金融におけるデジタルツイン市場-世界の産業規模、シェア、動向、機会、予測、オファリング別、エンドユース産業別、地域別、競合別、2020-2030年

金融におけるデジタルツインの世界市場規模は2024年に11億米ドル、2030年には66億6,000万米ドルに達すると予測され、予測期間中のCAGRは34.80%と堅調な伸びを示します。

金融におけるデジタルツインとは、金融資産、システム、プロセスの動的な仮想レプリカのことで、銀行、保険、投資などの分野にわたってシミュレーション、予測、最適化を可能にします。AI、機械学習、IoT、アナリティクスなどの技術を活用することで、これらのシステムはリスク評価、顧客行動モデリング、不正検知、リアルタイムの意思決定を強化します。デジタルトランスフォーメーションとクラウドインフラによって加速されるインテリジェントな洞察への需要は、金融機関が業務の俊敏性と戦略的な先見性を求めるにつれて、市場の成長を促進しています。

市場促進要因

予測分析とリアルタイムの意思決定に対する需要の高まり

主な市場課題

レガシー金融システムとの統合

主な市場動向

AIを活用した行動モデリングの採用拡大と統合

目次

第1章 概要

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 金融におけるデジタルツイン市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • 提供内容別（プラットフォームとソリューション、サービス）
  • 最終用途産業別（BFSI、製造、運輸・物流、運輸・物流、ヘルスケア）
  • 地域別（北米、欧州、南米、中東・アフリカ、アジア太平洋）
• 企業別（2024）
• 市場マップ

第6章 北米の金融におけるデジタルツイン市場展望

• 市場規模・予測
• 市場シェア・予測
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第7章 欧州の金融におけるデジタルツイン市場展望

• 市場規模・予測
• 市場シェア・予測
• 欧州：国別分析
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • スペイン

第8章 アジア太平洋地域の金融におけるデジタルツイン市場展望

• 市場規模・予測
• 市場シェア・予測
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第9章 中東・アフリカの金融におけるデジタルツイン市場展望

• 市場規模・予測
• 市場シェア・予測
• 中東・アフリカ：国別分析
  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ

第10章 南米の金融におけるデジタルツイン市場展望

• 市場規模・予測
• 市場シェア・予測
• 南米：国別分析
  • ブラジル
  • コロンビア
  • アルゼンチン

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

• 合併と買収
• 製品上市
• 最近の動向

第13章 企業プロファイル

• Microsoft Corporation
• IBM Corporation
• Oracle Corporation
• SAP SE
• Ansys,Inc.
• PTC Inc.
• Siemens Digital Industries Software
• TIBCO Software Inc.
• Accenture plc
• Capgemini SE

第14章 戦略的提言

第15章 調査会社について・免責事項

The Global Digital Twin in Finance Market was valued at USD 1.10 billion in 2024 and is projected to reach USD 6.66 billion by 2030, exhibiting a robust CAGR of 34.80% during the forecast period. Digital twins in finance represent dynamic virtual replicas of financial assets, systems, and processes that enable simulation, prediction, and optimization across sectors such as banking, insurance, and investment. Leveraging technologies like AI, machine learning, IoT, and analytics, these systems enhance risk assessment, customer behavior modeling, fraud detection, and real-time decision-making. The demand for intelligent insights, accelerated by digital transformation and cloud infrastructure, is propelling market growth as financial institutions seek operational agility and strategic foresight.

Key Market Drivers

Rising Demand for Predictive Analytics and Real-Time Decision Making

The increasing need for predictive insights and swift decision-making is a major factor fueling the growth of the Digital Twin in Finance Market. Faced with growing complexity and regulatory requirements, financial institutions turn to digital twins for real-time data analysis, enabling them to simulate scenarios, identify risks, and forecast outcomes more accurately. These virtual environments replicate data streams from operations, markets, and customers, allowing financial firms to evaluate the impact of various factors on portfolios, customer behavior, and risk exposure. This predictive capability improves planning and strategy refinement, offering firms a competitive edge and reducing operational risks, thereby driving adoption across the sector.

Key Market Challenges

Integration with Legacy Financial Systems

A significant obstacle to the widespread adoption of digital twins in finance is the difficulty of integrating them with entrenched legacy systems. Financial institutions often operate on outdated infrastructure lacking real-time processing capabilities and interoperability, which are essential for digital twin functionality. The absence of standardized APIs and communication protocols further complicates integration. Additionally, concerns over operational disruption, regulatory compliance, and the costs of overhauling legacy systems deter institutions from modernization. As a result, the full potential of digital twin solutions remains underutilized in organizations that cannot commit to large-scale system upgrades or transformations.

