数位双胞胎科技的市场规模:类型，用途，终端用户产业，各地区，2024年～2031年

数位孪生技术市场评估，2024-2031

由于工业 4.0 的采用、物联网的进步以及各行业对预测性维护和产品优化的需求，数位孪生技术市场的需求不断增长。 Verified Market Research 分析师表示，预计 2024 年该市场营收将达到 543.7 亿美元，预测期内估值将达到 1,355.8 亿美元。

持续创新是在这个快速发展的市场中保持领先地位的关键。由于需求激增，2024年至2031年市场复合年增长率将达12.10%。

数位孪生技术的定义/概述

数位孪生技术基本上是创建实体物件或系统的虚拟副本。该虚拟模型透过不断提供数据的感测器与现实世界相连。

数位孪生充当物理实体的数位对应物，反映其行为和特征。这可以是任何东西，从简单的机器到整个城市。与传统模拟不同，数位孪生会不断更新即时数据。

公司可以使用数位孪生来预测产品或流程在不同条件下的表现。这可以帮助您优化设计并在潜在问题在现实世界中发生之前识别它们。

推动数位孪生科技需求激增的因素有哪些？

物联网 (IoT) 和大数据分析是数位孪生的基础。嵌入实体物件中的物联网感测器成为眼睛和耳朵，不断收集有关效能、操作条件和环境因素的即时数据。此资料流流入大数据分析平台，即运作的大脑。在这里，复杂的演算法处理数据、提取有价值的见解并识别模式。这些见解用于更新和完善数位孪生，确保它仍然是其物理对应物的准确虚拟表示。

此外，公司也不断寻找简化流程、识别效率低下和预测维护需求的方法。数位孪生可以让您做到这一点。透过虚拟模拟场景，领先的公司可以在实际实施之前测试和完善流程，从而显着节省成本并提高效率。

将产品快速推向市场的竞争是主要驱动力。数位孪生允许公司在建立实体模型之前对新产品进行虚拟原型设计和测试。这不仅缩短了开发时间，而且还能够及早发现并纠正设计缺陷，最终缩短上市时间。

阻碍数位孪生科技发展的因素有哪些？

实施和维护数位孪生既复杂又昂贵。建置和运行此类虚拟模型需要数据科学、物联网和数位工程等领域的大量专业知识。公司需要聘请熟练的专业人员来开发和管理整个数位孪生生命週期，从资料收集和建模到模拟和分析。

不同的数位孪生解决方案可能彼此不相容，从而阻碍资料交换并限制该技术的整体实用性。儘管标准化工作正在进行中，但确保平台之间的无缝互通性仍然是一项课题。

此外，虽然数位孪生的潜在优势显而易见，但投资报酬率却难以量化。这种不确定性使得企业对技术投资犹豫不决，尤其是在短期内。

目录

第1章 简介

• 市场定义
• 市场区隔
• 调查手法

第2章 摘要整理

• 主要调查结果
• 市场概要
• 市场亮点

第3章 市场概要

• 市场规模与成长的可能性
• 市场趋势
• 推动市场要素
• 阻碍市场要素
• 市场机会
• 波特的五力分析

第4章 数位双胞胎科技市场:各类型

• 产品数位双胞胎
• 流程数位双胞胎
• 系统数位双胞胎
• 资产效能数位双胞胎

第5章 数位双胞胎科技市场:各用途

• 预知保全
• 产品设计与开发
• 供应链的最佳化
• 远隔监视和控制
• 效能的最佳化

第6章 数位双胞胎科技市场:各终端用户产业

• 製造业
• 能源·公共产业
• 运输·物流
• 医疗保健
• 智慧城市和基础设施

第7章 地区分析

• 北美
• 美国
• 加拿大
• 墨西哥
• 欧洲
• 英国
• 德国
• 法国
• 义大利
• 亚太地区
• 中国
• 日本
• 印度
• 澳洲
• 南美
• 巴西
• 阿根廷
• 智利
• 中东·非洲
• 南非
• 沙乌地阿拉伯
• 阿拉伯联合大公国

第8章 市场动态

• 推动市场要素
• 阻碍市场要素
• 市场机会
• COVID-19对市场的影响

第9章 竞争情形

• 主要企业
• 市场占有率分析

第10章 企业简介

• ABB
• ANSYS
• Autodesk
• AVEVA
• AWS(Amazon Web Services)
• Dassault Systemes
• GE Digital
• General Electric
• Hexagon
• IBM
• Microsoft
• PTC

第11章 市场展望和机会

• 新兴技术
• 今后的市场趋势
• 投资机会

第12章 附录

• 简称清单
• 出处和参考文献

Digital Twin Technology Market Valuation - 2024-2031

The Digital Twin Technology Market is growing in demand due to Industry 4.0 adoption, IoT advancements, and demand for predictive maintenance and product optimization in various industries. According to the analyst from Verified Market Research, the market is estimated to reach a valuation of 135.58USD Billion over the forecast by subjugating the revenue of 54.37 USD Billion in 2024.

Continuous innovation is key to staying ahead in this rapidly evolving market. This surge in demand enables the market to grow at aCAGR of 12.10 % from 2024 to 2031.

Digital Twin Technology Definition/ Overview

Digital twin technology is essentially creating a virtual replica of a physical object or system. This virtual model is linked to the real world through sensors that constantly feed its data.

digital twin acts as a digital counterpart to a physical entity, mirroring its behavior and characteristics. This can be anything from a simple machine to an entire city. Digital twins are distinct from traditional simulations in that they are constantly updated with real-time data, whereas simulations typically use static data sets.

Businesses can use digital twins to predict how a product or process will behave under different conditions. This helps in optimizing designs and identifying potential problems before they occur in the real world.

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What are the factors that surge the demand for Digital Twin Technology?

The Internet of Things (IoT) and big data analytics are the cornerstones of digital twins. IoT sensors embedded in physical objects act as the eyes and ears, constantly collecting real-time data on performance, operating conditions, and environmental factors. This data stream flows into big data analytics platforms, the brains of the operation. Here, sophisticated algorithms churn through the data, extracting valuable insights and identifying patterns. These insights are then used to update and refine the digital twin, ensuring it remains an accurate virtual representation of its physical counterpart.

Furthermore, Businesses are constantly seeking ways to streamline processes, identify inefficiencies, and predict maintenance needs. Digital twins empower them to do just that. By simulating scenarios virtually, companies can test and refine processes before real-world implementation, leading to significant cost savings and improved efficiency.

The race to bring products to market quickly is a major driver. Digital twins allow companies to virtually prototype and test new products before building physical models. This not only reduces development time but also allows for early identification and correction of design flaws, ultimately accelerating time to market.

What factors hinder the growth of Digital Twin Technology?

Implementing and maintaining digital twins can be complex and expensive. Building and running these virtual models requires significant expertise in areas like data science, IoT, and digital engineering. Companies need to hire skilled professionals to develop and manage the digital twin throughout its lifecycle, from data collection and modeling to simulation and analysis.

Different digital twin solutions may not be compatible with each other, hindering data exchange and limiting the overall usefulness of the technology. Standardization efforts are underway, but ensuring seamless interoperability across platforms remains a challenge.

Moreover, While the potential benefits of digital twins are clear, quantifying the ROI can be challenging. This uncertainty can make businesses hesitant to invest in the technology, especially in the short term.

Category-Wise Acumens

How does the increasing adoption of Product Digital Twins impact the market growth?

According to VMR analysis, Product Digital Twins are estimated to hold the largest market share during the forecast period. It focuses on optimizing performance and predicting the maintenance needs of individual products.

These are dominant in industries where individual products have high value and complexity, such as aerospace (think airplanes with millions of parts) or high-tech manufacturing (think advanced machinery with intricate control systems). By creating a digital replica of each product, incorporating data from sensors and historical performance, companies can achieve a level of precision in monitoring and simulation that would be impossible with physical prototypes alone. This allows them to predict maintenance needs well in advance, preventing costly downtime and potential safety hazards. Additionally, product digital twins can be used to optimize performance throughout the product's lifecycle.

How Manufacturing Vehicles segment propel the growth of Digital Twin Technology?

According to VMR analysis, Manufacturing Vehicles are estimated to hold the largest market share during the forecast period.

