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Predictive Maintenance Market by Component, Deployment Type, Technique, Stakeholder, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2019-2026

  • ID: 4845514
  • Report
  • August 2019
  • Region: Global
  • 395 pages
  • Allied Analytics LLP

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FEATURED COMPANIES

  • Asystom
  • Expert MicrosystemsInc.
  • General Electric
  • IBM Corporation
  • PTC Inc.
  • SAS Institute Inc.
  • MORE
Predictive maintenance (PdM) is a process for monitoring equipment during operation with the purpose of identifying any deterioration, allowing maintenance to be planned, and reducing the operational costs. In this, data about previous breakdowns is used to model when failures are likely to occur and arbitrate at the same time as sensors detect the same conditions. PdM techniques are used to identify the time the in-service equipment requires maintenance to avoid expensive operational disruptions caused due to equipment failures. Increase in adoption of industry 4.0, booming manufacturing industry are driving the demand for predictive maintenance solutions.

Factors such as increase in need to improve the uptime of asset and reduce cost, growing investment on predictive maintenance due to adoption of IoT drives the growth of the global predictive maintenance market. Further, increase in need to gain insights from the adoption of new technologies boosts the growth of the predictive maintenance market. However, difficulty in implementation and data security concerns hamper the market growth. Furthermore, adoption of advanced technologies such machine learning and integration of predictive maintenance with IIoT is anticipated to fuel the growth of the predictive maintenance market.

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 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 LAMEA.

The report analyzes the profiles of key players operating in the market. These include IBM Corporation, Microsoft Corporation, SAP SE, General Electric, Schneider Electric, Hitachi, Ltd., PTC Inc., Software AG, SAS Institute Inc., Engineering Consultants Group, Inc., Expert Microsystems, Inc., SparkCognition, C3.ai, Inc., Uptake Technologies Inc., Fiix Inc., Operational Excellence (Opex) Group Ltd, TIBCO Software Inc., Asystom, and Sigma Industrial Precision.

KEY BENEFITS FOR STAKEHOLDERS
  • The study provides an in-depth analysis of the global predictive maintenance market along with the current & future trends to elucidate the imminent investment pockets.
  • Information about key drivers, restrains, and opportunities and their impact analyses on the market size is provided in the report.
  • Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
  • The quantitative analysis of the global predictive maintenance market from 2018 to 2026 is provided to determine the market potential.
KEY MARKET SEGMENTS

By Component
  • Solution
  • Service
By Deployment
  • Cloud
  • On-premise
By Technique
  • Vibration Monitoring
  • Electrical Testing
  • Oil Analysis
  • Ultrasonic Leak Detectors
  • Shock Pulse
  • Infrared
  • Others
By Stakeholder
  • MRO
  • OEM/ODM
  • Technology Integrators
By Industry Vertical
  • Manufacturing
  • Energy & utilities
  • Aerospace & Defense
  • Transportation & Logistics
  • Government
  • Healthcare
  • Others
BY REGION
  • North America
o U.S.
o Canada
  • Europe
o Germany
o France
o UK
o Italy
o Rest of Europe
  • Asia-Pacific
o Japan
o China
o India
o South Korea
o Rest of Asia-Pacific
  • LAMEA
o Latin America
o Middle East
o Africa

KEY MARKET PLAYERS
  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • General Electric
  • Schneider Electric
  • Hitachi, Ltd.
  • PTC Inc.
  • Software AG
  • SAS Institute Inc.
  • Engineering Consultants Group, Inc.
  • Expert Microsystems, Inc.
  • SparkCognition
  • C3.ai, Inc.
  • Uptake Technologies Inc.
  • Fiix Inc.
  • Operational Excellence (Opex) Group Ltd
  • TIBCO Software Inc.
  • Asystom
  • Sigma Industrial Precision
Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Asystom
  • Expert MicrosystemsInc.
  • General Electric
  • IBM Corporation
  • PTC Inc.
  • SAS Institute Inc.
  • MORE
Chapter 1: Introduction
1.1. Report Description
1.2. Key Market Segments
1.3. Research Methodology
1.3.1. Primary Research
1.3.2. Secondary Research
1.3.3. Analyst Tools & Models

