Industrial Metaverse Market by Technology (Digital Twin, Augmented Reality, Virtual Reality, Artificial Intelligence, Edge Computing, Private 5G, Blockchain), End User (Automotive, Aerospace, Electronics, Healthcare) and Region - Global Forecast to 2029
The global industrial metaverse market is estimated to grow from USD 28.7 billion in 2024 to USD 228.6 billion in 2029; it is expected to grow at a CAGR of 51.5% during the forecast period.
“Rising adoption of digital twin to drive the industrial metaverse market.”
The market has a promising growth potential due to several factors, including the rising adoption of digital twins, advancement in core technologies such as AR, VR, AI, and IoT, rising demand for efficiency and optimization in industrial sector,and addressing skill gaps and workforce challenges through industrial metaverse. It presents significant opportunities through continuous developments in 5G/6G, and integration of blockchain technology within industrial metaverse.
“AR and VR technology segment is expected to witness significant CAGR during the forecast period.”
In industrial manufacturing, AR overlays important data onto the real world and helps in workers training in industries, maintenance of production systems, and helps in remote collaboration for remotely located workers. VR creates immersive simulations for safe and realistic product design, prototyping, and virtual tours of complex facilities. This helps in boosting efficiency and innovation within the industrial metaverse. AR technology is being used in workflow optimization, visualization, and 3D modelling. also, use of head mounted displays, gesture tracking devices, data gloves are helping demand of AR & VR devices across industries.
“Aerospace industry to witness significant CAGR for the end-user segment during the forecast period.”
Governments worldwide are launching new projects to transform aerospace infrastructure and security systems. They are using digital twins for collaborative and synchronized program management across the product lifecycle and value chain. In aerospace industry, VR plays an important role in training through advanced simulators. Flight simulators are important for preparing pilots to handle various in-flight scenarios. Furthermore, Private LTE and 5G networks are being deployed to support internal operations at major international and domestic airports such as Hong Kong, Shanghai Pudong.
“North America is likely to hold prominent market share in 2024.”
The industrial metaverse market in the North America is categorized further into US, Canada, and Mexico. The Americas dominates the industrial metaverse market due to its technological leadership, supportive government policies, diverse market opportunities, and active research and development. Also, presence of key technology providers such as PTC Inc. (US), Magic Leap, Inc. (US), Microsoft (US), and Alphabet Inc. (US) offer innovative AR solutions while companies such as Bentley Systems, Incorporated (US), IBM Corporation (US), Emerson Electric Co. (US), Microsoft (US). ANSYS, Inc. (US), Amazon Web Services, Inc. (US), offer digital twin solutions for industrial metaverse. These factors have propelled the region's strong market presence in industrial metaverse.
Breakdown of primaries
A variety of executives from key organizations operating in the industrial metaverse market were interviewed in-depth, including CEOs, marketing directors, and innovation and technology directors.
NVIDIA Corporation (US), Microsoft (US), Siemens (Germany), Amazon Web Services, Inc. (US), IBM (US), Meta (US), HTC Corporation (Taiwan), ABB (Switzerland), PTC (US), Dassault Syst?mes (France), GE Vernova (US), Intel Corporation (US), AVEVA Group Limited (UK), Alphabet, Inc. (US), and Nokia (Finland) are the key players in the industrial metaverse market. These leading companies possess a wide portfolio of products and solutions, establishing a prominent presence in established as well as emerging markets. The study provides a detailed competitive analysis of these key players in the industrial metaverse market, presenting their company profiles, most recent developments, and key market strategies.
Research Coverage
This report offers detailed insights into the industrial metaverse market based on technology (Digital Twin, Artificial Intelligence, AR & VR, Edge Computing, Private 5G, and Blockchain), End User (Automotive, Aerospace, Electronics, Food & Beverages, Oil & Gas, Energy & Power, Healthcare and Others (Chemicals, and Paper & Pulp)), and region (North America, Europe, Asia Pacific, and Rest of the World (includes the Middle East, South America and Africa.))
The report also comprehensively reviews the industrial metaverse market drivers, restraints, opportunities, and challenges. The report also covers qualitative aspects in addition to the quantitative aspects of these markets.
Reasons to buy the report:
The report will help the leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market and the sub-segments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the industrial metaverse market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
“Rising adoption of digital twin to drive the industrial metaverse market.”
The market has a promising growth potential due to several factors, including the rising adoption of digital twins, advancement in core technologies such as AR, VR, AI, and IoT, rising demand for efficiency and optimization in industrial sector,and addressing skill gaps and workforce challenges through industrial metaverse. It presents significant opportunities through continuous developments in 5G/6G, and integration of blockchain technology within industrial metaverse.
“AR and VR technology segment is expected to witness significant CAGR during the forecast period.”
In industrial manufacturing, AR overlays important data onto the real world and helps in workers training in industries, maintenance of production systems, and helps in remote collaboration for remotely located workers. VR creates immersive simulations for safe and realistic product design, prototyping, and virtual tours of complex facilities. This helps in boosting efficiency and innovation within the industrial metaverse. AR technology is being used in workflow optimization, visualization, and 3D modelling. also, use of head mounted displays, gesture tracking devices, data gloves are helping demand of AR & VR devices across industries.
“Aerospace industry to witness significant CAGR for the end-user segment during the forecast period.”
Governments worldwide are launching new projects to transform aerospace infrastructure and security systems. They are using digital twins for collaborative and synchronized program management across the product lifecycle and value chain. In aerospace industry, VR plays an important role in training through advanced simulators. Flight simulators are important for preparing pilots to handle various in-flight scenarios. Furthermore, Private LTE and 5G networks are being deployed to support internal operations at major international and domestic airports such as Hong Kong, Shanghai Pudong.
“North America is likely to hold prominent market share in 2024.”
The industrial metaverse market in the North America is categorized further into US, Canada, and Mexico. The Americas dominates the industrial metaverse market due to its technological leadership, supportive government policies, diverse market opportunities, and active research and development. Also, presence of key technology providers such as PTC Inc. (US), Magic Leap, Inc. (US), Microsoft (US), and Alphabet Inc. (US) offer innovative AR solutions while companies such as Bentley Systems, Incorporated (US), IBM Corporation (US), Emerson Electric Co. (US), Microsoft (US). ANSYS, Inc. (US), Amazon Web Services, Inc. (US), offer digital twin solutions for industrial metaverse. These factors have propelled the region's strong market presence in industrial metaverse.
Breakdown of primaries
A variety of executives from key organizations operating in the industrial metaverse market were interviewed in-depth, including CEOs, marketing directors, and innovation and technology directors.
- By Company Type: Tier 1 = 45%, Tier 2 = 35%, and Tier 3 = 20%
- By Designation: C-level Executives = 40%, Directors = 45%, and Others (sales, marketing, and product managers, as well as members of various organizations) = 15%
- By Region: North America =29%, Europe = 27%, Asia Pacific =36%, and Rest of the World = 8%
NVIDIA Corporation (US), Microsoft (US), Siemens (Germany), Amazon Web Services, Inc. (US), IBM (US), Meta (US), HTC Corporation (Taiwan), ABB (Switzerland), PTC (US), Dassault Syst?mes (France), GE Vernova (US), Intel Corporation (US), AVEVA Group Limited (UK), Alphabet, Inc. (US), and Nokia (Finland) are the key players in the industrial metaverse market. These leading companies possess a wide portfolio of products and solutions, establishing a prominent presence in established as well as emerging markets. The study provides a detailed competitive analysis of these key players in the industrial metaverse market, presenting their company profiles, most recent developments, and key market strategies.
