Predictive Maintenance Report 2019-2024

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UPDATE: This report has been updated. The new version can be found here.

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 report details the fastest growing use case for the Internet of Things.

Find out:

  • What are Low Power Wide Area Networks and what technologies are currently competing on the market
  • What are the key use cases addressed by LPWANs
  • What’s the current state of the 4 leading LPWAN technologies (LoRa, Sigfox, Nb-IoT, LTE-M)
  • 21 insights related to recent LPWAN market developments and current trends
  • How big is the LPWAN market today and how fast it is growing
  • Which LPWAN technologies are leading the market growth, and their market shares
  • How the LPWAN market is developing over 9 market segments
  • How the LPWAN market is developing over 5 regions
  • 5 examples of recent case studies involving large-scale LPWAN deployments (10,000+ devices)

Questions answered in this report:

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

Read the corresponding blog post here.

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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.

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).

To better understand the market players 9 of the top Predictive Maintenance providers are profiled and a Database of 180+ Predictive Maintenance 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 Predictive Maintenance 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 adjacent slide presents the definition of Predictive Maintenance used in the analysis.

Selected companies from the Predictive Maintenance 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.

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Additional information

Publication date

June 2019

Scope

136 pages

Inquiry email

sales@iot-analytics.com

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+49 (0) 40-63911891

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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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