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The global operational predictive maintenance market refers to the market that focuses on providing technologies, solutions, and services aimed at proactively monitoring and maintaining the operational health of equipment and assets in various sectors. Operational predictive maintenance utilizes advanced analytics, machine learning, and Artificial Intelligence (AI) to analyze data and identify potential equipment failures before they occur. By leveraging predictive maintenance techniques, organizations can optimize maintenance schedules, reduce unplanned downtime, and avoid costly breakdowns, leading to increased operational efficiency and cost savings.

Market Dynamics:

The global operational predictive maintenance market is driven by several key dynamics. Firstly, the growing need for cost reduction and operational efficiency across industries is fueling the demand for predictive maintenance solutions that help organizations optimize their maintenance practices, reduce downtime, and minimize equipment failures. Secondly, advancements in technology, such as AI, machine learning, and IoT, are enabling more accurate and sophisticated predictive analytics, improving the effectiveness of predictive maintenance models. Thirdly, increasing awareness of the benefits of proactive maintenance strategies and the potential for significant cost savings is driving the adoption of operational predictive maintenance.

Key features of the study:

  • This report provides an in-depth analysis of the global operational predictive maintenance market, and provides market size (US$ Billion) and Compound Annual Growth Rate (CAGR%) for the forecast period (2023-2030), considering 2022 as the base year
  • It elucidates potential revenue growth opportunities across different segments and explains attractive investment proposition matrices for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, market trends,  regional outlook, and competitive strategies adopted by key players
  • It profiles key players in the global operational predictive maintenance market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
  • The companies covered as a part of this study include General Electric Company, IBM Corporation, eMaint Enterprises LLC, Software AG, Schneider Electric SE, SAS Institute Inc., Rockwell Automation Inc., PTC, Inc., and Robert Bosch GmbH.
  • Key development and strategy insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
  • The global operational predictive maintenance market report caters to various stakeholders in this market  including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global operational predictive maintenance market

Detailed Segmentation:

  • Global Operational Predictive Maintenance, By Type
    • Software
    • Services
  • Global Operational Predictive Maintenance, By Deployment Model
    • Cloud-based
    • On-premise
  • Global Operational Predictive Maintenance, By End User
    • Public Sector
    • Automotive
    • Manufacturing
    • Healthcare
    • Energy & Utility
    • Transportation
    • Others
  • Global Operational Predictive Maintenance, By Region
    • North America
      • U.S.
      • Canada
    • Latin America
      • Brazil
      • Mexico
      • Argentina
      • Rest of Latin America
    • Europe
      • Germany
      • U.K.
      • France
      • Italy
      • Spain
      • Russia
      • Rest of Europe
    • Asia Pacific
      • China
      • India
      • Japan
      • Australia
      • South Korea
      • ASEAN
      • Rest of Asia Pacific
    • Middle East
      • GCC
      • Israel
      • Rest of Middle East
    • Africa
      • South Africa
      • Central Africa
      • North Africa
  • Company Profiles:
    • General Electric Company
    • IBM Corporation
    • eMaint Enterprises LLC
    • Software AG
    • Schneider Electric SE
    • SAS Institute Inc.
    • Rockwell Automation Inc.
    • PTC, Inc.
    • Robert Bosch GmbH

