Australia AI-Powered Cyber Fraud Detection Market Size, Share, Growth and Forecast, 2025-2035

Scam law and real-time payments are reshaping fraud budgets

The Australia AI-powered cyber fraud detection market was valued at USD 170.5 million in 2025 and is projected to increase from USD 202.9 million in 2026 to USD 984.1 million by 2035, registering a CAGR of 19.18% during 2026–2035. Demand comes from banks, telecommunications carriers, payment firms and public agencies that must spot fraud and scam payments before money leaves an account. The Scams Prevention Framework designated banks, telecommunications services and digital platforms in May 2026, and the key bank duties can apply from March 31, 2027, which moves detection from voluntary practice toward a civil penalty obligation. New South Wales held the largest regional share, 40.2% in 2025, as the most populous state, while Queensland is the fastest-growing region at 19.62% a year. Scam losses reported by the National Anti-Scam Centre reached AUD 2.18 billion in 2025, and shared behavioral and telco signals are now moving into bank decision engines across the country.

Which payments, accounts and claims does this market count?

The market counts software, shared intelligence services and supporting delivery that use machine learning to score payments, accounts, identities and claims in Australia. Buyers include banks, telecommunications carriers, non-bank payment and commerce firms, and public agencies, and they usually purchase through subscriptions, usage-based contracts or internally delivered programs.

Scam reimbursement, stolen funds, general cybersecurity tools with no fraud function and rules-only systems without machine learning fall outside the count. The value chain runs from data and signal providers through model and platform vendors to integrators and the fraud operations teams that act on each alert.

Transaction engines lead as scam intelligence gains fastest

Why do transaction engines lead while scam intelligence grows fastest?

Based on solution type, the market is categorized into Transaction Risk Platforms, Financial Crime Intelligence Platforms, Behavioural and Scam Intelligence Platforms, and Fraud Operations and Infrastructure. Transaction Risk Platforms led with 38.0% of 2025 value because Australian-issued cards alone carried 5.78 million fraudulent transactions in the year to June 2025, according to AusPayNet, and each one needs a scored decision. Behavioural and Scam Intelligence Platforms grow fastest at 21.16% a year as BioCatch Trust analyzed more than 180 million payments in the third quarter of 2025, according to Biometric Update, and flagged over AUD 60 million in attempted fraud.

How is deployment shifting toward hosted fraud services?

Based on deployment model, the market is categorized into Cloud, Hybrid and On-Premises. Cloud led with 46.0% of 2025 value and is also the fastest at 20.08% a year, because smaller institutions prefer hosted services to running models themselves. Greater Bank, a Newcastle lender with more than 270,000 customers, replaced four or five legacy fraud and anti-money laundering systems with a SAS hosted managed service on Microsoft Azure, according to iTnews in June 2022. Major banks also layer new models over existing estates, as CommBank integrated its agentic system into an existing fraud framework during April 2026, according to SecurityBrief Australia.

Which industries fund the most detection spending?

Based on end-use industry, the market is categorized into Banking, Telecommunications, Non-Bank Financial Services and Commerce, and Government. Banking led with 63.0% of 2025 value because CommBank alone reports AUD 1 billion of annual spending on fraud, scams, cyber threats and financial crime, according to SecurityBrief Australia in April 2026. Telecommunications grows fastest at 21.43% a year as carriers now sell signals as well as block traffic, with NAB adopting a Quantium Telstra product combining more than 60 risk signals in April 2026, and telcos blocking 492.7 million scam calls during 2025, according to the Australian Communications and Media Authority.

Why are authorised scams the fastest-growing application?

Based on application, the market is categorized into Unauthorised Payment Fraud, Authorised Payment Scams, Account and Identity Fraud, and Digital Claims and Public Payment Fraud. Unauthorised Payment Fraud led with 34.0% of 2025 value because card fraud reached AUD 854 million in the year to June 2025, according to AusPayNet, and established scoring budgets sit there. Authorised Payment Scams grow fastest at 20.76% a year as reported scam losses reached AUD 2.18 billion in 2025, according to the Australian Competition and Consumer Commission, and customers bore 96% of big bank scam losses in the period reviewed by ASIC in Report 761.

