Description
UPDATED version available: Predictive Maintenance Report 2019-2024
Predictive Maintenance is emerging as the core Industrial IoT use case.
Read the corresponding press release here.
Find out:
- How the market is developing in 13 key industries:
Automotive & Transport, Buildings, Chemicals, Consumer Products, Energy, Healthcare, Machinery, Metals & Mining, Oil&Gas, Discrete Other, Pulp & Paper, Water & Wastewater, Other - How Predictive Maintenance solutions are being implemented today (11 detailed use cases and list of 36 others)
- What the 6 current main trends are
- How the 10 leading Predictive Maintenance companies compare and how they fit into the landscape of 110 PdM technology vendors
- Patterns and rationales of the latest M&A transactions
- Regional Market Split for 2016
- How OEMs monetize Predictive Maintenance and what the corresponding services look like
Available pricing plans:
See Terms & Conditions for license details.
Standard License
50% off- 1 Named user
- Complete report in PDF
- No bonus content
- No report in PPT
- No discussion with the analyst team
Extended License
50% off- 1-5 Named users
- Complete report in PDF
- Bonus: 2017 List of 450+ IoT Platform Companies
- No report in PPT
- No discussion with the analyst team
Enterprise Premium License
50% off- Unlimited users in your organization within the country of purchase
- Complete report in PDF
- Bonus: 2017 List of 450+ IoT Platform Companies
- Complete report in PPT
- 1h discussion with the analyst team
At a glance:
The emerging market for Predictive Maintenance shows increasing growth as maintenance strategies move from what has been known as Condition-based Maintenance to Analytics- and IoT-enabled Predictive Maintenance. The transition toward Predictive Maintenance is mostly driven by new IoT platforms, low-cost secure cloud storage as well as analytics vendors that offer dynamic data models play.
This report outlines the $10.96B Predictive Maintenance market by segment. It examines current and expected spending for Predictive Maintenance solutions in greater detail across 13 vertical-industry segments and 7 technology areas.
To better understand the market players 10 of the top Predictive Maintenance providers are profiled and a List of 100+ companies in the field is included. The study also describes the top 6 trends and main challenges affecting Predictive Maintenance.
The report presents 47 use cases and provides a deep-dive into 11 specific examples of Predictive Maintenance currently in the market.
Comparison to other maintenance approaches are outlined to highlight the benefits of connected Predictive Maintenance solutions, focussing especially on the differences between Condition-based Maintenance and Predictive Maintenance.
Table of contents
Preface: Moving from Preventive Maintenance to Predictive Maintenance
Predictive Maintenance Definition
Comparison to other maintenance approaches
Selected companies from the report
Accenture, Alexander Thamm, Bosch, Brüel&Kjaer, C3 IoT, Cassantec, Caterpillar, Cisco, DataRPM, DELL, General Electric, Helium, Huawei, Hitachi, IBM, Keysight Technologies, Konux, Meggitt, Microsoft, National Instruments, OSIsoft, PTC, Rockwell Automation, Samsara, SAP, SAS, Schneider Electric, Senseye, Siemens, Sight Machine, SKF, Software AG, Spectris plc, Splunk, Tachyus, Uptake
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