Predictive Maintenance Market by Component (Solutions, Services), Deployment Mode (On-premises, Cloud), Organization Size (Large Enterprises, SME), Vertical and Region - Global Forecast to 2026
[294 Pages Report] The Predictive Maintenance Market size was estimated to be worth around USD 4.2 billion in 2021 and is anticipated to rise to USD 15.9 billion by 2026, at a CAGR of 30.6%.
Various factors such as increasing spending on marketing and advertising activities by enterprises, changing landscape of customer intelligence to drive the market, and proliferation of customer channels are expected to drive the adoption of predictive maintenance technologies and services.
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COVID-19 impact
COVID-19 pandemic-induced temporary production shutdowns have highlighted the need for more nimble and robust operations. This forces businesses to gather insights from linked, real-time, and previously untapped data sources to manage and maintain equipment, avoid downtime, and move maintenance tasks to the cloud. Manufacturers can find such resiliency in an integrated digital platform that improves equipment health and maintenance monitoring. This is accomplished through the centralization of key data, the streamlining of decision-making processes, and the ability to do data analysis from anywhere and at any time. The health infrastructure system has faced various challenges, including hospitals at peak capacity and the shortage of ventilators, masks, and other key sanitary materials. Hospitals and health systems have leveraged predictive models to gain useful insights on COVID-19 risks, disease outcomes, and the virus’ potential impact on resources. The pandemic situation has also disrupted demand and supply cycles.
Predictive Maintenance Market Growth Dynamics
Driver: Growing need to reduce maintenance cost, equipment failure, and downtime
Companies are leveraging AI and ML technologies to achieve incredible precision, accuracy, and speed over traditional business intelligence tools to analyze IoT data. With the advent of predictive maintenance, enterprises can make operational predictions up to 20 times faster and with greater accuracy than threshold-based monitoring systems. The widespread use of IoT devices with industrial equipment provides a plethora of data. With AI algorithms applied to the gathered data, business owners can detect potential issues and fix these issues in advance. The system is gradually taught to recognize external and internal factors that have an impact on machine operations.
Restraint: Lack of skilled workforce
As most of the global vendors are organizing predictive maintenance projects, the demand for a highly skilled workforce is increasing. Companies need to acquire expertise in areas, such as cybersecurity, networking, and applications. Moreover, they seek to use IoT data for predicting outcomes, preventing failures, optimizing operations, developing new products, providing advanced analytics competency, which includes AI and ML. Trained workers are required to handle the latest software systems to deploy AI-based IoT technologies and skillsets. Hence, existing workers are required to be trained on how to operate new and upgraded systems. Moreover, industries are dynamic toward adopting new technologies; however, they are facing a shortage of highly skilled workforce and proficient workers. Moreover, with enterprises integrating AI in IoT, there would be a growing need for operational intelligence-oriented data analyst teams to handle huge amounts of data generated from IoT devices.
Opportunity: Real-time condition monitoring to assist in taking prompt actions
Solution providers trained with AI and ML can collect and turn the vast amount of customer-related data into meaningful insights, as IoT produces a huge amount of data from connected devices. AI can also be integrated with the IoT devices to enhance various aspects of service delivery, such as predictive maintenance and quality assessment, without the need for any human intervention. AI-based IoT solutions are already being adopted in various industries, and this would only grow as the technology matures. The continuous developments in big data and cloud technology enable condition monitoring in real-time. Improved asset management is increasingly needed across almost every vertical. The real-time inputs from sensors, actuators, and other control parameters would not only predict embryonic asset failures but also help companies monitor in real-time and take prompt actions.
Challenge: Ownership and privacy of collected data
The market competition is increasing every day due to the introduction and expansion of new technologies, such as IoT, big data, and ML. These technologies have significantly contributed to the number of endpoints collecting data, thereby resulting in an increase in dynamic data that keeps changing/updating every second. For every organization that predicts the maintenance by analyzing the collected sets of data, maintaining data privacy is a huge security mandate. Concerns related to the data ownership and privacy of collected data pose potential risks to the identity of individuals. Therefore, organizations are bound to follow certain limitations in data collection types, quantities, and methods. These limitations are likely to vary from nation to nation across the globe. Therefore, enterprises must stay abreast with the changing rules and data-related regulations.
North America to account for largest market size during the forecast period
North America is expected to have the largest market share in the predictive maintenance market. Key factors favoring the growth of the predictive maintenance market in North America include the increasing technological advancements in the region. The growing number of predictive maintenance players across regions is expected to further drive market growth.
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Key Market Players
The predictive maintenance vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global predictive maintenance market include Microsoft(US), IBM(US), SAP(Germany), SAS Institute (US), Software AG (Germany), TIBCO Software (US), HPE (US), Altair (US), Splunk (US), Oracle (US), Google (US), AWS (US), GE (US), Schneider Electric (France), Hitachi (Japan), and PTC (US).
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Get online access to the report on the World's First Market Intelligence Cloud
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- Latest News, Updates & Trend analysis
|
Report Metric |
Details |
|
Market size available for years |
2015–2026 |
|
Base year considered |
2020 |
|
Forecast period |
2021–2026 |
|
Forecast units |
USD Million |
|
Estimated Value |
USD 4.2 billion |
|
Forecast Value |
USD 15.9 billion |
|
Segments covered |
Component, Deployment Mode, Organization Size, Vertical, and Region |
|
Geographies covered |
North America, Europe, APAC, MEA, and Latin America |
|
Companies covered |
Microsoft(US), IBM(US), SAP(Germany), SAS Institute (US), Software AG (Germany), TIBCO Software (US), HPE (US), Altair (US), Splunk (US), Oracle (US), Google (US), AWS (US), GE (US), Schneider Electric (France), Hitachi (Japan), PTC (US), RapidMiner (US), OPEX Group (UK), Dingo (Australia), and Factory5 (Russia). |
This research report categorizes the predictive maintenance market based on component, application, deployment mode, organization size, industry vertical, and region.
By Component:
-
Solutions
- Integrated
- Standalone
-
Service
- Managed Services
-
Professional Services
- System Integration
- Support and Maintenance
- Consulting
By Deployment Mode:
- On-premises
-
Cloud
- Public Cloud
- Private Cloud
- hybrid cloud
By Organization Size:
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
By Vertical:
- Government and Defense
- Manufacturing
- Energy and Utilities
- Transportation and Logistics
- Healthcare and Life Sciences
By Region:
-
North America
- US
- Canada
-
Europe
- UK
- Germany
- France
- Italy
- Russia
- Rest of Europe
-
APAC
- China
- Japan
- India
- Bangladesh
- Rest of APAC
-
MEA
- Israel
- UAE
- Qata
- Rest of MEA
-
Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments:
- In July 2021, Schneider Electric launched EcoStruxure™ TriconexTM Safety View, the industry’s first dual safety- and cybersecurity-certified bypass and alarm management software application that allows operators to see both the bypass status that impacts the level of risk reduction in place, as well as the critical alarms required to operate the plant safely when risks are high.
