AI in Asset Management Market

ID: MRFR/ICT/39345-HCR

128 Pages

Aarti Dhapte

September 2025

AI in Asset Management Market Research Report: By Type of Asset (Equities, Fixed Income, Real Estate, Commodities, Digital Assets), By Purpose of AI (Portfolio Optimization, Risk Management, Performance Enhancement, Customer Service, Fraud Detection), By Deployment Model (Cloud-based, On-premises, Hybrid), By Industry Vertical (Financial Services, Insurance, Healthcare, Manufacturing, Retail) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2034

AI in Asset Management Market Infographic

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Summary Table of Contents Segmentation Infographic

1. Market Overview

2. Market Trends

3. Market Segment Insights

4. Key Players and Competitive Insights

5. Industry Developments

6. Market Segmentation

7. Report Scope

8. Market Highlights

9. FAQs

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AI in Asset Management Market Summary

The Global AI in Asset Management Market is poised for substantial growth, expanding from 76.8 USD Billion in 2024 to 1168.3 USD Billion by 2035.

Key Market Trends & Highlights

AI in Asset Management Key Trends and Highlights

The market is projected to grow at a compound annual growth rate of 28.07 percent from 2025 to 2035.
By 2035, the market valuation is expected to reach 1168.3 USD Billion, indicating a robust upward trajectory.
In 2024, the market is valued at 76.8 USD Billion, reflecting the increasing integration of AI technologies in asset management.
Growing adoption of AI technologies due to the need for enhanced decision-making capabilities is a major market driver.

AI in Asset Management Market

CAGR

28.07%

Market Size & Forecast

2024 Market Size	76.8 (USD Billion)
2035 Market Size	1168.3 (USD Billion)
CAGR (2025-2035)	28.07%

Major Players

BlackRock, Vanguard, Fidelity Investments, Goldman Sachs, State Street Corporation, Schroders, Franklin Templeton Investments, J.P. Morgan Asset Management, Allianz Global Investors, Rowe Price, Invesco, Amundi Asset Management, UBS Asset Management, Morgan Stanley Investment Management, Northern Trust Asset Management

AI in Asset Management Market Trends

The Global AI in Asset Management Market is driven by various factors, including increasing adoption of AI technologies, growing demand for personalized investment solutions, and the need for improved risk management. The market is expected to witness significant growth in the coming years due to the increasing availability of data and advancements in AI algorithms.

Key trends in the AI in Asset Management Market include the integration of AI into existing asset management systems, the development of new AI-powered investment strategies, and the use of AI for risk management and compliance. Opportunities in the market include the development of AI-powered solutions for specific asset classes and the expansion of AI into new geographic regions.

The market is highly competitive, with several established players and emerging startups offering AI-powered solutions for asset management. Key players in the market include BlackRock, Vanguard, Fidelity Investments, and Goldman Sachs.

The integration of artificial intelligence in asset management is poised to redefine investment strategies, enhancing decision-making processes and operational efficiencies across the financial sector.

U.S. Securities and Exchange Commission

AI in Asset Management Market Drivers

Market Growth Projections

Growing Demand for Automation

The Global AI in Asset Management Market Industry is experiencing a surge in demand for automation, driven by the need for efficiency and cost reduction. Asset managers are increasingly adopting AI technologies to automate routine tasks such as data entry and reporting. This shift not only enhances operational efficiency but also allows professionals to focus on strategic decision-making. As a result, the market is projected to reach 76.8 USD Billion in 2024, reflecting a growing recognition of AI's potential to streamline processes and improve service delivery in asset management.

Enhanced Data Analytics Capabilities

The Global AI in Asset Management Market Industry benefits from advancements in data analytics, which enable asset managers to derive actionable insights from vast datasets. AI algorithms can analyze historical performance, market trends, and investor behavior, leading to more informed investment strategies. This capability is particularly crucial as the industry faces increasing complexity and volatility. By leveraging AI-driven analytics, firms can enhance their predictive accuracy, thereby improving portfolio performance. The anticipated growth to 1168.3 USD Billion by 2035 underscores the critical role of data analytics in shaping the future of asset management.

Personalization of Investment Strategies

The Global AI in Asset Management Market Industry is witnessing a trend towards the personalization of investment strategies, driven by AI's ability to analyze individual investor preferences and behaviors. By utilizing machine learning algorithms, asset managers can tailor investment portfolios to meet specific client needs, enhancing customer satisfaction and retention. This shift towards personalized services is expected to attract a broader client base, particularly among younger investors who seek customized solutions. The market's growth trajectory suggests that personalization will play a pivotal role in shaping the future landscape of asset management.

Regulatory Compliance and Risk Management

In the Global AI in Asset Management Market Industry, regulatory compliance and risk management are becoming increasingly complex. AI technologies assist firms in navigating these challenges by automating compliance checks and risk assessments. This not only reduces the likelihood of human error but also ensures adherence to evolving regulations. As regulatory scrutiny intensifies, the adoption of AI solutions is likely to become a necessity for asset managers. The projected compound annual growth rate of 28.07% from 2025 to 2035 highlights the growing importance of AI in maintaining compliance and managing risks effectively.

Integration of AI with Blockchain Technology

The integration of AI with blockchain technology is emerging as a transformative force within the Global AI in Asset Management Market Industry. This combination enhances transparency, security, and efficiency in transactions and data management. AI can analyze blockchain data to identify trends and anomalies, while blockchain provides a secure framework for data sharing and storage. This synergy is likely to foster greater trust among investors and streamline operations. As the industry evolves, the collaboration between AI and blockchain may redefine asset management practices, paving the way for innovative solutions.

Market Segment Insights

AI in Asset Management Market Type of Asset Insights

The Global AI in Asset Management Market is segmented by type of asset into equities, fixed income, real estate, commodities, and digital assets. Equities are a type of financial asset that represents ownership in a company.

They are traded on stock exchanges, and their value fluctuates based on the performance of the underlying company.

In 2023, the global equities market was valued at USD 120 trillion and is expected to grow to USD 180 trillion by 2030. Fixed income securities are a type of financial asset that provides a regular stream of income.

They include bonds, annuities, and certificates of deposit. In 2023, the global fixed-income market was valued at USD 150 trillion and is expected to grow to USD 200 trillion by 2030. Real estate is a type of physical asset that includes land, buildings, and other structures.

It is often used as an investment vehicle and its value is based on factors such as location, size, and condition. In 2023, the global real estate market was valued at USD 280 trillion and is expected to grow to USD 400 trillion by 2030. Commodities are raw materials that are used in the production of goods and services.

AI in Asset Management Market Purpose of AI Insights

The Global AI in Asset Management Market is segmented based on Purpose of AI into portfolio optimization, risk management, performance enhancement, customer service, fraud detection.

Among these segments, portfolio optimization held the largest market share of around 23.6% in 2023 and is projected to reach USD 106.3 billion by 2032, growing at a CAGR of 27.2% during the forecast period.

The risk management segment is expected to grow at a CAGR of 26.5% during the forecast period and is projected to reach USD 98.7 billion by 2032.

The performance enhancement segment is estimated to grow at a CAGR of 26.3% during the forecast period while customer service is expected to grow at a CAGR of 26.1% during the forecast period. Fraud detection is expected to grow at a CAGR of 25.9% during the forecast period.

AI in Asset Management Market Deployment Model Insights

The Global AI in Asset Management Market is segmented by deployment model into cloud-based, on-premises, and hybrid. Among these, the cloud-based segment is projected to hold the largest market share during the forecast period.

The growth of this segment can be attributed to the increasing adoption of cloud-based solutions by asset management firms due to their benefits such as scalability, cost-effectiveness, and flexibility.

The cloud-based deployment model allows asset managers to access AI-powered tools and applications from anywhere, at any time, without the need to invest in expensive infrastructure.

The on-premises deployment model is expected to witness a steady growth rate during the forecast period.

AI in Asset Management Market Vertical Insights

The Global AI in Asset Management Market is segmented into various industry verticals, including Financial Services, Insurance, Healthcare, Manufacturing, and Retail. Among these, Financial Services holds the largest market share, contributing significantly to the overall market revenue.

The growing adoption of AI-powered solutions for risk management, fraud detection, and portfolio optimization drives market growth in the Financial Services sector.

The Insurance industry is another prominent segment, leveraging AI for claims processing, underwriting, and customer service, leading to increased efficiency and reduced costs.

Healthcare is also witnessing substantial AI adoption, particularly in medical image analysis, disease diagnosis, and drug discovery.

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Regional Insights

The regional segment of the Global AI in Asset Management Market is expected to exhibit significant growth over the forecast period. In 2023, North America held the largest market share, capturing around 35% of the Global AI in Asset Management Market revenue.

The region's dominance can be attributed to the presence of many asset management firms, as well as the early adoption of AI-based solutions in the financial sector. Europe is expected to be the second-largest market, followed by APAC.

The APAC region is anticipated to witness substantial growth in the coming years, driven by the increasing adoption of AI in the asset management industry in countries such as China, India, and Japan.

South America and MEA are also expected to contribute to the overall growth of Global AI in the Asset Management Market, albeit at a slower pace. These regions represent significant opportunities for growth as the adoption of AI in Asset Management is still in its early stages.