Binding scam duties and rising losses are funding AI models

Cross-sector scam prevention duties create a compliance budget

Cross-sector law is the strongest fraud detection demand trigger because it creates a duty shared by banks, carriers and platforms. Parliament passed the framework on Feb. 13, 2025, with penalties of up to AUD 50 million per offense reported by Jones Day. Herbert Smith Freehills Kramer reports that the designation instrument took effect on May 23, 2026, and the earliest date for key bank obligations is March 31, 2027. The draft bank code asks for systems that detect scams, identify affected consumers and block scam-linked accounts, which favors machine learning over static rules. As a result, compliance teams now sit beside fraud teams in purchasing decisions, and banking still accounts for 63.0% of 2025 value.

Real-time payment protection pushes scoring before funds move

Instant account-to-account payments leave little recovery time, so banks want a decision before money moves. Banks unveiled Confirmation of Payee in July 2025 after investing AUD 100 million, with rollout planned across more than 100 banks, credit unions and payment providers, according to Finextra. The name check only addresses one step, however, so banks also score the receiving account. The BioCatch Trust network retrieved a beneficiary account profile in more than 70% of transactions during the third quarter of 2025, according to Biometric Update, which allows risk assessment before funds leave. In turn, this pattern supports continuing spending on Transaction Risk Platforms, which held 38.0% of 2025 value.

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Scam and identity exposure keeps fraud on board agendas

Loss levels keep the problem visible even as some measures improve. The Australian Competition and Consumer Commission reported 481,523 scam reports and AUD 2.18 billion in losses for 2025, up 7.8% on 2024, with investment scams alone at AUD 837.7 million. AusPayNet recorded AUD 854 million of card fraud in the year to June 2025, when card spending reached AUD 1.2 trillion. The Australian Bureau of Statistics said on March 12, 2026 that 3.2 million Australians experienced personal fraud in 2024-25. The same release showed 72% of card fraud victims were fully repaid by their bank or card issuer, so issuers carry much of that cost directly, which strengthens the return case for better detection.

Prudential rules raise the standard for fraud systems

Prudential and financial crime rules add a second budget line beyond scam law. APRA CPS 230 took effect on July 1, 2025, and Clifford Chance notes that service providers must meet the same operational risk standards as the regulated entity. AUSTRAC transition rules took effect on March 31, 2026, and tranche two sectors came under regulation on July 1, 2026, according to FinTech Global. Those changes increase demand for anti-money laundering software that shares data with fraud teams. As a result, buyers now favor vendors that document model behavior, contingency plans and audit trails, which supports Cloud services holding 46.0% of 2025 value.

Banks are buying shared signals rather than isolated models

Shift toward shared interbank intelligence networks

Banks are moving from isolated models toward shared signals because mule accounts move funds between institutions. ANZ, Commonwealth Bank, NAB, Westpac and Suncorp Bank began a BioCatch Trust pilot on Oct. 1, 2024, according to Information Age from the Australian Computer Society. By the third quarter of 2025 the network covered more than AUD 330 billion in payments and most of the banked population, according to Biometric Update. Macquarie Bank later joined that network in August 2025, according to brokernews.com.au. The National Anti-Scam Centre also joined the Australian Financial Crimes Exchange intelligence loop in June 2024, according to iTnews. This shift explains why Behavioural and Scam Intelligence Platforms grow at 21.16% a year.

Rise of telco signals inside bank decision engines

Telco data is emerging as a bank fraud input because a suspicious call often precedes a scam payment. CommBank and Telstra launched Fraud Indicator on Feb. 10, 2025, and CommBank expected its detection of fraudulently opened accounts to improve by more than 25%, according to Finextra. Telstra said on April 23, 2026 that NAB was adopting the Quantium Telstra Scam and Fraud Indicator, which brings together more than 60 risk signals through one API. Scam Indicator also reached landlines in August 2024, according to iTnews, where 85% of residential services belong to people over 60. Consequently, Telecommunications is the fastest end-use group at 21.43% a year.

