According to TechSci Research latest Report- Global predictive maintenance market is expected to grow at a formidable rate during the forecast period. Predictive maintenance has given an edge to the companies as they can predict the condition of in-service equipment and can also predict the estimated time for maintenance, which prevents any untimely breakdown that may result in operational income losses. Report URL- https://www.techsciresearch.com/report/global-predictive-maintenance-market/1328.html #Marketresearch #Consulting #Marketresearchreport #consultingfirm

1. MARKET INTELLIGENCE . CONSULTING
www.techsciresearch.com
GLOBAL PREDICTIVE MAINTENANCE MARKET
FORECAST & OPPORTUNITIES
2015 – 2025

2. 2
Scope of Report
Product of Interest (POI): Predictive Maintenance
Review Period
2015 – 2018
Base Year
2019
Estimated Year
2020
Forecast Period
2021 – 2025
Year RangeREGION
• Asia-Pacific
• Europe
• North America
• South
America
• Middle East &
Africa
Global predictive maintenance market is expected to grow at a formidable rate during the forecast
period. Predictive maintenance has given an edge to the companies as they can predict the
condition of in-service equipment, and can also predict the estimated time for maintenance, which
prevents any untimely breakdown that may result in operational income losses. Growing
industrialisation, increasing use of technologically advanced machines and equipment, rising
focus towards reducing the operational costs and surging competition have paved the way for
predictive maintenance, globally.
Market Segmentation
COMPONENT
• Service
• Solutions
• On Premise
• Cloud
TECHNIQUE
DEPLOYMENT
MODE
• Vibration Monitoring
• Electrical Testing
• Oil Analysis
• Ultrasonic Leak
Detectors
• Shock Pulse
• Infrared
• Others END USER
• Manufacturing
• Energy & Utilities
• Transportation
• Government &
Defense
• Healthcare
• Others

3. 3
Table of Contents
S. No. Contents Page No.
1. Product Overview
2. Research Methodology
3. Impact of COVID-19 on Global Predictive Maintenance Market
4. Executive Summary
5. Voice of Customer
6. Global Predictive Maintenance Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component (Service Vs. Solutions)
6.2.2.
By Technique (Vibration Monitoring, Electrical Testing, Oil Analysis, Ultrasonic Leak
Detectors, Shock Pulse, Infrared, Others)
6.2.3. By Deployment Mode (On Premise Vs Cloud)
6.2.4.
By End User (Manufacturing, Energy & Utilities, Transportation, Government & Defense, Healthcare, and
Others)
6.2.5 By Company (2019)
6.2.6. By Region (Asia-Pacific, Europe, North America, South America and Middle East & Africa)
6.3. Product Market Map

4. 4
Table of Contents
S. No. Contents Page No.
7. Asia-Pacific Predictive Maintenance Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Technique
7.2.3. By Deployment Mode
7.2.4. By End User
7.2.5. By Country (China, India, Japan, South Korea, Australia)
7.3. Asia-Pacific: Country Analysis
7.3.1. China Predictive Maintenance Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Component
7.3.1.2.2. By Technique
7.3.1.2.3. By Deployment Mode
7.3.1.2.4. By End User

5. 5
Table of Contents
S. No. Contents Page No.
7.3.2. India Predictive Maintenance Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Component
7.3.2.2.2. By Technique
7.3.2.2.3. By Deployment Mode
7.3.2.2.4. By End User
7.3.3. Japan Predictive Maintenance Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Component
7.3.3.2.2. By Technique
7.3.3.2.3. By Deployment Mode
7.3.3.2.4. By End User
7.3.4. South Korea Predictive Maintenance Market Outlook

6. 6
Table of Contents
S. No. Contents Page No.
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Component
7.3.4.2.2. By Technique
7.3.4.2.3. By Deployment Mode
7.3.4.2.4. By End User
7.3.5. Australia Predictive Maintenance Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Component
7.3.5.2.2. By Technique
7.3.5.2.3. By Deployment Mode
7.3.5.2.4. By End User
8. Europe Predictive Maintenance Market Outlook