Key Market Trends

Integration of Growing Adoption of AI-Powered Behavioral Modeling

An emerging trend in the Digital Twin in Finance Market is the implementation of AI-driven behavioral modeling. These intelligent digital twins extend beyond numerical simulations to include customer behavior, sentiment, and transactional patterns. By harnessing machine learning and big data, financial institutions can continuously refine forecasts and deliver hyper-personalized services. This evolution enables banks and financial firms to proactively address customer needs, adapt to regulatory shifts, and optimize performance with unprecedented precision. The growing sophistication of behavioral modeling marks a shift from static analysis to responsive, behaviorally intelligent financial ecosystems.

Key Market Players

• Microsoft Corporation
• IBM Corporation
• Oracle Corporation
• SAP SE
• Ansys, Inc.
• PTC Inc.
• Siemens Digital Industries Software
• TIBCO Software Inc.
• Accenture plc
• Capgemini SE

Report Scope:

In this report, the Digital Twin in Finance Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Digital Twin in Finance Market, By Offering:

• Platforms & Solutions
• Services

Digital Twin in Finance Market, By End-Use Industry:

• BFSI
• Manufacturing
• Transportation & Logistics
• Healthcare

Digital Twin in Finance Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Digital Twin in Finance Market.

Available Customizations:

Digital Twin in Finance Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Digital Twin in Finance Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Offering (Platforms & Solutions, Services)
  • 5.2.2. By End-Use Industry (BFSI, Manufacturing, Transportation & Logistics, Transportation & Logistics, Healthcare)
  • 5.2.3. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America Digital Twin in Finance Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Offering
  • 6.2.2. By End-Use Industry
  • 6.2.3. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Digital Twin in Finance Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Offering
      • 6.3.1.2.2. By End-Use Industry
  • 6.3.2. Canada Digital Twin in Finance Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Offering
      • 6.3.2.2.2. By End-Use Industry
  • 6.3.3. Mexico Digital Twin in Finance Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Offering
      • 6.3.3.2.2. By End-Use Industry

7. Europe Digital Twin in Finance Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Offering
  • 7.2.2. By End-Use Industry
  • 7.2.3. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Digital Twin in Finance Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Offering
      • 7.3.1.2.2. By End-Use Industry
  • 7.3.2. France Digital Twin in Finance Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Offering
      • 7.3.2.2.2. By End-Use Industry
  • 7.3.3. United Kingdom Digital Twin in Finance Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Offering
      • 7.3.3.2.2. By End-Use Industry
  • 7.3.4. Italy Digital Twin in Finance Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Offering
      • 7.3.4.2.2. By End-Use Industry
  • 7.3.5. Spain Digital Twin in Finance Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Offering
      • 7.3.5.2.2. By End-Use Industry

8. Asia Pacific Digital Twin in Finance Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Offering
  • 8.2.2. By End-Use Industry
  • 8.2.3. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Digital Twin in Finance Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Offering
      • 8.3.1.2.2. By End-Use Industry
  • 8.3.2. India Digital Twin in Finance Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Offering
      • 8.3.2.2.2. By End-Use Industry
  • 8.3.3. Japan Digital Twin in Finance Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Offering
      • 8.3.3.2.2. By End-Use Industry
  • 8.3.4. South Korea Digital Twin in Finance Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Offering
      • 8.3.4.2.2. By End-Use Industry
  • 8.3.5. Australia Digital Twin in Finance Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Offering
      • 8.3.5.2.2. By End-Use Industry

9. Middle East & Africa Digital Twin in Finance Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Offering
  • 9.2.2. By End-Use Industry
  • 9.2.3. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Digital Twin in Finance Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Offering
      • 9.3.1.2.2. By End-Use Industry
  • 9.3.2. UAE Digital Twin in Finance Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Offering
      • 9.3.2.2.2. By End-Use Industry
  • 9.3.3. South Africa Digital Twin in Finance Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Offering
      • 9.3.3.2.2. By End-Use Industry

10. South America Digital Twin in Finance Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Offering
  • 10.2.2. By End-Use Industry
  • 10.2.3. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Digital Twin in Finance Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Offering
      • 10.3.1.2.2. By End-Use Industry
  • 10.3.2. Colombia Digital Twin in Finance Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Offering
      • 10.3.2.2.2. By End-Use Industry
  • 10.3.3. Argentina Digital Twin in Finance Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Offering
      • 10.3.3.2.2. By End-Use Industry

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. Microsoft Corporation
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. IBM Corporation
• 13.3. Oracle Corporation
• 13.4. SAP SE
• 13.5. Ansys,Inc.
• 13.6. PTC Inc.
• 13.7. Siemens Digital Industries Software
• 13.8. TIBCO Software Inc.
• 13.9. Accenture plc
• 13.10. Capgemini SE

14. Strategic Recommendations

15. About Us & Disclaimer