ロボアドバイザー・サービス市場シェア分析、業界動向と統計、成長予測 2026-2031年

ロボアドバイザー・サービス市場の規模は、2025年の142億9,000万米ドルから拡大し、2026年には185億2,000万米ドルに達すると推定されています。また、2031年には677億6,000万米ドルに成長し、2026年から2031年にかけて年平均成長率（CAGR）29.63%に達するとMordor Intelligenceでは予測しています。この成長を牽引しているのは、人工知能（AI）の急速な進化、デジタル化を推進する規制の整備、そしてベビーブーマー世代からテクノロジーに親しんだ若い世代への世界的な資産移転です。アルゴリズムに基づくポートフォリオ構築、リアルタイムの税務最適化、組み込み型金融（エンベデッド・ファイナンス）による販売モデルなどが、従来の投資アドバイザーと直接競合するようになっています。各プラットフォームは、支出、収入、行動データを分析し、適切なタイミングでポートフォリオ調整を促す「ハイパー・パーソナライゼーション（超個別化）」機能を導入することで、差別化を図っています。一方、北米や欧州では規制の明確化が機関投資家による導入を後押ししており、アジア太平洋地域では、市場参入の障壁を低減するサンドボックス制度（規制の特例措置）が成長を促進しています。

レポートの主なポイント

• ビジネスモデル別：2025年のロボアドバイザー・サービス市場シェアでは、ハイブリッド型プラットフォームが60.10%を占めて首位となりましたが、専業型（ピュアプレイ）モデルは2031年まで年平均成長率（CAGR）34.35%という最も高い成長率を記録する見込みです。
• サービスタイプ別：2025年の収益構成では、資産管理機能が38.15%を占めました。また、税務上の損失を利用して節税を図る「タックス・ロス・ハーベスティング（税務最適化売却）」機能は、2031年までCAGR 33.20%で成長すると予測されています。
• プロバイダー別：2025年の収益の51.65%をフィンテック・イノベーター（新興企業）が占めましたが、銀行や信用組合も拡大を続けており、2031年までのCAGRは34.40%に達する見込みです。
• エンドユーザー別：2025年の需要の54.60%を高純資産保有者（富裕層）が占めましたが、個人投資家（リテール）セグメントも拡大しており、2031年までのCAGRは33.10%となっています。
• 地域別：2025年の収益では北米が37.75%を占めましたが、アジア太平洋地域も成長を続けており、2031年までのCAGRは32.90%に達する見込みです。

ビジネスモデル別：ハイブリッド型が市場成熟を牽引

ハイブリッド型アドバイザーは2025年の収益の60.10%を占め、ロボアドバイザーサービス市場において最大のシェアを獲得しました。一方、純粋なロボアドバイザーは年平均成長率（CAGR）34.35%で成長を続けています。投資家は、低コストで効率的な運用と、市場変動時の人的サポートというハイブリッド型の魅力に惹かれています。

プラットフォームは、資産規模ではなくライフステージに基づいてセグメント化する傾向が強まっています。Robinhoodが間もなく提供するシンプルなロボアドバイザーは、資産配分にアルゴリズムを使用しますが、銘柄選定は人的で行うという、SECの要件とユーザーの安心感の両方を満たす、絶妙なバランスを実現しています。

サービス別：税務最適化が成長の起爆剤に

ウェルス・マネジメント・サービスは2025年の支出全体の38.15%を占め、54億5,000万ドルというロボアドバイザー市場最大のシェアを維持しました。対照的に、税引後リターンの向上（アルファの創出）を求める投資家の需要を背景に、タックス・ロス・ハーベスティング（税務上の損失実現による節税手法）の利用が年平均成長率（CAGR）33.20%で拡大しています。

