デフォルト表紙
市場調査レポート
商品コード
1743317

資産管理向けAIの市場規模、シェア、成長分析:技術別、展開モデル別、アプリケーション別、最終用途別、地域別 - 産業予測、2025-2032年

AI In Asset Management Market Size, Share, and Growth Analysis, By Technology (Machine Learning (ML), Natural Language Processing (NLP)), By Deployment Model (On-premises, Cloud-based), By Application, By End Use, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 195 Pages
納期
3~5営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.08円
資産管理向けAIの市場規模、シェア、成長分析:技術別、展開モデル別、アプリケーション別、最終用途別、地域別 - 産業予測、2025-2032年
出版日: 2025年06月03日
発行: SkyQuest
ページ情報: 英文 195 Pages
納期: 3~5営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 目次
概要

資産管理向けAIの世界市場規模は2023年に693億米ドルと評価され、2024年の883億6,000万米ドルから2032年には6,170億6,000万米ドルに成長し、予測期間(2025-2032年)のCAGRで27.5%の成長が予測されています。

世界の資産管理向けAI市場は、投資意思決定に革命をもたらす予測分析に対する需要の高まりによって大きく後押しされています。従来の資産運用は、過去のデータや人間の直感に頼っていたため、大規模なデータセットや市場のボラティリティの解釈に苦労していました。AIテクノロジーは、機械学習を活用して膨大なデータを分析し、パターンを識別し、実用的な洞察を提供することで、フォーカスをリアクティブなものからプロアクティブなものへとシフトさせる。さらに、自然言語処理(NLP)の統合は、ニュースやソーシャルメディアなどのさまざまなデータソースから貴重な情報を抽出することで、センチメント分析を強化します。この機能により、資産マネージャーは投資家のセンチメントを測定し、取引戦略を洗練させ、リスク評価とポートフォリオ全体のパフォーマンスを向上させることができます。効率性と正確性がますます不可欠になるにつれ、業界ではAIツールの導入が加速しています。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次と一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析

資産管理向けAIの市場規模:技術別、CAGR(2025-2032年)

  • 市場概要
  • 機械学習(ML)
  • 自然言語処理(NLP)

資産管理向けAIの市場規模:展開モデル別、CAGR(2025-2032年)

  • 市場概要
  • オンプレミス
  • クラウドベース

資産管理向けAIの市場規模:アプリケーション別、CAGR(2025-2032年)

  • 市場概要
  • ポートフォリオ最適化
  • 会話型プラットフォーム
  • リスク・コンプライアンス
  • データ分析
  • プロセス自動化
  • その他

資産管理向けAIの市場規模:最終用途別、CAGR(2025-2032年)

  • 市場概要
  • BFSI
  • 小売・eコマース
  • ヘルスケア
  • エネルギー・ユーティリティ
  • 製造
  • 輸送・物流
  • メディア・エンターテインメント
  • その他

資産管理向けAIの市場規模:地域別、CAGR(2025-2032年)

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 最近の市場動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 企業の詳細
    • 製品ポートフォリオ分析
    • 企業のセグメント別シェア分析
    • 収益の前年比比較(2022-2024年)

主要企業プロファイル

  • BlackRock(USA)
  • JPMorgan Chase & Co.(USA)
  • Morgan Stanley(USA)
  • Goldman Sachs Group Inc.(USA)
  • Russell Investments(USA)
  • Fidelity Investments(USA)
  • Charles Schwab Corporation(USA)
  • Vanguard Group(USA)
  • TIFIN(USA)
  • Axyon AI(Italy)
  • Wipro Limited(India)
  • Salesforce(USA)
  • IBM(USA)
  • Microsoft(USA)
  • AlphaSense(USA)
  • Bloomberg L.P.(USA)
  • Itransition(USA)
  • Biz4Group(USA)

結論と提言

目次
Product Code: SQMIG40K2001

Global AI In Asset Management Market size was valued at USD 69.3 billion in 2023 and is poised to grow from USD 88.36 billion in 2024 to USD 617.06 billion by 2032, growing at a CAGR of 27.5% during the forecast period (2025-2032).

The global AI in asset management market is significantly propelled by the heightened demand for predictive analytics, revolutionizing investment decision-making. Traditional asset management practices struggle with interpreting large datasets and market volatility due to their reliance on historical data and human intuition. AI technologies utilize machine learning to analyze extensive data, discern patterns, and deliver actionable insights, shifting the focus from reactive to proactive management. Furthermore, the integration of Natural Language Processing (NLP) enhances sentiment analysis by extracting valuable information from various data sources, such as news and social media. This capability allows asset managers to gauge investor sentiment and refine trading strategies, improving risk assessment and overall portfolio performance. As efficiency and accuracy become increasingly essential, the adoption of AI tools is set to accelerate within the industry.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global AI In Asset Management market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global AI In Asset Management Market Segments Analysis

Global AI In Asset Management Market is segmented by Technology, Deployment Model, Application, End Use and region. Based on Technology, the market is segmented into Machine Learning (ML) and Natural Language Processing (NLP). Based on Deployment Model, the market is segmented into On-premises and Cloud-based. Based on Application, the market is segmented into Portfolio optimization, Conversational platform, Risk & compliance, Data analysis, Process automation and Others. Based on End Use, the market is segmented into BFSI, Retail and e-commerce, Healthcare, Energy and utilities, Manufacturing, Transportation & logistics, Media & Entertainment and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global AI In Asset Management Market

The global AI in asset management market is significantly driven by the growing dependence on AI-powered investment strategies. By utilizing big data and predictive analytics, AI streamlines portfolio optimization, risk assessment, and trading efficiency. This technological advancement is being embraced by institutional investors and hedge funds as they seek to automate decision-making processes, enhance accuracy, and ultimately boost returns. As these entities increasingly incorporate AI into their operations, the demand for innovative solutions in asset management is expected to rise, further propelling market growth in this dynamic sector.

Restraints in the Global AI In Asset Management Market

The Global AI in Asset Management market faces significant challenges due to the inherent "black box" nature of AI models used in investment strategies. This lack of transparency complicates the comprehension of decision-making processes for both investors and regulators. Consequently, concerns surrounding accountability, trust, and regulatory acceptance emerge, hindering the widespread adoption of these technologies, particularly within tightly regulated financial markets. As stakeholders grapple with these issues, the pace of integration for AI tools in asset management may slow, posing a restraint to the market's growth and innovation potential.

Market Trends of the Global AI In Asset Management Market

The global AI in asset management market is experiencing a significant trend towards AI-powered personalization, fundamentally transforming investment strategies. Utilizing advanced machine learning algorithms, the market is increasingly focused on creating customized portfolios based on individual investor behavior, financial aspirations, and risk profiles. Robo-advisors are at the forefront, harnessing AI to provide real-time insights and bespoke strategies, which not only enhance user engagement but also optimize portfolio performance. This evolution is democratizing access to sophisticated wealth management tools for both retail and institutional investors, and as AI technologies continue to advance, hyper-personalized investment solutions are set to dominate the landscape, driving greater efficiency and improved outcomes.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis

Global AI In Asset Management Market Size by Technology & CAGR (2025-2032)

  • Market Overview
  • Machine Learning (ML)
  • Natural Language Processing (NLP)

Global AI In Asset Management Market Size by Deployment Model & CAGR (2025-2032)

  • Market Overview
  • On-premises
  • Cloud-based

Global AI In Asset Management Market Size by Application & CAGR (2025-2032)

  • Market Overview
  • Portfolio optimization
  • Conversational platform
  • Risk & compliance
  • Data analysis
  • Process automation
  • Others

Global AI In Asset Management Market Size by End Use & CAGR (2025-2032)

  • Market Overview
  • BFSI
  • Retail and e-commerce
  • Healthcare
  • Energy and utilities
  • Manufacturing
  • Transportation & logistics
  • Media & Entertainment
  • Others

Global AI In Asset Management Market Size & CAGR (2025-2032)

  • North America (Technology, Deployment Model, Application, End Use)
    • US
    • Canada
  • Europe (Technology, Deployment Model, Application, End Use)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Technology, Deployment Model, Application, End Use)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Technology, Deployment Model, Application, End Use)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Technology, Deployment Model, Application, End Use)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • BlackRock (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • JPMorgan Chase & Co. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Morgan Stanley (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Goldman Sachs Group Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Russell Investments (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Fidelity Investments (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Charles Schwab Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Vanguard Group (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • TIFIN (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Axyon AI (Italy)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Wipro Limited (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Salesforce (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AlphaSense (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Bloomberg L.P. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Itransition (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Biz4Group (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations