數位雙胞胎：市場佔有率分析、產業趨勢/統計、成長預測，2024-2029

本會計年度數位雙胞胎市場規模預計為 190.9 億美元，預計在預測期內以 36.94% 的複合年成長率成長，五年內達到 919.2 億美元。

預計將轉變技術孿生解決方案，以簡化製造流程，並提供各種創新方法來降低成本、最佳化維護、監控資產、減少停機時間、創建新的關聯產品等。數位雙胞胎模型雖然很常見，但正在迅速進入製造業和其他行業。物聯網和雲端基礎的平台等技術是增加這些解決方案採用的主要驅動力。

主要亮點

• 數位雙胞胎將巨量資料、物聯網、機器學習 (ML) 和人工智慧 (AI) 融入工業 4.0。數位雙胞胎主要用於工業IoT(IIoT)、工程和製造業務領域。在物聯網廣泛使用的世界中，數位雙胞胎變得更有效率且可供企業使用。製造商預測，大約 40% 的物聯網參與者將整合模擬平台、系統和功能來開發數位雙胞胎。
• 資料雙胞胎也準備改變公司對現場產品和設備進行預防性保養的方式。這些機器中嵌入的感測器即時向數位雙胞胎發送效能資訊，以主動識別和修復故障，並制定滿足個別客戶要求的服務和維護計劃。
• 為了規避3D列印中的這些困難，我們使用孿生技術來模擬整個生產過程。此技術可讓您查看 3D 模型中發生扭曲的位置，以便進行修正。結果是一個經過全面最佳化的新模型，以彌補其差異並為您提供最佳的列印效果。
• 低度開發國家使用的遺留系統預計將嚴重阻礙市場成長。這些舊有系統大多已經開發出來，但主要是為了在沒有連接的情況下運作而設計和建構的。無法採用提供即時資料的先進感測器技術限制了先進技術的採用。
• 由於 COVID-19 的爆發，數位雙胞胎等工業 4.0 技術的採用率加快，促進了市場成長。世界各國政府也正在探索部署不同智慧城市解決方案以提高城市彈性的可能性。例如，新加坡政府認知到加速跨產業數位化的重要性。預計這些因素將推動對這些解決方案的需求。

數位雙胞胎市場趨勢

物聯網和雲端基礎平台的成長將推動市場

• 數位雙胞胎解決方案預計將改變生產流程，並提供降低成本、最佳化維護和資產管理、減少停機時間以及創建新連網型產品的新方法。數位雙胞胎並不新鮮，但它們正在迅速進入製造業和工業領域。物聯網和雲端基礎的平台等新興技術是這些解決方案快速普及的主要驅動力。
• 主要雲端供應商最近推出了重要的數位雙胞胎功能。在建築和建築管理方面，微軟發布了數位雙胞胎本體。在物流和製造領域，Google推出了數位雙胞胎服務。為了簡化工廠、工業設備、車輛等的數位雙胞胎，Amazon Web Services 推出了物聯網 TwinMaker 和 FleetWise。 Nvidia 也推出了元宇宙 ，這是一項為其合作夥伴網路中的工程師提供的專案訂閱服務。
• 此外，物聯網和數位數位雙胞胎正在改變數位世界和生物世界互動的方式，因為物聯網擴大透過與物理世界幾乎相同的數位雙胞胎來連接和存取物理世界的智慧。此外，新的應用程式、商業模式和設備成本下降刺激了物聯網的採用，從而增加了世界各地互連設備和端點的數量。物聯網巨頭NB-IoT和Cat-M1繼續在全球部署。
• 物聯網的應用無所不在，從工業應用到緊急服務、大眾交通工具、公共、城市照明和智慧城市應用。市政當局正在轉向由物聯網支援的無線通訊，以降低成本、提高效率並減少資源。

北美佔據主要市場佔有率

• 美國的現代製造設施依靠新技術和創新以更低的成本生產優質的產品。美國計劃成為物聯網、巨量資料、DevOps 和行動性等普及技術的早期採用者，將數位雙胞胎整合到流程中以簡化和利用更先進的見解。
• 儘管製造業已開始採用數位雙胞胎技術，但建設業仍是依賴技術創新的主要2D產業。 3D 視覺數位雙胞胎技術使現場專家能夠從現場存取計劃的每個細節，直至 Google 街景。
• 加拿大的製造業、建設業和汽車業正在大力採用數位雙胞胎技術。為了衡量這些實體資產的性能並確定改進措施以獲得更好的結果，這些領域的組織正在使用數位雙胞胎技術。
• 例如，2022 年 11 月，AECO 創新實驗室與四家加拿大機構合作進行了一個名為「用於建築環境中監管流程自動化的人工智慧數位雙胞胎」的計劃。該計劃將支持架構、工程和建設產業以及公共部門相關部門的創新和數位轉型。該計劃將探索如何使用新想法、數位工具和技術來改善和轉變核准流程。我們還將探討加拿大監管機構如何利用 BIM 和數位雙胞胎來更好地理解他們的決策。

數位雙胞胎產業概述

數位雙胞胎市場被 ANSYS Inc.、Cal-Tek SRL、Cityzenith Inc.、General Electric Company 和 IBM Corporation 等主要企業瓜分。市場參與者正在採取聯盟和收購等策略來增強其服務產品並獲得永續的競爭優勢。

其他福利

• Excel 格式的市場預測 (ME) 表
• 3 個月分析師支持

目錄

第1章簡介

• 研究假設和市場定義
• 調查範圍

第2章調查方法

第3章執行摘要

第4章市場洞察

• 市場概況
• 產業吸引力－波特五力分析
  • 供應商的議價能力
  • 消費者議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭公司之間的敵對關係
• 產業價值鏈分析
• 評估 COVID-19 對產業的影響

第5章市場動態

• 市場促進因素
  • 物聯網和雲端基礎平台的成長
  • 3D列印技術在製造業的快速採用
  • 降低計劃成本的目標
• 市場挑戰
  • 低度開發國家基礎設施不足與資料安全相關問題

第6章市場區隔

• 按用途
  • 製造業
  • 能源/電力
  • 航太
  • 油和氣
  • 車
  • 其他
• 按地區
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 其他地區

第7章競爭形勢

• 公司簡介
  • ANSYS Inc.
  • Cal-Tek SRL
  • Cityzenith Inc.
  • General Electric Company
  • IBM Corporation
  • Lanner Group Limited（Royal Haskoning DHV）
  • Mevea Ltd
  • Microsoft Corporation
  • Rescale Inc.
  • SAP SE

第8章投資分析

第9章市場的未來

The Digital Twin Market size is estimated at USD 19.09 billion in the current year. It is expected to reach USD 91.92 billion in five years, registering a CAGR of 36.94% during the forecast period.

To simplify the manufacturing process and offer a variety of innovative approaches for cutting costs, optimizing maintenance, monitoring assets, reducing downtime, and creating new linked products, technological twin solutions are expected to be transformed. The digital twin model, although familiar, has been entering manufacturing and other industries fast. Technologies such as IoT and cloud-based platforms have been significant drivers for the increased adoption of these solutions.

Key Highlights

• Digital twins incorporate big data, the Internet of Things (IoT), machine learning (ML), and artificial intelligence (AI) in Industry 4.0. They are predominantly used in the Industrial Internet of Things (IIoT), engineering, and manufacturing business space. In a world where the Internet of Things is used widely, digital twins have become more efficient and accessible to businesses. The manufacturers have estimated that around 40 % of the Internet of Things players are expected to integrate simulation platforms, systems, and capabilities for developing digital twins.
• The way companies deliver preventive maintenance for products and equipment in the field is also undergoing a transformation timed to be driven by data twins. To identify and fix malfunctions before they occur and set up service and maintenance plans to satisfy individual customer requirements, sensors incorporated in these machines have been transmitting performance information in real-time into a Digital Twin.
• To avoid these difficulties with 3D printing, the whole production process has been simulated using twinning technology. This technology can tell if there will be distortions and where they may occur in a 3D model, so it is possible to correct them. This can result in new models that are fully optimized to compensate for the discrepancies and obtain the best possible printing results.
• The market's growth is expected to be significantly hampered by the presence of traditional systems used in underdeveloped countries. Most of these legacy systems had already been developed but were primarily designed and built to function without connectivity. They cannot incorporate advanced sensor technology that offers real-time data, limiting the adoption of advanced technologies.
• The adoption rate of Industry 4.0 technologies, e.g., digital twins, is accelerating due to the COVID-19 pandemic and contributing to market growth. Governments worldwide have also explored the possibility of deploying a different smart city solution to improve urban resilience. For instance, the Singapore government recognized the importance of accelerating digitalization across industries. These factors are expected to drive the demand for these solutions.

Digital Twin Market Trends

Growth in IoT and Cloud-based Platforms to Drive the Market

• The Digital Twin solutions are expected to transform production processes and offer new ways to lower costs, optimize maintenance and asset management, reduce downtime, and create new connected products. Even though it's not new, digital twins are rapidly starting to enter the production and industrial sectors. Emerging technologies like the Internet of Things and cloud-based platforms are significant drivers for the rapid adoption of these solutions.
• All the leading cloud providers have recently implemented a significant digital twin capability. In construction and building management, Microsoft has released a digital twin ontology. In logistics and manufacturing, Google has launched a digital twin service. To simplify the digital twins of factories, industry equipment, and fleet vehicles, Amazon Web Services has launched Internet of Things TwinMaker and FleetWise. In addition, Nvidia has launched a metaverse for engineers on its partner network as an ad hoc subscription service.
• In addition, it is anticipated that the interaction of digital and biological worlds will change due to the IoT and digital twins as the Internet of Things is increasingly connecting and accessing intelligence in a physical world through digital twins almost identical to their physical counterparts. Additionally, the adoption of the Internet of Things is being stimulated by new applications, business models, and declining costs for equipment, resulting in a growing number of interconnected devices and endpoints worldwide. The massive IoT technologies NB-IoT and Cat-M1 continue to be rolled out globally.
• IoT is used everywhere, from industrial applications to emergency services, public transportation, public safety, city lighting, and smart city applications. Municipalities are moving to wireless communications offered by IoT due to low cost, greater efficiency, and resource reduction.

North America Holds Major Market Share

• Modern manufacturing facilities in the United States rely on new technologies and innovations to produce superior-quality products at low costs. The US industry plans to integrate digital twins into their processes to simplify and leverage more advanced insight, thanks to the early adoption of increasingly popular technologies such as IoT, Big Data, DevOps, or Mobility.
• The construction sector continues to be a major 2D industry relying on technology innovation, even though the manufacturing sector has begun adopting digital twin technologies. With 3D visual digital twin technology, off-site experts can access on-site views into the nitty-gritty of projects taking off where Google Street View ends.
• The Canadian manufacturing, construction, and automotive industries have adopted significant digital twin technologies. To measure the performance of such Physical Assets and identify where improvements could be made to achieve more favorable results, organizations within those sectors are using Digital Twin Technology.
• For instance, in November 2022, the project, AI-enabled Digital Twins for Automation of Regulatory Processes in the Built Environment, was carried out in collaboration with four Canadian institutions nationwide by AECO Innovation Lab. The project supports innovation and Digital Transformation of the Architecture, Engineering, and Construction industries and related sectors within the public sector. This project examines how new ideas, digital tools, and technology can be used to improve and transform the approval process. In addition, it examines how Canada's regulators could use BIM and Digital twins to understand their decisions better.

Digital Twin Industry Overview

The digital twin market is fragmented with major players like ANSYS Inc., Cal-Tek SRL, Cityzenith Inc., General Electric Company, and IBM Corporation. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their service offerings and gain sustainable competitive advantage.

In June 2023, Mevea announced delivering digital twins, simulation software, and training simulators to Siemens. Siemens integrates these solutions within its open and modular SIMOCRANE Remote Control Systems (RCOS) to remotely control all relevant crane types like STS, Cantilever ARMG, end loading ASC, and RTG. The digital twins are used in crane automation, software testing & development, and operator training.

In March 2023, ANSYS Inc. and L&T Technology Services Limited signed an MOU to establish the LTTS-Ansys Center of Excellence (CoE) for Digital Twin. The center will support LTTS in demonstrating industry use cases, developing future-facing solutions, and enabling its customers to optimize design, manufacturing, and supply chain processes. Ansys' Twin Builder solution will further allow LTTS to expand its market share in digital twin areas.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

• 4.1 Market Overview
• 4.2 Industry Attractiveness - Porter's Five Forces Analysis
  • 4.2.1 Bargaining Power of Suppliers
  • 4.2.2 Bargaining Power of Consumers
  • 4.2.3 Threat of New Entrants
  • 4.2.4 Threat of Substitutes
  • 4.2.5 Intensity of Competitive Rivalry
• 4.3 Industry Value Chain Analysis
• 4.4 Assessment of the Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

• 5.1 Market Drivers
  • 5.1.1 Growth in IoT and Cloud-based Platforms
  • 5.1.2 Surge in Adoption of 3D Printing Technology in the Manufacturing Industry
  • 5.1.3 Objective to Reduce Project Cost
• 5.2 Market Challenges
  • 5.2.1 Inadequate Infrastructure in Under-developed Countries and Data Security-related Concerns

6 MARKET SEGMENTATION

• 6.1 By Application
  • 6.1.1 Manufacturing
  • 6.1.2 Energy and Power
  • 6.1.3 Aerospace
  • 6.1.4 Oil and Gas
  • 6.1.5 Automobile
  • 6.1.6 Others Applications
• 6.2 By Geography
  • 6.2.1 North America
    • 6.2.1.1 United States
    • 6.2.1.2 Canada
  • 6.2.2 Europe
    • 6.2.2.1 United Kingdom
    • 6.2.2.2 Germany
    • 6.2.2.3 France
    • 6.2.2.4 Rest of Europe
  • 6.2.3 Asia Pacific
    • 6.2.3.1 China
    • 6.2.3.2 Japan
    • 6.2.3.3 India
    • 6.2.3.4 Rest of Asia Pacific
  • 6.2.4 Rest of the World

7 COMPETITIVE LANDSCAPE

• 7.1 Company Profiles
  • 7.1.1 ANSYS Inc.
  • 7.1.2 Cal-Tek SRL
  • 7.1.3 Cityzenith Inc.
  • 7.1.4 General Electric Company
  • 7.1.5 IBM Corporation
  • 7.1.6 Lanner Group Limited (Royal Haskoning DHV)
  • 7.1.7 Mevea Ltd
  • 7.1.8 Microsoft Corporation
  • 7.1.9 Rescale Inc.
  • 7.1.10 SAP SE

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET