市場調査レポート
商品コード
1237178

デジタルツインの世界市場:技術別・ツインの種類別、Cyber-to-Physicalソリューション、使用事例、業界別・用途別 (2023年~2028年)

Digital Twins Market by Technology, Twinning Type, Cyber-to-Physical Solutions, Use Cases and Applications in Industry Verticals 2023 - 2028

出版日: | 発行: Mind Commerce | ページ情報: 英文 154 Pages | 納期: 即日から翌営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=152.52円
デジタルツインの世界市場:技術別・ツインの種類別、Cyber-to-Physicalソリューション、使用事例、業界別・用途別 (2023年~2028年)
出版日: 2023年03月15日
発行: Mind Commerce
ページ情報: 英文 154 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

概要

  • 最新の調査結果では、各企業のIT意思決定者の47%がデジタルツインを知らないことが判明しました。
  • 2028年までに、スマートシティ向けデジタルツイン・ソリューションの市場規模は52億米ドルに達する見通しです。
  • 2028年までに全IoTプラットフォームの94%以上に、デジタルツイン機能が何らかの形で搭載され、デジタルツインがIoTアプリケーションイネーブルメントの標準機能/フィーチャーになる、と考えられています。
  • 96%以上のベンダーが、産業分野向けのIIoT APIとデジタルツイン機能を持つプラットフォーム統合の必要性を認識しています。
  • 各種業界の経営者の42%以上がデジタルツインのメリットを理解し、そのうちの59%が2028年までに自社の業務内に取り入れることを計画しています。
  • デジタルツインの代表的なソリューションとして、アセットツイン、コンポーネントツイン、システムツイン、プロセスツイン、ワークフローツインがあります。

当レポートでは、世界のデジタルツイン市場の最新情勢と将来展望について分析し、デジタルツインの概要や関連技術との関係性、製品・サービスのエコシステムの評価 (アプリケーション開発・運用を含む)、各業界での普及・活用状況、主要企業での取り組み状況、今後の市場規模の動向見通し (2023年~2028年)、地域別・国別の詳細動向などを調査しております。

目次

第1章 エグゼクティブサマリー

第2章 イントロダクション

  • 概要
    • デジタルツインを理解する
    • コグニティブ・デジタルツイン
    • デジタルスレッド
    • センサーとシミュレーションの融合
    • IoT API
    • ソフトウェアモジュールと要素
    • デジタルツインの種類
    • デジタルツインの業務プロセス
    • デジタルツインの役割と重要性
  • 関連技術とデジタルツインへの影響
    • 産業用インターネットとインダストリー4.0
    • ペアリング技術
    • Cyber-to-Physicalシステム
    • AR (拡張現実)、VR (仮想現実)、XR (複合現実)
    • 人工知能 (AI) と機械学習 (ML)
    • 積層造形 (AM) と3Dプリンティング
  • 潜在的な用途と成果の分析
    • MRO (メンテナンス・修理・オーバーホール) 作業
    • 消費者資産のデジタルアバター
    • パフォーマンス/サービス監視
    • 点検・修理
    • 予知保全
    • 製品設計・開発
    • 複合組立・製造
    • 潜在的なビジネス成果
  • デジタルツイン・サービスのエコシステム
    • 産業用IoT (IIoT)
    • 消費者用IoT
    • 産業動向
    • DTaaS (Digital Twinning as a Service:サービスとしてのデジタルツイン)

第3章 デジタルツイン企業の評価

  • ABB
  • Allerin Tech Pvt. Ltd.
  • Altair Engineering, Inc.
  • Amazon Web Services
  • ANSYS
  • Aucotec AG
  • Autodesk Inc.
  • Bentley Systems, Incorporated
  • CADFEM GmbH
  • Cisco Systems
  • Cityzenith
  • Cosmo Tech
  • Dassault Systems
  • Digital Twin Consortium
  • Digital Twin Technologies
  • DNV GL
  • DXC Technology
  • Eclipse Foundation
  • Emerson
  • Emesent
  • Faststream Technologies
  • FEINGUSS BLANK GmbH
  • Flowserve
  • Forward Networks
  • General Electric
  • Google
  • Hitachi Ltd.
  • Honeywell
  • HP
  • IBM
  • Industrial Internet Consortium
  • Intellias
  • Invicara
  • KBMax
  • Lanner Electronics
  • Microsoft
  • National Instruments
  • NavVis
  • Oracle
  • PETRA Data Science
  • Physical Web
  • Pratiti Technologies
  • Prodea System Inc.
  • PTC
  • QiO Technologies
  • Robert Bosch
  • SAP
  • Schneider
  • SenSat
  • Siemens
  • Sight Machine Inc.
  • Simplifa GmbH
  • Softweb Solutions Inc.
  • Sogeti Group
  • SWIM.AI
  • Synavision
  • Sysmex Corporation
  • TIBCO Software
  • Toshiba Corporation
  • UrsaLeo
  • Virtalis Limited
  • Visualiz
  • Wipro Limited
  • XenonStack
  • Zest Labs

