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市场调查报告书
商品编码
1370827
工业元宇宙市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测,按技术、解决方案、按应用、组织规模、最终用户垂直、地区和竞争细分Industrial Metaverse Market- Global Industry Size, Share, Trends, Opportunities, and Forecast, 2018-2028 Segmented By Technologies, By Solution, By Application, By Organization Size, By End-User Vertical, By Region and Competition |
由于包括汽车在内的多个行业对元宇宙的接受度不断提高,全球工业元宇宙市场预计在预测期内将成长。此外,该产业越来越依赖元宇宙来进行原型模拟,这可能会增加销售量。人们越来越重视提高生产力和员工体验以及降低整体成本,这将鼓励采用工业元宇宙解决方案。
市场概况 | |
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预测期 | 2024-2028 |
2022 年市场规模 | 667.4亿美元 |
2028 年市场规模 | 7111.1亿美元 |
2023-2028 年复合年增长率 | 48.31% |
成长最快的细分市场 | 混合现实 |
最大的市场 | 北美洲 |
物联网在工业元宇宙的发展中扮演重要角色。它提供有关机器、设备和流程性能的即时资料。物联网设备可以整合到各种工业设备中,例如监测温度、压力和振动的感测器。
物联网设备从感测器和机器等各种来源收集即时资料,并将其发送到数位孪生模型进行分析和模拟。透过使用物联网感测器从现实世界中的实体物件收集资料,数位孪生模型可以建立实体物件的虚拟副本。这可以更好地监控、优化和分析工业流程。
在工业元宇宙中,数位孪生可以透过物联网网路连接起来,创造一个全面的数位生态系统。这种互连允许各种数位孪生和现实世界设备之间的无缝通信,从而能够更全面地了解整个工业流程。
物联网为数位孪生模型提供了准确模拟和优化工业流程所需的真实世界资料,使其成为工业元宇宙的关键组成部分。透过利用物联网技术,製造业可以提高效率、降低成本并提高在全球工业元宇宙市场的竞争力。
工业元宇宙是数位和实体领域的融合,其中人、机器、资料和流程在虚拟和实际位置之间无缝连结和即时通讯。数位孪生是工业虚拟世界中实际系统、程序和资产的动态替代品。
工业虚拟世界中的数位孪生概念是指在虚拟世界中创建实体资产、系统或流程的虚拟副本。可以透过多种方式利用这些数位孪生来增强工业运作和决策。例如,数位孪生在工业元宇宙中的主要应用之一是预测性维护,其中数位孪生可以即时模拟物理资产的行为,从而实现预测性维护。透过监控和分析来自虚拟双胞胎的资料,可以在潜在问题或故障在物理世界中发生之前识别它们。这有助于优化和维护计划、减少停机时间并延长资产的使用寿命。
同样,工业虚拟世界中的数位孪生用于流程优化,其中工业流程在物理世界中修改或优化可能非常复杂且昂贵。透过创建数位孪生,公司可以尝试不同的场景、测试流程变更并确定最有效的配置。它可以持续改进流程、降低成本并提高生产力。
因此,随着数位孪生在工业元宇宙中的应用不断增长,预计市场将在预测期内扩大。
5G技术的到来,让工业虚拟宇宙的发展变得更容易。即时资料和实际物品的数位表示相结合,在工业虚拟世界中创建身临其境的互动体验。
与先前版本的无线技术相比,5G 的资料传输速度明显更快。高速网路使海量资料的即时串流和处理成为可能。例如,可以以更少的延迟即时监控和管理工业流程,从而实现更有效、更快速的操作。
在 5G 网路中,资料在设备和网路之间传输所需的时间极短。实体和虚拟元素之间的即时互动在工业虚拟世界中至关重要,其中需要近乎即时的通讯。低延迟允许虚拟项目与其实际等价物的精确控制和同步,从而改善远端机器人和扩增实境 (AR) 维护等应用。
虚拟实境(VR)、扩增实境(AR)、物联网(IoT)和加密货币肯定会被采用,即使工业虚拟宇宙的最终实现与当前的想法不同。由于这些技术,物理世界和数位世界可能会融合和同步。然而,它们将为诈欺者提供更多伤害个人和公司的机会。对工业元宇宙环境中资料安全和隐私的担忧、用户身份问题以及说服用户在这些环境中使用支付服务的挑战是预计在预测期内在一定程度上抑制全球工业元宇宙市场收入成长的一些关键因素。儘管企业和组织定期更新现有的 IT 安全措施,但资料安全仍然是消费者在任何数位环境中提高互动性的主要障碍和阻碍。
需要在设备和站点安全方面取得进一步的技术突破,以确保在不断扩展的环境中提高使用者的安全性和信心。随着企业努力建立工业虚拟世界,骇客将能够利用物联网、AR、VR和数位货币的弱点对几乎所有行业进行攻击。冒险进入工业虚拟世界的组织将需要基础设施和连接设备的风险评估能力。如果工业元宇宙系统在安全和隐私方面遇到失败,那么它们几乎肯定会有一个艰难的开始,并可能成为采用的主要障碍。这将需要创建和实施新的、更有效的解决方案来保护私人资讯和资料机密性,并更加重视确保使用者虚拟身分的安全。
实施工业虚拟世界可能是一项昂贵的任务。因此,组织在投资该技术之前必须考虑此类企业的财务影响。第一个挑战是开发技术的成本。许多企业和组织需要更多资源来建立工业元宇宙,这意味着他们必须从第三方供应商购买技术。这可能非常昂贵,特别是对于大型企业而言。
第二个财务挑战是培训员工使用该技术的成本。组织需要培训员工使用工业虚拟宇宙,这可能既昂贵又耗时。此外,员工必须定期接受更新和培训,以正确使用该技术。
第三个缺点是维护该技术的成本。工业虚拟世界需要定期维护和更新才能保持功能和安全。这可能会很昂贵,因为组织必须投资额外的硬体、软体和人员来管理和维持技术的运作。
最后,第四个缺点是将技术与现有系统整合的成本。组织必须将工业虚拟宇宙与其他系统结合起来,以确保所有资料都得到安全存储,并且该技术可以充分发挥其潜力。由于技术的复杂性,这可能很困难且成本高昂。
全球工业元宇宙市场分为技术、解决方案、应用、组织规模、最终用户垂直和区域。根据技术,市场分为虚拟实境(VR)、扩增实境(AR)和混合实境(MR)。根据解决方案,市场分为 3D 建模和模拟、人工智慧 (AI)、区块链等。根据应用,市场分为产品设计和开发、虚拟原型、培训和模拟、远端协作、维护和维修、供应链优化以及资料视觉化和分析。根据组织规模,市场分为大型企业和中小企业。根据最终用户垂直领域,市场分为航空航太、汽车、工业自动化、医疗保健、製造等。依地区划分,市场分为欧洲、北美、亚太地区、南美洲、中东和非洲。
全球工业元宇宙市场的主要参与者包括微软公司、西门子公司、PTC公司、NVIDIA公司、HTC公司、达梭系统公司、Magic Leap公司、Swanson分析系统公司、Bentley系统公司和Unity软体公司。
在本报告中,除了以下详细介绍的产业趋势外,全球工业元宇宙市场还分为以下几类:
(註:公司名单可依客户要求客製化)
Global industrial metaverse market is expected to grow during the forecast period due to the growing acceptance of metaverse across several industries, including automotive. Additionally, the industry's growing reliance on the metaverse to conduct simulations for prototypes will probably increase sales. Adoption of industrial metaverse solutions will be encouraged by the rising emphasis on enhancing productivity and the employee experience as well as lowering overall costs.
The industrial metaverse combines the digital and physical worlds to increase efficiency in engineering, production, and field service. Although it is currently in its early phases, the goal is to provide real-time collaboration, networking, and spatially aware context in industrial situations. In other words, it is a particular implementation of the metaverse idea in the manufacturing, building, and engineering fields. Engineers, designers, and other stakeholders will be able to work together in real-time in the industrial metaverse regardless of where they are physically.
Market Overview | |
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Forecast Period | 2024-2028 |
Market Size 2022 | USD 66.74 Billion |
Market Size 2028 | USD 711.11 Billion |
CAGR 2023-2028 | 48.31% |
Fastest Growing Segment | Mixed Reality |
Largest Market | North America |
IoT plays a significant role in the development of the industrial metaverse. It provides real-time data on the performance of machines, equipment and processes. IoT devices can be integrated into a wide range of industrial equipment, such as sensors that monitor temperature, pressure, and vibration.
IoT devices gather real-time data from various sources, such as sensors and machines, and send it to a digital twin model for analysis and simulation. By using IoT sensors to collect data from physical objects in the real world, digital twin models can create a virtual replica of the physical object. This allows for better monitoring, optimization, and analysis of industrial processes.
In the industrial metaverse, digital twins can be connected through IoT networks, creating a comprehensive digital ecosystem. This interconnection allows for seamless communication between various digital twins and real-world devices, enabling a more comprehensive view of the entire industrial process.
IoT provides the real-world data necessary for digital twin models to accurately simulate and optimize industrial processes, making it a critical component of the industrial metaverse. By leveraging IoT technology, the manufacturing industry can improve efficiency, reduce costs and increase competitiveness in the global industrial metaverse market.
The industrial metaverse is the fusion of the digital and physical realms, where people, machines, data, and processes are seamlessly linked and communicate real-time across virtual and actual locations. Digital twins serve as a dynamic substitute for actual systems, procedures, and assets in the industrial metaverse.
