+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Predictive Maintenance Market by Component, by Deployment, by Technique, by Stakeholder, by Industry Vertical - Global Opportunity Analysis and Industry Forecast, 2021 - 2030

  • PDF Icon

    Report

  • 587 Pages
  • September 2021
  • Region: Global
  • Next Move Strategy Consulting
  • ID: 5403213

The global predictive maintenance market size was valued at $4.45 billion in 2020, and is projected to reach $64.25 billion by 2030, growing at a CAGR of 31.0% from 2021 to 2030. Predictive maintenance software is used to monitor the performance and condition of any equipment or machine while operating them. The software observes the equipment using advanced techniques that enables the maintenance of the machinery to be scheduled before any failure occurs. Predictive maintenance software has found its application in various fields like finding three-phase power imbalances from harmonic distortion, identifying motor amperage spikes, overheating from bad bearings, insulation breakdowns and locating potential overloads or degradation in electrical panels.

Market Dynamics and Trends:


The rise in uptime along with reduced maintenance cost, unexpected failures and spare part inventory has led the market to propel and flourish simultaneously. Also, the decrease in repair and overhaul time is the key driver for the predictive maintenance market growth.

However, factors such as high cost of installation and misinterpretation of data leading to false requests hinder the market growth of predictive maintenance software. Also, predictive analysis may not take contextual information into account, such as equipment age or weather. On the contrary, the surging demand for predictive maintenance software to predict embryonic assets failure and prevent loss will create massive opportunities for predictive maintenance market during the forecast year.

Market Segmentations and Scope of the Study:


The global predictive maintenance market is segmented into component, deployment model, technique, stakeholder, industry vertical, and region. Based on component, it is bifurcated into solution and service. According to deployment, the market is classified into cloud and on-premise segments. Further, based on technique the market is divided into vibration monitoring, electrical testing, oil analysis, ultrasonic leak detectors, shock pulse, infrared, and others. Based on stakeholder, the predictive maintenance market is segmented into MRO, OEM/ODM, and technology integrators. Based on industry vertical, it is classified into manufacturing, energy & utilities, aerospace & defense, transportation & logistics, government, and others. Based on region, it is analyzed across North America, Europe, Asia-Pacific, and rest of the world (RoW).

Geographical Analysis:


North America dominates the global predictive maintenance market, followed by Europe. This is due to the underlying factors like the presence of large number of service vendors, technological advancements and better awareness about predictive maintenance.

However, Asia Pacific will show a steady rise in the adoption of predictive maintenance due to the emerging economies, technological advancement and the need to adopt latest technological innovations for achieving optimum output through proper maintenance of assets.

Competitive Landscape:


The major market players include Asystom, C3.ai, Inc., Engineering Consultants Group, Inc., Expert Microsystems, Inc., Fiix Inc., Operational Excellence (OPEX) Group Ltd, Sigma Industrial Precision, Spark Cognition, TIBCO Software Inc., Uptake Technologies Inc, General Electric, Hitachi, Ltd., International Business Machines Corporation (IBM), Microsoft Corporation, PTC Inc.

KEY SEGMENTS:

 

Global Predictive Maintenance Market- By Component

  • Solution
  • Service
  • Professional Service
  • Support and Maintenance
  • Deployment and Integration
  • Training and Education
  • Managed Service

 

Global Predictive Maintenance Market- By Deployment

  • Cloud
  • On-premise

 

Global Predictive Maintenance Market- By Technique

  • Vibration Monitoring
  • Electrical Testing
  • Oil Analysis
  • Ultrasonic Leak Detectors
  • Shock Pulse
  • Infrared
  • Others

 

Global Predictive Maintenance Market- By Stakeholder

  • MRO
  • OEM/ODM
  • Technology Integrators
  • Pure play
  • End-to-end

 

Global Predictive Maintenance Market- By Industry Vertical

  • Manufacturing
  • Energy & utilities
  • Aerospace & Defense
  • Transportation & Logistics
  • Government
  • Healthcare
  • Others

 

Global Predictive Maintenance Market- By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • France
  • UK
  • Italy
  • Rest of Europe
  • Asia-Pacific
  • Japan
  • China
  • India
  • South Korea
  • Rest of Asia-Pacific
  • RoW
  • Latin America
  • Middle East
  • Africa
Frequently Asked Questions about the Predictive Maintenance Market

What is the estimated value of the Predictive Maintenance Market?

