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1423406

2024-2032 年按類型、技術、最終用途和地區分類的數位孿生市場報告

Digital Twin Market Report by Type, Technology, End Use, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 142 Pages | 商品交期: 2-3個工作天內

價格

2023年全球數位孿生市場規模達到185億美元。展望未來， IMARC Group預計到2032年市場規模將達到1,567億美元，2024-2032年複合年成長率（CAGR）為26.4%。工業物聯網 (IoT) 的不斷普及、雲端運算技術的不斷進步、眾多最終用途行業數位轉型的快速擴展以及即時資料分析的重要性日益增加，這些都是推動市場發展的一些因素。

數位孿生是一種使用電腦程式、即時資料、模擬和機器學習 (ML) 技術來反映實體物件、系統或流程的數位表示形式。數位孿生旨在成為即時資料同步的精確對應物，充當物理領域和數位領域之間的橋樑。這些虛擬模型是使用感測器創建的，這些感測器從物理世界收集資料並將其發送到數位模型。高保真模擬技術通常支援這些資料來預測效能、最佳化操作和解決問題。數位孿生在製造、醫療保健和城市規劃等各個領域都得到了重視，提供了從最佳化機器操作到複雜系統中的預測性維護的廣泛應用。

全球市場主要受到工業物聯網 (IoT) 採用不斷成長的推動，這導致資料生成和分析能力的增強。與此一致，雲端運算技術的不斷進步使得儲存和管理大量即時資料變得更加容易，從而為市場提供了動力。此外，大規模製造中對資源高效利用的需求正在成為市場成長的重要推動因素。除此之外，數位孿生技術在醫療保健領域擴大採用用於病患監測和診斷，正在開闢新的投資途徑。政府增加數位轉型措施的支出進一步推動了市場。除此之外，需要複雜的供應鏈最佳化的電子商務物流的成長導致了數位孿生的更大應用。推動市場發展的其他一些因素包括連網環境中網路安全需求的增加、虛擬實境 (VR) 和擴增實境 (AR) 的採用，以及用於預測分析的人工智慧 (AI) 的不斷整合。

數位孿生市場趨勢/促進因素：

數位轉型在眾多最終用途產業中快速擴展

數位轉型計畫的加快步伐正在迅速改變商業格局，使傳統商業模式過時，並需要新的最佳化和創新途徑。在這種環境下，數位孿生作為改變遊戲規則的工具出現，旨在在虛擬空間中準確複製實體系統。這些數位化身可以對各種操作場景進行建模，使企業能夠在無風險的環境中測試變化，然後再部署到現實世界中。隨著組織轉向數位優先策略，其中敏捷性和適應性至關重要，這種能力變得越來越重要。數位孿生的相關性並不局限於任何單一產業；相反，它是普遍適用的——從製造和醫療保健到供應鏈管理和城市規劃。因此，在數位轉型的普遍重視的推動下，它們的日益普及是長期市場成長的關鍵指標。

即時資料分析的重要性日益增加

現代商業生態系統中資料產生的速度是驚人的，即時分析這些資料的能力正在演變成決定性的競爭優勢。數位孿生透過提供即時監控和預測分析在這方面表現出色。透過不斷從實體物件收集資料，數位孿生提供了對系統性能的無與倫比的洞察力，從而使組織能夠先發製人地解決任何潛在問題。這種積極主動的方法可以轉化為可衡量的效益，例如節省營運成本、提高效率和提高客戶滿意度。即時資料的用途不僅限於監控；它是預測性維護、品質控制甚至災難管理中的重要齒輪。隨著對資料分析的依賴變得越來越明顯，數位孿生在提供及時、可操作的見解方面的作用變得更加重要，從而擴大了市場需求。

監理合規性的快速變化

日益嚴格的法律要求涉及複雜的操作限制，難以手動管理，這是推動市場的一個重要因素。數位孿生透過模擬不同場景如何影響合規狀態，為這個難題提供了有價值的解決方案。透過虛擬副本，組織可以模擬流程或程式中的更改，並立即評估對合規性的影響。這種能力對於製藥、能源和金融等行業尤其有利，這些行業的監管審查非常嚴格，不合規可能會導致嚴厲的處罰。此外，數位孿生的敏捷性使組織能夠快速適應新的或修訂的法規。例如，當新的環境法生效時，公司可以使用數位孿生來模擬對其營運的影響，從而確定保持合規性的最具成本效益的方式。這種敏捷性是一個市場差異化因素，使組織能夠領先於適應速度較慢的競爭對手。

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 資料來源
    • 主要資源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球數位孿生市場

  • 市場概況
  • 市場業績
  • COVID-19 的影響
  • 市場預測

第 6 章：市場區隔：按類型

  • 產品數位孿生
    • 市場走向
    • 市場預測
  • 過程數位孿生
    • 市場走向
    • 市場預測
  • 系統數位孿生
    • 市場走向
    • 市場預測

第 7 章：市場區隔：依技術

  • 物聯網和工業物聯網
    • 市場走向
    • 市場預測
  • 區塊鏈
    • 市場走向
    • 市場預測
  • 人工智慧和機器學習
    • 市場走向
    • 市場預測
  • 擴增實境、虛擬實境和混合實境
    • 市場走向
    • 市場預測
  • 巨量資料分析
    • 市場走向
    • 市場預測
  • 5G
    • 市場走向
    • 市場預測

第 8 章：市場區隔：最終用途別

  • 航太和國防
    • 市場走向
    • 市場預測
  • 汽車和交通
    • 市場走向
    • 市場預測
  • 衛生保健
    • 市場走向
    • 市場預測
  • 能源和公用事業
    • 市場走向
    • 市場預測
  • 油和氣
    • 市場走向
    • 市場預測
  • 農業
    • 市場走向
    • 市場預測
  • 住宅及商業
    • 市場走向
    • 市場預測
  • 零售和消費品
    • 市場走向
    • 市場預測
  • 電信
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 9 章：市場區隔：按地區

  • 北美洲
    • 美國
      • 市場走向
      • 市場預測
    • 加拿大
      • 市場走向
      • 市場預測
  • 亞太
    • 中國
      • 市場走向
      • 市場預測
    • 日本
      • 市場走向
      • 市場預測
    • 印度
      • 市場走向
      • 市場預測
    • 韓國
      • 市場走向
      • 市場預測
    • 澳洲
      • 市場走向
      • 市場預測
    • 印尼
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 歐洲
    • 德國
      • 市場走向
      • 市場預測
    • 法國
      • 市場走向
      • 市場預測
    • 英國
      • 市場走向
      • 市場預測
    • 義大利
      • 市場走向
      • 市場預測
    • 西班牙
      • 市場走向
      • 市場預測
    • 俄羅斯
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 拉丁美洲
    • 巴西
      • 市場走向
      • 市場預測
    • 墨西哥
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 中東和非洲
    • 市場走向
    • 市場細分：按國家/地區
    • 市場預測

第 10 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 11 章：價值鏈分析

第 12 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第 13 章：價格分析

第14章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • ABB Ltd
    • Accenture Plc
    • ANSYS Inc.
    • AVEVA Group plc (Schneider Electric)
    • Cal-Tek Srl
    • Cityzenith
    • Dassault Systemes
    • General Electric Company
    • International Business Machines Corporation
    • Microsoft Corporation
    • PTC Inc.
    • SAP SE
    • Siemens AG
Product Code: SR112024A4774

Abstract

The global digital twin market size reached US$ 18.5 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 156.7 Billion by 2032, exhibiting a growth rate (CAGR) of 26.4% during 2024-2032. The growing industrial Internet of Things (IoT) adoption, continual advancements in cloud computing technologies, rapid expansion of digital transformation across numerous end-use industries, and the growing importance of real-time data analysis represent some of the factors that are propelling the market.

