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全球金融数位孪生市场：按产品、最终用途行业（BFSI、製造、运输和物流、医疗保健）、应用、地区 - 预测至 2028 年
市场调查报告书
商品编码
1269631

全球金融数位孪生市场：按产品、最终用途行业（BFSI、製造、运输和物流、医疗保健）、应用、地区 - 预测至 2028 年

Digital Twin in Finance Market by Offering, End-use Industry (BFSI, Manufacturing, Transportation & Logistics, Healthcare), Application and Region - Global Forecast to 2028
出版日期: | 出版商: MarketsandMarkets | 英文 163 Pages | 订单完成后即时交付

价格
简介目录

全球金融数位孪生市场规模预计将从 2023 年的 1 亿美元扩大到 2028 年的 5 亿美元，在预测期内以 34.8% 的复合年增长率增长。

推动金融数位孪生市场增长的一个关键因素是对安全基础设施的需求不断增加。 越来越多地使用数位银行业务引起了组织对确保客户和财务数据安全的担忧。 随着物联网的普及，组织需要更强的安全性和隐私性来防止违规。

“根据 BFSI，预计金融服务领域在预测期内将以最高复合年增长率增长”

由于消费者更喜欢使用数位渠道获得金融服务，因此越来越需要改善在线客户体验。 为了解决这个问题，金融机构正在与第三方公司合作，收集有关消费者在线行为的数据。 这些数据让我们深入了解数位孪生如何利用第三方数据创建虚拟助手，取代对人工支持助手的需求，并通过模拟交互解决消费者问题。 因此，金融机构要想最大限度地降低成本并提高工作效率，就必须想方设法增强这种体验。 实现可以从任何经验中学习的自动化虚拟助手的一种实用方法是数位孪生。

“按服务划分，託管服务领域预计在预测期内以最高复合年增长率增长”

託管服务很重要，尤其是因为它们与客户体验相关。 技术领域需要良好交付的託管服务。 所提供的服务必须完全适应客户的环境。 无论客户身在何处，供应商都必须提供专业技术、服务一致性和灵活性。 公司很难在支持各种其他功能的同时专注于其核心业务流程。 因此，託管服务在保险等 BFSI 领域变得更加重要。

“亚太地区将在预测期内表现出最高的增长率”

亚太地区的企业可以受益于该地区灵活的经济条件、工业化、全球化驱动的政府政策以及日益增长的数位化。 金融数位孪生市场的增长预计将受到该地区城市化进程的推动。 随着城市化进程的加快和可支配收入的增加，个人现在可以选择数位服务而不是访问实体银行。 这打开了市场增长的潜力。 亚太地区在引进新技术方面处于领先地位并充满活力，预计在预测期内将实现最高的复合年增长率。

内容

第一章介绍

第二章研究方法论

第 3 章执行摘要

第 4 章重要注意事项

第 5 章市场概述和行业趋势

  • 市场概览
  • 市场动态
    • 司机
    • 约束因素
    • 机会
    • 任务
  • 数位孪生技术的演变
  • 生态系统分析
  • 价值链分析
  • 价格分析
  • 技术分析
  • 行业用例
  • 专利分析
  • 影响买家/客户的趋势/颠覆
  • 波特的五力分析
  • 监管状况
  • 主要利益相关者和采购标准
  • 主要会议和活动 (2023-2024)
  • 金融数位孪生市场的最佳做法
  • 金融数位孪生市场的未来前景

第 6 章金融数位孪生市场：通过提供

  • 介绍
  • 平台解决方案
  • 服务
    • 专业服务
    • 託管服务

第 7 章金融数位孪生市场：按应用

  • 介绍
  • 风险评估与合规
  • 流程优化
  • 理赔管理
  • 测试模拟
  • 其他

第 8 章金融数位孪生市场：按最终用途行业

  • 介绍
  • BFSI
    • 银行
    • 金融服务
    • 保险
  • 製造业
  • 医疗
  • 运输和物流
  • 其他

第 9 章金融数位孪生市场：按地区

  • 介绍
  • 北美
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 其他欧洲
  • 亚太地区
    • 中国
    • 新加坡
    • 亚太其他地区
  • 其他地区

第10章竞争格局

  • 概览
  • 主要公司采用的策略
  • 竞争场景
  • 顶级公司的市场份额分析
  • 竞争基准
  • 金融数位孪生市场主要公司市场排名（2023 年）
  • 公司评估象限
  • 初创企业/中小企业评估矩阵方法和定义
  • 竞争场景

