Robo-Advisor Statistics (2026)

The robo-advisor, software that builds and rebalances a diversified portfolio for a low flat fee, has gone from novelty to mainstream. In the US, the ten largest platforms together manage on the order of $525 billion, led by incumbents like Vanguard and Schwab and independents like Betterment and Wealthfront (see the table below).

The story of the last decade is consolidation and scale. The startups that invented the category proved the model, then the giants (Vanguard, Schwab, Fidelity) launched their own versions and used existing client bases to become the biggest players by assets almost overnight.

By assets, Vanguard sits far in front. Its combined Digital Advisor and Personal Advisor services hold about $300 billion in regulatory AUM ($107.7 billion discretionary), serving 817,307 clients. Schwab Intelligent Portfolios is a distant second at an estimated $89.5 billion, then Betterment at $56.4 billion and Wealthfront at $42.9 billion (see the chart and table below).

The client-count ranking looks different. Micro-investing apps dominate on users: Acorns reports 7.77 million clients and Stash 1.29 million, far more than Betterment (923,777) or Wealthfront (491,179), but with tiny average balances. Firm-level figures here come from SEC Form ADV filings via the Motley Fool (source).

Vanguard did not invent the robo-advisor, but it dominates it. Its Digital Advisor (pure robo, $100 minimum, roughly 0.15%-0.20% all-in) and Personal Advisor (hybrid with human CFPs, $50,000 minimum, 0.30%) together report about $300 billion in AUM, more than the next three independents combined.

The advantage is distribution and cost. Vanguard could offer advice to its enormous existing fund base at rock-bottom fees, which is why a firm that launched Digital Advisor only in 2020 is already the category's largest by assets. Its edge is price, not technology.

Betterment launched the category, demoing a risk-slider portfolio builder at TechCrunch Disrupt in 2010 (the company was founded in 2008 by Jon Stein). It was the first independent robo to pass $5 billion in AUM (2016) and $10 billion (2017), pioneering automated tax-loss harvesting along the way.

Today Betterment manages $56.4 billion across 923,777 clients and 1.2 million accounts, charging 0.25% a year (or $4 a month on small balances). Its Premium tier adds unlimited access to certified financial planners for 0.65% with a $100,000 minimum (company history).

Wealthfront is a useful case study in reading robo numbers carefully. For fiscal 2026 (ended January 31, 2026) it reported $94.1 billion in total platform assets and 1.42 million funded clients, both up 17% year over year, on record revenue of $365 million. It went public on Nasdaq (ticker WLTH) in December 2025.

But its SEC-reported managed AUM is only $42.9 billion. The difference is that Wealthfront's platform assets include its high-yield cash account and self-directed stock accounts, not just automated portfolios. When comparing platforms, the discretionary AUM figure is the apples-to-apples one.

Schwab Intelligent Portfolios advertises no advisory fee, which helped it reach an estimated $89.5 billion in assets. But the fee is not the whole cost. Schwab requires a $5,000 minimum and holds a mandatory cash allocation, a 4% floor that often runs 6%-10% of the portfolio, on which it earns the spread.

That cash drag is the hidden price. In a rising market, sitting several percent in cash instead of stocks can quietly cost more than a competitor's 0.25% fee, which is why regulators (the SEC settled with Schwab in 2022 over how it disclosed the cash allocation) and reviewers flag it.

A separate tier optimizes for beginners and small balances. Acorns (7.77 million clients, $10.4 billion AUM) rounds up spare change; Stash (1.29 million clients) and SoFi (265,019) target first-time investors. These apps charge flat monthly fees ($3-$12) rather than a percentage.

The catch is math. A $3-a-month fee is trivial on $10,000 but brutal on a $500 balance, where it equals 7.2% a year. Acorns' average funded account is only about $2,150, so for the smallest savers a flat monthly fee can dwarf the 0.25% a percentage-based robo would charge.

The defining feature of the category is price. The median robo-advisor management fee is 0.25% a year (Morningstar), and the mainstream independents (Betterment, Wealthfront, SoFi) all sit right at that mark. Vanguard undercuts them at roughly 0.15%-0.20%, and Schwab charges no explicit advisory fee at all (see the table below).

On top of the advisory fee, investors pay the expense ratios of the underlying ETFs, typically another 0.05%-0.15%, so the all-in cost of a mainstream robo is usually 0.30%-0.40%. That is still a fraction of what a traditional advisor costs.

The pitch is that software delivers most of what a human advisor does (diversification, rebalancing, tax-loss harvesting) for a quarter of the price. A typical human advisor charges 1.0%-1.5% of assets a year; the median robo charges 0.25%, and many require no minimum versus the $250,000 threshold most human advisors set.

Compounded, the gap is large. In one illustrative 20-year model ($100,000 start, $12,000 added yearly at 7%), the robo path ends around $575,000 after $14,400 in fees, while the human-advised path ends near $467,000 after $124,600 in fees, a difference of roughly $110,000 (see the table below).

Returns are more similar than fees, because most robos hold the same low-cost index ETFs. For a moderate portfolio through September 30, 2025, three-year annualized returns clustered between about 13% and 17%, with SoFi (16.63%), Wealthfront (15.58%), and Betterment (14.96%) at the top and Schwab (13.73%) and Acorns (13.24%) lower (see the chart and table below).

Read these gaps with care: they largely reflect different stock-versus-bond mixes and cash levels, not manager skill. Schwab's lower figure, for instance, owes a lot to its higher cash allocation, and a more aggressive allocation will out-return a conservative one in a bull market regardless of provider.

Adoption is sharply generational. Survey data puts robo-advisor usage near 55% among Gen Z and 42% among millennials, falling to roughly 24% for Gen X and single digits (3%-7%) for Boomers and the Silent Generation (see the chart and table below). Roughly 28% of all US adults said they preferred a robo-advisor for investing in 2024.

The pattern is intuitive: younger investors are comfortable with app-based finance, have smaller balances that price them out of human advisors, and value low fees and automation. These figures come from survey aggregators (CoinLaw / Fortune Business Insights) and should be read as directional rather than precise.

Access is a core selling point. Betterment and many app-based robos have a $0 minimum; Wealthfront asks $500, Vanguard Digital Advisor $100, and Schwab a higher $5,000. That is a world away from the $250,000 or more that most human advisory relationships require.

Average balances vary enormously by tier. Statista pegs the global average managed by a robo user around $55,000, but micro-investing apps pull that far down: Acorns' average funded account is only about $2,150. The category spans everything from spare-change savers to six-figure hybrid clients.

Globally the picture depends heavily on definitions. Statista's fintech tracker puts robo-advisor managed AUM around $1.8 trillion in 2024, growing toward $2.33 trillion by 2028 (about 6.68% a year), with North America the largest region near $1.9 trillion (see the table below).

Market-research firms report much faster growth, but for a different metric: Mordor Intelligence sizes the robo-advisory services market (revenue, not AUM) at $14.29 billion in 2025 rising to $54.73 billion by 2030, a 30.8% CAGR. These are secondary estimates and are not measuring the same thing, so treat headline growth numbers with caution.

For most people, a robo-advisor is a reasonable, low-cost default: diversified index portfolios, automatic rebalancing, and tax-loss harvesting for around 0.25%, with no minimum to clear. The main things to watch are cash drag (especially at Schwab) and flat monthly fees on tiny balances (the micro-investing apps).

The trade-off is a lack of control and explanation. A robo picks a generic allocation from a risk questionnaire; it will not tell you why it owns what it owns or let you build a portfolio around a specific thesis. Walnut sits between the two: you define the strategy and can talk it through with an AI assistant, then place real trades at your own broker, keeping the low-cost, self-directed control a black-box robo does not offer.