第4章 デジタルツイン市場の分析と予測 (2023年~2028年)

  • 世界デジタルツイン市場 (2023年~2028年)
  • 世界デジタルツイン市場:ツインの種類別 (2023年~2028年)
  • 世界デジタルツイン市場:用途別 (2023年~2028年)
  • 世界デジタルツイン市場:業種別 (2023年~2028年)
    • 製造業向けデジタルツイン市場:種類別 (2023年~2028年)
    • スマートシティ向けデジタルツイン市場:種類別 (2023年~2028年)
    • 自動車向けデジタルツイン市場:種類別 (2023年~2028年)
    • 医療向けデジタルツイン市場:種類別 (2023年~2028年)
    • 輸送向けデジタルツイン市場:種類別 (2023年~2028年)
  • デジタルツイン市場:地域別 (2023年~2028年)
    • 北米のデジタルツイン市場 (2023年~2028年)
    • 南米のデジタルツイン市場 (2023年~2028年)
    • 欧州のデジタルツイン市場 (2023年~2028年)
    • アジア太平洋のデジタルツイン市場 (2023年~2028年)
    • 中東・アフリカのデジタルツイン市場 (2023年~2028年)

第5章 結論・提言

図表

Figures

  • Figure 1: Digital Twinning Model
  • Figure 2: Building Blocks of Cognitive Digital Twinning
  • Figure 3: Digital Thread Model in Digital Manufacturing Transformation Processes
  • Figure 4: Example of Types of Digital Twinning
  • Figure 5: Industrial Internet Building Block and Digital Twinning
  • Figure 6: Additive Manufacturing Path and Goals
  • Figure 7: Digital Thread for Additive Manufacturing in AM Process
  • Figure 8: Data Fusion for MRO Operation
  • Figure 9: Composite Manufacturing Model
  • Figure 10: Digital Twinning Application and Outcomes
  • Figure 11: Global Digital Twins 2023 - 2028
  • Figure 12: Digital Twins Types 2023 - 2028
  • Figure 13: Digital Twins Applications 2023 - 2028
  • Figure 14: Digital Twins by Industry 2023 - 2028
  • Figure 15: Digital Twins in Manufacturing by Type 2023 - 2028
  • Figure 16: Digital Twins in Manufacturing by Application 2023 - 2028
  • Figure 17: Digital Twins in Smart City by Type 2023 - 2028
  • Figure 18: Digital Twins in Smart City by Application 2023 - 2028
  • Figure 19: Digital Twins in Automotive by Type 2023 - 2028
  • Figure 20: Digital Twins in Automotive by Application 2023 - 2028
  • Figure 21: Digital Twins in Healthcare by Type 2023 - 2028
  • Figure 22: Digital Twins in Healthcare by Application 2023 - 2028
  • Figure 23: Digital Twins in Transport by Type 2023 - 2028
  • Figure 24: Digital Twins in Transport by Application 2023 - 2028
  • Figure 25: Digital Twins by Region 2023 - 2028
  • Figure 26: North America Digital Twins by Country 2023 - 2028
  • Figure 27: North America Digital Twins by Industry 2023 - 2028
  • Figure 28: United States Digital Twins 2023 - 2028
  • Figure 29: Canada Digital Twins 2023 - 2028
  • Figure 30: Mexico Digital Twins 2023 - 2028
  • Figure 31: South America Digital Twins by Country 2023 - 2028
  • Figure 32: South America Digital Twins by Industry 2023 - 2028
  • Figure 33: Argentina Digital Twins 2023 - 2028
  • Figure 34: Brazil Digital Twins 2023 - 2028
  • Figure 35: Chile Digital Twins 2023 - 2028
  • Figure 36: Europe Digital Twins by Country 2023 - 2028
  • Figure 37: Europe Digital Twins by Industry 2023 - 2028
  • Figure 28: U.K. Digital Twins 2023 - 2028
  • Figure 39: Germany Digital Twins 2023 - 2028
  • Figure 40: France Digital Twins 2023 - 2028
  • Figure 41: Spain Digital Twins 2023 - 2028
  • Figure 42: Italy Digital Twins 2023 - 2028
  • Figure 43: Poland Digital Twins 2023 - 2028
  • Figure 44: Russia Digital Twins 2023 - 2028
  • Figure 45: APAC Digital Twins by Country 2023 - 2028
  • Figure 46: APAC Digital Twins by Industry 2023 - 2028
  • Figure 47: China Digital Twins 2023 - 2028
  • Figure 48: Japan Digital Twins 2023 - 2028
  • Figure 49: South Korea Digital Twins 2023 - 2028
  • Figure 50: Australia Digital Twins 2023 - 2028
  • Figure 51: India Digital Twins 2023 - 2028
  • Figure 52: MEA Digital Twins by Country 2023 - 2028
  • Figure 53: MEA Digital Twins by Industry 2023 - 2028
  • Figure 54: Qatar Digital Twins 2023 - 2028
  • Figure 55: Kuwait Digital Twins 2023 - 2028
  • Figure 56: Saudi Arabia Digital Twins 2023 - 2028
  • Figure 57: South Africa Digital Twins 2023 - 2028