Research Coverage
This report offers detailed insights into the industrial metaverse market based on technology (Digital Twin, Artificial Intelligence, AR & VR, Edge Computing, Private 5G, and Blockchain), End User (Automotive, Aerospace, Electronics, Food & Beverages, Oil & Gas, Energy & Power, Healthcare and Others (Chemicals, and Paper & Pulp)), and region (North America, Europe, Asia Pacific, and Rest of the World (includes the Middle East, South America and Africa.))
The report also comprehensively reviews the industrial metaverse market drivers, restraints, opportunities, and challenges. The report also covers qualitative aspects in addition to the quantitative aspects of these markets.
Reasons to buy the report:
The report will help the leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market and the sub-segments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the industrial metaverse market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers ( Rising adoption of digital twins, advancement in core technologies such as AR, VR, AI, and IoT, rising demand for efficiency and optimization in industrial sector,and addressing skill gaps and workforce challenges through industrial metaverse), restraints (high installation and maintenance costs of high-end metaverse components, and lack of standardization), opportunities (continuous developments in 5G/6G, and integration of blockchain technology within industrial metaverse) and challenges (Cybersecurity and privacy concerns, and Opposition from incumbents towards blockchain technology).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product launches in the industrial metaverse market
- Market Development: Comprehensive information about lucrative markets – the report analyses the industrial metaverse market across varied regions
- Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the industrial metaverse market
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players like NVIDIA Corporation (US), Microsoft (US), Siemens (Germany), Amazon Web Services, Inc. (US), IBM (US), Meta (US), HTC Corporation (Taiwan), ABB (Switzerland), PTC (US), Dassault Syst?mes (France), GE Vernova (US), Intel Corporation (US), AVEVA Group Limited (UK), Alphabet, Inc. (US), and Nokia (Finland). among others.
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNITS CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 IMPACT OF RECESSION
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of key secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 List of primary interview participants
2.1.2.2 Breakdown of primaries
2.1.2.3 Key data from primary sources
2.1.2.4 Key industry insights
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION METHODOLOGY
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to arrive at market size using bottom-up analysis
(demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to arrive at market size using top-down analysis
(supply side)
2.3 FACTOR ANALYSIS
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
2.7 RISK ASSESSMENT
2.8 RECESSION IMPACT
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN INDUSTRIAL METAVERSE MARKET
4.2 INDUSTRIAL METAVERSE MARKET, BY TECHNOLOGY
4.3 INDUSTRIAL METAVERSE MARKET, BY END-USE INDUSTRY
4.4 INDUSTRIAL METAVERSE MARKET IN NORTH AMERICA, BY TECHNOLOGY AND COUNTRY
4.5 INDUSTRIAL METAVERSE MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rising deployment of digital twin technology for process optimization
5.2.1.2 Rapid advances in augmented reality and other core technologies
5.2.1.3 Burgeoning demand for advanced technologies to streamline manufacturing processes
5.2.1.4 Rising demand for immersive training platforms by
manufacturing firms
5.2.2 RESTRAINTS
5.2.2.1 High deployment costs of cutting-edge technologies
5.2.2.2 Lack of standardization and interoperability issues
5.2.3 OPPORTUNITIES
5.2.3.1 Commercialization of 5G and 6G networks
5.2.3.2 Integration of blockchain into industrial metaverse
5.2.4 CHALLENGES
5.2.4.1 Cybersecurity and privacy concerns
5.2.4.2 Disruptions caused by blockchain integration into traditional business models
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
5.4 PRICING ANALYSIS
5.4.1 INDICATIVE PRICING TREND OF KEY PLAYERS, BY DEVICE TYPE
5.4.2 INDICATIVE PRICING TREND, BY DEVICE TYPE
5.4.3 INDICATIVE PRICING TREND, BY REGION
5.5 INVESTMENT AND FUNDING SCENARIO
5.6 SUPPLY CHAIN ANALYSIS
5.7 ECOSYSTEM ANALYSIS
5.8 TECHNOLOGY ANALYSIS
5.8.1 KEY TECHNOLOGIES
5.8.1.1 Digital twin
5.8.1.2 Augmented reality
5.8.1.3 Virtual reality
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 5G
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 Artificial intelligence
5.8.3.2 Cloud computing
5.8.3.3 Edge computing
5.9 PORTER’S FIVE FORCES ANALYSIS
5.9.1 THREAT OF NEW ENTRANTS
5.9.2 THREAT OF SUBSTITUTES
5.9.3 BARGAINING POWER OF SUPPLIERS
5.9.4 BARGAINING POWER OF BUYERS
5.9.5 INTENSITY OF COMPETITIVE RIVALRY
5.10 KEY STAKEHOLDERS AND BUYING CRITERIA
5.10.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.10.2 BUYING CRITERIA
5.11 CASE STUDY ANALYSIS
5.11.1 BMW LEVERAGES NVIDIA OMNIVERSE ENTERPRISE PLATFORM TO CREATE FACTORY DIGITAL TWINS
5.11.2 TECH MAHINDRA HELPS INDIAN PUBLIC SECTOR BANK ADDRESS CUSTOMER EXPERIENCE CHALLENGES WITH UNI-VERSE INTERACTIVE PLATFORM
5.11.3 SONY PICTURES ANIMATION ADOPTS NVIDIA OMNIVERSE PLATFORM TO OPTIMIZE PRE-PRODUCTION WORKFLOW
5.11.4 AWS SUPPORTS VIEWFIN METAVERSE IN DEPLOYING METAVERSE PLATFORM TO SUPPORT PUBLIC BLOCKCHAIN AND BAAS OFFERINGS
5.11.5 TECHNOLOGY COMPANY LEVERAGES HCL TECHNOLOGIES LIMITED’S
END-TO-END SOLUTION TO ENABLE TRANSITION TO METAVERSE
5.12 KEY CONFERENCES AND EVENTS, 2024–2025
5.13 REGULATORY LANDSCAPE
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.13.2 CODES AND STANDARDS
5.13.3 REGULATIONS
5.14 TRADE ANALYSIS
5.14.1 IMPORT SCENARIO (HS CODE 9004)
5.14.2 EXPORT SCENARIO (HS CODE 9004)
5.15 PATENT ANALYSIS
5.16 IMPACT OF GENERATIVE AI ON INDUSTRIAL METAVERSE
5.17 EVOLUTION OF INDUSTRIAL METAVERSE
6 APPLICATIONS OF INDUSTRIAL METAVERSE SOLUTIONS
6.1 INTRODUCTION
6.2 PRODUCT DESIGN & DEVELOPMENT
6.3 PREDICTIVE MAINTENANCE
6.4 REMOTE COLLABORATION
6.5 TRAINING & SIMULATION
6.6 OTHER APPLICATIONS
7 ENTERPRISES ADOPTING INDUSTRIAL METAVERSE SOLUTIONS
7.1 INTRODUCTION
7.2 LARGE ENTERPRISES
7.3 SMALL & MEDIUM-SIZED ENTERPRISES
8 INDUSTRIAL METAVERSE MARKET, BY TECHNOLOGY
8.1 INTRODUCTION
8.2 DIGITAL TWIN
8.2.1 RISING EMPHASIS ON PREDICTIVE MAINTENANCE AND INDUSTRIAL INVENTORY OPTIMIZATION TO BOOST SEGMENTAL GROWTH
8.3 ARTIFICIAL INTELLIGENCE
8.3.1 BY OFFERING
8.3.1.1 Hardware
8.3.1.1.1 Mounting demand for high-performance processing units to support AI algorithms to accelerate segmental growth
8.3.1.1.2 Processors
8.3.1.1.2.1 Microprocessor units (MPUs)
8.3.1.1.2.2 Graphics processing units (GPUs)
8.3.1.1.2.3 Field programmable gate arrays (FPGA)
8.3.1.1.2.4 Application-specific integrated circuits (ASICs)
8.3.1.1.3 Memory devices
8.3.1.1.4 Network devices
8.3.1.2 Software
8.3.1.2.1 Rising deployment of innovative technologies for predictive maintenance and quality control to facilitate segmental growth
8.3.1.2.2 AI solutions
8.3.1.2.2.1 On-premises
8.3.1.2.2.2 Cloud-based
8.3.1.2.3 AI platforms
8.3.1.2.3.1 Application programming interface
8.3.1.2.3.2 Machine learning framework
8.3.1.3 Services
8.3.1.3.1 Increasing focus on smooth integration and optimal performance of AI solutions to augment segmental growth
8.3.1.3.2 Deployment & integration
8.3.1.3.3 Support & maintenance
8.4 PRIVATE 5G
8.4.1 BY OFFERING
8.4.1.1 Hardware
8.4.1.1.1 Increasing requirement for high-speed and real-time communication to boost segmental growth
8.4.1.1.2 Base station
8.4.1.1.3 Antenna
8.4.1.1.4 Radio access network (RAN)
8.4.1.1.5 Core network
8.4.1.1.6 Backhaul & transport
8.4.1.2 Software
8.4.1.2.1 Growing preference for private networks to contribute to segmental growth
8.4.1.2.2 Software-defined network (SDN)
8.4.1.2.3 Network management software
8.4.1.2.4 Network security software
8.4.1.3 Services
8.4.1.3.1 Rising need to reduce 5G network downtime to augment segmental growth
8.4.1.3.2 Installation & integration
8.4.1.3.3 Support & maintenance
8.5 AUGMENTED REALITY
8.5.1 BY OFFERING
8.5.1.1 Hardware
8.5.1.1.1 Head-mounted displays
8.5.1.1.1.1 Increasing use in healthcare sector to improve surgical accuracy and outcomes to foster segmental growth
8.5.1.1.1.2 Smart glasses
8.5.1.1.1.3 Smart helmets
8.5.1.1.2 Head-up displays
8.5.1.1.2.1 Rising adoption to enhance situational awareness and minimize distractions to fuel segmental growth
8.5.1.2 Software
8.5.1.2.1 Rising need for remote collaboration and workflow optimization to accelerate segmental growth
8.5.1.2.2 By type
8.5.1.2.2.1 Software development kits (SDKs)
8.5.1.2.2.2 Cloud-based services
8.5.1.2.3 By function
8.5.1.2.3.1 Remote collaboration
8.5.1.2.3.2 Workflow optimization
8.5.1.2.3.3 Documentation
8.5.1.2.3.4 Visualization
8.5.1.2.3.5 3D modeling
8.5.1.2.3.6 Navigation
8.6 VIRTUAL REALITY
8.6.1 BY DEVICE TYPE
8.6.1.1 Head-mounted displays
8.6.1.1.1 Enhanced spatial awareness and user interaction to contribute to segmental growth