7. 7
Table of Contents
S. No. Contents Page No.
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Technique
8.2.3. By Deployment Mode
8.2.4. By End User
8.2.5. By Country (France, Germany, United Kingdom, Italy, Spain)
8.3. Europe: Country Analysis
8.3.1. France Predictive Maintenance Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Component
8.3.1.2.2. By Technique
8.3.1.2.3. By Deployment Mode

8. 8
Table of Contents
S. No. Contents Page No.
8.3.1.2.4. By End User
8.3.2. Germany Predictive Maintenance Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Component
8.3.2.2.2. By Technique
8.3.2.2.3. By Deployment Mode
8.3.2.2.4. By End User
8.3.3. United Kingdom Predictive Maintenance Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Component
8.3.3.2.2. By Technique
8.3.3.2.3. By Deployment Mode
8.3.3.2.4. By End User

9. 9
Table of Contents
S. No. Contents Page No.
8.3.4. Italy Predictive Maintenance Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Component
8.3.4.2.2. By Technique
8.3.4.2.3. By Deployment Mode
8.3.4.2.4. By End User
8.3.5. Spain Predictive Maintenance Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Component
8.3.5.2.2. By Technique
8.3.5.2.3. By Deployment Mode
8.3.5.2.4. By End User
9. North America Predictive Maintenance Market Outlook
9.1. Market Size & Forecast

10. 10
Table of Contents
S. No. Contents Page No.
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Technique
9.2.3. By Deployment Mode
9.2.4. By End User
9.2.5. By Country (United States, Canada, Mexico)
9.3. North America: Country Analysis
9.3.1. United States Predictive Maintenance Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Component
9.3.1.2.2. By Technique
9.3.1.2.3. By Deployment Mode
9.3.1.2.4. By End User
9.3.2. Canada Predictive Maintenance Market Outlook

11. 11
Table of Contents
S. No. Contents Page No.
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Component
9.3.2.2.2. By Technique
9.3.2.2.3. By Deployment Mode
9.3.2.2.4. By End User
9.3.3. Mexico Predictive Maintenance Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Component
9.3.3.2.2. By Technique
9.3.3.2.3. By Deployment Mode
9.3.3.2.4. By End User
10. South America Predictive Maintenance Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast

12. 12
Table of Contents
S. No. Contents Page No.
10.2.1. By Component
10.2.2. By Technique
10.2.3. By Deployment Mode
10.2.4. By End User
10.2.5. By Country (Brazil, Argentina, Colombia)
10.3. South America: Country Analysis
10.3.1. Brazil Predictive Maintenance Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1 By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Component
10.3.1.2.2. By Technique
10.3.1.2.3. By Deployment Mode
10.3.1.2.4. By End User
10.3.2. Argentina Predictive Maintenance Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1 By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Component
10.3.2.2.2. By Technique
10.3.2.2.3. By Deployment Mode

13. 13
Table of Contents
S. No. Contents Page No.
10.3.2.2.4. By End User
10.3.3. Colombia Predictive Maintenance Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1 By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Component
10.3.2.2.2. By Technique
10.3.2.2.3. By Deployment Mode
10.3.2.2.4. By End User
11. Middle East & Africa Predictive Maintenance Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Technique
11.2.3. By Deployment Mode
11.2.4. By End User
11.2.5. By Country (South Africa, Saudi Arabia, UAE)
11.3. Middle East & Africa : Country Analysis

14. 14
Table of Contents
S. No. Contents Page No.
11.3.1. South Africa Predictive Maintenance Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Component
11.3.1.2.2. By Technique
11.3.1.2.3. By Deployment Mode
11.3.1.2.4. By End User
11.3.2. Saudi Arabia Predictive Maintenance Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Component
11.3.2.2.2. By Technique
11.3.2.2.3. By Deployment Mode
11.3.2.2.4. By End User
11.3.3. UAE Predictive Maintenance Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value

