市場調查報告書
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1396195
全球虛擬感測器市場:市場規模、佔有率、成長分析、依類型、應用分類 - 產業預測,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,全球虛擬感測器市場規模為4億美元,從2022年的5億美元成長到2030年的48億美元,預測期間(2023-2030年)複合年成長率為32.6%。
由於物聯網雲端平台的普及和製造業需求的不斷成長,全球虛擬感測器市場預計將顯著成長。這種成長是由於組織對虛擬感測器(也稱為軟感測器)的優勢和成本效益的認知不斷提高而推動的。這些基於軟體的解決方案利用從物理感測器測量得出的數學模型來克服與有形感測器相關的限制。虛擬感測器可以根據溫度、壓力、速度和位置等多個參數來預測結果。作為實體感測器的經濟高效替代方案,虛擬感測解決方案在通訊、技術、航空、汽車和媒體等各個領域都有很高的需求。虛擬感測解決方案可以提高業務效率、降低成本,並為組織提供更大的敏捷性和擴充性。行業領導者正在積極致力於將虛擬感測解決方案開發為標準模型,從而促使標準化的興起成為主要趨勢。這種標準化促進了感測資料的表徵以及基於結構的模型的創建,以實現感測器網路之間的無縫資料修改。然而,在雲端感測器網路上部署虛擬感測器引起了人們對資料安全的擔憂,阻礙了普及。對此,廠商正在積極開發安全雲端解決方案來解決隱私問題,目前市場上已經出現了基於訂閱的私有雲端平台,以確保資料安全和隱私。
全球虛擬感測器市場依類型、應用和地區區隔。根據類型,市場分為硬體和軟體。依應用分為預測性維護、效能監控和最佳化/控制。依地區分類,分為北美、歐洲、亞太地區、中東/非洲、拉丁美洲。
推動全球虛擬感測器市場成長的主要因素是對具有成本效益的解決方案的需求不斷成長以及業務效率的提高。虛擬感測器為組織提供了實體感測器的可行替代方案,減少了營運支出,同時提高了效率。透過利用從實體感測器的多個輸出讀數導出的數學模型,虛擬感測器可以準確預測各種參數的結果。虛擬感測器提供的成本效益和營運效率已成為各行業市場擴張的重要催化劑。
虛擬感測器在全球市場廣泛普及的一個顯著抑制因素是對資料安全和隱私的擔憂。在雲端感測器網路中部署虛擬感測器引起了人們對敏感資料脆弱性的擔憂。由於存在與資料外洩和詐欺的存取相關的潛在風險,組織對於全面採用虛擬感測器猶豫不決。然而,供應商正在透過開發安全雲解決方案和引入基於訂閱的私有雲端平台來積極解決這些問題。這些配合措施旨在解決資料隱私問題並確保組織保護虛擬感測器部署中的敏感資訊。
全球虛擬感測器市場的一個主要趨勢是對標準化的日益關注。透過實現感測資料的表徵和感測器部署標準化模型的開發,標準化正在成為一個突出趨勢。這有利於感測器網路之間的無縫資料變更並促進互通性。標準化配合措施將簡化虛擬感測器的整合,並確保不同系統和設備之間的兼容性。建立通用框架將提高虛擬感測解決方案的整體效率和有效性,並促進普及。
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.