According to #TechSci Research Report- The global predictive maintenance market was valued at USD4.270 billion in 2020 and is projected to grow around USD22.429 billion by 2026 due to the proliferation of industry 4.0, wireless communication, rising artificial intelligence, machine learning, and IoT are expected to drive industry growth in the forecast period. Report URL : https://www.techsciresearch.com/report/global-predictive-maintenance-market/1328.html #marketresearch #consultingfirms #marketintelligence

1. MARKET INTELLIGENCE . CONSULTING
www.techsciresearch.com
2016 – 2026
GLOBAL PREDICTIVE MAINTENANCE MARKET
FORECAST & OPPORTUNITIES

2. 2
Scope of Report
Product of Interest (POI): Predictive Maintenance
Review Period
2016 – 2019
Base Year
2020
Estimated Year
2021
Forecast Period
2022 – 2026
Year Range
REGION
• Asia-Pacific
• Europe
• North America
• South America
• Middle East & Africa
(MEA)
Predictive maintenance refers to the use of data-driven, proactive maintenance
methods that are designed to analyze the condition of equipment and help predict
when maintenance should be performed.
Market Segmentation
DEPLOYMENT
• On-Premise
• Cloud
ORGANIZATION SIZE
• SME
• Large Enterprise
END USER
• Aerospace and Defense
• Energy and Infrastructure
• Logistics & Transportation
• Manufacturing
• Oil and Gas
• Automotive
• Retail and Ecommerce
• Others
COMPONEENT
• Service
• Solution
TESTING TYPE
• Vibration Analysis
• Power System Assessment
• Infrared Thermal Inspection
• Insulating Fluid Analysis
• Circuit Monitoring Analysis
• Automotive
• Retail and Ecommerce
• Others

3. 3
Table of Contents
S. No. Contents Page No.
1.
Product Overview (A brief description of the category and product inclusions considered under the
scope of the study to give clear picture to the client about the product of interest.)
2.
Research Methodology (Detailed description of the methodology used to conduct the research, Raw
data backup, list of all secondary sources, List of respondents for primary surveys)
3. Impact of COVID-19 on Global Predictive Maintenance Market
4. Executive Summary
5. Voice of Customer
5.1. Predictive Maintenance Usage Percent Share, By Component of Industrial Asset
5.2. Predictive Maintenance Usage Percent Share, By Component of Deployment
5.3. Satisfaction Score - Existing Predictive Maintenance Software
5.4. Percent Usage Share, By Component of Predictive Maintenance Software
6.
Global Predictive Maintenance Market Outlook, 2016-2026F (This chapter includes a brief
overview of the product of interest market such as total market’s growth rate, expected growth rate,
key growth levers, leading region, top grossing product types, etc. It includes more of a qualitative
information about the market.)
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component (Service, Solution)
6.2.2.
By Testing Type (Vibration Analysis, Power System Assessment, Infrared Thermal Inspection,
Insulating Fluid Analysis, Circuit Monitoring Analysis, Automotive, Retail and Ecommerce, Others)
6.2.3. By Deployment (On-Premise, Cloud)
6.2.4. By Organization Size (SME, Large Enterprise)
6.2.5.
By End User (Aerospace and Defense, Energy and Infrastructure, Logistics & Transportation,
Manufacturing, Oil and Gas, Automotive, Retail and Ecommerce, Others)
6.2.6. By Company (2020)
6.2.7. By Region
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 Testing Type
7.2.3. By Deployment
7.2.4. By Organization Size
7.2.5. By End User
7.2.6. By Country
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 Testing Type
7.3.1.2.3. By Deployment
7.3.1.2.4. By Organization Size
7.3.1.2.5. By End User

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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 Testing Type
7.3.2.2.3. By Deployment
7.3.2.2.4. By Organization Size
7.3.2.2.5. By End User
7.3.3. Australia 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 Testing Type
7.3.3.2.3. By Deployment
7.3.3.2.4. By Organization Size
7.3.3.2.5. By End User

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7.3.4. Japan Predictive Maintenance Market Outlook
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 Testing Type
7.3.4.2.3. By Deployment
7.3.4.2.4. By Organization Size
7.3.4.2.5. By End User
7.3.5. South Korea 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 Testing Type
7.3.5.2.3. By Deployment
7.3.5.2.4. By Organization Size
7.3.5.2.5. By End User

