Africa’s financial system is being rebuilt in real time. What took Western economies decades to construct through branch networks, physical infrastructure, and entrenched banking relationships, much of Africa is compressing into a decade of mobile-first innovation. The scale is extraordinary and the risks are keeping pace.
Africa processed $1.105 trillion in mobile money transactions in 2024, accounting for 65 percent of global mobile money transaction value and 74 percent of all transaction volume worldwide, according to GSMA’s State of the Industry Report on Mobile Money 2025.
That figure represents a 15 percent increase in 2023 alone. Sub-Saharan Africa added an estimated $190 billion to GDP through mobile money use in 2023, with the technology boosting GDP by more than 5 percent in more than a dozen African countries.
The broader fintech market reflects the same trajectory. The Middle East and Africa fintech market was valued at $18.07 billion in 2024 and is projected to reach $103.65 billion by 2033, expanding at a compound annual growth rate of 21.42 percent, according to Market Data Forecast. McKinsey projects that Africa’s fintech market will grow fivefold by 2028, reaching $47 billion in revenue, according to a 2024 analysis cited by the Global Fintech Network.
The growth is geographically concentrated but spreading. Nigeria, Kenya, South Africa, and Egypt, the continent’s “Big Four” fintech hubs, accounted for 76 percent of total fintech funding in 2024, but new clusters are emerging fast.
Francophone West Africa has seen venture capital inflows grow eightfold between 2021 and 2024, with fintech accounting for 31 percent of total funding in that subregion and connecting an estimated 30 million people to formal banking services for the first time. Nigeria alone is home to more than 250 fintech companies, and Kenya’s digital lending market has expanded to hundreds of active providers over the past decade.
The infrastructure underpinning this growth is still maturing. Cash is still used in approximately 90 percent of transactions across Africa, meaning that fintech revenues have enormous potential yet to be realized. Over half of Africa’s 1.4 billion people do not have a bank account, giving mobile-first platforms a demographic runway that no other region on earth can offer.
The Shadow Economy That Scales Alongside It
The same digital channels enabling financial inclusion are being systematically exploited by organized crime. The African Union estimates that illicit financial flows cost countries in Africa $88 billion per year, according to an August 2025 report. INTERPOL, which signed a cooperation agreement with the African Development Bank in 2025 specifically to combat the problem, puts the figure at close to $90 billion annually, money that could otherwise fund critical infrastructure in water, health, and energy.
Mobile-money laundering cases now account for 25 percent of Africa’s total money laundering volume, according to 2025 data from Shufti. The scale of the global problem provides context: an estimated $3.1 trillion in illicit funds flowed through the global financial system in 2023 alone, while fraud scams and bank fraud schemes totaled $485.6 billion in projected global losses, according to Nasdaq Verafin’s 2024 Global Financial Crime Report.
The nature of financial crime on the continent is also shifting. The 2025 Global Organised Crime Index identified financial crime as the most dominant criminal market on the continent, with the Democratic Republic of the Congo, South Africa, Nigeria, and Kenya ranking among the highest for organized crime and vulnerability.
Professional intermediaries, including lawyers, accountants, and corporate service providers, have become key enablers, drafting paperwork, creating business structures, and helping large sums cross borders undetected. In Southern Africa, professional money laundering networks have routed criminal proceeds through gold, drug, and tobacco supply chains toward Hong Kong and Dubai.
Sector-specific vulnerabilities are becoming more pronounced. Kenya’s Business Registration Service found that more than half of the companies flagged for laundering concerns in 2024 operated in the construction sector. In Chad, construction was identified as the top money laundering risk in 2023. Real estate, precious metals trading, and cross-border remittances have all been identified as high-risk vectors.
Identity Fraud and the AI Arms Race
Perhaps the most alarming development in Africa’s financial crime landscape is the speed at which fraud methods are evolving, driven by the same artificial intelligence technologies that power the fintech platforms themselves.
The average year-over-year identity fraud rate growth across Africa reached 167 percent in 2024, with Niger, Angola, and South Africa all recording fraud rate growth above 300 percent, according to Sumsub’s Identity Fraud Report 2024. Nigeria had the highest identity fraud rate on the continent at 5.91 percent, and identity fraud in the banking and insurance sector grew 162 percent year over year.
