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The predictive maintenance (PDM) market is forecasted to grow by USD 33.76 billion during 2023-2028, accelerating at a CAGR of 39% during the forecast period. The report on the predictive maintenance (PDM) market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increased adoption of advanced analytics by smes owing to rise in cloud computing, increase in need for lifespan of aging industrial machinery, and increase in need to obtain insights from implementation of new technologies.
The predictive maintenance (PDM) market is segmented as below:
By Component
- Solutions
- Service
By Deployment
- On-premises
- Cloud
By Geographical Landscape
- North America
- Europe
- APAC
- South America
- Middle East and Africa
The report on the predictive maintenance (PDM) market covers the following areas:
- Predictive maintenance (PDM) market sizing
- Predictive maintenance (PDM) market forecast
- Predictive maintenance (PDM) market industry analysis
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast the accurate market growth.
Table of Contents
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Component
7 Market Segmentation by Deployment
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
360 degree market analysis
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global predictive maintenance (PDM) market: Augury Inc., Avnet Inc., C3.AI Inc, Dell Technologies Inc., Deutsche Telekom AG, Fortive Corp., General Electric Co., Hitachi Ltd., Honeywell International Inc., International Business Machines Corp., PTC Inc., RapidMiner Inc., Reliability Solutions sp. z o.o., Robert Bosch GmbH, Rockwell Automation Inc., SAP SE, SAS Institute Inc., Schneider Electric SE, Siemens AG, and Warwick Analytics Services Ltd..Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is proliferation of advanced technologies, AI, and IOT."
According to the report, one of the major drivers for this market is the increased adoption of advanced analytics by smes owing to rise in cloud computing.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Augury Inc.
- Avnet Inc.
- C3.ai Inc
- Dell Technologies Inc.
- Deutsche Telekom AG
- Fortive Corp.
- General Electric Co.
- Hitachi Ltd.
- Honeywell International Inc.
- International Business Machines Corp.
- PTC Inc.
- RapidMiner Inc.
- Reliability Solutions sp. z o.o.
- Robert Bosch GmbH
- Rockwell Automation Inc.
- SAP SE
- SAS Institute Inc.
- Schneider Electric SE
- Siemens AG
- Warwick Analytics Services Ltd.