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7.3.6. Singapore Predictive Maintenance Market Outlook
7.3.6.1. Market Size & Forecast
7.3.6.1.1. By Value
7.3.6.2. Market Share & Forecast
7.3.6.2.1. By Component
7.3.6.2.2. By Testing Type
7.3.6.2.3. By Deployment
7.3.6.2.4. By Organization Size
7.3.6.2.5. By End User
7.3.7. Vietnam Predictive Maintenance Market Outlook
7.3.7.1. Market Size & Forecast
7.3.7.1.1. By Value
7.3.7.2. Market Share & Forecast
7.3.7.2.1. By Component
7.3.7.2.2. By Testing Type
7.3.7.2.3. By Deployment
7.3.7.2.4. By Organization Size
7.3.7.2.5. By End User

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8. Europe Predictive Maintenance Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Testing Type
8.2.3. By Deployment
8.2.4. By Organization Size
8.2.5. By End User
8.2.6. By Country
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 Testing Type
8.3.1.2.3. By Deployment
8.3.1.2.4. By Organization Size
8.3.1.2.5. By End User

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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 Testing Type
8.3.2.2.3. By Deployment
8.3.2.2.4. By Organization Size
8.3.2.2.5. 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 Testing Type
8.3.3.2.3. By Deployment
8.3.3.2.4. By Organization Size
8.3.3.2.5. By End User

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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 Testing Type
8.3.4.2.3. By Deployment
8.3.4.2.4. By Organization Size
8.3.4.2.5. By End User
8.3.5. Russia 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 Testing Type
8.3.5.2.3. By Deployment
8.3.5.2.4. By Organization Size
8.3.5.2.5. By End User

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9. North America Predictive Maintenance Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Testing Type
9.2.3. By Deployment
9.2.4. By Organization Size
9.2.5. By End User
9.2.6. By Country
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 Testing Type
9.3.1.2.3. By Deployment
9.3.1.2.4. By Organization Size
9.3.1.2.5. By End User

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9.3.2. Mexico Predictive Maintenance Market Outlook
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 Testing Type
9.3.2.2.3. By Deployment
9.3.2.2.4. By Organization Size
9.3.2.2.5. By End User
9.3.3. Canada 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 Testing Type
9.3.3.2.3. By Deployment
9.3.3.2.4. By Organization Size
9.3.3.2.5. By End User

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10. South America Predictive Maintenance Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Testing Type
10.2.3. By Deployment
10.2.4. By Organization Size
10.2.5. By End User
10.2.6. By Country
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 Testing Type
10.3.1.2.3. By Deployment
10.3.1.2.4. By Organization Size
10.3.1.2.5. By End User

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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 Testing Type
10.3.2.2.3. By Deployment
10.3.2.2.4. By Organization Size
10.3.2.2.5. 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
10.3.3.2.2. By Testing Type
10.3.3.2.3. By Deployment
10.3.3.2.4. By Organization Size
10.3.3.2.5. By End User

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10.3.4. Chile Predictive Maintenance Market Outlook
10.3.4.1. Market Size & Forecast
10.3.4.1.1. By Value
10.3.4.2. Market Share & Forecast
10.3.4.2.1. By Component
10.3.4.2.2. By Testing Type
10.3.4.2.3. By Deployment
10.3.4.2.4. By Organization Size
10.3.4.2.5. 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 Testing Type
11.2.3. By Deployment
11.2.4. By Organization Size
11.2.5. By End User
11.2.6. By Country
11.3. MEA: Country Analysis

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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 Testing Type
11.3.1.2.3. By Deployment
11.3.1.2.4. By Organization Size
11.3.1.2.5. 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 Testing Type
11.3.2.2.3. By Deployment
11.3.2.2.4. By Organization Size
11.3.2.2.5. By End User

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11.3.3. UAE Predictive Maintenance Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Component
11.3.3.2.2. By Testing Type
11.3.3.2.3. By Deployment
11.3.3.2.4. By Organization Size
11.3.3.2.5. By End User
11.3.4. Turkey Predictive Maintenance Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Component
11.3.4.2.2. By Testing Type
11.3.4.2.3. By Deployment
11.3.4.2.4. By Organization Size
11.3.4.2.5. By End User

