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Industrial Metaverse

The Global Industrial Metaverse Market 2025-2035

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  • Published: September 2024
  • Pages: 533
  • Tables: 35
  • Figures: 54
  • Companies profiled: 300+

 

The industrial metaverse market is emerging as a transformative force in manufacturing, engineering, and industrial operations. This innovative sector merges the physical and digital worlds, creating immersive and intelligent industrial environments that promise to revolutionize productivity, efficiency, and innovation across various industries. At its core, the industrial metaverse is built on a foundation of advanced technologies. These include extended reality (XR) encompassing virtual, augmented, and mixed reality; artificial intelligence and machine learning; Internet of Things (IoT) and its industrial counterpart (IIoT); 5G and advanced networking; edge computing and cloud infrastructure; digital twins and simulation; and blockchain technologies. This technological convergence enables unprecedented levels of visualization, analysis, and control in industrial settings.

The applications of the industrial metaverse span a wide range of sectors, including automotive and aerospace manufacturing, energy and utilities, healthcare and life sciences, construction and engineering, and supply chain logistics. Key use cases include virtual product design, remote collaboration, predictive maintenance, worker training, and optimized production processes. These applications are driving significant improvements in operational efficiency, product quality, and worker safety. Market projections indicate substantial growth for the industrial metaverse from 2025 to 2035. This growth is fuelled by increasing demand for efficiency, the rise of remote work trends, and the pressing need for sustainable manufacturing practices. The market ecosystem is diverse, comprising established tech giants, specialized industrial technology providers, and innovative start-ups across hardware, software, and services sectors. While the industrial metaverse offers immense potential, it also faces challenges such as high initial investment costs, integration complexities with legacy systems, and cybersecurity concerns. However, these challenges are counterbalanced by opportunities for new business models, enhanced customer experiences, and improved sustainability practices.

The development of the industrial metaverse is influenced by evolving regulations around data privacy, intellectual property, and environmental sustainability. Its societal and economic impact is expected to be significant, reshaping workforce skills, job roles, and economic productivity. It also holds promise for environmental sustainability through optimized resource use and reduced waste in industrial processes. As technologies mature and adoption increases, the industrial metaverse is set to become an integral part of industrial operations, driving innovation and competitiveness across global industries. This paradigm shift offers a vision of fully digitalized, intelligent, and interconnected manufacturing ecosystems, poised to reshape the future of industry by driving efficiency, innovation, and sustainability in the years to come.

This comprehensive market research report provides an in-depth analysis of the global industrial metaverse market from 2025 to 2035, exploring key trends, technologies, applications, and growth opportunities. As Industry 4.0 evolves into the industrial metaverse, manufacturers and industrial enterprises are leveraging immersive technologies, artificial intelligence, digital twins, and other innovations to create virtual replicas of factories, enhance collaboration, optimize operations, and drive productivity. This report examines how the convergence of the physical and digital realms is ushering in a new era of industrial transformation.

Report contents include:

  • Analysis of core enabling technologies, including:
    • Extended Reality (XR) - AR, VR and MR
    • Artificial Intelligence and Machine Learning
    • Internet of Things (IoT) and Industrial IoT
    • 5G and Future Networks
    • Edge Computing and Cloud Infrastructure
    • Blockchain and Distributed Ledgers
    • 3D Scanning/Modeling
    • The report analyzes technology readiness levels, adoption trends, and forecasts across different time horizons. Emerging technologies like quantum computing, brain-computer interfaces, and advanced robotics are also explored.
  • Detailed analysis of industrial metaverse applications across key verticals:
    • Automotive
    • Aerospace
    • Chemicals and Materials Manufacturing
    • Energy
    • Healthcare and Life Sciences
    • Construction and Engineering
    • Supply Chain and Logistics
    • Retail
  • Competitive Landscape: Comprehensive profiles of over 300 companies across the industrial metaverse value chain, including:
      • AR/VR/MR hardware and software providers
      • AI and analytics companies
      • IoT and sensor manufacturers
      • Cloud and edge computing players
      • Digital twin and simulation software vendors
      • Blockchain startups
      • Companies profiled include Aize, ArborXR, Armada, Atlis Labs, Ansys, CyDeploy, Dexory, Distance Technologies, Finboot, Hololight, Meta, Nearby Computing, NTT DATA, NVIDIA, Prevu3D, Qualcomm Inc, Siemens, Space and Time (SxT), Seeq and Vuzix. The report provides insights into key players' technologies, product offerings, partnerships, and market positioning.
  • Regulatory landscape and standards development
  • Social and economic impact assessment
  • Evolution from Industry 4.0 to the industrial metaverse, examining technological convergence and the shift towards immersive experiences. Current market dynamics, size, and growth projections are provided, along with analysis of regional trends and the competitive landscape.
  • Challenges and barriers like integration complexities, skills gaps, and high initial costs are also examined.
  • Comprehensive overview of the industrial metaverse ecosystem, from hardware and software components to platforms and services. It analyzes adoption trends across manufacturing, automotive, aerospace, energy, healthcare, and other key industrial sectors. Readers will gain insights into how technologies like digital twins, AR/VR, AI-enabled analytics, and next-generation networking are converging to enable immersive, intelligent industrial environments.

 

Key Questions Answered:

  • What is the projected size and growth rate of the global industrial metaverse market through 2035?
  • Which technologies are most critical in enabling industrial metaverse applications?
  • What are the key use cases and applications across different industry verticals?
  • Who are the leading vendors and innovators in the industrial metaverse ecosystem?
  • What challenges and barriers may inhibit adoption?
  • How will the industrial metaverse impact workforce skills, productivity, and sustainability?
  • What regulatory and standardization efforts are shaping the market?

 

This report is an essential resource for:

  • Manufacturing and industrial enterprises
  • Technology vendors and solution providers
  • Investors and financial analysts
  • Government agencies and policymakers
  • Researchers and consultants

 

With over 500 pages of in-depth analysis, this report provides unparalleled insights into the transformative potential of the industrial metaverse. Leveraging extensive primary and secondary research, it offers a comprehensive roadmap of this emerging market as it develops over the next decade. As the lines between physical and digital continue to blur, the industrial metaverse promises to revolutionize how products are designed, manufactured, and maintained. This report is crucial reading for any organization looking to understand and capitalize on the next wave of industrial innovation.

 

1             EXECUTIVE SUMMARY            21

  • 1.1        Definition of the Industrial Metaverse            21
    • 1.1.1    Key Characteristics   23
    • 1.1.2    Differentiation from Consumer Metaverse 25
  • 1.2        Evolution of Industry 4.0 to the Industrial Metaverse           26
    • 1.2.1    Historical Context       27
    • 1.2.2    Technological Convergence 29
  • 1.3        Industrial metaverse ecosystem       29
  • 1.4        Metaverse enabling technologies     33
    • 1.4.1    Artificial Intelligence 33
    • 1.4.2    Cross, Virtual, Augmented and Mixed Reality           35
    • 1.4.3    Blockchain      36
    • 1.4.4    Edge computing           37
    • 1.4.5    Cloud computing        39
    • 1.4.6    Digital Twin      41
    • 1.4.7    3D Modeling/Scanning            42
    • 1.4.8    Industrial Internet of Things (IIoT)     44

 