ダイレクト・インデックス（個別銘柄による指数連動運用）と自動ハーベスティングを組み合わせることで、純リターンを1～2%ポイント向上させることが可能です。ブラックロック傘下Aperio（アペリオ）の成功は、機関投資家レベルのアルゴリズムを富裕層の個人投資家にも提供できるようになったことを示しており、2026年の税制改正を前に顧客の囲い込み（ロイヤリティの確保）を実現しています。

Robo-advisory Services Market Analysis by Mordor Intelligence

Robo Advisory Services market size in 2026 is estimated at USD 18.52 billion, growing from 2025 value of USD 14.29 billion with 2031 projections showing USD 67.76 billion, growing at 29.63% CAGR over 2026-2031. Rapid artificial-intelligence improvements, pro-digital regulatory updates, and the ongoing global wealth transfer from Baby Boomers to younger, tech-native cohorts power growth. Algorithm-driven portfolio construction, real-time tax optimization, and embedded-finance distribution models now compete directly with traditional advisors. Platforms are also differentiating through hyper-personalization features that translate spending, income, and behavioral data into timely portfolio nudges. Meanwhile, regulatory clarity in North America and Europe is spurring institutional adoption, while Asia-Pacific benefits from sandbox frameworks that lower go-to-market barriers.

Key Report Takeaways

• By business model, hybrid platforms led with 60.10% of the robo-advisory services market share in 2025, while pure-play models are on track for the fastest 34.35% CAGR to 2031.
• By service type, wealth-management functions controlled 38.15% revenue in 2025; tax-loss harvesting is forecast to post a 33.20% CAGR through 2031.
• By provider type, fintech innovators held 51.65% of 2025 revenue, whereas banks and credit unions are expanding at a 34.40% CAGR to 2031.
• By end-user, high-net-worth clients accounted for 54.60% of 2025 demand, yet the retail segment is accelerating at a 33.10% CAGR to 2031.
• By geography, North America commanded 37.75% revenue in 2025, but Asia-Pacific is advancing at a 32.90% CAGR to 2031.

Note: Market size and forecast figures in this report are generated using Mordor Intelligence’s proprietary estimation framework, updated with the latest available data and insights as of 2026.

Global Robo-advisory Services Market Trends and Insights

Drivers Impact Analysis*

Digitisation of the BFSI industry

Cloud-native infrastructure and API-driven architectures are enabling banks to plug robo modules into legacy cores without wholesale rewrites. JPMorgan’s AI-based cash-management tool cut manual processing by 90% for 2,500 clients, proving scalability for algorithmic advice.[1] Siemens Treasury’s digital migration shaved USD 20 million in yearly costs, underscoring how programmable payments and blockchain rails support real-time rebalancing. Europe’s ESMA has issued AI guidance that clarifies compliance guardrails, fostering institutional uptake.

Cost-efficiency in personal finance management

Automated portfolios typically charge 0.25–0.50% versus 1–2% at traditional firms, a spread that unlocked more than USD 1 trillion in global robo assets in 2025.[2] Betterment’s tiered model illustrates margin leverage: the firm manages USD 50 billion while passing efficiency gains to users. BlackRock’s Aperio platform executed 1.3 million trades and harvested USD 164 million in tax losses, turning algorithmic speed into after-tax alpha.

Growing millennial and Gen-Z preference for DIY investing

Forty-one percent of investors under 40 are comfortable delegating to AI, against 14% of Boomers. The USD 68 trillion inter-generational wealth transfer will therefore favor automated channels. Robinhood’s acquisition of AI start-up Pluto and its SEC-registered RIA application show incumbents reshaping to capture this audience.[3]

AI-powered hyper-personalised nudges boost engagement

BlackRock’s “Asimov” virtual analyst reads filings, research, and emails to surface investment insights in natural language. PortfolioPilot reached USD 20 billion AUM in two years by tailoring prompts to each user’s cash-flow profile. Predictive analytics now anticipate contribution gaps and suggest catch-up moves, increasing retention and wallet share.

