RegTech, short for regulatory technology, is software and related technology that helps organisations understand and meet regulatory requirements. It can support tasks such as monitoring transactions, preparing reports, tracking obligations and managing compliance evidence—but it does not guarantee compliance or transfer responsibility away from the organisation.
What RegTech means—and who uses it
The UK Department for Business and Trade defines RegTech as the use of technology—particularly software, data analytics, artificial intelligence and automation—to help organisations comply with regulatory requirements more efficiently and effectively. The World Economic Forum uses a broader framing that includes technology used by regulators as well as by regulated organisations.
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RegTech is a category of tools and practices, not one product or a synonym for artificial intelligence. It can support work throughout the compliance lifecycle: identifying obligations, assessing risk, monitoring activity, preparing reports, retaining evidence and helping supervisors carry out oversight.
Regulatory requirements differ by jurisdiction and change over time. RegTech can help organise and automate parts of that work, but an organisation still needs to determine which rules apply and maintain effective controls.
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What are common RegTech applications?
The European Banking Authority’s analysis of the EU market identifies five commonly used areas. The categories show the breadth of the field; the specific functions and suitability of a tool depend on its implementation.
| Application area | What it can support |
|---|---|
| Anti-money-laundering and counter-terrorist-financing (AML/CFT) | Monitoring customers or transactions and supporting related compliance processes. |
| Fraud prevention | Identifying patterns or activity that may warrant investigation. |
| Prudential reporting | Preparing or managing reports required under prudential rules. |
| ICT security | Supporting technology-risk and security controls. |
| Creditworthiness assessment | Supporting analysis used to assess a borrower’s ability to repay. |
These are not the only possible uses. Depending on the organisation and regulatory setting, systems may also help track rule changes, manage evidence, route exceptions for review or support supervisory work.
What benefits can RegTech provide?
In the EBA’s EU analysis, financial institutions cited improved risk management and monitoring, better sampling, and fewer human errors among potential benefits. Providers highlighted efficiency, responsiveness to regulatory change and effectiveness. These are reported benefits, not a guarantee that every deployment will deliver them.
Automation may reduce repetitive work, but the outcome depends on whether the underlying data is reliable, the software fits the workflow and people know how to handle exceptions. A tool can make a process faster without making its decisions correct or its controls adequate.
How widely is RegTech adopted?
Adoption figures depend on the population measured. In the UK Department for Business and Trade’s survey of manufacturers, 5% reported investing in RegTech. Reported investment varied by company size: 4% among micro firms, 3% among small firms, 17% among medium firms and 38% among large firms. The report cautions that the sample bases are low, so these figures should be treated carefully; they are not global adoption rates or estimates for financial services.
Within the same UK manufacturing study, 20% of firms affected by new or changing regulation in the preceding five years reported investing in RegTech, compared with 4% of firms not affected. The figures describe survey responses, not proof that regulatory change caused firms to invest.
The report also found that 85% of RegTech-investing manufacturers said they were confident in understanding and complying with new regulations, compared with 71% of non-investors. This is an association, not evidence that the technology caused greater confidence; differences in awareness or priorities could help explain it.
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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →The UK study reported a median one-off compliance cost of £10,430 among businesses that were new or affected by a regulatory change. That figure applies to the report’s defined subgroup, not to all businesses or to the cost of RegTech itself.
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What are the risks and implementation challenges?
The EBA identified practical obstacles that can limit a RegTech project’s value. Challenges reported by institutions and providers included:
- Data that is incomplete, inaccurate or difficult to manage.
- Security and privacy concerns.
- Difficulty connecting tools with legacy systems, including limited API capability.
- Interoperability problems between systems.
- Costly or lengthy supplier due diligence.
- Limited awareness of available tools and their capabilities.
The EBA did not identify the legal and regulatory framework itself as the most material obstacle in its analysis. It did note that a lack of common standards among EU Member States could hinder wider adoption in the Single Market.
