The AI-driven robo-advisory market size has grown exponentially in recent years. It will grow from $6.6 billion in 2025 to $9.77 billion in 2026 at a compound annual growth rate (CAGR) of 47.9%. The growth in the historic period can be attributed to growth of online investment platforms, expansion of digital banking services, rising adoption of fintech solutions, demand for low-cost advisory services, increased smartphone usage.
The AI-driven robo-advisory market size is expected to see exponential growth in the next few years. It will grow to $46.34 billion in 2030 at a compound annual growth rate (CAGR) of 47.6%. The growth in the forecast period can be attributed to integration of advanced AI analytics, expansion of personalized finance tools, adoption of real-time financial insights, growth of retail investor participation, rising demand for automated wealth management. Major trends in the forecast period include automated portfolio management, personalized investment algorithms, hybrid human-AI advisory models, goal-based financial planning, real-time risk assessment.
The rising penetration of smartphones is expected to drive the growth of the AI-driven robo-advisory market in the coming years. Smartphone penetration refers to the proportion of the population that owns and actively uses smartphones, indicating widespread adoption of mobile technology in everyday life. This increase is mainly fueled by improved affordability, as manufacturing advances, competitive pricing, and the availability of budget-friendly models have made smartphones accessible to a larger population, allowing more users to access mobile connectivity and digital services. Smartphones enable users to utilize AI-driven robo-advisory services anytime and anywhere, providing personalized, real-time financial advice and portfolio management. For example, in February 2024, DataReportal, a Singapore-based digital insights platform, reported that Canada’s mobile connections grew by 1.8 million between early 2023 and early 2024, representing a 4.7% year-over-year increase. Therefore, the growing smartphone penetration is fueling the expansion of the AI-driven robo-advisory market.
Major companies operating in the AI-driven robo-advisory market are forming strategic partnerships to improve technology integration and broaden their market presence. A strategic partnership generally refers to a collaborative arrangement between two or more organizations in which they combine resources, expertise, and efforts to pursue shared objectives. For example, in October 2024, Futu Holdings Limited, a China-based technology-driven digital brokerage and wealth-management platform, introduced ETF-based intelligent robo-advisory services in partnership with BlackRock, Inc., for an undisclosed amount. With this launch, Futu sought to enhance its advisory offerings by incorporating algorithm-driven investment portfolios powered by BlackRock’s strategies, enabling personalized asset allocation, automatic rebalancing, and global multi-asset exposure via ETFs. The service is offered in Hong Kong and Singapore and is based on Futu’s profile-driven risk assessment and portfolio recommendation algorithm.
In February 2025, Betterment, a U.S.-based provider of digital investment advisory and wealth-management platforms, acquired the automated investing accounts of Ellevest for an undisclosed amount. Through this acquisition, Betterment seeks to strengthen its position in the robo-advisory market by expanding its customer base with Ellevest’s digital-first users, increasing its scale in automated investing. Ellevest is a U.S.-based robo-advisor established to serve women, offering automated investment portfolios, diversified portfolio solutions, and financial planning tools.
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.
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. The countries covered in the AI-driven robo-advisory market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have indirectly impacted the AI-driven robo-advisory market by increasing costs of data center hardware, cloud infrastructure components, and cybersecurity equipment. North America and Asia-Pacific fintech hubs are most affected by infrastructure-related pricing changes. Higher operational costs have encouraged cloud optimization strategies. Meanwhile, digital-first service delivery and regional cloud investments are supporting platform scalability and reducing reliance on imported hardware systems.
The AI-driven robo-advisory market research report is one of a series of new reports that provides AI-driven robo-advisory market statistics, including AI-driven robo-advisory industry global market size, regional shares, competitors with a AI-driven robo-advisory market share, detailed AI-driven robo-advisory market segments, market trends and opportunities, and any further data you may need to thrive in the AI-driven robo-advisory industry. This AI-driven robo-advisory market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
AI-driven Robo-Advisory is a digital service that assists individuals in managing their money and investments through intelligent computer programs. It offers advice and makes decisions aligned with a person’s financial goals. The service operates automatically, requiring minimal or no human involvement. It is commonly used to save time and lower costs in financial planning.
