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Global Wealth Management Market to reach USD XX trillion by 2027.

Global Wealth Management Market Size study, by Business Model (human advisory, robo advisory, hybrid advisory) Provider (fintech advisors, banks, traditional wealth managers, others) End-user (retail, high net worth individuals (HNIs) and Regional Forecasts 2021-2027

Product Code: ICTICTS-98380792
Publish Date: 2-09-2021
Page: 200

Global Wealth Management Market is valued approximately USD XX trillion in 2020 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2021-2027. Wealth management is an investment advisory service that combines investing and financial advice to meet the demands of high-net-worth individuals. It entails developing plans to attain specific financial objectives over time, retirement planning, accounting and tax services, estate and legal planning, and generally delivering a tailored approach under the wealth services portfolio. These services are often provided to high-net-worth individuals (HNIs) who have a professional wealth manager who makes fund allocation recommendations to the clients. Furthermore, the market for wealth management is anticipated to be hindered by growing demand for Fintech services. Furthermore, due to the rapid adoption of robo-advisor technology among wealth management firms, the rise in demand for operational efficiency and transparency in providing wealth management product lines, and the surge in demand for customized advisory among high-net-worth individuals globally, the global wealth management market is in its developing phase and has a high growth potential. For instance, a research published in 2019 by Ernst & Young Global Limited, a global professional services firm, predicted that FinTech usage will rise from 38 percent to 45 percent in the following three years. With almost 35% increase among mass affluent customers and 41% growth among high-net-worth individuals, this growth will raise wealth segment among mass affluent consumers (HNWI).

The main regions of Asia Pacific, North America, Europe, Latin America, and the Rest of the World are included in the geographical analysis of the worldwide Wealth Management market. North America led the market in 2020, and this wealth management market trend is likely to continue over the forecast period. This is due to the existence of a large number of high-net-worth people and increased rivalry among banks such as UBS, Morgan Stanley, and Bank of America Corporation to provide the best possible service to its clients. In North America, this is a key growth factor for wealth management services. However, Asia-Pacific is anticipated to expand at the fastest CAGR throughout the projection period, as numerous high-net-worth and ultra-high-net-worth people in the area continue to seek wealth management services.
Major market player included in this report are:
Bank of America Corporation
BNP Paribas
Charles Schwab & Co. Inc.
Citigroup Inc.
Credit Suisse Group AG
Goldman Sachs
JP Morgan Chase & Co.
Julius Baer Group
Morgan Stanley
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Mode of Operation offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Business Model:
Human advisory
Robo advisory
Hybrid advisory
By Provider:
Fintech advisors
Traditional wealth managers
By End-user:
High net worth individuals (HNIs)
By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019
Base year – 2020
Forecast period – 2021 to 2027

Target Audience of the Global Wealth Management Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Trillion)
1.2.1. Wealth Management Market, by Region, 2019-2027 (USD Trillion)
1.2.2. Wealth Management Market, by Business Model, 2019-2027 (USD Trillion)
1.2.3. Wealth Management Market, by Provider, 2019-2027 (USD Trillion)
1.2.4. Wealth Management Market, by End-user, 2019-2027 (USD Trillion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Wealth Management Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Wealth Management Market Dynamics
3.1. Wealth Management Market Impact Analysis (2019-2027)
3.1.1. Market Drivers Increasing demand for wealth management business models Emergence of FinTechs Rising demand for alternative investment
3.1.2. Market Challenges Lack of pricing transparency Conflicting regulations across different jurisdictions
3.1.3. Market Opportunities Advancement in technology Untapped potential of developing countries
Chapter 4. Global Wealth Management Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Wealth Management Market, by Business Model
5.1. Market Snapshot
5.2. Global Wealth Management Market by Business Model, Performance – Potential Analysis
5.3. Global Wealth Management Market Estimates & Forecasts by Business Model 2018-2027 (USD Trillion)
5.4. Wealth Management Market, Sub Segment Analysis
5.4.1. Human advisory
5.4.2. Robo advisory
5.4.3. Hybrid advisory
Chapter 6. Global Wealth Management Market, by Provider,
6.1. Market Snapshot
6.2. Global Wealth Management Market by Provider, Performance-Potential Analysis
6.3. Global Wealth Management Market Estimates & Forecasts by Provider, 2018-2027 (USD Trillion)
6.4. Wealth Management Market, Sub Segment Analysis
6.4.1. FinTech Advisors
6.4.2. Banks
6.4.3. Traditional wealth managers
6.4.4. Others
Chapter 7. Global Wealth Management Market, by End-user,
7.1. Market Snapshot
7.2. Global Wealth Management Market by End-user, Performance-Potential Analysis
7.3. Global Wealth Management Market Estimates & Forecasts by End-user, 2018-2027 (USD Trillion)
7.4. Wealth Management Market, Sub Segment Analysis
7.4.1. Retail
7.4.2. High net worth individuals (HNIs)
Chapter 8. Global Wealth Management Market, Regional Analysis
8.1. Wealth Management Market, Regional Market Snapshot
8.2. North America Wealth Management Market
8.2.1. U.S. Wealth Management Market Business Model breakdown estimates & forecasts, 2018-2027 End-user breakdown estimates & forecasts, 2018-2027 Provider breakdown estimates & forecasts, 2018-2027
8.2.2. Canada Wealth Management Market
8.3. Europe Wealth Management Market Snapshot
8.3.1. U.K. Wealth Management Market
8.3.2. Germany Wealth Management Market
8.3.3. France Wealth Management Market
8.3.4. Spain Wealth Management Market
8.3.5. Italy Wealth Management Market
8.3.6. Rest of Europe Wealth Management Market
8.4. Asia-Pacific Wealth Management Market Snapshot
8.4.1. China Wealth Management Market
8.4.2. India Wealth Management Market
8.4.3. Japan Wealth Management Market
8.4.4. Australia Wealth Management Market
8.4.5. South Korea Wealth Management Market
8.4.6. Rest of Asia Pacific Wealth Management Market
8.5. Latin America Wealth Management Market Snapshot
8.5.1. Brazil Wealth Management Market
8.5.2. Mexico Wealth Management Market
8.6. Rest of The World Wealth Management Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Bank of America Corporation Key Information Overview Financial (Subject to Data Availability) Form Summary Recent Developments
9.2.2. BNP Paribas
9.2.3. Charles Schwab & Co. Inc.
9.2.4. Citigroup Inc.
9.2.5. Credit Suisse Group AG
9.2.6. Goldman Sachs
9.2.7. JP Morgan Chase & Co.
9.2.8. Julius Baer Group
9.2.9. Morgan Stanley
9.2.10. UBS
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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