- In May 2021, SAS Institute launched its SAS Viya platform to reinforce the foundation for data and analytic success by incorporating new data management solutions into its powerful, cloud native SASViya platform.
- In May 2021, TIBCO Software launched its TIBCO Data Virtualization and TIBCO EBX. These solutions significantly strengthen an organization's data fabric, allowing customers to leverage the immense potential of data.
- In July 2020, Google Cloud announced BigQuery Omni powered by Anthos for Multi-Cloud Analytics. BigQuery Omni provides enterprises with the flexibility they need to break down silos and create actionable business insights, without having to pay expensive egress fees for moving data from other cloud providers to Google Cloud.
- In July 2020, Altair launched its Altair Knowledge Studio is an ML and Predictive Maintenance solution, which include automated Python code generation that supports all predictive modeling, direct data export to Altair Monarch, Altair’s industry-leading data preparation tool, and support for R code 4.0 and higher.
Frequently Asked Questions (FAQ):
What is a predictive maintenance?
Predictive maintenance is an approach used by enterprises to predict future failure points as well as monitor the condition of an asset in real-time. Besides passive monitoring, the predictive maintenance technique leverages ML algorithms that take critical historical data, such as temperature, pressure, and vibration, as an input, thus providing prediction related to the condition of an asset in real-time.
Which countries are considered in the European region?
The report includes an analysis of the UK, Germany, France, Italy and Russia in the European region.
Which are key verticals adopting predictive maintenance solutions and services?
Key verticals adopting predictive maintenance solutions and services include government and defense, manufacturing, energy and utilities, transportation and logistics, and healthcare and life sciences.
Which are the key drivers supporting the growth of the predictive maintenance market?
The key drivers supporting the growth of the predictive maintenance market include increasing use of emerging technologies to gain valuable insights, and growing need to reduce maintenance cost, equipment failure, and downtime.
Who are the key vendors in the predictive maintenance market?
The key vendors in the global predictive maintenance market include Microsoft(US), IBM(US), SAP(Germany), SAS Institute (US), Software AG (Germany), TIBCO Software (US), HPE (US), Altair (US), Splunk (US), Oracle (US), Google (US), AWS (US), GE (US), Schneider Electric (France), Hitachi (Japan), and PTC (US). .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 47)
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
FIGURE 1 COVID-19: GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
1.3 COVID-19 ECONOMIC ASSESSMENT
FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
FIGURE 4 CRITERIA IMPACTING GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF GLOBAL ECONOMY
1.4 OBJECTIVES OF THE STUDY
1.5 MARKET DEFINITION
1.6 MARKET SCOPE
1.6.1 MARKET SEGMENTATION
1.6.2 REGIONS COVERED
1.6.3 YEARS CONSIDERED FOR THE STUDY
1.7 CURRENCY CONSIDERED
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2018–2020
1.8 STAKEHOLDERS
1.9 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 56)
2.1 RESEARCH DATA
FIGURE 6 GLOBAL PREDICTIVE MAINTENANCE MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 7 PREDICTIVE MAINTENANCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
TABLE 2 FACTOR ANALYSIS
2.5 ASSUMPTIONS FOR THE STUDY
2.6 LIMITATIONS OF THE STUDY
3 EXECUTIVE SUMMARY (Page No. - 64)
TABLE 3 PREDICTIVE MAINTENANCE MARKET AND GROWTH RATE, 2015–2020 (USD MILLION, Y-O-Y%)
TABLE 4 MARKET AND GROWTH RATE, 2021–2026 (USD MILLION, Y-O-Y%)
FIGURE 8 MARKET SIZE, BY COMPONENT, 2021
FIGURE 9 MARKET SHARE, BY SOLUTIONS, 2021
FIGURE 10 MARKET SIZE, BY SERVICES, 2021
FIGURE 11 MARKET SHARE, BY PROFESSIONAL SERVICES, 2021
FIGURE 12 MARKET SHARE, BY DEPLOYMENT MODE, 2021
FIGURE 13 MARKET SIZE, BY CLOUD TYPE, 2021
FIGURE 14 MARKET SHARE, BY ORGANIZATION SIZE, 2021
FIGURE 15 MARKET SNAPSHOT, BY VERTICAL, 2021
FIGURE 16 MARKET, BY REGION
4 PREMIUM INSIGHTS (Page No. - 70)
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE PREDICTIVE MAINTENANCE MARKET
FIGURE 17 REAL-TIME CONDITIONING MONITORING TO TAKE PROMPT ACTION TO DRIVE THE MARKET
4.2 MARKET: TOP THREE VERTICALS
FIGURE 18 ENERGY AND UTILITIES VERTICAL EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
4.3 MARKET: BY REGION
FIGURE 19 NORTH AMERICA EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021
4.4 NORTH AMERICA: MARKET, BY COMPONENT AND DEPLOYMENT MODE
FIGURE 20 SOLUTIONS AND GOVERNMENT AND DEFENSE SEGMENTS EXPECTED TO DOMINATE THE MARKET IN NORTH AMERICA IN 2021
5 MARKET DYNAMICS (Page No. - 72)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 21 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: PREDICTIVE MAINTENANCE MARKET
5.2.1 DRIVERS
5.2.1.1 Increasing use of emerging technologies to gain valuable insights
5.2.1.2 Advent of ML and AI
5.2.1.3 Growing need to reduce maintenance cost, equipment failure, and downtime
5.2.2 RESTRAINTS
5.2.2.1 Lack of skilled workforce
5.2.2.2 Data security concerns
5.2.3 OPPORTUNITIES
5.2.3.1 Rising internet proliferation and growing usage of connected and integrated technologies
5.2.3.2 Real-time condition monitoring to assist in taking prompt actions
5.2.3.3 COVID-19 pandemic increasing the need for remote monitoring and management of assets and business processes
5.2.4 CHALLENGES
5.2.4.1 Frequent maintenance and upgradation requirement to keep the systems updated
5.2.4.2 Ownership and privacy of collected data
5.3 PREDICTIVE MAINTENANCE MARKET: COVID-19 IMPACT
5.4 PREDICTIVE MAINTENANCE: EVOLUTION
FIGURE 22 EVOLUTION OF PREDICTIVE MAINTENANCE
5.5 PREDICTIVE MAINTENANCE: ECOSYSTEM
FIGURE 23 PREDICTIVE MAINTENANCE: ECOSYSTEM
5.6 CASE STUDY ANALYSIS
5.6.1 ENERGY AND UTILITIES
5.6.1.1 Case study: Implementation of predictive maintenance strategy for the generating unit at Tauron Wytwarzanie
5.6.2 TRANSPORTATION AND LOGISTICS
5.6.2.1 Case study: Implementation of the PdM RSIMS solution for a warehouse stacker crane in a high storage warehouse at M-Logistic
5.6.3 OIL AND GAS
