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AI in Financial Planning and Wealth Management Market

AI in Financial Planning and Wealth Management Market Size, Share & Trends Analysis Report By Product (Rule-based Al systems, Machine Learning-based Al systems, Natural Language Processing (NLP) Al systems), By Application, By End-user, By Functionality, By Region, And By Segment Forecasts, 2024-2031

Report ID : 2742 | Published : 2024-09-25 | Pages: 175 | Format: PDF/EXCEL

The AI in Financial Planning and Wealth Management Market Size is valued at USD 17.53 billion in 2023 and is predicted to reach USD 73.34 billion by the year 2031 at a 20.2% CAGR during the forecast period for 2024-2031.

ai in financial planning

AI in the financial planning and wealth management industry has been growing in recent years, although leading wealth managers have been using AI and machine learning for years. As AI technology advances, the way the financial sector operates changes, enabling significant improvements and creating new opportunities for wealth management firms. According to OT, driven by client demand and increased expectations of wealth management services, AI is enabling customization and personalization at scale, targeting improved communication with clients, which is more seamless, value-adding, and real-time.

In addition, AI can help relationship managers in wealth management build stronger relationships with clients, helping them, based on best practices, to become more effective in client acquisition, client development, client activation, and client retention.

Important drivers of this market include the rising adoption of AI-driven robo-advisors, which provide automated, algorithm-based portfolio management advice with minimal human intervention. These platforms offer cost-effective, personalized financial planning to a broader audience, including those previously underserved by traditional financial advisors. Additionally, wealth management firms must comply with a vast array of regulations, which can vary between jurisdictions and evolve. Compliance requirements seek to protect clients' interests, maintain market integrity, and prevent financial crime. AI can help wealth management firms and managers comply with rules and regulations by automating tasks such as identifying suspicious activities, monitoring transactions, and reporting them to regulators. However, AI must be transparent and accountable.

Competitive Landscape

Some Major Key Players In The AI in Financial Planning and Wealth Management Market:

  • Wealthfront
  • Betterment
  • Personal Capital
  • FutureAdvisor
  • SigFig
  • WiseBanyan
  • Nutmeg
  • Acorns
  • Charles Schwab Intelligent Portfolios
  • Vanguard Personal Advisor Services
  • BlackRock
  • Fidelity Go
  • Other Market Players

Market Segmentation:

The AI in Financial Planning and Wealth Management market is segmented on the basis of product, application, end-user, and functionality. As per the product, the market is segmented into rule-based Al systems, machine learning-based Al systems, and natural language processing (NLP) Al systems. By application, the market is segmented into Robo-advisors, Risk assessment and management, Fraud detection and prevention, Customer service and support, personalized financial recommendations, Market analysis and prediction, and Portfolio optimization. Based on end-users, the market is segmented into banks and financial institutions, investment firms and asset managers, insurance companies, individual investors, and customers. The functionality segment includes Data analysis and processing, automated investment management, Cognitive computing and decision-making, Chatbots and virtual assistants, Predictive analytics, and forecasting.

Based On The Product, The Rule-Based Al Systems Segment Accounts For A Major Contributor To The Market.

The Rule-based Al systems category is expected to lead with a major share in the global AI in Financial Planning and Wealth Management market. These systems operate on predefined rules and logic to provide financial advice and manage wealth. They are specifically useful for automating repetitive tasks, such as portfolio rebalancing, tax-loss harvesting, and compliance checks. Rule-based AI systems enhance efficiency and reduce operational costs by eliminating manual interventions. In North America, the adoption of these systems is driven by a mature financial sector and stringent regulatory requirements. At the same time, the Asia Pacific region sees rapid growth due to increasing digitalization and financial inclusion efforts. These systems are crucial for delivering consistent and reliable financial services, thereby improving client satisfaction and trust in AI-driven financial planning solutions.

The Robo-Advisors Segment Witnessed Growth At A Rapid Rate.

The robo-advisors segment is projected to grow rapidly in the global AI in Financial Planning and Wealth Management market owing to automated platforms leveraging AI algorithms to provide significant investment advice and portfolio management with minimal human intervention. Robo-advisors analyze vast amounts of financial data, assess risk tolerance, and offer tailored recommendations, making investment accessible and affordable to a broader audience. Their ability to operate 24/7, coupled with lower fees compared to traditional financial advisors, has fueled their popularity, especially among tech-savvy millennials and cost-conscious investors. As AI technology continues to advance, robo-advisors are expected to become more sophisticated, offering increasingly precise and customized financial planning solutions, thereby driving significant growth in the financial planning and wealth management market.

In The Region, North America's AI In The Financial Planning And Wealth Management Market Holds A Significant Revenue Share.

The North American AI in Financial Planning and Wealth Management market holds a significant revenue share due to several factors. The region boasts advanced technological infrastructure, high adoption rates of AI technologies, and a robust financial sector. The presence of leading financial institutions and wealth management firms drives the demand for AI solutions to enhance customer experiences, optimize investment strategies, and improve operational efficiency. Additionally, regulatory support for technological innovation and a well-established data analytics ecosystem further contribute to market growth. The increasing need for personalized financial advice and the growing adoption of AI-driven tools for risk management, fraud detection, and compliance are key drivers propelling the market's expansion in North America.

AI in Financial Planning and Wealth Management Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 17.53 Bn

Revenue Forecast In 2031

USD 73.34 Bn

Growth Rate CAGR

CAGR of 20.2% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Product, Application, End-User and Functionality

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

WealthFront, Betterment, Personal Capital, FutureAdvisor, SigFig, WiseBanyan, Nutmeg, Acorns, Charles Schwab Intelligent Portfolios, Vanguard Personal Advisor Services, BlackRock, and Fidelity Go.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

 

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Artificial Intelligence in Financial Planning and Wealth Management Market Snapshot

Chapter 4. Global Artificial Intelligence in Financial Planning and Wealth Management Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis
5.1. by Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:

5.2.1. Rule-based AI systems
5.2.2. Machine Learning-based AI systems
5.2.3. Natural Language Processing (NLP) AI systems

Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis
6.1. by Application & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

6.2.1. Robo-advisors
6.2.2. Risk assessment and management
6.2.3. Fraud detection and prevention
6.2.4. Customer service and support
6.2.5. Personalized financial recommendations
6.2.6. Market analysis and prediction
6.2.7. Portfolio optimization

Chapter 7. Market Segmentation 3: by End-User Estimates & Trend Analysis
7.1. by End-User & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End-User:

7.2.1. Banks and financial institutions
7.2.2. Investment firms and asset managers
7.2.3. Insurance companies
7.2.4. Individual investors and customers

Chapter 8. Market Segmentation 4: by Functionality Estimates & Trend Analysis
8.1. by Functionality & Market Share, 2019 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Functionality:

8.2.1. Data analysis and processing
8.2.2. Automated investment management
8.2.3. Cognitive computing and decision-making
8.2.4. Chatbots and virtual assistants
8.2.5. Predictive analytics and forecasting

Chapter 9. Artificial Intelligence in Financial Planning and Wealth Management Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America

9.1.1. North America Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.1.2. North America Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.1.3. North America Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.1.4. North America Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2024-2031
9.1.5. North America Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.2. Europe

9.2.1. Europe Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.2.2. Europe Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.2.3. Europe Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.2.4. Europe Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2024-2031
9.2.5. Europe Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.3. Asia Pacific

9.3.1. Asia Pacific Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.3.2. Asia Pacific Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.3.3. Asia-Pacific Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.3.4. Asia-Pacific Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2024-2031
9.3.5. Asia Pacific Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.4. Latin America

9.4.1. Latin America Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.4.2. Latin America Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.4.3. Latin America Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.4.4. Latin America Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2024-2031
9.4.5. Latin America Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.5. Middle East & Africa

9.5.1. Middle East & Africa Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.5.2. Middle East & Africa Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.5.3. Middle East & Africa Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.5.4. Middle East & Africa Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2024-2031
9.5.5. Middle East & Africa Artificial Intelligence in Financial Planning and Wealth Management Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles

10.2.1. Wealthfront
10.2.2. Betterment
10.2.3. Personal Capital
10.2.4. FutureAdvisor
10.2.5. SigFig
10.2.6. WiseBanyan
10.2.7. Nutmeg
10.2.8. Acorns
10.2.9. Charles Schwab Intelligent Portfolios
10.2.10. Vanguard Personal Advisor Services
10.2.11. BlackRock
10.2.12. Fidelity Go
10.2.13. Other Prominent Players

 

Segmentation of AI in Financial Planning and Wealth Management Market-

AI in Financial Planning and Wealth Management Market By Type-

  • Rule-based Al systems
  • Machine Learning-based Al systems
  • Natural Language Processing (NLP) Al systems

ai in financial planning

AI in Financial Planning and Wealth Management Market By Application-

  • Robo-advisors
  • Risk assessment and management
  • Fraud detection and prevention
  • Customer service and support
  • Personalized financial recommendations
  • Market analysis and prediction
  • Portfolio optimization

AI in Financial Planning and Wealth Management Market By End-user-

  • Banks and financial institutions
  • Investment firms and asset managers
  • Insurance companies
  • Individual investors and customers

AI in Financial Planning and Wealth Management Market By Functionality-

  • Data analysis and processing
  • Automated investment management
  • Cognitive computing and decision-making
  • Chatbots and virtual assistants
  • Predictive analytics and forecasting

AI in Financial Planning and Wealth Management Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

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Frequently Asked Questions

How big is the AI in Financial Planning and Wealth Management Market Size?

The AI in Financial Planning and Wealth Management Market is expected to grow at a 20.2% CAGR during the forecast period for 2024-2031.

WealthFront, Betterment, Personal Capital, FutureAdvisor, SigFig, WiseBanyan, Nutmeg, Acorns, Charles Schwab Intelligent Portfolios, Vanguard Personal

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