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Global Predictive Maintenance Market: By Component: Solutions, Services; By Deployment Mode: Cloud, On-Premises; By Organization Size: Small and Medium-Sized Enterprises, Large Enterprises; By Application: Government and Defence, Manufacturing, Energy and Utilities, Transportation and Logistics, Healthcare and Life Sciences; By Region: North America, Europe, Asia Pacific, Latin America, Middle East & Africa; Historical Production and Consumption (2015-2019); Production and Consumption Forecast (2020-2025); SWOT Analysis; Competitive Landscape & Supplier Analysis; Events and Development

Global Predictive Maintenance Market Key Insights:

 

  • Market Overview
  • Market Opportunities
  • Breakup by Region
  • Historical Market Size 2015-2019
  • Competitive Landscape
  • SWOT Analysis
  • Market Forecast 2020-2025
  • Events and Developments
  • Demand Indicators

 

Market Outlook

The global predictive maintenance market attained a value of USD 2.9 billion in 2019. The predictive maintenance market is further expected to grow in the forecast period of 2020-2025 at a CAGR of 29% to reach USD 13.4 billion by 2025. The predictive maintenance market is driven by the rising use of new technologies to gain valuable insights as well as the increasing need to reduce the cost of maintenance and downtime.

Global Predictive Maintenance Market Report and Forecast 2020-2025

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Properties and Applications

Predictive maintenance techniques have been designed to support in assessing the condition of in-service equipment to estimate the time for maintenance. Such an approach offers cost savings over routine or preventive maintenance based on time, as tasks are carried out only if warranted. It is therefore considered to be conditionally preserved, as indicated by the degradation status estimates for an object.

Based on the component, the predictive maintenance market can be divided into:

  • Solutions
  • Services

The deployment mode is divided into cloud and on-premises.

The organization site can be segmented into:

  • Small and Medium-Sized Enterprises 
  • Large Enterprises

The predictive maintenance industry can be broadly categorised based on its applications into:

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

The EMR report looks into the regional markets of predictive maintenance like North America, Latin America, Europe, the Middle East and Africa, and the Asia Pacific.

Market Analysis

The increased use of new and emerging technologies to gain valuable insight into decision-making has contributed to the industry growth. Various vertical end-users are increasingly in need of cost reduction and downtime, which has stimulated the market growth. The emphasis of different verticals on operational efficiency drives the industry growth. The rising industrialisation has added significantly to the market growth. Technology like Big Data and the Internet of Things have propelled the industry growth further.

The shortage of skilled technologies professionals has, however, obstructed the industry growth. Confidence issues with predictive maintenance technology have also hindered the industry growth.

Competitive Landscape

The report presents a detailed analysis of the following key players in the global predictive maintenance market, looking into their capacity, competitive landscape, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:

  • IBM (NYSE: IBM)
  • Microsoft Corporation 
  • SAP SE 
  • General Electric Company 
  • Schneider Electric SE 
  • Hitachi, Ltd. 
  • Others

The EMR report gives an in-depth insight into the industry by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.

Key Questions Answered in the Report:

  • How has the global predictive maintenance market performed in the previous years (2015-2019)?
  • What is the forecast assessment of the industry for 2020-2025?
  • What are the major drivers of the historical (2015-2019) and forecast (2020-2025) periods?
  • What are the major constraints of the historical (2015-2019) and forecast (2020-2025) periods?
  • What are the major demand indicators of the global industry?
  • Who are the key players in the global predictive maintenance market?
  • What is the degree of competition in the global industry?
  • What are the major events and developments taking place within the global industry?