5.6.3.1 Case study: Shell deploying Microsoft Azure for detecting risks and eliminating potential problems
5.6.4 MANUFACTURING AND MINING
5.6.4.1 Case study: Uptake creates USD 28 million in value for one of the world’s largest copper producers
5.6.5 TELECOM
5.6.5.1 Case study: Leading telecom operator deploying Avanseus’ full-stack predictive maintenance solution to become 5G-ready
5.6.6 MANUFACTURING AND MINING
5.6.6.1 Case study: Leading global miner saves USD 55 million through the implementation of the DINGO Asset Wellness program
5.6.7 BFSI
5.6.7.1 Case study: Leveraging medical big data to innovate a personalized life insurance business
5.6.8 TRANSPORTATION AND LOGISTICS
5.6.8.1 Case study: United Road capitalizes on predictive maintenance with 4X ROI
5.7 PATENT ANALYSIS
5.7.1 METHODOLOGY
5.7.2 DOCUMENT TYPE
TABLE 5 PATENTS FILED, 2018–2021
5.7.3 INNOVATION AND PATENT APPLICATIONS
FIGURE 24 TOTAL NUMBER OF PATENTS GRANTED IN A YEAR, 2018–2021
5.7.3.1 Top applicants
FIGURE 25 TOP TEN COMPANIES WITH THE HIGHEST NUMBER OF PATENT APPLICATIONS, 2018–2021
TABLE 6 TOP TEN PATENT OWNERS (US) IN THE PREDICTIVE MAINTENANCE MARKET, 2018–2021
5.8 SUPPLY/VALUE CHAIN ANALYSIS
FIGURE 26 SUPPLY/VALUE CHAIN ANALYSIS
TABLE 7 MARKET: VALUE/SUPPLY CHAIN
5.9 PRICING MODEL ANALYSIS
5.10 PORTER’S FIVE FORCES ANALYSIS
FIGURE 27 MARKET: PORTER’S FIVE FORCES ANALYSIS
TABLE 8 MARKET: PORTER’S FIVE FORCES ANALYSIS
5.10.1 THREAT OF NEW ENTRANTS
5.10.2 THREAT OF SUBSTITUTES
5.10.3 BARGAINING POWER OF SUPPLIERS
5.10.4 BARGAINING POWER OF BUYERS
5.10.5 INTENSITY OF COMPETITIVE RIVALRY
5.11 TECHNOLOGY ANALYSIS
5.11.1 AI AND PREDICTIVE MAINTENANCE
5.11.2 PREDICTIVE ANALYTICS AND PREDICTIVE MAINTENANCE
5.11.3 ML AND PREDICTIVE MAINTENANCE
5.11.4 IOT AND PREDICTIVE MAINTENANCE
5.11.5 5G AND PREDICTIVE MAINTENANCE
5.12 REGULATORY IMPLICATIONS
5.12.1 INTRODUCTION
5.12.2 SARBANES-OXLEY ACT OF 2002
5.12.3 GENERAL DATA PROTECTION REGULATION
5.12.4 BASEL
5.12.5 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
5.12.6 FEDERAL TRADE COMMISSION
5.12.7 FEDERAL COMMUNICATIONS COMMISSION
5.12.8 ISO/IEC STANDARDS
5.12.8.1 ISO 55000 STANDARDS
5.12.8.2 ISO 13374 on condition monitoring and diagnostics of machines
5.12.8.3 ISO/ICE JTC 1
5.12.8.4 ISO/IEC JTC 1/SC 42
5.12.8.5 ISO/IEC JTC1/SC3 1
5.12.8.6 ISO/IEC JTC1/SC2 7
6 PREDICTIVE MAINTENANCE MARKET, BY COMPONENT (Page No. - 98)
6.1 INTRODUCTION
6.1.1 COMPONENTS: COVID-19 IMPACT
FIGURE 28 SERVICES SEGMENT EXPECTED TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 9 MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 10 MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
6.2 SOLUTIONS
6.2.1 REAL-TIME ASSET MONITORING ENABLES ORGANIZATIONS TO IMPLEMENT PROACTIVE MAINTENANCE STRATEGIES
6.2.2 SOLUTIONS: MARKET DRIVERS
FIGURE 29 STANDALONE SOLUTIONS SEGMENT EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 11 MARKET, BY SOLUTIONS, 2015–2020 (USD MILLION)
TABLE 12 MARKET, BY SOLUTIONS, 2021–2026 (USD MILLION)
TABLE 13 PREDICTIVE MAINTENANCE SOLUTIONS MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 14 PREDICTIVE MAINTENANCE SOLUTIONS MARKET, BY REGION, 2021–2026 (USD MILLION)
6.2.3 INTEGRATED
TABLE 15 PREDICTIVE MAINTENANCE INTEGRATED SOLUTIONS MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 16 PREDICTIVE MAINTENANCE INTEGRATED SOLUTIONS MARKET, BY REGION, 2021–2026 (USD MILLION)
6.2.4 STANDALONE
TABLE 17 PREDICTIVE MAINTENANCE STANDALONE SOLUTIONS MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 18 PREDICTIVE MAINTENANCE STANDALONE SOLUTIONS MARKET, BY REGION, 2021–2026 (USD MILLION)
6.3 SERVICES
6.3.1 ADOPTION OF PREDICTIVE MAINTENANCE SERVICES TO REDUCE RISK AND FAILURE OF MACHINE
6.3.2 SERVICES: PREDICTIVE MAINTENANCE MARKET DRIVERS
FIGURE 30 MANAGED SERVICES SEGMENT EXPECTED TO GROW AT HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 19 MARKET, BY SERVICES, 2015–2020 (USD MILLION)
TABLE 20 MARKET, BY SERVICES, 2021–2026 (USD MILLION)
TABLE 21 PREDICTIVE MAINTENANCE SERVICES MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 22 PREDICTIVE MAINTENANCE SERVICES MARKET, BY REGION, 2021–2026 (USD MILLION)
6.3.3 PROFESSIONAL SERVICES
FIGURE 31 SUPPORT AND MAINTENANCE SEGMENT EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 23 PREDICTIVE MAINTENANCE PROFESSIONAL SERVICES MARKET, BY TYPE, 2015–2020 (USD MILLION)
TABLE 24 PREDICTIVE MAINTENANCE PROFESSIONAL SERVICES MARKET, BY TYPE, 2021–2026 (USD MILLION)
TABLE 25 PREDICTIVE MAINTENANCE PROFESSIONAL SERVICES MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 26 PREDICTIVE MAINTENANCE PROFESSIONAL SERVICES MARKET, BY REGION, 2021–2026 (USD MILLION)
6.3.3.1 System integration
TABLE 27 PREDICTIVE MAINTENANCE SYSTEM INTEGRATION SERVICES MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 28 PREDICTIVE MAINTENANCE SYSTEM INTEGRATION SERVICES MARKET, BY REGION, 2021–2026 (USD MILLION)
6.3.3.2 Support and maintenance
TABLE 29 PREDICTIVE MAINTENANCE SUPPORT AND MAINTENANCE SERVICES MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 30 PREDICTIVE MAINTENANCE SUPPORT AND MAINTENANCE SERVICES MARKET, BY REGION, 2021–2026 (USD MILLION)
6.3.3.3 Consulting
TABLE 31 PREDICTIVE MAINTENANCE CONSULTING SERVICES MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 32 PREDICTIVE MAINTENANCE CONSULTING SERVICES MARKET, BY REGION, 2021–2026 (USD MILLION)
6.3.4 MANAGED SERVICES
6.3.4.1 Increasing need of IT Infrastructure support to drive the growth of managed services
TABLE 33 PREDICTIVE MAINTENANCE MANAGED SERVICES MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 34 PREDICTIVE MAINTENANCE MANAGED SERVICES MARKET, BY REGION, 2021–2026 (USD MILLION)
7 PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE (Page No. - 113)
7.1 INTRODUCTION
7.1.1 DEPLOYMENT MODE: COVID-19 IMPACT
FIGURE 32 CLOUD SEGMENT EXPECTED TO ACCOUNT FOR A LARGER MARKET SIZE DURING THE FORECAST PERIOD
TABLE 35 MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 36 MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
7.2 CLOUD
7.2.1 REDUCED OPERATIONAL COST AND HIGHER SCALABILITY TO ENABLE GROWTH IN CLOUD-BASED DEPLOYMENTS
7.2.2 CLOUD: MARKET DRIVERS
FIGURE 33 HYBRID CLOUD SEGMENT EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 37 PREDICTIVE MAINTENANCE CLOUD DEPLOYMENT MARKET, BY TYPE, 2015–2020 (USD MILLION)
