市場調查報告書
商品編碼
1458053
全球預測維護市場規模、佔有率和成長分析:按組件和部署模式 - 產業預測(2024-2031)Global Predictive Maintenance Market Size, Share, Growth Analysis, By Components(Solution and Services), By Deployment Mode(On-Premises and Cloud) - Industry Forecast 2024-2031 |
2022年全球預測性維護市場規模為57.7億美元,從2023年的75.7億美元成長到2031年的664.6億美元,預測期(2024-2031年)複合年成長率為31.2%。
技術和工業維護的交叉點是一個快速發展的行業,被稱為全球預測維護市場。利用機器學習、進階資料分析和物聯網 (IoT) 技術來預測機器和裝置何時會發生故障。預測性維護透過評估歷史趨勢和即時資料,幫助企業預測維護需求並最大限度地減少停機時間和營運費用。市場成長是由多種原因推動的。隨著越來越多的行業依賴精密設備,減少停機時間對於保持效率和降低成本至關重要。將物聯網設備整合到工業設備中有助於即時資料收集和分析。大量資料的可用性和資料分析的進步使得預測性維護變得更加容易和有效。
IBM、微軟、SAP 和通用電氣是這一領域的重要參與者。這些公司提供全面的解決方案,幫助企業了解其資產狀況並預測何時需要維修。隨著製造、能源和運輸等更多經濟部門認知到降低成本、提高可靠性和提高整體業務效率的潛在好處,預測性維護將在全球範圍內繼續成長。
Global Predictive Maintenance Market size was valued at USD 5.77 billion in 2022 and is poised to grow from USD 7.57 billion in 2023 to USD 66.46 billion by 2031, at a CAGR of 31.2% during the forecast period (2024-2031).
At the nexus of technology and industrial maintenance lies a quickly developing industry known as the global predictive maintenance market. It makes predictions about when machinery or equipment may break down by utilizing machine learning, advanced data analytics, and IoT (Internet of Things) technology. Predictive maintenance helps businesses to anticipate maintenance needs, minimizing downtime and operating expenses by evaluating past trends and real-time data. The market's growth is driven by multiple reasons. Because more and more sectors depend on sophisticated gear, maintaining efficiency and cutting costs require reducing downtime. The integration of IoT devices into industrial equipment promotes real-time data collecting and analysis. The availability of vast volumes of data and advances in data analytics have made predictive maintenance more accessible and effective.
In this sector, IBM, Microsoft, SAP, and General Electric are important participants. They provide all-inclusive solutions that let companies keep an eye on the state of their assets and forecast when repair is required. Predictive maintenance is predicted to continue growing globally as more and more sectors of the economy, including manufacturing, energy, and transportation, realize the potential advantages of lower costs, increased dependability, and better overall operational efficiency.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Predictive Maintenance 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 Predictive Maintenance Market Segmental Analysis
Predictive Maintenance Worldwide The market is divided into segments according to geography, organization size, development mode, and component. The market is divided into solution and services segments based on component. The market is divided into on-premises and cloud segments based on development mode. The market is divided into major firms and small and medium-sized enterprises based on the size of their organizations. Power system evaluations, infrared thermography, temperature monitoring, fluid analysis, circuit monitor analysis, and vibration monitoring are the market segments based on technique analysis. The market is divided into Latin America, Middle East and Africa, Asia Pacific, North America, and Europe.
Drivers of the Global Predictive Maintenance Market
Predictive maintenance is becoming more popular as a result of the movement in maintenance procedures toward automation and digitalization. This is because predictive maintenance allows businesses to automate equipment monitoring and minimize the need for manual inspections.
Restraints in the Global Predictive Maintenance Market
Notwithstanding the possible advantages of predictive maintenance, several firms can be reluctant to adapt and would rather stick with their established maintenance procedures. This opposition may hinder the uptake of predictive maintenance programs and impede the industry's expansion.
Market Trends of the Global Predictive Maintenance Market
An important trend in the market is the growing uptake of 5G technology in a variety of sectors. Fifth-generation (5G) wireless technology provides much higher data transfer rates, reduced latency, and enhanced network dependability. Technology that is revolutionary for the Internet of Things, augmented reality, and driverless cars. 5G is being used by the manufacturing, entertainment, and healthcare sectors to improve operations, offer remote services, and facilitate real-time data processing. As companies and consumers look to leverage this high-speed, low-latency connectivity for a variety of applications, the global 5G market is expected to grow significantly and eventually shape the future of the digital world.