第11章公司简介

  • 主要公司
    • IBM
    • MICROSOFT
    • CAPGEMINI
    • SAP
    • ANSYS
    • ORACLE CORPORATION
    • ALTAIR ENGINEERING INC.
    • DELOITTE
    • NVIDIA CORPORATION
    • NTT DATA
    • VERISK
  • 中小企业/新兴
    • COSMO TECH
    • NAYAONE
    • VSOPTIMA
    • MERLYNN INTELLIGENCE TECHNOLOGIES
    • PIPRATE
    • TADA

第 12 章相邻/相关市场

  • 风险分析市场
  • 保险分析市场

第13章附录

简介目录
Product Code: TC 8625

The digital twin in finance market size is projected to grow from USD 0.1 billion in 2023 to USD 0.5 billion by 2028, at a CAGR of 34.8% during the forecast period. The primary factor driving the growth of digital twin in finance market is the growing need to develop secure infrastructure. The growing use of digital banking has raised concerns among organizations about managing customer and financial data securely. As IoT has become more extensive, organizations require more robust security and privacy to prevent breaches

"By BFSI, the financial services segment is expected to grow with the highest CAGR during the forecast period"

Since consumers prefer using digital channels for financial services, there is a growing need to improve online customer experiences. To address this, financial institutions are collaborating with third-party companies to collect data on consumer behavior online. This data offers insights on how digital twins can leverage third-party data to create virtual assistants, which can replace the need for human support assistants and solve consumer problems through simulated interactions. Therefore, financial institutions must find ways to enhance this experience if they want to minimize costs and increase work efficiency. One practical approach to achieving an automated virtual assistant that can learn from every experience is through a digital twin.

"By service, the managed services segment is expected to grow with the highest CAGR during the forecast period"

Managed services are important as they are specifically related to client experiences. A technological domain requires well-delivered managed services. The services offered must fit perfectly into the client's environment. Technical expertise, service consistency, and flexibility must be provided by vendors regardless of the client's location. Companies find it extremely challenging to focus on core business processes and at the same time support various other functions. This makes managed services even more important in the BFSI sector such as insurance.

"Asia Pacific to register the highest growth rate during the forecast period"

Companies in the Asia Pacific could benefit from the flexible economic conditions, industrialization, the globalization-motivated policies of their governments, and the expanding digitalization in the region. The growth of the digital twin in finance market is anticipated to be fueled by the surge in urbanization in the region. With rising urbanization and increasing disposable incomes, individuals can conveniently opt for digital services instead of physically visiting banks. This broadens the potential for growth in the market. The Asia Pacific has witnessed an advanced and dynamic adoption of new technologies and is expected to record the highest CAGR during the forecast period.

Breakdown of primaries

The study contains insights from various industry experts, ranging from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:

  • By Company Type: Tier 1 - 35%, Tier 2 - 39%, and Tier 3 - 26%
  • By Designation: C-level -55%, D-level - 40%, and Others - 5%
  • By Region: North America - 38%, Europe - 40%, Asia Pacific - 21%, RoW- 1%

The major players in the digital twin in finance market are IBM (US), Microsoft (US), Capgemini (France), SAP (Germany), Ansys (US), Altair (US), NVIDIA (US), NTT Data (Japan), Oracle (US), Deloitte (UK), Verisk (US), Cosmo Tech (France), NayaOne (UK), VSOptima (US), Merlynn (US), Piprate (Ireland), and TADA (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches and product enhancements, and acquisitions to expand their footprint in the digital twin in finance market.

Research Coverage

The market study covers the digital twin in finance market size across different segments. It aims at estimating the market size and the growth potential across different segments, including offering, end-use industry, and region. The study further includes an in-depth competitive analysis of the leading market players, along with their company profiles, key observations related to product and business offerings, recent developments, and market strategies.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the digital twin in finance market and its subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and to plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (Growing adoption of industry 4.0, Growing need to test new market scenarios in real time to reduce risks, Increasing demand for secure infrastructure, Growing need to meet compliance requirements), restraints (High cost of digital twin deployment), opportunities (Increasing adoption of real-time data analytical tools, Growing demand for open banking, Risign emphasis on financial crime risk alert mangement), and challenges (Lack of skilled workforce, Growing threat of cyberattacks) influencing the growth of the digital twin in finance market.

  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the digital twin in finance market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the digital twin in finance market across varied regions
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the digital twin in finance market.

Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like IBM (US), Microsoft (US), Capgemini (France), SAP (Germany), Ansys (US), Altair (US), NVIDIA (US), NTT Data (Japan), Oracle (US), Deloitte (UK), Verisk (US), Cosmo Tech (France), NayaOne (UK), VSOptima (US), Merlynn (US), Piprate (Ireland), and TADA (US).