Restraints Impact Analysis*

Lack of human touch and empathy

Only 5% of U.S. investors currently rely on a robo despite lower fees, highlighting the emotional gap that algorithms still cannot bridge.[4]During downturns, attrition rises as clients crave reassurance. Hybrid models that bundle CFP access—such as Betterment Premium—help but add cost overhead.

Regulatory and fiduciary uncertainty across regions

The SEC’s 2025 Internet Adviser Rule restricts exemptions to firms that serve clients exclusively via interactive websites, raising compliance budgets. FinCEN’s 2026 AML directive will further lift cost structures. Europe’s AI guidelines under MiFID II require bias testing and explainability, complicating cross-border scaling.

*Our forecasts treat driver/restraint impacts as directional, not additive. The impact forecasts reflect baseline growth, mix effects, and variable interactions.

Segment Analysis

By Business Model: Hybrid Dominance Drives Market Maturation

Hybrid advisers captured 60.10% of 2025 revenue, equal to the largest single slice of robo-advisory services market share, while pure robos are expanding at a 34.35% CAGR. Investors gravitate to the hybrid promise of low-cost efficiency with a human backstop during volatility.

Platforms increasingly segment by life stage rather than wealth tier. Robinhood’s upcoming plain-vanilla robo uses algorithms for allocation but retains human security selection, illustrating a nuanced blend that meets SEC expectations and user comfort levels.

By Service Type: Tax Optimization Emerges as Growth Catalyst

Wealth management services retained 38.15% of 2025 spending, representing the largest slice of the robo-advisory services market size at USD 5.45 billion. By contrast, tax-loss harvesting is accelerating at 33.20% CAGR, riding investor demand for after-tax alpha.

Direct indexing coupled with automated harvesting can add 1–2 percentage points of net returns. BlackRock’s Aperio success shows that institutional-grade algorithms can now be delivered to affluent retail accounts, locking in loyalty ahead of the 2026 tax-code revisions.

By Provider Type: Banks Accelerate Digital Transformation

Fintechs controlled 51.65% of the 2025 robo-advisory services market, equating to USD 7.38 billion of robo-advisory services market size, yet banks are scaling fastest at 34.40% CAGR. MUFG’s USD 660 million buyout of WealthNavi signals incumbents’ resolve to acquire rather than build.

Goldman Sachs offloaded Marcus Invest accounts to Betterment, suggesting that white-label or partnership models may trump in-house builds for institutions lacking consumer-tech DNA.

By End-user: Retail Democratization Drives Expansion

High-net-worth clients contributed 54.60% of 2025 volume, delivering the single largest contribution to robo-advisory services market share, yet retail demand is climbing at a 33.10% CAGR. Micro-investing features and fractional ETFs help platforms profitably serve accounts under USD 5,000.

Corporate-treasury use cases are emerging as firms automate idle-cash deployment. Capitalize partnered with Schwab and Robinhood to mine 401(k) rollovers worth USD 1.65 trillion, underscoring B2B runway.

Complete Report Scope:

• By Business Model
  • Pure Robo-advisor
  • Hybrid Robo-advisor
• By Service Type
  • Investment Advisory
  • Wealth Management
  • Retirement Planning
  • Tax-loss Harvesting
  • Goal-based Planning
• By Provider Type
  • FinTech Firms
  • Banks and Credit Unions
  • Traditional Wealth Managers/Broker-Dealers
• By End-user
  • Retail Investors
  • High-Net-Worth Individuals (HNWI)
  • SMEs and Corporate Treasuries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Chile
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Singapore
    • Malaysia
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • Turkey
      • Israel
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America retained 37.75% of global spending in 2025 on the back of regulatory clarity and early-mover platforms such as Betterment and Wealthfront. The region’s shareholder-friendly tax frameworks and high digital-banking penetration sustain premium pricing models despite fierce fee compression.