8.6.1.2 Gesture-tracking devices
8.6.1.2.1 Adoption in healthcare to enhance surgical training outcomes and patient safety to augment segmental growth
8.6.1.2.2 Data gloves
8.6.1.2.3 Other gesture-tracking devices
8.6.1.3 Projectors & display walls
8.6.1.3.1 Increased demand for collaborative and immersive gaming, education, and training experiences to fuel segmental growth
8.7 EDGE COMPUTING
8.7.1 RISING NEED FOR EFFICIENT AND DECENTRALIZED DATA PROCESSING AND STORAGE TO FOSTER SEGMENTAL GROWTH
8.7.2 BY ENTERPRISE
8.7.2.1 Large enterprises
8.7.2.2 Small & medium-sized enterprises
8.7.3 BY OFFERING
8.7.3.1 Hardware
8.7.3.1.1 Edge sensors
8.7.3.1.1.1 Use in local data processing to reduce latency to contribute to segmental growth
8.7.3.1.1.2 Temperature sensors
8.7.3.1.1.3 Humidity sensors
8.7.3.1.1.4 Pressure sensors
8.7.3.1.1.5 Motion sensors
8.7.3.1.2 Edge devices
8.7.3.1.2.1 Adoption to enhance operational efficiency and security to bolster segmental growth
8.7.3.1.2.2 Industrial PCs (IPCs)
8.7.3.1.2.3 Single-board computers (SBCs)
8.7.3.1.2.4 Microcontrollers
8.7.3.2 Software
8.7.3.2.1 Data management
8.7.3.2.1.1 Data processing
8.7.3.2.1.2 Data analytics
8.7.3.2.1.3 Data storage
8.7.3.2.1.4 Data security
8.7.3.2.2 Device management
8.7.3.2.2.1 Device provisioning
8.7.3.2.2.2 Firmware & software updates
8.7.3.2.2.3 Device monitoring
8.7.3.2.2.4 Device security
8.7.3.2.3 Application management
8.7.3.2.3.1 Application deployment
8.7.3.2.3.2 Workflow automation
8.7.3.2.3.3 Service orchestration
8.7.3.2.3.4 Application security
8.7.3.2.4 Network management
8.7.3.2.4.1 Connectivity management
8.7.3.2.4.2 Performance monitoring
8.7.3.2.4.3 Network optimization
8.7.3.2.4.4 Network security
8.7.3.3 Services
8.7.3.3.1 Professional services
8.7.3.3.1.1 Consulting
8.7.3.3.1.2 Implementation
8.7.3.3.1.3 Support & maintenance
8.7.3.3.2 Managed services
8.8 BLOCKCHAIN
8.8.1 INCREASING NEED FOR SECURE AND STREAMLINED DATA EXCHANGE TO DRIVE MARKET
9 INDUSTRIAL METAVERSE MARKET, BY END-USE INDUSTRY
9.1 INTRODUCTION
9.2 AUTOMOTIVE & TRANSPORTATION
9.2.1 INCREASING RELIANCE ON DIGITAL TWIN TECHNOLOGY TO REDUCE VEHICLE DEVELOPMENT COSTS TO BOOST SEGMENTAL GROWTH
9.3 AEROSPACE
9.3.1 MOUNTING ADOPTION OF ADVANCED TECHNOLOGIES TO MINIMIZE LATE-STAGE AIRCRAFT DESIGN COSTS TO FUEL SEGMENTAL GROWTH
9.4 ELECTRONICS
9.4.1 INCREASING COMMERCIALIZATION OF 5G NETWORKS TO CONTRIBUTE TO SEGMENTAL GROWTH
9.5 FOOD & BEVERAGES
9.5.1 GROWING DEMAND FOR AI-BASED SOLUTIONS TO STREAMLINE QUALITY CONTROL AND COST MANAGEMENT TO ACCELERATE SEGMENTAL GROWTH
9.6 OIL & GAS
9.6.1 RISING DEPLOYMENT OF IOT ANALYTIC PLATFORMS FOR PRODUCTION OPTIMIZATION TO AUGMENT SEGMENTAL GROWTH
9.7 HEALTHCARE
9.7.1 INCREASING RELIANCE ON AI TOOLS TO REVOLUTIONIZE DRUG DISCOVERY AND PATIENT CARE TO FACILITATE SEGMENTAL GROWTH
9.8 ENERGY & POWER
9.8.1 RISING ADOPTION OF DATA ANALYTICS AND DIGITAL TWIN TECHNOLOGIES TO GAIN INSIGHTS INTO CARBON EMISSIONS TO DRIVE MARKET
9.9 OTHER END-USE INDUSTRIES
10 INDUSTRIAL METAVERSE MARKET, BY REGION
10.1 INTRODUCTION
10.1.1 RECESSION IMPACT ON INDUSTRIAL METAVERSE MARKET
10.2 NORTH AMERICA
10.2.1 RECESSION IMPACT ON INDUSTRIAL METAVERSE MARKET IN NORTH AMERICA
10.2.2 US
10.2.2.1 Mounting adoption of industrial robots in manufacturing sector to foster market growth
10.2.3 CANADA
10.2.3.1 Rising deployment of AI-based manufacturing technologies to drive market
10.2.4 MEXICO
10.2.4.1 Increasing implementation of electrical digital twin services to augment market growth
10.3 EUROPE
10.3.1 RECESSION IMPACT ON INDUSTRIAL METAVERSE MARKET IN EUROPE
10.3.2 GERMANY
10.3.2.1 Rising adoption of private networks to support industrial automation to boost market growth
10.3.3 UK
10.3.3.1 Increasing reliance on digital technologies to fuel market growth
10.3.4 FRANCE
10.3.4.1 Growing demand for electric and hybrid vehicles to drive market
10.3.5 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 RECESSION IMPACT ON INDUSTRIAL METAVERSE MARKET IN ASIA PACIFIC
10.4.2 CHINA
10.4.2.1 Increasing deployment of AR and VR technologies in branding and advertising campaigns to augment market growth
10.4.3 JAPAN
10.4.3.1 Growing demand for mobile broadband services to contribute to market growth
10.4.4 SOUTH KOREA
10.4.4.1 Rising IoT research and development to facilitate market growth
10.4.5 REST OF ASIA PACIFIC
10.5 ROW
10.5.1 RECESSION IMPACT ON INDUSTRIAL METAVERSE MARKET IN ROW
10.5.2 MIDDLE EAST
10.5.2.1 Burgeoning adoption of digital twin technology to design innovative industrial solutions to foster market growth
10.5.2.2 GCC countries
10.5.2.3 Rest of Middle East
10.5.3 AFRICA
10.5.3.1 Rising aircraft deliveries and mobile subscriptions to accelerate market growth
10.5.4 SOUTH AMERICA
10.5.4.1 Increasing investment in mining and exploration projects to drive market
11 COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
11.3 REVENUE ANALYSIS, 2018–2022
11.4 MARKET SHARE ANALYSIS, 2023
11.5 COMPANY VALUATION AND FINANCIAL METRICS
11.6 BRAND/PRODUCT COMPARISON
11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
11.7.1 STARS
11.7.2 EMERGING LEADERS
11.7.3 PERVASIVE PLAYERS
11.7.4 PARTICIPANTS
11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
11.7.5.1 Company footprint
11.7.5.2 Technology footprint
11.7.5.3 End-use industry footprint
11.7.5.4 Region footprint
11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
11.8.1 PROGRESSIVE COMPANIES
11.8.2 RESPONSIVE COMPANIES
11.8.3 DYNAMIC COMPANIES
11.8.4 STARTING BLOCKS
11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
11.8.5.1 Detailed list of key startups/SMEs
11.8.5.2 Competitive benchmarking of key startups/SMEs
11.9 COMPETITIVE SCENARIO AND TRENDS
11.9.1 PRODUCT LAUNCHES
11.9.2 DEALS
12 COMPANY PROFILES
12.1 KEY PLAYERS
12.1.1 NVIDIA CORPORATION
12.1.1.1 Business overview
12.1.1.2 Products/Solutions/Services offered
12.1.1.3 Recent developments
12.1.1.3.1 Product launches
12.1.1.3.2 Deals
12.1.1.4 MnM view
12.1.1.4.1 Key strengths/Right to win
12.1.1.4.2 Strategic choices
12.1.1.4.3 Weaknesses/Competitive threats
12.1.2 SIEMENS
12.1.2.1 Business overview
12.1.2.2 Products/Solutions/Services offered
12.1.2.3 Recent developments
12.1.2.3.1 Product launches
12.1.2.3.2 Deals
12.1.2.4 MnM view
12.1.2.4.1 Key strengths/Right to win
12.1.2.4.2 Strategic choices
12.1.2.4.3 Weaknesses/Competitive threats
12.1.3 MICROSOFT
12.1.3.1 Business overview
12.1.3.2 Products/Solutions/Services offered
12.1.3.3 Recent developments
12.1.3.3.1 Product launches
12.1.3.3.2 Deals
12.1.3.4 MnM view
12.1.3.4.1 Key strengths/Right to win
12.1.3.4.2 Strategic choices
12.1.3.4.3 Weaknesses/Competitive threats
12.1.4 ALPHABET INC.
12.1.4.1 Business overview
12.1.4.2 Products/Solutions/Services offered
12.1.4.3 Recent developments
12.1.4.3.1 Product launches
12.1.4.3.2 Deals
12.1.4.4 MnM view
12.1.4.4.1 Key strengths/Right to win
12.1.4.4.2 Strategic choices
12.1.4.4.3 Weaknesses/Competitive threats
12.1.5 IBM
12.1.5.1 Business overview
12.1.5.2 Products/Solutions/Services offered
12.1.5.3 Recent developments
12.1.5.3.1 Product launches
12.1.5.3.2 Deals
12.1.5.4 MnM view
12.1.5.4.1 Key strengths/Right to win
12.1.5.4.2 Strategic choices
12.1.5.4.3 Weaknesses/Competitive threats
12.1.6 META
12.1.6.1 Business overview
12.1.6.2 Products/Solutions/Services offered
12.1.6.3 Recent developments
12.1.6.3.1 Product launches
12.1.6.3.2 Deals
12.1.7 GE VERNOVA
12.1.7.1 Business overview
12.1.7.2 Products/Solutions/Services offered
12.1.7.3 Recent developments
12.1.7.3.1 Product launches
12.1.7.3.2 Deals
12.1.8 ABB
12.1.8.1 Business overview
12.1.8.2 Products/Solutions/Services offered
12.1.8.3 Recent developments
12.1.8.3.1 Deals
12.1.9 AMAZON WEB SERVICES, INC.
12.1.9.1 Business overview
12.1.9.2 Products/Solutions/Services offered
12.1.9.3 Recent developments
12.1.9.3.1 Product launches
12.1.9.3.2 Deals
12.1.10 HTC CORPORATION
12.1.10.1 Business overview
12.1.10.2 Products/Solutions/Services offered
12.1.10.3 Recent developments
12.1.10.3.1 Product launches
12.1.10.3.2 Deals
12.1.11 PTC
12.1.11.1 Business overview
12.1.11.2 Products/Solutions/Services offered
12.1.11.3 Recent developments
12.1.11.3.1 Product launches
12.1.11.3.2 Deals
12.1.12 DASSAULT SYST?MES
12.1.12.1 Business overview
12.1.12.2 Products/Solutions/Services offered
12.1.12.3 Recent developments
12.1.12.3.1 Product launches
12.1.12.3.2 Deals
12.1.13 INTEL CORPORATION
12.1.13.1 Business overview
12.1.13.2 Products/Solutions/Services offered
12.1.13.3 Recent developments
12.1.13.3.1 Product launches
12.1.13.3.2 Deals
12.1.14 NOKIA
12.1.14.1 Business overview
12.1.14.2 Products/Solutions/Services offered
12.1.14.3 Recent developments
12.1.14.3.1 Deals
12.1.15 SCHNEIDER ELECTRIC
12.1.15.1 Business overview
12.1.15.2 Products/Solutions/Services offered
12.1.15.3 Recent developments
12.1.15.3.1 Product launches
12.1.15.3.2 Deals
12.2 OTHER PROMINENT PLAYERS
12.2.1 SAMSUNG
12.2.2 SONY GROUP CORPORATION
12.2.3 DELL INC.
12.2.4 ANSYS, INC
12.2.5 ZTE CORPORATION
12.2.6 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
12.2.7 TELEFONAKTIEBOLAGET LM ERICSSON
12.2.8 CISCO SYSTEMS, INC.
12.2.9 APPLE INC.
12.2.10 ORACLE
12.2.11 SAP
12.2.12 BENTLEY SYSTEMS, INCORPORATED
12.2.13 MAGIC LEAP, INC.
12.3 OTHER PLAYERS
12.3.1 ARUVR
12.3.2 COSMO TECH
12.3.3 AQUANT
12.3.4 BRIGHT MACHINES, INC.
12.3.5 ZEDEDA
12.3.6 LITMUS AUTOMATION INC.
12.3.7 SCOPE AR
13 ADJACENT MARKET
13.1 INTRODUCTION
13.2 SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY
13.3 INDUSTRIAL 3D PRINTING
13.3.1 EMPHASIS ON SIMPLIFYING MANUFACTURING OF INDUSTRIAL TOOLS WITH COMPLEX DESIGNS TO BOOST SEGMENTAL GROWTH
13.4 INDUSTRIAL ROBOTS
13.4.1 DEPLOYMENT OF AI AND ML TECHNOLOGIES TO IMPROVE INDUSTRIAL OPERATIONS TO CONTRIBUTE TO SEGMENTAL GROWTH
13.5 INDUSTRIAL SENSORS
13.5.1 REQUIREMENT FOR HIGH-SPEED AND RELIABLE DATA TRANSMISSION TO FUEL SEGMENTAL GROWTH
13.6 AI IN MANUFACTURING
13.6.1 RELIANCE ON ADVANCED TECHNOLOGY TO REVOLUTIONIZE MANUFACTURING OPERATIONS TO FOSTER SEGMENTAL GROWTH
13.7 MACHINE CONDITION MONITORING
13.7.1 RELIANCE ON PREDICTIVE MONITORING SYSTEMS TO DETECT THREATS AND TAKE REMEDIAL ACTIONS TO FUEL SEGMENTAL GROWTH
13.8 INDUSTRIAL MACHINE VISION
13.8.1 ADOPTION OF 3D TECHNOLOGY IN MANUFACTURING PROCESSES TO ACCELERATE SEGMENTAL GROWTH
13.9 INDUSTRIAL CYBERSECURITY
13.9.1 RELIANCE ON SECURE CONTROL SYSTEMS TO FUEL SEGMENTAL GROWTH
13.10 DIGITAL TWIN
13.10.1 NEED FOR DESIGN OPTIMIZATION IN MANUFACTURING SECTOR TO CONTRIBUTE TO SEGMENTAL GROWTH
13.11 AUTOMATED GUIDED VEHICLES
13.11.1 DEPLOYMENT OF 5G TO PROVIDE HIGH-SPEED VEHICLE CONNECTIVITY AND NAVIGATION TO FOSTER SEGMENTAL GROWTH
14 APPENDIX
14.1 INSIGHTS FROM INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.4 CUSTOMIZATION OPTIONS
14.5 RELATED REPORTS
14.6 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNITS CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 IMPACT OF RECESSION
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of key secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 List of primary interview participants
2.1.2.2 Breakdown of primaries
2.1.2.3 Key data from primary sources
2.1.2.4 Key industry insights
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION METHODOLOGY
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to arrive at market size using bottom-up analysis
(demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to arrive at market size using top-down analysis
(supply side)
2.3 FACTOR ANALYSIS
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
2.7 RISK ASSESSMENT
2.8 RECESSION IMPACT
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN INDUSTRIAL METAVERSE MARKET
4.2 INDUSTRIAL METAVERSE MARKET, BY TECHNOLOGY
4.3 INDUSTRIAL METAVERSE MARKET, BY END-USE INDUSTRY
4.4 INDUSTRIAL METAVERSE MARKET IN NORTH AMERICA, BY TECHNOLOGY AND COUNTRY
4.5 INDUSTRIAL METAVERSE MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rising deployment of digital twin technology for process optimization
5.2.1.2 Rapid advances in augmented reality and other core technologies
5.2.1.3 Burgeoning demand for advanced technologies to streamline manufacturing processes
5.2.1.4 Rising demand for immersive training platforms by
manufacturing firms
5.2.2 RESTRAINTS
5.2.2.1 High deployment costs of cutting-edge technologies
5.2.2.2 Lack of standardization and interoperability issues
5.2.3 OPPORTUNITIES
5.2.3.1 Commercialization of 5G and 6G networks
5.2.3.2 Integration of blockchain into industrial metaverse
5.2.4 CHALLENGES
5.2.4.1 Cybersecurity and privacy concerns
5.2.4.2 Disruptions caused by blockchain integration into traditional business models
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
5.4 PRICING ANALYSIS
5.4.1 INDICATIVE PRICING TREND OF KEY PLAYERS, BY DEVICE TYPE
5.4.2 INDICATIVE PRICING TREND, BY DEVICE TYPE
5.4.3 INDICATIVE PRICING TREND, BY REGION
5.5 INVESTMENT AND FUNDING SCENARIO
5.6 SUPPLY CHAIN ANALYSIS
5.7 ECOSYSTEM ANALYSIS
5.8 TECHNOLOGY ANALYSIS
5.8.1 KEY TECHNOLOGIES
5.8.1.1 Digital twin
5.8.1.2 Augmented reality
5.8.1.3 Virtual reality
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 5G
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 Artificial intelligence
5.8.3.2 Cloud computing
5.8.3.3 Edge computing
5.9 PORTER’S FIVE FORCES ANALYSIS
5.9.1 THREAT OF NEW ENTRANTS
5.9.2 THREAT OF SUBSTITUTES
5.9.3 BARGAINING POWER OF SUPPLIERS
5.9.4 BARGAINING POWER OF BUYERS
5.9.5 INTENSITY OF COMPETITIVE RIVALRY
5.10 KEY STAKEHOLDERS AND BUYING CRITERIA
5.10.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.10.2 BUYING CRITERIA
5.11 CASE STUDY ANALYSIS
5.11.1 BMW LEVERAGES NVIDIA OMNIVERSE ENTERPRISE PLATFORM TO CREATE FACTORY DIGITAL TWINS
5.11.2 TECH MAHINDRA HELPS INDIAN PUBLIC SECTOR BANK ADDRESS CUSTOMER EXPERIENCE CHALLENGES WITH UNI-VERSE INTERACTIVE PLATFORM
5.11.3 SONY PICTURES ANIMATION ADOPTS NVIDIA OMNIVERSE PLATFORM TO OPTIMIZE PRE-PRODUCTION WORKFLOW
5.11.4 AWS SUPPORTS VIEWFIN METAVERSE IN DEPLOYING METAVERSE PLATFORM TO SUPPORT PUBLIC BLOCKCHAIN AND BAAS OFFERINGS
5.11.5 TECHNOLOGY COMPANY LEVERAGES HCL TECHNOLOGIES LIMITED’S
END-TO-END SOLUTION TO ENABLE TRANSITION TO METAVERSE
5.12 KEY CONFERENCES AND EVENTS, 2024–2025
5.13 REGULATORY LANDSCAPE
5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.13.2 CODES AND STANDARDS
5.13.3 REGULATIONS
5.14 TRADE ANALYSIS
5.14.1 IMPORT SCENARIO (HS CODE 9004)
5.14.2 EXPORT SCENARIO (HS CODE 9004)
5.15 PATENT ANALYSIS
5.16 IMPACT OF GENERATIVE AI ON INDUSTRIAL METAVERSE
5.17 EVOLUTION OF INDUSTRIAL METAVERSE
6 APPLICATIONS OF INDUSTRIAL METAVERSE SOLUTIONS
6.1 INTRODUCTION
6.2 PRODUCT DESIGN & DEVELOPMENT
6.3 PREDICTIVE MAINTENANCE
6.4 REMOTE COLLABORATION
6.5 TRAINING & SIMULATION
6.6 OTHER APPLICATIONS
7 ENTERPRISES ADOPTING INDUSTRIAL METAVERSE SOLUTIONS
7.1 INTRODUCTION
7.2 LARGE ENTERPRISES
7.3 SMALL & MEDIUM-SIZED ENTERPRISES
8 INDUSTRIAL METAVERSE MARKET, BY TECHNOLOGY
8.1 INTRODUCTION
8.2 DIGITAL TWIN
8.2.1 RISING EMPHASIS ON PREDICTIVE MAINTENANCE AND INDUSTRIAL INVENTORY OPTIMIZATION TO BOOST SEGMENTAL GROWTH
8.3 ARTIFICIAL INTELLIGENCE
8.3.1 BY OFFERING
8.3.1.1 Hardware
8.3.1.1.1 Mounting demand for high-performance processing units to support AI algorithms to accelerate segmental growth
8.3.1.1.2 Processors
8.3.1.1.2.1 Microprocessor units (MPUs)
8.3.1.1.2.2 Graphics processing units (GPUs)
8.3.1.1.2.3 Field programmable gate arrays (FPGA)
8.3.1.1.2.4 Application-specific integrated circuits (ASICs)
8.3.1.1.3 Memory devices
8.3.1.1.4 Network devices
8.3.1.2 Software
8.3.1.2.1 Rising deployment of innovative technologies for predictive maintenance and quality control to facilitate segmental growth
8.3.1.2.2 AI solutions
8.3.1.2.2.1 On-premises
8.3.1.2.2.2 Cloud-based
8.3.1.2.3 AI platforms
8.3.1.2.3.1 Application programming interface
8.3.1.2.3.2 Machine learning framework
8.3.1.3 Services
8.3.1.3.1 Increasing focus on smooth integration and optimal performance of AI solutions to augment segmental growth
8.3.1.3.2 Deployment & integration
8.3.1.3.3 Support & maintenance
8.4 PRIVATE 5G
8.4.1 BY OFFERING
8.4.1.1 Hardware
8.4.1.1.1 Increasing requirement for high-speed and real-time communication to boost segmental growth
8.4.1.1.2 Base station
8.4.1.1.3 Antenna
8.4.1.1.4 Radio access network (RAN)
8.4.1.1.5 Core network
8.4.1.1.6 Backhaul & transport
8.4.1.2 Software