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS & EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 REGIONS COVERED
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 RECESSION IMPACT

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 GLOBAL DIGITAL TWIN IN FINANCE MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 Secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Primary interviews with experts
      • 2.1.2.2 List of key primary interview participants
      • 2.1.2.3 Breakup of primary interviews
    • FIGURE 2 BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
      • 2.1.2.4 Key industry insights
  • 2.2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE OF PLATFORMS/SOLUTIONS AND SERVICES
    • 2.3.1 BOTTOM-UP APPROACH
    • FIGURE 4 BOTTOM-UP APPROACH
    • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2: TOP-DOWN APPROACH (DEMAND SIDE)
    • 2.3.2 TOP-DOWN APPROACH
    • FIGURE 6 TOP-DOWN APPROACH
  • 2.4 MARKET FORECAST
    • TABLE 1 FACTOR ANALYSIS
  • 2.5 STUDY ASSUMPTIONS
  • 2.6 STUDY LIMITATIONS

3 EXECUTIVE SUMMARY

    • FIGURE 7 DIGITAL TWIN IN FINANCE MARKET, 2023-2028 (USD MILLION)
    • FIGURE 8 DIGITAL TWIN IN FINANCE MARKET, BY OFFERING, 2023 VS. 2028 (USD MILLION)
    • FIGURE 9 DIGITAL TWIN IN FINANCE MARKET, BY END-USE INDUSTRY, 2023 VS. 2028 (USD MILLION)
    • FIGURE 10 DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023 VS. 2028 (USD MILLION)

4 PREMIUM INSIGHTS

  • 4.1 DIGITAL TWIN IN FINANCE MARKET OVERVIEW
    • FIGURE 11 INCREASING USE OF DIGITALIZED PLATFORMS TO DRIVE MARKET GROWTH
  • 4.2 NORTH AMERICA: DIGITAL TWIN IN FINANCE MARKET, BY OFFERING AND END-USE INDUSTRY (2023)
    • FIGURE 12 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
  • 4.3 ASIA PACIFIC: DIGITAL TWIN IN FINANCE MARKET, BY OFFERING AND END-USE INDUSTRY (2023)
    • FIGURE 13 PLATFORMS & SOLUTIONS TO DOMINATE MARKET IN ASIA PACIFIC IN 2023
  • 4.4 EUROPE: DIGITAL TWIN IN FINANCE MARKET, BY OFFERING AND END-USE INDUSTRY (2023)
    • FIGURE 14 BFSI SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023
  • 4.5 GEOGRAPHICAL SNAPSHOT OF DIGITAL TWIN IN FINANCE MARKET
    • FIGURE 15 ASIA PACIFIC TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 MARKET OVERVIEW
  • 5.2 MARKET DYNAMICS
    • FIGURE 16 DIGITAL TWIN IN FINANCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
    • 5.2.1 DRIVERS
      • 5.2.1.1 Growing adoption of Industry 4.0
      • 5.2.1.2 Growing need to test new market scenarios in real-time to reduce risks
      • 5.2.1.3 Increasing demand for secure infrastructure
      • 5.2.1.4 Growing need to meet compliance requirements
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 High cost of digital twin deployment
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Increasing adoption of real-time data analytical tools
      • 5.2.3.2 Growing demand for open banking
      • 5.2.3.3 Rising emphasis on financial crime risk alert management
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Lack of skilled workforce
      • 5.2.4.2 Growing threat of cyberattacks
  • 5.3 EVOLUTION OF DIGITAL TWIN TECHNOLOGY
  • 5.4 ECOSYSTEM ANALYSIS
    • 5.4.1 RESEARCH & DEVELOPMENT
    • 5.4.2 PLANNING & DESIGN
    • 5.4.3 DIGITAL TWIN ENABLERS
    • 5.4.4 SOLUTION/PLATFORM/SERVICE PROVIDERS
    • 5.4.5 END USERS
    • TABLE 2 DIGITAL TWIN IN FINANCE MARKET: ECOSYSTEM
  • 5.5 VALUE CHAIN ANALYSIS
    • FIGURE 17 DIGITAL TWIN IN FINANCE MARKET: VALUE CHAIN ANALYSIS
  • 5.6 PRICING ANALYSIS
    • 5.6.1 AVERAGE SELLING PRICE OF KEY PLAYERS, BY OFFERING
    • TABLE 3 PRICING MODELS AND INDICATIVE PRICE POINTS, 2022-2023
    • 5.6.2 AVERAGE SELLING PRICE TREND
  • 5.7 TECHNOLOGY ANALYSIS
    • 5.7.1 RELATED TECHNOLOGIES
      • 5.7.1.1 Artificial intelligence and machine learning
      • 5.7.1.2 Big data and analytics
      • 5.7.1.3 IoT & IIoT
      • 5.7.1.4 Augmented reality and virtual reality
      • 5.7.1.5 Blockchain
      • 5.7.1.6 5G
    • 5.7.2 IMPACT OF DIGITAL TWINS ON ADJACENT TECHNOLOGIES
  • 5.8 INDUSTRY USE CASES
    • 5.8.1 USE CASE 1: INSURANCE COMPANIES ARE ADOPTING DIGITAL TWINS TO MANAGE RISK
    • 5.8.2 USE CASE 2: COMPANIES ADOPT DIGITAL TWINS TO ADDRESS LEGAL AND COMPLIANCE RISKS IN FINANCIAL DATA
  • 5.9 PATENT ANALYSIS
    • 5.9.1 DOCUMENT TYPES
    • TABLE 4 PATENTS FILED, 2020-2023
    • 5.9.2 INNOVATION AND PATENT APPLICATIONS
    • FIGURE 18 TOTAL NUMBER OF PATENTS GRANTED IN A YEAR, 2020-2023
    • FIGURE 19 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS
    • TABLE 5 TOP TEN PATENT OWNERS IN DIGITAL TWIN IN FINANCE MARKET, 2020-2023
    • TABLE 6 LIST OF PATENTS IN DIGITAL TWIN IN FINANCE MARKET, 2020-2022
  • 5.10 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
    • FIGURE 20 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN DIGITAL TWIN IN FINANCE MARKET
  • 5.11 PORTER'S FIVE FORCES ANALYSIS
    • TABLE 7 DIGITAL TWIN IN FINANCE MARKET: PORTER'S FIVE FORCES MODEL
    • 5.11.1 THREAT FROM NEW ENTRANTS
    • 5.11.2 THREAT FROM SUBSTITUTES
    • 5.11.3 BARGAINING POWER OF BUYERS
    • 5.11.4 BARGAINING POWER OF SUPPLIERS
    • 5.11.5 DEGREE OF COMPETITION
  • 5.12 REGULATORY LANDSCAPE
    • TABLE 8 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 9 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 10 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 11 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 12 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.12.1 ISO/TC 184/SC 4
    • 5.12.2 ISO/TC 184
    • 5.12.3 GENERAL PERSONAL DATA PROTECTION LAW (GPDP)
    • 5.12.4 AUSTRALIAN DIGITAL CURRENCY COMMERCE ASSOCIATION (ADCCA)
    • 5.12.5 DIGITAL SIGNATURE ACT
    • 5.12.6 GDPR
    • 5.12.7 FINANCIAL SERVICES MODERNIZATION ACT
    • 5.12.8 SOX ACT
    • 5.12.9 PAYMENT CARD INDUSTRY-DATA SECURITY STANDARD
    • 5.12.10 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
    • 5.12.11 FEDERAL INFORMATION SECURITY MANAGEMENT ACT
  • 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 21 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS
    • TABLE 13 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS
    • 5.13.2 BUYING CRITERIA
    • FIGURE 22 KEY BUYING CRITERIA
    • TABLE 14 KEY BUYING CRITERIA
  • 5.14 KEY CONFERENCES AND EVENTS, 2023-2024
    • TABLE 15 DIGITAL TWIN IN FINANCE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
  • 5.15 BEST PRACTICES IN DIGITAL TWIN IN FINANCE MARKET
  • 5.16 FUTURE OUTLOOK OF DIGITAL TWIN IN FINANCE MARKET
    • 5.16.1 DIGITAL TWIN TECHNOLOGY ROADMAP TILL 2030
      • 5.16.1.1 Short-term roadmap (2023-2025)
      • 5.16.1.2 Mid-term roadmap (2026-2028)
      • 5.16.1.3 Long-term roadmap (2029-2030)

6 DIGITAL TWIN IN FINANCE MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • 6.1.1 DIGITAL TWIN IN FINANCE MARKET, BY OFFERING: MARKET DRIVERS
    • FIGURE 23 SERVICES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 16 DIGITAL TWIN IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 6.2 PLATFORMS & SOLUTIONS
    • 6.2.1 BENEFITS SUCH AS REAL-TIME MONITORING AND PREDICTIVE MAINTENANCE TO DRIVE DEMAND FOR DIGITAL TWIN PLATFORMS & SOLUTIONS
  • 6.3 SERVICES
    • TABLE 17 DIGITAL TWIN IN FINANCE MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • 6.3.1 PROFESSIONAL SERVICES
      • 6.3.1.1 Growing need for ongoing technical support to boost demand for professional services
    • TABLE 18 PROFESSIONAL SERVICES: DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.2 MANAGED SERVICES
      • 6.3.2.1 Ability of managed services to improve client experiences to drive growth
    • TABLE 19 MANAGED SERVICES: DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)

