which make large-scale impersonation easier and more cost-effective. AI-powered voice fraud detection solutions analyze vocal patterns, verify speaker identities, detect synthetic or unusual speech in real time, and help contact centers and service providers block or flag fraudulent interactions. For example, in September 2024, the FBI reported a 14% increase in telephone scam complaints from adults over 60 in 2023, with losses increasing from US$3.1 billion in 2022 to US$3.4 billion.

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 players 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.

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. The countries covered in the artificial intelligence (AI)-powered voice fraud detection market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the financial sector, particularly in investment strategies and risk management. Heightened tariffs have fueled market volatility, prompting cautious behavior among institutional investors and increasing demand for hedging instruments. Banks and asset managers are facing higher costs associated with cross-border transactions, as tariffs disrupt global supply chains and dampen corporate earnings, key drivers of equity market performance. Insurance companies, meanwhile, are grappling with increased claims risks tied to supply chain disruptions and trade-related business losses. Additionally, reduced consumer spending and weakened export demand are constraining credit growth and investment appetite. The sector must now prioritize diversification, digital transformation, and robust scenario planning to navigate the heightened economic uncertainty and protect profitability.

Artificial Intelligence (AI)-powered voice fraud detection uses advanced machine learning and speech recognition technologies to identify and prevent fraudulent activities in voice communications. It analyzes vocal patterns, speech anomalies, and behavioral cues in real time to differentiate between legitimate and malicious interactions. By continuously learning from new data, AI systems improve detection accuracy against evolving fraud tactics and enhance the security of voice-based channels.

The main components of AI-powered voice fraud detection include software, hardware, and services. Software consists of instructions, programs, or data that guide a computer or device to perform specific tasks. These solutions are deployed through on-premises and cloud platforms. They serve organizations of various sizes, including small and medium enterprises (SMEs) as well as large enterprises. Key end users include sectors such as banking, financial services, and insurance (BFSI), telecom, healthcare, government, retail, and others.

The artificial intelligence (AI)-powered voice fraud detection market research report is one of a series of new reports that provides artificial intelligence (AI)-powered voice fraud detection market statistics, including the artificial intelligence (AI)-powered voice fraud detection industry global market size, regional shares, competitors with the artificial intelligence (AI)-powered voice fraud detection market share, detailed artificial intelligence (AI)-powered voice fraud detection market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-powered voice fraud detection industry. This artificial intelligence (AI)-powered voice fraud detection market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

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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