AI in Asset Management Market Regional

Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

Key Players and Competitive Insights

Major players in AI in the Asset Management Market are constantly innovating and developing new solutions to meet the evolving needs of their customers.

Leading AI in Asset Management Market players are investing heavily in research and development to stay ahead of the competition and maintain their market share.

The AI in Asset Management Market development is being driven by several factors, including the increasing adoption of artificial intelligence (AI) in the financial services industry, the growing need for asset managers to improve their investment performance, and the increasing regulatory pressure on asset managers to manage risk.

The AI in Asset Management Market Competitive Landscape is expected to remain competitive in the coming years, with new entrants and established players vying for market share.

BlackRock is a leading provider of investment management, risk management, and advisory services to institutional and retail clients worldwide. The company offers a range of AI in Asset Management Market solutions, including portfolio management, risk management, and data analytics.

BlackRock is committed to innovation and has invested heavily in research and development to develop new AI in Asset Management Market solutions. The company has a strong global presence and a team of experienced professionals who provide clients with the highest level of service.

Vanguard is another leading provider of investment management, risk management, and advisory services to institutional and retail clients worldwide. The company offers a range of AI in Asset Management Market solutions, including portfolio management, risk management, and data analytics.

Vanguard is committed to providing low-cost investment products and services to its clients. The company has a strong global presence and a team of experienced professionals who provide clients with the highest level of service.

Key Companies in the AI in Asset Management Market market include

Industry Developments

Q2 2024: BlackRock launches AI-powered investment platform for institutional clients BlackRock announced the launch of a new AI-driven investment platform designed to help institutional clients optimize portfolio construction and risk management using advanced machine learning algorithms.
Q2 2024: Goldman Sachs partners with Microsoft to develop AI tools for asset management Goldman Sachs entered a strategic partnership with Microsoft to co-develop artificial intelligence tools aimed at enhancing data analytics and decision-making in asset management operations.
Q2 2024: State Street appoints new Chief AI Officer to lead digital transformation in asset management State Street named a Chief AI Officer to spearhead the integration of artificial intelligence across its asset management business, focusing on automation and data-driven investment strategies.
Q3 2024: AI asset management startup Delphia raises $70M Series B to expand data-driven investment platform Delphia, a startup specializing in AI-powered asset management, secured $70 million in Series B funding to accelerate the development of its data-driven investment platform and expand its client base.
Q3 2024: UBS acquires AI fintech firm SigTech to boost quantitative asset management capabilities UBS completed the acquisition of SigTech, a fintech company specializing in AI and quantitative analytics, to enhance its asset management division's technology and data science capabilities.
Q4 2024: J.P. Morgan Asset Management launches AI-powered ESG fund J.P. Morgan Asset Management introduced a new ESG fund that leverages artificial intelligence to analyze environmental, social, and governance data for more effective portfolio selection.
Q4 2024: Amundi and Google Cloud announce partnership to develop AI solutions for asset managers Amundi, Europe's largest asset manager, partnered with Google Cloud to co-develop artificial intelligence solutions aimed at improving investment research and operational efficiency.
Q1 2025: Schroders launches AI-driven fixed income fund targeting institutional investors Schroders unveiled a new fixed income fund that uses proprietary AI models to identify market opportunities and manage risk for institutional clients.
Q1 2025: Franklin Templeton acquires AI startup Canvas to enhance personalized portfolio management Franklin Templeton acquired Canvas, an AI-driven portfolio management startup, to strengthen its capabilities in delivering personalized investment solutions to clients.
Q2 2025: AI asset management platform Quantifeed raises $50M in Series C funding Quantifeed, a provider of AI-powered asset management solutions, raised $50 million in Series C funding to expand its technology platform and accelerate growth in Asia-Pacific markets.
Q2 2025: Fidelity International opens new AI research center in London for asset management innovation Fidelity International inaugurated a dedicated AI research center in London to drive innovation in asset management, focusing on machine learning and data analytics for investment strategies.
Q3 2025: Northern Trust partners with IBM to deploy AI-powered compliance monitoring in asset management Northern Trust announced a partnership with IBM to implement AI-driven compliance monitoring systems across its asset management operations, aiming to enhance regulatory oversight and reduce operational risk.

Future Outlook

AI in Asset Management Market Future Outlook

The AI in Asset Management Market is projected to grow at 28.07% CAGR from 2024 to 2035, driven by advancements in data analytics, automation, and regulatory compliance.

New opportunities lie in:

Develop AI-driven risk assessment tools for enhanced portfolio management.
Leverage machine learning algorithms to optimize asset allocation strategies.
Create personalized investment solutions using AI for retail investors.

By 2035, the market is expected to be a cornerstone of asset management, reflecting substantial growth and innovation.

