Global Predictive Maintenance Market
Market Size in USD Billion
CAGR :
% 
 Forecast Period |
2022 –2029 |
 Market Size (Base Year) |
USD 3.84 Billion |
 Market Size (Forecast Year) |
USD 36.01 Billion |
 CAGR |
% |
| Major Markets Players |
|
Global Predictive Maintenance Market, By Components (Solution, Services), Deployment Mode (Cloud, On-Premise), Organisation Size (Large Enterprises, Small and Medium-Sized Enterprises), Vertical (Manufacturing, Energy and Utilities, Transportation, Government, Healthcare, Aerospace and Defense, Others), Stakeholder (MRO, OEM/ODM, Technology Integrators) – Industry Trends and Forecast to 2029
Market Analysis and Size
The increased use of new and emerging technologies to gain valuable insight into decision-making has contributed to the industry growth. Various vertical end-users are increasingly in need of cost reduction and downtime, which has stimulated the market growth.
Data Bridge Market Research analyses that the predictive maintenance market value, which was USD 3.84 billion in 2021, is expected to reach the value of USD 36.01 billion by 2029, at a CAGR of 32.30% during the forecast period 2022-2029. The predictive maintenance market report also covers pricing analysis, patent analysis, and technological advancements in depth.
Market Definition
Predictive maintenance software system is employed to watch the performance and condition of any instrumentation or machine whereas operational them. The software system observes the instrumentation victimisation advanced techniques that permits the upkeep of the machinery to be regular before any failure happens. prognosticative maintenance software system has found its application in varied fields like finding three-phase power imbalances from harmonic distortion, distinctive motor electrical phenomenon spikes, heating from dangerous bearings.
Report Scope and Market Segmentation
|
Report Metric |
Details |
|
Forecast Period |
2022 to 2029 |
|
Base Year |
2021 |
|
Historic Years |
2020 (Customizable to 2019 - 2014) |
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Quantitative Units |
Revenue in USD Billion, Volumes in Units, Pricing in USD |
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Segments Covered |
Components (Solution, Services), Deployment Mode (Cloud, On-Premise), Organisation Size (Large Enterprises, Small & Medium-Sized Enterprises), Vertical (Manufacturing, Energy and Utilities, Transportation, Government, Healthcare, Aerospace & Defense, Others) Stakeholder (MRO,OEM/ODM,Technology Integrators) |
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Countries Covered |
U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America. |
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Market Players Covered |
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Market Opportunities |
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Global Predictive Maintenance Market Dynamics
This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:
Drivers:
- Increasing use of emerging technologies to gain valuable insights
The continuous developments in big data, machine-to- machine (M2M) communication, and artificial intelligence have created new possibilities for the disquisition of information deduced from artificial means. IoT bias induce a huge quantum of data from various sources, similar as detectors, cameras, and other connected bias. The data, still, doesn't give any value by itself unless anybody converts it into practicable, contextual information. Big data and data visualization ways enable druggies to gain new perceptivity through batch processing and offline analysis. Real- time data analysis and decision- timber are frequently done manually; but to make it scalable, it's preferred to be done automatically. The main part of AI technology is to probe huge volumes of data produced by various factors of the IoT ecosystem and transfigure the data into meaningful perceptivity. Enterprises are integrating AI into their predefined logical models to automate the data interpretation process and gain real- time perceptivity from the data generated from these IoT bias. AI provides enterprises with fabrics and tools to dissect real- time data and decide multiple use cases for IoT.
- Increased number of industries globally to induce greater demand and supply in emerging nations
Growing number of small and medium scale enterprises all around the globe is one of the major factors fostering the growth of the market. In other words, increased number of banking, financial services, and insurance (BFSI), government and public sector, healthcare and life sciences, manufacturing, retail and e-commerce, telecommunication, and IT industries, is directly influencing the growth rate of the market.
Opportunities:
- Real-time condition monitoring to assist in taking prompt actions
Advanced asset operation is decreasingly demanded across nearly every perpendicular. Result providers equipped with AI and ML can collect and turn the vast quantum of client- related data into meaningful perceptivity, as IoT generates a huge quantum of data from connected bias. AI can also be integrated with the IoT bias to optimize various aspects of service delivery, similar as prophetic conservation and quality assessment, without the need for any mortal intervention. AI- grounded IoT results are formerly being espoused in various diligence, and this would only grow as the technology matures. The nonstop developments in big data, M2M communication, enable condition monitoring in real- time. The real- time inputs from detectors, selectors, and other control parameters would not only prognosticate embryonic asset failures but also help companies cover in real- time and take prompt conduct.