A digital twin is a digital representation that mirrors a physical object, system, or process using computer programs, real-time data, simulations, and machine learning (ML) techniques. Engineered to be an exact counterpart with real-time data syncing, digital twins serve as a bridge between the physical and digital realms. These virtual models are created using sensors that gather data from the physical world and send it to their digital counterpart. High-fidelity simulation technology often bolsters this data to predict performance, optimize operations, and solve problems. Digital twins have gained prominence across various sectors, including manufacturing, healthcare, and urban planning, offering a wide range of applications from optimizing machine operations to predictive maintenance in complex systems.

The global market is primarily driven by the growing industrial Internet of Things (IoT) adoption, which is leading to increased data generation and analytics capabilities. In line with this, continual advancements in cloud computing technologies are making it easier to store and manage enormous sets of real-time data, providing an impetus to the market. Moreover, the need for efficient resource utilization in large-scale manufacturing is acting as a significant growth-inducing factor for the market. In addition to this, the rising adoption of digital twin technology in healthcare for patient monitoring and diagnostics is opening new avenues for investment. The market is further propelled by increased government spending on digital transformation initiatives. Apart from this, the growth in e-commerce logistics requiring complex supply chain optimizations has led to greater application of digital twins. Some other factors contributing to the market include heightened cybersecurity needs in connected environments, the adoption of virtual reality (VR) and augmented reality (AR), and rising integration of Artificial Intelligence (AI) for predictive analytics.

Digital Twin Market Trends/Drivers:

Rapid expansion of digital transformation across numerous end-use industries

The accelerated pace of digital transformation initiatives is rapidly changing the business landscape, rendering traditional business models obsolete and necessitating new avenues for optimization and innovation. In this milieu, digital twins emerge as a game-changing tool, designed to replicate physical systems in a virtual space accurately. These digital avatars can model various operational scenarios, allowing businesses to test changes in a risk-free environment before deploying them in the real world. This capability is becoming increasingly vital as organizations pivot towards digital-first strategies, where agility and adaptability are paramount. The relevance of digital twins is not confined to any single industry; rather, it is universally applicable-from manufacturing and healthcare to supply chain management and urban planning. Their increasing adoption is thus a crucial indicator of long-term market growth, fueled by the universal emphasis on digital transformation.

Growing importance of real-time data analysis

The velocity of data generation is staggering in the modern business ecosystem, and the capability to analyze this data in real-time is evolving into a decisive competitive advantage. Digital twins excel in this regard by offering both real-time monitoring and predictive analytics. By continuously gathering data from their physical counterparts, digital twins offer unparalleled insights into system performance, thereby enabling organizations to preemptively address any potential issues. This proactive approach translates into measurable benefits such as operational cost savings, increased efficiency, and enhanced customer satisfaction. The utility of real-time data extends beyond mere monitoring; it acts as a vital cog in predictive maintenance, quality control, and even disaster management. As the reliance on data analytics becomes increasingly pronounced, the role of digital twins in offering timely, actionable insights gains even greater significance, thereby amplifying market demand.

Rapid changes in regulatory compliance

The increasingly stringent legal requirements involving complex operational constraints that are difficult to manage manually is acting as an essential factor driving the market. Digital twins provide a valuable solution to this quandary by modeling how different scenarios affect compliance status. With virtual replicas, organizations can simulate changes in processes or procedures and immediately assess the impact on compliance. This capability is particularly beneficial in industries like pharmaceuticals, energy, and finance, where regulatory scrutiny is intense, and non-compliance can result in severe penalties. Moreover, the agile nature of digital twins allows organizations to adapt quickly to new or revised regulations. For instance, when a new environmental law comes into effect, companies can use digital twins to simulate the impact on their operations, thereby identifying the most cost-effective way to remain compliant. This agility is a market differentiator, enabling organizations to stay ahead of competitors who are slower to adapt.

Digital Twin Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global digital twin market report, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on type, technology and end use.