8.4.1.2.1 Growing preference for private networks to contribute to segmental growth
8.4.1.2.2 Software-defined network (SDN)
8.4.1.2.3 Network management software
8.4.1.2.4 Network security software
8.4.1.3 Services
8.4.1.3.1 Rising need to reduce 5G network downtime to augment segmental growth
8.4.1.3.2 Installation & integration
8.4.1.3.3 Support & maintenance
8.5 AUGMENTED REALITY
8.5.1 BY OFFERING
8.5.1.1 Hardware
8.5.1.1.1 Head-mounted displays
8.5.1.1.1.1 Increasing use in healthcare sector to improve surgical accuracy and outcomes to foster segmental growth
8.5.1.1.1.2 Smart glasses
8.5.1.1.1.3 Smart helmets
8.5.1.1.2 Head-up displays
8.5.1.1.2.1 Rising adoption to enhance situational awareness and minimize distractions to fuel segmental growth
8.5.1.2 Software
8.5.1.2.1 Rising need for remote collaboration and workflow optimization to accelerate segmental growth
8.5.1.2.2 By type
8.5.1.2.2.1 Software development kits (SDKs)
8.5.1.2.2.2 Cloud-based services
8.5.1.2.3 By function
8.5.1.2.3.1 Remote collaboration
8.5.1.2.3.2 Workflow optimization
8.5.1.2.3.3 Documentation
8.5.1.2.3.4 Visualization
8.5.1.2.3.5 3D modeling
8.5.1.2.3.6 Navigation
8.6 VIRTUAL REALITY
8.6.1 BY DEVICE TYPE
8.6.1.1 Head-mounted displays
8.6.1.1.1 Enhanced spatial awareness and user interaction to contribute to segmental growth
8.6.1.2 Gesture-tracking devices
8.6.1.2.1 Adoption in healthcare to enhance surgical training outcomes and patient safety to augment segmental growth
8.6.1.2.2 Data gloves
8.6.1.2.3 Other gesture-tracking devices
8.6.1.3 Projectors & display walls
8.6.1.3.1 Increased demand for collaborative and immersive gaming, education, and training experiences to fuel segmental growth
8.7 EDGE COMPUTING
8.7.1 RISING NEED FOR EFFICIENT AND DECENTRALIZED DATA PROCESSING AND STORAGE TO FOSTER SEGMENTAL GROWTH
8.7.2 BY ENTERPRISE
8.7.2.1 Large enterprises
8.7.2.2 Small & medium-sized enterprises
8.7.3 BY OFFERING
8.7.3.1 Hardware
8.7.3.1.1 Edge sensors
8.7.3.1.1.1 Use in local data processing to reduce latency to contribute to segmental growth
8.7.3.1.1.2 Temperature sensors
8.7.3.1.1.3 Humidity sensors
8.7.3.1.1.4 Pressure sensors
8.7.3.1.1.5 Motion sensors
8.7.3.1.2 Edge devices
8.7.3.1.2.1 Adoption to enhance operational efficiency and security to bolster segmental growth
8.7.3.1.2.2 Industrial PCs (IPCs)
8.7.3.1.2.3 Single-board computers (SBCs)
8.7.3.1.2.4 Microcontrollers
8.7.3.2 Software
8.7.3.2.1 Data management
8.7.3.2.1.1 Data processing
8.7.3.2.1.2 Data analytics
8.7.3.2.1.3 Data storage
8.7.3.2.1.4 Data security
8.7.3.2.2 Device management
8.7.3.2.2.1 Device provisioning
8.7.3.2.2.2 Firmware & software updates
8.7.3.2.2.3 Device monitoring
8.7.3.2.2.4 Device security
8.7.3.2.3 Application management
8.7.3.2.3.1 Application deployment
8.7.3.2.3.2 Workflow automation
8.7.3.2.3.3 Service orchestration
8.7.3.2.3.4 Application security
8.7.3.2.4 Network management
8.7.3.2.4.1 Connectivity management
8.7.3.2.4.2 Performance monitoring
8.7.3.2.4.3 Network optimization
8.7.3.2.4.4 Network security
8.7.3.3 Services
8.7.3.3.1 Professional services
8.7.3.3.1.1 Consulting
8.7.3.3.1.2 Implementation
8.7.3.3.1.3 Support & maintenance
8.7.3.3.2 Managed services
8.8 BLOCKCHAIN
8.8.1 INCREASING NEED FOR SECURE AND STREAMLINED DATA EXCHANGE TO DRIVE MARKET
9 INDUSTRIAL METAVERSE MARKET, BY END-USE INDUSTRY
9.1 INTRODUCTION
9.2 AUTOMOTIVE & TRANSPORTATION
9.2.1 INCREASING RELIANCE ON DIGITAL TWIN TECHNOLOGY TO REDUCE VEHICLE DEVELOPMENT COSTS TO BOOST SEGMENTAL GROWTH
9.3 AEROSPACE
9.3.1 MOUNTING ADOPTION OF ADVANCED TECHNOLOGIES TO MINIMIZE LATE-STAGE AIRCRAFT DESIGN COSTS TO FUEL SEGMENTAL GROWTH
9.4 ELECTRONICS
9.4.1 INCREASING COMMERCIALIZATION OF 5G NETWORKS TO CONTRIBUTE TO SEGMENTAL GROWTH
9.5 FOOD & BEVERAGES
9.5.1 GROWING DEMAND FOR AI-BASED SOLUTIONS TO STREAMLINE QUALITY CONTROL AND COST MANAGEMENT TO ACCELERATE SEGMENTAL GROWTH
9.6 OIL & GAS
9.6.1 RISING DEPLOYMENT OF IOT ANALYTIC PLATFORMS FOR PRODUCTION OPTIMIZATION TO AUGMENT SEGMENTAL GROWTH
9.7 HEALTHCARE
9.7.1 INCREASING RELIANCE ON AI TOOLS TO REVOLUTIONIZE DRUG DISCOVERY AND PATIENT CARE TO FACILITATE SEGMENTAL GROWTH
9.8 ENERGY & POWER
9.8.1 RISING ADOPTION OF DATA ANALYTICS AND DIGITAL TWIN TECHNOLOGIES TO GAIN INSIGHTS INTO CARBON EMISSIONS TO DRIVE MARKET
9.9 OTHER END-USE INDUSTRIES
10 INDUSTRIAL METAVERSE MARKET, BY REGION
10.1 INTRODUCTION
10.1.1 RECESSION IMPACT ON INDUSTRIAL METAVERSE MARKET
10.2 NORTH AMERICA
10.2.1 RECESSION IMPACT ON INDUSTRIAL METAVERSE MARKET IN NORTH AMERICA
10.2.2 US
10.2.2.1 Mounting adoption of industrial robots in manufacturing sector to foster market growth
10.2.3 CANADA
10.2.3.1 Rising deployment of AI-based manufacturing technologies to drive market
10.2.4 MEXICO
10.2.4.1 Increasing implementation of electrical digital twin services to augment market growth
10.3 EUROPE
10.3.1 RECESSION IMPACT ON INDUSTRIAL METAVERSE MARKET IN EUROPE
10.3.2 GERMANY
10.3.2.1 Rising adoption of private networks to support industrial automation to boost market growth
10.3.3 UK
10.3.3.1 Increasing reliance on digital technologies to fuel market growth
10.3.4 FRANCE
10.3.4.1 Growing demand for electric and hybrid vehicles to drive market
10.3.5 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 RECESSION IMPACT ON INDUSTRIAL METAVERSE MARKET IN ASIA PACIFIC
10.4.2 CHINA
10.4.2.1 Increasing deployment of AR and VR technologies in branding and advertising campaigns to augment market growth
10.4.3 JAPAN
10.4.3.1 Growing demand for mobile broadband services to contribute to market growth
10.4.4 SOUTH KOREA
10.4.4.1 Rising IoT research and development to facilitate market growth
10.4.5 REST OF ASIA PACIFIC
10.5 ROW
10.5.1 RECESSION IMPACT ON INDUSTRIAL METAVERSE MARKET IN ROW
10.5.2 MIDDLE EAST
10.5.2.1 Burgeoning adoption of digital twin technology to design innovative industrial solutions to foster market growth