15. 15
Table of Contents
S. No. Contents Page No.
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Component
11.3.3.2.2. By Technique
11.3.3.2.3. By Deployment Mode
11.3.3.2.4. By End User
12. Market Dynamics
12.1. Drivers
12.2. Challenges
13. Market Trends & Developments
14. Competitive Landscape
14.1. Competition Outlook
14.2. Global Players Profiled (Leading Companies)
15. Strategic Recommendations
16. About Us & Disclaimer

16. RESEARCHMETHODOLOGY

17. 17
Research Methodology
 Identifying Key Opinion
Leaders
 Questionnaire Design
 In-depth Interviews
Data
Collection
Developing List
of Respondents
Formulating
Questionnaire
Market
Profiling
Data
Validation
Data
Analysis
In-depth secondary
research was conducted to
determine top players in
the global predictive
maintenance market,
overall market size and
segmental market size.
In order to conduct
industry experts’
interviews, TechSci
formulated a detailed
discussion guide.
List of industry
players and industry
specialists was
developed.
TechSci conducted
interviews with
industry experts and
industry players for
data collection and
verification.
Data obtained as a
result of primary
and secondary
research was
validated through
rigorous
triangulation.
The data was scrutinized
using MS-Excel, statistical
tools and internal
proprietary database to
obtain qualitative and
quantitative insights about
the global predictive
maintenance market.
Data
Collection
Data Filter
& Analysis
Research &
Intelligence
Actionable
Insights
Business
Solution
Primary Research Desk Research Company Analysis
 Recent Developments
 Market Changing
Aspects/Dynamics
 Government Policies
 Conclusion
 Market Participants
 Key Strengths
 LinkedIn
 TechSci Internal
Database
 Factiva
 Hoovers
Paid Sources
 Company Websites
 Company Annual
Reports
 White Paper Study
 Financial Reports
 Investor
Presentations
 Regulatory Body
 Associations, etc.
Secondary
Research
Primary Research

18. 18
Research Methodology
Baseline Methodology
Our dedicated team of industry experts has monitored and analyzed various aspects of the global predictive maintenance market. The
segments of this market, while considering the major influencing factors such as increasing use of technologically advanced machines
forecasting, which would enable our clients to take better decisions while planning their strategy to achieve sustainability in the global
Methodology Followed for Calculation of Market Size:
• Market Size by Value: Market size, in terms of value, for the year 2019 was calculated based on information collected through
exhaustive secondary research and primary surveys, with various key opinion leaders/stakeholders, such as predictive maintenance
influencers & end users, industry experts, and other industry participants.
• The team interviewed more than 15 – 20 predictive maintenance companies, 100 – 120 end users, and 15 – 20 industry experts and
predictive maintenance market to obtain the overall market size from 2015 to 2019, which was validated by the Delphi technique.
market size was averaged out, to arrive at the market size data during 2015-2019.

19. 19
Research Methodology
• Respondents were asked about the current and future market growth rates, market shares by component, by technique, by deployment type, by end user, by company and by region.
Removing the outlier responses, the geometric mean of growth estimates and provider wise revenue shares generated across various segments were considered, to arrive at the
final revenue shares. Revenue shares generated across various segments were further triangulated from other stakeholders.
Methodology Followed for Calculation of Market Shares:
Market shares by component, by technique, by deployment type, by end user, by company and by region were calculated based on the responses received through primary surveys with
industry experts, in which the respondents were asked about the market shares or revenue generated from various segments of predictive maintenance markets. The final shares were
calculated by taking the geometric mean of the responses gathered from key opinion leaders after eliminating the outliers.
Methodology Followed for Forecasting:
• TechSci Research performed periodical checks on data collected through the surveys with logic checks and analyzed the survey results in SPSS/Tableau Software.
• Data triangulation techniques were applied to fill the gaps and to present a more meaningful picture of the market. To forecast global predictive maintenance market, TechSci
Research used various forecast techniques such as:
 Moving Average
 Time Series Analysis
 Regression Analysis
 Econometric and Judgmental Analysis

