全球资产管理领域生成式人工智慧市场(2025-2029)
市场调查报告书
商品编码
1915608

全球资产管理领域生成式人工智慧市场(2025-2029)

Global Generative AI In Asset Management Market 2025-2029

出版日期: | 出版商: TechNavio | 英文 298 Pages | 订单完成后即时交付

价格
简介目录

全球资产管理领域生成式人工智慧市场预计在 2024-2029 年预测期内将达到 6.897 亿美元,复合年增长率为 23.3%。

本报告对全球资产管理领域的生成式人工智慧市场进行了全面分析,包括市场规模和预测、趋势、成长驱动因素和挑战,以及对约 25 家供应商的分析。

本报告对当前市场状况、最新趋势和驱动因素以及整体市场环境进行了最新分析。市场成长的驱动因素包括:对营运效率和成本降低的需求、底层人工智慧模型的快速发展和应用,以及对高度个人化和改善客户体验日益增长的需求。

本研究采用客观的方法,结合一手和二手讯息,包括来自业界主要参与企业的意见。报告包含全面的市场规模数据、区域細項分析、供应商格局以及对主要企业的分析。报告提供历史数据和预测数据。

市场覆盖范围
基准年 2025
年末 2029
预测期 2025-2029
成长势头 加速度
同比 20.5%
复合年增长率 23.3%
增量 6.897亿美元

该研究指出,领域特定且已调整的模型的普及是未来几年推动全球资产管理领域生成式人工智慧市场成长的关键因素之一。此外,人工智慧辅助驾驶工具的兴起,以及对安全私密混合人工智慧架构日益增长的关注,预计也将创造巨大的市场需求。

目录

第一章执行摘要

第二章 Technavio 分析

  • 对价格敏感度、生命週期、顾客购买篮、采纳率和购买标准的分析
  • 投入与差异化因素的重要性
  • 混淆来源
  • 驱动因素和挑战的影响

第三章 市场情势

  • 市场生态系统
  • 市场特征
  • 价值链分析

第四章 市场规模

  • 市场定义
  • 市场区隔分析
  • 市场规模(2024 年)
  • 市场展望(2024-2029)

第五章五力分析

  • 五力分析概述
  • 买方的议价能力
  • 供应商的议价能力
  • 新进入者的威胁
  • 替代品的威胁
  • 竞争威胁
  • 市场状况

6. 依部署方式进行市场区隔

  • 比较:依部署方式
  • 基于云端的
  • 本地部署
  • 杂交种
  • 按部署方式分類的市场机会

第七章 按应用程式进行市场区隔

  • 比较:按应用
  • 投资组合管理
  • 风险管理
  • 客户参与与个人化
  • 研究与分析
  • 其他的
  • 按应用分類的市场机会

8. 按最终用户分類的市场细分

  • 比较:按最终用户
  • 资产管理公司
  • 银行和金融机构
  • 保险公司
  • 公司
  • 按最终用户分類的市场机会

第九章 客户状况

第十章 区域情势

  • 区域细分
  • 区域比较
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 韩国
    • 澳洲
    • 印尼
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 荷兰
    • 西班牙
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
  • 中东和非洲
    • 南非
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 以色列
    • 土耳其
  • 各区域的市场机会

第十一章:驱动因素、挑战与机会

  • 市场驱动因素
  • 市场挑战
  • 驱动因素和挑战的影响
  • 市场机会

第十二章 竞争格局

  • 概述
  • 竞争格局
  • 令人困惑的局面
  • 产业风险

第十三章 竞争分析

  • 公司简介
  • 企业排名指数
  • 公司市场定位
  • 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.

第十四章附录

简介目录
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