Europe’s MiFID II ecosystem promotes investor protection and transparency, encouraging cross-border expansion for digital advisers. ESMA’s AI guidelines further standardize algorithmic disclosures, though firms must still reconcile data-privacy obligations country by country. Pan-European platforms like Scalable Capital are localizing language, risk questionnaires, and pension integrations to unlock addressable demand.

Asia-Pacific posts the highest 32.90% CAGR. Regulatory sandboxes in Singapore, Japan, and India let start-ups iterate rapidly, while rising middle-class savings pools drive AUM inflows. Revolut’s Singapore robo launched with only USD 100 minimums, and Syfe’s Hong Kong build-out signals a mass-affluent land grab. MUFG’s WealthNavi acquisition validates the scalability of local champions and paves a path for cross-listing of robo ETFs on the Tokyo Stock Exchange.

Regulatory Landscape

Robo-advisory providers operate under investment-adviser and conduct-of-business regimes that are increasingly being interpreted through an AI-governance lens. In Europe, ESMA issued a May 2024 public statement on the use of AI in investment services, reinforcing that MiFID II obligations around governance, suitability, disclosures, and acting in the client’s best interest apply regardless of whether advice is delivered by humans or algorithms.

Cross-border convergence is rising through international standard setters and regional rulemaking. IOSCO published a Supervisory Toolkit for AI Use in Capital Markets in February 2026 to help member regulators oversee AI applications, including robo-advising. IOSCO’s 2025 work on Digital Engagement Practices (DEPs) also highlights controls for gamification and targeted prompts in retail investing. In the Middle East, the Capital Market Authority (Saudi Arabia) formalized “robo-advisor service” terminology via Decision 2-3-2026 (issued January 2026 and published April 2026), signaling more explicit supervisory categorization for algorithm-driven advisory models.

Value Chain Analysis

The robo-advisory services value chain starts with data and connectivity inputs (market data feeds, pricing, corporate actions, and customer-account connectivity via custodian and brokerage APIs), then moves into portfolio intelligence (risk profiling, model portfolios, optimization, and tax-aware rebalancing). The execution layer routes orders through brokers/custodians and market centers, while a parallel compliance and controls layer supports KYC/AML, suitability checks, surveillance, recordkeeping, and client disclosures. Front-end engagement (mobile/web, chat and nudges, reporting) closes the loop by collecting client goals and behavioral signals that feed back into allocation and retention programs.

Distribution and servicing are split between direct-to-consumer onboarding and embedded or partner channels (banks, broker-dealers, workplace and benefits platforms, and white-label programs). Regulatory requirements increasingly shape operational dependencies. For example, the SEC’s amended Internet Investment Adviser Exemption (effective July 8, 2024, with compliance by March 31, 2025) pushes firms to maintain an operational interactive platform as the primary advice-delivery mechanism, which raises the importance of resilient digital product engineering, audit-ready logging, and vendor governance across data, model, and execution partners.

Competitive Landscape

The robo-advisory services market remains moderately fragmented, yet consolidation momentum is unmistakable. Heavyweights are pursuing M&A to gain scale that lowers per-account compliance costs. MUFG-WealthNavi, Betterment-Ellevest, and Robinhood-TradePMR deals all closed within one year, signaling a rising premium on integrated custody and advice stacks.

Technology is the primary battleground. BlackRock’s “Asimov” shows how incumbents wield proprietary data to build virtual analysts that extend human teams rather than replace them. Pure-digital challengers such as PortfolioPilot reached USD 20 billion AUM in under 24 months by deploying generative-AI chat interfaces that demystify asset allocation.

Product roadmaps are converging on three differentiators: embedded finance APIs, advanced tax-alpha engines, and behavioral analytics that nudge savings rates. Banks that lack API fluency are opting for white-label partnerships, while fintechs are courting employer-benefit channels to lock in paycheck-linked inflows. Over the forecast horizon, the winners are likely to combine AI personalization, regulatory capital, and multi-channel distribution at a global scale.