The primary types of AI-driven robo-advisory include pure robo-advisors and hybrid robo-advisors. Pure robo-advisors are fully automated digital platforms that deliver investment management and financial advice through algorithms without human intervention. They provide services such as direct plan-based or goal-based advisory and comprehensive wealth management. These services are offered by various providers, including fintech robo-advisors, banks, traditional wealth managers, and other entities. The main end users are retail investors and high-net-worth individuals.
The AI-driven robo-advisory market consists of revenues earned by entities by providing services such as portfolio management, financial planning, tax-loss harvesting, cash flow analysis, and budgeting. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-driven robo-advisory market also includes sales of digital wealth management APIs, financial planning software tools, analytics tools, client dashboards, and visualization interfaces. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
The AI-driven robo-advisory market size is expected to see exponential growth in the next few years. It will grow to $46.34 billion in 2030 at a compound annual growth rate (CAGR) of 47.6%. The growth in the forecast period can be attributed to integration of advanced AI analytics, expansion of personalized finance tools, adoption of real-time financial insights, growth of retail investor participation, rising demand for automated wealth management. Major trends in the forecast period include automated portfolio management, personalized investment algorithms, hybrid human-AI advisory models, goal-based financial planning, real-time risk assessment.
The rising penetration of smartphones is expected to drive the growth of the AI-driven robo-advisory market in the coming years. Smartphone penetration refers to the proportion of the population that owns and actively uses smartphones, indicating widespread adoption of mobile technology in everyday life. This increase is mainly fueled by improved affordability, as manufacturing advances, competitive pricing, and the availability of budget-friendly models have made smartphones accessible to a larger population, allowing more users to access mobile connectivity and digital services. Smartphones enable users to utilize AI-driven robo-advisory services anytime and anywhere, providing personalized, real-time financial advice and portfolio management. For example, in February 2024, DataReportal, a Singapore-based digital insights platform, reported that Canada’s mobile connections grew by 1.8 million between early 2023 and early 2024, representing a 4.7% year-over-year increase. Therefore, the growing smartphone penetration is fueling the expansion of the AI-driven robo-advisory market.
Major companies operating in the AI-driven robo-advisory market are forming strategic partnerships to improve technology integration and broaden their market presence. A strategic partnership generally refers to a collaborative arrangement between two or more organizations in which they combine resources, expertise, and efforts to pursue shared objectives. For example, in October 2024, Futu Holdings Limited, a China-based technology-driven digital brokerage and wealth-management platform, introduced ETF-based intelligent robo-advisory services in partnership with BlackRock, Inc., for an undisclosed amount. With this launch, Futu sought to enhance its advisory offerings by incorporating algorithm-driven investment portfolios powered by BlackRock’s strategies, enabling personalized asset allocation, automatic rebalancing, and global multi-asset exposure via ETFs. The service is offered in Hong Kong and Singapore and is based on Futu’s profile-driven risk assessment and portfolio recommendation algorithm.
In February 2025, Betterment, a U.S.-based provider of digital investment advisory and wealth-management platforms, acquired the automated investing accounts of Ellevest for an undisclosed amount. Through this acquisition, Betterment seeks to strengthen its position in the robo-advisory market by expanding its customer base with Ellevest’s digital-first users, increasing its scale in automated investing. Ellevest is a U.S.-based robo-advisor established to serve women, offering automated investment portfolios, diversified portfolio solutions, and financial planning tools.
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.
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. The countries covered in the AI-driven robo-advisory market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have indirectly impacted the AI-driven robo-advisory market by increasing costs of data center hardware, cloud infrastructure components, and cybersecurity equipment. North America and Asia-Pacific fintech hubs are most affected by infrastructure-related pricing changes. Higher operational costs have encouraged cloud optimization strategies. Meanwhile, digital-first service delivery and regional cloud investments are supporting platform scalability and reducing reliance on imported hardware systems.