Biometric fraud is now endemic. Based on analysis of over 110 million identity verification checks conducted across African industries in 2024, biometric fraud reached a quarterly all-time high of 16 percent, with fraudsters increasingly targeting authentication processes rather than registration, according to Smile ID’s 2025 Fraud Report. Fraud attempts during user authentication were four times higher than during registration, with authentication fraud in some months reaching 30 percent of all verification attempts.
Generative AI is lowering the barrier to entry for sophisticated fraud. By 2025, AI fraud agents combining generative AI, automation frameworks, and reinforcement learning were creating synthetic identities and interacting with verification systems in real time, adjusting behavior based on outcomes to evade detection, according to Sumsub’s Identity Fraud Report 2025–2026 analyzed by the World Economic Forum.
AI-assisted document forgery, recorded at zero percent the year prior, rose to 2 percent of all fake documents identified in 2025, a trajectory experts warn could accelerate sharply as generative tools improve.
The cyber threat is now systemic. Kenya’s Communications Authority reported 2.5 billion cyberthreat incidents in the first quarter of 2025 alone, more than triple the increase from the previous quarter, with cyberattacks estimated to cost Kenya as much as 3.6 percent of its GDP annually.
A 2024 cyberattack on the Bank of Uganda resulted in nearly $17 million in stolen deposits. As Jalel Chelba, acting executive director of Afripol, put it in response to INTERPOL’s 2025 Africa Cyberthreat Assessment Report: “Cybersecurity is not merely a technical issue; it has become a fundamental pillar of stability, peace, and sustainable development in Africa.”
The De-Risking Trap
One of the most consequential and least visible threats to Africa’s financial future is the practice of de-risking: the withdrawal of correspondent banking relationships by global banks unwilling to manage the compliance burden of operating in perceived high-risk markets.
The Financial Action Task Force has warned that de-risking “is not in line with the FATF Recommendations” and that it “can result in financial exclusion, less transparency, and greater exposure to money laundering and terrorist financing risks”, creating a perverse dynamic in which the attempt to reduce risk amplifies it. When African banks lose access to dollar and euro clearing corridors, cross-border payments become more expensive, less transparent, and more likely to route through informal channels with less oversight.
The problem sharpened in early 2025. Both Kenya and South Africa were added to the FATF grey list in February 2025, a designation that immediately spiked enhanced due diligence triggers for counterparties by 14 percent.
South Africa’s grey-listing prompted several European and Asian banks to tighten onboarding criteria for South African clients, imposing transaction caps, extended settlement timelines, and additional documentation requirements across sectors including mining, precious metals trading, and cross-border remittances.
The ripple effects extend well beyond the banks themselves, cascading into supply chains, export businesses, and the cost of trade finance for companies that depend on international relationships.
The Regulatory Response: Ambitious but Uneven
Governments and regulators across the continent are responding with increasing urgency. Kenya’s Anti-Money Laundering and Combating of Terrorism Financing Laws (Amendment) Act, 2025 amended nine primary statutes simultaneously in an effort to overhaul the country’s AML framework.
Nigeria has issued a regulatory framework for open banking and moved toward licensing digital asset exchanges through its Accelerated Regulatory Incubation Program. South Africa has been upgrading its compliance infrastructure with the specific goal of exiting the FATF grey list. Ghana’s Bank issued an Outsourcing Directive in 2024 requiring regulated financial institutions to embed risk management controls into third-party relationships.
The African Union’s Continental Strategy and Kenya’s National AI Strategy both move toward risk-based oversight of AI in financial services. But the pace of regulatory development remains uneven across 54 jurisdictions with vastly different legal traditions, enforcement capacities, and regulatory philosophies. What constitutes an acceptable compliance standard in Nairobi may be unrecognizable to regulators in Dakar or Kinshasa.
That fragmentation is itself a vulnerability. The AI segment of the Africa and Middle East fintech market is expanding at a compound annual growth rate of 34.7 percent between 2025 and 2033, outpacing the capacity of most national regulators to evaluate, certify, or meaningfully oversee it.
For compliance teams already overwhelmed by the volume of digital transactions, explainability and transparency in AI-driven monitoring are not optional features. They are the prerequisite for regulatory trust, and the prerequisite for staying connected to a global financial system that is watching Africa’s trajectory very closely.
Interview with ThetaRay
To unpack the juggernaut, Impact Newswire spoke to Shani Golov, VP Sales & Success at ThetaRay, an Israeli fintech that provides AI-powered solutions for Anti-Money Laundering (AML) transaction monitoring and financial crime detection.