2             MARKET OVERVIEW  45

  • 2.1        Market Evolution         45
    • 2.1.1    Precursors to the Industrial Metaverse          46
      • 2.1.1.1 Virtual Reality in Industrial Design   46
      • 2.1.1.2 Augmented Reality in Manufacturing            47
      • 2.1.1.3 Digital Twin Concepts in Industry 4.0            48
    • 2.1.2    Transition from Industry 4.0 to Industrial Metaverse            49
    • 2.1.3    Unmet business needs addressed by the metaverse          50
    • 2.1.4    Convergence of Physical and Digital Realms           51
    • 2.1.5    Shift from Connectivity to Immersive Experiences                51
    • 2.1.6    Evolution of Human-Machine Interaction   52
  • 2.2        Current Market Landscape (2024)  54
    • 2.2.1    Market Size and Growth Rate              54
      • 2.2.1.1 Comparison with Related Markets (e.g., IoT, AR/VR)            57
    • 2.2.2    Market players               61
    • 2.2.3    Regional Market Dynamics   62
      • 2.2.3.1 North America              64
      • 2.2.3.2 Europe                65
      • 2.2.3.3 Asia-Pacific    65
      • 2.2.3.4 Rest of the World         66
    • 2.2.4    Investment Landscape            66
      • 2.2.4.1 Venture Capital Funding         68
      • 2.2.4.2 Corporate Investments           68
      • 2.2.4.3 Government and Public Funding Initiatives                70
  • 2.3        Key Market Drivers      71
  • 2.4        Technological Advancements             72
    • 2.4.1    Improvements in XR Hardware           72
    • 2.4.2    Advancements in AI and Machine Learning               73
    • 2.4.3    5G and Edge Computing Proliferation           74
    • 2.4.4    Industry 4.0 Initiatives              76
      • 2.4.4.1 Smart Factory Implementations       76
      • 2.4.4.2 Digital Transformation Strategies      76
      • 2.4.4.3 Industrial IoT Adoption             77
    • 2.4.5    Demand for Increased Efficiency and Productivity               77
      • 2.4.5.1 Cost Reduction Imperatives 78
      • 2.4.5.2 Quality Improvement Initiatives         78
      • 2.4.5.3 Time-to-Market Acceleration               79
    • 2.4.6    Remote Work and Collaboration Trends      80
      • 2.4.6.1 Impact of Global Events         80
      • 2.4.6.2 Distributed Workforce Management              80
      • 2.4.6.3 Cross-border Collaboration Needs 81
    • 2.4.7    Sustainability and Environmental Concerns             81
      • 2.4.7.1 Carbon Footprint Reduction Goals 81
      • 2.4.7.2 Resource Optimization Efforts           82
      • 2.4.7.3 Circular Economy Initiatives                83
  • 2.5        Market Challenges and Barriers        84
    • 2.5.1    Technological Limitations     85
      • 2.5.1.1 Hardware Constraints (e.g., Battery Life, Comfort)               85
      • 2.5.1.2 Software Integration Complexities  86
      • 2.5.1.3 Latency and Bandwidth Issues          87
    • 2.5.2    Integration Complexities        87
      • 2.5.2.1 Legacy System Compatibility              87
      • 2.5.2.2 Interoperability Standards    88
      • 2.5.2.3 Data Integration and Management  88
    • 2.5.3    Skill Gaps and Workforce Readiness             89
      • 2.5.3.1 Technical Skill Shortages       89
      • 2.5.3.2 Change Management Challenges    90
      • 2.5.3.3 Training and Education Needs            91
    • 2.5.4    Data Security and Privacy Concerns              91
      • 2.5.4.1 Cybersecurity Risks  91
      • 2.5.4.2 Intellectual Property Protection         92
      • 2.5.4.3 Regulatory Compliance Challenges               92
    • 2.5.5    High Initial Investment Costs              93
      • 2.5.5.1 Infrastructure Setup Expenses           93
      • 2.5.5.2 Software Licensing and Development Costs            94
      • 2.5.5.3 ROI Justification Challenges                95
  • 2.6        Opportunities in the Industrial Metaverse   96
    • 2.6.1    New Business Models              96
      • 2.6.1.1 Industrial Metaverse-as-a-Service   96
      • 2.6.1.2 Virtual Asset Marketplaces   96
      • 2.6.1.3 Subscription-based Digital Twin Services   97
    • 2.6.2    Sustainability and Green Initiatives 98
      • 2.6.2.1 Virtual Prototyping for Reduced Material Waste     98
      • 2.6.2.2 Energy Optimization through Digital Twins 99
      • 2.6.2.3 Sustainable Supply Chain Simulations        100
    • 2.6.3    Enhanced Customer Experiences    100
      • 2.6.3.1 Immersive Product Demonstrations              100
      • 2.6.3.2 Virtual Factory Tours 101
      • 2.6.3.3 Customized Product Configuration in VR    101
    • 2.6.4    Emerging Markets and Applications               102
      • 2.6.4.1 Industrial Metaverse in Developing Economies      102
      • 2.6.4.2 Integration with Emerging Technologies (e.g., Quantum Computing)      103
      • 2.6.4.3 Novel Use Cases in Non-Traditional Industries       103

 

3             TECHNOLOGY LANDSCAPE 105

  • 3.1        Core Technologies Enabling the Industrial Metaverse         105
    • 3.1.1    Extended Reality (XR): AR, VR, and MR         105
      • 3.1.1.1 Head-Mounted Displays (HMDs)      105
      • 3.1.1.2 Haptic Devices             106
      • 3.1.1.3 Companies     107
    • 3.1.2    Artificial Intelligence and Machine Learning             109
      • 3.1.2.1 Deep Learning in Industrial Applications     109
      • 3.1.2.2 Natural Language Processing             111
      • 3.1.2.3 Computer Vision         113
      • 3.1.2.4 Companies     116
    • 3.1.3    Internet of Things (IoT) and Industrial IoT (IIoT)         120
      • 3.1.3.1 Sensor Technologies 120
      • 3.1.3.2 Data Collection and Analysis              123
      • 3.1.3.3 Edge Computing in IIoT            125
      • 3.1.3.4 Companies     127
    • 3.1.4    5G and Beyond (6G) Networks            131
      • 3.1.4.1 Ultra-Low Latency Communication                131
      • 3.1.4.2 Massive Machine-Type Communications   134
      • 3.1.4.3 Enhanced Mobile Broadband             137
      • 3.1.4.4 Companies     140
    • 3.1.5    Edge Computing and Cloud Infrastructure 143
      • 3.1.5.1 Hybrid Cloud Solutions           143
      • 3.1.5.2 Edge AI               146
      • 3.1.5.3 Distributed Computing Models          148
      • 3.1.5.4 Companies     151
    • 3.1.6    Blockchain and Distributed Ledger Technologies  154
      • 3.1.6.1 Smart Contracts          154
      • 3.1.6.2 Supply Chain Traceability      156
      • 3.1.6.3 Decentralized Finance in Industry   160
      • 3.1.6.4 Companies     164
    • 3.1.7    3D Scanning/Modeling            167
      • 3.1.7.1 Overview           167
      • 3.1.7.2 Companies     169
  • 3.2        Emerging Technologies and Their Potential Impact              173
    • 3.2.1    Quantum Computing               173
      • 3.2.1.1 Quantum Simulation for Materials Science               173
      • 3.2.1.2 Quantum-inspired Optimization Algorithms             175
      • 3.2.1.3 Post-quantum Cryptography              176
      • 3.2.1.4 Companies     176
    • 3.2.2    Brain-Computer Interfaces   179
      • 3.2.2.1 Non-invasive BCI Technologies          179
      • 3.2.2.2 Neural Control of Industrial Systems             180
      • 3.2.2.3 Cognitive Load Monitoring    181
      • 3.2.2.4 Companies     182
    • 3.2.3    Advanced Materials and Nanotechnology  185
      • 3.2.3.1 Smart Materials for Sensors 186
      • 3.2.3.2 Nanotech in Manufacturing 187
      • 3.2.3.3 Self-healing Materials              188
    • 3.2.4    Autonomous Systems and Robotics              189
      • 3.2.4.1 Collaborative Robots (Cobots)          189
      • 3.2.4.2 Swarm Robotics          190
      • 3.2.4.3 Biomimetic Robots    191
      • 3.2.4.4 Companies     194
  • 3.3        Technology Adoption Trends and Forecasts              194
    • 3.3.1    Short-term Adoption (2025-2028)   195
      • 3.3.1.1 Technology Readiness Levels              195
      • 3.3.1.2 Early Adopter Industries         196
    • 3.3.2    Medium-term Adoption (2029-2032)             197
      • 3.3.2.1 Scaling Successful Implementations            197
      • 3.3.2.2 Cross-industry Technology Transfer               198
      • 3.3.2.3 Standardization and Interoperability Efforts              199
    • 3.3.3    Long-term Adoption (2033-2035)    199
      • 3.3.3.1 Mainstream Integration           200
      • 3.3.3.2 Disruptive Business Models 201
      • 3.3.3.3 Societal and Economic Impacts       202

 

4             END USE MARKETS    203

  • 4.1        By Component              205
    • 4.1.1    Hardware          205
      • 4.1.1.1 XR Devices       206
      • 4.1.1.2 Sensors and Actuators            209
      • 4.1.1.3 Industrial PCs and Servers    211
      • 4.1.1.4 Networking Equipment           214
  • 4.2        By Technology                218
    • 4.2.1    AR/VR/MR Solutions 218
      • 4.2.1.1 Hardware Platforms  218
    • 4.2.2    AI and Analytics Tools              221
      • 4.2.2.1 Predictive Maintenance          221
      • 4.2.2.2 Quality Control and Inspection          224
  • 4.3        By industry      226
    • 4.3.1    Automotive      226
      • 4.3.1.1 Current commercial examples          227
    • 4.3.2    Aerospace        229
      • 4.3.2.1 Current commercial examples          229
    • 4.3.3    Chemicals and materials manufacturing   231
      • 4.3.3.1 Current commercial examples          231
    • 4.3.4    Energy 232
      • 4.3.4.1 Current commercial examples          232
    • 4.3.5    Healthcare and life sciences               234
      • 4.3.5.1 Current commercial examples          234
    • 4.3.6    Construction and engineering            236
      • 4.3.6.1 Current commercial examples          236
    • 4.3.7    Supply Chain Management and Logistics   238
      • 4.3.7.1 Current commercial examples          238
    • 4.3.8    Retail   239
      • 4.3.8.1 Current commercial examples          239

 

5             REGULATIONS              241

  • 5.1        Data Privacy and Security Regulations         241
  • 5.2        Intellectual Property Considerations             242
  • 5.3        Standards and Interoperability Initiatives    243
  • 5.4        Environmental and Sustainability Regulations        244

 

6             SOCIETAL AND ECONOMIC IMPACT              245

  • 6.1        Workforce Transformation and Skill Requirements               245
  • 6.2        Economic Growth and Productivity Gains  246
  • 6.3        Sustainability and Environmental Impact   247
    • 6.3.1    Energy Consumption               247
    • 6.3.2    E-Waste             248
    • 6.3.3    Virtual Economies and Blockchain 249
    • 6.3.4    Reduction in pollution             249
  • 6.4        Ethical Considerations and Social Implications     251

 

7             CHALLENGES AND RISK FACTORS 252

  • 7.1        Technological Challenges     252
  • 7.2        Implementation and Integration Issues        253
  • 7.3        Cybersecurity Risks  254
  • 7.4        Economic and Market Risks 255

 

8             COMPANY PROFILES                257

  • 8.1        Virtual, Augmented and Mixed Reality (including haptics)               257 (71 company profiles)
  • 8.2        Artificial Intelligence 317 (135 company profiles)
  • 8.3        Blockchain      417 (36 company profiles)
  • 8.4        Edge computing           447 (35 company profiles)
  • 8.5        Digital Twin      474   (53 company profiles)
  • 8.6        Other technologies, platforms and services             521 (55 company profiles)

 

9             RESEARCH METHODOLOGY              558

 

10          GLOSSARY OF TERMS             559

 

11          REFERENCES 559

 

List of Tables

  • Table 1. Industrial metaverse definitions.   22
  • Table 2. Comparison of the consumer and industrial metaverses.            25
  • Table 3. A timeline of the development of the metaverse.                28
  • Table 4. Market players in industrial metaverse ecosystem.           31
  • Table 5. Differences between Industry 4.0 and the Industrial Metaverse.              49
  • Table 6. Maturity/development of Industrial Metaverse technology building blocks       53
  • Table 7. Comparison of Key Features: Major Industrial Metaverse Platforms.    54
  • Table 8.Global Industrial Metaverse Market Size and Growth Rate, 2025-2035. 55
  • Table 9. Cost Comparison: Traditional Industrial Processes vs. Metaverse-Enabled Processes.           56
  • Table 10. Market Share by Component (Hardware, Software, Services), 2025-2035.    57
  • Table 11. Market Share by Technology (AR/VR/MR, Digital Twins, AI, IoT), 2025-2035. 58
  • Table 12. Market Share by End-User Industry, 2025-2035.              59
  • Table 13. Energy Consumption Comparison: Traditional vs. Metaverse-Enabled Industrial Processes.                60
  • Table 14. Market players in the industrial metaverse.          61
  • Table 15. Regional Market Size and Growth Rates, 2025-2035.   62
  • Table 16. Investment in Industrial Metaverse by Type (VC, Corporate, Government).    67
  • Table 17. Venture capital funding for industrial metaverse.             68
  • Table 18. Corporate industrial metaverse investments.    69
  • Table 19. Government and Public Funding Initiatives.        70
  • Table 20. Digital transformation strategies.               77
  • Table 21. Market challenges and barriers.  84
  • Table 22. Companies in Extended Reality (XR): AR, VR, and MR. 107
  • Table 23. Deep Learning in Industrial Applications.             109
  • Table 24. Companies in Artificial Intelligence and Machine Learning.     116
  • Table 25. Companies in Internet of Things (IoT) and Industrial IoT (IIoT) technologies.   127
  • Table 26. Companies in 5G and Beyond (6G) Networks.   140
  • Table 27. Companies in Edge Computing and Cloud Infrastructure.         152
  • Table 28. Companies in Blockchain and Distributed Ledger Technologies.          164
  • Table 29. Companies in 33D scanning/Modeling. 169
  • Table 30. Companies in Quantum Computing.       176
  • Table 31. Companies in Brain-Computer Interfaces.          182
  • Table 32. Smart Materials for Sensors.         186
  • Table 33. Companies in Autonomous Systems and Robotics.      194
  • Table 34. TRL for industrial metaverse applications.           195
  • Table 35. Adoption Rates of Industrial Metaverse Technologies by Industry, 2025-2035.           204

