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Artificial Intelligence (AI) in Asset Management Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence (AI) in asset management market size has experienced significant growth in recent years. It is forecast to increase from $5.39 billion in 2025 to $7.1 billion in 2026, achieving a compound annual growth rate (CAGR) of 31.9%. The historical expansion of this market can be attributed to several factors including the rise of digital asset management tools, the growing complexity of investment portfolios, the increased accessibility of financial data, the imperative for minimizing errors in asset tracking, and the adoption of decision-making strategies guided by analytics.
The market for artificial intelligence (AI) in asset management is anticipated to grow significantly in the coming years, reaching a value of $21.82 billion by 2030, with a compound annual growth rate (CAGR) of 32.4%. This expansion during the forecast period is driven by factors such as the increasing adoption of AI-powered financial platforms, a growing need for real-time asset visibility, the rise of algorithmic investment strategies, the integration of AI with blockchain-based assets, and the proliferation of cloud-based asset management solutions. Key trends expected during this period encompass automated asset tracking and monitoring, AI-driven portfolio optimization, predictive asset performance analytics, intelligent risk and compliance automation, and real-time investment decision support.
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Artificial Intelligence (AI) in Asset Management Market Growth Drivers: What Factors Are Accelerating Expansion?
The increasing demand for sophisticated fraud detection tools is anticipated to fuel the expansion of artificial intelligence (AI) within the asset management market moving forward. Fraud detection involves the systematic process of discovering and stopping deceptive activities or conduct within a system or organization. Integrating AI into asset management for this purpose offers enhanced efficiency, improved accuracy, prompt identification of irregularities, continuous real-time oversight, capabilities for analyzing user behavior and transaction trends, and flexibility in adapting to the continually changing financial security environment. For example, in October 2024, the U.S. Department of the Treasury, a U.S.-based government executive agency, reported that its Office of Payment Integrity successfully prevented and recuperated more than US$4 billion in fraudulent and incorrect payments during fiscal year 2024 (a significant increase from US$652.7 million in fiscal year 2023), achieved through improved fraud-detection methods, which included machine-learning AI. Consequently, the growing necessity for sophisticated fraud detection solutions is propelling the advancement of AI in the asset management market.
Artificial Intelligence (AI) in Asset Management Market Segmentation: How Is The Market Structured Across Key Categories?
The artificial intelligence (AI) in asset management market covered in this report is segmented –
1) By Technology: Machine Learning And Deep Learning, Natural Language Processing, Predictive Analytics
2) By Deployment: On-Premise, On-Cloud
3) By Application: Portfolio Optimization, Risk And Compliance, Process Automation, Conversational Platform, Data Analysis, Other Applications
4) By Industry Vertical: Banking, Financial Services, And Insurance (BFSI), Healthcare, Retail And E-Commerce, Media And Entertainment, Energy And Utilities, Automotive, Other Industry Verticals
Subsegments:
1) By Machine Learning And Deep Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks
2) By Natural Language Processing (NLP): Sentiment Analysis, Text Analytics, Chatbots And Virtual Assistants, Language Translation
3) By Predictive Analytics: Time Series Forecasting, Risk Assessment Models, Portfolio Optimization, Market Trend Analysis
Artificial Intelligence (AI) in Asset Management Market Strategic Trends: What Is Defining The Next Phase Of Growth?
Leading companies in the artificial intelligence (AI) in asset management market are developing new products, such as next-generation AI supercomputing services, to gain a competitive advantage. An AI supercomputing service typically refers to a cloud-based or specialized computing offering that provides high-performance computing resources specifically optimized for artificial intelligence (AI) workloads. For instance, in March 2023, NVIDIA Corporation, a US-based technology company, launched DGX Cloud. This service enables businesses to instantly access NVIDIA AI supercomputing across worldwide clouds using a standard web browser. DGX Cloud is an AI-training-as-a-service platform that furnishes enterprise developers with a serverless environment tailored for generative AI. It allows businesses to access their own AI supercomputer through a conventional web browser. Each DGX Cloud instance is equipped with eight NVIDIA 80GB Tensor Core GPUs, providing 640GB of GPU memory per instance.
Artificial Intelligence (AI) in Asset Management Market Competitive Landscape And Leading Companies
Major companies operating in the artificial intelligence (AI) in asset management market are Alphabet Inc.; Microsoft Corporation; JPMorgan Chase & Co.; Amazon Web Services Inc.; International Business Machines Corporation; Deloitte Touche Tohmatsu Ltd.; The Goldman Sachs Group Inc.; UBS Group AG; Salesforce Inc.; FMR LLC; BlackRock Inc.; Infosys Limited; S&P Global Inc.; Franklin Templeton Distributors Inc.; Invesco Ltd.; Genpact LLC; Schroders plc; Man Group Ltd.; Wellington Management Company LLP; Janus Henderson Group Plc; Robeco B.V.; Bridgewater Associates LP; Winton Group Limited; D.E. Shaw & Co.; AQR Capital Management LLC; Renaissance Technologies LLC; Dimensional Fund Advisors LP; Eaton Vance Corp.
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Artificial Intelligence (AI) in Asset Management Market Regional Analysis: Which Region Leads By Revenue?
North America was the largest region in the artificial intelligence (AI) in asset management market in 2025. The regions covered in the artificial intelligence (AI) in asset management market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.