The concept of digital twins in the industrial metaverse refers to creating virtual replicas of physical assets, systems, or processes in the virtual world. These digital twins can be leveraged in various ways to enhance industrial operations and decision-making. For instance, one of the major applications of digital twins in industrial metaverse is predictive maintenance in which digital twins can simulate the behaviour of physical assets in real-time, enabling predictive maintenance. By monitoring and analysing data from the virtual twin, it becomes possible to identify potential issues or failures before they occur in the physical world. This helps in optimizing and maintaining schedules, reducing downtime, and increase lifespan of assets.
Similarly, digital twins in industrial metaverse are used for process optimization where industrial processes can be complex and expensive to modify or optimize in the physical world. By creating digital twins, companies can experiment with different scenarios, test process changes, and identify the most efficient configurations. It allows for continuous process improvement, cost reduction, and enhanced productivity.
Hence, with the growing applications of digital twins in Industrial metaverse, the market is predicted to expand during the forecast period.
The development of the industrial metaverse is being made easier by the arrival of 5G technology. Real-time data and digital representations of actual items are combined to create immersive and interactive experiences in the industrial metaverse.
In comparison to previous versions of wireless technology, 5G delivers noticeably quicker data transfer speeds. Real-time streaming and processing of massive amounts of data are made possible by the high-speed network. For instance, real-time monitoring and management of industrial processes are possible with less latency, enabling more effective and quick operations.
The amount of time it takes for data to go between devices and networks is extremely low in 5G networks. Real-time interactions between physical and virtual elements are critical in the industrial metaverse, where near-instantaneous communication is necessary. Low latency improves applications like remote robotics and augmented reality (AR) maintenance by allowing exact control and synchronisation of virtual items with their actual equivalents.
Virtual reality (VR), augmented reality (AR), the Internet of Things (IoT), and cryptocurrencies will surely be employed, even if the industrial metaverse's eventual implementation is different from the current idea. The physical and digital worlds might converge and synchronise because of these technologies. However, they will provide fraudsters more chances to harm people and companies. Concerns about data security and privacy in industrial metaverse environments, issues about user identity, and challenges of persuading users to use payment services in these settings are some key factors expected to stifle the global industrial metaverse market revenue growth to some extent during the forecast period. Data security remains a major barrier and impediment for consumers becoming more interactive in any digital environment, despite the businesses and organizations regularly updating existing IT security measures.
Further technological breakthroughs in device and site security are required to ensure improved user safety and confidence in an ever-expanding environment. As companies strive to construct the industrial metaverse, hackers will be able to use weaknesses in IoT, AR, VR, and digital money to conduct assaults virtually across all industries. Risk assessment capabilities for infrastructure and connected devices will be required for organizations that venture into the industrial metaverse. If industrial metaverse systems experience failure in security and privacy, they are almost certain to have a rough start and might become a major roadblock to adoption. This will necessitate the creation and implementation of new and more effective solutions to protect private information and secure data confidentiality, with a greater focus on ensuring the safety of the virtual identities of users.
Implementing the industrial metaverse can be an expensive undertaking. Therefore, organizations must consider the financial implications of such a venture before investing in the technology. The first challenge is the cost of developing the technology. Many businesses and organizations need more resources to build the industrial metaverse, which means they must purchase the technology from third-party vendors. This can be incredibly expensive, especially for large enterprises.
The second financial challenge is the cost of training employees to use the technology. Organizations need to train their staff to use the industrial metaverse, which can be costly and time-consuming. Furthermore, staff must be regularly updated and trained to use the technology correctly.
The third drawback is the cost of maintaining the technology. The industrial metaverse requires regular maintenance and updates to remain functional and secure. This can be expensive, as organizations must invest in additional hardware, software, and personnel to manage and keep the technology going.
Finally, the fourth downfall is the cost of integrating the technology with existing systems. Organizations must incorporate the industrial metaverse with other systems to ensure that all data is safely stored, and the technology can be used to its fullest potential. This can be difficult and costly due to the technology's complexity.
Global industrial metaverse market is segmented into technologies, solution, application, organization size, end-user vertical, and region. Based on technologies, the market is segmented into virtual reality (VR), augmented reality (AR), and mixed reality (MR). Based on solution, the market is segmented into 3D modelling & simulation, Artificial Intelligence (AI), blockchain, and others. Based on application, the market is segmented into product design & development, virtual prototyping, training & simulation, remote collaboration, maintenance & repair, supply chain optimization, and data visualization & analytics. Based on organization size, the market is segmented into large enterprise and small & medium enterprises. Based on end-user vertical, the market is segmented into aerospace, automotive, industrial automation, healthcare, manufacturing, and others. Based on region, the market is segmented into Europe, North America, Asia-Pacific, South America, and Middle East & Africa.
Major players in the global industrial metaverse market are Microsoft Corporation, Siemens AG, PTC Inc, NVIDIA Corporation, HTC Corporation, Dassault Systemes SE, Magic Leap, Inc., Swanson Analysis Systems Inc., Bentley Systems, Incorporated, and Unity Software Inc.
In this report, global Industrial Metaverse market has been segmented into following categories, in addition to the industry trends which have also been detailed below:
(Note: The companies list can be customized based on the client requirements)