20. 20
Research Methodology
TechSci Research used its own forecast tool, which is based on the growth of various allied industries in respective regions. TechSci Research also used the impact analysis during
short, medium and long term period to estimate the demand and to reach accurate market numbers. It should be noted that the figures compiled are only for the organized market
including market share data. The currency used in the report is the United States Dollar (USD), with the market size indicated in USD million.
Partial List of Companies Interviewed Key Secondary Sources
 General Electric Company
 Siemens AG
 Microsoft Corporation
 International Business Machines (IBM) Corporation
 Emerson Electric Co.
 Bosch Software Innovations GmbH
 Dell Technologies, Inc.
 Honeywell International, Inc.
 Rockwell Automation, Inc.
 Schneider Electric
 Software AG
 SAS Institute Inc. (SAS)
 ABB Ltd
 C3 IOT
 Warwick Analytics
 World Bank
 TechSci Research Proprietary Database & Knowledge Repository
 Company Annual Reports
 Industry Magazines
 Industry Reports
 News Dailies
 Credible Paid Databases

21. 21
Industry Brief
According to TechSci Research report, “Global Predictive Maintenance Market By Component (Service Vs. Solutions), By Technique (Vibration
Monitoring, Electrical Testing, Oil Analysis, Ultrasonic Leak Detectors, Shock Pulse, Wear particle analysis, Infrared, Motor circuit and signature
analysis, and Others), By Deployment Type (On Premise Vs Cloud), By Organization Size (SMEs, Large Enterprises), By End User
(Manufacturing, Energy & Utilities, Transportation, Government & Défense, Healthcare, and Others), By Region, Forecast & Opportunities, 2025”,
global predictive maintenance market is anticipated to grow at a formidable CAGR during the forecast period. Predictive maintenance involves
practices to determine the condition of industry equipment to know when maintenance is required. This helps in efficient cost management and
reducing downtime as maintenance tasks are performed only when required. The market is gaining traction as more and more companies are
now taking leverage of the novel technologies such as artificial intelligence and machine learning in order to improve accuracy, speed and
precision. These solutions assist in informing on equipment failures before-hand. They also record consistent patterns to monitor proper
functioning of equipment, thereby increasing precision and efficacy. Furthermore, less equipment breakdown, longer life and durability, plant
safety are some of the desired goals of every industry due to which, the demand for predictive maintenance has witnessed a surge, thereby
fueling its market growth.
Global predictive maintenance market is fragmented on the basis of component, technique, deployment type, organization size, end user,
company and region. By deployment type, the market is further bifurcated into on premise and cloud out of which, on premise held a larger share
in the market in the year 2019 as it a more convenient and efficient method of deploying advanced technologies in industries. However, cloud is
expected to deliver maximum growth owing to the cost effectiveness, judicious utilization of resources, internal data handling and processing.
Some of the leading players in global predictive maintenance market include General Electric Company, Siemens AG, Microsoft Corporation,
International Business Machines (IBM) Corporation, Thales S.A., Bosch Software Innovations GmbH, Dell Technologies, Inc., PTC Inc.,
Honeywell International, Inc., Rockwell Automation, Inc., Schneider Electric SE, Software AG, SAS Institute Inc. (SAS) and many others. Launch
of new technologies and acquainting the industries with them is one of the several ways for the companies to expand their business. For
instance, March 2019 witnessed the launch of IIOT (Industrial Internet of Things) which utilizes advanced analytics and artificial intelligence
techniques for predictive maintenance. The technology solely focusses on reducing breakdowns of industrial apparatus such as turbines
transformers, elevators, etc.
“Based on regional analysis, North America is expected to dominate the global predictive maintenance market during the forecast period on
account of presence of ample number of public vendors. The region has a developed economy which aids the adoption and expansion of
advanced technologies, specifically machine learning. This has pushed the market towards growth. North America is followed by Europe by
virtue of increasing investments in the market by leading players. However, Asia-Pacific is expected to reflect a remarkable growth as most of the
economies in the region are emerging and are gradually adopting for advanced technologies.” said Mr. Karan Chechi, Research Director with
TechSci Research, a research based global management consulting firm.