Manufacturing often deals with products that boast intricate designs, incorporate expensive components, and are subject to stringent safety regulations (think airplanes or high-tech machinery). Digital twins excel at creating virtual replicas of these products, allowing for precise performance monitoring, predictive maintenance that can prevent costly downtime and potential safety hazards, and design optimization that can reduce manufacturing costs or improve product functionality.

Digital twins allow manufacturers to virtually prototype and test these machines, ensuring they meet safety standards and perform as expected before they are built in the real world. This not only reduces development costs but also helps to identify and rectify design flaws early in the process.

Digital Twin Technology

Report Methodology

Country/Region-wise Acumens

How is the demand for Autonomous Cars Influencing the growth of market in North America?

According to VMR analysts, North America is estimated to dominate the Digital Twin Technology market during the forecast period. North America is home to a large number of leading technology companies that are at the forefront of developing and deploying digital twin solutions. These companies include Microsoft, PTC, Siemens, Ansys, and Dassault Systemes. These giants of the tech industry are not only investing heavily in the research and development of digital twin technologies but also actively implementing these solutions in various sectors.

The presence of established manufacturing industries in sectors like aerospace, automotive, and consumer products creates a strong demand for digital twins to optimize processes and product development.

Furthermore, Government initiatives and funding programs in North America are specifically designed to accelerate the adoption of digital twin technology across various industries. For example, the U.S. Department of Energy has launched programs that provide funding for research and development projects focused on using digital twins to improve energy efficiency in buildings and industrial facilities. Additionally, several states have enacted legislation that promotes the use of digital twins in manufacturing and other sectors.

What factors contribute to the potential opportunities in Europe?

Europe boasts a robust manufacturing sector and a growing focus on Industry 4.0 initiatives. Additionally, a skilled workforce and government support for digitalization are propelling the European digital twin market forward.

From aerospace and automotive giants like Airbus and BMW to leaders in industrial machinery like Siemens and Bosch, European companies are at the forefront of manufacturing innovation. This strong industrial base creates a significant demand for digital twins to optimize production lines, streamline supply chains, and improve product quality.

Europe is a hub of research and development in digital technologies. Government funding and initiatives are propelling advancements in artificial intelligence, big data analytics, and the Internet of Things (IoT), all of which are foundational elements of digital twin technology. A skilled workforce with expertise in engineering, data science, and software development further strengthens Europe's position in the digital twin market.

Furthermore, governments across Europe are actively promoting digitalization initiatives, including Industry 4.0, which relies heavily on digital twins. For example, Germany's Industry 4.0 strategy aims to create a digital transformation of manufacturing and digital twins are seen as a key technology for achieving this goal.

Competitive Landscape

The digital twin technology market is a dynamic and competitive space teeming with established industry leaders, innovative startups, and a growing number of tech giants vying for a significant share of the market.

Some of the prominent players operating in the Digital Twin Technology

ABB

ANSYS

Autodesk

AVEVA

AWS (Amazon Web Services)

Dassault Systemes

GE Digital

General Electric

Hexagon

IBM

Microsoft

PTC

Latest Developments

In February 2024, Ansys partnered with Dassault Systemes to integrate their respective simulation and 3DEXPERIENCE platform for a more holistic digital twin experience.

In July 2024, Dassault Systemes: Partnered with Ansys to integrate simulation tools with their 3DEXPERIENCE platform for a more comprehensive digital twin solution

In April 2024, Hexagon: Acquired PAS Global, a company specializing in asset lifecycle information management, which can be valuable for building and maintaining digital twins

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Digital Twin Technology Market, By Type

• Product Digital Twins
• Process Digital Twins
• System Digital Twins
• Asset Performance Digital Twins

5. Digital Twin Technology Market, By Applications

• Predictive Maintenance
• Product Design and Development
• Supply Chain Optimization
• Remote Monitoring and Control
• Performance Optimization

6. Digital Twin Technology Market, By End-User Industry

• Manufacturing
• Energy and Utilities
• Transportation and Logistics
• Healthcare
• Smart Cities and Infrastructure

7. Regional Analysis

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

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• ABB
• ANSYS
• Autodesk
• AVEVA
• AWS (Amazon Web Services)
• Dassault Systemes
• GE Digital
• General Electric
• Hexagon
• IBM
• Microsoft
• PTC

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References