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Global Predictive Maintenance Market Size

Global Predictive Maintenance Market size was valued at USD 4.4 billion in 2021 and is poised to grow from USD 5.77 billion in 2022 to USD 38.63 billion by 2030, at a CAGR of 31.2% during the forecast period (2023-2030).

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Global Predictive Maintenance Market Size

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  1. Global Predictive Maintenance Market Size, Share, Growth Analysis, By Components By Development Mode Industry Forecast 2023-2030 Global Predictive Maintenance Market size was valued at USD 4.4 billion in 2021 and is poised to grow from USD 5.77 billion in 2022 to USD 38.63 billion by 2030, at a CAGR of 31.2% during the forecast period (2023- 2030). By providing insights into the working condition of equipment and machines, predictive maintenance helps maximize uptime and increase efficiency for business owners. Through maintenance alerts, predictive maintenance tools can help prevent costly operational interruptions and equipment failures. Predictive maintenance has always been a crucial factor in improving productivity in factories. Its adoption is rapidly increasing among both large enterprises and SMEs due to various benefits such as reduced downtime, extended equipment life, improved plant safety, optimized maintenance schedules, reduced maintenance costs, and improved yield rates. Through analysis of data by encryption software and electronics, maintenance needs can be identified at the

  2. right time to prevent machinery breakdown. Breakdowns result in longer and more expensive repairs, as well as production stoppages. In the US, manufacturing units spend over USD 50 billion annually on maintenance and repair, according to a study. However, another study suggests that the implementation of predictive maintenance can reduce maintenance costs by approximately 20% and increase production capacity by around 10%. As organizations are always looking to improve process efficiency, predictive maintenance can be a valuable tool in achieving this goal.

  3. Global Predictive Maintenance Market Segmental Analysis Global Predictive Maintenance Market is segmented on the basis of component, development mode, organization size and region. By component, the market is segmented into solution and services. By development mode, the market is segmented into on- premises and cloud. By organization size, the market is segmented into large enterprises and small & medium sized enterprises. By techniques analysis, the market is segmented into power system assessments, infrared thermography, temperature monitor, fluid analysis, circuit monitor analysis, and vibration monitoring. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America. View-More https://www.skyquestt.com/report/predictive- maintenance-market

  4. Predictive Maintenance Market Top Player’s Company Profiles •IBM Corporation (USA) •SAP SE (Germany) •General Electric (USA) •Schneider Electric (France) •Hitachi, Ltd. (Japan) •PTC, Inc. (USA) •Software AG (Germany) •SAS Institute, Inc. (USA) •C3.ai, Inc. (USA) •Uptake Technologies Inc. (USA) •Microsoft Corporation (USA) •ABB Ltd. (Switzerland) •Rockwell Automation, Inc. (USA) •Siemens AG (Germany) •Emerson Electric Co. (USA) •Oracle Corporation (USA) •Bosch Software Innovations GmbH (Germany) •Senseye Ltd. (UK) •Fluke Corporation (USA) •SKF AB (Sweden) •Honeywell International Inc. (USA)

  5. •Infor, Inc. (USA) About Us: SkyQuest Technology is leading growth consulting firm providing market intelligence, commercialization and technology services. It has 450+ happy clients globally. Address: 1 Apache Way, Westford, Massachusetts 01886 Phone: USA (+1) 617-230-0741 Email: sales@skyquestt.com LinkedIn Facebook Twitter

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