Restrictions/ challenges:
- Lack of skilled workforce
Trained workers are needed to handle the rearmost software systems to emplace AI- grounded IoT technologies and skillsets. Hence, being workers are needed to be trained on how to operate new and upgraded systems. Also, diligence are dynamic toward espousing new technologies; still, they're facing a deficit of largely professed pool and complete workers. As utmost of the global merchandisers are organizing prophetic conservation systems, the demand for a largely professed pool is adding. Companies need to acquire moxie in areas, similar as cybersecurity, networking, and operations. Also, they seek to use IoT data for prognosticating issues, precluding failures, optimizing operations, developing new products, furnishing advanced analytics faculty, which includes AI and ML. These technologies would play a critical part in the overall reduction of functional costs. Also, with enterprises integrating AI in IoT, there would be a growing need for functional intelligence- acquainted data critic brigades to handle huge quantities of data generated from IoT bias.
- Frequent maintenance and upgradation requirement to keep the systems updated
Enterprises are espousing AI- grounded IoT results for prophetic conservation and enhanced client experience. The merchandisers in the request must develop prophetic conservation systems considering two important factors, videlicet conservation and updates. An AI- grounded IoT system needs to be streamlined and maintained as per the changing business conditions to apply technological upgrades. The software also needs to be upgraded, as new factors are added. The new system must be integrated with the being one, as well as the fresh one. With an increase in the number of systems, the conservation cost also increases. Maintaining and upgrading AI- grounded IoT systems is going to be a grueling task for companies that offer results without any interruption.
This predictive maintenance market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the predictive maintenance market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
COVID-19 Impact on Predictive Maintenance Market
COVID – 19 has encyclopaedically changed the dynamics of business operations. Though the COVID – 19 outbreak has thrown light on sins in business models across verticals, it has offered several openings to digitalize and expand their business across regions as the relinquishment and integration of technologies similar as AI, analytics, IoT, and blockchain has increased in the lockdown period. The retail and manufacturing sectors faced a significant dip in business performance during the first and alternate diggings of 2020. Still, with the vacuity of vaccines and considerable control achieved over the epidemic, these sectors are anticipated to witness rising investments throughout the cast period as prophetic conservation results grow in elevation across different business functions.
Recent Developments
- In July 2021, Schneider Electric launched EcoStruxure ™ TriconexTM Safety View, the assiduity’s first binary safety-and cybersecurity- certified bypass and alarm operation software operation that allows drivers to see both the bypass status that impacts the position of threat reduction in place, as well as the critical admonitions needed to operate the factory safely when pitfalls are high.
- In May 2021, SAS Institute launched its SAS Viya platform to support the foundation for data and logical success by incorporating new data operation results into its important, pall native SASViya platform.
Global Predictive Maintenance Market Scope
The predictive maintenance market is segmented on the basis of component, deployment mode, organization size, vertical, stakeholder. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Component:
- Solutions
- Integrated
- Standalone
- Service
- Managed Services
- Professional Services
- System Integration
- Support and Maintenance
- Consulting
System Integration
- Support and Maintenance
- Consulting
Deployment Mode
- On-premises
- Cloud
- Public Cloud
- Private Cloud
- Hybrid Cloud
Organization Size
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
Vertical
- Government and Defense
- Manufacturing
- Energy and Utilities
- Transportation and Logistics
- Healthcare and Life Sciences
Stakeholder
- MRO
- OEM/ODM
- Technology Integrators
Predictive Maintenance Market Regional Analysis/Insights
The predictive maintenance market is analysed and market size insights and trends are provided by country, component, deployment mode, organization size, vertical, stakeholder as referenced above.
The countries covered in the predictive maintenance market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America is predicted to own the most important market share within the prognostic maintenance market. Key factors affirmative the expansion of the prognostic maintenance market in North America embrace the increasing technological advancements within the region. The growing range of prognostic maintenance players across regions is predicted to more drive market growth. However, Asia Pacific will show a steady rise in the adoption of predictive maintenance due to the emerging economies, technological advancement and the need to adopt latest technological innovations for achieving optimum output through proper maintenance of assets.