22. 22
Sample Data - Snapshot
Global Predictive Maintenance Market Size, By Value (USD Million), 2015-2025F
5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00
2015 2019 2020E 2025
By Value (USD Million)CAGR BY VALUE: XX% CAGR BY VALUE: XX%
North America Predictive Maintenance Market Share, By Component, By Value, 2015–2025F
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
2015
2016
2017
2018
2019
2020E
2021F
2022F
2023F
2024F
2025F
Service Solutions
United States Predictive Maintenance Market Share, By Technique, By Value, 2015–2025F
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
14%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
15%
2015
2016
2017
2018
2019
2020E
2021F
2022F
2023F
2024F
2025F
Vibration Monitoring Electrical Testing Oil Analysis Ultrasonic Leak Detectors Shock Pulse Infrared Others

23. 23
Report Ordering
License Type Price
Electronic Access - Single User License $4450
Electronic Access - Multi-User License $5450
Custom Research License $9450
Report Price
To View Sample OR Purchase Report
Report Name: GLOBAL PREDICTIVE MAINTENANCE MARKET
FORECAST & OPPORTUNITIES
2015 – 2025

24. About Us & Disclaimer
TechSci Research is a global market research and consulting company with offices in the US, UK and India. TechSci Research provides market research reports in
number of areas to organizations. The company uses innovative business models that focus on improving productivity, while ensuring creation of high-quality
analyses of both industry-specific and macroeconomic variables on a state-by-state basis to produce a unique ‘bottom-up’ model of a country, regional and global
company activity and industry trends, the result is a uniquely rich evaluation of the opportunities available in the market.
Related Reports
• Germany Smart Parking Market By System, By Component (Parking Sensors, Others), By Sensor Technology (Ultrasonic Sensor, Others), By
Solution (Security & Surveillance, others), By Company and By Geography, Forecast & Opportunities, 2025
• Global Autonomous Underwater Vehicle Market By Vehicle Type (Shallow AUVs, Medium AUVs, etc.), By Technology (Collision Avoidance,
Navigation, etc.), By End User (Commercial, Military & Defence, etc.) & By Geography, Forecast & Opportunities, 2025
The contents of this report are based on information generally available to the public from sources believed to be reliable. No representation is made that it is timely,
accurate or complete. TechSci Research has taken due care and caution in compilation of data as this has been obtained from various sources including which it
considers reliable and firsthand. However, TechSci Research does not guarantee the accuracy, adequacy or completeness of any information and it is not responsible
for any errors or omissions or for the results obtained from the use of such information and especially states that it has no financial liability whatsoever to the
subscribers / users of this report. The information herein, together with all estimates and forecasts, can change without notice. All the figures provided in this
document are indicative of relative market size and are strictly for client’s internal consumption. Usage of the same for purpose other than internal will require prior
approval of TechSci Research.
TechSci Research – North America
708 Third Avenue, Manhattan,
New York, United States
Tel: +1- 646- 360- 1656
Email: sales@techsciresearch.com
www.techsciresearch.com
Disclaimer
TechSci Research – Europe
54, Old brook, Bretton,
Peterborough,
United Kingdom
Email: sales@techsciresearch.com
www.techsciresearch.com
TechSci Research – Asia-Pacific
B – 44, Sector – 57, Noida, National Capital
Region, U.P. - India
Tel: +91-120-4523900
Email: sales@techsciresearch.com
www.techsciresearch.com