예측 유지보수 시장(2025-2032년) : 규모, 점유율, 업계 분석 보고서 - 컴포넌트별, 도입 형태별, 기업 규모별, 기술별, 최종 용도별, 용도별, 지역별 전망, 예측

The Global Predictive Maintenance Market size is expected to reach $94.21 billion by 2032, rising at a market growth of 29.0% CAGR during the forecast period.

The growing need for real-time asset monitoring, predictive analytics, and condition-based maintenance has fuelled the adoption of standalone predictive maintenance solutions across manufacturing, logistics, and energy industries. Many organizations, particularly small and medium-sized enterprises (SMEs), prefer standalone predictive maintenance software due to its flexibility, ease of deployment, and cost-effectiveness. These solutions are designed to operate independently without requiring extensive integration with existing enterprise systems, making them ideal for companies looking for specialized maintenance analytics and monitoring tools.

Organizations across industries, including manufacturing, energy, and transportation, face increasing pressure to optimize operational costs. Traditional reactive and preventive maintenance approaches often lead to excessive spending, inefficient resource utilization, and unexpected equipment failures. Predictive maintenance offers a cost-effective alternative by allowing companies to transition from a time-based to a condition-based maintenance strategy, reducing unnecessary service interventions and cutting down on maintenance expenses. Hence, rising demand for cost-effective maintenance solutions is driving the growth of the market.

Additionally, unplanned equipment failures can lead to severe production losses, missed deadlines, and financial repercussions. Many industries are shifting their focus toward predictive maintenance to minimize unplanned downtime and improve business continuity. By analyzing data from industrial equipment, predictive maintenance systems detect early signs of wear and tear, allowing maintenance teams to address issues before they escalate into major failures. In conclusion, growing emphasis on reducing downtime and enhancing equipment lifespan is propelling the growth of the market.

However, implementing predictive maintenance requires substantial initial investment, which can be a deterrent for many companies. Businesses must invest in IoT sensors, data storage infrastructure, advanced analytics software, and skilled personnel to effectively deploy and manage predictive maintenance solutions. These costs can be prohibitive, especially for small and medium-sized enterprises (SMEs) with limited budgets. In conclusion, high initial implementation costs and complexity hinder the market's growth.

Component Outlook

Based on component, the market is characterized into hardware and software. The increasing adoption of AI-driven analytics, machine learning algorithms, and cloud-based solutions has significantly contributed to the growth of this segment. Predictive maintenance software enables organizations to monitor equipment health in real time, analyze historical data, and predict potential failures before they occur, reducing downtime and maintenance costs.

Software Outlook

The software segment is further subdivided into integrated and standalone. Organizations across various industries increasingly adopt integrated predictive maintenance solutions that seamlessly connect with existing enterprise systems, such as Enterprise Resource Planning (ERP) and Computerized Maintenance Management Systems (CMMS).

Enterprise Size Outlook

On the basis of enterprise size, the market is divided into large enterprises and small & medium-sized enterprises (SMEs). SMEs are increasingly adopting predictive maintenance technologies, albeit at a slower pace compared to large enterprises. The growing availability of cost-effective, scalable solutions has made PDM more accessible to smaller businesses, allowing them to reap the benefits of reduced downtime and maintenance costs.

Deployment Outlook

On the basis of deployment, the market is classified into on-premise and cloud. Many industries, especially those dealing with sensitive data such as manufacturing, energy, and defense, prefer on-premise deployment due to enhanced data security, greater control over IT infrastructure, and reduced dependence on external networks. On-premise predictive maintenance solutions enable organizations to process and analyze large volumes of equipment data locally, minimizing latency and ensuring real-time monitoring.

Application Outlook

By application, the market is divided into condition monitoring, predictive analytics, remote monitoring, asset tracking, and maintenance scheduling. The rising need for efficient asset management, particularly in logistics, transportation, and healthcare, has driven the demand for asset-tracking solutions.

Technology Outlook

On the basis of technology, the market is categorized into IoT, artificial intelligence & machine learning, digital twin, advanced analytics, and others. Digital twin technology enables the creation of virtual replicas of physical assets, allowing businesses to simulate real-world scenarios and predict potential failures accurately. Digital twins enhance asset monitoring, maintenance planning, and performance optimization by integrating real-time data from IoT sensors and AI-driven analytics.

End-Use Outlook

Based on end-use, the market is segmented into military & defense, energy & utilities, manufacturing, IT & telecom, logistics & transportation, and others. Fleet operators, airlines, and railway networks increasingly leverage predictive maintenance to enhance vehicle and equipment uptime, optimize fuel efficiency, and ensure safety. AI-driven predictive maintenance solutions help monitor engine health, detect wear and tear, and plan proactive maintenance schedules.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The region is experiencing rapid digital transformation, with industries increasingly investing in Industry 4.0, AI, and IoT-based solutions for predictive maintenance. European governments and enterprises are enhancing operational efficiency and reducing manufacturing, energy & utilities, and transportation downtime.

