Artificial Intelligence in Asset Management Market: Current Analysis and Forecast (2025-2033)

Global AI in Asset Management Market Size & Forecast

The Global AI in Asset Management Market was valued at USD 4,573.15 million in 2024 and is expected to grow at a strong CAGR of around 24.15% during the forecast period (2025-2033F), driven by the rapid adoption of AI-driven investment and portfolio management solutions.

AI in Asset Management Market Analysis

Artificial Intelligence in Asset Management is the application of emerging technologies like machine learning, natural language processing, and predictive analytics to promote investment in the decision-making process, portfolio management, risk assessment, and operational efficiency.

The market of Artificial Intelligence in Asset Management is expanding because of the evolution of the financial markets and the necessity to make quicker and more exact decisions in investments. Asset managers are embracing AI to effectively process large amounts of financial and other data to enhance the efficiency of portfolio management and risk management. Adoption is also increasing at a rapid pace as the company is pressured to automate to minimize operational expenses, improve compliance, and minimize human error.

Global AI in Asset Management Market Trends

This section discusses the key market trends that are influencing the various segments of the global AI in Asset Management market, as found by our team of research experts.

Increased Collaboration between Asset Managers And Fintech/AI Startups

Enhanced collaboration between asset managers and fintech or AI start-ups will be one of the key trends of the Artificial Intelligence in Asset Management market as conservative companies seek to accelerate the rate of innovation and remain viable in a rapidly evolving financial landscape. Fintech and AI startups allow the asset managers to embrace the best in machine learning, data science, cloud-based environment, and alternative data analytics without necessarily creating them in-house in the long term. The asset management companies can quickly adopt the emerging AI functionalities through partnerships, joint ventures, or acquisitions in their portfolio management, risk modelling, client engagement, and compliance functions. New business models, such as robo-advisory platforms and personalized solutions to investments, are also tested as a result of such partnerships. As the regulatory environment gets more and more complicated and the amount of data grows, collaborations with agile technologies can enable asset managers to get more efficient in their operations, reduce costs, and provide a more responsive and technology-centered approach to investment to clients.

For instance, in November 2025, Franklin Templeton entered into a multi-year strategic partnership with Wand AI to advance the adoption of agentic artificial intelligence across its asset management operations. The collaboration focused on enhancing investment research, portfolio construction, and decision-making capabilities through advanced AI-driven workflows and automation.

AI in Asset Management Industry Segmentation

This section provides an analysis of the key trends in each segment of the global AI in Asset Management market report, along with forecasts at the global, regional, and country levels for 2025-2033.

The Machine Learning Segment Dominates the Global AI in Asset Management Market

Based on the technology category, the market is categorised into Machine Learning (ML), Natural Language Processing (NLP), and Others. Among these, the Machine Learning (ML) segment currently holds the maximum market share since the capacity of analyzing vast historical financial data, identifying patterns, improving core investment process optimization, and automating these processes has established machine learning as the most common technology used by asset managers. However, the Natural Language Processing (NLP) segment is expected to grow fastest in the future, with increasing demand in the processing of unstructured data such as financial news, earnings reports, sentiment analysis, and automated reporting tools that provide more insight into the market.

The Portfolio Optimization Segment Dominates Global AI in Asset Management Market.

Based on the application category, the market is segmented into portfolio optimization, conversational platform, risk & compliance, data analysis, process automation, and others. Among these, the portfolio optimization segment holds the maximum market share due to the intensive use of AI-based tools to maximize investment outcomes, balance the risk-return profile, and efficiently allocate resources across diverse investment portfolios. It has the most popular and commonly used application because of its direct influence on performance and quantifiable returns. However, risk & compliance is expected to grow fastest in the future, as regulators become more controlling and as companies engage more actively in enforcing compliance, identifying outliers, reducing risk exposures, and maintaining solid governance in highly financialized contexts through the implementation of AI.

The Asia-Pacific region is expected to grow fastest in the global AI in Asset Management market

The global artificial intelligence (AI) market in Asset Management will grow most rapidly in the Asia-Pacific region, driven by the rapid digitalization of financial services and the increasing use of sophisticated analytics by asset managers. China, India, Japan, and South Korea are among the countries that have been experiencing increased investment in fintech, AI infrastructure, and cloud technologies. Adoption is further being accelerated by expanding capital markets, an increasing number of retail and institutional investors, and the need to use data in making investment strategies. Also, government programs, growing access to big data, and the availability of upcoming AI startups are contributing to the accelerated adoption of AI-based asset management solutions in the region.

China held a Dominant share of the Asia-Pacific AI in Asset Management Market in 2024

China has the largest market share in the Asia-Pacific AI in Asset Management market, because the country has a powerful state policy on the development of artificial intelligence, high rates of digitalization of the financial sphere, and mass use of data-powered investment platforms. The fintech landscape is well-informed, and the asset managers and financial institutions actively use big data, machine learning, and cloud computing in the country. Also, the existence of large technology companies, substantial investment in AI research, and engagement of more retail and institutional investors have accelerated the adoption of AI in asset management. The regulatory efforts that encourage financial innovation have also enhanced the dominance of China.

AI in Asset Management Industry Competitive Landscape

The global AI in Asset Management market is competitive, with several global and international market players. The key players are adopting different growth strategies to enhance their market presence, such as partnerships, agreements, collaborations, geographical expansions, and mergers and acquisitions.

Top AI in Asset Management Market Companies

Some of the major players in the market are Accenture, Amazon Web Services, Charles Schwab & Co, Genpact, IBM, Infosys, Intel Corporation, Microsoft, S&P Global, and Salesforce.

Recent Developments in AI in the Asset Management Market

• In December 2025, Nomura Holdings announced a strategic partnership with OpenAI to strengthen its asset management capabilities by integrating generative AI technologies. The collaboration aimed to enhance investment research, data analysis, and client solutions by combining OpenAI’s expertise with Nomura’s proprietary and external datasets.

• In July 2025, FNZ entered a five-year strategic partnership with Microsoft to accelerate digital transformation across the wealth management industry, enhancing FNZ’s AI, automation, and cloud capabilities. The collaboration aimed to integrate Microsoft’s advanced AI and cloud technologies into FNZ’s platform to drive innovation, improve operational efficiency, and deliver personalized, intelligent digital wealth solutions to financial institutions and their clients.

Global AI in Asset Management Market Report Coverage

Reasons to Buy the AI in Asset Management Market Report:

• The study includes market sizing and forecasting analysis confirmed by authenticated key industry experts.

• The report briefly reviews overall industry performance at a glance.

• The report covers an in-depth analysis of prominent industry peers, primarily focusing on key business financials, type portfolios, expansion strategies, and recent developments.

• Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.

• The study comprehensively covers the market across different segments.

• Deep dive regional level analysis of the industry.

Customization Options:

The Global AI in Asset Management Market can further be customized as per the requirements or any other market segment. Besides this, UnivDatos understands that you may have your own business needs; hence, feel free to contact us to get a report that completely suits your requirements.