The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Predictive Maintenance Market Share Analysis
The predictive maintenance market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to predictive maintenance market.
Some of the major players operating in the predictive maintenance market are:
- Microsoft(US)
- IBM(US)
- SAP(Germany)
- SAS Institute Inc. (US)
- Software AG (Germany)
- TIBCO Software Inc.(US)
- Hewlett Packard Enterprise Development LP (US)
- Altair Engineering Inc. (US)
- Splunk Inc. (US)
- Oracle (US)
- Google (US)
- Amazon Web Services, Inc. (US)
- General Electric (US)
- Schneider Electric (France)
- Hitachi, Ltd. (Japan)
- PTC (US)
- RapidMiner, Inc. (US)
- Operational Excellence (OPEX) Group Ltd, (UK)
- Dingo (Australia)
- Factory5 (Russia)
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Table of Content
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF GLOBAL PREDICTIVE MAINTENANCE MARKET
1.4 LIMITATIONS
1.5 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 MARKETS COVERED
2.2 GEOGRAPHICAL SCOPE
2.3 YEARS CONSIDERED FOR THE STUDY
2.4 CURRENCY AND PRICING
2.5 DBMR TRIPOD DATA VALIDATION MODEL
2.6 MULTIVARIATE MODELLING
2.7 COMPONENTS LIFELINE CURVE
2.8 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS
2.9 DBMR MARKET POSITION GRID
2.1 VENDOR SHARE ANALYSIS
2.11 SECONDARY SOURCES
2.12 ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
5 COVID-19IMPACT ON PREDICTIVE MAINTENANCE MARKET
5.1 AFTERMATH OF COVID-19 AND GOVERNMENT INITIATIVE TO BOOST THE MARKET
5.2 STRATEGIC DECISIONS FOR MANUFACTURERS AFTER COVID-19 TO GAIN COMPETITIVE MARKET SHARE
5.3 IMPACT ON DEMAND
5.4 IMPACT ON SUPPLY CHAIN
5.5 CONCLUSION
6 MARKET OVERVIEW
6.1 DRIVERS
6.1.1 INCREASING CONCERN TOWARDS IMPROVEMENT OF UPTIME OF EQUIPMENT AND MAINTENANCE COST REDUCTION
6.1.2 RISING DEMAND OF PREDICTIVE MAINTENANCE IN VARIOUS VERTICALS
6.1.3 INCREASING USE OF EMERGING TECHNOLOGIES TO GAIN VALUABLE INSIGHTS
6.1.4 RISING DEMAND OF SENSORS AMONG INDUSTRIES
6.2 RESTRAINTS
6.2.1 LACK OF SKILLED WORKERS
6.2.2 LOW LEVEL OF AWARENESS AMONG ENTERPRISES
6.2.3 TRUST ISSUES WITH PREDICTIVE MAINTENANCE TECHNOLOGY
6.3 OPPORTUNITIES
6.3.1 REAL-TIME MONITORING CONDITION TO ASSIST IN TAKING PROMPT ACTIONS
6.3.2 COVID-19 PANDEMIC RAISING THE NEED FOR REMOTE CONTROL AND MANAGEMENT OF PROPERTIES AND BUSINESS PROCESSES
6.3.3 RISING TECHNOLOGICAL INNOVATION
6.4 CHALLENGES
6.4.1 CONCERN OVER DATA SECURITY AND PRIVACY ISSUES
6.4.2 DEVELOPING FUNCTIONAL PREDICTIVE MAINTENANCE SOLUTIONS APPLICABLE TO MANUFACTURING
6.4.3 CONTINOUS UPGRADATION AND MAINTENANCE REQUIRED FOR SYSTEM
6.4.4 HIGH COST INVOLVED IN SETTING UP THE MACHINERY AND EQUIPMENT
7 GLOBAL PREDICTIVE MAINTENANCE MARKET, BY COMPONENT
7.1 OVERVIEW
7.2 SOLUTIONS
7.2.1 INTEGRATED
7.2.2 STAND-ALONE
7.3 SERVICES
7.3.1 TRAINING & CONSULTING
7.3.2 IMPLEMENTATION
7.3.3 SUPPORT & MAINTENANCE
8 GLOBAL PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE
8.1 OVERVIEW
8.1.1 ON-PREMISE
8.1.2 CLOUD
9 GLOBAL PREDICTIVE MAINTENANCE MARKET, BY ORGANISATION SIZE
9.1 OVERVIEW
9.1.1 LARGE ORGANISATION
9.1.2 SMALL & MEDIUM ORGANISATION
10 GLOBAL PREDICTIVE MAINTENANCE MARKET, BY VERTICALS
10.1 OVERVIEW
10.1.1 MANUFACTURING
10.1.2 ENERGY & UTILITIES
10.1.3 GOVERNMENT
10.1.4 HEALTHCARE
10.1.5 TRANSPORT
10.1.6 AEROSPACE & DEFENSE
10.1.7 OTHERS
11 GLOBAL PREDICTIVE MAINTENANCE MARKET, BY GEOGRAPHY
11.1 OVERVIEW
11.2 NORTH AMERICA
11.2.1 U.S.
11.2.2 CANADA
11.2.3 MEXICO
11.3 EUROPE
11.3.1 GERMANY
11.3.2 U.K.
11.3.3 FRANCE
11.3.4 RUSSIA
11.3.5 ITALY
11.3.6 SPAIN
11.3.7 NETHERLANDS
11.3.8 SWITZERLAND
11.3.9 BELGIUM
11.3.10 TURKEY
11.3.11 REST OF EUROPE
11.4 ASIA-PACIFIC
11.4.1 ASIA-PACIFIC
11.4.2 CHINA
11.4.3 JAPAN
11.4.4 INDIA
11.4.5 SOUTH KOREA
11.4.6 AUSTRALIA
11.4.7 SINGAPORE
11.4.8 INDONESIA
11.4.9 THAILAND
11.4.10 MALAYSIA
11.4.11 PHILIPPINES
11.4.12 REST OF ASIA-PACIFIC
11.5 MIDDLE EAST AND AFRICA
11.5.1 SOUTH AFRICA
11.5.2 SAUDI ARABIA
11.5.3 U.A.E
11.5.4 ISRAEL
11.5.5 EGYPT
11.5.6 REST OF MIDDLE EAST AND AFRICA
11.6 SOUTH AMERICA
11.6.1 BRAZIL
11.6.2 ARGENTINA
11.6.3 REST OF SOUTH AMERICA
12 GLOBAL PREDICTIVE MAINTENANCE MARKET: COMPANY LANDSCAPE
12.1 COMPANY SHARE ANALYSIS: GLOBAL
12.2 COMPANY SHARE ANALYSIS: NORTH AMERICA
12.3 COMPANY SHARE ANALYSIS: EUROPE
12.4 COMPANY SHARE ANALYSIS: ASIA-PACIFIC
13 SWOT ANALYSIS
14 COMPANY PROFILE
14.1 IBM CORPORATION
14.1.1 COMPANY SNAPSHOT
14.1.2 REVENUE ANALYSIS
14.1.3 COMPANY SHARE ANALYSIS
14.1.4 PRODUCT PORTFOLIO
14.1.5 RECENT DEVELOPMENTS
14.2 SAP SE
14.2.1 COMPANY SNAPSHOT
14.2.2 REVENUE ANALYSIS
14.2.3 COMPANY SHARE ANALYSIS
14.2.4 PRODUCT PORTFOLIO
