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市场调查报告书
商品编码
1621700

工业元宇宙市场机会、成长动力、产业趋势分析及2024年至2032年预测

Industrial Metaverse Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023年全球工业元宇宙市场价值为224亿美元，预计2024年至2032年复合年增长率为29.5%。数位孪生允许公司创建真实流程、资产和设备的虚拟模型，从而实现更好的预测性维护、增强资源最佳化和改进风险管理。这可以提高营运效率并促进永续的商业实践。此外，工业虚拟世界正在彻底改变劳动力培训，特别是在製造、能源和建筑等行业。

透过虚拟环境，公司可以模拟现实场景，为高风险任务提供实务培训，而不会让工人面临实际危险。随着企业努力减少事故并提高生产力，在培训项目中使用虚拟实境 (VR) 和扩增实境 (AR) 的势头越来越大。对工人安全的日益关注预计将进一步推动基于元宇宙的培训解决方案的采用。根据组织规模，到 2023 年，大型企业部门将占据超过 68% 的份额。

透过整合数位孪生、基于人工智慧的分析和沈浸式平台，他们可以监控和模拟复杂的流程、识别低效率并预测结果。这种在虚拟环境中微调操作的能力可以节省成本并提高生产力。工业虚拟宇宙市场也按最终用途领域划分，包括汽车、医疗保健、物流和运输、製造、能源和公用事业等。 2023年，汽车领域将占据25%的市场。

市场范围
开始年份 2023年
预测年份 2024-2032
起始值 224亿美元
预测值 2,243 亿美元
复合年增长率 29.5%

该产业正在使用元宇宙技术来增强产品设计、测试和开发。透过整合虚拟实境、数位孪生和人工智慧，汽车公司可以模拟车辆性能、测试安全协议并优化设计，从而减少对实体原型的需求并缩短上市时间。美国主导的工业虚拟宇宙市场在2023 年占据超过88% 的份额，预计到2032 年将超过500 亿美元。 这种领先地位归功于该国强大的技术基础设施和创新中心，特别是在硅谷等地区。主要技术参与者正在推动元宇宙平台的进步，各行业正在利用该平台进行操作、模拟和培训。

美国的工业基础，特别是在製造、物流和航太等领域，正在迅速采用这些技术来提高效率并推动数位转型。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

  • 产业生态系统分析
  • 供应商格局
    • 零件供应商
    • 技术提供者
    • 软体供应商
    • 服务商
    • 最终用途
  • 利润率分析
  • 技术与创新格局
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 先进的仿真和数位孪生技术集成
      • 对沉浸式 3D 环境的需求激增
      • 工业自动化和物联网采用的成长
      • 加强全球供应链的协作
    • 产业陷阱与挑战
      • 平台无缝整合的技术壁垒
      • 网路安全风险和潜在的资料洩露
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章：竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

  • 主要趋势
  • 硬体
    • AR/VR设备
    • 触觉设备
    • 感应器
    • 工业机器人
    • 其他的
  • 软体
    • 数位孪生
    • 3D模拟软体
    • 沉浸式协作平台
    • 人工智慧和机器学习演算法
    • 区块链和网路安全解决方案
  • 服务
    • 专业的
    • 託管

第 6 章：市场估计与预测：依技术分类，2021 - 2032

  • 主要趋势
  • 虚拟实境（VR）
  • 人工智慧（AI）
  • 数位孪生
  • 区块链
  • 专网5G
  • 边缘运算

第 7 章：市场估计与预测：依应用分类，2021 - 2032

  • 主要趋势
  • 产品设计与开发
  • 虚拟样机
  • 训练与模拟
  • 远端协作
  • 供应链优化
  • 其他的

第 8 章：市场估计与预测：依组织规模，2021 - 2032

  • 主要趋势
  • 大型企业
  • 中小企业

第 9 章：市场估计与预测：依最终用途，2021 - 2032 年

  • 主要趋势
  • 汽车
  • 卫生保健
  • 物流运输
  • 製造业
  • 能源和公用事业
  • 其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 俄罗斯
    • 北欧人
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 东南亚
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 墨西哥
  • MEA
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯

第 11 章：公司简介

  • 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
简介目录
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 Year2023
Forecast Year2024-2032
Start Value$22.4 Billion
Forecast Value$224.3 Billion
CAGR29.5%

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.

Table of Contents

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

Chapter 11 Company Profiles

  • 11.1 ABB
  • 11.2 Alphabet
  • 11.3 Amazon Web Services
  • 11.4 Ansys
  • 11.5 Dassault Systemes
  • 11.6 Dell
  • 11.7 GE VERNOVA
  • 11.8 HTC
  • 11.9 IBM
  • 11.10 Intel
  • 11.11 Meta
  • 11.12 Microsoft
  • 11.13 Nokia
  • 11.14 NVIDIA
  • 11.15 PTC
  • 11.16 Samsung
  • 11.17 Schneider
  • 11.18 Siemens AG
  • 11.19 Sony
  • 11.20 ZTE