2016 – 2026
GLOBAL PREDICTIVE MAINTENANCE MARKET FORECAST & OPPORTUNITIES
www.techsciresearch.com MARKET INTELLIGENCE . CONSULTING
Scope of Report Product of Interest (POI): Predictive Maintenance
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 Year Range DEPLOYMENT
COMPONEENT
REGION
•
Service
•
On-Premise
•
Asia-Pacific
•
Solution
•
Cloud
•
Europe
•
North America
•
South America
•
Middle East & Africa
END USER
TESTING TYPE •
Vibration Analysis
•
Aerospace and Defense
•
Power System Assessment
•
Energy and Infrastructure
•
Infrared Thermal Inspection
•
Logistics & Transportation
•
Insulating Fluid Analysis
•
Manufacturing
•
Circuit Monitoring Analysis
•
Oil and Gas
•
Automotive
•
Automotive
•
Retail and Ecommerce
•
Retail and Ecommerce
•
Others
•
Others
(MEA)
ORGANIZATION SIZE
Review Period
2016 – 2019 Base Year
2020 Estimated Year
2021
•
SME
Forecast Period
•
Large Enterprise
2022 – 2026
2
Table of Contents S. No.
Contents
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
6.
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
Page No.
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.
6.2.
6.3.
By Value
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
Product Market Map
3
Table of Contents S. No. 7.
Contents
Page No.
Asia-Pacific Predictive Maintenance Market Outlook 7.1.
Market Size & Forecast 7.1.1.
7.2.
7.3.
By Value
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
Asia-Pacific: Country Analysis 7.3.1.
China Predictive Maintenance Market Outlook 7.3.1.1.
Market Size & Forecast 7.3.1.1.1.
7.3.1.2.
By Value
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
4
Table of Contents S. No.
Contents 7.3.2.
India Predictive Maintenance Market Outlook 7.3.2.1.
Market Size & Forecast 7.3.2.1.1.
7.3.2.2.
7.3.3.
Page No.
By Value
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
Australia Predictive Maintenance Market Outlook 7.3.3.1.
Market Size & Forecast 7.3.3.1.1.
7.3.3.2.
By Value
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
5
Table of Contents S. No.
Contents 7.3.4.
Japan Predictive Maintenance Market Outlook 7.3.4.1.
Market Size & Forecast 7.3.4.1.1.
7.3.4.2.
7.3.5.
Page No.
By Value
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
South Korea Predictive Maintenance Market Outlook 7.3.5.1.
Market Size & Forecast
7.3.5.1.1. 7.3.5.2.
By Value
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
6
Table of Contents S. No.
Contents 7.3.6.
Singapore Predictive Maintenance Market Outlook 7.3.6.1.
Market Size & Forecast 7.3.6.1.1.
7.3.6.2.
7.3.7.
Page No.
By Value
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
Vietnam Predictive Maintenance Market Outlook 7.3.7.1.
Market Size & Forecast
7.3.7.1.1. 7.3.7.2.
By Value
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
7
Table of Contents S. No. 8.
Contents
Page No.
Europe Predictive Maintenance Market Outlook 8.1.
Market Size & Forecast 8.1.1.
8.2.
8.3.
By Value
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
Europe: Country Analysis 8.3.1.
France Predictive Maintenance Market Outlook 8.3.1.1.
Market Size & Forecast 8.3.1.1.1.
8.3.1.2.
By Value
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
8
Table of Contents S. No.
Contents 8.3.2.
Germany Predictive Maintenance Market Outlook 8.3.2.1.
Market Size & Forecast 8.3.2.1.1.
8.3.2.2.
8.3.3.
Page No.
By Value
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
United Kingdom Predictive Maintenance Market Outlook 8.3.3.1.
Market Size & Forecast 8.3.3.1.1.
8.3.3.2.
By Value
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
9
Table of Contents S. No.
Contents 8.3.4.
Italy Predictive Maintenance Market Outlook 8.3.4.1.
Market Size & Forecast 8.3.4.1.1.
8.3.4.2.
8.3.5.
Page No.
By Value
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
Russia Predictive Maintenance Market Outlook 8.3.5.1.
Market Size & Forecast
8.3.5.1.1. 8.3.5.2.
By Value
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
10
Table of Contents S. No. 9.
Contents
Page No.
North America Predictive Maintenance Market Outlook 9.1.
Market Size & Forecast 9.1.1.
9.2.
9.3.
By Value
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
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.
9.3.1.2.
By Value
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
11
Table of Contents S. No.
Contents 9.3.2.
Mexico Predictive Maintenance Market Outlook 9.3.2.1.
Market Size & Forecast 9.3.2.1.1.
9.3.2.2.
9.3.3.
Page No.
By Value
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
Canada Predictive Maintenance Market Outlook 9.3.3.1.
Market Size & Forecast 9.3.3.1.1.
9.3.3.2.
By Value
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
12
Table of Contents S. No. 10.
Contents
Page No.
South America Predictive Maintenance Market Outlook 10.1.
Market Size & Forecast 10.1.1.
10.2.
10.3.
By Value
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
South America: Country Analysis 10.3.1.
Brazil Predictive Maintenance Market Outlook 10.3.1.1.
Market Size & Forecast 10.3.1.1.1.
10.3.1.2.
By Value
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
13
Table of Contents S. No.
Contents 10.3.2.
Argentina Predictive Maintenance Market Outlook 10.3.2.1.
Market Size & Forecast 10.3.2.1.1.
