
Saudi robo-advisory AUM hit SAR 7.82B, up 100% YoY, as retail investors drive 580,400 portfolios. The 26x growth since 2023 signals a structural shift that asset managers must price into digital distribution strategies.
Assets under management through Saudi robo-advisory platforms hit SAR 7.82 billion by the end of Q1 2026, a 100% year-on-year surge. The Capital Market Authority (CMA) report also showed 580,400 investment portfolios managed algorithmically, up 51% from the same quarter in 2025. Average assets per portfolio rose to about SAR 13,500.
The simple read is that digital wealth management in Saudi Arabia is growing fast. The better market read looks at who is driving it: retail investors. Total users reached 700,700, with retail clients accounting for 97% (679,100). Qualified clients numbered 21,400, and institutional clients just 215. That skew matters because retail robo-advisory is a volume game – high portfolio counts, small average ticket sizes, and low switching costs. The CMA data underscores a structural shift: algorithms now manage real household savings, not just trial accounts.
The 100% annual growth rate follows a longer trajectory: AUM has multiplied more than 26 times since early 2023. That arithmetic suggests the licensed firms are past the pilot phase and into active client acquisition. For existing brokerages and traditional asset managers, the question is whether robo-advisory platforms cannibalize legacy fee income or expand the total addressable market. The retail-heavy user base points to the latter: many of these 679,100 retail investors may not have used a human advisor before.
The CMA has licensed nine fintech companies to offer robo-advisory services between 2021 and 2025. The list includes Malaa Financial Technology for Securities Business and Thriftplan Company for Information Technology. Each firm operates under a regulatory framework that requires predefined investment strategies and limited human intervention. The licensing cadence – five years to build a cohort of nine players – shows deliberate regulatory pacing rather than a rush to open the market.
679,100 retail clients dominate the user base, while qualified clients total 21,400 and institutional clients number only 215. This distribution has direct profit implications. The average portfolio of SAR 13,500 means each client generates modest fee revenue. Robo-advisory platforms must achieve scale to cover technology and compliance costs. The 51% jump in portfolios, combined with flat average assets, suggests the platforms are adding users faster than they are deepening asset penetration. That is a common growth-stage pattern.
From a regulatory perspective, the CMA’s willingness to publish granular data (AUM, portfolios, user categories) indicates it views robo-advisory as a priority segment. More licensing rounds or updated rules on algorithmic disclosure could follow. The current nine-firm structure may also consolidate if smaller fintechs struggle to reach profitability at sub-SAR 13,500 average portfolio sizes.
SAR 7.82 billion in robo-advisory AUM remains small relative to Saudi Arabia’s total mutual fund and ETF market. The 100% annual growth rate signals a compounding effect. If the trend holds, robo-advisory AUM could surpass SAR 15 billion by early 2027. That would pressure traditional wealth managers to build or buy digital advisory capabilities. Brokerages that already offer digital onboarding and low-cost portfolio management – such as those listed on Tadawul – may see higher retention among younger, tech-savvy investors.
Watch for the CMA’s mid-2026 update. If the number of licensed firms grows beyond nine, or if institutional client numbers rise from the current 215 to even low thousands, the narrative shifts from retail experimentation to institutional adoption. For now, the data confirms that Saudi robo-advisory is no longer a niche – it is a growth vector that asset managers and brokerages must price into their stock market analysis and distribution strategies.
Prepared with AlphaScala editorial tooling from the source reporting linked above. Indexable analysis may include a cited Alpha Score value. Publishing checks screen each story before release. Educational coverage, not personalized advice.