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全球虚拟感测器市场:市场规模、占有率、成长分析、按类型、按应用划分 - 产业预测,2023-2030 年Global Virtual Sensors Market Size, Share, Growth Analysis, By Type(Hardware and software), By Application(Predictive Maintenance, Performance Monitoring) - Industry Forecast 2023-2030 |
2021年,全球虚拟感测器市场规模为4亿美元,从2022年的5亿美元成长到2030年的48亿美元,预测期间(2023-2030年)复合年增长率为32.6%。
由于物联网云端平台的普及和製造业需求的不断增长,全球虚拟感测器市场预计将显着增长。这种增长是由于组织对虚拟感测器(也称为软感测器)的优势和成本效益的认识不断提高而推动的。这些基于软体的解决方案利用从物理感测器测量得出的数学模型来克服与有形感测器相关的限制。虚拟感测器可以根据温度、压力、速度和位置等多个参数来预测结果。作为实体感测器的经济高效替代方案,虚拟感测解决方案在通讯、技术、航空、汽车和媒体等各个领域都有很高的需求。虚拟感测解决方案可以提高业务效率、降低成本,并为组织提供更大的敏捷性和扩充性。行业领导者正在积极致力于将虚拟感测解决方案开发为标准模型,从而导致标准化的兴起成为主要趋势。这种标准化促进了感测资料的表征以及基于结构的模型的创建,以实现感测器网路之间的无缝资料修改。然而,在云端感测器网路上部署虚拟感测器引起了人们对资料安全的担忧,阻碍了普及。对此,厂商正在积极开发安全云端解决方案来解决隐私问题,目前市场上已经出现了基于订阅的私有云端平台,以确保资料安全和隐私。
全球虚拟感测器市场按类型、应用和地区细分。根据类型,市场分为硬体和软体。依应用分为预测性维护、效能监控和最佳化/控制。依地区划分,分为北美、欧洲、亚太地区、中东/非洲、拉丁美洲。
推动全球虚拟感测器市场成长的主要因素是对具有成本效益的解决方案的需求不断增长以及业务效率的提高。虚拟感测器为组织提供了实体感测器的可行替代方案,减少了营运支出,同时提高了效率。透过利用从实体感测器的多个输出读数导出的数学模型,虚拟感测器可以准确预测各种参数的结果。虚拟感测器提供的成本效益和营运效率已成为各行业市场扩张的重要催化剂。
虚拟感测器在全球市场广泛普及的一个显着抑制因素是对资料安全和隐私的担忧。在云端感测器网路中部署虚拟感测器引起了人们对敏感资料脆弱性的担忧。由于存在与资料外洩和诈欺的存取相关的潜在风险,组织对于全面采用虚拟感测器犹豫不决。然而,供应商正在透过开发安全云解决方案和引入基于订阅的私有云端平台来积极解决这些问题。这些配合措施旨在解决资料隐私问题并确保组织保护虚拟感测器部署中的敏感资讯。
全球虚拟感测器市场的一个主要趋势是对标准化的日益关注。透过实现感测资料的表征和感测器部署标准化模型的开发,标准化正在成为一个突出趋势。这有利于感测器网路之间的无缝资料变更并促进互通性。标准化配合措施将简化虚拟感测器的集成,并确保不同系统和设备之间的兼容性。建立通用框架将提高虚拟感测解决方案的整体效率和有效性,并促进普及。
Global Virtual Sensors Market size was valued at USD 0.4 billion in 2021 and is poised to grow from USD 0.5 billion in 2022 to USD 4.80 billion by 2030, growing at a CAGR of 32.6% during the forecast period (2023-2030).
The global virtual sensors market is poised for significant growth, driven by the increasing uptake of IoT cloud platforms and a rising demand within the manufacturing sector. This growth is fueled by heightened awareness among organizations regarding the benefits and cost-effectiveness of virtual sensors, also referred to as soft sensors. These software-based solutions leverage mathematical models derived from physical sensor readings to overcome limitations associated with their tangible counterparts. Virtual sensors can predict outcomes based on multiple parameters, such as temperature, pressure, speed, and position. Positioned as a cost-effective alternative to physical sensors, virtual sensing solutions are witnessing high demand across diverse sectors, including telecommunications, technology, aviation, automobile, and media. They contribute to enhanced operational efficiency, cost reduction, and provide organizations with improved agility and scalability. Industry leaders are actively engaged in developing virtual sensing solutions as standard models, leading to the emergence of standardization as a major trend. This standardization facilitates the characterization of sensed data and the creation of structure-based models for seamless data modification between sensor networks. However, concerns about data security arise with the deployment of virtual sensors on cloud sensor networks, impeding widespread adoption. In response, vendors are proactively developing secure cloud solutions to address privacy concerns, with subscription-based private cloud platforms available in the market to ensure data security and privacy.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Virtual sensors Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Virtual Sensors Market is segmented by type, application, and region. Based on type, the market can be segmented into hardware and software. Based on application, the market is segmented into predictive maintenance, performance monitoring, and optimization and control. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
A key driver fueling the global virtual sensors market's growth is the escalating demand for cost-effective solutions and enhanced operational efficiency. Virtual sensors present organizations with a viable alternative to physical sensors, reducing operational expenses while concurrently boosting efficiency. Leveraging mathematical models derived from multiple output readings of physical sensors, virtual sensors can accurately predict outcomes across diverse parameters. The cost-effectiveness and operational efficiency offered by virtual sensors make them a prominent catalyst for market expansion across various industries.
A notable restraint impeding the widespread adoption of virtual sensors in the global market is the concern surrounding data security and privacy. The deployment of virtual sensors on cloud sensor networks raises apprehensions about the vulnerability of sensitive data. Organizations exhibit hesitancy in fully embracing virtual sensors due to potential risks associated with data breaches and unauthorized access. However, vendors are actively working to counter these concerns by developing secure cloud solutions and introducing subscription-based private cloud platforms. These efforts aim to address worries related to data privacy, assuring organizations of the protection of sensitive information in virtual sensor deployments.
A significant trend observed in the global virtual sensors market is the increasing focus on standardization. Standardization emerges as a prominent trend by allowing the characterization of sensed data and the formulation of standardized models for sensor deployment. This facilitates seamless data modification between sensor networks, fostering interoperability. Standardization efforts streamline the integration of virtual sensors, ensuring compatibility across diverse systems and devices. Establishing a common framework enhances the overall efficiency and effectiveness of virtual sensing solutions, promoting their widespread adoption across various industries.