全球金融數位孿生市場:按產品、最終用途行業(BFSI、製造、運輸和物流、醫療保健)、應用、地區 - 預測至 2028 年
市場調查報告書
商品編碼
1269631

全球金融數位孿生市場:按產品、最終用途行業(BFSI、製造、運輸和物流、醫療保健)、應用、地區 - 預測至 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 | 訂單完成後即時交付

價格
簡介目錄

全球金融數位孿生市場規模預計將從 2023 年的 1 億美元擴大到 2028 年的 5 億美元,在預測期內以 34.8% 的複合年增長率增長。

推動金融數位孿生市場增長的一個關鍵因素是對安全基礎設施的需求不斷增加。 越來越多地使用數位銀行業務引起了組織對確保客戶和財務數據安全的擔憂。 隨著物聯網的普及,組織需要更強的安全性和隱私性來防止違規。

“根據 BFSI,預計金融服務領域在預測期內將以最高複合年增長率增長”

由於消費者更喜歡使用數位渠道獲得金融服務,因此越來越需要改善在線客戶體驗。 為了解決這個問題,金融機構正在與第三方公司合作,收集有關消費者在線行為的數據。 這些數據讓我們深入了解數位孿生如何利用第三方數據創建虛擬助手,取代對人工支持助手的需求,並通過模擬交互解決消費者問題。 因此,金融機構要想最大限度地降低成本並提高工作效率,就必須想方設法增強這種體驗。 實現可以從任何經驗中學習的自動化虛擬助手的一種實用方法是數位孿生。

“按服務劃分,託管服務領域預計在預測期內以最高複合年增長率增長”

託管服務很重要,尤其是因為它們與客戶體驗相關。 技術領域需要良好交付的託管服務。 所提供的服務必須完全適應客戶的環境。 無論客戶身在何處,供應商都必須提供專業技術、服務一致性和靈活性。 公司很難在支持各種其他功能的同時專注於其核心業務流程。 因此,託管服務在保險等 BFSI 領域變得更加重要。

“亞太地區將在預測期內表現出最高的增長率”

亞太地區的企業可以受益於該地區靈活的經濟條件、工業化、全球化驅動的政府政策以及日益增長的數位化。 金融數位孿生市場的增長預計將受到該地區城市化進程的推動。 隨著城市化進程的加快和可支配收入的增加,個人現在可以選擇數位服務而不是訪問實體銀行。 這打開了市場增長的潛力。 亞太地區在引進新技術方面處於領先地位並充滿活力,預計在預測期內將實現最高的複合年增長率。

內容

第一章介紹

第二章研究方法論

第 3 章執行摘要

第 4 章重要注意事項

第 5 章市場概述和行業趨勢

  • 市場概覽
  • 市場動態
    • 司機
    • 約束因素
    • 機會
    • 任務
  • 數位孿生技術的演變
  • 生態系統分析
  • 價值鏈分析
  • 價格分析
  • 技術分析
  • 行業用例
  • 專利分析
  • 影響買家/客戶的趨勢/顛覆
  • 波特的五力分析
  • 監管狀況
  • 主要利益相關者和採購標準
  • 主要會議和活動 (2023-2024)
  • 金融數位孿生市場的最佳做法
  • 金融數位孿生市場的未來前景

第 6 章金融數位孿生市場:通過提供

  • 介紹
  • 平台解決方案
  • 服務
    • 專業服務
    • 託管服務

第 7 章金融數位孿生市場:按應用

  • 介紹
  • 風險評估與合規
  • 流程優化
  • 理賠管理
  • 測試模擬
  • 其他

第 8 章金融數位孿生市場:按最終用途行業

  • 介紹
  • BFSI
    • 銀行
    • 金融服務
    • 保險
  • 製造業
  • 醫療
  • 運輸和物流
  • 其他

第 9 章金融數位孿生市場:按地區

  • 介紹
  • 北美
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 其他歐洲
  • 亞太地區
    • 中國
    • 新加坡
    • 亞太其他地區
  • 其他地區

第10章競爭格局

  • 概覽
  • 主要公司採用的策略
  • 競爭場景
  • 頂級公司的市場份額分析
  • 競爭基準
  • 金融數位孿生市場主要公司市場排名(2023 年)
  • 公司評估象限
  • 初創企業/中小企業評估矩陣方法和定義
  • 競爭場景

第11章公司簡介

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

第 12 章相鄰/相關市場

  • 風險分析市場
  • 保險分析市場

第13章附錄

簡介目錄
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