Market Opportunities and Future Outlook

Product differentiation is shifting from basic automated allocation toward higher-engagement, AI-assisted workflows that expand what digital advice can deliver. Public introduced AI Agents for portfolio monitoring and automated trading in March 2026, and SoFi Technologies launched Composer by SoFi in June 2026 after its acquisition of Composer Securities LLC. Together, these launches point to user-directed, automated strategy execution that can be wrapped with suitability controls and clearer client prompts. They also reinforce whitespace for platforms to package goal-based planning, tax-aware optimization, and real-time portfolio explanations into simpler experiences designed for mobile-first retail behaviors.

Regulatory and governance requirements around AI are also creating room for platforms that make transparency, bias controls, and auditability operational within the product rather than as back-office processes. IOSCO’s February 2026 Supervisory Toolkit for AI Use in Capital Markets and ESMA’s May 2024 guidance on AI in investment services reinforce demand for explainable models, consistent outcomes versus disclosures, and stronger technology governance. As robo providers and incumbent wealth firms modernize stacks to meet these expectations, hybrid deployments (advisor-assisted plus automation) and embedded distribution partnerships where compliant advice modules plug into banks, broker-dealers, and workplace channels are increasingly relevant.

Recent Industry Developments

• May 2026: Charles Schwab launched an AI-powered capability aimed at helping investors understand portfolio performance and market activity by bringing portfolio information together with market news and expert commentary. The release supports more scalable, self-directed client engagement that can reduce service friction while maintaining alignment with Schwab’s advisory and brokerage ecosystem. This expands Schwab’s digital investment experience and strengthens its position against AI-first entrants in the retail wealth space.
• December 2025: Charles Schwab discontinued Schwab Intelligent Portfolios Premium, with the change effective December 18, 2025. The change reflects portfolio-advice offerings consolidating into fewer, more scalable digital and advisor-led pathways as firms rationalize hybrid tiers and associated servicing complexity. It underscores a consolidation trend across robo-advisory offerings that others are implementing to simplify pricing and servicing.
• May 2024: ESMA issued a public statement on AI in investment services, reinforcing MiFID II governance, suitability, disclosures, and client-best-interest obligations for algorithmic advice and automated systems. The guidance anchors higher standards for transparency and governance, shaping how robo-advisory platforms implement explainable models and auditability across products.

List of Companies Covered in this Report:

• Vanguard Group Inc.
• Charles Schwab & Co. Inc. (Intelligent Portfolios)
• Empower Advisory Group Inc. (Personal Capital)
• Betterment LLC
• Wealthfront Corporation
• BlackRock Inc. (FutureAdvisor)
• FMR LLC (Fidelity Go)
• M1 Holdings Inc. (M1 Finance)
• Acorns Grow Inc.
• Stash Financial Inc.
• Robinhood Advisory LLC (Robinhood Portfolio)
• Ellevest Inc.
• SigFig Wealth Management LLC
• SoFi Technologies Inc. (SoFi Invest)
• Nutmeg Saving & Investment Ltd.
• Scalable Capital GmbH
• Raisin DS GmbH (WeltSparen Invest)
• Bambu Global Pte Ltd.
• Wahed Invest LLC
• Syfe Pte Ltd.
• Stockspot Pty Ltd.
• Groww (Nextbillion Technology Pvt Ltd.)
• Freetrade Ltd.
• SmartWealth (Emirates NBD)
• Revolut Ltd (Wealth & Trading)

