DUBLIN--(BUSINESS WIRE)--The "Predictive Maintenance Market Report 2017-22" report has been added to Research and Markets' offering.
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.
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.
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.
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
Key Topics Covered:
Executive Summary
1. Introduction to Predictive Maintenance
2. Market Size & Outlook
3. Competitive Landscape
4. Business Models & Use Cases
5. Trends & Challenges
6. Methodology & Definitions
Companies Mentioned
- Accenture
- Alexander Thamm
- Bosch
- BrĂ¼el&Kjaer
- C3 IoT
- Cassantec
- Caterpillar
- Cisco
- DELL
- DataRPM
- General Electric
- Helium
- Hitachi
- Huawei
- IBM
- Keysight Technologies
- Konux
- Meggitt
- Microsoft
- National Instruments
- OSIsoft
- PTC
- Rockwell Automation
- SAP
- SAS
- SKF
- Samsara
- Schneider Electric
- Senseye
- Siemens
- Sight Machine
- Software AG
- Spectris plc
- Splunk
- Tachyus
- Uptake
For more information about this report visit https://www.researchandmarkets.com/research/n6tknc/predictive