サンプル依頼リスト カート
  • English
市場調査レポート
商品コード
1415811

銀行業における生成AI市場：2024-2030年

Global Generative AI in Banking Market: 2024-2030
出版日: | 発行: Juniper Research Ltd | ページ情報: 英文 | 納期: 即日から翌営業日

価格
価格表記: GBPを日本円(税抜)に換算
本日の銀行送金レート: 1GBP=198.76円
銀行業における生成AI市場：2024-2030年
出版日: 2024年01月23日
発行: Juniper Research Ltd
ページ情報: 英文
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要
主要統計
銀行業における生成AI市場：支出総額 (2024年) 56億米ドル
銀行業における生成AI市場：支出総額 (2030年) 857億米ドル
市場成長率 (2024～2030年) 1,430%
予測期間 2024-2030年

当レポートでは、生成AIの最新動向を活用することで、銀行やその他の金融機関がどのように商品を改革し、どのようにビジネスモデルを運営し、どのように顧客にサービスを提供しているかについての詳細な分析と評価を提供します。当レポートでは、コンプライアンス、顧客サービス、その他の主要な金融サービス機能など、銀行業務における生成AIの16の主要な使用事例を分析し、この新興部門をナビゲートするステークホルダーに非常に価値のあるリソースを提供します。

市場データ・予測

当レポートには、30のテーブルと17,000を超えるデータポイントの予測データ一式へのアクセスが含まれています。指標には以下が含まれます。

  • 生成AIを導入している銀行の総数
  • 生成AIシステムへの支出総額：銀行別
  • 生成AIの導入による銀行のコスト削減総額

これらの指標は、以下の生成AIの使用事例について提供されています。

  • カスタマーサービス
  • ポートフォリオ管理
  • バックオフィスアプリケーション

Juniper ResearchのInteractive Forecast Excelには以下の機能が含まれています。

  • 統計分析：データ期間中の全地域・国について表示される特定の指標を検索できます。グラフは簡単に変更でき、クリップボードへのエクスポートも可能です。
  • 国別データツール：このツールでは、予測期間中のすべての地域と国の指標を見ることができます。検索バーで表示される指標を絞り込むことができます。
  • 国別比較ツール：国を選択し、それぞれを他の特定の国と比較することができます。このツールには、グラフをエクスポートする機能が含まれています。
  • What-if分析：4つのインタラクティブなシナリオを通じて、ユーザーは予測の前提条件と比較することができます。

サンプルビュー

市場動向・予測 (PDFレポート)

目次

第1章 重要ポイント・戦略的推奨事項

  • 重要ポイント
  • 戦略的推奨事項

第2章 市場情勢

  • 定義と範囲
  • 銀行市場
  • 生成AIの情勢
  • 主要動向・推進因子

第3章 ユースケースと課題

  • ユースケースと課題
    • 顧客の獲得
    • 顧客のオンボーディング
    • チャットボット・音声ボット
    • パーソナライズされたマーケティングキャンペーン
    • 支出に関する洞察
    • ダイナミック価格
    • 交渉エンジン
    • トランザクション処理
    • サービシング
    • 非同期サービス
    • 知識・データ管理
    • 投資アドバイス・財務予測
    • ポートフォリオ管理
    • リスク管理・回収
    • 不正行為検出
    • 規制監視・コンプライアンス

第4章 銀行業における生成AI市場：競合リーダーボード

  • 本レポートを読む理由
  • ベンダープロファイル
    • Amazon
    • Amdocs
    • Cognizant
    • Coveo
    • Dataiku
    • EdgeVerve
    • Fujitsu
    • Genpact
    • Google
    • IBM
    • Microsoft
    • Mostly AI
    • OpenAI
    • Oracle
    • Temenos
  • Juniper Researchの競合リーダーボード：評価手法
  • 制限と解釈

第5章 銀行業における生成AI市場：予測

  • 予測：イントロダクション
  • 銀行業における生成AI市場：予測
    • 生成AIへの支出額
    • 生成AIの導入によるコスト削減額
目次
KEY STATISTICS
Total spend by banks on generative AI in 2024:$5.6 billion
Total spend by banks on generative AI in 2030:$85.7 billion
2024 to 2030 market growth:1,430%
Forecast period:2024-2030

Overview

Our “Generative AI in Banking” research suite provides in-depth analysis and evaluation of how banks and other financial institutions are reinventing their products, how their business models operate and how they serve their customers, by leveraging the latest developments within GenAI and artificial intelligence. It includes analysis of 16 key use cases of GenAI within banking, such as for compliance, customer services, and other key financial services capabilities, providing a highly valuable resource for stakeholders navigating this emerging sector.