Chapter 2: Executive Summary
2.1. Cxo Perspective

Chapter 3: Market Landscape
3.1. Market Definition And Scope
3.2. Key Findings
3.2.1. Top Investment Pockets
3.2.2. Top Impacting Factors
3.2.3. Top Winning Strategies
3.3. Porter'S Five Forces Analysis
3.3.1. Bargaining Power of Suppliers
3.3.2. Threat of New Entrants
3.3.3. Threat of Substitutes
3.3.4. Competitive Rivalry
3.3.5. Bargaining Power Among Buyers
3.4. Key Player Positioning
3.5. Market Dynamics
3.5.1. Drivers
3.5.1.1. The Need To Improve Uptime of Equipment And Maintenance Cost Reduction
3.5.1.2. Increase In Investment On Predictive Maintenance
3.5.2. Restraints
3.5.2.1. Lack of Skilled Staff
3.5.2.2. Difficult To Implement
3.5.2.3. Data Privacy And Security Concerns
3.5.3. Opportunity
3.5.3.1. Integration of Predictive Maintenance With IIoT And Use of Machine Learning
3.5.3.2. Real-Time Condition Monitoring To Assist In Taking Prompt Actions
3.6. Value Chain Analysis
3.7. Robotics Adoption In Manufacturing
3.8. Ai Implementation Analysis Across Industry Verticals
3.9. Qualitative Insights (Detection And Diagnosis)
3.9.1. Case Studies
3.9.2. Mueller Industries
3.9.3. Deutsche Bahn Ag
3.9.4. Vaalco Energy, Inc.
3.9.5. Israel Electric Corporation (Iec)
3.10. Models And Approaches
3.10.1. Statistical Pattern Classification:
3.10.1.1. Bayesian Network
3.10.1.2. Neural Networks
3.10.1.3. Linear Classification
3.10.1.4. Hybrid Models
3.10.2. Pattern Classification: Phases And Components
3.10.2.1. Training Phase
3.10.2.2. Testing Phase
3.10.3. Sub Problems Pattern Classification
3.10.3.1. Feature Extraction
3.10.3.2. Over Fitting
3.10.3.3. Model Selection
3.10.3.4. Prior Knowledge
3.10.3.5. Missing Features
3.10.3.6. Mereology
3.10.3.7. Segmentation
3.10.3.8. Context
3.10.3.9. Invariance’S Evidence
3.10.3.10. Pooling Costs And Risks
3.10.3.11. Computational Complexity

Chapter 4: Predictive Maintenance Market, By Component
4.1. Overview
4.2. Solution
4.2.1. Key Market Trends, Growth Factors And Opportunities
4.2.2. Market Size And Forecast, By Region
4.2.3. Market Analysis By Country
4.3. Service
4.3.1. Key Market Trends, Growth Factors, And Opportunities
4.3.2. Market Size And Forecast, By Region
4.3.3. Market Analysis By Country
4.3.4. Professional Service
4.3.4.1. Market Size And Forecast
4.3.4.2. Support And Maintenance
4.3.4.3. Deployment And Integration
4.3.4.4. Training And Education
4.3.5. Managed Service