1    Preface
    1.1    Objectives of the Study
        1.1.1    Research Objective
        1.1.2    Key Findings of the Report
2    Research Methodology
    2.1    Data Extraction
    2.2    Data Corroboration
    2.3    Market Structure
    2.4    Assumptions
    2.5    Market Models
3    Introduction
    3.1    Market Outlook
    3.2    Market Scope and Segmentation
    3.3    Additional Insights
4    Executive Summary
    4.1    Key Market Developments
    4.2    Market Analysis
    4.3    Key Players
    4.4    Market Revenue and Growth
5    Market Dynamics
    5.1    Market Driver Analysis
    5.2    Market Restraint Analysis
    5.3    Industry Challenges
    5.4    Industry Opportunities
6    Global Predictive Maintenance Market Analysis
    6.1    Figure: Global Predictive Maintenance Historical Market (2015-2019) & Forecast (2020-2025)
    6.2    Chart: Global Predictive Maintenance Market Breakup by Component
        6.2.1    Solutions
        6.2.2    Services
    6.3    Figure: Global Predictive Maintenance Market Breakup by Component: Historical Market (2015-2019) & Forecast (2020-2025)
        6.3.1    Solutions
        6.3.2    Services
    6.4    Chart: Global Predictive Maintenance Market Breakup by Deployment Mode
        6.4.1    Cloud 
        6.4.2    On-Premises
    6.5    Figure: Global Predictive Maintenance Market Breakup by Deployment Mode: Historical Market (2015-2019) & Forecast (2020-2025)
        6.5.1    Cloud 
        6.5.2    On-Premises
    6.6    Chart: Global Predictive Maintenance Market Breakup by Organization Size
        6.6.1    Small and Medium-Sized Enterprises 
        6.6.2    Large Enterprises
    6.7    Figure: Global Predictive Maintenance Market Breakup by Organization Size: Historical Market (2015-2019) & Forecast (2020-2025)
        6.7.1    Small and Medium-Sized Enterprises 
        6.7.2    Large Enterprises
    6.8    Chart: Global Predictive Maintenance Market Breakup by Application
        6.8.1    Government and Defence 
        6.8.2    Manufacturing 
        6.8.3    Energy and Utilities 
        6.8.4    Transportation and Logistics 
        6.8.5    Healthcare and Life Sciences 
        6.8.6    Others
    6.9    Figure: Global Predictive Maintenance Market Breakup by Application: Historical Market (2015-2019) & Forecast (2020-2025)
        6.9.1    Government and Defence 
        6.9.2    Manufacturing 
        6.9.3    Energy and Utilities 
        6.9.4    Transportation and Logistics 
        6.9.5    Healthcare and Life Sciences 
        6.9.6    Others
    6.10    Chart: Global Predictive Maintenance Market Breakup by Region
        6.10.1    North America
            6.10.1.1    United States of America
            6.10.1.2    Canada
        6.10.2    Europe
            6.10.2.1    Germany
            6.10.2.2    France
            6.10.2.3    United Kingdom
            6.10.2.4    Italy
            6.10.2.5    Others
        6.10.3    Asia Pacific
            6.10.3.1    China
            6.10.3.2    Japan
            6.10.3.3    India
            6.10.3.4    ASEAN
            6.10.3.5    Others
        6.10.4    Latin America
            6.10.4.1    Brazil
            6.10.4.2    Argentina
            6.10.4.3    Mexico
            6.10.4.4    Others
        6.10.5    Middle East and Africa
            6.10.5.1    Saudi Arabia
            6.10.5.2    United Arab Emirates
            6.10.5.3    Nigeria
            6.10.5.4    South Africa
            6.10.5.5    Others
    6.11    Figure: Global Predictive Maintenance Market Breakup by Region: Historical Market (2015-2019) & Forecast (2020-2025) 
        6.11.1    North America
            6.11.1.1    United States of America
            6.11.1.2    Canada
        6.11.2    Europe
            6.11.2.1    Germany
            6.11.2.2    France
            6.11.2.3    United Kingdom
            6.11.2.4    Italy
            6.11.2.5    Others
        6.11.3    Asia Pacific
            6.11.3.1    China
            6.11.3.2    Japan
            6.11.3.3    India
            6.11.3.4    ASEAN
            6.11.3.5    Others
        6.11.4    Latin America
            6.11.4.1    Brazil
            6.11.4.2    Argentina
            6.11.4.3    Mexico
            6.11.4.4    Others
        6.11.5    Middle East and Africa
            6.11.5.1    Saudi Arabia
            6.11.5.2    United Arab Emirates
            6.11.5.3    Nigeria
            6.11.5.4    South Africa
            6.11.5.5    Others
7    SWOT Analysis
    7.1    Overview
    7.2    Strengths
    7.3    Weaknesses
    7.4    Opportunities
    7.5    Threats
8    Porter’s Five Forces Analysis
    8.1    Overview
    8.2    Buyer’s Power
    8.3    Supplier’s Power
    8.4    New Entrants
    8.5    Degree of Rivalry
    8.6    Substitutes
9    EMR’s Key Indicators for Demand
10    Competitive Landscape & Supplier Analysis

    10.1    IBM (NYSE: IBM)
        10.1.1    Company Overview
        10.1.2    Financial Analysis
    10.2    Microsoft Corporation (NASDAQ: MSFT)
        10.2.1    Company Overview
        10.2.2    Financial Analysis
    10.3    SAP SE (ETR: SAP)
        10.3.1    Company Overview
        10.3.2    Financial Analysis
    10.4    General Electric Company (NYSE: GE)
        10.4.1    Company Overview
        10.4.2    Financial Analysis
    10.5    Schneider Electric SE (EPA: SU)
        10.5.1    Company Overview
        10.5.2    Financial Analysis
    10.6    Hitachi, Ltd. (TYO: 6501)
        10.6.1    Company Overview
        10.6.2    Financial Analysis
    10.7    Others
11    Events and Development

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