The suite includes both a data deliverable, sizing the market and providing key forecast data across 60 countries and several different segments, as well as a Market Trends & Strategies document, which gives a complete assessment of the key trends, challenges and recommendations for stakeholders. Collectively, they provide a critical tool for understanding this rapidly emerging market; allowing banks and technology vendors to shape their future strategy.

Key Features

  • Market Dynamics: Insights into key trends and challenges of the expanding use of generative AI within the banking market. It also examines the ramifications and potential risks of banks and financial institutions using more artificial intelligence and machine learning solutions in their operations, which will fundamentally change their business models. The study includes a detailed analysis of 16 separate use cases for GenAI within banking; identifying the solutions that will drive efficiency and create transformation within the highly complex banking space, such as enhancing compliance processes, improving the customer experience and reducing cost. The list includes the following:
    • Asynchronous Servicing
    • Chat and Voice Bots
    • Customer Acquisition
    • Customer Onboarding
    • Dynamic Pricing
    • Fraud Detection
    • Investment Advice and Financial Forecasting
    • Knowledge and Data Management
    • Negotiation Engines
    • Personalised Marketing Campaigns
    • Portfolio Management
    • Regulatory Monitoring and Compliance
    • Risk Management and Collections
    • Servicing
    • Spending Insights
    • Transaction Processing
  • Key Takeaways & Strategic Recommendations: In-depth analysis of key development opportunities and findings within the generative AI in banking market, accompanied by key strategic recommendations for stakeholders.
  • Benchmark Industry Forecasts: The forecasts include the total number of banks deploying generative AI, their total spend on generative AI solutions, and the savings attributable for banks from generative AI deployments. These metrics are split by 3 key use cases: customer service, portfolio management and back-office applications.
  • Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 15 generative AI in banking vendors, via the Juniper Research Competitor Leaderboard:
    • Amazon
    • Amdocs
    • Cognizant
    • Coveo
    • Dataiku
    • Edgeverve
    • Fujitsu
    • Genpact
    • Google
    • IBM
    • Microsoft
    • Mostly AI
    • OpenAI
    • Oracle
    • Temenos

Market Data & Forecasts

The market-leading research suite for the GenAI market includes access to the full set of forecast data of 30 tables and over 17,000 datapoints. Metrics in the research suite include:

  • Total number of banks deploying GenAI
  • Total spend by banks on GenAI systems
  • Total savings attributable to banks from GenAI deployments

These metrics are provided for the following generative AI use cases:

  • Customer service
  • Portfolio management
  • Back-office applications

Juniper Research's Interactive Forecast Excel contains the following functionality:

  • Statistics Analysis: Users benefit from the ability to search for specific metrics, displayed for all regions and countries across the data period. Graphs are easily modified and can be exported to the clipboard.
  • Country Data Tool: This tool lets users look at metrics for all regions and countries in the forecast period. Users can refine the metrics displayed via a search bar.
  • Country Comparison Tool: Users can select countries and compare each of them against other specific countries. The ability to export graphs is included in this tool.
  • What-if Analysis: Here, users can compare forecast metrics against their own assumptions, via four interactive scenarios.

SAMPLE VIEW

Market Trends & Forecasts PDF Report

A comprehensive analysis of the current market landscape, alongside strategic recommendations and a walk-through of the forecasts.

Table of Contents

1. Key Takeaways & Strategic Recommendations

  • 1.1. Key Takeaways
  • 1.2. Strategic Recommendations

2. Market Landscape

  • 2.1. Introduction
  • 2.2. Definitions and Scope
  • 2.3. The Banking Market
  • 2.4. Generative AI Landscape
    • Figure 2.1: Overview of LLM Capabilities
    • Figure 2.2: Share of S&P 500 Companies Mentioning AI in Earnings Calls, 2010-Q2 2023
    • Figure 2.3: Generative AI Value Chain
  • 2.5. Key Trends & Drivers

