AI in Asset Management Market Size, Trends, Shares, and Forecast - 2031
Historic Data: 2021-2023 | Base Year: 2024 | Forecast Period: 2025-2031Coverage: AI in Asset Management Market covers analysis By Deployment (Cloud, On-premises); Application (Portfolio Optimization, Conversational Platform, Risk and Compliance, Data Analysis, Process Automation, Others); Vertical (BFSI, Healthcare, Retail and E-commerce, Media and Entertainment, Automotive, Others) , and Geography (North America, Europe, Asia Pacific, and South and Central America)
- Report Date : Sep 2025
- Report Code : TIPRE00013837
- Category : Technology, Media and Telecommunications
- Status : Upcoming
- Available Report Formats :
- No. of Pages : 150
MARKET INTRODUCTION
Artificial intelligence is integrated with asset management for different purposes, such as customer experience and interfaces, improving operational efficiency, and investment processes. Essential applications of AI to increase operational efficiency involve monitoring, quality checking, and the exception handling of the vast quantity of data on financial instruments.
MARKET DYNAMICS
Adoption of intelligent systems in the data-driven financial sector and changing customer behavior and expectation are some of the major factors driving the growth of AI in the asset management market. Moreover, the implementation of AI for merger and acquisition and adoption of cognitive systems in core banking operations are some of the other factors driving the growth of the AI in the asset management market.
MARKET SCOPE
The "Global AI in Asset Management Market Analysis to 2031" is a specialized and in-depth study of the AI in asset management market with a special focus on the global market trend analysis. The report aims to provide an overview of AI in asset management market with detailed market segmentation by deployment, application, vertical. The global AI in asset management market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading AI in asset management market players and offers key trends and opportunities in the AI in asset management market.
MARKET SEGMENTATION
The global AI in asset management market is segmented on the basis of deployment, application, vertical. On the basis of deployment, the market is segmented as cloud, on-premises. On the basis of application, the market is segmented as portfolio optimization, conversational platform, risk & compliance, data analysis, process automation, others. On the basis of vertical, the market is segmented as BFSI, healthcare, retail & e-commerce, energy & utilities, media & entertainment, automotive, others.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global AI in asset management market based on various segments. It also provides market size and forecast estimates from year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America. The AI in asset management market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.
The report analyzes factors affecting AI in asset management market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the AI in asset management market in these regions.
MARKET PLAYERS
The reports cover key developments in the AI in asset management market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market players from AI in asset management market are anticipated to lucrative growth opportunities in the future with the rising demand for AI in asset management market. Below mentioned is the list of few companies engaged in the AI in asset management market.
The report also includes the profiles of key AI in asset management market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.
- Genpact
- Infosys Limited
- IBM Corporation
- Squirro AG
- Symphony SummitAI
- Brainalyzed Finance GmbH
- Liquidnet Holdings, Inc.
- XAI Asset Management Ltd
- Castle Ridge Asset Management Limited.
- Intel Corporation
The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.
AI in Asset Management Report Scope
| Report Attribute | Details |
|---|---|
| Market size in 2024 | US$ XX million |
| Market Size by 2031 | US$ XX Million |
| Global CAGR (2025 - 2031) | XX% |
| Historical Data | 2021-2023 |
| Forecast period | 2025-2031 |
| Segments Covered |
By Deployment
|
| Regions and Countries Covered | North America
|
| Market leaders and key company profiles |
Market Research & Consulting
- Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
- PEST and SWOT Analysis
- Market Size Value / Volume - Global, Regional, Country
- Industry and Competitive Landscape
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1. Genpact
2. Infosys Limited
3. IBM Corporation
4. Squirro AG
5. Symphony SummitAI
6. Brainalyzed Finance GmbH
7. Liquidnet Holdings, Inc.
8. XAI Asset Management Ltd
9. Castle Ridge Asset Management Limited.
10. Intel Corporation
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