The global market for Artificial Intelligence (AI) in Asset Management was valued at US$4.3 Billion in 2024 and is projected to reach US$14.1 Billion by 2030, growing at a CAGR of 22% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.
The application of generative AI in asset management is revolutionizing the field by streamlining complex tasks with unprecedented efficiency. For instance, generative AI significantly enhances field operations by automating the creation of detailed work instructions, which are crucial for technicians and maintenance planners. This automation not only delivers necessary operational details but also integrates visual analytics to improve execution, thereby enhancing field service uptime and the rate of first-time fixes. Moreover, generative AI revolutionizes work order planning by autonomously generating comprehensive work plans that cover all necessary instructions, tools, and parts. This capability not only increases planning efficiency but also elevates maintenance standards and compliance, improving the overall reliability and reducing failure rates of assets.
The burgeoning integration of AI in asset management also necessitates addressing regulatory and ethical considerations, ensuring transparency and fairness in AI-driven decisions. As AI technologies become entrenched, asset managers must acquire new skills related to data science and AI to stay relevant and effective. The narrative around AI in asset management emphasizes empowerment and innovation, positioning firms that embrace these technologies for success in a digital and data-driven market. The future of asset management relies on merging AI with human insights, creating a collaborative environment that enhances analytical capabilities and decision-making processes. As the industry continues to evolve, the role of AI will only grow, marking an era of enhanced productivity and innovation in asset management.
Global Artificial Intelligence (AI) in Asset Management Market - Key Trends and Drivers Summarized
Artificial Intelligence (AI) is profoundly transforming the asset management industry, offering capabilities that automate routine tasks and augment human decision-making processes. Once viewed skeptically by financial professionals, AI technologies are now widely acknowledged for their potential to enhance rather than replace human capabilities. In asset management, AI is instrumental in automating manual and repetitive tasks, allowing fund managers and firms to concentrate on strategic initiatives that drive value. AI's advanced data analysis capabilities are pivotal in identifying investment opportunities and assessing risks, even in volatile markets. This technology's integration extends to essential operations such as investment research, risk management, and fraud detection, where traditional methods fall short due to the scale and rapidity of data flow.The application of generative AI in asset management is revolutionizing the field by streamlining complex tasks with unprecedented efficiency. For instance, generative AI significantly enhances field operations by automating the creation of detailed work instructions, which are crucial for technicians and maintenance planners. This automation not only delivers necessary operational details but also integrates visual analytics to improve execution, thereby enhancing field service uptime and the rate of first-time fixes. Moreover, generative AI revolutionizes work order planning by autonomously generating comprehensive work plans that cover all necessary instructions, tools, and parts. This capability not only increases planning efficiency but also elevates maintenance standards and compliance, improving the overall reliability and reducing failure rates of assets.
The burgeoning integration of AI in asset management also necessitates addressing regulatory and ethical considerations, ensuring transparency and fairness in AI-driven decisions. As AI technologies become entrenched, asset managers must acquire new skills related to data science and AI to stay relevant and effective. The narrative around AI in asset management emphasizes empowerment and innovation, positioning firms that embrace these technologies for success in a digital and data-driven market. The future of asset management relies on merging AI with human insights, creating a collaborative environment that enhances analytical capabilities and decision-making processes. As the industry continues to evolve, the role of AI will only grow, marking an era of enhanced productivity and innovation in asset management.
Report Scope
The report analyzes the Artificial Intelligence (AI) in Asset Management market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.Segments
Technology (Machine Learning, Natural Language Processing (NLP), Other Technologies); Application (Process Automation, Portfolio Optimization, Data Analysis, Risk & Compliance, Conversational Platform, Other Applications).Geographic Regions/Countries
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.Key Insights:
- Market Growth: Understand the significant growth trajectory of the Machine Learning Technology segment, which is expected to reach US$7.9 Billion by 2030 with a CAGR of a 18.4%. The Natural Language Processing (NLP) Technology segment is also set to grow at 28.4% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, valued at $1.2 Billion in 2024, and China, forecasted to grow at an impressive 21% CAGR to reach $2.2 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of major players such as Axyon AI, BlackRock, Inc, Deloitte Touche Tohmatsu Ltd., Ernst & Young Global Limited, Infosys BPM Ltd. and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Artificial Intelligence (AI) in Asset Management Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Artificial Intelligence (AI) in Asset Management Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Artificial Intelligence (AI) in Asset Management Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Some of the 23 major companies featured in this Artificial Intelligence (AI) in Asset Management market report include:
- Axyon AI
- BlackRock, Inc
- Deloitte Touche Tohmatsu Ltd.
- Ernst & Young Global Limited
- Infosys BPM Ltd.
- Radiant RFID
- Refinitiv
- Squirro
- Tableau Software, Inc.
- XAI Asset Management
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIII. MARKET ANALYSISREST OF WORLDIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
UNITED STATES
CANADA
JAPAN
CHINA
EUROPE
FRANCE
GERMANY
ITALY
UNITED KINGDOM
REST OF EUROPE
ASIA-PACIFIC
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Axyon AI
- BlackRock, Inc
- Deloitte Touche Tohmatsu Ltd.
- Ernst & Young Global Limited
- Infosys BPM Ltd.
- Radiant RFID
- Refinitiv
- Squirro
- Tableau Software, Inc.
- XAI Asset Management
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 210 |
| Published | February 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 4.3 Billion |
| Forecasted Market Value ( USD | $ 14.1 Billion |
| Compound Annual Growth Rate | 22.0% |
| Regions Covered | Global |