Chapter 5: Predictive Maintenance Market, By Technique
5.1. Overview
5.2. Vibration Monitoring
5.2.1. Key Market Trends, Growth Factors And Opportunities
5.2.2. Market Size And Forecast, By Region
5.2.3. Market Analysis By Country
5.3. Electrical Testing
5.3.1. Key Market Trends, Growth Factors, And Opportunities
5.3.2. Market Size And Forecast, By Region
5.3.3. Market Analysis By Country
5.4. Oil Analysis
5.4.1. Key Market Trends, Growth Factors, And Opportunities
5.4.2. Market Size And Forecast, By Region
5.4.3. Market Analysis By Country
5.5. Ultrasonic Leak Detectors
5.5.1. Key Market Trends, Growth Factors, And Opportunities
5.5.2. Market Size And Forecast, By Region
5.5.3. Market Analysis By Country
5.6. Shock Pulse
5.6.1. Key Market Trends, Growth Factors, And Opportunities
5.6.2. Market Size And Forecast, By Region
5.6.3. Market Analysis By Country
5.7. Infrared
5.7.1. Key Market Trends, Growth Factors And Opportunities
5.7.2. Market Size And Forecast, By Region
5.7.3. Market Analysis By Country
5.8. Others
5.8.1. Key Market Trends, Growth Factors And Opportunities
5.8.2. Market Size And Forecast, By Region
5.8.3. Market Analysis By Country

Chapter 6: Predictive Maintenance Market, By Deployment Type
6.1. Overview
6.2. Cloud
6.2.1. Key Market Trends, Growth Factors And Opportunities
6.2.2. Market Size And Forecast, By Region
6.2.3. Market Analysis By Country
6.3. On-Premise
6.3.1. Key Market Trends, Growth Factors And Opportunities
6.3.2. Market Size And Forecast, By Region
6.3.3. Market Analysis By Country

Chapter 7: Predictive Maintenance Market, By Stakeholder
7.1. Overview
7.2. MRO
7.2.1. Key Market Trends, Growth Factors And Opportunities
7.2.2. Market Size And Forecast, By Region
7.2.3. Market Analysis By Country
7.3. OEM/ODM
7.3.1. Key Market Trends, Growth Factors And Opportunities
7.3.2. Market Size And Forecast, By Region
7.3.3. Market Analysis By Country
7.4. Technology Integrators
7.4.1. Key Market Trends, Growth Factors And Opportunities
7.4.2. Market Size And Forecast, By Region
7.4.3. Market Analysis By Country
7.4.4. Pure Play
7.4.5. End-To-End

Chapter 8: Predictive Maintenance Market, By Industry Vertical
8.1. Overview
8.2. Manufacturing
8.2.1. Key Market Trends, Growth Factors And Opportunities
8.2.2. Market Size And Forecast, By Region
8.2.3. Market Analysis By Country
8.3. Energy & Utilities
8.3.1. Key Market Trends, Growth Factors And Opportunities
8.3.2. Market Size And Forecast, By Region
8.3.3. Market Analysis By Country
8.4. Aerospace & Defense
8.4.1. Key Market Trends, Growth Factors And Opportunities
8.4.2. Market Size And Forecast, By Region
8.4.3. Market Analysis By Country
8.5. Transportation & Logistics
8.5.1. Key Market Trends, Growth Factors And Opportunities
8.5.2. Market Size And Forecast, By Region
8.5.3. Market Analysis By Country
8.6. Government
8.6.1. Key Market Trends, Growth Factors And Opportunities
8.6.2. Market Size And Forecast, By Region
8.6.3. Market Analysis By Country
8.7. Healthcare
8.7.1. Key Market Trends, Growth Factors And Opportunities
8.7.2. Market Size And Forecast, By Region
8.7.3. Market Analysis By Country
8.8. Others
8.8.1. Key Market Trends, Growth Factors And Opportunities
8.8.2. Market Size And Forecast, By Region
8.8.3. Market Analysis By Country

