Predictive Maintenance Market Report 2017-22 - Product Image

Predictive Maintenance Market Report 2017-22

  • ID: 4330408
  • Report
  • 139 pages
  • IoT-Analytics
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FEATURED COMPANIES

  • Accenture
  • Caterpillar
  • Hitachi
  • Microsoft
  • SAP
  • SKF
  • MORE

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

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.

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FEATURED COMPANIES

  • Accenture
  • Caterpillar
  • Hitachi
  • Microsoft
  • SAP
  • SKF
  • MORE

Executive Summary
1. Introduction to Predictive Maintenance

PREFACE
1.1 Definition & Disambiguation
1.2 Role in IoT & I4.0
1.3 Benefits of employing PdM
1.4 PdM application areas
1.5 PdM process
1.6 Technology stack

2. Market Size & Outlook

2.1 Total Market
2.2 General Market
2.3 Market by Technology
2.4 Market by Industry
2.5 Market by Region

3. Competitive Landscape

3.1 Overview
3.2 List of Vendors
3.3 Company Profiles
3.4 M&A Patterns
3.5 M&A Activity Log
3.6 M&A Examples

4. Business Models & Use Cases

4.1 Business model observations
4.2 Selected market strategies
4.3 Use Case deep-dive
4.4 Further use cases

5. Trends & Challenges

5.1 Trending Topics
5.2 The Future of Services
5.3 Challenges & Barriers
5.4 PdM Research

6. Methodology & Definitions

Appendix

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  • Accenture
  • Alexander Thamm
  • Bosch
  • Brüel&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
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The methodology is available for download below.
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