Global and China Predictive Maintenance Solution Market Size, Status and Forecast 2021-2027

Predictive maintenance is maintenance that directly monitors the condition and performance of equipment during normal operation to reduce the likelihood of failures. It attempts to keep costs low by reducing the frequency of maintenance tasks, reducing unplanned breakdowns and eliminating unnecessary preventive maintenance.
Predictive maintenance solution enables manufacturers to closely monitor machines with sensors and actuators embedded in the equipment. Using streaming analytics to continuously analyse sensor data and combine it with historical intelligence, this predictive maintenance solution is able to more accurately predict equipment failures and dispatch maintenance services only when they are needed. And some solution also take automated intelligent action to dispatch a part or schedule a technician, monitoring machine performance and field service technicians’ task lists in real time for more dynamic scheduling. The result is lower technician costs, improved service levels and greater machine uptime—all contributing to improved profitability and product quality.
According to the Segmentation of types, all the market of Predictive Maintenance Solutions can be divided as follows: Cloud Based and On-premises.The first kind need to mention is Cloud Based, it holds a comparatively larger share(77%) in global market, the following is On-premises.
Predictive Maintenance Solutions main application area is Industrial and Manufacturing, which holds 45% of the market. Then followed by the Transportation and Logistics.
SAP, Siemens, Schneider, IBM and GE Digital are the key players in the global Predictive Maintenance Solutions market. The market share of top 5 is about 30%, the competition is intense.

Market Analysis and Insights: Global Predictive Maintenance Solution Market
The global Predictive Maintenance Solution market size is projected to reach US$ 17550 million by 2027, from US$ 4174.9 million in 2020, at a CAGR of 22.8% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Predictive Maintenance Solution market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Predictive Maintenance Solution market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Predictive Maintenance Solution market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Predictive Maintenance Solution market.

Global Predictive Maintenance Solution Scope and Market Size
Predictive Maintenance Solution market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Predictive Maintenance Solution market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Cloud Based
On-premises

Segment by Application
Industrial and Manufacturing
Transportation and Logistics
Energy and Utilities
Healthcare and Life Sciences
Education and Government
Others

By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
IBM
Microsoft
SAP
GE Digital
Schneider
Hitachi
Siemens
Intel
RapidMiner
Rockwell Automation
Software AG
Cisco
Bosch.IO
C3.ai
Dell
Augury Systems
Senseye
T-Systems International
TIBCO Software
Fiix
Uptake
Sigma Industrial Precision
Dingo
Huawei
ABB
AVEVA
SAS