Market Segmentation

AI in Asset Management Market Regional Outlook

North America
Europe
South America
Asia Pacific
Middle East and Africa

AI in Asset Management Market Vertical Outlook

Financial Services
Insurance
Healthcare
Manufacturing
Retail

AI in Asset Management Market Purpose of AI Outlook

Cloud-based
On-premises
Hybrid

AI in Asset Management Market Type of Asset Outlook

Portfolio Optimization
Risk Management
Performance Enhancement
Customer Service
Fraud Detection

AI in Asset Management Market Deployment Model Outlook

Cloud-based
On-premises
Hybrid

Report Scope

Report Attribute/Metric	Details
Market Size 2024	84.85 (USD Billion)
Market Size 2025	107.69 (USD Billion)
Market Size 2034	920.51 (USD Billion)
Compound Annual Growth Rate (CAGR)	26.92% (2025 - 2034)
Report Coverage	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Base Year	2024
Market Forecast Period	2025 - 2034
Historical Data	2019 - 2023
Market Forecast Units	USD Billion
Key Companies Profiled	State Street Corporation, BlackRock, Schroders, Franklin Templeton Investments, J.P. Morgan Asset Management, Allianz Global Investors, T. Rowe Price, Invesco, Amundi Asset Management, Vanguard, Fidelity Investments, UBS Asset Management, Morgan Stanley Investment Management, Goldman Sachs Asset Management, Northern Trust Asset Management
Segments Covered	Type of Asset, Purpose of AI, Deployment Model, Industry Vertical, Regional
Key Market Opportunities	Automated Portfolio Management Risk Mitigation and Performance Optimization Enhanced Data Analytics Personalized Investment Recommendations Fraud Detection and Compliance
Key Market Dynamics	Increasing data availability Regulatory and compliance concerns Growing demand for personalized investment advice Advancement in machine learning algorithms Integration of AI in Asset Management platforms
Countries Covered	North America, Europe, APAC, South America, MEA

FAQs

What is the market size of the Global AI in the Asset Management Market?

The Global AI in Asset Management Market size was valued at USD 107.69 billion in 2025 and is projected to reach USD 920.51 billion by 2034, exhibiting a CAGR of 26.92% during the forecast period 2025 - 2034.

Which region is expected to dominate the Global AI in the Asset Management Market?

North America is expected to dominate the Global AI Asset Management Market, accounting for a significant market share in 2023. The region's dominance can be attributed to the presence of key market players, technological advancements, and the increasing adoption of AI technologies in the asset management industry.

What are the key applications of AI in Asset Management?

Key applications of AI in Asset Management include portfolio optimization, risk management, fraud detection, and customer service. AI algorithms can analyze large amounts of data to identify patterns and trends, which can help asset managers make better investment decisions and improve operational efficiency.

Who are the key competitors in Global AI in the Asset Management Market?

Key competitors in the Global AI Asset Management Market include IBM, Microsoft, Google, SAP, and Oracle. These companies offer a range of AI-powered solutions and services for asset managers, such as portfolio management platforms, risk analytics tools, and data visualization dashboards.

What are the factors driving the growth of the Global AI in the Asset Management Market?

Factors driving the growth of Global AI in the Asset Management Market include increasing demand for data-driven insights, the need for improved risk management, and regulatory compliance requirements. AI technologies can help asset managers extract valuable insights from data, automate tasks, and improve decision-making processes.

What are the challenges faced by the Global AI in Asset Management Market?

Challenges faced by the Global AI in Asset Management Market include data privacy and security concerns, the need for skilled professionals, and the potential for bias in AI algorithms. It is important for asset managers to address these challenges to ensure the responsible and ethical use of AI technologies.

What is the expected growth rate of the Global AI in the Asset Management Market?

The Global AI in Asset Management Market is expected to grow at a CAGR of 26.92% from 2024 to 2032, driven by the increasing adoption of AI technologies in the asset management industry.

What are the key trends in the Global AI Asset Management Market?

Key trends in the Global AI in Asset Management Market include the integration of AI with other technologies such as cloud computing and blockchain, the development of AI-powered investment strategies, and the increasing use of AI for risk management and compliance.

What are the opportunities in the Global AI Asset Management Market?

Opportunities in the Global AI Asset Management Market include the development of new AI-powered products and services, the expansion of AI into new asset classes, and the growing demand for AI solutions in emerging markets.

What are the challenges in the Global AI Asset Management Market?

Challenges in the Global AI Asset Management Market include the need for skilled professionals, the potential for bias in AI algorithms, and regulatory uncertainty. It is important for asset managers to address these challenges to ensure the responsible and ethical use of AI technologies.

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