Predictive Maintenance Market

Predictive Maintenance Market by Component (Solutions and Services), Deployment Mode, Organization Size, Vertical (Government and Defense, Manufacturing, Energy and Utilities, Transportation and Logistics), and Region - Global Forecast to 2024

[144 Pages Report] MarketsandMarkets forecasts the global predictive maintenance market size to grow from USD 3.0 billion in 2019 to USD 10.7 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 28.8% during the forecast period. The major growth drivers of the market include the increasing use of emerging technologies to gain valuable insights, and growing need to reduce maintenance cost and downtime.

Predictive Maintenance Market

To know about the assumptions considered for the study, download the pdf brochure

Among verticals, the energy and utilities segment to grow at the highest CAGR during the forecast period

Predictive maintenance is segmented on the basis of verticals. The verticals include government and defense, manufacturing, transportation and logistics, energy and utilities, healthcare and life sciences, and others (agriculture, telecom, media, and retail). The energy and utilities segment is the fastest growing segment in the predictive maintenance market due to the growing demand of power-usage analytics applications.

Deployment via the cloud to grow at a rapid pace during the forecast period

Most of the vendors in the predictive maintenance market offer cloud-based maintenance solutions to gain maximum profits and effectively automate the equipment maintenance process. The adoption of cloud-based predictive maintenance solutions is expected to grow, mainly due to their benefits, such as easy maintenance of generated data, cost-effectiveness, scalability, and effective management.

Predictive Maintenance Market

North America to hold the largest market size during the forecast period

North America is expected to hold the largest market size in the global predictive maintenance market, while Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period. In APAC, the highest growth rate can be attributed to the massive investments made by private and public sectors for enhancing their maintenance solutions, resulting in an increased demand for predictive maintenance solutions used for automating the maintenance and plant safety process.

North America is expected to be the leading region in terms of adopting and developing predictive maintenance. The rising investments in emerging technologies such as IoT, AI, ML, the increasing presence of predictive maintenance vendors, and growing government support for regulatory compliance are the major factors expected to contribute to the market growth during the forecast period.

Key Predictive Maintenance Market Players

Major vendors in the global market include IBM (US), Microsoft (US), SAP (Germany), GE (US), Schneider Electric  (France), Hitachi (Japan), PTC (US), Software AG (Germany), SAS (US), TIBCO (US), C3 IoT (US), Uptake (US), Softweb Solutions (US), Asystom (France), Ecolibrium Energy (India), Fiix (Canada), OPEX Group (UK), Dingo (Australia), Sigma Industrial Precision (Spain). These vendors have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their presence in the global predictive maintenance market further.

IBM (US) is one of the leading providers of predictive maintenance solutions. The company offers maintenance solutions that can monitor, maintain, and optimize assets for better availability, utilization, and performance. It helps organizations to optimize maintenance programs by developing a set of recommendations to carry out when specific changes in asset health are identified. These recommendations could be based upon the analysis of historical maintenance records, best practices and procedures provided by subject matter experts, original equipment manufacturer recommendations, as well as analysis of correlations that indicate potential problems or pending asset failure.

Recent Developments

  • In February 2019, PTC announced the availability of a new version of its award-winning ThingWorx Industrial Internet of Things (IIoT) solution platform. The company enhanced its ThingWorx platform by introducing new capabilities, including Operator Advisor, designed to increase the productivity of factory workers by simplifying the way critical operational data is collected, synthesized, and delivered
  • In July 2018, GE partnered with Microsoft to standardize its Predix solutions on Microsoft Azure and to integrate the Predix portfolio with Microsoft Azure’s native cloud capabilities, including Azure IoT and Azure Data and Analytics. Moreover, GE would leverage Microsoft Azure across its business for additional IT workloads and productivity tools, including internal Predix-based deployments.
  • In November 2018, Software AG launched its next-generation open and enterprise-grade cloud platform, Software AG Cloud, for building, testing, deploying, and managing simple and complex apps, and cloud-enabled enterprise and IoT applications.

Critical Questions the Report Answers

  • What are the current trends that are driving the predictive maintenance market?
  • In which vertical most of the industrial companies are deploying predictive maintenance solutions?
  • Where will all these developments take the industry in the mid- to long-term?
  • Who are the top vendors in the market and what is their competitive analysis?
  • What are the drivers and challenges of the market?

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 17)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Market Segmentation
           1.3.2 Regions Covered
    1.4 Years Considered for the Study
    1.5 Currency Considered
    1.6 Stakeholders

2 Research Methodology (Page No. - 20)
    2.1 Research Data
           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
           2.3.1 Top-Down Approach
           2.3.2 Bottom-Up Approach
    2.4 Market Forecast
    2.5 Assumptions for the Study
    2.6 Limitations of the Study

3 Executive Summary (Page No. - 27)

4 Premium Insights (Page No. - 32)
    4.1 Attractive Market Opportunities in the Predictive Maintenance Market
    4.2 Market Top 3 Verticals
    4.3 Market By Region
    4.4 Market in North America, By Component and Deployment Mode

5 Market Overview and Industry Trends (Page No. - 34)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Increasing Use of Emerging Technologies to Gain Valuable Insights
                    5.2.1.2 Growing Need to Reduce Maintenance Cost and Downtime
           5.2.2 Restraints
                    5.2.2.1 Lack of Skilled Workforce
           5.2.3 Opportunities
                    5.2.3.1 Real-Time Condition Monitoring to Assist in Taking Prompt Actions
           5.2.4 Challenges
                    5.2.4.1 Companies’ Concern Over Data Security and Privacy Issues
                    5.2.4.2 Frequent Maintenance and Upgradation Requirement to Keep Systems Updated
    5.3 Use Cases
           5.3.1 Introduction
                    5.3.1.1 Use Case: Scenario 1
                    5.3.1.2 Use Case: Scenario 2
                    5.3.1.3 Use Case: Scenario 3
                    5.3.1.4 Use Case: Scenario 4
                    5.3.1.5 Use Case: Scenario 5
    5.4 Regulatory Implications
           5.4.1 Introduction
           5.4.2 General Data Protection Regulation
           5.4.3 Health Insurance Portability and Accountability Act
           5.4.4 Federal Trade Commission
           5.4.5 Federal Communications Commission
           5.4.6 Iso/IEC Standards
                    5.4.6.1 ISO 55000 Standards
                    5.4.6.2 ISO 13374 on Condition Monitoring and Diagnostics of Machines
                    5.4.6.3 ISO/IEC JTC 1
                    5.4.6.4 ISO/IEC JTC 1/SC 42
                    5.4.6.5 ISO/IEC JTC1/SC3 1
                    5.4.6.6 ISO/IEC JTC1/SC2 7
           5.4.7 Industrial Internet Consortium Reference Architecture
           5.4.8 CEN/ISO
                    5.4.8.1 CEN/Cenelec
           5.4.9 National Institute of Standards and Technology
           5.4.10 Eprivacy
           5.4.11 ANSI Tappi Tip 0305-34:2008
           5.4.12 Mimosa

6 Predictive Maintenance Market By Component (Page No. - 45)
    6.1 Introduction
    6.2 Solutions
           6.2.1 Integrated
                    6.2.1.1 Growing Adoption of the Integrated Solution as It Integrates Multiple Capabilities Within A Single Solution
           6.2.2 Standalone
                    6.2.2.1 Increasing Demand for Advanced and Vertical-Focused Predictive Maintenance Capabilities to Drive the Growth of Standalone Solutions
    6.3 Services
           6.3.1 System Integration
                    6.3.1.1 Predictive Maintenance Vendors to Offer System Integration Services to Overcome System-Related Issues Effectively
           6.3.2 Support and Maintenance
                    6.3.2.1 Growing Deployment of Predictive Maintenance Solution to Increase the Demand for Support and Maintenance Services
           6.3.3 Consulting
                    6.3.3.1 Technicalities Involved in Implementing Predictive Maintenance Solution to Boost the Growth of Consulting Services

7 Predictive Maintenance Market By Deployment Mode (Page No. - 51)
    7.1 Introduction
    7.2 Cloud
           7.2.1 Benefits, Such as Scalability and Ease of Implementation, to Boost the Growth of the Cloud Deployment Mode
    7.3 On-Premises
           7.3.1 Data-Sensitive Organizations to Adopt the On-Premises Deployment Mode for Predictive Maintenance Solutions

8 Predictive Maintenance Market By Organization Size (Page No. - 54)
    8.1 Introduction
    8.2 Large Enterprises
           8.2.1 Large Enterprises to Adopt Predictive Maintenance Solutions to Optimize Operational Maintenance Processes
    8.3 Small and Medium-Sized Enterprises
           8.3.1 Small and Medium-Sized Enterprises to Adopt Predictive Maintenance Solutions With Rising Technological Advancement

9 Predictive Maintenance Market By Vertical (Page No. - 57)
    9.1 Introduction
    9.2 Government and Defense
           9.2.1 Government and Defense Vertical to Adopt Predictive Maintenance Solutions for Automating the Defense System
    9.3 Manufacturing
           9.3.1 Growing Need to Track, Diagnose, and Monitor Machines to Fuel the Growth of the Predictive Maintenance Application in the Manufacturing Vertical
    9.4 Energy and Utilities
           9.4.1 the Growing Demand of Power-Usage Analytics Applications Fuel the Growth of Energy and Utilities Vertical
    9.5 Transportation and Logistics
           9.5.1 Increasing Need to Improve Asset Tracking and Performance Management for Minimizing Risks Lead to Growth in Transportation and Logistics Vertical
    9.6 Healthcare and Life Sciences
           9.6.1 Growing Demand for Monitoring Patient Health and Personalized Treatment in Real Time to Fuel the Growth of Healthcare and Life Sciences Vertical
    9.7 Others

10 Predictive Maintenance Market By Region (Page No. - 63)
     10.1 Introduction
     10.2 North America
             10.2.1 United States
                       10.2.1.1 Need to Extract Maximum Value From Smart Devices to Fuel the Demand for Predictive Maintenance Solutions in the US
             10.2.2 Canada
                       10.2.2.1 Increase in Investments and Research Activities to Drive Predictive Maintenance Adoption in Canada
     10.3 Europe
             10.3.1 United Kingdom
                       10.3.1.1 Government Focus on Innovation and Research to Fuel the Adoption of Predictive Maintenance Solutions in the UK
             10.3.2 Germany
                       10.3.2.1 Skilled Workforce, Strong Infrastructure, and Increase in Investments to Drive the Predictive Maintenance Adoption in Germany
             10.3.3 France
                       10.3.3.1 Focus on R&D and Heavy Inflow of Capital From Global Players and Investors to Drive the Market in France
             10.3.4 Italy
                       10.3.4.1 Increasing Adoption of New Technologies and Innovations to Drive the Market in Italy
             10.3.5 Rest of Europe
     10.4 Asia Pacific
             10.4.1 China
                       10.4.1.1 Increasing Focus on Integrating AI and Deep Learning Technologies to Drive the Adoption of Predictive Maintenance Solutions in China
             10.4.2 Japan
                       10.4.2.1 Increasing Government Initiatives, LED to the Potential Growth for Predictive Maintenance in Japan
             10.4.3 Rest of Asia Pacific
     10.5 Middle East and Africa
             10.5.1 Israel
                       10.5.1.1 Presence of IoT and AI Software Vendors to Lead the Adoption of Predictive Maintenance Solutions
             10.5.2 UAE
                       10.5.2.1 Complex Legal, Regulatory, and Economic Resolutions to Compel Organizations to Adopt Predictive Maintenance Solutions
             10.5.3 Rest of Middle East and Africa
     10.6 Latin America
             10.6.1 Brazil
                       10.6.1.1 Brazil Embraces the Digital Age With A Shift Toward Industry 4.0
             10.6.2 Mexico
                       10.6.2.1 Mexico to Witness the Highest Growth Rate in the Market in the Coming Years
             10.6.3 Rest of Latin America

11 Competitive Landscape (Page No. - 95)
     11.1 Overview
     11.2 Competitive Leadership Mapping
             11.2.1 Visionaries
             11.2.2 Innovators
             11.2.3 Dynamic Differentiators
             11.2.4 Emerging Companies
     11.3 Strength of Product Portfolio
     11.4 Business Strategy Excellence
     11.5 Competitive Leadership Mapping (Startups)
             11.5.1 Progressive Companies
             11.5.2 Responsive Companies
             11.5.3 Dynamic Companies
             11.5.4 Starting Blocks
     11.6 Strength of Product Portfolio (Startups)
     11.7 Business Strategy Excellence (Startups)

12 Company Profiles (Page No. - 103)
     12.1 Introduction
(Business Overview, Products/Services/Platforms Offered, Recent Developments, SWOT Analysis, and MnM View)*
     12.2 IBM
     12.3 Microsoft
     12.4 SAP
     12.5 GE
     12.6 Schneider Electric
     12.7 Hitachi
     12.8 PTC
     12.9 Software AG
     12.10 SAS
     12.11 TIBCO
* Business Overview, Products/Services/Platforms Offered, Recent Developments, SWOT Analysis, and MnM View Might Not Be Captured in Case of Unlisted Companies.
     12.12 C3 IoT
     12.13 Uptake
     12.14 Softweb Solutions
     12.15 Asystom
     12.16 Ecolibrium Energy
     12.17 Fiix
     12.18 OPEX Group
     12.19 Dingo
     12.20 Sigma Industrial Precision

13 Appendix (Page No. - 135)
     13.1 Industry Experts
     13.2 Discussion Guide
     13.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     13.4 Available Customizations
     13.5 Related Reports
     13.6 Author Details


List of Tables (45 Tables)

Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Factor Analysis
Table 3 Global Market Size and Growth Rate, 2017–2024 (USD Million, Y-O-Y %)
Table 4 Predictive Maintenance Market Size, By Component, 2017–2024 (USD Million)
Table 5 Solutions: Market Size By Type, 2017–2024 (USD Million)
Table 6 Services: Market Size By Type, 2017–2024 (USD Million)
Table 7 Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 8 Market Size By Organization Size, 2017–2024 (USD Million)
Table 9 Market Size By Vertical, 2017–2024 (USD Million)
Table 10 Predictive Maintenance Market Size, By Region, 2017–2024 (USD Million)
Table 11 North America: Market Size By Component, 2017–2024 (USD Million)
Table 12 North America: Market Size By Solution, 2017–2024 (USD Million)
Table 13 North America: Market Size By Service, 2017–2024 (USD Million)
Table 14 North America: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 15 North America: Market By Organization Size, 2017–2024 (USD Million)
Table 16 North America: Market Size By Vertical, 2017–2024 (USD Million)
Table 17 North America: Market Size By Country, 2017–2024 (USD Million)
Table 18 Europe: Predictive Maintenance Market Size, By Component, 2017–2024 (USD Million)
Table 19 Europe: Market Size By Solution, 2017–2024 (USD Million)
Table 20 Europe: Market Size By Service, 2017–2024 (USD Million)
Table 21 Europe: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 22 Europe: Market Size By Organization Size, 2017–2024 (USD Million)
Table 23 Europe: Market Size By Vertical, 2017–2024 (USD Million)
Table 24 Europe: Market Size By Country, 2017–2024 (USD Million)
Table 25 Asia Pacific: Predictive Maintenance Market Size, By Component, 2017–2024 (USD Million)
Table 26 Asia Pacific: Market Size By Solution, 2017–2024 (USD Million)
Table 27 Asia Pacific: Market Size By Service, 2017–2024 (USD Million)
Table 28 Asia Pacific: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 29 Asia Pacific: Market Size By Organization Size, 2017–2024 (USD Million)
Table 30 Asia Pacific: Market Size By Vertical, 2017–2024 (USD Million)
Table 31 Asia Pacific: Market Size By Country, 2017–2024 (USD Million)
Table 32 Middle East and Africa: Predictive Maintenance Market Size, By Component, 2017–2024 (USD Million)
Table 33 Middle East and Africa: Market Size By Solution, 2017–2024 (USD Million)
Table 34 Middle East and Africa: Market Size By Service, 2017–2024 (USD Million)
Table 35 Middle East and Africa: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 36 Middle East and Africa: Market Size By Organization Size, 2017–2024 (USD Million)
Table 37 Middle East and Africa: Market Size By Vertical, 2017–2024 (USD Million)
Table 38 Middle East and Africa: Market Size By Country, 2017–2024 (USD Million)
Table 39 Latin America: Predictive Maintenance Market Size, By Component, 2017–2024 (USD Million)
Table 40 Latin America: Market Size By Solution, 2017–2024 (USD Million)
Table 41 Latin America: Market Size By Service, 2017–2024 (USD Million)
Table 42 Latin America: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 43 Latin America: Market Size By Organization Size, 2017–2024 (USD Million)
Table 44 Latin America: Market Size By Vertical, 2017–2024 (USD Million)
Table 45 Latin America: Market Size By Country, 2017–2024 (USD Million)
 
 
 List of Figures (46 Figures)
 
Figure 1 Global Predictive Maintenance Market: Research Design
Figure 2 Market: Top-Down and Bottom-Up Approaches
Figure 3 Market Snapshot By Component
Figure 4 Market Snapshot By Solution
Figure 5 Market Snapshot By Service
Figure 6 Market Snapshot By Deployment Mode
Figure 7 Market Snapshot By Organization Size
Figure 8 Market Snapshot By Vertical
Figure 9 Market Snapshot By Region
Figure 10 Real-Time Conditioning Monitoring to Take Prompt Action is One of the Major Factors Driving the Overall Growth of the Predictive Maintenance Market During the Forecast Period
Figure 11 Energy and Utilities Vertical to Grow at the Highest CAGR During the Forecast Period
Figure 12 North America to Hold the Highest Market Share in 2019
Figure 13 Solutions Component and On-Premises Deployment Mode in North America Accounted for the Highest Shares in the Market in 2019
Figure 14 Drivers, Restraints, Opportunities, and Challenges: Predictive Maintenance Market
Figure 15 Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 16 Standalone Solution Segment to Grow at A Higher CAGR During the Forecast Period
Figure 17 Support and Maintenance Segment to Grow at the Highest CAGR During the Forecast Period
Figure 18 Cloud Segment to Witness A Higher CAGR During the Forecast Period
Figure 19 Small and Medium-Sized Enterprises Segment to Register A Higher CAGR During the Forecast Period
Figure 20 Energy and Utilities Vertical to Witness the Highest CAGR During the Forecast Period
Figure 21 North America to Hold the Largest Market Size During the Forecast Period
Figure 22 Japan to Hold the Highest CAGR During the Forecast Period
Figure 23 Asia Pacific to Hold the Highest CAGR During the Forecast Period
Figure 24 North America: Market Snapshot
Figure 25 Energy and Utilities to Grow at the Highest CAGR During the Forecast Period
Figure 26 Energy and Utilities Vertical to Grow at the Highest CAGR During the Forecast Period in Europe
Figure 27 Asia Pacific: Market Snapshot
Figure 28 Energy and Utilities Vertical to Grow at the Highest CAGR During the Forecast Period in Asia Pacific
Figure 29 Energy and Utilities Vertical to Grow at the Highest CAGR During the Forecast Period in Middle East and Africa
Figure 30 Energy and Utilities Vertical to Grow at Highest CAGR During the Forecast Period in Latin America
Figure 31 Predictive Maintenance Market (Global), Competitive Leadership Mapping, 2018
Figure 32 Key Players of the Market 2018
Figure 33 Predictive Maintenance Market (Global), Competitive Leadership Mapping, for Startups, 2018
Figure 34 IBM: Company Snapshot
Figure 35 SWOT Analysis: IBM
Figure 36 Microsoft: Company Snapshot
Figure 37 SWOT Analysis: Microsoft
Figure 38 SAP: Company Snapshot
Figure 39 SWOT Analysis: SAP
Figure 40 GE: Company Snapshot
Figure 41 SWOT Analysis: GE
Figure 42 Schneider Electric: Company Snapshot
Figure 43 SWOT Analysis: Schneider Electric
Figure 44 Hitachi: Company Snapshot
Figure 45 PTC: Company Snapshot
Figure 46 Software AG: Company Snapshot

The study consists of four major activities to estimate the current market size of the predictive maintenance market. Exhaustive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the overall market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the market.

Secondary Research

In the secondary research process, various secondary sources, such as D&B Hoovers and Bloomberg BusinessWeek, have been referred to for identifying and collecting information for this study. Secondary sources included annual reports; press releases and investor presentations of companies; whitepapers, certified publications, and articles by recognized authors; gold standard and silver standard websites; Research and Development (R&D) organizations; regulatory bodies; and databases.

Primary Research

Various primary sources from both the supply and demand sides of the predictive maintenance market were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), technology and innovation directors, hedge fund managers, and related key executives from various vendors offering predictive maintenance solutions, associated service providers, and system integrators operating in the targeted regions. 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

Predictive Maintenance Market Size Estimation

For making market estimates and forecasting the predictive maintenance market and the other dependent submarkets, the top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market were identified through extensive secondary research.
  • The market size, in terms of value, was determined through primary and secondary research processes.
  • All percentage shares, splits, and breakups were determined using secondary sources and verified through primary sources.

Data Triangulation

With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The global 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 forecast the predictive maintenance market by component (solutions [integrated and stand-alone] and services), service (system integration, support and maintenance, and consulting), deployment mode (cloud and on-premises), enterprise size(large enterprises and Small and Medium-sized Enterprises [SMEs]), vertical (government and defense, manufacturing, energy and utilities, transportation and logistics, healthcare and life sciences, and others [agriculture, telecom, media, and retail]), and region
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
  • To strategically analyze the micro-markets with respect to individual growth trends, prospects, and contributions to the overall market
  • To study the complete value chain of the market
  • To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the predictive maintenance ecosystem
  • To strategically profile key players and comprehensively analyze their market size and core competencies in the market
  • To analyze strategic approaches, such as product launches, acquisitions, contracts, agreements, and partnerships, in the market

Scope of the Report

Report Metrics

Details

Market size available for years

2017–2024

Base year considered

2018

Forecast period

2019–2024

Forecast units

Billion (USD)

Segments covered

Components (Solutions, Services), Deployment Modes, Organization Size, Verticals and Regions

Geographies covered

North America, Europe, APAC, Latin America, and MEA

Companies covered

IBM (US), Microsoft (US), SAP (Germany), GE (US), Schneider Electric  (France), Hitachi (Japan), PTC (US), Software AG (Germany), SAS (US), TIBCO (US), C3 IoT (US), Uptake (US), Softweb Solutions (US), Asystom (France), Ecolibrium Energy (India), Fiix (Canada), OPEX Group (UK), Dingo (Australia), Sigma Industrial Precision (Spain)

This research report categorizes the predictive maintenance market based on components, solutions, services, deployment modes, organization size, vertical, and region.

Based on Components, the predictive maintenance market is divided into the following segments:

  • Solutions
    • Integrated
    • Standalone
  • Services
    • System Integration
    • Support and Maintenance
    • Consulting

Based on Deployment Modes, the predictive maintenance market is divided into the following segments:

  • On-premises
  • Cloud

Based on Organization size, the predictive maintenance market is divided into the following segments:

  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

Based on Vertical, the predictive maintenance market is divided into the following segments:

  • Government and Defense
  • Manufacturing
  • Energy and Utilities
  • Transportation and Logistics
  • Healthcare and Life Sciences
  • Others

Based on Regions, the predictive maintenance market is divided into the following segments:

  • North America
  • Europe
  • APAC
  • Latin America
  • MEA

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
Report Code
TC 4154
Published ON
Jun, 2019
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