Operational Predictive Maintenance Market, by Type (Software, and Services (Implementation and Integration, Training & Support, and Consulting)), by Deployment Model (On-premise, and Cloud-based), by End User (Public Sector, Automotive, Manufacturing , He

Operational Predictive Maintenance Market, by Type (Software, and Services (Implementation and Integration, Training & Support, and Consulting)), by Deployment Model (On-premise, and Cloud-based), by End User (Public Sector, Automotive, Manufacturing , Healthcare, Energy & Utility, Transportation, and Others) and by Geography (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) - Size, Share, Outlook, and Opportunity Analysis, 2022 - 2028

Operational predictive maintenance software manages multiple data sources in real-time for predicting the severity of an issue, if any arises or any asset failure. Organizations across the globe are adopting predictive maintenance software for preventing downtime and reducing the maintenance cost of an asset. Furthermore, the deployment of predictive maintenance software will help an organization to boost the equipment uptime and enhance the supply chain process, and the quality of the supply chain. Operational predictive maintenance services majorly comprise the integration and implementation, consulting services, and training & support. This operational predictive maintenance services helps an operational department of an organization with the advanced analytics software in daily business process.
Market Dynamics
Increasing demand for transforming maintenance operations of an organization and reducing the downtime of an organization, is expected propel the demand for operational predictive maintenance market over the forecast period. In addition, initiative taken by the government for increasing the efficiency of manufacturing plants and machines, is expected to attribute the demand for operation predictive maintenance over the forecast period.
Moreover, managers of major industrial facilities are constantly focused on enhancing maintenance process at manufacturing plants and other operating ecosystems, for preventing the downtime of an assets. Moreover, predictive maintenance system can control various types of data including temperature, energy use, output, run time, etc. to enhance decision making and operations at manufacturing plants or manufacturing units.
Market Taxonomy
On the basis of type, the market is segmented into software, and services (implementation and integration, training & support, consulting). On the basis of deployment model, the market is segmented into on premise, and cloud-based. On basis of end user, the market is segmented into public sector, automotive, manufacturing, healthcare, energy & utility, transportation, and others.
Key features of the study:
This report provides in-depth analysis of Operational Predictive Maintenance market size (US$ Million), and Compound Annual Growth Rate (CAGR %) for the forecast period (2022-2028), considering 2021 as the base year
It elucidates potential revenue opportunity across different segments and explains attractive investment proposition matrix for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, regional outlook, and competitive strategy adopted by leading players
It profiles leading players in the Global Operational Predictive Maintenance Market systems based on the following parameters – company overview, financial performance, product portfolio, geographical presence, Dust control market capital, key developments, strategies, and future plans
Companies covered as part of this study include General Electric Company, IBM Corporation, eMaint Enterprises LLC, Software AG, Schneider Electric SE, SAS Institute Inc., Rockwell Automation Inc., PTC, Inc., and Robert Bosch GmbH.
Insights from this report would allow marketers and management authorities of companies to make informed decision regarding future product launches, product upgrades, market expansion, and marketing tactics
The Global Operational Predictive Maintenance Market report caters to various stakeholders in this industry including investors, suppliers, manufacturers, distributors, new entrants, and financial analysts
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the Global Operational Predictive Maintenance Market.
Detailed Segmentation:
Global Operational Predictive Maintenance Market, By Type:
Software
Services
Implementation and Integration
Training & Support
Consulting
Global Operational Predictive Maintenance Market, By Deployment Model:
On-premise
Cloud-based
Global Operational Predictive Maintenance Market, By End User:
Public Sector
Automotive
Manufacturing
Healthcare
Energy & Utility
Transportation
Others
Global Operational Predictive Maintenance Market, By Region:
North America
By Type:
Software
Services
Implementation and Integration
Training & Support
Consulting
By Deployment Model:
On-premise
Cloud-based
By End User:
Public Sector
Automotive
Manufacturing
Healthcare
Energy & Utility
Transportation
Others
By Country:
U.S.
Canada
Europe
By Type:
Software
Services
Implementation and Integration
Training & Support
Consulting
By Deployment Model:
On-premise
Cloud-based
By End User:
Public Sector
Automotive
Manufacturing
Healthcare
Energy & Utility
Transportation
Others
By Country:
U.K.
Germany
Italy
France
Spain
Russia
Rest of Europe
Asia Pacific
By Type:
Software
Services
Implementation and Integration
Training & Support
Consulting
By Deployment Model:
On-premise
Cloud-based
By End User:
Public Sector
Automotive
Manufacturing
Healthcare
Energy & Utility
Transportation
Others
By Country:
China
India
Japan
Australia & New Zealand
South Korea
Rest of Asia Pacific
Latin America
By Type:
Software
Services
Implementation and Integration
Training & Support
Consulting
By Deployment Model:
On-premise
Cloud-based
By End User:
Public Sector
Automotive
Manufacturing
Healthcare
Energy & Utility
Transportation
Others
By Country
Brazil
Mexico
Argentina
Rest of Latin America
Middle East & Africa
By Type:
Software
Services
Implementation and Integration
Training & Support
Consulting
By Deployment Model:
On-premise
Cloud-based
By End User:
Public Sector
Automotive
Manufacturing
Healthcare
Energy & Utility
Transportation
Others
By Country
GCC Countries
South Africa
Rest of Middle East & Africa
Company Profiles
General Electric Company*
Company Overview
Product Portfolio
Financial Performance
Key Strategies
Recent Developments/ Updates
IBM Corporation
eMaint Enterprises LLC
Software AG
Schneider Electric SE
SAS Institute Inc.
Rockwell Automation Inc.
PTC, Inc.
Robert Bosch GmbH.
Hewlett Packard Enterprise Development LP.
“*” marked represents similar segmentation in other categories in the respective section.