2026-2030年全球資產管理人工智慧（AI）市場

預計 2025 年至 2030 年間，全球資產管理領域的人工智慧 (AI) 市場規模將成長至 154.375 億美元，預測期內複合年成長率為 27%。

本報告對全球資產管理領域的人工智慧 (AI) 市場進行了全面分析，包括市場規模和預測、趨勢、成長要素、挑戰以及對約 25 家公司的供應商分析。

本報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。推動該市場發展的因素包括：對高度個人化和客製化服務日益成長的需求、對提高營運效率和最佳化成本的需求、全球數據日益複雜化以及市場波動。

本研究客觀地結合了一手和二手訊息，包括主要行業相關人員的意見。報告內容涵蓋主要公司分析、全面的市場規模數據、區域細分分析以及供應商格局。報告還包含歷史數據和預測數據。

本研究指出，基於代理的人工智慧和自主投資工作流程的興起是未來幾年全球資產管理領域人工智慧（AI）市場成長的關鍵促進因素。此外，資產代幣化、人工智慧驅動的智慧合約的整合、另類數據的民主化以及向處方分析的轉變預計也將產生顯著的市場需求。

目錄

第1章：執行摘要

第2章 Technavio 分析

• 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
• 輸入的重要性及差異化因素
• 干擾因素
• 促進因素和挑戰的影響

第3章 市場狀況

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場的定義
• 市場區隔分析
• 2025年市場規模
• 市場展望，2025-2030年

第5章 市場規模與表現

• 2020-2024年全球資產管理領域人工智慧（AI）市場
• 按部署方式分類的細分市場分析，2020-2024 年
• 基於應用領域的細分市場分析，2020-2024 年
• 2020-2024年基於技術的細分市場分析
• 區域區隔市場分析，2020-2024 年
• 2020-2024年各國細分市場分析

第6章 定性分析

• 地緣政治衝突對全球資產管理人工智慧（AI）市場的影響。

第7章：五力分析

第8章 市場區隔：依部署方式

• 比較：依部署方式
• 現場
• 雲
• 市場機會：依發展階段分類

第9章 市場區隔：依應用

• 比較：透過應用
• BFSI
• 零售與電子商務
• 衛生保健
• 能源公用事業
• 其他
• 市場機會：依應用領域分類

第10章 市場區隔：依技術分類

• 比較：按技術
• 機器學習
• 自然語言處理
• 其他
• 市場機會：依技術分類

第11章 客戶情況

第12章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 英國
  • 德國
  • 法國
  • 義大利
  • 西班牙
  • 荷蘭
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 中東和非洲
  • 沙烏地阿拉伯
  • UAE
  • 南非
  • 埃及
  • 奈及利亞
• 南美洲
  • 巴西
  • 阿根廷
  • 智利
• 市場機會：按地區分類

第13章 促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第14章 競爭格局

• 概述
• 競爭格局
• 混亂局面
• 產業風險

第15章 競爭分析

• 公司簡介
• 公司排名指標
• 企業市場定位
• BlackRock Inc.
• FMR LLC
• Franklin Templeton
• Invesco Ltd.
• JPMorgan Chase and Co.
• London Stock Exchange Group plc
• Morgan Stanley
• Northern Trust Corp.
• Schroders plc
• State Street Corp.
• T. Rowe Price Group Inc.
• The Charles Schwab Corp.
• The Goldman Sachs Group Inc.
• The Vanguard Group Inc.
• UBS Group AG

第16章附錄

The global artificial intelligence (AI) market in asset management is forecasted to grow by USD 15437.5 mn during 2025-2030, accelerating at a CAGR of 27% during the forecast period. The report on the global artificial intelligence (AI) market in asset management provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by accelerated demand for hyper-personalization and customization, necessity for enhanced operational efficiency and cost optimization, growing complexity of global data and market volatility.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global artificial intelligence (AI) market in asset management is segmented as below:

By Deployment

• On-premises
• Cloud

By Application

• BFSI
• Retail and e-commerce
• Healthcare
• Energy and utilities
• Others

By Technology

• Machine learning
• Natural language processing
• Others

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • The Netherlands
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• Middle East and Africa
  • UAE
  • South Africa
  • Egypt
• South America
  • Brazil
  • Argentina
  • Chile
• Rest of World (ROW)

This study identifies the emergence of agentic ai and autonomous investment workflows as one of the prime reasons driving the global artificial intelligence (AI) market in asset management growth during the next few years. Also, integration of asset tokenization and ai-driven smart contracts and shift toward alternative data democratization and prescriptive analytics will lead to sizable demand in the market.

