市场调查报告书
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1466476
数位双胞胎市场:按类型、部署模式、公司规模、应用、产业划分 - 2024-2030 年全球预测Digital Twin Market by Type (Process Digital Twin, Product Digital Twin, System Digital Twin), Deployment Mode (On Premices, On-Cloud), Enterprise Size, Application, Industry - Global Forecast 2024-2030 |
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预计2023年数位双胞胎市场规模为141.6亿美元,2024年将达168.2亿美元,预计2030年将达535.1亿美元,复合年增长率为20.90%。
数位双胞胎是一种创新技术,可创建实体物件、设备、流程、环境等的虚拟模型或数位表示,其行为、类比和外观与现实世界中的对应对象相似。数位双胞胎在许多领域都有应用,包括製造、汽车、医疗保健、能源和基础设施。这些产业促进产品设计、流程优化、预测性维护和决策。物联网、机器学习和巨量资料分析的持续改进对于数位双胞胎的发展至关重要,从而实现更复杂、更准确的模型。此外,由工业 4.0倡议推动的产业数位转型将显着加速数位双胞胎的采用。然而,数位双胞胎技术的复杂性需要熟练的劳动力,而当前的技能差距对快速采用构成了挑战。此外,确保与数位双胞胎相关的资料的隐私和安全的需求也可能阻碍市场成长。然而,主要企业不断寻求资料加密和身分验证技术的进步,以防止资料外洩和资料隐私的丧失。将数位双胞胎与扩增实境、虚拟实境和区块链相结合,为该行业开闢了新的成长途径。此外,数位双胞胎在城市规划和智慧基础设施开发的应用具有巨大的市场拓展潜力。
主要市场统计 | |
---|---|
基准年[2023] | 141.6亿美元 |
预测年份 [2024] | 168.2亿美元 |
预测年份 [2030] | 535.1亿美元 |
复合年增长率(%) | 20.90% |
汽车产业的全球扩张需要引入类型产品数位双胞胎
流程数位双胞胎是一种先进的数位表示形式,可模拟复杂的生产流程,使製造商和公司能够理解、分析和最佳化流程操作。此数位双胞胎主要用于流程监控和故障排除、流程设计和营运改进以及预测性维护。产品数位双胞胎可实现设计最佳化、效能追踪、生命週期管理,并专注于单一产品的细节。汽车、航太和电子等产品复杂的产业通常会利用产品数位双胞胎。系统数位双胞胎是一种复合数位组件,它集中了各种产品和流程的孪生来代表整个系统或设施。这种配置对于多个流程和产品相互作用的复杂系统特别有用,例如智慧城市、综合能源系统和大型製造工厂。
部署方式:新兴企业首选的云端部署方式
本地部署是指使用私有伺服器在组织的实体设施中实施数位双胞胎技术。此方法可让您完全控制基础设施和资料,确保高水准的安全性并符合特定产业法规。具有严格资料安全要求的组织可能更喜欢本地部署,以确保资料永远不会离开受控环境。在云端配置模型中,数位双胞胎託管在第三方云端服务供应商的基础架构上。此选项通常提供扩充性、弹性、较低的初始成本以及对先进技术的存取。寻求扩展的新兴企业和其他企业可以从云端基础的解决方案提供的弹性可扩展性中受益。
企业规模:大型企业对综合数位双胞胎技术的需求不断增加
大公司通常有资金投资全面的数位双胞胎技术,并希望将其整合到各个部门和地点。这些公司通常在全球范围内运营,拥有复杂的供应链和广泛的资产组合。这种复杂性需要具有高粒度和扩充性的强大数位双胞胎解决方案。大型企业的需求包括先进的分析能力、广泛的整合能力和高扩充性。对于中小型企业来说,由于资源和预算有限,数位双胞胎的方法更加保守。这些公司正在寻找易于实施并能立即实现业务改进的经济高效的解决方案。中小型企业通常寻求灵活的模组化解决方案来满足其特定需求,而不是广泛的企业范围部署。
应用不同产业对预测性维护的需求推动了机器和设备的健康监测
机械设备健康监测着重于使用数位双胞胎来监测机械设备的健康状况和性能。这些虚拟表示可实现预测性维护、故障侦测和效能最佳化。使用重型机械的行业受益于这项技术,因为它可以最大限度地减少停机时间并降低维修和维护成本。流程支援和服务中的数位双胞胎可以改进各种系统的规划、培训和操作。这些技术通常用于工业流程中,以模拟不同的场景并优化流程。虽然健康监测产业严重依赖即时资料和预测分析,但流程支援解决方案受益于情境建模和服务改进。产品设计和开发允许在实际建造之前虚拟创建和迭代复杂的产品。这使得潜在的障碍能够在设计阶段的早期解决,从而节省大量的时间、成本和资源。
全球对製造工厂的投资激增,创造了对工业数位双胞胎技术的需求
航太和国防工业使用数位双胞胎技术来模拟和分析飞机和国防系统。在农业领域,数位双胞胎用于精密农业、牲畜监测和资源管理。支援基于即时资料的决策、促进永续实践、改进产量预测等等。汽车领域的数位双胞胎支援车辆开发、交通管理和基础设施建模。能源和公共事业公司使用数位双胞胎对能源系统、电网和工厂进行建模,以提高效率和可靠性。关键领域包括再生能源来源的整合、电网弹性和预测性基础设施维护。在医疗保健和生命科学产业,数位双胞胎正在帮助病患监测、手术规划和个人化医疗的发展。製造业中的数位双胞胎技术对于产品设计、生产计画和控制以及供应链优化至关重要。在石油和天然气领域,数位双胞胎被用于探勘、钻机的预测性维护以及管道和精製的监控。在住宅和商业应用中,数位双胞胎正在为智慧建筑设计、能源管理和基础设施维护做出贡献。在零售和消费品行业,数位双胞胎用于供应链可视性、虚拟库存管理和改善客户体验。
区域洞察
在美洲,美国和加拿大是数位双胞胎产业的关键国家,拥有坚实的技术基础设施、主要参与者以及不断的创新和产品发布。此外,政府透过采用数位双胞胎等先进技术推动製造业、医疗保健、航太和汽车等行业发展的倡议正在推动采用。欧盟对数位双胞胎的关注旨在实现成员国之间的标准化和互通性,增加对智慧製造和工业 4.0 计划的投资。此外,欧盟为实现製造业永续性製定的多项法规、标准和倡议导致了对数位双胞胎技术的大量投资。印度是快速发展的製造业和 IT 中心,在「数位印度」等政府倡议的推动下,正在迅速采用数位双胞胎技术,特别是在智慧城市和基础设施开发领域。在日本,我们专注于使用数位双胞胎来提高汽车和电子行业的效率和品质。该地区科技新兴企业的崛起为数数位双胞胎扩张带来了新的机会。
FPNV定位矩阵
FPNV定位矩阵对于评估数位双胞胎市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对数位双胞胎市场中供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4. 竞争评估和情报:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况和製造能力进行全面评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1.数位双胞胎市场的市场规模和预测是多少?
2. 在数位双胞胎市场预测期内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3.数位双胞胎市场的技术趋势和法规结构是什么?
4.数位双胞胎市场主要厂商的市场占有率是多少?
5.进入数位双胞胎市场的合适型态和策略手段是什么?
[193 Pages Report] The Digital Twin Market size was estimated at USD 14.16 billion in 2023 and expected to reach USD 16.82 billion in 2024, at a CAGR 20.90% to reach USD 53.51 billion by 2030.
A digital twin is an innovative technology that creates a virtual or digital model or representation of a physical object, equipment, process, or environment that acts, simulates, and looks similar to its counterpart in the real world. Digital twin find applications in numerous sectors, including manufacturing, automotive, healthcare, energy, and infrastructure. In these industries, they facilitate product design, process optimization, predictive maintenance, and decision-making. Continuous improvements in IoT, machine learning, and big data analytics are pivotal to the growth of digital twin, allowing for more sophisticated and accurate models. Furthermore, the digital transformation of industries, driven by the Industry 4.0 initiatives, significantly promotes the adoption of digital twin. However, the complexity of digital twin technology requires a skilled workforce, with the current skill gap presenting a challenge to rapid adoption. Additionally, the need to ensure the privacy and security of data associated with digital twin can hinder market growth. However, major players are constantly exploring advancements in data encryption and authentication technologies to prevent data breaches and loss of data privacy. Combining digital twin with augmented reality, virtual reality, and blockchain creates new avenues of growth for the industry. Additionally, the utilization of digital twin in urban planning and smart infrastructure development offers vast potential for market expansion.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 14.16 billion |
Estimated Year [2024] | USD 16.82 billion |
Forecast Year [2030] | USD 53.51 billion |
CAGR (%) | 20.90% |
Type: Expansion of the automotive sector across the world necessitating adoption of product digital twin
The process digital twin is an advanced digital representation that simulates complex production processes, allowing manufacturers and business enterprises to understand, analyze, and optimize the operations of their processes. This digital twin variant is primarily used to monitor and troubleshoot process flows, improve process design and operations, and conduct predictive maintenance. Product digital twin focus on the granular details of a single product, allowing for design optimization, performance tracking, and lifecycle management. Industries that involve complex products, such as automotive, aerospace, and electronics, often leverage product digital twin. The system digital twin is a composite digital construct that aggregates various product and process twin to represent an entire system or facility. This configuration is especially beneficial for complex systems where multiple processes and products interact, such as smart cities, integrated energy systems, and large manufacturing plants.
Deployment Mode: Preference of startups for on-cloud deployment mode
On-premises deployment refers to the implementation of digital twin technology on the organization's physical facilities using its private servers. This method provides complete control over the infrastructure and data, ensuring high levels of security and compliance with industry-specific regulations. Organizations with stringent data security requirements may prefer on-premises deployment to ensure their data doesn't leave their controlled environment. With the on-cloud deployment model, the digital twin is hosted on the infrastructure of third-party cloud service providers. This option typically delivers scalability, flexibility, lower upfront costs, and access to advanced technologies. Businesses expecting to scale their operations, such as startups, can benefit from the elastic scalability offered by cloud-based solutions.
Enterprise Size: Growing demand for comprehensive digital twin technologies from large enterprises
Large enterprises often have the capital to invest in comprehensive digital twin technologies, seeking to integrate them across various departments and locations. These companies typically operate on a global scale, with complex supply chains and extensive asset portfolios. This complexity demands a robust digital twin solution that can offer a high level of granularity and the ability to scale. The need-based preferences for large enterprises include advanced analytics, extensive integration capabilities, and high scalability. For small and medium enterprises (SMEs), the approach to digital twin is more conservative due to limited resources and budget constraints. These companies require cost-effective solutions that can provide immediate operational improvements and are easy to implement. SMEs are often looking for flexible, modular solutions that cater to specific needs rather than an extensive enterprise-wide deployment.
Application: Need for predictive maintenance in diverse industries driving machine & equipment health monitoring
Machine & equipment health monitoring focuses on monitoring the health and performance of machines and equipment through the use of digital twin. These virtual representations enable predictive maintenance, fault detection, and performance optimization. Industries with heavy machinery benefit from this technology as it minimizes downtime and reduces costs associated with repairs and maintenance. Digital twin in process support and service enable improved planning, training, and operation of various systems. They are often used in the context of industrial processes to simulate different scenarios and optimize process flows. While the health monitoring segment relies largely on real-time data and predictive analytics, process support solutions benefit from scenario modeling and service improvements. In product design and development, digital twin assist in creating and iterating complex products virtually before they are built physically. This saves significant amounts of time, money, and resources as potential hurdles can be resolved early in the design phase.
Industry: Burgeoning investments in manufacturing plants across the world creating demand for digital twin technologies
The aerospace and defense industry leverages digital twin technology largely for the simulation and analysis of aircraft and defense systems. In agriculture, digital twins are utilized for precision farming, livestock monitoring, and resource management. They offer decision support based on real-time data, facilitate sustainable practices, and improve yield predictions. Digital twin in the automotive sector supports the development of vehicles, traffic management, and infrastructure modeling. Energy and utility companies use digital twins to model energy systems, grids, and plants for improved efficiency and reliability. Key preferences include the integration of renewable energy sources, grid resilience, and predictive maintenance of infrastructure. In the healthcare and life sciences industry, digital twins aid in patient monitoring, surgical planning, and the development of personalized medicine. Digital twin technology in manufacturing is pivotal for product design, production planning and management, and supply chain optimization. The oil and gas sector employs digital twins for exploration, predictive maintenance of rigs, and monitoring of pipelines and refineries. For residential and commercial applications, digital twins contribute to smart building design, energy management, and infrastructure maintenance. Retail and consumer goods industries utilize digital twins for supply chain visibility, virtual inventory management, and customer experience enhancement.
Regional Insights
In the Americas region, the U.S. and Canada represent crucial nations for the digital twin industry due to the presence of a robust technology infrastructure, key players, and constant technological innovations and product launches. Additionally, government initiatives to advance sectors such as manufacturing, healthcare, aerospace, and automotive through the adoption of advanced technologies such as digital twin has boosted adoption. The EU's focus on digital twin is largely geared toward achieving standards and interoperability across member states, with increased investments in smart manufacturing and Industry 4.0 initiatives. Additionally, several EU regulations, standards, and initiatives to achieve sustainability in the manufacturing sector have led to significant investments in digital twin technologies. As a burgeoning economy with an expanding manufacturing and IT hub, India is rapidly adopting digital twin technologies, particularly in areas of smart cities and infrastructure development, backed by government initiatives such as Digital India. Japan focuses on leveraging digital twin for its established automotive and electronics industries, aiming to enhance efficiency and product quality. The emergence of technology startups in the region creates new opportunities for the expansion of digital twin.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Digital Twin Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Digital Twin Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Digital Twin Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Altair Engineering Inc., Amazon Web Services, Inc., Ansys, Inc., Bentley Systems, Incorporated, Cisco Systems, Inc., Dassault Systemes SE, dSPACE GmbH, Emerson Electric Co., General Electric Company, Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, Honeywell International Inc., Huawei Technologies Co., Ltd., Intel Corporation, International Business Machines Corporation, Lenovo Group Limited, Matterport, Inc., Microsoft Corporation, NTT DATA Corporation, NVIDIA Corporation, Oracle Corporation, PTC Inc., QiO Technologies, Robert Bosch GmbH, Salesforce, Inc., SAP SE, Schneider Electric SE, Siemens AG, and Wipro Limited.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Digital Twin Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Digital Twin Market?
3. What are the technology trends and regulatory frameworks in the Digital Twin Market?
4. What is the market share of the leading vendors in the Digital Twin Market?
5. Which modes and strategic moves are suitable for entering the Digital Twin Market?
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