The Predictive Maintenance Market was estimated to be valued at $5.7 Billion in 2021.

What is the growth rate of the Predictive Maintenance Market?

The growth rate of the Predictive Maintenance Market is 31.2%, with an estimated value of $64.3 Billion by 2030.

What is the forecasted size of the Predictive Maintenance Market?

The Predictive Maintenance Market is estimated to be worth $64.3 Billion by 2030.

Who are the key companies in the Predictive Maintenance Market?

Key companies in the Predictive Maintenance Market include Asystom SAS Microsoft Corporation PTC Inc. SAP SE C3. AI Inc. TIBCO Software Inc. Uptake Technologies Inc. General Electric SAS Institute Corporation IBM Corporations.

Table of Contents

1. Introduction
1.1. Report Description
1.2. Who Should Read this Report
1.3. Key Market Segments
1.4. Research Methodology
2. Predictive Maintenance Market - Executive Summary
2.1. Market Snapshot, 2019 - 2030, Million USD
3. Market Overview
3.1. Market Definition and Scope
3.2. Market Dynamics
4. COVID-19 Analysis
4.1. Impact on Market Size
4.2. Impact of End-user Preferences and Stimulus Packages
4.3. Strategies Adopted by Key Players to Tackle COVID-19's Influence on Market
5. Global Predictive Maintenance Market, by Component
5.1. Overview
5.2. Solution
5.3. Service
6. Global Predictive Maintenance Market, by Technique
6.1. Overview
6.2. Vibration Monitoring
6.3. Electrical Testing
6.4. Oil Analysis
6.5. Ultrasonic Leak Detectors
6.6. Shock Pulse
6.7. Infrared
6.8. Other Techniques
7. Global Predictive Maintenance Market, by Deployment Type
7.1. Overview
7.2. Cloud
7.3. On-Premise
8. Global Predictive Maintenance Market, by Stakeholder
8.1. Overview
8.2. Mro
8.3. Oem/Odm
8.4. Technology Integrators
9. Global Predictive Maintenance Market, by Industry Vertical
9.1. Overview
9.2. Manufacturing
9.3. Energy & Utilities
9.4. Aerospace & Defense
9.5. Transportation & Logistics
9.6. Government
9.7. Healthcare
9.8. Other Industry Vehicle
10. Global Predictive Maintenance Market, by Region
10.1. Overview
10.2. North America
10.3. Europe
10.4. Asia-Pacific
10.5. Rest of World
11. Company Profiles
11.1. Asystom Sas
11.2. General Electric
11.3. International Business Machines Corporation
11.4. Microsoft Corporation
11.5. Ptc Inc.
11.6. Sap Se
11.7. Sas Institute Inc.
11.8. Tibco Software Inc.
11.9. Uptake Technologies, Inc.
11.10. C3.Ai, Inc.

Executive Summary

Predictive Maintenance: Global Market Size, Trends, Competitive, Historical & Forecast Analysis, 2021 - 2030. Growing demand for operational efficiency with reduced cost along with rising need of industrial safety are some of the drivers for the predictive maintenance market growth.

Predictive Maintenance software helps in tracking the performance of any equipment or machine and highlights maintenance requirements before any failure occurs. Advantages offered by predictive maintenance software such as prolonged service life of components, reduction of spare parts stocks and decrease in the cost of maintenance are expected to boost the market growth during the forecast period. However, the drawbacks such as high cost of installation and misinterpretation of data leading to false requests is hindering the market growth of predictive maintenance.

The global predictive maintenance market is segmented into component, deployment model, technique, stakeholder, industry vertical, and region. Based on component, it is bifurcated into solution and service. According to deployment, the market is classified into cloud and on-premise segments. Further, based on technique the market is divided into vibration monitoring, electrical testing, oil analysis, ultrasonic leak detectors, shock pulse, infrared, and others. Based on stakeholder, the predictive maintenance market is segmented into MRO, OEM/ODM, and technology integrators. Based on industry vertical, it is classified into manufacturing, energy & utilities, aerospace & defense, transportation & logistics, government, and others. Based on region, it is analyzed across North America, Europe, Asia-Pacific, and rest of the world (RoW).

Companies Mentioned

A selection of companies mentioned in this report includes:

Asystom SAS
Microsoft Corporation
PTC Inc.
SAP SE
C3. AI Inc.
TIBCO Software Inc.
Uptake Technologies Inc.
General Electric
SAS Institute Corporation
IBM Corporations