Market value hits record as three in five investors now use robo-advisors, per Ken Research.

Market Size and Growth Trajectory

Singapore's robo-advisory assets under management reached SGD 12.4 billion in 2024, up from SGD 4.1 billion in 2021, according to industry data. The figure positions Singapore as one of Southeast Asia's fastest-growing wealth-technology segments, fueled by artificial intelligence-powered portfolio management and a user adoption rate of 59%.

The headline AUM figure reflects the total market value captured by AI-managed robo-advisory portfolios operating in the city-state. A separate estimate from Statista Market Insights, cited by Fintech Singapore, projects the Singapore robo-advisory market at approximately US$1.49 billion (roughly SGD 2.0 billion) in 2024, with average AUM per user estimated at US$12.46 million. The discrepancy between the two figures likely stems from differing market definitions, scope of platforms covered, and methodology for converting assets under management into a Singapore-dollar equivalent.

Ken Research, in its October 2025 report, valued the broader Singapore WealthTech and Robo-Advisory Platforms Market at USD 1.2 billion in 2025, encompassing not only robo-advisory services but also wealth management platforms, portfolio management solutions, and AI-driven portfolio analytics tools.

AUM (SGD B)Source: Orionmano Industries

Adoption and User Demographics

Nearly three in five Singaporean investors (59%) now use robo-advisory platforms, according to Ken Research, marking a significant shift in retail investment behaviour. This adoption rate underscores the penetration of automated wealth management tools across the island's investor base, which includes both high-net-worth individuals and retail participants.

Statista forecasts the number of robo-advisory users in Singapore will reach 13.77 million by 2028—a figure that, if realised, would imply multiple accounts per individual and substantial market deepening. The growth trajectory reflects increasing comfort with algorithm-driven investment decisions among a population that is highly digitally literate.

The competitive landscape features a diverse mix of regional and international players. Ken Research identifies leading participants including StashAway, AutoWealth, Syfe, Endowus, Smartly, DBS digiPortfolio, OCBC RoboInvest, UOB SimpleInvest, Quantfolio, BondEvalue, Kristal.AI, Fundsupermart (FSMOne), MyWealth, Razer Fintech, and Lion Global Investors. Each platform targets distinct segments, from first-time investors to those seeking to optimise retirement savings.

A differentiating factor for several platforms is their ability to accept Central Provident Fund (CPF) and Supplementary Retirement Scheme (SRS) funds. Endowus, for instance, allows Singaporeans to invest CPF retirement savings and tax-advantaged SRS funds in curated global portfolios, broadening the addressable user base beyond cash-only investments and embedding robo-advisory deeper into long-term retirement planning.

Technology and Product Differentiation

The technological backbone of Singapore's robo-advisory market is artificial intelligence that automatically manages and rebalances investment portfolios to target predicted returns matched to the user's chosen risk level. This automation, as described by platforms analysed in Statista's market overview, enables investors to start with any amount and without lock-up periods, lowering barriers to entry.

Platforms differentiate themselves through distinct investment philosophies and product architectures. Kristal.AI, founded in 2016, offers a hybrid model that combines AI-driven portfolio construction with human expertise, providing thematic and customisable portfolios. This approach appeals to investors who seek the efficiency of algorithms but value human oversight for complex decisions.

Endowus adopts a "Strategic Passive Asset Allocation" approach, as outlined in its publicly available methodology. The platform focuses on global diversification, passive investing, and long-term horizons rather than short-term return chasing. Investors input financial goals, risk appetite, and time horizon through digital interfaces; algorithms then recommend diversified portfolios and automate regular rebalancing to maintain optimal risk-return balance. This evidence-based framework positions Endowus distinctly from platforms that emphasise active tactical adjustments.

UTrade Robo's mobile application includes an ESG (environmental, social, and governance) investing option, catering to the growing cohort of socially responsible investors seeking to align portfolios with personal values. The ESG feature represents a product-level response to demand for values-based investing within automated platforms.

Risk management approaches also vary. Several platforms emphasise downside protection and volatility management as core differentiators, using AI to minimise risky returns and align strategies with investor risk appetites. This stands in contrast to platforms that prioritise return maximisation, reflecting the spectrum of risk philosophies in the market.

Outlook and Competitive Dynamics

Looking ahead, Singapore's robo-advisory AUM is expected to continue its upward trajectory, supported by AI-driven personalisation and ongoing regulatory enablement from the Monetary Authority of Singapore. However, the market is maturing, and the next phase of competition will be shaped by two forces: consolidation among platforms and the emergence of hybrid advisory models that blend automated management with human touchpoints.

Platforms that successfully differentiate through specialised products—such as ESG options, CPF/SRS integration, or hybrid human-AI advisory—are likely to capture outsized share as the user base expands from early adopters to mainstream investors. The growing number of users, projected to hit nearly 14 million by 2028, creates opportunities for niche players alongside broad-based platforms. Margins, however, will face pressure as fee compression and customer acquisition costs rise in an increasingly crowded field.