全球資產管理領域生成式人工智慧市場(2025-2029)
市場調查報告書
商品編碼
1915608

全球資產管理領域生成式人工智慧市場(2025-2029)

Global Generative AI In Asset Management Market 2025-2029

出版日期: | 出版商: TechNavio | 英文 298 Pages | 訂單完成後即時交付

價格
簡介目錄

全球資產管理領域生成式人工智慧市場預計在 2024-2029 年預測期內將達到 6.897 億美元,複合年成長率為 23.3%。

本報告對全球資產管理領域的生成式人工智慧市場進行了全面分析,包括市場規模和預測、趨勢、成長促進因素和挑戰,以及對約 25 家供應商的分析。

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。市場成長的促進因素包括:對營運效率和成本降低的需求、底層人工智慧模型的快速發展和應用,以及對高度個人化和改善客戶體驗日益成長的需求。

本研究採用客觀的方法,結合一手和二手訊息,包括來自業界主要參與企業的意見。報告包含全面的市場規模數據、區域細分分析、供應商格局以及對主要企業的分析。報告提供歷史數據和預測數據。

市場覆蓋範圍
基準年 2025
年末 2029
預測期 2025-2029
成長勢頭 加速度
同比 20.5%
複合年成長率 23.3%
增量 6.897億美元

該研究指出,領域特定且已調整的模型的普及是未來幾年推動全球資產管理領域生成式人工智慧市場成長的關鍵因素之一。此外,人工智慧輔助駕駛工具的興起,以及對安全私密混合人工智慧架構日益成長的關注,預計也將創造巨大的市場需求。

目錄

第1章執行摘要

第2章 Technavio 分析

  • 對價格敏感度、生命週期、顧客購買籃、採納率和購買標準的分析
  • 投入與差異化因素的重要性
  • 混淆來源
  • 促進因素和挑戰的影響

第3章 市場情勢

  • 市場生態系統
  • 市場特徵
  • 價值鏈分析

第4章 市場規模

  • 市場定義
  • 市場區隔分析
  • 市場規模(2024 年)
  • 市場展望(2024-2029)

第5章五力分析

  • 五力分析概述
  • 買方的議價能力
  • 供應商的議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭威脅
  • 市場狀況

6. 依部署方式進行市場區隔

  • 比較:依部署方式
  • 基於雲端的
  • 本地部署
  • 混合
  • 按部署方式分類的市場機會

第7章 按應用程式進行市場區隔

  • 比較:按應用
  • 投資組合管理
  • 風險管理
  • 客戶參與與個人化
  • 研究與分析
  • 其他
  • 按應用分類的市場機會

8. 按最終用戶分類的市場細分

  • 比較:按最終用戶
  • 資產管理公司
  • 銀行和金融機構
  • 保險公司
  • 公司
  • 按最終用戶分類的市場機會

第9章 客戶狀況

第10章 區域情勢

  • 區域細分
  • 區域比較
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 韓國
    • 澳洲
    • 印尼
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 荷蘭
    • 西班牙
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
  • 中東和非洲
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 以色列
    • 土耳其
  • 各區域的市場機遇

第11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12章 競爭格局

  • 概述
  • 競爭格局
  • 令人困惑的局面
  • 產業風險

第13章 競爭分析

  • 公司簡介
  • 企業排名指數
  • 公司市場定位
  • Amazon Web Services Inc.
  • Anthropic
  • Baidu Inc.
  • BlackRock Inc.
  • Cohere Inc.
  • FMR LLC
  • The Goldman Sachs Group Inc.
  • Google LLC
  • IBM Corp.
  • JPMorgan Chase and Co.
  • Microsoft Corp.
  • Morgan Stanley
  • NVIDIA Corp.
  • OpenAI
  • The Vanguard Group Inc.

第14章附錄

簡介目錄
Product Code: IRTNTR81002

The global generative AI in asset management market is forecasted to grow by USD 689.7 mn during 2024-2029, accelerating at a CAGR of 23.3% during the forecast period. The report on the global generative AI in asset management market 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 imperative for operational efficiency and cost reduction, rapid advancements and accessibility of foundational AI models, increasing demand for hyper-personalization and enhanced client experience.

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.