The report on the global artificial intelligence (AI) market in asset management covers the following areas:

• Global artificial intelligence (AI) market in asset management sizing
• Global artificial intelligence (AI) market in asset management forecast
• Global artificial intelligence (AI) market in asset management industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global artificial intelligence (AI) market in asset management vendors that include BlackRock Inc., Broadridge Financial Solutions, FactSet Research Systems Inc., FMR LLC, Franklin Templeton, Invesco Ltd., JPMorgan Chase and Co., London Stock Exchange Group plc, Morgan Stanley, MSCI Inc., Northern Trust Corp., Schroders plc, SimCorp A/S, SS and C Technologies Inc., State Street Corp., T. Rowe Price Group Inc., The Charles Schwab Corp., The Goldman Sachs Group Inc., The Vanguard Group Inc., UBS Group AG. Also, the global artificial intelligence (AI) market in asset management analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global Artificial Intelligence (AI) Market In Asset Management 2020 - 2024
  • Historic Market Size - Data Table on Global Artificial Intelligence (AI) Market In Asset Management 2020 - 2024 ($ million)
• 5.2 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.3 Application segment analysis 2020 - 2024
  • Historic Market Size - Application Segment 2020 - 2024 ($ million)
• 5.4 Technology segment analysis 2020 - 2024
  • Historic Market Size - Technology Segment 2020 - 2024 ($ million)
• 5.5 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.6 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of geopolitical conflict on global artificial intelligence (AI) market in asset management

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Deployment

• 8.1 Market segments
• 8.2 Comparison by Deployment
• 8.3 On-premises - Market size and forecast 2025-2030
• 8.4 Cloud - Market size and forecast 2025-2030
• 8.5 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

9 Market Segmentation by Application

• 9.1 Market segments
• 9.2 Comparison by Application
• 9.3 BFSI - Market size and forecast 2025-2030
• 9.4 Retail and e-commerce - Market size and forecast 2025-2030
• 9.5 Healthcare - Market size and forecast 2025-2030
• 9.6 Energy and utilities - Market size and forecast 2025-2030
• 9.7 Others - Market size and forecast 2025-2030
• 9.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

10 Market Segmentation by Technology

• 10.1 Market segments
• 10.2 Comparison by Technology
• 10.3 Machine learning - Market size and forecast 2025-2030
• 10.4 Natural language processing - Market size and forecast 2025-2030
• 10.5 Others - Market size and forecast 2025-2030
• 10.6 Market opportunity by Technology
  • Market opportunity by Technology ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2025-2030
  • 12.3.1 US - Market size and forecast 2025-2030
  • 12.3.2 Canada - Market size and forecast 2025-2030
  • 12.3.3 Mexico - Market size and forecast 2025-2030
• 12.4 Europe - Market size and forecast 2025-2030
  • 12.4.1 UK - Market size and forecast 2025-2030
  • 12.4.2 Germany - Market size and forecast 2025-2030
  • 12.4.3 France - Market size and forecast 2025-2030
  • 12.4.4 Italy - Market size and forecast 2025-2030
  • 12.4.5 Spain - Market size and forecast 2025-2030
  • 12.4.6 The Netherlands - Market size and forecast 2025-2030
• 12.5 APAC - Market size and forecast 2025-2030
  • 12.5.1 China - Market size and forecast 2025-2030
  • 12.5.2 Japan - Market size and forecast 2025-2030
  • 12.5.3 India - Market size and forecast 2025-2030
  • 12.5.4 South Korea - Market size and forecast 2025-2030
  • 12.5.5 Australia - Market size and forecast 2025-2030
  • 12.5.6 Indonesia - Market size and forecast 2025-2030
• 12.6 Middle East and Africa - Market size and forecast 2025-2030
  • 12.6.1 Saudi Arabia - Market size and forecast 2025-2030
  • 12.6.2 UAE - Market size and forecast 2025-2030
  • 12.6.3 South Africa - Market size and forecast 2025-2030
  • 12.6.4 Egypt - Market size and forecast 2025-2030
  • 12.6.5 Nigeria - Market size and forecast 2025-2030
• 12.7 South America - Market size and forecast 2025-2030
  • 12.7.1 Brazil - Market size and forecast 2025-2030
  • 12.7.2 Argentina - Market size and forecast 2025-2030
  • 12.7.3 Chile - Market size and forecast 2025-2030
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Accelerated demand for hyper-personalization and customization
  • Necessity for enhanced operational efficiency and cost optimization
  • Growing complexity of global data and market volatility
• 13.2 Market challenges
  • Stringent regulatory compliance and global policy fragmentation
  • Data privacy, cybersecurity, and model vulnerability
  • Algorithmic bias, explainability, and ethical fiduciary responsibility
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Emergence of agentic AI and autonomous investment workflows
  • Integration of asset tokenization and AI-driven smart contracts
  • Shift toward alternative data democratization and prescriptive analytics