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11.3.5. Egypt Predictive Maintenance Market Outlook
11.3.5.1. Market Size & Forecast
11.3.5.1.1. By Value
11.3.5.2. Market Share & Forecast
11.3.5.2.1. By Component
11.3.5.2.2. By Testing Type
11.3.5.2.3. By Deployment
11.3.5.2.4. By Organization Size
11.3.5.2.5. By End User
11.3.6. Nigeria Predictive Maintenance Market Outlook
11.3.6.1. Market Size & Forecast
11.3.6.1.1. By Value
11.3.6.2. Market Share & Forecast
11.3.6.2.1. By Component
11.3.6.2.2. By Testing Type
11.3.6.2.3. By Deployment
11.3.6.2.4. By Organization Size
11.3.6.2.5. By End User

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Table of Contents
S. No. Contents Page No.
12. Market Dynamics (This chapter assesses the major demand drivers and restraints.)
12.1. Drivers/Opportunities
12.2. Challenges/Pitfalls
13.
Market Trends & Developments (This section captures recent trends pertaining to manufacturing or
consumption, market movements in terms of points of production and consumption, advancements
and development)
14. Competitive Landscape
14.1. Company Profiles
14.1.1. Company Details
14.1.2. Products & Services
14.1.3. Financials (As Reported)
14.1.4. Key Market Focus & Geographical Presence
14.1.5. Recent Developments
14.1.6. Key Management Personnel
15.
Strategic Recommendations (Based on the findings of the report strategic recommendations on how to enter and
expand market share)
16. About Us & Disclaimer

20. RESEARCH
METHODOLOGY

21. 21
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

22. 22
Research Methodology
Baseline Methodology
Our dedicated team of industry experts has monitored and analyzed various aspects of the global predictive maintenance market. The team
has analyzed the outlook of various segments of this market, while considering the major influencing factors such as growing need for greater
operational reliability, lower maintenance costs, and increased safety, and stringent safety regulations. The study includes market forecasting,
which would enable our clients to take better decisions while planning their strategy to achieve sustainability in the global predictive
maintenance market.
Methodology Followed for Calculation of Market Size:
• Market Size by Value: Market size, in terms of value, for the year 2020 was calculated based on information collected through exhaustive
secondary research and primary surveys, with various key opinion leaders/stakeholders, such as predictive maintenance companies,
channel partners, market 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 other
value chain stakeholders in the global predictive maintenance market to obtain the overall market size from 2016 to 2020, which was
validated by the Delphi technique. Taking standard deviation into consideration, the market size was averaged out, to arrive at the market
size data during 2016-2020.

23. 23
Research Methodology
• Respondents were asked about the current and future market growth rates, market shares by component, by testing type, by deployment,
by organization, 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 testing type, by deployment, by organization, 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

24. 24
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
▪ Schneider Electric SE
▪ Hitachi Technologies Co Ltd
▪ IBM Corporation
▪ Siemens AG
▪ Bosch Software Innovations GmbH
▪ Microsoft Corporation
▪ TIBCO Software Inc.
▪ C3 Inc.
▪ SAP SE
▪ Software AG
▪ PTC Inc.
▪ General Electric Company
▪ Rockwell Automation Inc.
▪ Honeywell International Inc.
▪ Fujitsu Ltd
▪ World Bank
▪ TechSci Research Proprietary Database & Knowledge
Repository
▪ Company Annual Reports
▪ Industry Magazines
▪ Industry Reports
▪ News Dailies
▪ Credible Paid Databases