Chapter 9: Predictive Maintenance Market, By Region
9.1. Overview
9.2. North America
9.2.1. Key Market Trends, Growth Factors And Opportunities
9.2.2. Market Size And Forecast, By Component
9.2.3. Market Size And Forecast, By Technique
9.2.4. Market Size And Forecast, By Deployment Type
9.2.5. Market Size And Forecast, By Stakeholders
9.2.6. Market Size And Forecast, By Industry Vertical
9.2.7. Market Analysis By Country
9.2.7.1. U.S.
9.2.7.1.1. Market Size And Forecast, By Component
9.2.7.1.2. Market Size And Forecast, By Technique
9.2.7.1.3. Market Size And Forecast, By Deployment Type
9.2.7.1.4. Market Size And Forecast, By Stakeholders
9.2.7.1.5. Market Size And Forecast, By Industry Vertical
9.2.7.2. Canada
9.2.7.2.1. Market Size And Forecast, By Component
9.2.7.2.2. Market Size And Forecast, By Technique
9.2.7.2.3. Market Size And Forecast, By Deployment Type
9.2.7.2.4. Market Size And Forecast, By Stakeholders
9.2.7.2.5. Market Size And Forecast, By Industry Vertical
9.3. Europe
9.3.1. Key Market Trends, Growth Factors And Opportunities
9.3.2. Market Size And Forecast, By Component
9.3.3. Market Size And Forecast, By Technique
9.3.4. Market Size And Forecast, By Deployment Type
9.3.5. Market Size And Forecast, By Stakeholders
9.3.6. Market Size And Forecast, By Industry Vertical
9.3.7. Market Analysis By Country
9.3.7.1. Germany
9.3.7.1.1. Market Size And Forecast, By Component
9.3.7.1.2. Market Size And Forecast, By Technique
9.3.7.1.3. Market Size And Forecast, By Deployment Type
9.3.7.1.4. Market Size And Forecast, By Stakeholders
9.3.7.1.5. Market Size And Forecast, By Industry Vertical
9.3.7.2. France
9.3.7.2.1. Market Size And Forecast, By Component
9.3.7.2.2. Market Size And Forecast, By Technique
9.3.7.2.3. Market Size And Forecast, By Deployment Type
9.3.7.2.4. Market Size And Forecast, By Stakeholders
9.3.7.2.5. Market Size And Forecast, By Industry Vertical
9.3.7.3. UK
9.3.7.3.1. Market Size And Forecast, By Component
9.3.7.3.2. Market Size And Forecast, By Technique
9.3.7.3.3. Market Size And Forecast, By Deployment Type
9.3.7.3.4. Market Size And Forecast, By Stakeholders
9.3.7.3.5. Market Size And Forecast, By Industry Vertical
9.3.7.4. Italy
9.3.7.4.1. Market Size And Forecast, By Component
9.3.7.4.2. Market Size And Forecast, By Technique
9.3.7.4.3. Market Size And Forecast, By Deployment Type
9.3.7.4.4. Market Size And Forecast, By Stakeholders
9.3.7.4.5. Market Size And Forecast, By Industry Vertical
9.3.7.5. Rest of Europe
9.3.7.5.1. Market Size And Forecast, By Component
9.3.7.5.2. Market Size And Forecast, By Technique
9.3.7.5.3. Market Size And Forecast, By Deployment Type
9.3.7.5.4. Market Size And Forecast, By Stakeholders
9.3.7.5.5. Market Size And Forecast, By Industry Vertical
9.4. Asia-Pacific
9.4.1. Key Market Trends, Growth Factors And Opportunities
9.4.2. Market Size And Forecast, By Component