Market Scope
Base Year2025
End Year2029
Series Year2025-2029
Growth MomentumAccelerate
YOY 202520.5%
CAGR23.3%
Incremental Value$689.7 mn

Technavio's global generative AI in asset management market is segmented as below:

By Deployment

  • Cloud based
  • On premises
  • Hybrid

By Application

  • Portfolio management
  • Risk management
  • Client engagement and personalization
  • Research and analysis
  • Others

By End-User

  • Asset management firms
  • Banks and financial institutions
  • Insurance companies
  • Corporate firms

Geography

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

This study identifies the proliferation of domain-specific and fine-tuned models as one of the prime reasons driving the global generative AI in asset management market growth during the next few years. Also, ascendancy of AI copilot as augmentation tool and intensified focus on secure, private, and hybrid AI architectures will lead to sizable demand in the market.

The report on the global generative AI in asset management market covers the following areas:

  • Global generative AI in asset management market sizing
  • Global generative AI in asset management market forecast
  • Global generative AI in asset management market 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 generative AI in asset management market vendors that include Adobe Inc., Amazon Web Services Inc., Anthropic, Baidu Inc., BlackRock Inc., Cohere Inc., FMR LLC, Genie AI Ltd., The Goldman Sachs Group Inc., Google LLC, IBM Corp., Inworld AI, JPMorgan Chase and Co., Microsoft Corp., Morgan Stanley, NVIDIA Corp., OpenAI, The Vanguard Group Inc., Wealthfront Corp.. Also, the global generative AI in asset management market 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 End-user
    • 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 2024
  • 4.4 Market outlook: Forecast for 2024-2029

5 Five Forces Analysis

  • 5.1 Five forces summary
    • Five forces analysis - Comparison between 2024 and 2029
  • 5.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2024 and 2029
  • 5.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
  • 5.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2024 and 2029
  • 5.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2024 and 2029
  • 5.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2024 and 2029
  • 5.7 Market condition

6 Market Segmentation by Deployment

  • 6.1 Market segments
  • 6.2 Comparison by Deployment
  • 6.3 Cloud based - Market size and forecast 2024-2029
  • 6.4 On premises - Market size and forecast 2024-2029
  • 6.5 Hybrid - Market size and forecast 2024-2029
  • 6.6 Market opportunity by Deployment
    • Market opportunity by Deployment ($ million)

7 Market Segmentation by Application

  • 7.1 Market segments
  • 7.2 Comparison by Application
  • 7.3 Portfolio management - Market size and forecast 2024-2029
  • 7.4 Risk management - Market size and forecast 2024-2029
  • 7.5 Client engagement and personalization - Market size and forecast 2024-2029
  • 7.6 Research and analysis - Market size and forecast 2024-2029
  • 7.7 Others - Market size and forecast 2024-2029
  • 7.8 Market opportunity by Application
    • Market opportunity by Application ($ million)

8 Market Segmentation by End-user

  • 8.1 Market segments
  • 8.2 Comparison by End-user
  • 8.3 Asset management firms - Market size and forecast 2024-2029
  • 8.4 Banks and financial institutions - Market size and forecast 2024-2029
  • 8.5 Insurance companies - Market size and forecast 2024-2029
  • 8.6 Corporate firms - Market size and forecast 2024-2029
  • 8.7 Market opportunity by End-user
    • Market opportunity by End-user ($ million)

9 Customer Landscape

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

10 Geographic Landscape

  • 10.1 Geographic segmentation
  • 10.2 Geographic comparison
  • 10.3 North America - Market size and forecast 2024-2029
    • 10.3.1 US - Market size and forecast 2024-2029
    • 10.3.2 Canada - Market size and forecast 2024-2029
    • 10.3.3 Mexico - Market size and forecast 2024-2029
  • 10.4 APAC - Market size and forecast 2024-2029
    • 10.4.1 Japan - Market size and forecast 2024-2029
    • 10.4.2 China - Market size and forecast 2024-2029
    • 10.4.3 India - Market size and forecast 2024-2029
    • 10.4.4 South Korea - Market size and forecast 2024-2029
    • 10.4.5 Australia - Market size and forecast 2024-2029
    • 10.4.6 Indonesia - Market size and forecast 2024-2029
  • 10.5 Europe - Market size and forecast 2024-2029
    • 10.5.1 UK - Market size and forecast 2024-2029
    • 10.5.2 Germany - Market size and forecast 2024-2029
    • 10.5.3 France - Market size and forecast 2024-2029
    • 10.5.4 Italy - Market size and forecast 2024-2029
    • 10.5.5 The Netherlands - Market size and forecast 2024-2029
    • 10.5.6 Spain - Market size and forecast 2024-2029
  • 10.6 South America - Market size and forecast 2024-2029
    • 10.6.1 Brazil - Market size and forecast 2024-2029
    • 10.6.2 Argentina - Market size and forecast 2024-2029
    • 10.6.3 Colombia - Market size and forecast 2024-2029
  • 10.7 Middle East and Africa - Market size and forecast 2024-2029
    • 10.7.1 South Africa - Market size and forecast 2024-2029
    • 10.7.2 Saudi Arabia - Market size and forecast 2024-2029
    • 10.7.3 UAE - Market size and forecast 2024-2029
    • 10.7.4 Israel - Market size and forecast 2024-2029
    • 10.7.5 Turkey - Market size and forecast 2024-2029
  • 10.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

11 Drivers, Challenges, and Opportunity

  • 11.1 Market drivers
    • Imperative for operational efficiency and cost reduction
    • Rapid advancements and accessibility of foundational AI models
    • Increasing demand for hyper-personalization and enhanced client experience
  • 11.2 Market challenges
    • Accuracy, reliability, and problem of AI hallucinations
    • Data security, privacy, and confidentiality risks
    • Navigating uncertain and evolving regulatory landscape
  • 11.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2024 and 2029
  • 11.4 Market opportunities
    • Proliferation of domain-specific and fine-tuned models
    • Ascendancy of AI copilot as augmentation tool
    • Intensified focus on secure, private, and hybrid AI architectures

12 Competitive Landscape

  • 12.1 Overview
  • 12.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 12.3 Landscape disruption
    • Overview on factors of disruption
  • 12.4 Industry risks
    • Impact of key risks on business

13 Competitive Analysis

  • 13.1 Companies profiled
    • Companies covered
  • 13.2 Company ranking index
    • Company ranking index
  • 13.3 Market positioning of companies
    • Matrix on companies position and classification
  • 13.4 Amazon Web Services Inc.
    • Amazon Web Services Inc. - Overview
    • Amazon Web Services Inc. - Product / Service
    • Amazon Web Services Inc. - Key news
    • Amazon Web Services Inc. - Key offerings
    • SWOT
  • 13.5 Anthropic
    • Anthropic - Overview
    • Anthropic - Product / Service
    • Anthropic - Key offerings
    • SWOT
  • 13.6 Baidu Inc.
    • Baidu Inc. - Overview
    • Baidu Inc. - Business segments
    • Baidu Inc. - Key offerings
    • Baidu Inc. - Segment focus
    • SWOT
  • 13.7 BlackRock Inc.
    • BlackRock Inc. - Overview
    • BlackRock Inc. - Product / Service
    • BlackRock Inc. - Key news
    • BlackRock Inc. - Key offerings
    • SWOT
  • 13.8 Cohere Inc.
    • Cohere Inc. - Overview
    • Cohere Inc. - Product / Service
    • Cohere Inc. - Key offerings
    • SWOT
  • 13.9 FMR LLC
    • FMR LLC - Overview
    • FMR LLC - Product / Service
    • FMR LLC - Key offerings
    • SWOT
  • 13.10 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
  • 13.11 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key offerings
    • SWOT
  • 13.12 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 13.13 JPMorgan Chase and Co.
    • JPMorgan Chase and Co. - Overview
    • JPMorgan Chase and Co. - Business segments
    • JPMorgan Chase and Co. - Key news
    • JPMorgan Chase and Co. - Key offerings
    • JPMorgan Chase and Co. - Segment focus
    • SWOT
  • 13.14 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 13.15 Morgan Stanley
    • Morgan Stanley - Overview
    • Morgan Stanley - Business segments
    • Morgan Stanley - Key offerings
    • Morgan Stanley - Segment focus
    • SWOT
  • 13.16 NVIDIA Corp.
    • NVIDIA Corp. - Overview
    • NVIDIA Corp. - Business segments
    • NVIDIA Corp. - Key news
    • NVIDIA Corp. - Key offerings
    • NVIDIA Corp. - Segment focus
    • SWOT
  • 13.17 OpenAI
    • OpenAI - Overview
    • OpenAI - Product / Service
    • OpenAI - Key offerings
    • SWOT
  • 13.18 The Vanguard Group Inc.
    • The Vanguard Group Inc. - Overview
    • The Vanguard Group Inc. - Product / Service
    • The Vanguard Group Inc. - Key offerings
    • SWOT

14 Appendix

  • 14.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 14.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 14.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 14.4 Research methodology
    • Research methodology
  • 14.5 Data procurement
    • Information sources
  • 14.6 Data validation
    • Data validation
  • 14.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 14.8 Data synthesis
    • Data synthesis
  • 14.9 360 degree market analysis
    • 360 degree market analysis
  • 14.10 List of abbreviations
    • List of abbreviations