These implementation problems matter because compliance systems depend on their inputs and operating controls. Poor source data can produce unreliable alerts or reports; weak integration can leave gaps between systems; and unclear ownership can mean exceptions go unresolved. The organisation remains accountable for the compliance process even when a vendor supplies the software.
What changes when a RegTech tool uses AI?
AI may help process information or identify patterns, but it brings additional risks. The U.S. Government Accountability Office’s 2025 review of AI in financial services notes potential efficiency, cost and customer-experience benefits alongside risks involving biased lending, data quality, privacy and cybersecurity. The GAO describes uses including credit decisions, customer service and automated trading.
In that review, most regulators told the GAO that AI outputs inform staff decisions rather than serve as the sole decision source. That is a reported practice, not a universal legal requirement for every jurisdiction or use case. In December 2024, the U.S. Treasury recommended that firms review AI use cases for compliance with existing laws and regulations before deployment and reevaluate compliance periodically; it also highlighted privacy, bias and third-party-provider risks.
For a tool using AI, decision-makers should establish how outputs are checked, who can override them, how errors are corrected and how performance is monitored as data or conditions change. Review should account for the consequences of a wrong output, not just the speed of the process.
How should an organisation assess a RegTech tool?
Start with the obligation and workflow the tool is meant to support, then assess the controls around it. The following questions translate documented implementation challenges into practical selection criteria; they are not a universal regulator checklist.
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- Data: Where does the data come from? Can its accuracy, lineage, access, retention and correction be checked?
- Integration: Can it work with existing systems? What APIs, data transfers or third-party dependencies does it require?
- Privacy and security: How are sensitive data and user access protected, and how are security incidents handled?
- Auditability: Are changes, inputs, outputs and exceptions logged in a way the organisation can review?
- Decision governance: Can staff understand relevant outputs, review alerts and escalate exceptions? If AI is used, how are its performance and risks monitored?
- Supplier and delivery model: What due diligence is needed? If building in-house, does the organisation have the expertise and capacity for long-term maintenance?
- Economics and evidence: What are the implementation and ongoing costs, and how will the organisation tell whether the tool improved the intended outcome?
The International Association of Privacy Professionals frames the broader decision as a balance among automation, control and flexibility, as well as a choice between buying a vendor solution and building in-house. Automating a task is not automatically better than keeping it manual: the appropriate division depends on the risk, the quality of available data and the need for human judgment.
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For Singapore-specific technology-risk and outsourcing guidance, the Monetary Authority of Singapore’s RegTech page points financial institutions to its Outsourcing Guidelines, including cloud outsourcing, and its Technology Risk Management Guidelines. Organisations elsewhere should consult the rules and supervisory guidance that apply in their own jurisdictions.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Is RegTech a market-size figure or a specific product?
Neither: RegTech describes a broad technology category. A frequently repeated World Economic Forum figure projected the market to grow from $7.6 billion in 2021 to $19.5 billion by 2026. Those are historical forecast figures published in 2022, not a verified measurement of the market in 2026.
For foundational background, Wiley’s The REGTECH Book was first published in 2019 and is described as a reference for corporates, regulators, compliance professionals, startups and policymakers. Because it predates current regulatory and technology developments, it should not be treated as a current compliance manual or source of legal advice.
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Sources and scope
- UK Department for Business and Trade, Costs of compliance.
- European Banking Authority, “EBA assesses benefits, challenges and risks of RegTech use in the EU”.
- World Economic Forum, Regulatory Technology for the 21st Century.
- World Economic Forum, “What is RegTech and what does it mean for policymakers?”.
- U.S. Government Accountability Office, Artificial Intelligence: Use and Oversight in Financial Services.
- U.S. Department of the Treasury, “Treasury Releases Report on the Uses, Opportunities, and Risks of Artificial Intelligence in Financial Services”.
- International Association of Privacy Professionals, RegTech Report 2026: Privacy, AI Governance and Digital Responsibility.
- Monetary Authority of Singapore, “Regulatory Technology (RegTech)”.
- John Wiley & Sons, “The REGTECH Book” and Wiley Online Library, The RegTech Book.
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