3. Use Cases & Challenges

  • 3.1. Use Cases and Challenges
    • 3.1.1. Customer Acquisition
    • 3.1.2. Customer Onboarding
    • 3.1.3. Chat and Voice Bots
    • 3.1.4. Personalised Marketing Campaigns
    • 3.1.5. Spending Insights
    • 3.1.6. Dynamic Pricing
    • 3.1.7. Negotiation Engines
    • 3.1.8. Transaction Processing
    • 3.1.9. Servicing
    • 3.1.10. Asynchronous Servicing
    • 3.1.11. Knowledge and Data Management
    • 3.1.12. Investment Advice and Financial Forecasting
    • 3.1.13. Portfolio Management
    • 3.1.14. Risk Management and Collections
    • 3.1.15. Fraud Detection
    • 3.1.16. Regulatory Monitoring and Compliance

4. Generative AI in Banking Competitor Leaderboard

  • 4.1. Why Read This Report?
    • Table 4.1: Juniper Research Competitor Leaderboard: Generative AI in Banking Vendors Included & Product Portfolio
    • Figure 4.2: Juniper Research Competitor Leaderboard for Generative AI in Banking
    • Table 4.3: Juniper Research Competitor Leaderboard: Generative AI in Banking Platform Vendors & Positioning
    • Table 4.4: Juniper Research Competitive Leaderboard Heatmap: Generative AI in Banking Platform Vendors
  • 4.2. Vendor Profiles
    • 4.2.1. Amazon
      • i. Corporate
        • Table 4.5: Amazon's Financial Performance (USD $bn), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.2. Amdocs
      • i. Corporate
        • Table 4.6: Amdocs' Financial Performance (USD $m), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.7: Gen AI Assistant in amAIz Framework
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.3. Cognizant
      • i. Corporate
        • Table 4.8: Cognizant's Financial Performance (USD $bn), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.4. Coveo
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.5. Dataiku
      • i. Corporate
        • Table 4.9: Dataiku's Funding Rounds, 2014-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.10: Dataiku LLM Mesh Overview
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.6. EdgeVerve
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.7. Fujitsu
      • i. Corporate
        • Table 4.11: Fujitsu's Financial Performance (USD $bn), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.12: Fujitsu's Kozuchi AI Platform Overview
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.8. Genpact
      • i. Corporate
        • Table 4.13: Genpact's Financial Performance (USD $bn), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.14: Cora LiveWealth Solution Overview
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.9. Google
      • i. Corporate
        • Table 4.15: Google's Financial Performance (USD $bn), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.16: Generative AI Workflow in Google Vertex AI
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.10. IBM
      • i. Corporate
        • Table 4.17: IBM's Financial Performance (USD $bn), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research Strategic Recommendations and Key Opportunities
    • 4.2.11. Microsoft
      • i. Corporate
        • Table 4.18: Microsoft's Financial Performance (USD $bn), 2020-2023
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.19: Microsoft Copilot Commercial Solutions Overview
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.12. Mostly AI
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.13. OpenAI
      • i. Corporate
        • Table 4.20: OpenAI's Funding Rounds, 2016-2023
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.14. Oracle
      • i. Corporate
        • Table 4.21: Oracle's Financial Performance (USD $bn), 2020-2023
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
    • 4.2.15. Temenos
      • i. Corporate
        • Table 4.22: Temenos' Financial Performance (USD $m), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Strategic Recommendations & Key Development Opportunities
  • 4.3. Juniper Research Competitor Leaderboard Assessment Methodology
  • 4.4. Limitations & Interpretation
    • Table 4.23: Juniper Research Competitor Leaderboard Scoring Criteria - Generative AI in Banking Platforms

5. Generative AI in Banking Market Forecasts

  • 5.1. Forecast Introduction
    • 5.1.1. Methodology & Assumptions
      • Figure 5.1: Generative AI within Banking Forecast Methodology
  • 5.2. Generative AI in Banking Forecasts
    • 5.2.1. Generative AI Spend
      • Figure & Table 5.2: Total Bank Spend on Generative AI Deployments ($m), Split by 8 Key Regions, 2023-2030
      • Table 5.3: Total Bank Spend on Generative AI Deployments ($m), Split by Use Case, 2023-2030
    • 5.2.2. Savings from Generative AI Deployment
      • Figure & Table 5.4: Total Bank Savings from Generative AI Deployments ($m), Split by 8 Key Regions, 2023-2030
      • Table 5.5: Total Bank Savings from Generative AI Deployments ($m), Split by Case, 2023-2030