Predictive Maintenance Market

Predictive Maintenance Market by Component (Solutions, Services), Deployment Mode (On-premises, Cloud), Organization Size (Large Enterprises, SME), Vertical and Region - Global Forecast to 2026

Report Code: TC 4154 Mar, 2022, by marketsandmarkets.com

[294 Pages Report] The global Predictive Maintenance Market size was valued USD 4.2 billion in 2021 and is estimated to reach USD 15.9 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 30.6% during the forecast period. 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.

Predictive Maintenance Market

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Market Dynamics

Driver:  Increasing use of emerging technologies to gain valuable insights

The continuous developments in big data, Machine-to-Machine (M2M) communication, and cloud technology have created new possibilities for the investigation of information derived from industrial assets. IoT devices generate a huge amount of data from various sources, such as sensors, cameras, and other connected devices. The data, however, does not provide any value by itself unless anybody converts it into actionable, contextual information. Big data and data visualization techniques enable users to gain new insights through batch processing and offline analysis. Real-time data analysis and decision-making are often done manually; but to make it scalable, it is preferred to be done automatically. The main role of AI technology is to investigate huge volumes of data produced by various components of the IoT ecosystem and transform the data into meaningful insights. Enterprises are integrating AI into their predefined analytical models to automate the data interpretation process and gain real-time insights from the data generated from these IoT devices. AI provides enterprises with frameworks and tools to analyze real-time data and derive multiple use cases for IoT.

Restraint: Lack of skilled workforce

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. 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. These technologies would play a critical role in the overall reduction of operational costs. 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

Improved asset management is increasingly needed across almost every vertical. Solution providers equipped with AI and ML can collect and turn the vast amount of customer-related data into meaningful insights, as IoT generates a huge amount of data from connected devices. AI can also be integrated with the IoT devices to optimize 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, M2M communication, and cloud technology enable condition monitoring in real-time. 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: Frequent maintenance and upgradation requirement to keep the systems updated

Enterprises are adopting AI-based IoT solutions for predictive maintenance and enhanced customer experience. The vendors in the market must develop predictive maintenance systems considering two important factors, namely maintenance and updates. An AI-based IoT system needs to be updated and maintained as per the changing business requirements to implement technological upgrades. The software also needs to be upgraded, as new components are added. The new system must be integrated with the existing one, as well as the additional one. With an increase in the number of systems, the maintenance cost also increases. Maintaining and upgrading AI-based IoT systems is going to be a challenging task for companies that offer solutions without any interruption.

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.

Predictive Maintenance Market by Region

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Key Market Players

The predictive maintenance  market 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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Scope of the Report

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

By Deployment Mode:

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.

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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:

Predictive Maintenance Market Size, and Share

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
Predictive Maintenance Market Size,  Share & Growth Report
Report Code
TC 4154
Published ON
Mar, 2022
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