Breakup by Type:

Product Digital Twin

Process Digital Twin

System Digital Twin

The report has provided a detailed breakup and analysis of the market based on the type. This includes product digital twin, process digital twin, and system digital twin.

The need for a more accurate and real-time simulation of products is driving the growth of product digital twins. By creating a digital replica of physical products, manufacturers can test, iterate, and optimize designs without the costs associated with physical prototyping. This enhances not only R&D but also the efficiency of the manufacturing process.

On the other hand, operational efficiency and process optimization are the key drivers for the adoption of Process Digital Twins. By digitally mirroring an entire process or production line, organizations can better monitor performance, anticipate issues, and implement improvements. This leads to reduced downtime and a more streamlined operation.

In addition to this, system digital twins are increasingly adopted due to their ability to replicate complex systems, from urban environments to entire ecosystems. These digital replicas allow for comprehensive analysis and simulation, thereby assisting in decision-making and long-term planning for sustainability and growth.

Breakup by Technology:

IoT and IIoT

Blockchain

Artificial Intelligence and Machine Learning

Augmented Reality, Virtual Reality and Mixed Reality

Big Data Analytics

5G

The report has provided a detailed breakup and analysis of the market based on the technology. This includes IoT and IIoT, blockchain, artificial intelligence and machine learning, augmented reality, virtual reality and mixed reality, big data analytics, and 5G.

The rapid expansion of Internet of Things (IoT) and Industrial Internet of Things (IIoT) devices facilitates the data collection required for digital twins. Increased connectivity between devices and systems ensures more accurate and timely data transfer, making digital twins a more effective tool for simulation and analysis.

On the other hand, the blockchain technology provides the secure and transparent transaction layers that are essential for the trustworthy exchange of data in digital twins. Its decentralized nature allows for secure and immutable records, thereby making the digital twin ecosystem more reliable.

In addition to this, artificial intelligence (AI) and machine learning (ML) algorithms are the engines that power the analytical capabilities of digital twins. They process vast datasets to produce actionable insights, enabling organizations to proactively address inefficiencies and capitalize on opportunities.

Moreover, the use of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) technologies enriches the digital twin experience by offering immersive, interactive environments. This facilitates more intuitive data visualization and better contextual understanding, making the technology more accessible and useful.

Also, the integration of big data analytics tools amplifies the computational capabilities of digital twins. These tools can handle large-scale data from multiple sources, providing a more nuanced and comprehensive understanding of the systems being modeled.

Furthermore, the rollout of 5G technology significantly boosts the data transfer rates and reliability needed for effective digital twins. The increased bandwidth and lower latency make real-time data analytics and remote monitoring more practical.

Breakup by End Use:

Aerospace and Defense

Automotive and Transportation

Healthcare

Energy and Utilities

Oil and Gas

Agriculture

Residential and Commercial

Retail and Consumer Goods

Telecommunication

Others

The report has provided a detailed breakup and analysis of the market based on the end use. This includes aerospace and defense, automotive and transportation, healthcare, energy and utilities, oil and gas, agriculture, residential and commercial, retail and consumer goods, telecommunication, and others.

The adoption of digital twins in aerospace and defense is largely driven by the need for enhanced simulation, testing, and training programs. These technologies help in predictive maintenance and real-time monitoring of aircraft and defense systems. The emphasis on security and precision in operations further bolsters the adoption of the technology in this segment.

On the other hand, in the automotive and transportation sector, this technology is being embraced for designing, simulation, and the predictive analytics of vehicles and transportation systems. Factors such as the rise of autonomous vehicles and the push for more efficient supply chain operations contribute to the growing demand. The pursuit of optimizing fuel efficiency and lowering emissions also plays a role.

Moreover, in healthcare, they offer benefits in personalized medicine, patient monitoring, and disease prediction. The COVID-19 pandemic has accelerated the need for remote monitoring solutions, thereby driving demand. Regulatory support for healthcare innovation also contributes to adoption.

Additionally, the energy sector leverages digital twins for real-time monitoring and the predictive maintenance of power plants and energy distribution systems. The transition toward renewable energy sources and the need for optimized energy consumption are significant drivers. Regulatory policies advocating for sustainability further encourage adoption in this segment.

Besides this, the technology in the oil and gas sector is essential for simulating drilling operations and monitoring pipeline integrity. As the sector focuses on operational safety and environmental concerns, the utility of digital twins becomes increasingly valuable. The trend towards automation and data-driven decision-making also propels growth in this segment.

Furthermore, in agriculture, digital twins are employed for crop modeling, climate impact simulations, and precision agriculture. The need to meet the food demands of a growing global population drives technological adoption. Government initiatives to modernize farming techniques also contribute.

Apart from this, the residential and commercial sectors mostly utilize this technology for building information modeling and smart infrastructure planning. The drive for energy-efficient buildings and enhanced occupant comfort are primary motivators. Increasing smart city initiatives across the globe also fuel the demand.

In retail and consumer goods, digital twins find applications in inventory management, customer experience enhancement, and supply chain optimization. The rise of e-commerce and the competitive need for rapid, responsive supply chains are significant factors. Customer demand for personalized experiences also encourages the use of digital twin technology.

Apart from this, for telecommunication, digital twins assist in network design, optimization, and management. The roll-out of 5G and the growing complexity of network infrastructure are key drivers. The need for real-time data analytics for network monitoring and management is another contributing factor.

Breakup by Region:

North America

United States

Canada

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Asia Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America exhibits a clear dominance, accounting for the largest digital twin market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America is a key player in the global market due to its early adoption of emerging technologies, robust infrastructure, and significant investments in R&D. The region hosts several major technology companies that are pioneering digital twin technologies. Furthermore, regulatory frameworks in North America are evolving to support digital transformation, encouraging the growth of digital twin solutions.

Additionally, the demand for efficiency and optimization in sectors like healthcare, manufacturing, and energy is accelerating the adoption of digital twins. A strong ecosystem of IoT and IIoT also enhances the data collection capabilities essential for digital twins. Educational institutions in North America are increasingly collaborating with industries to conduct research and offer specialized courses in digital twin technology, thereby fostering a skilled workforce.

With a wide range of application areas, from aerospace to agriculture, the market in North America is poised for significant growth. The presence of numerous startups alongside established companies fosters innovation and competition. Furthermore, consumer awareness and willingness to adopt new technologies play a crucial role in driving the market, making North America a dynamic region in the global landscape.

Competitive Landscape:

The principal participants in the global market are making significant strides in enhancing the capabilities of digital twin technology. They are consistently focusing on integrating artificial intelligence and machine learning to make the digital twins more intelligent and adaptive. These companies are forging partnerships with software providers and technology firms to broaden their service offerings. They are also targeting specific sectors like manufacturing, healthcare, and urban planning to deliver specialized solutions. To maintain a robust growth trajectory, these industry frontrunners are consistently updating their software platforms to ensure interoperability and real-time data analytics. Furthermore, they are heavily investing on regulatory compliance and data security.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

ABB Ltd

Accenture Plc

ANSYS Inc.

AVEVA Group plc (Schneider Electric)

Cal-Tek Srl

Cityzenith

Dassault Systemes

General Electric Company

International Business Machines Corporation

Microsoft Corporation

PTC Inc.

SAP SE

Siemens AG

Recent Developments:

In August 2023, ABB announced that it is investing in a strategic partnership with Pratexo, an edge-to-cloud acceleration platform company. The partnership involves a minority investment in Pratexo through ABB's venture capital unit, ABB Technology Ventures (ATV). Financial details of the investment were not disclosed.

In September 2023, Accenture acquired Nautilus Consulting, a leading digital healthcare consultancy in the U.K. that specializes in Electronic Patient Record (EPR) solutions. The acquisition will enhance Accenture's digital transformation, implementation, and optimization capabilities across the U.K. and global healthcare space.

