首頁 > 市場調查報告書 > 通訊

IoT 數位孿生

市場調查報告書

商品編碼

1623197

數位雙胞胎科技的市場規模:類型，用途，終端用戶產業，各地區，2024年～2031年

Digital Twin Technology Market Size By Type, Application, End-User Industry, & Region for 2024-2031

出版日期: 2024年07月23日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

數位孿生技術市場評估，2024-2031

由於工業 4.0 的採用、物聯網的進步以及各行業對預測性維護和產品優化的需求，數位孿生技術市場的需求不斷增長。 Verified Market Research 分析師表示，預計 2024 年該市場營收將達到 543.7 億美元，預測期內估值將達到 1,355.8 億美元。

持續創新是在這個快速發展的市場中保持領先地位的關鍵。由於需求激增，2024年至2031年市場複合年增長率將達12.10%。

數位孿生技術的定義/概述

數位孿生技術基本上是創建實體物件或系統的虛擬副本。該虛擬模型透過不斷提供數據的感測器與現實世界相連。

數位孿生充當物理實體的數位對應物，反映其行為和特徵。這可以是任何東西，從簡單的機器到整個城市。與傳統模擬不同，數位孿生會不斷更新即時數據。

公司可以使用數位孿生來預測產品或流程在不同條件下的表現。這可以幫助您優化設計並在潛在問題在現實世界中發生之前識別它們。

推動數位孿生科技需求激增的因素有哪些？

物聯網 (IoT) 和大數據分析是數位孿生的基礎。嵌入實體物件中的物聯網感測器成為眼睛和耳朵，不斷收集有關效能、操作條件和環境因素的即時數據。此資料流流入大數據分析平台，即運作的大腦。在這裡，複雜的演算法處理數據、提取有價值的見解並識別模式。這些見解用於更新和完善數位孿生，確保它仍然是其物理對應物的準確虛擬表示。

此外，公司也不斷尋找簡化流程、識別效率低下和預測維護需求的方法。數位孿生可以讓您做到這一點。透過虛擬模擬場景，領先的公司可以在實際實施之前測試和完善流程，從而顯著節省成本並提高效率。

將產品快速推向市場的競爭是主要驅動力。數位孿生允許公司在建立實體模型之前對新產品進行虛擬原型設計和測試。這不僅縮短了開發時間，而且還能夠及早發現並糾正設計缺陷，最終縮短上市時間。

阻礙數位孿生科技發展的因素有哪些？

實施和維護數位孿生既複雜又昂貴。建置和運行此類虛擬模型需要數據科學、物聯網和數位工程等領域的大量專業知識。公司需要聘請熟練的專業人員來開發和管理整個數位孿生生命週期，從資料收集和建模到模擬和分析。

不同的數位孿生解決方案可能彼此不相容，從而阻礙資料交換並限制該技術的整體實用性。儘管標準化工作正在進行中，但確保平台之間的無縫互通性仍然是一項課題。

此外，雖然數位孿生的潛在優勢顯而易見，但投資報酬率卻難以量化。這種不確定性使得企業對技術投資猶豫不決，尤其是在短期內。

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.

What's inside a VMR industry report?

Our reports include actionable data and forward-looking analysis that help you craft pitches, create business plans, build presentations and write proposals.

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