25. 25
Industry Brief
According to TechSci Research report, “Global Predictive Analytics And Maintenance In Supply Chain Market By Component (Solutions, Services
(Managed Services, Professional Services)) By Deployment (On-Premises, Cloud) By Application (Inventory Management, Predictive
Maintenance, Predictive Route Planning, Demand Forecasting, Others) By Organisation Size (Large Enterprises, SMEs) By End-Use Industry
(Retail, Manufacturing, Aviation, Healthcare, Energy and Power, Others) By Company, By Region, Forecast & Opportunities, 2026”, the global
predictive analytics and maintenance in supply chain market are expected to witness significant growth in the forecast period. In predictive
analytics and maintenance in supply chain, the structured and unstructured data is analyzed to predict the market uncertainties Surge in the use
of emerging technologies to gain informed insights and the need of organizations to lower the cost and time. The management of the asset of
an organization is a crucial step that is required in all the verticals. Organizations are using predictive analytics technology in the supply chain for
various works including supply chain design, inventory management, demand forecasting, predictive route planning, predictive maintenance,
amongst others to optimize the flow in the supply chain.
The COVID-19 outbreak across the world which has been declared as a pandemic by World Health Organization has affected several countries
adversely. Coronavirus-affected patients started suffering from shortness of breath along with coughing and sneezing. Leading authorities
around the globe imposed lockdown restrictions and released a set of precautionary measures to contain the spread of novel coronavirus.
Companies provided the facility of work from home to employees and started taking conference meetings and calls with the help of online
platforms. The use of e-commerce websites and mobile applications witnessed strong growth during this period. The restrictions imposed on
the import and export activities adversely impacted the predictive analysis and maintenance in supply chain market growth during this period.
Global predictive analytics and maintenance in supply chain market are segmented into component, deployment, application, end-use industry,
regional distribution, and company. Based on the application, the market can be divided into inventory management, predictive maintenance,
predictive route planning, demand forecasting, and others. The predictive maintenance segment is expected to witness growth in the forecast
period, 2021-2026. Organizations are using advanced technologies such as artificial intelligence and machine learning technology to achieve
speed, precision over the traditional business tools and aids in maintaining the supply chain smoothly. With the help of predictive maintenance,
enterprises can make smart decisions and can eliminate the occurrence of wastage of time and resources to a greater extent. Artificial
intelligence IoT solutions enable organizations to predict the occurrence of equipment failure ahead of time and thereby assist the organizations
to prepare themselves accordingly.
IBM Corporation, Microsoft Corporation, SAP SE, General Electric Company, Schneider Electric SE, Google LLC, Oracle Corporation, Hewlett
Packard Enterprises Co., SAS Institute Inc., TIBCO Software Inc., Siemens AG, Robert Bosch GmbH, Cisco Systems, Inc., Dell, Inc., Intel
Corporation are the leading players operating in global predictive analytics and maintenance in supply chain market. Service Providers are
increasingly focusing on research and development process to fuel higher growth in the market. To meet evolving customer demand with
respect to better efficiency and durability, several predictive analytics and maintenance in supply chain providers are coming up with their
technologically advanced offerings.
“The growing advancements in information technologies and improved computational efficiencies are accelerating the implementation of big
data analytics and blockchain technology for efficiently tracking the supply chain. The rise in the requirements for the analysis of customer
behavior analysis and the adoption of demand forecasting facilities by the market players to keep themselves prepared for any change
uncertainty in the market is expected to propel the predictive analytics and maintenance in supply chain market growth till 2026” said Mr. Karan
Chechi, Research Director with TechSci Research, a research based global management consulting firm.

26. 26
Sample Data - Snapshot
Global Predictive Maintenance Market Size, By Value (USD Million), 2016-2026F
5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00
2016 2020 2021E 2026F
CAGR By Value CAGR By Value
XX% YY%
North America Predictive Maintenance Market Share, By Testing Type, By Value, 2016–2026F
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
2016
2017
2018
2019
2020
2021E
2022F
2023F
2024F
2025F
2026F
Vibration Analysis Power System Assessment Infrared Thermal Inspection Insulating Fluid Analysis
Circuit Monitoring Analysis Automotive Retail and Ecommerce Others
United States Predictive Maintenance Market Share, By End User, By Value, 2016–2026F
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
2016
2017
2018
2019
2020
2021E
2022F
2023F
2024F
2025F
2026F
Aerospace and Defense Energy and Infrastructure Logistics & Transportation Manufacturing
Oil and Gas Automotive Retail and Ecommerce Others

27. 27
Report Ordering
Report Name: GLOBAL PREDICTIVE MAINTENANCE MARKET
FORECAST & OPPORTUNITIES
2016 – 2026
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