9.4.3. Market Size And Forecast, By Technique
9.4.4. Market Size And Forecast, By Deployment Type
9.4.5. Market Size And Forecast, By Stakeholders
9.4.6. Market Size And Forecast, By Industry Vertical
9.4.7. Market Analysis By Country
9.4.7.1. Japan
9.4.7.1.1. Market Size And Forecast, By Component
9.4.7.1.2. Market Size And Forecast, By Technique
9.4.7.1.3. Market Size And Forecast, By Deployment Type
9.4.7.1.4. Market Size And Forecast, By Stakeholders
9.4.7.1.5. Market Size And Forecast, By Industry Vertical
9.4.7.2. China
9.4.7.2.1. Market Size And Forecast, By Component
9.4.7.2.2. Market Size And Forecast, By Technique
9.4.7.2.3. Market Size And Forecast, By Deployment Type
9.4.7.2.4. Market Size And Forecast, By Stakeholders
9.4.7.2.5. Market Size And Forecast, By Industry Vertical
9.4.7.3. India
9.4.7.3.1. Market Size And Forecast, By Component
9.4.7.3.2. Market Size And Forecast, By Technique
9.4.7.3.3. India Size And Forecast, By Deployment Type
9.4.7.3.4. Market Size And Forecast, By Stakeholders
9.4.7.3.5. Market Size And Forecast, By Industry Vertical
9.4.7.4. South Korea
9.4.7.4.1. Market Size And Forecast, By Component
9.4.7.4.2. Market Size And Forecast, By Technique
9.4.7.4.3. Market Size And Forecast, By Deployment Type
9.4.7.4.4. Market Size And Forecast, By Stakeholders
9.4.7.4.5. Market Size And Forecast, By Industry Vertical
9.4.7.5. Rest of Asia-Pacific
9.4.7.5.1. Market Size And Forecast, By Component
9.4.7.5.2. Market Size And Forecast, By Technique
9.4.7.5.3. Market Size And Forecast, By Deployment Type
9.4.7.5.4. Market Size And Forecast, By Stakeholders
9.4.7.5.5. Market Size And Forecast, By Industry Vertical
9.5. LAMEA
9.5.1. Key Market Trends, Growth Factors And Opportunities
9.5.2. Market Size And Forecast, By Component
9.5.3. Market Size And Forecast, By Technique
9.5.4. Market Size And Forecast, By Deployment Type
9.5.5. Market Size And Forecast, By Stakeholders
9.5.6. Market Size And Forecast, By Industry Vertical
9.5.7. Market Analysis By Country
9.5.7.1. Latin America
9.5.7.1.1. Market Size And Forecast, By Component
9.5.7.1.2. Market Size And Forecast, By Technique
9.5.7.1.3. Market Size And Forecast, By Deployment Type
9.5.7.1.4. Market Size And Forecast, By Stakeholders
9.5.7.1.5. Market Size And Forecast, By Industry Vertical
9.5.7.2. Middle East
9.5.7.2.1. Market Size And Forecast, By Component
9.5.7.2.2. Market Size And Forecast, By Technique
9.5.7.2.3. Market Size And Forecast, By Deployment Type
9.5.7.2.4. Market Size And Forecast, By Stakeholders
9.5.7.2.5. Market Size And Forecast, By Industry Vertical
9.5.7.3. Africa
9.5.7.3.1. Market Size And Forecast, By Component
9.5.7.3.2. Market Size And Forecast, By Technique
9.5.7.3.3. Market Size And Forecast, By Deployment Type
9.5.7.3.4. Market Size And Forecast, By Stakeholders
9.5.7.3.5. Market Size And Forecast, By Industry Vertical