TABLE 38 PREDICTIVE MAINTENANCE CLOUD DEPLOYMENT MARKET, BY TYPE, 2021–2026 (USD MILLION)
TABLE 39 PREDICTIVE MAINTENANCE CLOUD DEPLOYMENT MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 40 PREDICTIVE MAINTENANCE CLOUD DEPLOYMENT MARKET, BY REGION, 2021–2026 (USD MILLION)
7.2.3 PUBLIC CLOUD
TABLE 41 PREDICTIVE MAINTENANCE PUBLIC CLOUD DEPLOYMENT MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 42 PREDICTIVE MAINTENANCE PUBLIC CLOUD DEPLOYMENT MARKET, BY REGION, 2021–2026 (USD MILLION)
7.2.4 PRIVATE CLOUD
TABLE 43 PREDICTIVE MAINTENANCE PRIVATE CLOUD DEPLOYMENT MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 44 PREDICTIVE MAINTENANCE PRIVATE CLOUD DEPLOYMENT MARKET, BY REGION, 2021–2026 (USD MILLION)
7.2.5 HYBRID CLOUD
TABLE 45 PREDICTIVE MAINTENANCE HYBRID CLOUD DEPLOYMENT MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 46 PREDICTIVE MAINTENANCE HYBRID CLOUD DEPLOYMENT MARKET, BY REGION, 2021–2026 (USD MILLION)
7.3 ON-PREMISES
7.3.1 RISING COST OF SUPPORT AND MAINTENANCE IMPACTING THE GROWTH OF ON-PREMISES SOLUTION
7.3.2 ON-PREMISES: PREDICTIVE MAINTENANCE MARKET DRIVERS
TABLE 47 ON-PREMISES: MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 48 ON-PREMISES: MARKET, BY REGION, 2021–2026 (USD MILLION)
8 PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE (Page No. - 123)
8.1 INTRODUCTION
8.1.1 ORGANIZATION SIZE: COVID-19 IMPACT
FIGURE 34 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 49 MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 50 MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
8.2 LARGE ENTERPRISES
8.2.1 LARGE ENTERPRISES: MARKET DRIVERS
TABLE 51 LARGE ENTERPRISES MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 52 LARGE ENTERPRISES MARKET, BY REGION, 2021–2026 (USD MILLION)
8.3 SMALL AND MEDIUM-SIZED ENTERPRISES
8.3.1 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET DRIVERS
TABLE 53 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 54 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET, BY REGION, 2021–2026 (USD MILLION)
9 PREDICTIVE MAINTENANCE MARKET, BY VERTICAL (Page No. - 128)
9.1 INTRODUCTION
9.1.1 VERTICALS: COVID-19 IMPACT
FIGURE 35 ENERGY AND UTILITIES VERTICAL EXPECTED TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 55 MARKET, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 56 MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
9.2 GOVERNMENT AND DEFENSE
9.2.1 INITIATIVES TAKEN BY THE GOVERNMENT TO IMPROVE THE LIFESTYLE OF CITIZENS
9.2.2 GOVERNMENT AND DEFENSE: MARKET DRIVERS
TABLE 57 GOVERNMENT AND DEFENSE: MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 58 GOVERNMENT AND DEFENSE: MARKET, BY REGION, 2021–2026 (USD MILLION)
9.3 MANUFACTURING
9.3.1 IOT TO CHANGE THE WAYS OF PRODUCT DEVELOPMENT, MANUFACTURING, TRANSPORTATION, AND SELLING
9.3.2 MANUFACTURING: PREDICTIVE MAINTENANCE MARKET DRIVERS
TABLE 59 MANUFACTURING: MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 60 MANUFACTURING: MARKET, BY REGION, 2021–2026 (USD MILLION)
9.4 ENERGY AND UTILITIES
9.4.1 NEED FOR NEW DATA SOURCES, NEW PROGRAMS, AND EFFICIENT MANAGEMENT OF RESOURCES
9.4.2 ENERGY AND UTILITIES: MARKET DRIVERS
TABLE 61 ENERGY AND UTILITIES: MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 62 ENERGY AND UTILITIES: MARKET, BY REGION, 2021–2026 (USD MILLION)
9.5 TRANSPORTATION AND LOGISTICS
9.5.1 INITATIVES TAKEN TO IMPROVE THE CORE FUNCTIONS, OPTIMIZE MARKETING, AND ENHANCE RISK MANAGEMENT FUNCTIONS
9.5.2 TRANSPORTATION AND LOGISTICS: MARKET DRIVERS
TABLE 63 TRANSPORTATION AND LOGISTICS: MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 64 TRANSPORTATION AND LOGISTICS: MARKET, BY REGION, 2021–2026 (USD MILLION)
9.6 HEALTHCARE AND LIFE SCIENCES
9.6.1 INTRODUCING NEW DIAGNOSTIC EQUIPMENT, PATIENT MONITORING TOOLS, AND OPERATIONAL TECHNOLOGIES FOR IMPROVED PATIENT CARE
9.6.2 HEALTHCARE AND LIFE SCIENCES: PREDICTIVE MAINTENANCE MARKET DRIVERS
TABLE 65 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 66 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION, 2021–2026 (USD MILLION)
9.7 OTHER VERTICALS
TABLE 67 OTHER VERTICALS: MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 68 OTHER VERTICALS: MARKET, BY REGION, 2021–2026 (USD MILLION)
10 PREDICTIVE MAINTENANCE MARKET, BY REGION (Page No. - 140)
10.1 INTRODUCTION
10.2 COVID-19 IMPACT
FIGURE 36 JAPAN EXPECTED TO ACHIEVE THE HIGHEST CAGR IN THE MARKET DURING THE FORECAST PERIOD
TABLE 69 MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 70 MARKET, BY REGION, 2021–2026 (USD MILLION)
FIGURE 37 NORTH AMERICA EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE IN THE PREDICTIVE MAINTENANCE MARKET DURING THE FORECAST PERIOD
10.3 NORTH AMERICA
10.3.1 NORTH AMERICA: OPERATIONAL DRIVERS
10.3.2 NORTH AMERICA: REGULATIONS
10.3.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
10.3.2.2 Gramm-Leach-Bliley Act
10.3.2.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996
10.3.2.4 Federal Information Security Management Act (FISMA)
10.3.2.5 Federal Information Processing Standards (FIPS)
10.3.2.6 California Consumer Privacy Act (CSPA)
FIGURE 38 NORTH AMERICA MARKET SNAPSHOT
TABLE 71 NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 72 NORTH AMERICA: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 73 NORTH AMERICA: MARKET, BY SOLUTIONS, 2015–2020 (USD MILLION)
TABLE 74 NORTH AMERICA: MARKET, BY SOLUTIONS, 2021–2026 (USD MILLION)
TABLE 75 NORTH AMERICA: MARKET SIZE, BY SERVICES, 2015–2020 (USD MILLION)
TABLE 76 NORTH AMERICA: MARKET, BY SERVICES, 2021–2026 (USD MILLION)
TABLE 77 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICES, 2015–2020 (USD MILLION)
TABLE 78 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICES, 2021–2026 (USD MILLION)
TABLE 79 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 80 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 81 NORTH AMERICA: MARKET, BY CLOUD TYPE, 2015–2020 (USD MILLION)
TABLE 82 NORTH AMERICA: MARKET, BY CLOUD TYPE, 2021–2026 (USD MILLION)
TABLE 83 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 84 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 85 NORTH AMERICA: MARKET, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 86 NORTH AMERICA: MARKET, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 87 NORTH AMERICA: MARKET, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 88 NORTH AMERICA: MARKET, BY COUNTRY, 2021–2026 (USD MILLION)
10.3.3 UNITED STATES
TABLE 89 UNITED STATES: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 90 UNITED STATES: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 91 UNITED STATES: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 92 UNITED STATES: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 93 UNITED STATES: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 94 UNITED STATES: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.3.4 CANADA
TABLE 95 CANADA: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 96 CANADA: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 97 CANADA: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 98 CANADA: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 99 CANADA: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 100 CANADA: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.4 EUROPE
10.4.1 EUROPE: OPERATIONAL DRIVERS
10.4.2 EUROPE: REGULATIONS
10.4.2.1 General Data Protection Regulation (GDPR)
10.4.2.2 European Committee for Standardization (CEN)
10.4.2.3 EU’s General Court
TABLE 101 EUROPE: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 102 EUROPE: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 103 EUROPE: MARKET, BY SOLUTIONS, 2015–2020 (USD MILLION)
TABLE 104 EUROPE: MARKET, BY SOLUTIONS, 2021–2026 (USD MILLION)
TABLE 105 EUROPE: MARKET, BY SERVICES, 2015–2020 (USD MILLION)
TABLE 106 EUROPE: MARKET, BY SERVICES, 2021–2026 (USD MILLION)
TABLE 107 EUROPE: MARKET, BY PROFESSIONAL SERVICES, 2015–2020 (USD MILLION)
TABLE 108 EUROPE: MARKET, BY PROFESSIONAL SERVICES, 2021–2026 (USD MILLION)
TABLE 109 EUROPE: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 110 EUROPE: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 111 EUROPE: MARKET, BY CLOUD TYPE, 2015–2020 (USD MILLION)
TABLE 112 EUROPE: MARKET, BY CLOUD TYPE, 2021–2026 (USD MILLION)
TABLE 113 EUROPE: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 114 EUROPE: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 115 EUROPE: MARKET, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 116 EUROPE: MARKET, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 117 EUROPE: MARKET, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 118 EUROPE: MARKET, BY COUNTRY, 2021–2026 (USD MILLION)
10.4.3 UNITED KINGDOM
TABLE 119 UNITED KINGDOM: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 120 UNITED KINGDOM: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 121 UNITED KINGDOM: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 122 UNITED KINGDOM: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 123 UNITED KINGDOM: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 124 UNITED KINGDOM: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.4.4 GERMANY
TABLE 125 GERMANY: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 126 GERMANY: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 127 GERMANY: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 128 GERMANY: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 129 GERMANY: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 130 GERMANY: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.4.5 FRANCE
TABLE 131 FRANCE: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 132 FRANCE: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 133 FRANCE: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 134 FRANCE: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 135 FRANCE: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 136 FRANCE: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.4.6 ITALY
TABLE 137 ITALY: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 138 ITALY: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 139 ITALY: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 140 ITALY: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 141 ITALY: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 142 ITALY: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.4.7 RUSSIA
TABLE 143 RUSSIA: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 144 RUSSIA: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 145 RUSSIA: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 146 RUSSIA: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 147 RUSSIA: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 148 RUSSIA: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.4.8 REST OF EUROPE
TABLE 149 REST OF EUROPE: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 150 REST OF EUROPE: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 151 REST OF EUROPE: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 152 REST OF EUROPE: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 153 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 154 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.5 ASIA PACIFIC
10.5.1 ASIA PACIFIC: OPERATIONAL DRIVERS
10.5.2 ASIA PACIFIC: REGULATIONS
10.5.2.1 Personal Data Protection Act (PDPA)
10.5.2.2 International Organization for Standardization (ISO) 27001
FIGURE 39 ASIA PACIFIC AMERICA MARKET SNAPSHOT
TABLE 155 ASIA PACIFIC: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 156 ASIA PACIFIC: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 157 ASIA PACIFIC: MARKET, BY SOLUTIONS, 2015–2020 (USD MILLION)
TABLE 158 ASIA PACIFIC: MARKET, BY SOLUTIONS, 2021–2026 (USD MILLION)
TABLE 159 ASIA PACIFIC: MARKET, BY SERVICES, 2015–2020 (USD MILLION)
TABLE 160 ASIA PACIFIC: MARKET, BY SERVICES, 2021–2026 (USD MILLION)
TABLE 161 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICES, 2015–2020 (USD MILLION)
TABLE 162 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICES, 2021–2026 (USD MILLION)
TABLE 163 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 164 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 165 ASIA PACIFIC: MARKET, BY CLOUD TYPE, 2015–2020 (USD MILLION)
TABLE 166 ASIA PACIFIC: MARKET, BY CLOUD TYPE, 2021–2026 (USD MILLION)
TABLE 167 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 168 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 169 ASIA PACIFIC: MARKET, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 170 ASIA PACIFIC: MARKET, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 171 ASIA PACIFIC: MARKET, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 172 ASIA PACIFIC: MARKET, BY COUNTRY, 2021–2026 (USD MILLION)