1. What are the biggest challenges financial institutions in Africa face today when it comes to detecting and preventing money laundering, sanctions violations, and other financial crimes?
The hardest part for African institutions right now is the “double-edged sword” of growth: financial systems are digitizing at light speed, but crime is keeping pace using the same technology. We’re seeing a massive rise in AI-powered fraud, synthetic identities, and complex mule networks that simple onboarding checks can’t catch. Because so much of the economy remains informal or cash-driven, legacy systems struggle with “blind spots,” leaving banks vulnerable to de-risking by global partners who simply don’t trust what they can’t see.
2. How do high-growth African markets complicate compliance efforts, and what strategies are most effective for balancing rapid expansion with regulatory oversight?
High-growth markets like Nigeria, Kenya, and South Africa move too fast for “box-ticking” compliance. If you rely on slow, manual due diligence, you’ll kill your customer experience and lose the market to a more agile competitor. The only effective strategy is to move toward continuous, real-time risk assessment, automating the “noise” of low-risk onboarding so your human experts can focus on the high-risk expansion areas. Compliance has to stop being a bottleneck and start being the “safety gear” that lets you drive faster.
3. Can you explain how ThetaRay’s Cognitive AI differs from traditional rule-based monitoring systems, and what advantages it brings to AML and sanctions investigations?
Traditional rules are binary. They only bark if a transaction hits a pre-set tripwire, which criminals have already learned to jump over. ThetaRay’s Cognitive AI is different because it’s “unsupervised”. It doesn’t need a list of bad behaviors to start. It learns the unique “DNA” of normal behavior for every customer and transaction, allowing it to spot “unknown unknowns” and hidden networks that rules would never see. It’s the difference between a static fence and an intelligent, 360-degree radar system.
4. False positives are a major pain point for banks and fintechs. How does AI help reduce investigative backlogs and allow compliance teams to focus on truly suspicious activity?
False positives are the silent killer of productivity; when 90% of your alerts are ‘noise,’ your best investigators are essentially just high-paid data entry clerks. We’ve changed that narrative by launching Ray, our new Agentic AI investigation suite, which automates the investigative heavy lifting that used to take hours. Our Cognitive AI detection engine flags a transaction; and Ray
autonomously investigates: collecting evidence, performing behavioral and counterparty analysis, and even scanning open-source data and adverse media to build a full case file. By reducing manual investigation time by up to 70%, Ray clears the backlog and ensures that every case stands up to regulatory scrutiny with a consistent, explainable reasoning framework. It’s about restoring capacity to your team so they can stop digging through data and start using their expert judgment on the risks that actually matter.”
5. Given Africa’s growing role in cross-border payments, what unique risks do correspondent banking and remittances pose, and how can AI help mitigate them?
Africa is a global leader in cross-border innovation, but the correspondent banking chain is often a “black hole” where data gets lost between intermediaries. This fragmentation makes it a prime target for sanctions evasion and trade-based money laundering. AI mitigates this by providing “whole-network” visibility, screening the entire payment path rather than looking at transactions in isolation. It builds the “trust bridge” that allows African banks to stay connected to global dollar and euro corridors.
6. How are regulators in Africa responding to the adoption of AI-driven compliance tools, and what do institutions need to do to ensure explainability and transparency in their monitoring processes?
African regulators are increasingly proactive. Look at Kenya’s National AI Strategy or the African Union (AU) Continental Strategy and they are moving toward “risk-based” oversight. However, they won’t accept a “black box” where you can’t explain why a transaction was flagged. To build trust, institutions must use Explainable AI that provides clear, human-readable justifications and a transparent audit trail for every decision. Regulators don’t want to see the “math”; they want to see the “reasoning” that a human can validate.
7. Looking ahead, how do you see AI shaping the future of financial crime compliance in Africa over the next five to ten years, particularly in high-risk sectors and emerging fintech ecosystems?
In the next decade, AI will move from being an “add-on” to the core “operating system” of African finance. We will see a shift toward “Collaborative AI,” where institutions share anonymized risk patterns to protect the entire ecosystem at once. As fintechs continue to scale across borders, those who don’t adopt AI will find it impossible to keep up with the sheer volume of digital transactions and evolving regulatory demands. The future isn’t about replacing humans; it’s about a highly-trained “human layer” using AI to secure a truly borderless African economy.
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