Chapter 10: Company Profiles
10.1. Asystom
10.1.1. Company Overview
10.1.2. Key Executives
10.1.3. Company Snapshot
10.1.4. Product Portfolio
10.1.5. Key Strategic Moves And Developments
10.2. C3.Ai, Inc.
10.2.1. Company Overview
10.2.2. Key Executives
10.2.3. Company Snapshot
10.2.4. Product Portfolio
10.2.5. Key Strategic Moves And Developments
10.3. Engineering Consultants Group, Inc.
10.3.1. Company Overview
10.3.2. Key Executives
10.3.3. Company Snapshot
10.3.4. Product Portfolio
10.3.5. Key Strategic Moves And Developments
10.4. Expert Microsystems, Inc.
10.4.1. Company Overview
10.4.2. Key Executives
10.4.3. Company Snapshot
10.4.4. Product Portfolio
10.5. Fiix Inc.
10.5.1. Company Overview
10.5.2. Key Executives
10.5.3. Company Snapshot
10.5.4. Product Portfolio
10.5.5. Key Strategic Moves And Developments
10.6. Operational Excellence (Opex) Group Ltd
10.6.1. Company Overview
10.6.2. Key Executives
10.6.3. Company Snapshot
10.6.4. Product Portfolio
10.6.5. Key Strategic Moves And Developments
10.7. Sigma Industrial Precision
10.7.1. Company Overview
10.7.2. Key Executives
10.7.3. Company Snapshot
10.7.4. Product Portfolio
10.8. Spark Cognition
10.8.1. Company Overview
10.8.2. Key Executives
10.8.3. Company Snapshot
10.8.4. Product Portfolio
10.8.5. Key Strategic Moves And Developments
10.9. Tibco Software Inc.
10.9.1. Company Overview
10.9.2. Key Executives
10.9.3. Company Snapshot
10.9.4. Product Portfolio
10.9.5. Key Strategic Moves And Developments
10.10. Uptake Technologies Inc.
10.10.1. Company Overview
10.10.2. Key Executives
10.10.3. Company Snapshot
10.10.4. Product Portfolio
10.10.5. Key Strategic Moves And Developments
10.11. General Electric
10.11.1. Company Overview
10.11.2. Key Executives
10.11.3. Company Snapshot
10.11.4. Operating Business Segments
10.11.5. Product Portfolio
10.11.6. Business Performance
10.11.7. Key Strategic Moves And Developments
10.12. Hitachi, Ltd.
10.12.1. Company Overview
10.12.2. Key Executives
10.12.3. Company Snapshot
10.12.4. Operating Business Segments
10.12.5. Product Portfolio
10.12.6. R&D Expenditure
10.12.7. Business Performance
10.12.8. Key Strategic Moves And Developments
10.13. International Business Machines Corporation (Ibm)
10.13.1. Company Overview
10.13.2. Key Executives
10.13.3. Company Snapshot
10.13.4. Operating Business Segments
10.13.5. Product Portfolio
10.13.6. R&D Expenditure
10.13.7. Business Performance
10.13.8. Key Strategic Moves And Developments
10.14. Microsoft Corporation
10.14.1. Company Overview
10.14.2. Key Executives
10.14.3. Company Snapshot
10.14.4. Operating Business Segments
10.14.5. Product Portfolio
10.14.6. R&D Expenditure
10.14.7. Business Performance
10.14.8. Key Strategic Moves And Developments
10.15. Ptc Inc.
10.15.1. Company Overview
10.15.2. Key Executives
10.15.3. Company Snapshot
10.15.4. Operating Business Segments
10.15.5. Product Portfolio
10.15.6. R&D Expenditure
10.15.7. Business Performance
10.15.8. Key Strategic Moves And Developments
10.16. Sap
10.16.1. Company Overview
10.16.2. Key Executives
10.16.3. Company Snapshot
10.16.4. Operating Business Segments
10.16.5. Product Portfolio
10.16.6. R&D Expenditure
10.16.7. Business Performance
10.16.8. Key Strategic Moves And Developments
10.17. Sas Institute Inc.
10.17.1. Company Overview
10.17.2. Key Executives
10.17.3. Company Snapshot
10.17.4. Product Portfolio
10.17.5. Key Strategic Moves And Developments
10.18. Schneider Electric Se
10.18.1. Company Overview
10.18.2. Key Executives
10.18.3. Company Snapshot
10.18.4. Operating Business Segments
10.18.5. Product Portfolio
10.18.6. R&D Expenditure
10.18.7. Business Performance
10.18.8. Key Strategic Moves And Developments
10.19. Software Ag
10.19.1. Company Overview
10.19.2. Key Executives
10.19.3. Company Snapshot
10.19.4. Operating Business Segments
10.19.5. Product Portfolio
10.19.6. R&D Expenditure
10.19.7. Business Performance
10.19.8. Key Strategic Moves And Developments
Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Asystom
  • Expert MicrosystemsInc.
  • General Electric
  • IBM Corporation
  • PTC Inc.
  • SAS Institute Inc.
  • MORE
According to the report titled,'Predictive Maintenance Market by Component, Technique, Deployment Type, Stakeholder, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2019-2026,' the global predictive maintenance market was valued at $2,804.38 million in 2018 and is projected to reach $23,014.7 million by 2026, growing at a CAGR of 30.20% from 2019 to 2026.

