市场调查报告书
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全球预测维护市场规模、份额和成长分析:按组件和部署模式 - 产业预测(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年全球预测性维护市场规模为57.7亿美元,从2023年的75.7亿美元成长到2031年的66.4亿美元,预测期(2024-2031年)复合年增长率为31.2%,预计将成长至6 千万美元。
技术和工业维护的交叉点是一个快速发展的行业,被称为全球预测维护市场。利用机器学习、进阶资料分析和物联网 (IoT) 技术来预测机器和装置何时会发生故障。预测性维护透过评估历史趋势和即时资料,帮助企业预测维护需求并最大限度地减少停机时间和营运费用。市场成长是由多种原因推动的。随着越来越多的行业依赖精密设备,减少停机时间对于保持效率和降低成本至关重要。将物联网设备整合到工业设备中有助于即时资料收集和分析。大量资料的可用性和资料分析的进步使得预测性维护变得更加容易和有效。
IBM、微软、SAP 和通用电气是这一领域的重要参与者。这些公司提供全面的解决方案,帮助企业了解其资产状况并预测何时需要维修。随着製造、能源和运输等更多经济部门认识到降低成本、提高可靠性和提高整体业务效率的潜在好处,预测性维护将在全球范围内继续增长。据预测
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.