 

List of Figures

  • Figure 1. Infographic: Components of the Industrial Metaverse.  23
  • Figure 2. Components of the industrial metaverse.              24
  • Figure 3. Evolution of Industry 4.0 to the Industrial Metaverse.     27
  • Figure 4. VR-based industrial training session.       47
  • Figure 5. Use of AR in manufacturing.           47
  • Figure 6.3D Model: Digital twin of a manufacturing plant.               48
  • Figure 7. Infographic: IoT sensors in an industrial setting. 51
  • Figure 8. Global Industrial Metaverse Market Size and Growth Rate, 2025-2035.            55
  • Figure 9. Market Share by Technology (AR/VR/MR, Digital Twins, AI, IoT), 2025-2035.  58
  • Figure 10. Market Share by End-User Industry, 2025-2035.            60
  • Figure 11. Regional Market Size and Growth Rates, 2025-2035.  63
  • Figure 12. Edge computing in industrial applications.        75
  • Figure 13. Smart factory ecosystem.              76
  • Figure 14. Head-Mounted Display used in on-site operations.     106
  • Figure 15. Wearable textile device with haptic technology.             106
  • Figure 16. The Differences between IoT and IIoT.    120
  • Figure 17. Blockchain-enabled supply chain visualization.            157
  • Figure 18. Brain-computer interface for industrial control.              179
  • Figure 19. Swarm of industrial robots in a warehouse.       191
  • Figure 20. Adoption Curves of Different Industrial Metaverse Technologies.       195
  • Figure 21. Market map for the industrial metaverse.            203
  • Figure 22. Advanced materials used in industrial metaverse hardware. 206
  • Figure 23. BMW iFACTORY.   226
  • Figure 24. Enhatch AR headset.         234
  • Figure 25. Augmedics’ xvision Spine System®.         234
  • Figure 26. Apple Vision Pro.  259
  • Figure 27. The ThinkReality A3.          281
  • Figure 28. Microsoft HoloLens 2.      291
  • Figure 29. Siemens digital native factory.    306
  • Figure 30. Cerebas WSE-2.   332
  • Figure 31. DeepX NPU DX-GEN1.     337
  • Figure 32. InferX X1.  345
  • Figure 33. “Warboy”(AI Inference Chip).      346
  • Figure 34. Google TPU.            348
  • Figure 35. GrAI VIP.     349
  • Figure 36. Colossus™ MK2 GC200 IPU.         350
  • Figure 37. GreenWave’s GAP8 and GAP9 processors.        351
  • Figure 38. Journey 5. 355
  • Figure 39. IBM Telum processor.       358
  • Figure 40. 11th Gen Intel® Core™ S-Series. 361
  • Figure 41. Envise.        367
  • Figure 42. Pentonic 2000.      372
  • Figure 43. Meta Training and Inference Accelerator (MTIA).            372
  • Figure 44. Azure Maia 100 and Cobalt 100 chips.  374
  • Figure 45. Mythic MP10304 Quad-AMP PCIe Card.              378
  • Figure 46. Nvidia H200 AI chip.           386
  • Figure 47. Grace Hopper Superchip.               387
  • Figure 48. Panmnesia memory expander module (top) and chassis loaded with switch and expander modules (below).        389
  • Figure 49. Cloud AI 100.         392
  • Figure 50. Peta Op chip.          394
  • Figure 51. Cardinal SN10 RDU.          397
  • Figure 52. MLSoC™.    401
  • Figure 53. Grayskull.  407
  • Figure 54. Tesla D1 chip.         408

 

 

The Global Industrial Metaverse Market 2025-2035
The Global Industrial Metaverse Market 2025-2035
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The Global Industrial Metaverse Market 2025-2035
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