市場調查報告書
商品編碼
1519386
2024-2032 年按組件、技術、部署類型、組織規模、垂直產業和地區分類的預測維護市場報告Predictive Maintenance Market Report by Component, Technique, Deployment Type, Organization Size, Industry Vertical, and Region 2024-2032 |
IMARC Group年全球預測性維護市場規模達103億美元。機器對機器(M2M)通訊的使用不斷增加,為延長各種老化工業機械的使用壽命而增加的投資,以及與遠端監控的整合不斷增加以進行高級檢查,這些都是推動市場發展的一些關鍵因素。
預測性維護是指依靠狀態監測工具和系統來監測設備在運作過程中的性能的技術。它包括物聯網(IoT)、人工智慧(AI)和整合系統,用於連接不同的資產和系統並共享和分析關鍵資料。它還包括預測維護感測器、工業控制和業務系統,例如企業資產管理 (EAM) 和企業資源規劃 (ERP) 軟體。它透過利用狀態監控設備來檢查和評估資產的性能來發揮作用。它記錄了廣泛的資料,例如溫度、振動和電導率,使工程師能夠預測設備或資產的故障,同時允許提前更換或維修它們。它有助於降低維護成本、延長設備的保存期限並提高生產率。此外,由於預測性維護提供了安全合規性和先發制人的糾正措施,因此世界各地的需求正在增加。
目前,由於各種工業資產營運的自動化程度不斷提高,對預測性維護的需求不斷成長,這是對市場產生積極影響的主要因素之一。除此之外,擴大利用機器對機器(M2M)通訊和雲端技術來調查來自工業和商業資產的各種資訊,這提供了良好的市場前景。此外,技術人員擴大採用預測性維護,透過採取適當的步驟來規劃和準備維修。再加上擴大採用預測性維護來防止生產週期中斷和意外停機的發生,正在推動市場的成長。除此之外,企業擴大利用預測性維護來產生實際的投資回報 (ROI)。再加上為延長各種老化工業機械的使用壽命而增加的投資,正在促進市場的成長。此外,預測性維護與遠端監控的持續整合,以進行高級檢查並預測組件和設備故障,正在支援市場成長。此外,醫療保健領域也擴大採用預測性維護來提高醫療保健基礎設施的可靠性,這也促進了市場的成長。
The global predictive maintenance market size reached US$ 10.3 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 72.3 Billion by 2032, exhibiting a growth rate (CAGR) of 23.8% during 2024-2032. 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 2024-2032. 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.