10.3.2.2.
10.3.3.
Page No.
By Value
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
Colombia Predictive Maintenance Market Outlook 10.3.3.1.
Market Size & Forecast 10.3.3.1.1.
10.3.3.2.
By Value
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
14
Table of Contents S. No.
Contents 10.3.4.
Chile Predictive Maintenance Market Outlook 10.3.4.1.
Market Size & Forecast 10.3.4.1.1.
10.3.4.2.
11.
Page No.
By Value
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
Middle East & Africa Predictive Maintenance Market Outlook 11.1.
Market Size & Forecast 11.1.1.
11.2.
11.3.
By Value
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
MEA: Country Analysis
15
Table of Contents S. No.
Contents 11.3.1.
South Africa Predictive Maintenance Market Outlook 11.3.1.1.
Market Size & Forecast 11.3.1.1.1.
11.3.1.2.
11.3.2.
Page No.
By Value
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
Saudi Arabia Predictive Maintenance Market Outlook 11.3.2.1.
Market Size & Forecast 11.3.2.1.1.
11.3.2.2.
By Value
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
16
Table of Contents S. No.
Contents 11.3.3.
UAE Predictive Maintenance Market Outlook 11.3.3.1.
Market Size & Forecast 11.3.3.1.1.
11.3.3.2.
11.3.4.
Page No.
By Value
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
Turkey Predictive Maintenance Market Outlook 11.3.4.1.
Market Size & Forecast 11.3.4.1.1.
11.3.4.2.
By Value
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
17
Table of Contents S. No.
Contents 11.3.5.
Egypt Predictive Maintenance Market Outlook 11.3.5.1.
Market Size & Forecast 11.3.5.1.1.
11.3.5.2.
11.3.6.
Page No.
By Value
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
Nigeria Predictive Maintenance Market Outlook 11.3.6.1.
Market Size & Forecast 11.3.6.1.1.
11.3.6.2.
By Value
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
18
Table of Contents S. No. 12.
Contents
Page No.
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
19
RESEARCH METHODOLOGY
Research Methodology
Market Profiling
In-depth secondary research was conducted to determine top players in the global predictive maintenance market, overall market size and segmental market size.
Formulating Questionnaire
In order to conduct industry experts’ interviews, TechSci formulated a detailed discussion guide.
Developing List of Respondents
Data Collection
Data Validation
Data obtained as a result of primary and secondary research was validated through rigorous triangulation.
TechSci conducted interviews with industry experts and industry players for data collection and verification.
List of industry players and industry specialists was developed.
Primary Research
Data Collection
Data Filter & Analysis
Research & Intelligence
Actionable Insights
Business Solution
LinkedIn TechSci Internal Database
✓ Recent Developments ✓ Market Changing Aspects/Dynamics ✓ Government Policies ✓ Conclusion
✓ Identifying Key Opinion Leaders ✓ Questionnaire Design ✓ In-depth Interviews
Primary Research ✓ ✓
Desk Research
Secondary Research ✓ ✓ ✓ ✓ ✓ ✓ ✓
Company Websites Company Annual Reports White Paper Study Financial Reports Investor Presentations Regulatory Body Associations, etc.
Data Analysis
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.
Company Analysis ✓ Market Participants ✓ Key Strengths
Paid Sources
✓ ✓
Factiva Hoovers
21
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.
22
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
23
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
▪ World Bank
▪ Hitachi Technologies Co Ltd
▪ TechSci Research Proprietary Database & Knowledge
▪ IBM Corporation
Repository
▪ Siemens AG
▪ Company Annual Reports
▪ Bosch Software Innovations GmbH
▪ Industry Magazines
▪ Microsoft Corporation
▪ Industry Reports
▪ TIBCO Software Inc.
▪ News Dailies
▪ C3 Inc.
▪ Credible Paid Databases
▪ SAP SE ▪ Software AG ▪ PTC Inc. ▪ General Electric Company ▪ Rockwell Automation Inc. ▪ Honeywell International Inc. ▪ Fujitsu Ltd
24
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. 25
Sample Data - Snapshot Global Predictive Maintenance Market Size, By Value (USD Million), 2016-2026F
5.00
8.00
7.00
6.00
CAGR By Value
2016
9.00
10.00
2020
2021E
11.00
14.00
13.00
12.00
2026F
CAGR By Value
XX%
15.00
YY%
North America Predictive Maintenance Market Share, By Testing Type, By Value, 2016–2026F Vibration Analysis
Power System Assessment
Infrared Thermal Inspection
Circuit Monitoring Analysis
Automotive
Retail and Ecommerce
2026F 2025F 2024F 2023F 2022F 2021E 2020 2019 2018 2017 2016
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%
Insulating Fluid Analysis Others
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%
United States Predictive Maintenance Market Share, By End User, By Value, 2016–2026F Aerospace and Defense Oil and Gas 2026F 2025F 2024F 2023F 2022F 2021E 2020 2019 2018 2017 2016
20% 20% 20% 20% 20% 20% 20% 20% 20% 20% 20%
Energy and Infrastructure Automotive
20% 20% 20% 20% 20% 20% 20% 20% 20% 20% 20%
10% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10%
Logistics & Transportation Retail and Ecommerce
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%
Manufacturing Others
10% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10%
10% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10%
26
Report Ordering
Report Name: GLOBAL PREDICTIVE MAINTENANCE MARKET
FORECAST & OPPORTUNITIES 2016 – 2026 License Type
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