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AI-driven Robo-Advisory Market Growth Analysis: How Will Revenue Trend Over The Forecast Period?
The size of the AI-driven robo-advisory market has experienced rapid growth in recent years. It is projected to increase from $6.6 billion in 2025 to $9.77 billion in 2026, achieving a compound annual growth rate (CAGR) of 47.9%. This historical expansion can be attributed to the proliferation of online investment platforms, the broadening of digital banking services, the increasing adoption of fintech solutions, a rising demand for low-cost advisory services, and enhanced smartphone usage.
The AI-driven robo-advisory market size is set to experience significant expansion in the coming years. It is projected to reach $46.34 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 47.6%. This anticipated growth is spurred by the integration of advanced AI analytics, the proliferation of personalized finance tools, the adoption of real-time financial insights, an increase in retail investor participation, and a rising demand for automated wealth management solutions. Prominent trends for the forecast period include automated portfolio management, personalized investment algorithms, hybrid human-AI advisory models, goal-based financial planning, and real-time risk assessment.
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AI-driven Robo-Advisory Market Development Factors: What’s Supporting Demand?
The expanding reach of smartphone ownership is anticipated to fuel the expansion of the AI-driven robo-advisory market moving forward. Smartphone penetration signifies the proportion of individuals possessing and utilizing smartphones, indicating the pervasive adoption and integration of mobile technology into daily routines. The growing prevalence of smartphones largely stems from enhanced affordability, as advancements in production, competitive pricing, and the availability of budget-friendly models have made these devices accessible to a wider demographic, allowing more individuals to leverage mobile connectivity and digital offerings. Smartphones empower users to engage with AI-driven robo-advisory services from any location at any time, receiving tailored, immediate financial guidance and portfolio oversight. For instance, in February 2024, DataReportal, a Singapore-based digital insights platform, reported that from the start of 2023 to early 2024, Canada’s mobile connections grew by 1.8 million, representing a 4.7% year-over-year increase. Consequently, the rising penetration of smartphones is a key factor propelling the growth of the AI-driven robo-advisory market.
AI-driven Robo-Advisory Market Segment Landscape And Growth Outlook
The AI-driven robo-advisory market covered in this report is segmented –
1) By Type: Pure Robo Advisors, Hybrid Robo Advisors
2) By Service Type: Direct Plan-based Or Goal-based Advisory, Comprehensive Wealth Advisory
3) By Provider: Fintech Robo Advisors, Banks, Traditional Wealth Managers, Other Providers
4) By End User: Retail Investors, High Net Worth Individuals
Subsegments:
1) By Pure Robo Advisors: Direct Plan-Based Advisory, Goal-Based Advisory, Comprehensive Wealth Advisory
2) By Hybrid Robo Advisors: AI-Enhanced Financial Planning, Human-AI Collaborative Advisory, Personalized Investment Solutions with Human Interaction, Goal-Oriented Hybrid Advisory
AI-driven Robo-Advisory Market Transformation Trends: What Innovations Are Driving Change?
Leading companies within the AI-driven robo-advisory market are increasingly adopting a strategic partnership approach to improve technology integration and expand their market presence. A strategic partnership typically denotes a collaborative relationship between two or more organizations that combine their resources, expertise, and efforts to achieve common goals or objectives. As an illustration, in October 2024, Futu Holdings Limited, a China-based tech-driven digital brokerage and wealth-management platform, unveiled ETF-based intelligent robo-advisory services through a collaboration with BlackRock, Inc., for an undisclosed amount. This launch allowed Futu to enhance its advisory offerings by integrating algorithm-driven investment portfolios powered by BlackRock’s strategies, thereby facilitating personalized asset allocation, automatic rebalancing, and global multi-asset exposures via ETFs. The service is currently available in Hong Kong and Singapore and is built upon Futu’s profile-driven risk assessment and portfolio-recommendation algorithm.
AI-driven Robo-Advisory Market Competitive Landscape: Who Leads The Industry?
Major companies operating in the AI-driven robo-advisory market are Fidelity Investments (FMR LLC), The Charles Schwab Corporation, Ally Financial Inc., The Vanguard Group Inc., Social Finance Inc., Betterment LLC, Wealthsimple Inc., M1 Holdings Inc., Seasia Infotech Pvt. Ltd., Wealthfront Corporation, Nutmeg Saving and Investment Limited, Stash Financial Inc., SigFig Wealth Management LLC, Fincite GmbH, Acorns Grow Incorporated, Bambu Global Pte. Ltd., Personal Capital Corporation, Robo-Wealth Co. Ltd., Empirica Soft sp. z o.o., Ginmon Vermögensverwaltung GmbH
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AI-driven Robo-Advisory Market Top Region: Where Does Most Revenue Come From?
North America was the largest region in the AI-driven robo-advisory market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI-driven robo-advisory market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