10.5.2.2 GCC countries
10.5.2.3 Rest of Middle East
10.5.3 AFRICA
10.5.3.1 Rising aircraft deliveries and mobile subscriptions to accelerate market growth
10.5.4 SOUTH AMERICA
10.5.4.1 Increasing investment in mining and exploration projects to drive market
11 COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
11.3 REVENUE ANALYSIS, 2018–2022
11.4 MARKET SHARE ANALYSIS, 2023
11.5 COMPANY VALUATION AND FINANCIAL METRICS
11.6 BRAND/PRODUCT COMPARISON
11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
11.7.1 STARS
11.7.2 EMERGING LEADERS
11.7.3 PERVASIVE PLAYERS
11.7.4 PARTICIPANTS
11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
11.7.5.1 Company footprint
11.7.5.2 Technology footprint
11.7.5.3 End-use industry footprint
11.7.5.4 Region footprint
11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
11.8.1 PROGRESSIVE COMPANIES
11.8.2 RESPONSIVE COMPANIES
11.8.3 DYNAMIC COMPANIES
11.8.4 STARTING BLOCKS
11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
11.8.5.1 Detailed list of key startups/SMEs
11.8.5.2 Competitive benchmarking of key startups/SMEs
11.9 COMPETITIVE SCENARIO AND TRENDS
11.9.1 PRODUCT LAUNCHES
11.9.2 DEALS
12 COMPANY PROFILES
12.1 KEY PLAYERS
12.1.1 NVIDIA CORPORATION
12.1.1.1 Business overview
12.1.1.2 Products/Solutions/Services offered
12.1.1.3 Recent developments
12.1.1.3.1 Product launches
12.1.1.3.2 Deals
12.1.1.4 MnM view
12.1.1.4.1 Key strengths/Right to win
12.1.1.4.2 Strategic choices
12.1.1.4.3 Weaknesses/Competitive threats
12.1.2 SIEMENS
12.1.2.1 Business overview
12.1.2.2 Products/Solutions/Services offered
12.1.2.3 Recent developments
12.1.2.3.1 Product launches
12.1.2.3.2 Deals
12.1.2.4 MnM view
12.1.2.4.1 Key strengths/Right to win
12.1.2.4.2 Strategic choices
12.1.2.4.3 Weaknesses/Competitive threats
12.1.3 MICROSOFT
12.1.3.1 Business overview
12.1.3.2 Products/Solutions/Services offered
12.1.3.3 Recent developments
12.1.3.3.1 Product launches
12.1.3.3.2 Deals
12.1.3.4 MnM view
12.1.3.4.1 Key strengths/Right to win
12.1.3.4.2 Strategic choices
12.1.3.4.3 Weaknesses/Competitive threats
12.1.4 ALPHABET INC.
12.1.4.1 Business overview
12.1.4.2 Products/Solutions/Services offered
12.1.4.3 Recent developments
12.1.4.3.1 Product launches
12.1.4.3.2 Deals
12.1.4.4 MnM view
12.1.4.4.1 Key strengths/Right to win
12.1.4.4.2 Strategic choices
12.1.4.4.3 Weaknesses/Competitive threats
12.1.5 IBM
12.1.5.1 Business overview
12.1.5.2 Products/Solutions/Services offered
12.1.5.3 Recent developments
12.1.5.3.1 Product launches
12.1.5.3.2 Deals
12.1.5.4 MnM view
12.1.5.4.1 Key strengths/Right to win
12.1.5.4.2 Strategic choices
12.1.5.4.3 Weaknesses/Competitive threats
12.1.6 META
12.1.6.1 Business overview
12.1.6.2 Products/Solutions/Services offered
12.1.6.3 Recent developments
12.1.6.3.1 Product launches
12.1.6.3.2 Deals
12.1.7 GE VERNOVA
12.1.7.1 Business overview
12.1.7.2 Products/Solutions/Services offered
12.1.7.3 Recent developments
12.1.7.3.1 Product launches
12.1.7.3.2 Deals
12.1.8 ABB
12.1.8.1 Business overview
12.1.8.2 Products/Solutions/Services offered
12.1.8.3 Recent developments
12.1.8.3.1 Deals
12.1.9 AMAZON WEB SERVICES, INC.
12.1.9.1 Business overview
12.1.9.2 Products/Solutions/Services offered
12.1.9.3 Recent developments
12.1.9.3.1 Product launches
12.1.9.3.2 Deals
12.1.10 HTC CORPORATION
12.1.10.1 Business overview
12.1.10.2 Products/Solutions/Services offered
12.1.10.3 Recent developments
12.1.10.3.1 Product launches
12.1.10.3.2 Deals
12.1.11 PTC
12.1.11.1 Business overview
12.1.11.2 Products/Solutions/Services offered
12.1.11.3 Recent developments
12.1.11.3.1 Product launches
12.1.11.3.2 Deals
12.1.12 DASSAULT SYST?MES
12.1.12.1 Business overview
12.1.12.2 Products/Solutions/Services offered
12.1.12.3 Recent developments
12.1.12.3.1 Product launches
12.1.12.3.2 Deals
12.1.13 INTEL CORPORATION
12.1.13.1 Business overview
12.1.13.2 Products/Solutions/Services offered
12.1.13.3 Recent developments
12.1.13.3.1 Product launches
12.1.13.3.2 Deals
12.1.14 NOKIA
12.1.14.1 Business overview
12.1.14.2 Products/Solutions/Services offered
12.1.14.3 Recent developments
12.1.14.3.1 Deals
12.1.15 SCHNEIDER ELECTRIC
12.1.15.1 Business overview
12.1.15.2 Products/Solutions/Services offered
12.1.15.3 Recent developments
12.1.15.3.1 Product launches
12.1.15.3.2 Deals
12.2 OTHER PROMINENT PLAYERS
12.2.1 SAMSUNG
12.2.2 SONY GROUP CORPORATION
12.2.3 DELL INC.
12.2.4 ANSYS, INC
12.2.5 ZTE CORPORATION
12.2.6 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
12.2.7 TELEFONAKTIEBOLAGET LM ERICSSON
12.2.8 CISCO SYSTEMS, INC.
12.2.9 APPLE INC.
12.2.10 ORACLE
12.2.11 SAP
12.2.12 BENTLEY SYSTEMS, INCORPORATED
12.2.13 MAGIC LEAP, INC.
12.3 OTHER PLAYERS
12.3.1 ARUVR
12.3.2 COSMO TECH
12.3.3 AQUANT
12.3.4 BRIGHT MACHINES, INC.
12.3.5 ZEDEDA
12.3.6 LITMUS AUTOMATION INC.
12.3.7 SCOPE AR
13 ADJACENT MARKET
13.1 INTRODUCTION
13.2 SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY
13.3 INDUSTRIAL 3D PRINTING
13.3.1 EMPHASIS ON SIMPLIFYING MANUFACTURING OF INDUSTRIAL TOOLS WITH COMPLEX DESIGNS TO BOOST SEGMENTAL GROWTH
13.4 INDUSTRIAL ROBOTS
13.4.1 DEPLOYMENT OF AI AND ML TECHNOLOGIES TO IMPROVE INDUSTRIAL OPERATIONS TO CONTRIBUTE TO SEGMENTAL GROWTH
13.5 INDUSTRIAL SENSORS
13.5.1 REQUIREMENT FOR HIGH-SPEED AND RELIABLE DATA TRANSMISSION TO FUEL SEGMENTAL GROWTH
13.6 AI IN MANUFACTURING
13.6.1 RELIANCE ON ADVANCED TECHNOLOGY TO REVOLUTIONIZE MANUFACTURING OPERATIONS TO FOSTER SEGMENTAL GROWTH
13.7 MACHINE CONDITION MONITORING
13.7.1 RELIANCE ON PREDICTIVE MONITORING SYSTEMS TO DETECT THREATS AND TAKE REMEDIAL ACTIONS TO FUEL SEGMENTAL GROWTH
13.8 INDUSTRIAL MACHINE VISION
13.8.1 ADOPTION OF 3D TECHNOLOGY IN MANUFACTURING PROCESSES TO ACCELERATE SEGMENTAL GROWTH
13.9 INDUSTRIAL CYBERSECURITY
13.9.1 RELIANCE ON SECURE CONTROL SYSTEMS TO FUEL SEGMENTAL GROWTH
13.10 DIGITAL TWIN
13.10.1 NEED FOR DESIGN OPTIMIZATION IN MANUFACTURING SECTOR TO CONTRIBUTE TO SEGMENTAL GROWTH
13.11 AUTOMATED GUIDED VEHICLES
13.11.1 DEPLOYMENT OF 5G TO PROVIDE HIGH-SPEED VEHICLE CONNECTIVITY AND NAVIGATION TO FOSTER SEGMENTAL GROWTH
14 APPENDIX
14.1 INSIGHTS FROM INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.4 CUSTOMIZATION OPTIONS
14.5 RELATED REPORTS
14.6 AUTHOR DETAILS