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

Table of Contents

1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE
4.1 Market Overview
4.2 Market Drivers
4.2.1 Digitisation of the BFSI industry
4.2.2 Cost-efficiency in personal finance management
4.2.3 Growing millennial and Gen-Z preference for DIY investing
4.2.4 AI-powered hyper-personalised nudges boost engagement
4.2.5 Embedded robo-advice within payroll/benefits platforms
4.3 Market Restraints
4.3.1 Lack of human touch and empathy
4.3.2 Regulatory and fiduciary uncertainty across regions
4.3.3 Algorithmic-bias risk creating compliance liabilities
4.4 Industry Value Chain Analysis
4.5 Regulatory Landscape
4.6 Technological Outlook
4.7 Industry Attractiveness – Porter’s Five Forces Analysis
4.7.1 Bargaining Power of Suppliers
4.7.2 Bargaining Power of Buyers
4.7.3 Threat of New Entrants
4.7.4 Threat of Substitute Products
4.7.5 Intensity of Competitive Rivalry
4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUES)
5.1 By Business Model
5.1.1 Pure Robo-advisor
5.1.2 Hybrid Robo-advisor
5.2 By Service Type
5.2.1 Investment Advisory
5.2.2 Wealth Management
5.2.3 Retirement Planning
5.2.4 Tax-loss Harvesting
5.2.5 Goal-based Planning
5.3 By Provider Type
5.3.1 FinTech Firms
5.3.2 Banks and Credit Unions
5.3.3 Traditional Wealth Managers/Broker-Dealers
5.4 By End-user
5.4.1 Retail Investors
5.4.2 High-Net-Worth Individuals (HNWI)
5.4.3 SMEs and Corporate Treasuries
5.5 By Geography
5.5.1 North America
5.5.1.1 United States
5.5.1.2 Canada
5.5.1.3 Mexico
5.5.2 South America
5.5.2.1 Brazil
5.5.2.2 Argentina
5.5.2.3 Chile
5.5.2.4 Rest of South America
5.5.3 Europe
5.5.3.1 Germany
5.5.3.2 United Kingdom
5.5.3.3 France
5.5.3.4 Italy
5.5.3.5 Spain
5.5.3.6 Russia
5.5.3.7 Rest of Europe
5.5.4 Asia-Pacific
5.5.4.1 China
5.5.4.2 India
5.5.4.3 Japan
5.5.4.4 South Korea
5.5.4.5 Singapore
5.5.4.6 Malaysia
5.5.4.7 Australia
5.5.4.8 Rest of Asia-Pacific
5.5.5 Middle East and Africa
5.5.5.1 Middle East
5.5.5.1.1 Saudi Arabia
5.5.5.1.2 Turkey
5.5.5.1.3 Israel
5.5.5.1.4 Rest of Middle East
5.5.5.2 Africa
5.5.5.2.1 South Africa
5.5.5.2.2 Nigeria
5.5.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE
6.1 Market Concentration
6.2 Strategic Moves
6.3 Market Share Analysis
6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
6.4.1 Vanguard Group Inc.
6.4.2 Charles Schwab & Co. Inc. (Intelligent Portfolios)
6.4.3 Empower Advisory Group Inc. (Personal Capital)
6.4.4 Betterment LLC
6.4.5 Wealthfront Corporation
6.4.6 BlackRock Inc. (FutureAdvisor)
6.4.7 FMR LLC (Fidelity Go)
6.4.8 M1 Holdings Inc. (M1 Finance)
6.4.9 Acorns Grow Inc.
6.4.10 Stash Financial Inc.
6.4.11 Robinhood Advisory LLC (Robinhood Portfolio)
6.4.12 Ellevest Inc.
6.4.13 SigFig Wealth Management LLC
6.4.14 SoFi Technologies Inc. (SoFi Invest)
6.4.15 Nutmeg Saving & Investment Ltd.
6.4.16 Scalable Capital GmbH
6.4.17 Raisin DS GmbH (WeltSparen Invest)
6.4.18 Bambu Global Pte Ltd.
6.4.19 Wahed Invest LLC
6.4.20 Syfe Pte Ltd.
6.4.21 Stockspot Pty Ltd.
6.4.22 Groww (Nextbillion Technology Pvt Ltd.)
6.4.23 Freetrade Ltd.
6.4.24 SmartWealth (Emirates NBD)
6.4.25 Revolut Ltd (Wealth & Trading)

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK
7.1 White-space and Unmet-need Assessment

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