7 DIGITAL TWIN IN FINANCE MARKET, BY APPLICATION

  • 7.1 INTRODUCTION
    • 7.1.1 DIGITAL TWIN IN FINANCE MARKET, BY APPLICATION: MARKET DRIVERS
  • 7.2 RISK ASSESSMENT & COMPLIANCE
    • 7.2.1 GROWING NEED FOR REAL-TIME ASSET MONITORING FOR RISK ESTIMATION TO DRIVE MARKET GROWTH
  • 7.3 PROCESS OPTIMIZATION
    • 7.3.1 ABILITY OF DIGITAL TWINS TO CHECK AND REDUCE BOTTLENECKS TO BOOST ADOPTION
  • 7.4 INSURANCE CLAIMS MANAGEMENT
    • 7.4.1 GROWING USE OF DIGITAL TWINS TO PREVENT DELAYS IN CLAIMS MANAGEMENT PROCESSES TO FAVOR GROWTH
  • 7.5 TESTING & SIMULATION
    • 7.5.1 NEED FOR DIGITAL TWINS TO TEST AND ANALYZE SYSTEM BEHAVIOR IN COMPLEX SITUATIONS TO BOOST MARKET
  • 7.6 OTHER APPLICATIONS

8 DIGITAL TWIN IN FINANCE MARKET, BY END-USE INDUSTRY

  • 8.1 INTRODUCTION
    • 8.1.1 DIGITAL TWIN IN FINANCE MARKET, BY END-USE INDUSTRY: MARKET DRIVERS
    • FIGURE 24 HEALTHCARE INDUSTRY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 20 DIGITAL TWIN IN FINANCE MARKET, BY END-USE INDUSTRY, 2023-2028 (USD MILLION)
  • 8.2 BFSI
    • FIGURE 25 FINANCIAL SERVICES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 21 BFSI: DIGITAL TWIN IN FINANCE MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 22 BFSI: DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.2.1 BANKING
      • 8.2.1.1 Growing need to improve customer experiences to drive use of digital twins in banking sector
    • TABLE 23 BANKING: DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
        • 8.2.1.1.1 Use cases
          • 8.2.1.1.1.1 To check and enhance performance of ATMs in real-time
          • 8.2.1.1.1.2 To manage and monitor customer buying preferences in banks
    • 8.2.2 FINANCIAL SERVICES
      • 8.2.2.1 Need for virtual assistants to solve consumer problems through simulated interactions to drive demand for digital twins
    • TABLE 24 FINANCIAL SERVICES: DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
        • 8.2.2.1.1 Use cases
          • 8.2.2.1.1.1 To check performance of portfolio in various conditions before investing
    • 8.2.3 INSURANCE
      • 8.2.3.1 Growing need for risk assessment in insurance sector to boost demand for digital twins
    • TABLE 25 INSURANCE: DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
        • 8.2.3.1.1 Use cases
          • 8.2.3.1.1.1 To estimate and settle claims quickly
          • 8.2.3.1.1.2 To detect fraudulent claims
          • 8.2.3.1.1.3 To address legal and compliance risks
  • 8.3 MANUFACTURING
    • 8.3.1 NEED TO CUT TIME AND COST IN MANUFACTURING SECTOR TO DRIVE GROWTH
    • TABLE 26 MANUFACTURING: DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 8.3.1.1 Use cases
        • 8.3.1.1.1 To reduce costs involved in manufacturing operations
        • 8.3.1.1.2 To improve cost savings and product quality
  • 8.4 HEALTHCARE
    • 8.4.1 GROWING TREND OF DIGITALIZATION IN HEALTHCARE TO BOOST ADOPTION OF DIGITAL TWINS
    • TABLE 27 HEALTHCARE: DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 8.4.1.1 Use cases
        • 8.4.1.1.1 To reduce costs and improve efficiency with Oracle Health Insurance
        • 8.4.1.1.2 To simulate and enhance clinical workflows
  • 8.5 TRANSPORTATION & LOGISTICS
    • 8.5.1 NEED FOR TRANSPORTATION COMPANIES TO IMPROVE PERFORMANCE OF ASSETS AND PROCESSES TO FUEL MARKET GROWTH
    • TABLE 28 TRANSPORTATION & LOGISTICS: DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 8.5.1.1 Use cases
        • 8.5.1.1.1 To make calculative investment decisions for Cross River Rail project
        • 8.5.1.1.2 To prevent costly downtime and repairs
  • 8.6 OTHER END-USE INDUSTRIES
    • TABLE 29 OTHER END-USE INDUSTRIES: DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.6.1 USE CASES
      • 8.6.1.1 To improve energy operations and help companies enhance revenue models
      • 8.6.1.2 To better understand risk

9 DIGITAL TWIN IN FINANCE MARKET, BY REGION

  • 9.1 INTRODUCTION
    • FIGURE 26 DIGITAL TWIN IN FINANCE MARKET: REGIONAL SNAPSHOT (2023)
    • FIGURE 27 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 30 DIGITAL TWIN IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.2 NORTH AMERICA
    • FIGURE 28 NORTH AMERICA: MARKET SNAPSHOT
    • 9.2.1 NORTH AMERICA: DIGITAL TWIN IN FINANCE MARKET DRIVERS
    • 9.2.2 NORTH AMERICA: RECESSION IMPACT
    • TABLE 31 NORTH AMERICA: DIGITAL TWIN IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 32 NORTH AMERICA: DIGITAL TWIN IN FINANCE SERVICES MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 33 NORTH AMERICA: DIGITAL TWIN IN FINANCE MARKET, BY END-USE INDUSTRY, 2023-2028 (USD MILLION)
    • TABLE 34 NORTH AMERICA: DIGITAL TWIN IN FINANCE MARKET FOR BFSI SECTOR, BY TYPE, 2023-2028 (USD MILLION)
    • 9.2.3 US
      • 9.2.3.1 Rapid adoption of technology in financial sector to drive market growth
    • 9.2.4 CANADA
      • 9.2.4.1 Increasing cyberattacks to drive demand for digital twins
  • 9.3 EUROPE
    • FIGURE 29 EUROPE: MARKET SNAPSHOT
    • 9.3.1 EUROPE: DIGITAL TWIN IN FINANCE MARKET DRIVERS
    • 9.3.2 EUROPE: RECESSION IMPACT
    • TABLE 35 EUROPE: DIGITAL TWIN IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 36 EUROPE: DIGITAL TWIN IN FINANCE SERVICES MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 37 EUROPE: DIGITAL TWIN IN FINANCE MARKET, BY END-USE INDUSTRY, 2023-2028 (USD MILLION)
    • TABLE 38 EUROPE: DIGITAL TWIN IN FINANCE MARKET FOR BFSI SECTOR, BY TYPE, 2023-2028 (USD MILLION)
    • 9.3.3 UK
      • 9.3.3.1 Need to improve efficiency of digital infrastructure to boost market growth
    • 9.3.4 GERMANY
      • 9.3.4.1 Significant adoption of IoT technologies and analytics in financial sector to propel market
    • 9.3.5 REST OF EUROPE
  • 9.4 ASIA PACIFIC
    • FIGURE 30 ASIA PACIFIC: MARKET SNAPSHOT
    • 9.4.1 ASIA PACIFIC: DIGITAL TWIN IN FINANCE MARKET DRIVERS
    • 9.4.2 RECESSION IMPACT: ASIA PACIFIC
    • TABLE 39 ASIA PACIFIC: DIGITAL TWIN IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 40 ASIA PACIFIC: DIGITAL TWIN IN FINANCE SERVICES MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 41 ASIA PACIFIC: DIGITAL TWIN IN FINANCE MARKET, BY END-USE INDUSTRY, 2023-2028 (USD MILLION)
    • TABLE 42 ASIA PACIFIC: DIGITAL TWIN IN FINANCE MARKET FOR BFSI SECTOR, BY TYPE, 2023-2028 (USD MILLION)
    • 9.4.3 CHINA
      • 9.4.3.1 Increasing government investments to enhance security of digital platforms to contribute to growth
    • 9.4.4 SINGAPORE
      • 9.4.4.1 Rapid adoption of innovative digital technologies across banking sector to fuel growth
    • 9.4.5 REST OF ASIA PACIFIC
  • 9.5 REST OF THE WORLD
    • 9.5.1 REST OF THE WORLD: DIGITAL TWIN IN FINANCE MARKET DRIVERS
    • 9.5.2 RECESSION IMPACT: REST OF THE WORLD
    • TABLE 43 REST OF THE WORLD: DIGITAL TWIN IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 44 REST OF THE WORLD: DIGITAL TWIN IN FINANCE SERVICES MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 45 REST OF THE WORLD: DIGITAL TWIN IN FINANCE MARKET, BY END-USE INDUSTRY, 2023-2028 (USD MILLION)
    • TABLE 46 REST ON THE WORLD: DIGITAL TWIN IN FINANCE MARKET FOR BFSI SECTOR, BY TYPE, 2023-2028 (USD MILLION)

10 COMPETITIVE LANDSCAPE

  • 10.1 OVERVIEW
  • 10.2 STRATEGIES ADOPTED BY KEY PLAYERS
    • TABLE 47 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN DIGITAL TWIN IN FINANCE MARKET
  • 10.3 COMPETITIVE SCENARIO
  • 10.4 MARKET SHARE ANALYSIS OF TOP PLAYERS
    • TABLE 48 DIGITAL TWIN IN FINANCE MARKET: DEGREE OF COMPETITION
  • 10.5 COMPETITIVE BENCHMARKING
    • TABLE 49 PRODUCT FOOTPRINT WEIGHTAGE
    • TABLE 50 DIGITAL TWIN IN FINANCE MARKET: COMPETITIVE BENCHMARKING OF PLAYERS, BY OFFERING, END-USE INDUSTRY, AND REGION
    • TABLE 51 DIGITAL TWIN IN FINANCE MARKET: DETAILED LIST OF KEY START-UPS/SMES
  • 10.6 MARKET RANKING OF KEY PLAYERS IN DIGITAL TWIN IN FINANCE MARKET, 2023
    • FIGURE 31 MARKET RANKING OF KEY PLAYERS, 2023
  • 10.7 COMPANY EVALUATION QUADRANT
    • FIGURE 32 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
    • 10.7.1 STARS
    • 10.7.2 EMERGING LEADERS
    • 10.7.3 PERVASIVE PLAYERS
    • 10.7.4 PARTICIPANTS
    • FIGURE 33 DIGITAL TWIN IN FINANCE MARKET: COMPANY EVALUATION MATRIX, 2023
  • 10.8 START-UP/SME EVALUATION MATRIX METHODOLOGY AND DEFINITIONS
    • FIGURE 34 START-UP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
    • 10.8.1 PROGRESSIVE COMPANIES
    • 10.8.2 RESPONSIVE COMPANIES
    • 10.8.3 DYNAMIC COMPANIES
    • 10.8.4 STARTING BLOCKS
    • FIGURE 35 DIGITAL TWIN IN FINANCE MARKET: START-UP/SME EVALUATION MATRIX, 2023
  • 10.9 COMPETITIVE SCENARIO
    • 10.9.1 PRODUCT LAUNCHES
    • TABLE 52 PRODUCT LAUNCHES, JANUARY 2019-MARCH 2023
    • 10.9.2 DEALS
    • TABLE 53 DEALS, JANUARY 2019-MARCH 2023

11 COMPANY PROFILES

  • 11.1 MAJOR PLAYERS
  • (Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)**
    • 11.1.1 IBM
    • TABLE 54 IBM: BUSINESS OVERVIEW
    • FIGURE 36 IBM: COMPANY SNAPSHOT
    • TABLE 55 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 56 IBM: DEALS
    • 11.1.2 MICROSOFT
    • TABLE 57 MICROSOFT: BUSINESS OVERVIEW
    • FIGURE 37 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 58 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 59 MICROSOFT: DEALS
    • 11.1.3 CAPGEMINI
    • TABLE 60 CAPGEMINI: BUSINESS OVERVIEW
    • FIGURE 38 CAPGEMINI: COMPANY SNAPSHOT
    • TABLE 61 CAPGEMINI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 11.1.4 SAP
    • TABLE 62 SAP: BUSINESS OVERVIEW
    • FIGURE 39 SAP: COMPANY SNAPSHOT
    • TABLE 63 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 11.1.5 ANSYS
    • TABLE 64 ANSYS: BUSINESS OVERVIEW
    • FIGURE 40 ANSYS: COMPANY SNAPSHOT
    • TABLE 65 ANSYS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 66 ANSYS: PRODUCT LAUNCHES
    • TABLE 67 ANSYS: DEALS
    • 11.1.6 ORACLE CORPORATION
    • TABLE 68 ORACLE CORPORATION: BUSINESS OVERVIEW
    • FIGURE 41 ORACLE CORPORATION: COMPANY SNAPSHOT
    • TABLE 69 ORACLE CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 70 ORACLE CORPORATION: DEALS
    • 11.1.7 ALTAIR ENGINEERING INC.
    • TABLE 71 ALTAIR ENGINEERING INC.: BUSINESS OVERVIEW
    • FIGURE 42 ALTAIR ENGINEERING INC.: COMPANY SNAPSHOT
    • TABLE 72 ALTAIR ENGINEERING INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 73 ALTAIR ENGINEERING INC.: DEALS
    • 11.1.8 DELOITTE
    • TABLE 74 DELOITTE: BUSINESS OVERVIEW
    • FIGURE 43 DELOITTE: COMPANY SNAPSHOT
    • TABLE 75 DELOITTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 76 DELOITTE: DEALS
    • 11.1.9 NVIDIA CORPORATION
    • TABLE 77 NVIDIA CORPORATION: BUSINESS OVERVIEW
    • FIGURE 44 NVIDIA CORPORATION: COMPANY SNAPSHOT
    • TABLE 78 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 11.1.10 NTT DATA
    • 11.1.11 VERISK
  • *Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
  • 11.2 SMES/START-UPS
    • 11.2.1 COSMO TECH
    • 11.2.2 NAYAONE
    • 11.2.3 VSOPTIMA
    • 11.2.4 MERLYNN INTELLIGENCE TECHNOLOGIES
    • 11.2.5 PIPRATE
    • 11.2.6 TADA

