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市场调查报告书
商品编码
1687455
状态监测设备:市场占有率分析、产业趋势与统计资料、成长预测(2025-2030 年)Condition Monitoring Equipment - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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预计预测期内状态监测设备市场复合年增长率将达到 6.66%。
市场的成长是由智慧工厂的增加和可再生能源的使用日益增长所推动的。此外,振动监测系统由于支援提高生产力、透过更先进的分析减少停机时间以及减少人工检查和计划外纠正等人为干预活动而受到青睐。
任何企业的主要目标之一是延长其资产的生命週期并确保其长期有效运作。这可以透过状态监测来实现。对于机械来说,维护保养极为重要。由于许多公司都专注于提高资产利用率和生产力,因此机器状态监测是维护的重要组成部分。
由于运作设备对多种类型的错误和故障做出反应,因此透过测量振动、温度、电压、电流、压力和流量等参数来监测设备的细微和重大变化非常重要。由于其重要性,各个行业都在采取特别的措施来保护他们的机器。使用状态监测进行故障识别的主要好处包括提高人员安全性,因为它使负责人能够采取补救措施来避免或减少维修成本并提高机器安全性。
工业 4.0 的出现,加上 5G 和 3D 列印技术,预计也将增加透过低延迟讯号连接到物联网设备的机器监控产品的需求。工业 4.0 依靠自动化、机器学习和即时资料处理来实现製造工厂流程的自动化。这导致更多地使用自动化、资料分析和工业IoT等自动化製造技术来提高营运效率。
此外,工业 4.0 中预测性维护的引入为许多行业带来了巨大的前景。监控机器资料以检测和计划维修并减少停机时间是机器状态监控过程的一部分。这些进步使得分析设备性能和预测故障情况成为可能。因此,对机器状态监测认识的提高有望开闢新的商业前景。
自动化系统的高成本与有效且强大的硬体和高效的软体有关。自动化设备需要高额的资本投入来投资智慧工厂(安装、设计和建造自动化系统可能要花费数百万美元)。
此外,自动化机器比手动系统需要更多的维护(即使是灵活的自动化也比不上用途最广泛的机器:人类)。此外,工业IoT技术应用缓慢可能与维护 M2M 连接的高成本有关,因为它们与蜂窝订阅一样受到类似的重课税。这些因素也阻碍了调查市场的成长。
在新冠疫情过后,多家公司正在探索不同的产品以抢占市场占有率。例如,NSK株式会社将于2021年4月开始销售与製造用开放式软体平台「FANUC Intelligent Edge Link & Drive系统(FIELD系统)」相容的状态监控与诊断程式「ACOUS NAVI(FIELD系统)」。 ACOUS NAVI 是用于监控机械部件运作并检测或预测损坏或劣化指标的综合解决方案。
状态监测设备市场集中度适中且不断成长,主要企业包括罗克韦尔自动化、艾默生电气、美捷特、通用电气和斯凯孚等。市场参与者正在采取联盟和收购等策略来加强其产品供应并获得永续的竞争优势。
2022 年 8 月,珀金埃尔默宣布已与 New Mountain Capital 达成协议,出售其分析和企业解决方案业务。
2022年7月,通用电气公司宣布计划成为三家独立的上市公司,专注于医疗保健、能源和航空。 GE的医疗保健业务将被称为GE医疗集团。 GE现有的能源组合,包括可再生能源、电力、数位和能源金融服务,将合併到GE Burnova品牌下。 GE Aerospace 将成为 GE 航空业务的名称。
2022 年 5 月,SKF 发布了 SKF Axios。该解决方案基于 SKF 和亚马逊网路服务之间的合作,旨在重塑工业机械的可靠性和预测性维护。此外,SKF 将在 2022 年汉诺威工业博览会的 AWS 展位上展出 SKF Axios。
The Condition Monitoring Equipment Market is expected to register a CAGR of 6.66% during the forecast period.
The market growth is driven by an increasing number of smart factories and growing usage of renewable energy. Further, vibration monitoring systems are gaining momentum owing to their support in enhancing production, reducing downtime due to greater analytics, and reducing human-mediated activities like manual inspections and unplanned corrections.
One of the primary goals for any business is to prolong an asset's lifecycle and ensure that the asset functions efficiently for a long period. This can be accomplished using condition monitoring. Maintenance is crucial to machines. Machine condition monitoring is an important part of maintenance, and thus, many companies have been focusing more on asset utilization and increasing productivity.
As operational equipment is responsive to many types of errors and faults, it is important to monitor minor/major changes in equipment by measuring parameters like vibration, temperature, voltage, current, pressure, flow, and several others. This significance has pushed various verticals to make extra efforts to protect their machinery. The main benefit of fault identification using condition monitoring includes allowing personnel to take remedial action to avoid or reduce repair costs and increase machinery safety, thus increasing human safety.
The advent of Industry 4.0 coupled with 5G and 3D printing technology is also expected to increase the demand for machine monitoring products connected to IoT devices through low latency signals. Industry 4.0 relies on automation, machine learning, and real-time data processing to automate manufacturing plant processes. This has expanded the use of automated manufacturing technologies such as automation, data analytics, and industrial IoT to improve operational efficiencies.
Furthermore, implementing predictive maintenance in Industry 4.0 offers substantial prospects for numerous industries. Monitoring machine data to detect and plan repairs and reduce downtime is part of the machine condition monitoring process. Such progress enables the analysis of equipment performance and the prediction of breakdown scenarios. As a result, rising awareness of machine status monitoring is projected to open up new business prospects.
The high costs of automated systems are concerned with effective and robust hardware and efficient software. Automation equipment requires high capital investment to invest in the smart factory (an automated system can cost millions of dollars to install, design, and fabricate).
Also, the need for the maintenance of automated machines is more than a manual system (even flexible automation is less flexible than humans, the most versatile machines of all). Further, the sluggish adoption of Industrial IoT technologies can be linked to the higher costs of maintaining their connections, considering that M2M connections were charged with heavy taxation, similar to mobile device subscriptions. Such factors are also linked to the factors hindering the growth of the studied market.
In the post-COVID-19 pandemic scenario, several firms are developing various products to capture the market share. For instance, in April 2021, ACOUS NAVI (FIELD System), a condition monitoring and diagnostic program compatible with FANUC Intelligent Edge Link & Drive system (FIELD system), an open software platform for the manufacturing industry, was to be sold by NSK Ltd. ACOUS NAVI is a comprehensive solution for monitoring the operation of machine components and detecting or predicting indicators of damage or deterioration.
The condition monitoring equipment Market is moderately concentrated and growing with the presence of major players like Rockwell Automation Inc., Emerson Electric Co., Meggitt PLC, General Electric Company, and SKF. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.
In August 2022, Perkin Elmer announced that it entered an agreement with New Mountain Capital to divest its Analytical and Enterprise Solutions businesses, which, upon completion, was to result in the creation of excellent opportunities for growth and strategic advancement.
In July 2022, General Electric Company announced plans to become three independent and publicly traded businesses focusing on healthcare, energy, and aviation, where new names also reflect a new beginning. GE's healthcare business will be called GE HealthCare. GE's existing portfolio of energy businesses, including Renewable Energy, Power, Digital, and Energy Financial Services, will sit together under the brand name GE Vernova. GE Aerospace will be the name of GE's aviation business.
In May 2022, SKF launched SKF Axios. This solution reinvented industrial machine reliability and predictive maintenance based on a collaboration between SKF and Amazon Web Services Inc. In addition, SKF was to display SKF Axios at the AWS booth at Hannover Messe 2022.