10.5.3 CHINA
TABLE 173 CHINA: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 174 CHINA: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 175 CHINA: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 176 CHINA: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 177 CHINA: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 178 CHINA: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.5.4 JAPAN
TABLE 179 JAPAN: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 180 JAPAN: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 181 JAPAN: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 182 JAPAN: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 183 JAPAN: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 184 JAPAN: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.5.5 INDIA
TABLE 185 INDIA: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 186 INDIA: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 187 INDIA: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 188 INDIA: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 189 INDIA: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 190 INDIA: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.5.6 BANGLADESH
TABLE 191 BANGLADESH: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 192 BANGLADESH: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 193 BANGLADESH: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 194 BANGLADESH: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 195 BANGLADESH: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 196 BANGLADESH: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.5.7 REST OF ASIA PACIFIC
TABLE 197 REST OF ASIA PACIFIC: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 198 REST OF ASIA PACIFIC: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 199 REST OF ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 200 REST OF ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 201 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 202 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.6 MIDDLE EAST & AFRICA
10.6.1 MIDDLE EAST & AFRICA: OPERATIONAL DRIVERS
10.6.2 MIDDLE EAST & AFRICA: REGULATIONS
10.6.2.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
10.6.2.2 GDPR Applicability in KSA
10.6.2.3 Protection of Personal Information Act (POPIA)
TABLE 203 MIDDLE EAST & AFRICA: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 204 MIDDLE EAST & AFRICA: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 205 MIDDLE EAST & AFRICA: MARKET, BY SOLUTIONS, 2015–2020 (USD MILLION)
TABLE 206 MIDDLE EAST & AFRICA: MARKET, BY SOLUTIONS, 2021–2026 (USD MILLION)
TABLE 207 MIDDLE EAST & AFRICA: MARKET, BY SERVICES, 2015–2020 (USD MILLION)
TABLE 208 MIDDLE EAST & AFRICA: MARKET, BY SERVICES, 2021–2026 (USD MILLION)
TABLE 209 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICES, 2015–2020 (USD MILLION)
TABLE 210 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICES, 2021–2026 (USD MILLION)
TABLE 211 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 212 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 213 MIDDLE EAST & AFRICA: MARKET, BY CLOUD TYPE, 2015–2020 (USD MILLION)
TABLE 214 MIDDLE EAST & AFRICA: MARKET, BY CLOUD TYPE, 2021–2026 (USD MILLION)
TABLE 215 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 216 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 217 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 218 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 219 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 220 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2021–2026 (USD MILLION)
10.6.3 ISRAEL
TABLE 221 ISRAEL: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 222 ISRAEL: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 223 ISRAEL: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 224 ISRAEL: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 225 ISRAEL: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 226 ISRAEL: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.6.4 UNITED ARAB EMIRATES
TABLE 227 UAE: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 228 UAE: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 229 UAE: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 230 UAE: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 231 UAE: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 232 UAE: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.6.5 QATAR
TABLE 233 QATAR: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 234 QATAR: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 235 QATAR: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 236 QATAR: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 237 QATAR: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 238 QATAR: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.6.6 REST OF MIDDLE EAST & AFRICA
TABLE 239 REST OF MIDDLE EAST & AFRICA: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 240 REST OF MIDDLE EAST & AFRICA: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 241 REST OF MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 242 REST OF MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 243 REST OF MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 244 REST OF MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.7 LATIN AMERICA
10.7.1 LATIN AMERICA: OPERATIONAL DRIVERS
10.7.2 LATIN AMERICA: REGULATIONS
10.7.2.1 Brazil Data Protection Law
10.7.2.2 Argentina Personal Data Protection Law No. 25.326
TABLE 245 LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 246 LATIN AMERICA: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 247 LATIN AMERICA: MARKET, BY SOLUTIONS, 2015–2020 (USD MILLION)
TABLE 248 LATIN AMERICA: MARKET, BY SOLUTIONS, 2021–2026 (USD MILLION)
TABLE 249 LATIN AMERICA: MARKET, BY SERVICES, 2015–2020 (USD MILLION)
TABLE 250 LATIN AMERICA: MARKET, BY SERVICES, 2021–2026 (USD MILLION)
TABLE 251 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICES, 2015–2020 (USD MILLION)
TABLE 252 LATIN AMERICA: MARKET SIZE, BY PROFESSIONAL SERVICES, 2021–2026 (USD MILLION)
TABLE 253 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 254 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 255 LATIN AMERICA: MARKET, BY CLOUD TYPE, 2015–2020 (USD MILLION)
TABLE 256 LATIN AMERICA: MARKET, BY CLOUD TYPE, 2021–2026 (USD MILLION)
TABLE 257 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 258 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 259 LATIN AMERICA: MARKET, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 260 LATIN AMERICA: MARKET, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 261 LATIN AMERICA: MARKET, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 262 LATIN AMERICA: MARKET, BY COUNTRY, 2021–2026 (USD MILLION)
10.7.3 BRAZIL
TABLE 263 BRAZIL: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 264 BRAZIL: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 265 BRAZIL: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 266 BRAZIL: PREDICTIVE MAINTENANCE MARKE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 267 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 268 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.7.4 MEXICO
TABLE 269 MEXICO: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 270 MEXICO: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 271 MEXICO: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 272 MEXICO: PREDICTIVE MAINTENANCE MARKE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 273 MEXICO: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 274 MEXICO: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
10.7.5 REST OF LATIN AMERICA
TABLE 275 REST OF LATIN AMERICA: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 276 REST OF LATIN AMERICA: MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 277 REST OF LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 278 REST OF LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 279 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 280 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
11 COMPETITIVE LANDSCAPE (Page No. - 213)
11.1 OVERVIEW
11.2 KEY PLAYER STRATEGIES
TABLE 281 OVERVIEW OF THE STRATEGIES DEPLOYED BY KEY PLAYERS IN THE PREDICTIVE MAINTENANCE MARKET
11.3 REVENUE ANALYSIS
FIGURE 40 REVENUE ANALYSIS OF KEY COMPANIES IN THE PAST FIVE YEARS
11.4 MARKET SHARE ANALYSIS
FIGURE 41 MARKET: MARKET SHARE ANALYSIS, 2021
TABLE 282 MARKET: DEGREE OF COMPETITION
11.5 COMPANY EVALUATION QUADRANT
11.5.1 STARS
11.5.2 EMERGING LEADERS
11.5.3 PERVASIVE PLAYERS
11.5.4 PARTICIPANTS
FIGURE 42 KEY PREDICTIVE MAINTENANCE MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2021
11.6 COMPETITIVE BENCHMARKING
TABLE 283 COMPANY FOOTPRINT FOR TOP THREE VERTICALS
TABLE 284 COMPANY REGION FOOTPRINT
11.7 STARTUP/SME EVALUATION QUADRANT
11.7.1 PROGRESSIVE COMPANIES
11.7.2 RESPONSIVE COMPANIES
11.7.3 DYNAMIC COMPANIES
11.7.4 STARTING BLOCKS
FIGURE 43 STARTUP/SME MARKET EVALUATION MATRIX, 2021
11.8 COMPETITIVE SCENARIO
11.8.1 PRODUCT LAUNCHES
TABLE 285 PRODUCT LAUNCHES, 2020-2021
11.8.2 DEALS
TABLE 286 DEALS, 2021
12 COMPANY PROFILES (Page No. - 224)
12.1 INTRODUCTION
(Business and Financial Overview, Solutions Offered, Recent Developments, and MnM View)*
12.2 KEY PLAYERS
12.2.1 MICROSOFT
TABLE 287 MICROSOFT: BUSINESS OVERVIEW
FIGURE 44 MICROSOFT: FINANCIAL OVERVIEW
TABLE 288 MICROSOFT: SOLUTIONS OFFERED
TABLE 289 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 290 MICROSOFT: DEALS
12.2.2 IBM
TABLE 291 IBM: BUSINESS OVERVIEW
FIGURE 45 IBM: COMPANY SNAPSHOT
TABLE 292 IBM: SOLUTIONS OFFERED
TABLE 293 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 294 IBM: DEALS
12.2.3 SAP
TABLE 295 SAP: BUSINESS OVERVIEW
FIGURE 46 SAP: COMPANY SNAPSHOT
TABLE 296 SAP: SOLUTIONS OFFERED
TABLE 297 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 298 SAP: DEALS
12.2.4 SAS INSTITUTE
TABLE 299 SAS INSTITUTE: BUSINESS OVERVIEW
FIGURE 47 SAS INSTITUTE: COMPANY SNAPSHOT
TABLE 300 SAS INSTITUTE: SOLUTIONS OFFERED
TABLE 301 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 302 SAS INSTITUTE: DEALS
12.2.5 SOFTWARE AG
TABLE 303 SOFTWARE AG: BUSINESS OVERVIEW
TABLE 304 SOFTWARE AG: SOLUTIONS OFFERED
TABLE 305 SOFTWARE AG: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 306 SOFTWARE AG: DEALS
12.2.6 TIBCO SOFTWARE
TABLE 307 TIBCO SOFTWARE: BUSINESS OVERVIEW
TABLE 308 TIBCO SOFTWARE: SOLUTIONS OFFERED
TABLE 309 TIBCO SOFTWARE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 310 TIBCO SOFTWARE: DEALS
12.2.7 HPE
TABLE 311 HPE: BUSINESS OVERVIEW
TABLE 312 HPE: SOLUTIONS OFFERED
TABLE 313 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 314 HPE: DEALS
12.2.8 ALTAIR
TABLE 315 ALTAIR: BUSINESS OVERVIEW
TABLE 316 ALTAIR: SOLUTIONS OFFERED
TABLE 317 ALTAIR: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 318 ALTAIR: DEALS
12.2.9 SPLUNK
TABLE 319 SPLUNK: BUSINESS OVERVIEW
TABLE 320 SPLUNK: SOLUTIONS OFFERED
TABLE 321 SPLUNK: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 322 SPLUNK: DEALS
12.2.10 ORACLE
TABLE 323 ORACLE: BUSINESS OVERVIEW
TABLE 324 ORACLE: SOLUTIONS OFFERED
TABLE 325 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 326 ORACLE: DEALS
12.2.11 GOOGLE
TABLE 327 GOOGLE: BUSINESS OVERVIEW
TABLE 328 GOOGLE: SOLUTIONS OFFERED
TABLE 329 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 330 GOOGLE: DEALS
12.2.12 AWS
TABLE 331 AWS: BUSINESS OVERVIEW
TABLE 332 AWS: SOLUTIONS OFFERED
TABLE 333 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 334 AWS: DEALS
12.2.13 GE
TABLE 335 GE: BUSINESS OVERVIEW
FIGURE 48 GE: COMPANY SNAPSHOT
TABLE 336 GE: SOLUTIONS OFFERED
TABLE 337 GE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 338 GE: DEALS
12.2.14 SCHNEIDER ELECTRIC
TABLE 339 SCHNEIDER ELECTRIC: BUSINESS OVERVIEW
FIGURE 49 SCHNEIDER ELECTRIC: COMPANY SNAPSHOT
TABLE 340 SCHNEIDER ELECTRIC: SOLUTIONS OFFERED
TABLE 341 SCHNEIDER ELECTRIC: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 342 SCHNEIDER ELECTRIC: DEALS
12.2.15 HITACHI
TABLE 343 HITACHI: BUSINESS OVERVIEW
FIGURE 50 HITACHI: COMPANY SNAPSHOT
TABLE 344 HITACHI: SOLUTIONS OFFERED
TABLE 345 HITACHI: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 346 HITACHI: DEALS
12.2.16 PTC
TABLE 347 PTC: BUSINESS OVERVIEW
FIGURE 51 PTC: COMPANY SNAPSHOT
TABLE 348 PTC: SOLUTIONS OFFERED
TABLE 349 PTC: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 350 PTC: DEALS
12.2.17 RAPIDMINER
12.2.18 OPEX GROUP
12.2.19 DINGO
12.2.20 FACTORY5
* Business and Financial Overview, Solutions Offered, Recent Developments, and MnM View might not be captured in case of unlisted companies.
