Predictive Maintenance Solution market

Predictive Maintenance Solution Market, Global Outlook and Forecast 2022-2028

  • 24 September 2022
  • ICT & Media
  • 110 Pages
  • Report code : PMR-7380106

  • 4.7 (158)

Predictive Maintenance Solution Market

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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.
Predictive Maintenance Solution Market contains market size and forecasts of Predictive Maintenance Solution in Global, including the following market information:

  • Global Predictive Maintenance Solution Market Revenue, 2017-2022, 2023-2028, ($ millions)
Global top five companies in 2021 (%)
The global Predictive Maintenance Solution market was valued at 4883.4 million in 2021 and is projected to reach US$ 14540 million by 2028, at a CAGR of 16.9% during the forecast period 2022-2028.
The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.
Cloud Based Segment to Reach $ Million by 2028, with a % CAGR in next six years.
The global key manufacturers of Predictive Maintenance Solution include IBM, Microsoft, SAP, GE Digital, Schneider, Hitachi, Siemens, Intel and RapidMiner, etc. In 2021, the global top five players have a share approximately % in terms of revenue.
We surveyed the Predictive Maintenance Solution companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Predictive Maintenance Solution Market, by Type, 2017-2022, 2023-2028 ($ millions)
Global Predictive Maintenance Solution Market Segment Percentages, by Type, 2021 (%)
  • Cloud Based
  • On-premises
Global Predictive Maintenance Solution Market, by Application, 2017-2022, 2023-2028 ($ millions)
Global Predictive Maintenance Solution Market Segment Percentages, by Application, 2021 (%)
  • Industrial and Manufacturing
  • Transportation and Logistics
  • Energy and Utilities
  • Healthcare and Life Sciences
  • Education and Government
  • Others
Global Predictive Maintenance Solution Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)
Global Predictive Maintenance Solution Market Segment Percentages, By Region and Country, 2021 (%)
  • North America
  • US
  • Canada
  • Mexico
  • Europe
  • Germany
  • France
  • U.K.
  • Italy
  • Russia
  • Nordic Countries
  • Benelux
  • Rest of Europe
  • Asia
  • China
  • Japan
  • South Korea
  • Southeast Asia
  • India
  • Rest of Asia
  • South America
  • Brazil
  • Argentina
  • Rest of South America
  • Middle East & Africa
  • Turkey
  • Israel
  • Saudi Arabia
  • UAE
  • Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
  • Key companies Predictive Maintenance Solution revenues in global market, 2017-2022 (estimated), ($ millions)
  • Key companies Predictive Maintenance Solution revenues share in global market, 2021 (%)
Further, the report presents profiles of competitors in the market, key players include:
  • IBM
  • Microsoft
  • SAP
  • GE Digital
  • Schneider
  • Hitachi
  • Siemens
  • Intel
  • RapidMiner
  • Rockwell Automation
  • Software AG
  • Cisco
  • Oracle
  • Fujitsu
  • Dassault Systemes
  • Augury Systems
  • TIBCO Software
  • Uptake
  • Honeywell
  • PTC
  • Huawei
  • ABB
  • AVEVA
  • SAS
  • SKF
  • Emerson
  • Mpulse
  • Maintenance Connection
  • Dingo
  • Particle

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