12 ADJACENT/RELATED MARKETS

  • 12.1 RISK ANALYTICS MARKET
    • 12.1.1 MARKET DEFINITION
    • 12.1.2 MARKET OVERVIEW
    • 12.1.3 RISK ANALYTICS MARKET, BY COMPONENT
    • TABLE 79 RISK ANALYTICS MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 80 RISK ANALYTICS MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 12.1.3.1 Software
    • TABLE 81 RISK ANALYTICS SOFTWARE MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 82 RISK ANALYTICS SOFTWARE MARKET, BY REGION, 2022-2027 (USD MILLION)
    • TABLE 83 RISK ANALYTICS SOFTWARE MARKET, BY TYPE, 2016-2021 (USD MILLION)
    • TABLE 84 RISK ANALYTICS SOFTWARE MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • 12.1.3.2 Services
    • TABLE 85 RISK ANALYTICS SERVICES MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 86 RISK ANALYTICS SERVICES MARKET, BY REGION, 2022-2027 (USD MILLION)
    • TABLE 87 RISK ANALYTICS SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
    • TABLE 88 RISK ANALYTICS SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
  • 12.2 INSURANCE ANALYTICS MARKET
    • 12.2.1 MARKET DEFINITION
    • 12.2.2 MARKET OVERVIEW
    • 12.2.3 INSURANCE ANALYTICS MARKET, BY COMPONENT
    • TABLE 89 INSURANCE ANALYTICS MARKET, BY COMPONENT, 2016-2019 (USD MILLION)
    • TABLE 90 INSURANCE ANALYTICS MARKET, BY COMPONENT, 2020-2026 (USD MILLION)
    • TABLE 91 INSURANCE ANALYTICS SERVICES MARKET, BY TYPE, 2016-2019 (USD MILLION)
    • TABLE 92 INSURANCE ANALYTICS SERVICES MARKET, BY TYPE, 2020-2026 (USD MILLION)
    • 12.2.4 INSURANCE ANALYTICS MARKET, BY APPLICATION
    • TABLE 93 INSURANCE ANALYTICS MARKET, BY APPLICATION, 2016-2019 (USD MILLION)
    • TABLE 94 INSURANCE ANALYTICS MARKET, BY APPLICATION, 2020-2026 (USD MILLION)
    • 12.2.5 INSURANCE ANALYTICS MARKET, BY DEPLOYMENT MODE
    • TABLE 95 INSURANCE ANALYTICS MARKET, BY DEPLOYMENT MODE, 2016-2019 (USD MILLION)
    • TABLE 96 INSURANCE ANALYTICS MARKET, BY DEPLOYMENT MODE, 2020-2026 (USD MILLION)
    • 12.2.6 INSURANCE ANALYTICS MARKET, BY ORGANIZATION SIZE
    • TABLE 97 INSURANCE ANALYTICS MARKET, BY ORGANIZATION SIZE, 2016-2019 (USD MILLION)
    • TABLE 98 INSURANCE ANALYTICS MARKET, BY ORGANIZATION SIZE, 2020-2026 (USD MILLION)
    • 12.2.7 INSURANCE ANALYTICS MARKET, BY END USER
    • TABLE 99 INSURANCE ANALYTICS MARKET, BY END USER, 2016-2019 (USD MILLION)
    • TABLE 100 INSURANCE ANALYTICS MARKET, BY END USER, 2020-2026 (USD MILLION)
    • 12.2.8 INSURANCE ANALYTICS MARKET, BY REGION
    • TABLE 101 INSURANCE ANALYTICS MARKET, BY REGION, 2016-2019 (USD MILLION)
    • TABLE 102 INSURANCE ANALYTICS MARKET, BY REGION, 2020-2026 (USD MILLION)

13 APPENDIX

  • 13.1 DISCUSSION GUIDE
  • 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.3 CUSTOMIZATION OPTIONS
  • 13.4 RELATED REPORTS
  • 13.5 AUTHOR DETAILS