Table of Contents

  1. Research Objectives and Assumptions
    • Research Objectives
    • Assumptions
    • Abbreviations
  2. Market Purview
    • Report Description
      • Market Definition and Scope
    • Executive Summary
      • Market Snapshot, By Type
      • Market Snapshot, By Deployment Model
      • Market Snapshot, By End User
    • Coherent Opportunity Map (COM)
  3. Market Dynamics, Regulations, and Trends Analysis
    • Market Dynamics
      • Drivers
        • Regulatory Compliance and Safety
        • Growing Awareness and Adoption
      • Restraints
        • Data Quality and Availability
        • Integration Challenges
    • Key Highlights
    • Regulatory Scenario
    • Product Launches/Approvals
    • PEST Analysis
    • PORTER’s Analysis
    • Merger and Acquisition Scenario
  4. Global Operational Predictive Maintenance Market - Impact of Coronavirus (COVID-19) Pandemic
    • COVID-19 Epidemiology
    • Supply Side and Demand Side Analysis
    • Economic Impact
  5. Global Operational Predictive Maintenance Market, By Type, 2018-2030, (US$ Bn)
    • Introduction
      • Market Share Analysis, 2023 and 2030 (%)
      • Y-o-Y Growth Analysis, 2018 - 2030
      • Segment Trends
    • Software
      • Market Share Analysis, 2023 and 2030 (%)
      • Y-o-Y Growth Analysis, 2018 - 2030
      • Segment Trends
    • Services
      • Market Share Analysis, 2023 and 2030 (%)
      • Y-o-Y Growth Analysis, 2018 - 2030
      • Segment Trends
  6. Global Operational Predictive Maintenance Market, By Deployment Model, 2018-2030, (US$ Bn)
    • Introduction
      • Market Share Analysis, 2023 and 2030 (%)
      • Y-o-Y Growth Analysis, 2018 - 2030
      • Segment Trends
    • On-premise
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, 2018-2030, (US$ Bn)
      • Segment Trends
    • Cloud-based
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, 2018-2030, (US$ Bn)
      • Segment Trends
  7. Global Operational Predictive Maintenance Market, By End User, 2018-2030, (US$ Bn)
    • Introduction
      • Market Share Analysis, 2023 and 2030 (%)
      • Y-o-Y Growth Analysis, 2018 - 2030
      • Segment Trends
    • Public Sector
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, 2018-2030, (US$ Bn)
      • Segment Trends
    • Automotive
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, 2018-2030, (US$ Bn)
      • Segment Trends
    • Manufacturing
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, 2018-2030, (US$ Bn)
      • Segment Trends
    • Healthcare
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, 2018-2030, (US$ Bn)
      • Segment Trends
    • Energy and Utility
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, 2018-2030, (US$ Bn)
      • Segment Trends
    • Transportation
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, 2018-2030, (US$ Bn)
      • Segment Trends
    • Others
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, 2018-2030, (US$ Bn)
      • Segment Trends
  8. Global Operational Predictive Maintenance Market, By Region, 2018-2030, (US$ Bn)
    • Introduction
      • Market Share Analysis, By Country, 2023 and 2030 (%)
      • Y-o-Y Growth Analysis, For Country 2018-2028
      • Country Trends
    • North America
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, By Type, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2018-2030,(US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030,(US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By country, 2018-2030, (US$ Bn)
    • Europe
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, By Type, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By country, 2018-2030, (US$ Bn)
    • APAC
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, By Type, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By country, 2018-2030, (US$ Bn)
    • Latin America
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, By Type 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By  Deployment Model, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, , By country, 2018-2030, (US$ Bn)
    •  Middle East and Africa
      • Introduction
      • Market Size and Forecast, and Y-o-Y Growth, By Type, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By  Deployment Model, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030, (US$ Bn)
      • Market Size and Forecast, and Y-o-Y Growth, By country, 2018-2030, (US$ Bn)
  9. Competitive Landscape
    • General Electric Company
      • Company Highlights
      • Product Portfolio
      • Key Developments
      • Financial Performance
      • Strategies
    • IBM Corporation
      • Company Highlights
      • Product Portfolio
      • Key Highlights
      • Financial Performance
      • Strategies
    • eMaint Enterprises LLC
      • Company Highlights
      • Product Portfolio
      • Key Highlights
      • Financial Performance
      • Strategies
    • Software AG
      • Company Highlights
      • Product Portfolio
      • Key Highlights
      • Financial Performance
      • Strategies
    • Schneider Electric SE
      • Company Highlights
      • Product Portfolio
      • Key Highlights
      • Financial Performance
      • Strategies
    • SAS Institute Inc
      • Company Highlights
      • Product Portfolio
      • Key Highlights
      • Financial Performance
      • Strategies
    • Rockwell Automation Inc.
      • Company Highlights
      • Product Portfolio
      • Key Highlights
      • Financial Performance
      • Strategies
    • PTC, Inc.
      • Company Highlights
      • Product Portfolio
      • Key Highlights
      • Financial Performance
      • Strategies
    • Robert Bosch GmbH
      • Company Highlights
      • Product Portfolio
      • Key Highlights
      • Financial Performance
      • Strategies
    • Analyst Views
  10. Section
    • Research Methodology
    • About us

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