14.2.5 RECENT DEVELOPMENTS
14.3 SIEMENS
14.3.1 COMPANY SNAPSHOT
14.3.2 REVENUE ANALYSIS
14.3.3 COMPANY SHARE ANALYSIS
14.3.4 PRODUCT PORTFOLIO
14.3.5 RECENT DEVELOPMENTS
14.4 MICROSOFT
14.4.1 COMPANY SNAPSHOT
14.4.2 REVENUE ANALYSIS
14.4.3 COMPANY SHARE ANALYSIS
14.4.4 PRODUCT PORTFOLIO
14.4.5 RECENT DEVELOPMENT
14.5 GENERAL ELECTRIC
14.5.1 COMPANY SNAPSHOT
14.5.2 REVENUE ANALYSIS
14.5.3 COMPANY SHARE ANALYSIS
14.5.4 PRODUCT PORTFOLIO
14.5.5 RECENT DEVELOPMENTS
14.6 ABB
14.6.1 COMPANY SNAPSHOT
14.6.2 REVENUE ANALYSIS
14.6.3 PRODUCT PORTFOLIO
14.6.4 RECENT DEVELOPMENTS
14.7 AMAZON WEB SERVICES, INC. (A SUBSIDIARY OF AMAZON)
14.7.1 COMPANY SNAPSHOT
14.7.2 REVENUE ANALYSIS
14.7.3 PRODUCT PORTFOLIO
14.7.4 RECENT DEVELOPMENTS
14.8 C3.AI, INC.
14.8.1 COMPANY SNAPSHOT
14.8.2 PRODUCT PORTFOLIO
14.8.3 RECENT DEVELOPMENTS
14.9 DINGO SOFTWARE PTY. LTD
14.9.1 COMPANY SNAPSHOT
14.9.2 PRODUCT PORTFOLIO
14.9.3 RECENT DEVELOPMENT
14.1 HITACHI, LTD.
14.10.1 COMPANY SNAPSHOT
14.10.2 REVENUE ANALYSIS
14.10.3 PRODUCT PORTFOLIO
14.10.4 RECENT DEVELOPMENT
14.11 HUAWEI TECHNOLOGIES CO., LTD.
14.11.1 COMPANY SNAPSHOT
14.11.2 REVENUE ANALYSIS
14.11.3 PRODUCT PORTFOLIO
14.11.4 RECENT DEVELOPMENT
14.12 INTEL CORPORATION
14.12.1 COMPANY SNAPSHOT
14.12.2 REVENUE ANALYSIS
14.12.3 PRODUCT PORTFOLIO
14.12.4 RECENT DEVELOPMENT
14.13 ORACLE
14.13.1 COMPANY SNAPSHOT
14.13.2 REVENUE ANALYSIS
14.13.3 PRODUCT PORTFOLIO
14.13.4 RECENT DEVELOPMENT
14.14 PTC
14.14.1 COMPANY SNAPSHOT
14.14.2 REVENUE ANALYSIS
14.14.3 PRODUCT PORTFOLIO
14.14.4 RECENT DEVELOPMENTS
14.15 SCHNEIDER ELECTRIC
14.15.1 COMPANY SNAPSHOT
14.15.2 REVENUE ANALYSIS
14.15.3 PRODUCT PORTFOLIO
14.15.4 RECENT DEVELOPMENTS
14.16 SKF
14.16.1 COMPANY SNAPSHOT
14.16.2 REVENUE ANALYSIS
14.16.3 PRODUCT PORTFOLIO
14.16.4 RECENT DEVELOPMENTS
14.17 SOFTWARE AG
14.17.1 COMPANY SNAPSHOT
14.17.2 REVENUE ANALYSIS
14.17.3 PRODUCT PORTFOLIO
14.17.4 RECENT DEVELOPMENTS
14.18 SOFTWEB SOLUTIONS INC. (AN AVNET COMPANY)
14.18.1 COMPANY SNAPSHOT
14.18.2 REVENUE ANALYSIS
14.18.3 PRODUCT PORTFOLIO
14.18.4 RECENT DEVELOPMENTS
14.19 SPLUNK INC.
14.19.1 COMPANY SNAPSHOT
14.19.2 REVENUE ANALYSIS
14.19.3 PRODUCT PORTFOLIO
14.19.4 RECENT DEVELOPMENTS
14.2 UPTAKE TECHNOLOGIES INC
14.20.1 COMPANY SNAPSHOT
14.20.2 PRODUCT PORTFOLIO
14.20.3 RECENT DEVELOPMENTS
15 QUESTIONNAIRE
16 RELATED REPORTS
List of Table
LIST OF TABLES
TABLE 1 GLOBAL PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 2 GLOBAL SOLUTION IN PREDICTIVE MAINTENANCEMARKET, BY REGION,2018-2027 (USD MILLION)
TABLE 3 GLOBAL SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY REGION,2018-2027, (USD MILLION)
TABLE 4 GLOBAL PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE, 2018-2027 (USD MILLION)
TABLE 5 GLOBAL ON-PREMISE IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 6 GLOBAL CLOUD IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 7 GLOBAL PREDICTIVE MAINTENANCE MARKET, BY ORGANISATION SIZE, 2018-2027 (USD MILLION)
TABLE 8 GLOBAL LARGE ORGANISATION IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 9 GLOBAL SMALL & MEDIUMORGANISATION IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 10 GLOBAL PREDICTIVE MAINTENANCE MARKET, BY VERTICAL, 2018-2027 (USD MILLION)
TABLE 11 GLOBAL MANUFACTURING IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 12 GLOBAL ENERGY & UTILITIES IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 13 GLOBAL GOVERNMENT IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 14 GLOBAL HEALTHCARE IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 15 GLOBAL TRANSPORT IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 16 GLOBAL AEROSPACE &DEFENSE IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 17 GLOBAL OTHERS IN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027, (USD MILLION)
TABLE 18 GLOBAL PREDICTIVE MAINTENANCE MARKET, BY REGION, 2018-2027 (USD MILLION)
TABLE 19 NORTH AMERICAPREDICTIVE MAINTENANCE MARKET, BY COUNTRY, 2018-2027 (USD MILLION)