Predictive maintenance facilitates multiple advantages such as reduction in downtime, prolonging equipment life, improvement in plant safety, optimizing spare parts inventory, reduction of maintenance costs, better yield rate, optimization of maintenance schedule, and enhancement of asset availability. Rise in need of improving uptime of the equipment, reduction of costs & quality risks, and extending life of assets are the factors that majorly drive the predictive maintenance market growth. In addition, rise in investment on prediction maintenance due to adoption of IoT also drives the market growth. Use of machine learning for predictive maintenance 4.0 offerings is expected to offer lucrative opportunities for predictive maintenance market size during the forecast period.

The on-premise segment dominated the predictive maintenance industry in 2018 and is projected to maintain its dominance during the forecast period, as it is considered more secure and reliable, as the entire software is installed on the organization’s premises. Furthermore, the cloud-based segment is expected to grow at a significant CAGR during the forecast period, owing to key benefits for businesses such as low cost, ease of implementation, and unlimited accessibility. The application of the Industrial Internet of Things (IIoT), AI and machine learning to predictive maintenance 4.0 is an essential part of Industry 4.0. Manufacturers are adopting advanced analytics, big data, and the cloud owing to the need to complete their transformational journey to Industry 4.0. This is further anticipated to boost the growth of this segment during the forecast period

The global predictive maintenance market was led by the manufacturing segment in 2018 and is projected to maintain its dominance during the forecast period. However, the healthcare segment is expected to witness the highest growth rate, as recent trends in healthcare are enforcing healthcare providers to maintain a high degree of profitability and innovation due to which medical technology and medical device manufacturers have started to adopt predictive maintenance approaches.

Based on region, the global predictive maintenance market was dominated by North America in 2018 and is expected to maintain this trend during the forecast period. The major factors driving the growth of the market in this region include high technological investments in maintenance, and presence of large number of key players in the region. However, Asia-Pacific is expected to witness the highest growth, owing to growing manufacturing and oil & gas industry, and increase in ICT spending across the developing countries such as China, India, and Japan, in the region.

Key Findings of the Predictive Maintenance Market :

Based on component, the software segment led the predictive maintenance market size in terms of revenue in 2018.
By technique, the vibration monitoring accounted for the highest predictive maintenance market share in 2018.
Based on region, North America generated the highest revenue in 2018.
Depending on industry vertical, the healthcare segment is anticipated to exhibit substantial growth during the forecast period.
Based on region, Asia-Pacific is anticipated to exhibit substantial growth during the forecast period.

The global predictive maintenance market analysis includes some of the key market players such as IBM, Microsoft, SAP, General Electric, Schneider Electric, Hitachi, PTC, Software AG, SAS, Engineering Consultants Group, Inc., Expert Microsystems, Inc., SparkCognition, C3 IoT, Uptake Technologies Inc., Fiix Inc., Operational Excellence (Opex) Group Ltd, TIBCO Software Inc., Asystom, and Sigma Industrial Precision.
Note: Product cover images may vary from those shown
  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • General Electric
  • Schneider Electric
  • Hitachi Ltd.
  • PTC Inc.
  • Software AG
  • SAS Institute Inc.
  • Engineering Consultants GroupInc.
  • Expert MicrosystemsInc.
  • SparkCognition
  • C3.aiInc.
  • Uptake Technologies Inc.
  • Fiix Inc.
  • Operational Excellence (Opex) Group Ltd
  • TIBCO Software Inc.
  • Asystom
  • Sigma Industrial Precision.
Note: Product cover images may vary from those shown

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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