Modern businesses are in a time of unprecedented change and competition. The Amazon Effect has led to a rapid rise in consumer demands for control, personalization, and speed. A shifting trade and political climate has left many companies struggling to maintain affordable supply and manufacturing relationships. And as more and more businesses undergo digital transformation, competition is rising and the margin for error is increasingly slim. As a result, today’s business leaders are looking to gain a competitive edge through smart solutions, solutions mainly include reactive, preventive, and predictive maintenance, which predict when asset maintenance is needed, help increase cost efficiency, and streamline their often complex enterprise asset management requirements.
According to the new market research report “Global Predictive Maintenance In Manufacturing Market Report 2023-2029”, published by QYResearch, the global Predictive Maintenance In Manufacturing market size is projected to reach USD 20.81 billion by 2029, at a CAGR of 21.8% during the forecast period.
- Global Predictive Maintenance In Manufacturing MarketSize(US$ Million), 2018-2029
Above data is based on report from QYResearch: Global Predictive Maintenance In Manufacturing Market Report 2023-2029 (published in 2023). If you need the latest data, plaese contact QYResearch..
- Global Predictive Maintenance In Manufacturing Top29Players Ranking and Market Share (Ranking is based on the revenue of 2022, continually updated)
Above data is based on report from QYResearch: Global Predictive Maintenance In Manufacturing Market Report 2023-2029 (published in 2023). If you need the latest data, plaese contact QYResearch.
The global key manufacturers of Predictive Maintenance In Manufacturing include SAP, Schneider, Siemens, IBM, Rockwell Automation, GE Digital, Microsoft, Hitachi, Intel, ABB, etc. In 2022, the global top 10 players had a share approximately 40.0% in terms of revenue.
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