Predictive Maintenance Report 2019-2024

$3,000.00$6,000.00

Predictive Maintenance Market Report 2019-2024 Cover

Comprehensive 136-page industry report detailing the $23.5B Predictive Maintenance market including:

  • Market forecast 2019 to 2024
  • Market size by technology, industry and region
  • Database of 110+ real world predictive maintenance projects
  • Database of 180+ predictive maintenance providers
  • 8 Market drivers & characteristics
  • 9 Company profiles, detailing leading vendors
  • 9 Case studies of recent deployments
  • 11 Industry trends
  • 10 Challenges/barriers to adoption
  • Business Model analysis
  • And More

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Description

Predictive Maintenance Report 2019-2024

This predictive maintenance market report details the fastest growing use case for the Internet of Things. 

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, and Other)
  • How Predictive Maintenance solutions are being implemented today (9 detailed use cases and list of 110+ real world projects)
  • What the 11 current main trends are
  • How the 9 leading Predictive Maintenance companies compare and how they fit into the landscape of 180+ PdM technology vendors
  • Regional Market Split for 2018 to 2024
  • How OEMs monetize Predictive Maintenance and what the corresponding services look like

QUESTIONS ANSWERED IN THIS REPORT:

  • What is Predictive Maintenance? ( i.e., a Predictive Maintenance definition)
  • Which technologies are used for PdM (including a sensing and analytics technology deep-dive)?
  • What are the examples of PdM vendors and PdM case studies?
  • Which new business models does PdM allow?
  • How does the PdM market look like (i.e., overview by regions, technologies, industries)?
  • Which benefits are companies seeing from their PdM investments, and which KPIs are they using to measure them?
  • What are the market drivers, trends & challenges in Predictive Maintenance space?

AVAILABLE PLANS

MARKET REPORT
SINGLE USER LICENSE

$3,000 136 page PDF
    • 1 Named user (in your organization within the country of purchase)
    • Complete market report in PDF

MARKET REPORT
TEAM USER LICENSE

$4,000 136 page PDF
    • 1-5 Named users (in your organization within the country of purchase)
    • Complete market report in PDF
    • Market model data, 11 tables
    • Database of 110+ PdM Projects
    • Database of 180+ PdM Providers

MARKET REPORT
ENTERPRISE PREMIUM LICENSE

$6,000 136 page PDF
    • Unlimited users (in your organization within the country of purchase)
    • Complete market report in PDF
    • Market model data, 11 tables
    • Database of 110+ PdM Projects
    • Database of 180+ PdM Providers
    • Complete market report in PPT
    • 1h Discussion with the analyst team

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AT A GLANCE

Predictive Maintenance continues to be a hot topic for the Internet of Things (IoT), helped by the parallel advances in many fields; namely sensing technologies, connectivity, IoT architectures, data science & artificial intelligence. The global Predictive Maintenance market reached $3.3B in 2018 and is expected to grow at a CAGR of 39% to become a $23.5B market by 2024.


Predictive Maintenance Market

This report outlines the Predictive Maintenance market by segment. It examines current and expected spending for Predictive Maintenance solutions in greater detail across 13 vertical-industry segments (Automotive & Transport, Buildings, Chemicals, Consumer Products, Energy, Healthcare, Machinery, Metals & Mining, Oil&Gas, Discrete Other, Pulp & Paper, Water & Wastewater, Other ), 7 technology areas (Hardware, Connectivity, Platform, Storage, Analytics, Applications, and System Integration & Services) as well as a regional breakdown with country level deep dives for 5 regions (APAC, Europe, MEA, North America, and South America).


Predictive Maintenance Report 2019-2024 - Predictive Maintenance Adoption by Industry

To better understand the market players 9 of the top Predictive Maintenance providers are profiled and a Database of 180+ PdM companies in the field is included. The study also describes the top 11 industry trends and 10 main challenges affecting Predictive Maintenance. The report comes with an additional Database of 110+ detailed PdM projects and provides a deep-dive into 9 specific case study examples of Predictive Maintenance currently in the market.

 

DEFINITION OF PREDICTIVE MAINTENANCE

For this report the following slide presents the definition of Predictive Maintenance used in the analysis.

Predictive maintenance definition - Predictive Maintenance Report 2019-2024

 

SELECTED COMPANIES FROM THE PREDICTIVE MAINTENANCE MARKET REPORT

Accenture, Bosch, C3, Cassantec, Cisco, Dell, E.ON, General Electric, Falkonry, Heidelberger Druck, Helium, Huawei, Hitachi, IBM, Keysight Technologies, Konux, Microsoft, National Instruments, OSIsoft, Pronosis, PTC, Rockwell Automation, SAP, SAS, Schneider Electric, Senseye, Siemens, SKF, Software AG, SparkCognition, Splunk, Tachyus, thyssenkrupp, Uptake +160 more.

TERMS & CONDITIONS

The terms and conditions of the different plans for the Predictive Maintenance Market report can be found HERE.

PRESS RELEASE

Read the corresponding press release HERE.

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OUR INSIGHTS ARE TRUSTED BY

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Additional information

Publication date

June 2019

Scope

136 pages

Inquiry email

sales@iot-analytics.com

Inquiry phone

+49 (0) 40-63911891

Terms & Conditions

https://iot-analytics.com/termsconditions/

Table of Contents

Executive Summary
What has changed since the last report

1. Introduction to Predictive Maintenance
1.1 Definition & Disambiguation
1.2 Role in IoT&I4.0

2. Technology
2.1 Application areas
2.2 Technology stack
2.3 Deep-dive: Sensing techniques
2.4 Deep-dive: Analytics

3. Market Size & Outlook
3.1 Total Market & Overall Drivers
3.2 Market by Technology
3.3 Market by Industry
3.4 Market by Region

4. Competitive Landscape
4.1 Overview
4.2 Company Profiles
4.3 M&A Activity Log

5. Business Models & Case Studies
5.1 Benefits of PdM implementations
5.2 Software vendor perspective
5.3 OEM perspective
5.4 Operator/Shopfloor perspective
5.5 Case studies

6. Trends & Challenges
6.1 Major trends
6.2 Challenges & Barriers

7. Methodology & Definitions
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