The AI-driven robo-advisory market research report is one of a series of new reports that provides AI-driven robo-advisory market statistics, including AI-driven robo-advisory industry global market size, regional shares, competitors with a AI-driven robo-advisory market share, detailed AI-driven robo-advisory market segments, market trends and opportunities, and any further data you may need to thrive in the AI-driven robo-advisory industry. This AI-driven robo-advisory market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
AI-driven Robo-Advisory is a digital service that assists individuals in managing their money and investments through intelligent computer programs. It offers advice and makes decisions aligned with a person’s financial goals. The service operates automatically, requiring minimal or no human involvement. It is commonly used to save time and lower costs in financial planning.
The primary types of AI-driven robo-advisory include pure robo-advisors and hybrid robo-advisors. Pure robo-advisors are fully automated digital platforms that deliver investment management and financial advice through algorithms without human intervention. They provide services such as direct plan-based or goal-based advisory and comprehensive wealth management. These services are offered by various providers, including fintech robo-advisors, banks, traditional wealth managers, and other entities. The main end users are retail investors and high-net-worth individuals.
The AI-driven robo-advisory market consists of revenues earned by entities by providing services such as portfolio management, financial planning, tax-loss harvesting, cash flow analysis, and budgeting. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-driven robo-advisory market also includes sales of digital wealth management APIs, financial planning software tools, analytics tools, client dashboards, and visualization interfaces. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. AI-driven Robo-Advisory Market Characteristics
3. AI-driven Robo-Advisory Market Supply Chain Analysis
4. Global AI-driven Robo-Advisory Market Trends and Strategies
5. AI-driven Robo-Advisory Market Analysis of End Use Industries
7. Global AI-driven Robo-Advisory Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global AI-driven Robo-Advisory Total Addressable Market (TAM) Analysis for the Market
9. AI-driven Robo-Advisory Market Segmentation
10. AI-driven Robo-Advisory Market, Industry Metrics by Country
11. AI-driven Robo-Advisory Market Regional and Country Analysis
12. Asia-Pacific AI-driven Robo-Advisory Market
13. China AI-driven Robo-Advisory Market
14. India AI-driven Robo-Advisory Market
15. Japan AI-driven Robo-Advisory Market
16. Australia AI-driven Robo-Advisory Market
17. Indonesia AI-driven Robo-Advisory Market
18. South Korea AI-driven Robo-Advisory Market
19. Taiwan AI-driven Robo-Advisory Market
20. South East Asia AI-driven Robo-Advisory Market
21. Western Europe AI-driven Robo-Advisory Market
22. UK AI-driven Robo-Advisory Market
23. Germany AI-driven Robo-Advisory Market
24. France AI-driven Robo-Advisory Market
25. Italy AI-driven Robo-Advisory Market
26. Spain AI-driven Robo-Advisory Market
27. Eastern Europe AI-driven Robo-Advisory Market
28. Russia AI-driven Robo-Advisory Market
29. North America AI-driven Robo-Advisory Market
30. USA AI-driven Robo-Advisory Market
31. Canada AI-driven Robo-Advisory Market
32. South America AI-driven Robo-Advisory Market
33. Brazil AI-driven Robo-Advisory Market
34. Middle East AI-driven Robo-Advisory Market
35. Africa AI-driven Robo-Advisory Market
37. AI-driven Robo-Advisory Market Competitive Landscape and Company Profiles
38. AI-driven Robo-Advisory Market Other Major and Innovative Companies
41. AI-driven Robo-Advisory Market High Potential Countries, Segments and Strategies
42. Appendix
Executive Summary
AI-driven Robo-Advisory Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses AI-driven robo-advisory market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for AI-driven robo-advisory? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The AI-driven robo-advisory market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Type: Pure Robo Advisors; Hybrid Robo Advisors2) 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 Advisory2) By Hybrid Robo Advisors: AI-Enhanced Financial Planning; Human-AI Collaborative Advisory; Personalized Investment Solutions with Human Interaction; Goal-Oriented Hybrid Advisory
Companies Mentioned: 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
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this AI-driven Robo-Advisory market report include:- 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
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 9.77 Billion |
| Forecasted Market Value ( USD | $ 46.34 Billion |
| Compound Annual Growth Rate | 47.6% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |