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Opportunity in customer-owned and regional banks

Smaller lenders offer an open fraud detection opportunity because their performance gap is measurable. ASIC reviewed 15 banks outside the four majors in Report 790, published on Aug. 20, 2024, and found they stopped 19% of scam transactions by value, with results varying significantly between banks. Customer-owned banks lodged more than 3,000 Fraud Reporting Exchange requests during 2025, according to the National Anti-Scam Centre. Greater Bank showed a route for such lenders in June 2022 by taking SAS as a managed service for its 270,000 customers. Vendors that package models, data and operations for these institutions can reach buyers that cannot justify a dedicated data science team.

Opportunity in digital claims and public payment integrity

Public payment integrity is an open opportunity because federal agencies have dedicated funding and a broad remit. The Australian National Audit Office says the Fraud Fusion Taskforce started in November 2022 with AUD 126.3 million over four years, and Services Australia received a further AUD 23.5 million over two years in the 2024-25 budget. The taskforce links 21 other agencies with its two co-leads, creating a large shared data problem. Services Australia also planned myGov controls for high-risk transactions by June 2025, according to iTnews in August 2024. Insurers face a similar task, and insurance claims analytics methods can transfer to benefit claims, supporting the Behavioural and Scam Intelligence Platforms and operations layers.

Evidence, liability and AI governance gaps slow purchasing

Liability rules are still unfinished for buyers

Purchasing is harder while several key framework rules remain open for lenders. Treasury published only draft sector codes on May 28, 2026, and Herbert Smith Freehills Kramer lists the external dispute instrument, the refined scam definition and the information sharing rules as outstanding. Banks therefore size programs against draft codes, and vendors cannot promise a fixed compliance scope. Phased contracts reduce that risk, since buyers can extend modules once the final rules are published.

Detection results remain uneven and hard to compare

Buyers struggle to compare products because public performance evidence is thin. ASIC found the four major banks stopped about 13% of scam payments in Report 761, while banks and BioCatch declined to disclose false-positive rates, according to Information Age in November 2024. CommBank also gave no loss or false-positive results for its April 2026 agentic system, according to SecurityBrief Australia. Pilots with agreed metrics remain the practical answer for procurement teams.

AI governance gaps slow model approval

Model approvals take longer as supervisors press boards on AI risk. APRA wrote to banks, insurers and superannuation managers on April 30, 2026, saying assurance practices were not keeping pace with AI scale, speed and complexity, according to The Nightly. That letter affects fraud models directly because they make automated payment decisions. Institutions respond with added documentation and human review points, which lengthens deployment but gives vendors with audit tooling an advantage.

Scammers shift channels faster than models adapt

Controls in one channel push criminals toward another, so models age quickly. Scamwatch text message reports fell from 77,365 in 2024 to 29,058 in 2025, according to the Australian Competition and Consumer Commission, while Scamwatch online reports with a loss rose 31.8%. Biometric Update also reported account takeover attempts up 47% in a year during November 2025. Criminals also rebuild quickly, since the OECD says ASIC was removing an average of 230 investment scam websites a week as of February 2026. Buyers therefore face frequent retraining costs, which favors continuously updated services.

New South Wales leads as Queensland grows the fastest

New South Wales holds the largest buying base

New South Wales held 40.2% of 2025 value and grows at 18.92% a year, from the largest state population of about 8.59 million in June 2025, according to the Australian Bureau of Statistics. That population is 31.1% of the national total, so the share also reflects concentrated financial buying rather than headcount alone. Newcastle-based Greater Bank provides a regional example, having moved its fraud and financial crime platform to a SAS managed service for 270,000 customers.

Victoria follows with steady growth in population

Victoria held 29.9% of 2025 value and grows at 19.22% a year, supported by a population of about 7.07 million that rose 1.8% in the year to June 2025, according to the Australian Bureau of Statistics. That growth adds 123,500 residents, the largest increase of any state, widening the pool of retail accounts and digital service users. Victorian demand therefore rests on national bank and telecommunications programs as well as a steadily expanding customer base.