In July 2023, ANSYS Inc. announced the limited beta release of AnsysGPT, a multilingual, conversational, AI virtual assistant set to revolutionize the way Ansys customers receive support. Developed using state-of-the-art ChatGPT technology available via the Microsoft Azure OpenAI Service, AnsysGPT uses well-sourced Ansys public data to answer technical questions concerning Ansys products, relevant physics, and engineering topics within one comprehensive tool.

Key Questions Answered in This Report

  • 1. What was the size of the global digital twin market in 2023?
  • 2. What is the expected growth rate of the global digital twin market during 2024-2032?
  • 3. What are the key factors driving the global digital twin market?
  • 4. What has been the impact of COVID-19 on the global digital twin market?
  • 5. What is the breakup of the global digital twin market based on the technology?
  • 6. What are the key regions in the global digital twin market?
  • 7. Who are the key players/companies in the global digital twin market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Digital Twin Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Type

  • 6.1 Product Digital Twin
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Process Digital Twin
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 System Digital Twin
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Technology

  • 7.1 IoT and IIoT
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Blockchain
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Artificial Intelligence and Machine Learning
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Augmented Reality, Virtual Reality and Mixed Reality
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast
  • 7.5 Big Data Analytics
    • 7.5.1 Market Trends
    • 7.5.2 Market Forecast
  • 7.6 5G
    • 7.6.1 Market Trends
    • 7.6.2 Market Forecast

8 Market Breakup by End Use

  • 8.1 Aerospace and Defense
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Automotive and Transportation
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Healthcare
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Energy and Utilities
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Oil and Gas
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Agriculture
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast
  • 8.7 Residential and Commercial
    • 8.7.1 Market Trends
    • 8.7.2 Market Forecast
  • 8.8 Retail and Consumer Goods
    • 8.8.1 Market Trends
    • 8.8.2 Market Forecast
  • 8.9 Telecommunication
    • 8.9.1 Market Trends
    • 8.9.2 Market Forecast
  • 8.10 Others
    • 8.10.1 Market Trends
    • 8.10.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 ABB Ltd
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
      • 14.3.1.3 Financials
      • 14.3.1.4 SWOT Analysis
    • 14.3.2 Accenture Plc
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
      • 14.3.2.3 Financials
      • 14.3.2.4 SWOT Analysis
    • 14.3.3 ANSYS Inc.
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
      • 14.3.3.3 Financials
      • 14.3.3.4 SWOT Analysis
    • 14.3.4 AVEVA Group plc (Schneider Electric)
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
      • 14.3.4.3 Financials
    • 14.3.5 Cal-Tek Srl
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
      • 14.3.5.3 Financials
      • 14.3.5.4 SWOT Analysis
    • 14.3.6 Cityzenith
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
    • 14.3.7 Dassault Systemes
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
      • 14.3.7.3 Financials
      • 14.3.7.4 SWOT Analysis
    • 14.3.8 General Electric Company
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
      • 14.3.8.3 Financials
      • 14.3.8.4 SWOT Analysis
    • 14.3.9 International Business Machines Corporation
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
      • 14.3.9.3 Financials
      • 14.3.9.4 SWOT Analysis
    • 14.3.10 Microsoft Corporation
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
      • 14.3.10.3 Financials
      • 14.3.10.4 SWOT Analysis
    • 14.3.11 PTC Inc.
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio
      • 14.3.11.3 Financials
      • 14.3.11.4 SWOT Analysis
    • 14.3.12 SAP SE
      • 14.3.12.1 Company Overview
      • 14.3.12.2 Product Portfolio
      • 14.3.12.3 Financials
      • 14.3.12.4 SWOT Analysis
    • 14.3.13 Siemens AG
      • 14.3.13.1 Company Overview
      • 14.3.13.2 Product Portfolio
      • 14.3.13.3 Financials
      • 14.3.13.4 SWOT Analysis

