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市場調查報告書
商品編碼
1370827
工業元宇宙市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測,按技術、解決方案、按應用、組織規模、最終用戶垂直、地區和競爭細分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 |
由於包括汽車在內的多個行業對元宇宙的接受度不斷提高,全球工業元宇宙市場預計在預測期內將成長。此外,該產業越來越依賴元宇宙來進行原型模擬,這可能會增加銷售量。人們越來越重視提高生產力和員工體驗以及降低整體成本,這將鼓勵採用工業元宇宙解決方案。
市場概況 | |
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預測期 | 2024-2028 |
2022 年市場規模 | 667.4億美元 |
2028 年市場規模 | 7111.1億美元 |
2023-2028 年年複合成長率 | 48.31% |
成長最快的細分市場 | 混合實境 |
最大的市場 | 北美洲 |
物聯網在工業元宇宙的發展中扮演重要角色。它提供有關機器、設備和流程性能的即時資料。物聯網設備可以整合到各種工業設備中,例如監測溫度、壓力和振動的感測器。
物聯網設備從感測器和機器等各種來源收集即時資料,並將其發送到數位孿生模型進行分析和模擬。透過使用物聯網感測器從現實世界中的實體物件收集資料,數位孿生模型可以建立實體物件的虛擬副本。這可以更好地監控、最佳化和分析工業流程。
在工業元宇宙中,數位孿生可以透過物聯網網路連接起來,創造一個全面的數位生態系統。這種互連允許各種數位孿生和現實世界設備之間的無縫通訊,從而能夠更全面地了解整個工業流程。
物聯網為數位孿生模型提供了準確模擬和最佳化工業流程所需的真實世界資料,使其成為工業元宇宙的關鍵組成部分。透過利用物聯網技術,製造業可以提高效率、降低成本並提高在全球工業元宇宙市場的競爭力。
工業元宇宙是數位和實體領域的融合,其中人、機器、資料和流程在虛擬和實際位置之間無縫連結和即時通訊。數位孿生是工業虛擬世界中實際系統、程序和資產的動態替代品。
工業虛擬世界中的數位孿生概念是指在虛擬世界中創建實體資產、系統或流程的虛擬副本。可以透過多種方式利用這些數位孿生來增強工業運作和決策。例如,數位孿生在工業元宇宙中的主要應用之一是預測性維護,其中數位孿生可以即時模擬物理資產的行為,從而實現預測性維護。透過監控和分析來自虛擬雙胞胎的資料,可以在潛在問題或故障在物理世界中發生之前識別它們。這有助於最佳化和維護計劃、減少停機時間並延長資產的使用壽命。
同樣,工業虛擬世界中的數位孿生用於流程最佳化,其中工業流程在物理世界中修改或最佳化可能非常複雜且昂貴。透過創建數位孿生,公司可以嘗試不同的場景、測試流程變更並確定最有效的配置。它可以持續改進流程、降低成本並提高生產力。
因此,隨著數位孿生在工業元宇宙中的應用不斷成長,預計市場將在預測期內擴大。
5G技術的到來,讓工業虛擬宇宙的發展變得更容易。即時資料和實際物品的數位表示相結合,在工業虛擬世界中創建身臨其境的互動體驗。
與先前版本的無線技術相比,5G 的資料傳輸速度明顯更快。高速網路使海量資料的即時串流和處理成為可能。例如,可以以更少的延遲即時監控和管理工業流程,從而實現更有效、更快速的操作。
在 5G 網路中,資料在設備和網路之間傳輸所需的時間極短。實體和虛擬元素之間的即時互動在工業虛擬世界中至關重要,其中需要近乎即時的通訊。低延遲允許虛擬項目與其實際等價物的精確控制和同步,從而改善遠端機器人和擴增實境 (AR) 維護等應用。
虛擬實境(VR)、擴增實境(AR)、物聯網(IoT)和加密貨幣肯定會被採用,即使工業虛擬宇宙的最終實現與當前的想法不同。由於這些技術,物理世界和數位世界可能會融合和同步。然而,它們將為詐欺者提供更多傷害個人和公司的機會。對工業元宇宙環境中資料安全和隱私的擔憂、用戶身份問題以及說服用戶在這些環境中使用支付服務的挑戰是預計在預測期內在一定程度上抑制全球工業元宇宙市場收入成長的一些關鍵因素。儘管企業和組織定期更新現有的 IT 安全措施,但資料安全仍然是消費者在任何數位環境中提高互動性的主要障礙和阻礙。
需要在設備和站點安全方面取得進一步的技術突破,以確保在不斷擴展的環境中提高使用者的安全性和信心。隨著企業努力建立工業虛擬世界,駭客將能夠利用物聯網、AR、VR和數位貨幣的弱點對幾乎所有行業進行攻擊。冒險進入工業虛擬世界的組織將需要基礎設施和連接設備的風險評估能力。如果工業元宇宙系統在安全和隱私方面遇到失敗,那麼它們幾乎肯定會有一個艱難的開始,並可能成為採用的主要障礙。這將需要創建和實施新的、更有效的解決方案來保護私人資訊和資料機密性,並更加重視確保使用者虛擬身分的安全。
實施工業虛擬世界可能是一項昂貴的任務。因此,組織在投資該技術之前必須考慮此類企業的財務影響。第一個挑戰是開發技術的成本。許多企業和組織需要更多資源來建立工業元宇宙,這意味著他們必須從第三方供應商購買技術。這可能非常昂貴,特別是對於大型企業而言。
第二個財務挑戰是培訓員工使用該技術的成本。組織需要培訓員工使用工業虛擬宇宙,這可能既昂貴又耗時。此外,員工必須定期接受更新和培訓,以正確使用該技術。
第三個缺點是維護該技術的成本。工業虛擬世界需要定期維護和更新才能保持功能和安全。這可能會很昂貴,因為組織必須投資額外的硬體、軟體和人員來管理和維持技術的運作。
最後,第四個缺點是將技術與現有系統整合的成本。組織必須將工業虛擬宇宙與其他系統結合起來,以確保所有資料都得到安全存儲,並且該技術可以充分發揮其潛力。由於技術的複雜性,這可能很困難且成本高昂。
全球工業元宇宙市場分為技術、解決方案、應用、組織規模、最終用戶垂直和區域。根據技術,市場分為虛擬實境(VR)、擴增實境(AR)和混合實境(MR)。根據解決方案,市場分為 3D 建模和模擬、人工智慧 (AI)、區塊鏈等。根據應用,市場分為產品設計和開發、虛擬原型、培訓和模擬、遠端協作、維護和維修、供應鏈最佳化以及資料視覺化和分析。根據組織規模,市場分為大型企業和中小企業。根據最終用戶垂直領域,市場分為航空航太、汽車、工業自動化、醫療保健、製造等。依地區分類,市場分為歐洲、北美、亞太地區、南美洲、中東和非洲。
全球工業元宇宙市場的主要參與者包括微軟公司、西門子公司、PTC公司、NVIDIA公司、HTC公司、達梭系統公司、Magic Leap公司、Swanson分析系統公司、Bentley系統公司和Unity軟體公司。
在本報告中,除了以下詳細介紹的產業趨勢外,全球工業元宇宙市場還分為以下幾類:
(註:公司名單可依客戶要求客製化)
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)