Tables

  • Table 1: Global Digital Twins 2023 - 2028
  • Table 2: Digital Twins Market by Type of Twinning 2023 - 2028
  • Table 3: Digital Twins Applications 2023 - 2028
  • Table 4: Digital Twins by Industry 2023 - 2028
  • Table 5: Digital Twins in Manufacturing by Type 2023 - 2028
  • Table 6: Digital Twins in Manufacturing by Application 2023 - 2028
  • Table 7: Digital Twins in Smart City by Type 2023 - 2028
  • Table 8: Digital Twins in Smart City by Application 2023 - 2028
  • Table 9: Digital Twins in Automotive by Type 2023 - 2028
  • Table 10: Digital Twins in Automotive by Application 2023 - 2028
  • Table 11: Digital Twins in Healthcare by Type 2023 - 2028
  • Table 12: Digital Twins in Healthcare by Application 2023 - 2028
  • Table 13: Digital Twins in Transport by Type 2023 - 2028
  • Table 14: Digital Twins in Transport by Application 2023 - 2028
  • Table 15: Digital Twins by Region 2023 - 2028
  • Table 16: North America Digital Twins by Country 2023 - 2028
  • Table 17: North America Digital Twins by Industry 2023 - 2028
  • Table 18: South America Digital Twins by Country 2023 - 2028
  • Table 19: South America Digital Twins by Industry 2023 - 2028
  • Table 20: Europe Digital Twins by Country 2023 - 2028
  • Table 21: Europe Digital Twins by Industry 2023 - 2028
  • Table 22: APAC Digital Twins by Country 2023 - 2028
  • Table 23: APAC Digital Twins by Industry 2023 - 2028
  • Table 24: MEA Digital Twins by Country 2023 - 2028
  • Table 25: MEA Digital Twins by Industry 2023 - 2028
目次

Overview:

This report evaluates digital twinning technology, solutions, use cases, and leading company efforts in terms of R&D and early deployments. The report assesses the digital twin product and service ecosystem including application development and operations. This includes consideration of use cases by industry vertical.

The report also analyzes technologies supporting and benefiting from digital twinning. The report also provides detailed forecasts covering digital twinning solutions in many market segments and use cases including manufacturing simulations, predictive analytics, and more from 2023 to 2028 with global, regional, and major country forecasts.

Select Report Findings:

  • We found 47% of IT decision makers have never heard of digital twins
  • Digital twin supported solutions in smart cities will reach $5.2 billion by 2028
  • Over 94% of all IoT Platforms will contain some form of digital twinning capability by 2028
  • Digital twinning will become standard feature/functionality for IoT Application Enablement by 2028
  • Leading digital twin solutions involve Asset Twinning, Component Twinning, System Twinning, Process and Workflow Twinning
  • Over 96% of vendors recognize the need for IIoT APIs and platform integration with digital twinning functionality for industrial verticals
  • Over 42% of executives across a broad spectrum of industry verticals understand the benefits of digital twinning and 59% of them plan to incorporate within their operations by 2028

A digital twin is a virtual object representation of a real-world item in which the virtual is mapped to physical things in the real world such as equipment, robots, or virtually any connected business asset. This mapping in the digital world is facilitated by IoT platforms and software that is leveraged to create a digital representation of the physical asset.

The digital twin of a physical asset can provide data about its status such as its physical state and disposition. Conversely, a digital object may be used to manipulate and control a real-world asset by way of teleoperation. The publisher of this report sees this form of cyber-physical connectivity, signaling, and control as a key capability to realize the vision for Industry 4.0 to fully digitize production, servitization, and the `as a service` model for products.

There are many potential use cases for digital twinning including monitoring, simulation, and remote control of physical assets with virtual objects. Solutions focus on Part, Product, Process, and System twinning. Leading digital twin solutions involve Asset Twinning, Component Twinning, System Twinning, Process and Workflow Twinning. We see digital twinning playing a key role in many related IoT operations processes including IoT application development, testing, and control.

The implementation of digital twins will also enable distributed remote control of assets, which will place an increasingly heavy burden on IoT Identity management, authentication, and authorization. IoT authentication market solutions are also important in support of the "things" involved in IoT, which vary from devices used to detect, actuate, signal, engage, and more. This will become particularly important with respect to digital twin solution integration.

As reflected by the Digital Twin Consortium, we see some of the key industries to lead cyber-to-physical integration and solutions include aerospace, healthcare, manufacturing, military, natural resources, and public safety sectors. In terms of integrating digital twin technology and solutions with telecommunications and enterprise infrastructure, we see a need for careful planning from a systems integration, testing, and implementation perspective. This will be especially important in the case of mission-critical applications.

Companies in Report:

  • ABB
  • Allerin Tech Pvt. Ltd.
  • Altair Engineering, Inc.
  • Amazon Web Services
  • ANSYS
  • Aucotec AG
  • Autodesk Inc.
  • Bentley Systems, Incorporated
  • CADFEM GmbH
  • Cisco Systems
  • Cityzenith
  • Cosmo Tech
  • Dassault Systems
  • Digital Twin Consortium
  • Digital Twin Technologies
  • DNV GL
  • DXC Technology
  • Eclipse Foundation
  • Emerson
  • Emesent
  • Faststream Technologies
  • FEINGUSS BLANK GmbH
  • Flowserve
  • Forward Networks
  • General Electric
  • Google
  • Hitachi Ltd.
  • Honeywell
  • HP
  • IBM
  • Industrial Internet Consortium
  • Intellias
  • Invicara
  • KBMax
  • Lanner Electronics
  • Microsoft
  • National Instruments
  • NavVis
  • Oracle
  • PETRA Data Science
  • Physical Web
  • Pratiti Technologies
  • Prodea System Inc.,
  • PTC
  • QiO Technologies
  • Robert Bosch
  • SAP
  • Schneider
  • SenSat
  • Siemens
  • Sight Machine Inc.
  • Simplifa GmbH
  • Softweb Solutions Inc.
  • Sogeti Group
  • SWIM.AI
  • Synavision
  • Sysmex Corporation
  • TIBCO Software
  • Toshiba Corporation
  • UrsaLeo
  • Virtalis Limited
  • Visualiz
  • Wipro Limited
  • XenonStack
  • Zest Labs

Table of Contents

1.0. Executive Summary

2.0. Introduction

  • 2.1. Overview
    • 2.1.1. Understanding Digital Twinning
    • 2.1.2. Cognitive Digital Twining
    • 2.1.3. Digital Thread
    • 2.1.4. Convergence of Sensors and Simulations
    • 2.1.5. IoT APIs
    • 2.1.6. Software Modules and Elements
    • 2.1.7. Types of Digital Twinning
    • 2.1.8. Digital Twinning Work Processes
    • 2.1.9. Role and Importance of Digital Twinning
  • 2.2. Related Technologies and Impact on Digital Twinning
    • 2.2.1. Industrial Internet and Industry 4.0
    • 2.2.2. Pairing Technology
    • 2.2.3. Cyber-to-Physical Systems
    • 2.2.4. AR, VR, and Mixed Reality
    • 2.2.5. Artificial Intelligence and Machine Learning
    • 2.2.6. Additive Manufacturing and 3D Printing
  • 2.3. Potential Application and Outcome Analysis
    • 2.3.1. Maintenance, Repair and Overhaul Operation
    • 2.3.2. Digital Avatar of Consumer Assets
    • 2.3.3. Performance/Service Monitoring
    • 2.3.4. Inspection and Repairs
    • 2.3.5. Predictive Maintenance
    • 2.3.6. Product Design & Development
    • 2.3.7. Composite Assembling/Manufacturing
    • 2.3.8. Potential Business Outcomes
  • 2.4. Digital Twinning Service Ecosystem
    • 2.4.1. Industrial IoT
    • 2.4.2. Consumer IoT
    • 2.4.3. Industry Development
    • 2.4.4. Digital Twinning as a Service

3.0. Digital Twins Company Assessment

  • 3.1. ABB
  • 3.2. Allerin Tech Pvt. Ltd.
  • 3.3. Altair Engineering, Inc.
  • 3.4. Amazon Web Services
  • 3.5. ANSYS
  • 3.6. Aucotec AG
  • 3.7. Autodesk Inc.
  • 3.8. Bentley Systems, Incorporated
  • 3.9. CADFEM GmbH
  • 3.10. Cisco Systems
  • 3.11. Cityzenith
  • 3.12. Cosmo Tech
  • 3.13. Dassault Systems
  • 3.14. Digital Twin Consortium
  • 3.15. Digital Twin Technologies
  • 3.16. DNV GL
  • 3.17. DXC Technology
  • 3.18. Eclipse Foundation
  • 3.19. Emerson
  • 3.20. Emesent
  • 3.21. Faststream Technologies
  • 3.22. FEINGUSS BLANK GmbH
  • 3.23. Flowserve
  • 3.24. Forward Networks
  • 3.25. General Electric
  • 3.26. Google
  • 3.27. Hitachi Ltd.
  • 3.28. Honeywell
  • 3.29. HP
  • 3.30. IBM
  • 3.31. Industrial Internet Consortium
  • 3.32. Intellias
  • 3.33. Invicara
  • 3.34. KBMax
  • 3.35. Lanner Electronics
  • 3.36. Microsoft
  • 3.37. National Instruments
  • 3.38. NavVis
  • 3.39. Oracle
  • 3.40. PETRA Data Science
  • 3.41. Physical Web
  • 3.42. Pratiti Technologies
  • 3.43. Prodea System Inc.
  • 3.44. PTC
  • 3.45. QiO Technologies
  • 3.46. Robert Bosch
  • 3.47. SAP
  • 3.48. Schneider
  • 3.49. SenSat
  • 3.50. Siemens
  • 3.51. Sight Machine Inc.
  • 3.52. Simplifa GmbH
  • 3.53. Softweb Solutions Inc.
  • 3.54. Sogeti Group
  • 3.55. SWIM.AI
  • 3.56. Synavision
  • 3.57. Sysmex Corporation
  • 3.58. TIBCO Software
  • 3.59. Toshiba Corporation
  • 3.60. UrsaLeo
  • 3.61. Virtalis Limited
  • 3.62. Visualiz
  • 3.63. Wipro Limited
  • 3.64. XenonStack
  • 3.65. Zest Labs

4.0. Digital Twins Market Analysis and Forecasts 2023 to 2028

  • 4.1. Global Digital Twins 2023-2028
  • 4.2. Digital Twins Market by Type of Twinning 2023-2028
  • 4.3. Digital Twins Applications 2023-2028
  • 4.4. Digital Twins by Industry 2023-2028
    • 4.4.1. Digital Twins in Manufacturing by Type 2023-2028
    • 4.4.2. Digital Twins in Smart City by Type 2023-2028
    • 4.4.3. Digital Twins in Automotive by Type 2023-2028
    • 4.4.4. Digital Twins in Healthcare by Type 2023-2028
    • 4.4.5. Digital Twins in Transport by Type 2023-2028
  • 4.5. Digital Twins by Region 2023-2028
    • 4.5.1. North America Digital Twins 2023-2028
    • 4.5.2. South America Digital Twins 2023-2028
    • 4.5.3. Europe Digital Twins 2023-2028
    • 4.5.4. APAC Digital Twins 2023-2028
    • 4.5.5. MEA Digital Twins 2023-2028

5.0. Conclusions and Recommendations