13 APPENDIX (Page No. - 273)
13.1 ADJACENT AND RELATED MARKETS
13.1.1 CUSTOMER JOURNEY ANALYTICS MARKET—GLOBAL FORECAST TO 2026
13.1.1.1 Market definition
13.1.1.2 Market overview
13.1.1.2.1 Customer journey analytics market, by component
TABLE 351 CUSTOMER JOURNEY ANALYTICS MARKET, BY COMPONENT, 2015–2019 (USD MILLION)
TABLE 352 CUSTOMER JOURNEY ANALYTICS MARKET, BY COMPONENT, 2020–2026 (USD MILLION)
13.1.1.2.2 Customer journey analytics market, by application
TABLE 353 CUSTOMER JOURNEY ANALYTICS MARKET, BY APPLICATION, 2015–2019 (USD MILLION)
TABLE 354 CUSTOMER JOURNEY ANALYTICS MARKET, BY APPLICATION, 2020–2026 (USD MILLION)
13.1.1.2.3 Customer journey analytics market, by deployment mode
TABLE 355 CUSTOMER JOURNEY ANALYTICS MARKET, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
TABLE 356 CUSTOMER JOURNEY ANALYTICS MARKET, BY DEPLOYMENT MODE, 2020–2026 (USD MILLION)
13.1.1.2.4 Customer journey analytics market, by organization size
TABLE 357 CUSTOMER JOURNEY ANALYTICS MARKET, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
TABLE 358 CUSTOMER JOURNEY ANALYTICS MARKET, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)
13.1.1.2.5 Customer journey analytics market, by industry vertical
TABLE 359 CUSTOMER JOURNEY ANALYTICS MARKET, BY VERTICAL, 2015–2019 (USD MILLION)
TABLE 360 CUSTOMER JOURNEY ANALYTICS MARKET, BY VERTICAL, 2020–2026 (USD MILLION)
13.1.1.2.6 Customer journey analytics market, by region
TABLE 361 CUSTOMER JOURNEY ANALYTICS MARKET, BY REGION, 2015–2019 (USD MILLION)
TABLE 362 CUSTOMER JOURNEY ANALYTICS MARKET, BY REGION, 2020–2026 (USD MILLION)
13.1.2 BIG DATA MARKET - GLOBAL FORECAST TO 2025
13.1.2.1 Market definition
13.1.2.2 Market overview
13.1.2.2.1 Big data market, by component
TABLE 363 BIG DATA MARKET, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 364 SOLUTIONS: BIG DATA MARKET, BY TYPE, 2018–2025 (USD MILLION)
TABLE 365 BIG DATA MARKET, BY SERVICE, 2018–2025 (USD MILLION)
TABLE 366 PROFESSIONAL SERVICES MARKET, BY TYPE, 2018–2025 (USD MILLION)
13.1.2.2.2 Big data market, by deployment mode
TABLE 367 BIG DATA MARKET, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
TABLE 368 CLOUD: BIG DATA MARKET, BY TYPE, 2018–2025 (USD MILLION)
13.1.2.2.3 Big data market, by organization size
TABLE 369 BIG DATA MARKET, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
13.1.2.2.4 Big data market, by business function
TABLE 370 BIG DATA MARKET, BY BUSINESS FUNCTION, 2018–2025 (USD MILLION)
13.1.2.2.5 Big data market, by industry vertical
TABLE 371 BIG DATA MARKET, BY INDUSTRY VERTICAL, 2018–2025 (USD MILLION)
13.1.2.2.6 Big data market, by region
TABLE 372 BIG DATA MARKET, BY REGION, 2018–2025 (USD MILLION)
13.2 DISCUSSION GUIDE
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.4 AVAILABLE CUSTOMIZATIONS
13.5 RELATED REPORTS
13.6 AUTHOR DETAILS
The research study for the predictive maintenance market report involved the use of extensive secondary sources, directories, as well as several journals and magazines to identify and collect information that is useful for this technical and market-oriented study. During the production cycle of the report, in-depth interviews were conducted with various primary respondents, including key opinion leaders, subject-matter experts, high-level executives of various companies offering predictive maintenance solutions and services, and industry consultants, to obtain and verify critical qualitative and quantitative information, as well as, assess the market prospects and industry trends.
Secondary Research
In the secondary research process, various sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports, press releases, investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.
Primary Research
Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from predictive maintenance solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
The following is the breakup of primary profiles:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Top-down and bottom-up approaches were used to estimate and validate the size of the global predictive maintenance market and various other dependent subsegments. The research methodology used to estimate the market size included the following details: the key players not limited to IBM, Microsoft, SAP, SAS, Oracle and Google in the market were identified through extensive secondary research, and their revenue contribution in the respective regions were determined through primary and secondary research. The entire procedure included the study of the annual and financial reports of top market players and extensive interviews for key insights from industry leaders, such as CEOs, VPs, directors, and marketing executives. All percentage splits and breakups were determined using secondary sources and verified through primary sources.
All the possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.
- The pricing trend is assumed to vary over time.
- All the forecasts are made with the standard assumption that the accepted currency is USD.
- For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website is used.
- All the forecasts are made under the standard assumption that the globally accepted currency USD remains constant during the next five years.
- Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors in the market.
Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on predictive maintenance solutions based on some of the key use cases. These factors for the predictive maintenance industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Report Objectives
- To define, describe, and predict the predictive maintenance market by component (platform and services), professional service, organization size, deployment mode, application, vertical, and region
- To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
- To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
- To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
- To profile key players and comprehensively analyze their market rankings and core competencies
- To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the predictive maintenance market
- To analyze the impact of the COVID-19 pandemic on the predictive maintenance market
Available customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product analysis
- Product matrix provides a detailed comparison of the product portfolio of each company
Geographic analysis
- Further breakup of the North American predictive maintenance market
- Further breakup of the European market
- Further breakup of the APAC market
- Further breakup of the Latin American market
- Further breakup of the MEA market
Company information
- Detailed analysis and profiling of additional market players up to 5
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