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Queensland records the fastest regional growth

Queensland held 24.7% of 2025 value and grows fastest at 19.62% a year, from a population of about 5.67 million, or 20.5% of the national total. The Australian Bureau of Statistics recorded growth of 1.8% in the year to June 2025, or 97,900 people. Suncorp Bank also joined the October 2024 BioCatch Trust pilot, according to Information Age. That share therefore sits above the state's population weight, a gap that rests on Credence Research estimates rather than published fraud-technology spending data.

Remaining states and territories start from a small base

Remaining States and Territories held 5.2% of 2025 value and grow at 18.82% a year, well below their 22.7% population weight of about 6.28 million people. The Credence Research model reads the gap as purchasing run through national bank and carrier contracts, which it assigns to the eastern states. Western Australia grew fastest nationally at 2.2% in the year to June 2025, according to the Australian Bureau of Statistics, while Tasmania grew 0.2%.

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Banks, telcos and regulators are moving together

Behavioral, telco and agentic models are widening detection

• Behavioral biometrics reads session, device and account patterns, and BioCatch Trust uses them to assess the receiving account before funds move between banks.
• Telco signal APIs add call and mobile service data to bank decisions, with Quantium Telstra combining more than 60 risk signals in one service.
• Agentic AI searches transaction data for new patterns and proposes rules, as CommBank described in April 2026 alongside tools that monitor 80 million signals a day.
• Real-time call assistants summarize phone conversations for fraud staff, and Westpac disclosed such a pilot in May 2025 that may also detect a scammer coaching a customer.

Global engines compete with local shared-signal networks

Competition splits between global scoring engines and local networks built on shared data. SAS sells fraud and anti-money laundering decisioning as a hosted managed service, while IBM Safer Payments was used by Volt Bank through a partner platform before that lender closed its deposit business in June 2022. BioCatch competes through network effects, since the largest Australian banks feed its Trust service. Quantium Telstra holds an unusual position because its telco signals are difficult for a software rival to reproduce. Visa completed its purchase of Featurespace on Dec. 20, 2024, which ties real-time AI payment protection to a card network. Vendors also face in-house competition, as ANZ reported more than 170 new algorithms and biometrics capabilities in December 2024. Buyers increasingly compare identity verification add-ons, audit evidence and managed delivery, and many hand alerts to managed security operations only when incidents cross into system compromise.

Who supplies Australian banks and carriers with detection tools?

Network access will matter as much as model accuracy

Credence Research's view is that access to shared signals will separate vendors more than raw model accuracy through 2030. The National Anti-Scam Centre figure of AUD 2.18 billion shows that losses remain large despite heavy spending, and the end-2027 information sharing rules will reward firms that already exchange data across sectors. Banks will likely keep core transaction engines and add behavioral and telco layers around them. The most assumption-heavy figure in this report is the banking share, because institutions rarely separate AI fraud spending from broader financial crime budgets.

How Credence Research built the Australian estimates

The report uses 2025 as the base year and forecasts market value to 2035 from the Credence Research model. Segment and regional splits are Credence Research estimates, informed by regulator releases, official statistics, industry body data, company announcements and trade press opened during research. Named sources include the Australian Competition and Consumer Commission, AusPayNet, the Australian Bureau of Statistics, ASIC and the Australian National Audit Office. No interviews or surveys were conducted for this edition, and vendor activity is described only where a public source confirmed it.

Mandatory duties from 2027 set the pace of spending to 2035

Spending should accelerate as the framework moves from design to enforcement, with the key bank duties able to apply from March 31, 2027 and sharing duties expected by the end of 2027. The market is projected to reach USD 984.1 million by 2035 at a 19.18% CAGR, with Authorised Payment Scams and Telecommunications providing the fastest growth. Growth will probably depend on the final codes for banks and telcos, and on whether AI results can be evidenced to supervisors. Smaller lenders and public agencies should broaden the buyer base through managed services over the period.

Note: The depth of individual sections depends on data availability for this market. Volume, capacity, trade and other unit-based metrics are included where applicable.