List of Figures

  • Figure 1: Global: Digital Twin Market: Major Drivers and Challenges
  • Figure 2: Global: Digital Twin Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Digital Twin Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Digital Twin Market: Breakup by Type (in %), 2023
  • Figure 5: Global: Digital Twin Market: Breakup by Technology (in %), 2023
  • Figure 6: Global: Digital Twin Market: Breakup by End Use (in %), 2023
  • Figure 7: Global: Digital Twin Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Digital Twin (Product Digital Twin) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 9: Global: Digital Twin (Product Digital Twin) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 10: Global: Digital Twin (Process Digital Twin) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Digital Twin (Process Digital Twin) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Digital Twin (System Digital Twin) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Digital Twin (System Digital Twin) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Digital Twin (IoT and IIoT) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Digital Twin (IoT and IIoT) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Digital Twin (Blockchain) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Digital Twin (Blockchain) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Digital Twin (Artificial Intelligence and Machine Learning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Digital Twin (Artificial Intelligence and Machine Learning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Digital Twin (Augmented Reality, Virtual Reality and Mixed Reality) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Digital Twin (Augmented Reality, Virtual Reality and Mixed Reality) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Digital Twin (Big Data Analytics) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Digital Twin (Big Data Analytics) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Digital Twin (5G) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Digital Twin (5G) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Digital Twin (Aerospace and Defense) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Digital Twin (Aerospace and Defense) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Digital Twin (Automotive and Transportation) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Digital Twin (Automotive and Transportation) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Digital Twin (Healthcare) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Digital Twin (Healthcare) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: Global: Digital Twin (Energy and Utilities) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: Global: Digital Twin (Energy and Utilities) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: Global: Digital Twin (Oil and Gas) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: Global: Digital Twin (Oil and Gas) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Global: Digital Twin (Agriculture) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Global: Digital Twin (Agriculture) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Global: Digital Twin (Residential and Commercial) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Global: Digital Twin (Residential and Commercial) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: Global: Digital Twin (Retail and Consumer Goods) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: Global: Digital Twin (Retail and Consumer Goods) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Global: Digital Twin (Telecommunication) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Global: Digital Twin (Telecommunication) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: Global: Digital Twin (Other End Uses) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: Global: Digital Twin (Other End Uses) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: North America: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: North America: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: United States: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: United States: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: Canada: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: Canada: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: Asia-Pacific: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: Asia-Pacific: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: China: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: China: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Japan: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Japan: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: India: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: India: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: South Korea: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: South Korea: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: Australia: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: Australia: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: Indonesia: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: Indonesia: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Others: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Others: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Europe: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Europe: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Germany: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Germany: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: France: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: France: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: United Kingdom: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: United Kingdom: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: Italy: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: Italy: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: Spain: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: Spain: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 80: Russia: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 81: Russia: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 82: Others: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 83: Others: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 84: Latin America: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 85: Latin America: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 86: Brazil: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 87: Brazil: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 88: Mexico: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 89: Mexico: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 90: Others: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 91: Others: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 92: Middle East and Africa: Digital Twin Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 93: Middle East and Africa: Digital Twin Market: Breakup by Country (in %), 2023
  • Figure 94: Middle East and Africa: Digital Twin Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 95: Global: Digital Twin Industry: SWOT Analysis
  • Figure 96: Global: Digital Twin Industry: Value Chain Analysis
  • Figure 97: Global: Digital Twin Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Digital Twin Market: Key Industry Highlights, 2023 & 2032
  • Table 2: Global: Digital Twin Market Forecast: Breakup by Type (in Million US$), 2024-2032
  • Table 3: Global: Digital Twin Market Forecast: Breakup by Technology (in Million US$), 2024-2032
  • Table 4: Global: Digital Twin Market Forecast: Breakup by End Use (in Million US$), 2024-2032
  • Table 5: Global: Digital Twin Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 6: Global: Digital Twin Market: Competitive Structure
  • Table 7: Global: Digital Twin Market: Key Players