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 BlackRock Inc.
  • BlackRock Inc. - Overview
  • BlackRock Inc. - Product / Service
  • BlackRock Inc. - Key offerings
  • SWOT
• 15.5 FMR LLC
  • FMR LLC - Overview
  • FMR LLC - Product / Service
  • FMR LLC - Key offerings
  • SWOT
• 15.6 Franklin Templeton
  • Franklin Templeton - Overview
  • Franklin Templeton - Product / Service
  • Franklin Templeton - Key offerings
  • SWOT
• 15.7 Invesco Ltd.
  • Invesco Ltd. - Overview
  • Invesco Ltd. - Product / Service
  • Invesco Ltd. - Key offerings
  • SWOT
• 15.8 JPMorgan Chase and Co.
  • JPMorgan Chase and Co. - Overview
  • JPMorgan Chase and Co. - Business segments
  • JPMorgan Chase and Co. - Key offerings
  • JPMorgan Chase and Co. - Segment focus
  • SWOT
• 15.9 London Stock Exchange Group plc
  • London Stock Exchange Group plc - Overview
  • London Stock Exchange Group plc - Business segments
  • London Stock Exchange Group plc - Key offerings
  • London Stock Exchange Group plc - Segment focus
  • SWOT
• 15.10 Morgan Stanley
  • Morgan Stanley - Overview
  • Morgan Stanley - Business segments
  • Morgan Stanley - Key offerings
  • Morgan Stanley - Segment focus
  • SWOT
• 15.11 Northern Trust Corp.
  • Northern Trust Corp. - Overview
  • Northern Trust Corp. - Business segments
  • Northern Trust Corp. - Key offerings
  • Northern Trust Corp. - Segment focus
  • SWOT
• 15.12 Schroders plc
  • Schroders plc - Overview
  • Schroders plc - Business segments
  • Schroders plc - Key offerings
  • Schroders plc - Segment focus
  • SWOT
• 15.13 State Street Corp.
  • State Street Corp. - Overview
  • State Street Corp. - Business segments
  • State Street Corp. - Key offerings
  • State Street Corp. - Segment focus
  • SWOT
• 15.14 T. Rowe Price Group Inc.
  • T. Rowe Price Group Inc. - Overview
  • T. Rowe Price Group Inc. - Product / Service
  • T. Rowe Price Group Inc. - Key offerings
  • SWOT
• 15.15 The Charles Schwab Corp.
  • The Charles Schwab Corp. - Overview
  • The Charles Schwab Corp. - Business segments
  • The Charles Schwab Corp. - Key news
  • The Charles Schwab Corp. - Key offerings
  • The Charles Schwab Corp. - Segment focus
  • SWOT
• 15.16 The Goldman Sachs Group Inc.
  • The Goldman Sachs Group Inc. - Overview
  • The Goldman Sachs Group Inc. - Business segments
  • The Goldman Sachs Group Inc. - Key news
  • The Goldman Sachs Group Inc. - Key offerings
  • The Goldman Sachs Group Inc. - Segment focus
  • SWOT
• 15.17 The Vanguard Group Inc.
  • The Vanguard Group Inc. - Overview
  • The Vanguard Group Inc. - Product / Service
  • The Vanguard Group Inc. - Key offerings
  • SWOT
• 15.18 UBS Group AG
  • UBS Group AG - Overview
  • UBS Group AG - Business segments
  • UBS Group AG - Key offerings
  • UBS Group AG - Segment focus
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations