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銀行、金融サービス、保険(BFSI)における人工知能(AI)市場規模、シェア、成長分析:コンポーネント別、技術別、アプリケーション別、最終用途別、地域別 - 産業予測 2025~2032年

Artificial Intelligence in Banking, Financial Services, and Insurance Market Size, Share, and Growth Analysis, By Component, By Technology, By Application, By End Use, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 197 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=144.06円
銀行、金融サービス、保険(BFSI)における人工知能(AI)市場規模、シェア、成長分析:コンポーネント別、技術別、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03月13日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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  • 概要
  • 目次
概要

銀行、金融サービス、保険(BFSI)における人工知能(AI)市場規模は、2023年に347億7,000万米ドルと評価され、2024年の431億1,000万米ドルから2032年には2,409億9,000万米ドルに成長し、予測期間(2025年~2032年)のCAGRは24.0%で成長する見通しです。

世界のBFSIセクターは、業務効率と収益性を高めるためにAIソリューションへの投資を増やしています。このような革新的技術への注力は、企業が不正行為を軽減するための高度なリスクコンプライアンス管理ツールを求めていることから、市場の成長を大きく後押しするものと位置付けられています。さらに、AIの導入は、データ主導の意思決定とパーソナライズされた顧客体験を可能にし、市場範囲を拡大します。しかし、導入コストの高さやデータのプライバシーとセキュリティへの懸念といった課題が、BFSI業界におけるAIの普及を妨げる可能性があります。こうした力学が進化する中、市場は2031年以降、人工知能の変革の可能性を活用しながら、こうしたハードルを乗り越えていくと予想されます。

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
  • ケーススタディ
  • 規制情勢
  • 技術の進歩

銀行、金融サービス、保険(BFSI)における人工知能(AI)の世界市場規模:(コンポーネント別) & CAGR(2025-2032)

  • 市場概要
  • ハードウェア
  • ソフトウェア
  • サービス

銀行、金融サービス、保険(BFSI)における人工知能(AI)の世界市場規模:(技術別) & CAGR(2025-2032)

  • 市場概要
  • 機械学習
  • 自然言語処理(NLP)
  • 生成AI
  • コンピュータビジョン
  • その他

銀行、金融サービス、保険(BFSI)における人工知能(AI)の市場規模:(アプリケーション別)& CAGR(2025-2032)

  • 市場概要
  • チャットボット
  • サイバーセキュリティ
  • リスク管理
  • 予測分析
  • データ収集と分析
  • その他

銀行、金融サービス、保険(BFSI)における人工知能(AI)の市場規模:(最終用途別)& CAGR(2025-2032)

  • 市場概要
  • 銀行業務
  • 金融サービス
  • 保険

銀行、金融サービス、保険(BFSI)における人工知能(AI)の世界市場規模:(地域別)& CAGR(2025-2032)

  • 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)

主要企業プロファイル

  • JPMorgan Chase(United States)
  • Capital One(United States)
  • Royal Bank of Canada(Canada)
  • Wells Fargo(United States)
  • UBS(Switzerland)
  • Commonwealth Bank of Australia(Australia)
  • Goldman Sachs(United States)
  • ING Group(Netherlands)
  • Citigroup(United States)
  • DBS Bank(Singapore)
  • HSBC(United Kingdom)
  • Barclays(United Kingdom)
  • BNP Paribas(France)
  • Deutsche Bank(Germany)
  • Morgan Stanley(United States)
  • Bank of America(United States)
  • Societe Generale(France)
  • Standard Chartered(United Kingdom)
  • Santander Bank(Spain)
  • Mizuho Financial Group(Japan)

結論と提言

目次
Product Code: SQMIG40A2020

Artificial Intelligence (AI) in Banking, Financial Services, and Insurance (BFSI) Market size was valued at USD 34.77 billion in 2023 and is poised to grow from USD 43.11 billion in 2024 to USD 240.99 billion by 2032, growing at a CAGR of 24.0% during the forecast period (2025-2032).

The global BFSI sector is increasingly investing in AI solutions to enhance operational efficiency and profitability. This focus on innovative technologies is positioned to significantly drive market growth as companies seek advanced risk and compliance management tools to mitigate fraud. Additionally, the incorporation of AI will enable data-driven decision-making and personalized customer experiences, broadening their market reach. However, challenges such as high implementation costs and data privacy and security concerns may impede the widespread adoption of AI in the BFSI industry. As these dynamics evolve, the market is expected to navigate these hurdles while capitalizing on the transformative potential of artificial intelligence through 2031 and beyond.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (AI) In Banking, Financial Services, And Insurance (BFSI) 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.

Artificial Intelligence (AI) In Banking, Financial Services, And Insurance (BFSI) Market Segments Analysis

Global Artificial Intelligence (AI) in Banking, Financial Services, and Insurance (BFSI) Market is segmented by Component, Technology, Application, End Use and region. Based on Component, the market is segmented into Hardware, Software and Services. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), Generative AI, Computer Vision and Others. Based on Application, the market is segmented into Chatbot, Cyber Security, Risk Management, Predictive Analytics, Data Collection & Analysis and Others. Based on End Use, the market is segmented into Banking, Financial Services and Insurance. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Artificial Intelligence (AI) In Banking, Financial Services, And Insurance (BFSI) Market

The Artificial Intelligence (AI) in Banking, Financial Services, and Insurance (BFSI) sector is driven by the ongoing integration of AI-powered tools and solutions aimed at enhancing user experience. These technologies, including chatbots and digital assistants, are designed to provide customers with exceptional service and 24/7 support. By leveraging AI, organizations can significantly reduce response times and streamline operations, leading to a more satisfying customer experience. As a result, the use of AI in BFSI continues to grow, enabling financial institutions to better meet the evolving needs of their clients while improving overall efficiency and service quality.

Restraints in the Artificial Intelligence (AI) In Banking, Financial Services, And Insurance (BFSI) Market

The integration of artificial intelligence into the existing Banking, Financial Services, and Insurance (BFSI) infrastructure presents significant complexities and challenges. Transitioning from conventional systems to AI-driven technologies involves numerous obstacles, including the intricacies involved in migration, as well as compatibility concerns with existing hardware. These factors are likely to impede the widespread adoption of AI solutions within the BFSI sector in the foreseeable future. As organizations strive to modernize their operations, overcoming these barriers will be crucial in fully realizing the potential benefits of AI in enhancing efficiency and service delivery in the industry.

Market Trends of the Artificial Intelligence (AI) In Banking, Financial Services, And Insurance (BFSI) Market

The integration of Artificial Intelligence (AI) in the Banking, Financial Services, and Insurance (BFSI) sector is shaping a significant market trend focused on personalization. By harnessing data-driven insights, BFSI companies are leveraging AI to tailor financial solutions and services specific to individual customer needs. This strategic deployment not only enhances operational efficiency but also fosters improved customer engagement and satisfaction. As organizations increasingly prioritize personalized experiences, the demand for AI-driven technologies is set to grow, enabling firms to enhance their business scope and refine their service offerings while concurrently navigating the evolving landscape of customer expectations and competitive pressures.

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
  • Case Studies
  • Regulatory Landscape
  • Technology Advancement

Global Artificial Intelligence (AI) in Banking, Financial Services, and Insurance (BFSI) Market Size by Component & CAGR (2025-2032)

  • Market Overview
  • Hardware
  • Software
  • Services

Global Artificial Intelligence (AI) in Banking, Financial Services, and Insurance (BFSI) Market Size by Technology & CAGR (2025-2032)

  • Market Overview
  • Machine Learning
  • Natural Language Processing (NLP)
  • Generative AI
  • Computer Vision
  • Others

Global Artificial Intelligence (AI) in Banking, Financial Services, and Insurance (BFSI) Market Size by Application & CAGR (2025-2032)

  • Market Overview
  • Chatbot
  • Cyber Security
  • Risk Management
  • Predictive Analytics
  • Data Collection & Analysis
  • Others

Global Artificial Intelligence (AI) in Banking, Financial Services, and Insurance (BFSI) Market Size by End Use & CAGR (2025-2032)

  • Market Overview
  • Banking
  • Financial Services
  • Insurance

Global Artificial Intelligence (AI) in Banking, Financial Services, and Insurance (BFSI) Market Size & CAGR (2025-2032)

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

  • JPMorgan Chase (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Capital One (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Royal Bank of Canada (Canada)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Wells Fargo (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • UBS (Switzerland)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Commonwealth Bank of Australia (Australia)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Goldman Sachs (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • ING Group (Netherlands)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Citigroup (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DBS Bank (Singapore)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • HSBC (United Kingdom)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Barclays (United Kingdom)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • BNP Paribas (France)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Deutsche Bank (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Morgan Stanley (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Bank of America (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Societe Generale (France)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Standard Chartered (United Kingdom)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Santander Bank (Spain)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Mizuho Financial Group (Japan)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations