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虛擬實境元宇宙

市場調查報告書

商品編碼

1621700

工業元宇宙市場機會、成長動力、產業趨勢分析及2024年至2032年預測

Industrial Metaverse Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 2032

出版日期: 2024年10月17日 | 出版商:

Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

2023年全球工業元宇宙市場價值為224億美元，預計2024年至2032年複合年成長率為29.5%。數位孿生允許公司創建真實流程、資產和設備的虛擬模型，從而實現更好的預測性維護、增強資源最佳化和改進風險管理。這可以提高營運效率並促進永續的商業實踐。此外，工業虛擬世界正在徹底改變勞動力培訓，特別是在製造、能源和建築等行業。

透過虛擬環境，公司可以模擬現實場景，為高風險任務提供實務培訓，而不會讓工人面臨實際危險。隨著企業努力減少事故並提高生產力，在培訓項目中使用虛擬實境 (VR) 和擴增實境 (AR) 的勢頭越來越大。對工人安全的日益關注預計將進一步推動基於元宇宙的培訓解決方案的採用。根據組織規模，到 2023 年，大型企業部門將佔據超過 68% 的佔有率。

透過整合數位孿生、基於人工智慧的分析和沈浸式平台，他們可以監控和模擬複雜的流程、識別低效率並預測結果。這種在虛擬環境中微調操作的能力可以節省成本並提高生產力。工業虛擬宇宙市場也按最終用途領域分類，包括汽車、醫療保健、物流和運輸、製造、能源和公用事業等。 2023年，汽車領域將佔據25%的市場。

市場範圍
開始年份	2023年
預測年份	2024-2032
起始值	224億美元
預測值	2,243 億美元
複合年成長率	29.5%

該產業正在使用元宇宙技術來增強產品設計、測試和開發。透過整合虛擬實境、數位孿生和人工智慧，汽車公司可以模擬車輛性能、測試安全協議並最佳化設計，從而減少對實體原型的需求並縮短上市時間。美國主導的工業虛擬宇宙市場在2023 年佔據超過88% 的佔有率，預計到2032 年將超過500 億美元。這種領先地位歸功於該國強大的技術基礎設施和創新中心，特別是在矽谷等地區。主要技術參與者正在推動元宇宙平台的進步，各行業正在利用該平台進行操作、模擬和培訓。

美國的工業基礎，特別是在製造、物流和航太等領域，正在迅速採用這些技術來提高效率並推動數位轉型。

產業生態系統分析
供應商格局
- 零件供應商
- 技術提供者
- 軟體供應商
- 服務商
- 最終用途
利潤率分析
技術與創新格局
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 先進的仿真和數位孿生技術整合
  - 對沉浸式 3D 環境的需求激增
  - 工業自動化和物聯網採用的成長
  - 加強全球供應鏈的協作
- 產業陷阱與挑戰
  - 平台無縫整合的技術壁壘
  - 網路安全風險和潛在的資料洩露
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
硬體
- AR/VR設備
- 觸覺設備
- 感應器
- 工業機器人
- 其他
軟體
- 數位孿生
- 3D模擬軟體
- 沉浸式協作平台
- 人工智慧和機器學習演算法
- 區塊鏈和網路安全解決方案
服務
- 專業的
- 託管

第 6 章：市場估計與預測：依技術分類，2021 - 2032

主要趨勢
虛擬實境（VR）
人工智慧（AI）
數位孿生
區塊鏈
專網5G
邊緣運算

第 7 章：市場估計與預測：依應用分類，2021 - 2032

主要趨勢
產品設計與開發
虛擬樣機
訓練與模擬
遠端協作
供應鏈最佳化
其他

第 8 章：市場估計與預測：依組織規模，2021 - 2032

主要趨勢
大型企業
中小企業

第 9 章：市場估計與預測：依最終用途，2021 - 2032 年

主要趨勢
汽車
衛生保健
物流運輸
製造業
能源和公用事業
其他

第 10 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 西班牙
- 義大利
- 俄羅斯
- 北歐人
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳洲
- 東南亞
拉丁美洲
- 巴西
- 阿根廷
- 墨西哥
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯

第 11 章：公司簡介

ABB
Alphabet
Amazon Web Services
Ansys
Dassault Systemes
Dell
GE VERNOVA
HTC
IBM
Intel
Meta
Microsoft
Nokia
NVIDIA
PTC
Samsung
Schneider
Siemens AG
Sony
ZTE

簡介目錄

Product Code: 11885

The Global Industrial Metaverse Market was valued at USD 22.4 billion in 2023 and is expected to grow at a CAGR of 29.5% from 2024 to 2032. The surge in digital twin technology adoption across industries such as manufacturing and logistics is a significant factor propelling this growth. Digital twins allow companies to create virtual models of real-world processes, assets, and equipment, enabling better predictive maintenance, enhanced resource optimization, and improved risk management. This leads to greater operational efficiency and promotes sustainable business practices. Additionally, the industrial metaverse is revolutionizing workforce training, especially in sectors like manufacturing, energy, and construction.

Through virtual environments, companies can simulate real-world scenarios, providing hands-on training for high-risk tasks without exposing workers to actual dangers. The use of virtual reality (VR) and augmented reality (AR) in training programs is gaining momentum as businesses strive to reduce accidents and boost productivity. The increasing focus on worker safety is expected to further drive the adoption of metaverse-based training solutions. Based on organization size, the large enterprises segment held over 68% share in 2023. These companies are utilizing the industrial metaverse to enhance resource managers and increase their operations efficiently.

By incorporating digital twins, AI-based analytics, and immersive platforms, they can monitor and simulate complex processes, identify inefficiencies, and predict outcomes. This ability to fine-tune operations in virtual environments translates into cost savings and productivity gains. The industrial metaverse market is also divided by end-use sectors, including automotive, healthcare, logistics & transportation, manufacturing, energy & utilities, and others. In 2023, the automotive sector accounted for 25% of the market share.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$22.4 Billion
Forecast Value	$224.3 Billion
CAGR	29.5%

The industry is using metaverse technologies to enhance product design, testing, and development. By integrating virtual reality, digital twins, and AI, automotive companies can simulate vehicle performance, test safety protocols, and optimize designs, reducing the need for physical prototypes and shortening time-to-market. The U.S. dominated industrial metaverse market held over 88% share in 2023 and is projected to surpass USD 50 billion by 2032. This leadership is due to the country's strong technology infrastructure and innovation hubs, particularly in regions like Silicon Valley. Major tech players are driving advancements in metaverse platforms, which industries are leveraging for operations, simulations, and training.

The U.S. industrial base, especially in sectors like manufacturing, logistics, and aerospace, is rapidly embracing these technologies to boost efficiency and drive digital transformation.

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research & validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Industry synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Component supplier
- 3.2.2 Technology provider
- 3.2.3 Software provider
- 3.2.4 Service provider
- 3.2.5 End use
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Key news & initiatives
3.6 Regulatory landscape
3.7 Impact forces
- 3.7.1 Growth drivers
  - 3.7.1.1 Advanced simulation & digital twin technology integration
  - 3.7.1.2 Surge in demand for immersive 3D environments
  - 3.7.1.3 Growth in industrial automation & IoT adoption
  - 3.7.1.4 Enhanced collaboration across global supply chains
- 3.7.2 Industry pitfalls & challenges
  - 3.7.2.1 Technological barriers in seamless platform integration
  - 3.7.2.2 Cybersecurity risks and potential data breaches
3.8 Growth potential analysis
3.9 Porter's analysis
3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Hardware
- 5.2.1 AR/VR devices
- 5.2.2 Haptic devices
- 5.2.3 Sensors
- 5.2.4 Industrial robots
- 5.2.5 Others
5.3 Software
- 5.3.1 Digital twin
- 5.3.2 3D simulation software
- 5.3.3 Immersive collaboration platforms
- 5.3.4 Ai & machine learning algorithms
- 5.3.5 Blockchain & cybersecurity solutions
5.4 Services
- 5.4.1 Professional
- 5.4.2 Managed

Chapter 6 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 Virtual Reality (VR)
6.3 Artificial Intelligence (AI)
6.4 Digital twin
6.5 Blockchain
6.6 Private 5G
6.7 Edge computing

Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 Product design & development
7.3 Virtual prototyping
7.4 Training & simulation
7.5 Remote collaboration
7.6 Supply chain optimization
7.7 Others

Chapter 8 Market Estimates & Forecast, By Organization Size, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Large enterprises
8.3 SME

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

9.1 Key trends
9.2 Automotive
9.3 Healthcare
9.4 Logistics & transportation
9.5 Manufacturing
9.6 Energy and utilities
9.7 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Spain
- 10.3.5 Italy
- 10.3.6 Russia
- 10.3.7 Nordics
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 Australia
- 10.4.6 Southeast Asia
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Argentina
- 10.5.3 Mexico
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia