Digitalisation and AI tool adoption are enhancing Singapore's financial services sector capabilities and creating new revenue pools in regtech, wealth-tech, and embedded finance.

Sector Growth and Macro Context

Singapore's financial services sector expanded by 6.8% in 2024, more than double the 3.1% growth recorded in 2023, according to MAS data. This acceleration occurred despite a tightening global monetary cycle and geopolitical uncertainty that weighed on rival hubs. The Monetary Authority of Singapore (MAS) has signalled that such momentum will moderate, but structural tailwinds remain firmly in place.

Over the medium term, the financial services sector is projected to grow at a CAGR of 4.0% from 2024 to 2029, according to FPA Financial's market analysis. Loan demand is expected to remain resilient in early 2026, supported by expectations that the U.S. Federal Reserve will hold rates steady, before moderating later in the year as a more cautious economic outlook takes hold. Crucially, wealth management inflows continue to bolster the ecosystem, with high-net-worth capital drawn by Singapore's institutional infrastructure and reputation as a safe, progressive financial centre.

Growth Rate (%) (%)Source: Orionmano Industries

Digital Economy Contribution and Digitalisation of Financial Services

Singapore's digital economy contributed 18.6% of GDP in 2024—S$128.1 billion—up from 18.0% (S$116.1 billion) in 2023, per the Singapore Digital Economy Report 2025. The finance & insurance sector recorded the fastest growth within the digital economy at 6.8% in 2024, adding approximately S$35.1 billion to GDP. This made it the largest contributor outside the information & communications sector.

Digital adoption at the enterprise level is near-universal: more than 95% of SMEs adopted at least one digital area in 2024. For financial institutions, digitalisation is no longer optional—it is embedded in core operations, from contactless payments to digital onboarding for wealth management clients. MAS continues to reinforce operational resilience standards. A key milestone is the upcoming rollout of stand-in capabilities for NETS electronic point-of-sale systems, ensuring contactless payments remain functional during system disruptions. This initiative will expand to QR code payments as their popularity grows.

AI Adoption in Singapore's Financial Institutions

More than 30 financial institutions have established AI functions in Singapore, with several operating as global AI competency centres. These institutions use Singapore as a testbed to incubate and deploy AI solutions before scaling internationally, according to MAS managing director Chia Der Jiun.

The OECD estimates that productivity gains from AI adoption in the financial sector are among the highest across all industries—approximately 12% under the high-adoption scenario in G7 economies over the next decade. In Singapore, AI is already enhancing fraud detection, risk modelling, and customer experience in the banking, financial services, and insurance (BFSI) sector. The OECD notes that AI tools for trading are deployed primarily in advanced-economy financial centres, including Singapore, where algorithmic and high-frequency trading benefit from AI innovation.

To support institutions at earlier stages of adoption, MAS launched the Pathfinder programme (PathFin.ai), a collaborative industry initiative providing access to curated use-cases, validated solutions, best practices, and aligned skills training. Twenty financial institutions have already joined, aiming to reduce barriers to effective implementation and build AI literacy across banking, insurance, capital markets, and payments.

Workforce Transformation and Upskilling Initiatives

As AI adoption expands, workforce transformation has become a central priority. MAS and the Institute of Banking & Finance Singapore (IBF) have partnered with 11 leading financial institutions—Citibank, DBS, Franklin Templeton, HSBC, Income Insurance, Manulife, OCBC, Prudential, SCB, UBS, and UOB—to pilot workforce transformation initiatives. The goal is to prepare Singapore's financial sector workforce for an AI-enabled future.

Three foundational skills have been identified for uplift across the sector: AI/GenAI principles and applications, ethical and responsible AI/GenAI adoption, and prompt design. The program also targets fresh graduates with learning journeys, internships, apprenticeships, and capstone projects involving financial institutions. Industry analysts at CDOTrends note that the real differentiator lies not in building smarter systems, but in enabling people to work confidently and responsibly alongside them.

Regulatory Framework and AI Governance

As AI adoption broadens, MAS is strengthening governance frameworks. The central bank is developing supervisory guidelines to address risks related to AI models, data quality, technology, and third-party reliance. A thematic review of key banks revealed varied levels of maturity in AI risk management, with MAS warning that poor risk management could lead to flawed decisions or harm to customers.

In parallel, MAS is preparing the financial ecosystem for quantum threats. The central bank will begin working with financial institutions on quantum-safe transition roadmaps, recognising that the cybersecurity landscape will shift fundamentally as quantum computing matures. This dual focus—accelerating responsible AI adoption while fortifying digital resilience—reflects the regulator's systematic approach to structural change.

Implications for Revenue Pools in Regtech, Wealth-Tech, and Embedded Finance

The convergence of digitalisation, AI adoption, and regulatory requirements is generating identifiable revenue pools in three high-growth verticals. Regtech demand is rising as AI governance and quantum-readiness mandates create compliance requirements that legacy systems cannot address efficiently. Wealth-tech is benefiting from AI-powered portfolio optimisation and client segmentation tools that asset managers deploy to serve Singapore's expanding high-net-worth population. Embedded finance—the integration of financial services into non-financial platforms—is expanding as digital infrastructure and open-API frameworks mature.

Together, these dynamics position Singapore's financial services sector for steady and broad-based growth. The combination of a low-interest-rate environment, strong wealth inflows, and accelerating AI adoption creates conditions where digitalisation translates directly into new revenue streams, even as global uncertainties persist.