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 software 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 software 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.
This report contains market size and forecasts of Predictive Maintenance (PdM) Software in Global, including the following market information:
Global Predictive Maintenance (PdM) Software Market Revenue, 2017-2022, 2023-2028, ($ millions)
Global top five companies in 2021 (%)
The global Predictive Maintenance (PdM) Software market was valued at million in 2021 and is projected to reach US$ million by 2028, at a CAGR of % during the forecast period.
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 (PdM) Software 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.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the Predictive Maintenance (PdM) Software 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 (PdM) Software Market, by Type, 2017-2022, 2023-2028 ($ millions)
Global Predictive Maintenance (PdM) Software Market Segment Percentages, by Type, 2021 (%)
Cloud Based
On-premises
Global Predictive Maintenance (PdM) Software Market, by Application, 2017-2022, 2023-2028 ($ millions)
Global Predictive Maintenance (PdM) Software 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 (PdM) Software Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)
Global Predictive Maintenance (PdM) Software 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 (PdM) Software revenues in global market, 2017-2022 (estimated), ($ millions)
Key companies Predictive Maintenance (PdM) Software 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
Bosch.IO
C3.ai
Dell
Augury Systems
Senseye
T-Systems International
TIBCO Software
Fiix
Uptake
Sigma Industrial Precision
Dingo
Huawei
ABB
AVEVA
SAS