市场调查报告书
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1298825
预测性维护市场:2023-2028年全球行业趋势、份额、规模、增长、机会及预测Predictive Maintenance Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028 |
2022年,全球预测性维护市场规模达到80亿美元。展望未来,IMARC集团预计到2028年,全球预测性维护市场规模将达到359亿美元,2023-2028年间的年复合增长率(CAGR)将达到27.54%。机器对机器(M2M)通信的利用率不断提高,对延长各种老化工业机械使用寿命的投资不断增加,与远程监控的集成度不断提高以进行高级检测,这些都是推动市场发展的关键因素。
预测性维护是指依靠状态监测工具和系统监控设备运行性能的技术。它包括物联网(IoT)、人工智能(AI)和集成系统,以连接不同的资产和系统,共享和分析关键数据。它还包括预测性维护传感器、工业控制和业务系统,如企业资产管理(EAM)和企业资源规划(ERP)软件。它通过使用状态监测设备来检查和评估资产的性能。它记录了广泛的数据,如温度、振动和电导率,使工程师能够预测设备或资产的故障,并提前进行更换或维修。它有助于降低维护成本、延长设备的保质期并提高生产率。此外,由于预测性维护符合安全标准并可采取先发制人的纠正措施,因此其在全球范围内的需求正在不断增长。
目前,由于各种工业资产操作的自动化程度不断提高,对预测性维护的需求不断增加,这是积极影响市场的主要因素之一。此外,机器对机器(M2M)通信和云技术在调查来自工业和商业资产的大量信息方面的应用日益广泛,为市场提供了有利的前景。此外,技术人员越来越多地采用预测性维护,通过采取适当措施为维修做好计划和准备。这一点,以及越来越多地采用预测性维护来防止生产周期中断和意外停机的发生,推动了市场的增长。除此之外,企业利用预测性维护来产生有形投资回报(ROI)的情况也在增加。这一点,再加上对延长各种老化工业机械使用寿命的投资不断增加,促进了市场的增长。此外,预测性维护与远程监控的集成度不断提高,可进行高级检查并预测部件和设备故障,这也为市场增长提供了支持。此外,为提高医疗基础设施的可靠性,预测性维护在医疗保健领域的应用不断增加,这也促进了市场的增长。
The global predictive maintenance market size reached US$ 8.0 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 35.9 Billion by 2028, exhibiting a growth rate (CAGR) of 27.54% during 2023-2028. The growing utilization of machine-to-machine (M2M) communication, increasing investment in extending the lifespan of various aging industrial machinery, and rising integration with remote monitoring to conduct advanced inspections represent some of the key factors driving the market.
Predictive maintenance refers to the technique that relies on condition-monitoring tools and systems to monitor the performance of equipment during operation. It comprises the internet of things (IoT), artificial intelligence (AI), and integrated systems to connect different assets and systems and share and analyze crucial data. It also consists of predictive maintenance sensors, industrial controls, and business systems, such as enterprise asset management (EAM) and enterprise resource planning (ERP) software. It functions by utilizing condition monitoring equipment to examine and evaluate the performance of assets. It records a wide range of data, such as temperature, vibrations, and conductivity, which enables an engineer to predict the failure of equipment or assets while allowing them to be replaced or repaired in advance. It helps reduce maintenance costs, increase the shelf life of equipment, and improve productivity. Furthermore, as predictive maintenance provides safety compliance and preemptive corrective actions, its demand is increasing around the world
At present, the rising demand for predictive maintenance due to the increasing automation of operations of various industrial assets represents one of the primary factors influencing the market positively. Besides this, the growing utilization of machine-to-machine (M2M) communication and cloud technology to investigate a wide array of information derived from industrial and business assets is offering a favorable market outlook. Additionally, there is an increase in the adoption of predictive maintenance by technicians to plan and prepare for a repair by taking appropriate steps. This, along with the rising employment of predictive maintenance to prevent the disruption of production cycles and the occurrence of unplanned downtime, is propelling the growth of the market. Apart from this, there is a rise in the utilization of predictive maintenance by businesses to generate a tangible return on investment (ROI). This, coupled with the increasing investment in extending the lifespan of various aging industrial machinery, is contributing to the growth of the market. In addition, the rising integration of predictive maintenance with remote monitoring to conduct advanced inspections and predict component and equipment failures is supporting the market growth. Moreover, the increasing employment of predictive maintenance in the healthcare sector to improve the reliability of healthcare infrastructure is bolstering the market growth.
IMARC Group provides an analysis of the key trends in each sub-segment of the global predictive maintenance market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on component, technique, deployment type, organization size and industry vertical.
Solution
Service
The report has provided a detailed breakup and analysis of the predictive maintenance market based on the component. This includes solution and service. According to the report, solution represented the largest segment.
Vibration Monitoring
Electrical Testing
Oil Analysis
Ultrasonic Leak Detectors
Shock Pulse
Infrared
Others
A detailed breakup and analysis of the predictive maintenance market based on the technique has also been provided in the report. This includes vibration monitoring, electrical testing, oil analysis, ultrasonic leak detectors, shock pulse, infrared, and others. According to the report, vibration monitoring accounted for the largest market share.
Cloud-based
On-premises
A detailed breakup and analysis of the predictive maintenance market based on the deployment type has also been provided in the report. This includes cloud-based and on-premises. According to the report, on-premises accounted for the largest market share.
Small and Medium-sized Enterprises
Large Enterprises
A detailed breakup and analysis of the predictive maintenance market based on the organization size has also been provided in the report. This includes small and medium-sized enterprises and large enterprises. According to the report, large enterprises accounted for the largest market share.
Manufacturing
Energy and Utilities
Aerospace and Defense
Transportation and Logistics
Government
Healthcare
Others
A detailed breakup and analysis of the predictive maintenance market based on the industry vertical has also been provided in the report. This includes manufacturing, energy and utilities, aerospace and defense, transportation and logistics, government, healthcare, and others. According to the report, manufacturing accounted for the largest market share.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (the United Kingdom, Germany, France, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America (the United States and Canada) was the largest market for predictive maintenance. Some of the factors driving the North America predictive maintenance market included the growing demand for remote monitoring facilities, rising technological advancements in business automation processes, increasing number of solution and service vendors, etc.
The report has also provided a comprehensive analysis of the competitive landscape in the global predictive maintenance market. Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. Some of the companies covered include Asystom, C3.ai Inc., General Electric Company, Google LLC (Alphabet Inc.), Hitachi Ltd., International Business Machines Corporation, Microsoft Corporation, PTC Inc., SAP SE, Software AG, Tibco Software Inc., Uptake Technologies Inc., etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.
Key Questions Answered in This Report
1. What was the size of the global predictive maintenance market in 2022?
2. What is the expected growth rate of the global predictive maintenance market during 2023-2028?
3. What are the key factors driving the global predictive maintenance market?
4. What has been the impact of COVID-19 on the global predictive maintenance market?
5. What is the breakup of the global predictive maintenance market based on the component?
6. What is the breakup of the global predictive maintenance market based on the technique?
7. What is the breakup of the global predictive maintenance market based on deployment type?
8. What is the breakup of the global predictive maintenance market based on the organization size?
9. What is the breakup of the global predictive maintenance market based on the industry vertical?
10. What are the key regions in the global predictive maintenance market?
11. Who are the key players/companies in the global predictive maintenance market?