TABLE 20 NORTH AMERICA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 21 NORTH AMERICA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 22 NORTH AMERICA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 23 NORTH AMERICA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 24 NORTH AMERICA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 25 NORTH AMERICA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 26 U.S.PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 27 U.S. SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 28 U.S.SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 29 U.S. PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 30 U.S. PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 31 U.S. PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 32 CANADA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 33 CANADA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 34 CANADA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 35 CANADA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 36 CANADA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 37 CANADA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 38 MEXICO PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 39 MEXICO SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 40 MEXICOSERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 41 MEXICO PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 42 MEXICO PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 43 MEXICO PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 44 EUROPE PREDICTIVE MAINTENANCE MARKET , BY COUNTRY, 2018-2027 (USD MILLION)
TABLE 45 EUROPE PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 46 EUROPE SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 47 EUROPE SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 48 EUROPE PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 49 EUROPE PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 50 EUROPE PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 51 GERMANY PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 52 GERMANY SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 53 GERMANY SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 54 GERMANY PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 55 GERMANY PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 56 GERMANY PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 57 U.K. PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 58 U.K. SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 59 U.K. SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 60 U.K. PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 61 U.K. PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 62 U.K. PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 63 FRANCE PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 64 FRANCE SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 65 FRANCE SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 66 FRANCE PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 67 FRANCE PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 68 FRANCE PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 69 RUSSIA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 70 RUSSIA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 71 RUSSIA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 72 RUSSIA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 73 RUSSIA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 74 RUSSIA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 75 ITALY PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 76 ITALY SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 77 ITALY SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 78 ITALY PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 79 ITALY PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 80 ITALY PREDICTIVE MAINTENANCE MARKET, BY VERTICAL, 2018-2027 (USD MILLION)
TABLE 81 SPAIN PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 82 SPAIN SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 83 SPAIN SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 84 SPAIN PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 85 SPAIN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 86 SPAIN PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 87 NETHERLANDS PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 88 NETHERLANDS SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 89 NETHERLANDS SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 90 NETHERLANDS PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 91 NETHERLANDS PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 92 NETHERLANDS PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 93 SWITZERLAND PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 94 SWITZERLAND SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 95 SWITZERLAND SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 96 SWITZERLAND PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 97 SWITZERLAND PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 98 SWITZERLAND PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 99 BELGIUM PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 100 BELGIUM SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 101 BELGIUM SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 102 BELGIUM PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 103 BELGIUM PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 104 BELGIUM PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 105 TURKEY PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 106 TURKEY SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 107 TURKEY SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 108 TURKEY PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 109 TURKEY PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 110 TURKEY PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 111 REST OF EUROPE PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 112 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET , BY COUNTRY, 2018-2027 (USD MILLION)
TABLE 113 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 114 ASIA-PACIFIC SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 115 ASIA-PACIFIC SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 116 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 117 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 118 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 119 CHINA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 120 CHINA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 121 CHINA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 122 CHINA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 123 CHINA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 124 CHINA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 125 JAPAN PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 126 JAPAN SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 127 JAPAN SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 128 JAPAN PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 129 JAPAN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 130 JAPAN PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 131 INDIA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 132 INDIA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 133 INDIA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 134 INDIA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 135 INDIA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 136 INDIA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 137 SOUTH KOREA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 138 SOUTH KOREA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 139 SOUTH KOREA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 140 SOUTH KOREA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 141 SOUTH KOREA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 142 SOUTH KOREA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 143 AUSTRALIA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 144 AUSTRALIA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 145 AUSTRALIA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 146 AUSTRALIA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 147 AUSTRALIA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 148 AUSTRALIA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 149 SINGAPORE PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 150 SINGAPORE SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 151 SINGAPORE SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 152 SINGAPORE PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 153 SINGAPORE PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 154 SINGAPORE PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 155 INDONESIA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 156 INDONESIA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 157 INDONESIA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 158 INDONESIA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 159 INDONESIA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 160 INDONESIA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 161 THAILAND PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 162 THAILAND SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 163 THAILAND SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 164 THAILAND PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 165 THAILAND PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 166 THAILAND PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 167 MALAYSIA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 168 MALAYSIA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 169 MALAYSIA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 170 MALAYSIA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 171 MALAYSIA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 172 MALAYSIA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 173 PHILIPPINES PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 174 PHILIPPINES SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 175 PHILIPPINES SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 176 PHILIPPINES PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 177 PHILIPPINES PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 178 PHILIPPINES PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 179 REST OF ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 180 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET , BY COUNTRY, 2018-2027 (USD MILLION)
TABLE 181 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 182 MIDDLE EAST AND AFRICA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 183 MIDDLE EAST AND AFRICA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 184 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 185 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 186 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 187 SOUTH AFRICA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 188 SOUTH AFRICA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 189 SOUTH AFRICA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 190 SOUTH AFRICA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 191 SOUTH AFRICA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 192 SOUTH AFRICA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 193 SAUDI ARABIA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 194 SAUDI ARABIA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 195 SAUDI ARABIA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 196 SAUDI ARABIA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 197 SAUDI ARABIA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 198 SAUDI ARABIA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 199 U.A.E PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 200 U.A.E SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 201 U.A.E SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 202 U.A.E PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 203 U.A.E PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 204 U.A.E PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 205 ISRAEL PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 206 ISRAEL SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 207 ISRAEL SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 208 ISRAEL PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 209 ISRAEL PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 210 ISRAEL PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 211 EGYPT PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 212 EGYPT SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 213 EGYPT SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 214 EGYPT PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 215 EGYPT PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 216 EGYPT PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 217 REST OF MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 218 SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET , BY COUNTRY, 2018-2027 (USD MILLION)
TABLE 219 SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 220 SOUTH AMERICA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 221 SOUTH AMERICA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 222 SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 223 SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 224 SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 225 BRAZIL PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 226 BRAZIL SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 227 BRAZIL SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 228 BRAZIL PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 229 BRAZIL PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 230 BRAZIL PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 231 ARGENTINA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
TABLE 232 ARGENTINA SOLUTIONS IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 233 ARGENTINA SERVICES IN PREDICTIVE MAINTENANCE MARKET, BY TYPE, 2018-2027 (USD MILLION)
TABLE 234 ARGENTINA PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE , 2018-2027 (USD MILLION)
TABLE 235 ARGENTINA PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE , 2018-2027 (USD MILLION)
TABLE 236 ARGENTINA PREDICTIVE MAINTENANCE MARKET, BY VERTICAL , 2018-2027 (USD MILLION)
TABLE 237 REST OF SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2018-2027 (USD MILLION)
List of Figure
LIST OF FIGURES
FIGURE 1 GLOBAL PREDICTIVE MAINTENANCE MARKET: SEGMENTATION
FIGURE 2 GLOBAL PREDICTIVE MAINTENANCE MARKET: DATA TRIANGULATION
FIGURE 3 GLOBAL PREDICTIVE MAINTENANCE MARKET: DROC ANALYSIS
FIGURE 4 GLOBAL PREDICTIVE MAINTENANCE MARKET: GLOBAL VS REGIONAL MARKET ANALYSIS
FIGURE 5 GLOBAL PREDICTIVE MAINTENANCE MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 GLOBAL PREDICTIVE MAINTENANCE MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 GLOBAL PREDICTIVE MAINTENANCE MARKET: DBMR MARKET POSITION GRID
FIGURE 8 GLOBAL PREDICTIVE MAINTENANCE MARKET: VENDOR SHARE ANALYSIS
FIGURE 9 GLOBAL PREDICTIVE MAINTENANCE MARKET: SEGMENTATION
FIGURE 10 NORTH-AMERICA IS EXPECTED TO DOMINATE THE GLOBAL PREDICTIVE MAINTENANCE MARKET GROWING WITH THE HIGHEST CAGR IN THE FORECAST PERIOD OF 2020 TO 2027
FIGURE 11 RISING DEMAND OF PREDICTIVE MAINTENANCE IN VARIOUS VERTICALS IS EXPECTED TO DRIVE THE GLOBAL PREDICTIVE MAINTENANCE MARKET IN THE FORECAST PERIOD OF 2020 TO 2027
FIGURE 12 SOLUTION SEGMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE GLOBAL PREDICTIVE MAINTENANCE MARKET IN 2020 & 2027
FIGURE 13 NORTH AMERICA IS THE FASTEST GROWING MARKET FOR PREDICTIVE MAINTENANCE MANUFACTURERS IN THE FORECAST PERIOD OF 2020 TO 2027
FIGURE 14 DRIVERS, RESTRAINTS, OPPORTUNITIES AND CHALLENGES OF GLOBAL PREDICTIVE MAINTENANCE MARKET
FIGURE 15 GLOBAL PREDICTIVE MAINTENANCE MARKET: BY COMPONENT, 2019
FIGURE 16 GLOBAL PREDICTIVE MAINTENANCE MARKET: BY DEPLOYMENT MODE, 2019
FIGURE 17 GLOBAL PREDICTIVE MAINTENANCE MARKET: BY ORGANISATION SIZE, 2019
FIGURE 18 GLOBAL PREDICTIVE MAINTENANCE MARKET: BY VERTICAL, 2019
FIGURE 19 GLOBAL PREDICTIVE MAINTENANCE MARKET : SNAPSHOT (2019)
FIGURE 20 GLOBAL PREDICTIVE MAINTENANCE MARKET : BY GEOGRAPHY (2019)
FIGURE 21 GLOBAL PREDICTIVE MAINTENANCE MARKET : BY GEOGRAPHY (2020 & 2027)
FIGURE 22 GLOBAL PREDICTIVE MAINTENANCE MARKET : BY GEOGRAPHY (2019 & 2027)
FIGURE 23 GLOBALPREDICTIVE MAINTENANCE MARKET : BY COMPONENT(2020-2027)
FIGURE 24 NORTH AMERICAPREDICTIVE MAINTENANCE MARKET : SNAPSHOT (2019)
FIGURE 25 NORTH AMERICAPREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019)
FIGURE 26 NORTH AMERICAPREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2020 & 2027)
FIGURE 27 NORTH AMERICAPREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019 & 2027)
FIGURE 28 NORTH AMERICAPREDICTIVE MAINTENANCE MARKET : BY COMPONENT(2020-2027)
FIGURE 29 EUROPE PREDICTIVE MAINTENANCE MARKET : SNAPSHOT (2019)
FIGURE 30 EUROPE PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019)
FIGURE 31 EUROPE PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2020 & 2027)
FIGURE 32 EUROPE PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019 & 2027)
FIGURE 33 EUROPE PREDICTIVE MAINTENANCE MARKET : BY COMPONENT(2020-2027)
FIGURE 34 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET : SNAPSHOT (2019)
FIGURE 35 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019)
FIGURE 36 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2020 & 2027)
FIGURE 37 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019 & 2027)
FIGURE 38 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET : BY COMPONENT(2020-2027)
FIGURE 39 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET : SNAPSHOT (2019)
FIGURE 40 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019)
FIGURE 41 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2020 & 2027)
FIGURE 42 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019 & 2027)
FIGURE 43 MIDDLE EAST AND AFRICA PREDICTIVE MAINTENANCE MARKET : BY COMPONENT(2020-2027)
FIGURE 44 SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET : SNAPSHOT (2019)
FIGURE 45 SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019)
FIGURE 46 SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2020 & 2027)
FIGURE 47 SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET : BY COUNTRY (2019 & 2027)
FIGURE 48 SOUTH AMERICA PREDICTIVE MAINTENANCE MARKET : BY COMPONENT(2020-2027)
FIGURE 49 GLOBAL PREDICTIVE MAINTENANCE MARKET: COMPANY SHARE 2019 (%)
FIGURE 50 NORTH AMERICA PREDICTIVE MAINTENANCE MARKET: COMPANY SHARE 2019 (%)
FIGURE 51 EUROPE PREDICTIVE MAINTENANCE MARKET: COMPANY SHARE 2019 (%)
FIGURE 52 ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET: COMPANY SHARE 2019 (%)
Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Customization Available
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.