Recent Strategies Deployed in the Market

• Oct-2024: IBM Corporation acquired Prescinto, an India-based asset performance management SaaS provider, to enhance IBM Maximo Application Suite's predictive maintenance capabilities for renewable energy assets. This acquisition strengthens IBM's role in the energy sector by enabling AI-driven monitoring and analytics to optimize wind, solar, and storage asset performance. The integration will support sustainability initiatives by offering real-time tracking, issue identification, and automated maintenance recommendations, helping organizations maximize energy efficiency and operational uptime.
• Jun-2024: IBM Corporation introduced Maximo Application Suite v9.0, enhancing AI-driven predictive maintenance capabilities. The update includes advanced analytics for predicting equipment failures, a redesigned user interface for better usability, and expanded IoT integration for real-time asset monitoring. BPD Zenith, a UK-based enterprise asset management solutions provider, supports migration to MAS 9.0 through its MaxiCloud service, ensuring seamless adoption and operational efficiency for asset-intensive industries.
• Apr-2024: Honeywell International, Inc. introduced Honeywell Forge Performance+ for Aerospace, an AI-powered cloud platform designed to enhance aerospace manufacturing and MRO operations. This solution leverages machine learning to optimize asset management, reduce maintenance downtime, and increase operational efficiency. By addressing challenges such as aging fleets and supply chain disruptions, the software enables predictive maintenance, allowing aerospace companies to prioritize critical tasks and improve productivity while lowering costs.
• Feb-2024: Schneider Electric SE collaborated with NTT DATA, a global IT infrastructure and services provider, to enhance AI-driven edge computing solutions. The collaboration integrates Edge, Private 5G, IoT, and Modular Data Centers, enabling real-time data processing for applications like predictive maintenance. Their first deployment at Marienpark Berlin utilizes Schneider's EcoStruxure architecture and NTT DATA's Private 5G to optimize industrial automation, energy efficiency, and data-driven decision-making, addressing Industry 4.0 challenges.

List of Key Companies Profiled

• IBM Corporation
• Microsoft Corporation
• Honeywell International, Inc.
• Siemens AG
• GE Vernova Group
• SAP SE
• PTC Inc.
• Schneider Electric SE
• ABB Ltd.
• Rockwell Automation, Inc.

Global Predictive Maintenance Market Report Segmentation

By Component

• Hardware
• Software
  • Integrated
  • Standalone

By Deployment

• On-premises
• Cloud

By Enterprise Size

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

By Technology

• IoT
• Artificial Intelligence & Machine Learning
• Advanced Analytics
• Digital Twin
• Other Technology

By End-use

• Manufacturing
• Energy & Utilities
• Logistics & Transportation
• IT & Telecom
• Military & Defense
• Other End-use

By Application

• Condition Monitoring
• Predictive Analytics
• Remote Monitoring
• Asset Tracking
• Maintenance Scheduling

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global Predictive Maintenance Market, by Component
  • 1.4.2 Global Predictive Maintenance Market, by Deployment
  • 1.4.3 Global Predictive Maintenance Market, by Enterprise Size
  • 1.4.4 Global Predictive Maintenance Market, by Technology
  • 1.4.5 Global Predictive Maintenance Market, by End-use
  • 1.4.6 Global Predictive Maintenance Market, by Application
  • 1.4.7 Global Predictive Maintenance Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 Market Share Analysis, 2024
• 4.2 Strategies Deployed in Predictive Maintenance Market
• 4.3 Porter Five Forces Analysis

Chapter 5. Global Predictive Maintenance Market by Component

• 5.1 Global Hardware Market by Region
• 5.2 Global Software Market by Region
• 5.3 Global Predictive Maintenance Market by Software Type
  • 5.3.1 Global Integrated Market by Region
  • 5.3.2 Global Standalone Market by Region

Chapter 6. Global Predictive Maintenance Market by Deployment

• 6.1 Global On-premises Market by Region
• 6.2 Global Cloud Market by Region

Chapter 7. Global Predictive Maintenance Market by Enterprise Size

• 7.1 Global Large Enterprises Market by Region
• 7.2 Global Small & Medium-sized Enterprises (SMEs) Market by Region

Chapter 8. Global Predictive Maintenance Market by Technology

• 8.1 Global IoT Market by Region
• 8.2 Global Artificial Intelligence & Machine Learning Market by Region
• 8.3 Global Advanced Analytics Market by Region
• 8.4 Global Digital Twin Market by Region
• 8.5 Global Other Technology Market by Region

Chapter 9. Global Predictive Maintenance Market by End-use

• 9.1 Global Manufacturing Market by Region
• 9.2 Global Energy & Utilities Market by Region
• 9.3 Global Logistics & Transportation Market by Region
• 9.4 Global IT & Telecom Market by Region
• 9.5 Global Military & Defense Market by Region
• 9.6 Global Other End-use Market by Region

Chapter 10. Global Predictive Maintenance Market by Application

• 10.1 Global Condition Monitoring Market by Region
• 10.2 Global Predictive Analytics Market by Region
• 10.3 Global Remote Monitoring Market by Region
• 10.4 Global Asset Tracking Market by Region
• 10.5 Global Maintenance Scheduling Market by Region

Chapter 11. Global Predictive Maintenance Market by Region

• 11.1 North America Predictive Maintenance Market
  • 11.1.1 North America Predictive Maintenance Market by Component
    • 11.1.1.1 North America Hardware Market by Region
    • 11.1.1.2 North America Software Market by Region
    • 11.1.1.3 North America Predictive Maintenance Market by Software Type
      • 11.1.1.3.1 North America Integrated Market by Country
      • 11.1.1.3.2 North America Standalone Market by Country
  • 11.1.2 North America Predictive Maintenance Market by Deployment
    • 11.1.2.1 North America On-premises Market by Region
    • 11.1.2.2 North America Cloud Market by Region
  • 11.1.3 North America Predictive Maintenance Market by Enterprise Size
    • 11.1.3.1 North America Large Enterprises Market by Country
    • 11.1.3.2 North America Small & Medium-sized Enterprises (SMEs) Market by Country
  • 11.1.4 North America Predictive Maintenance Market by Technology
    • 11.1.4.1 North America IoT Market by Country
    • 11.1.4.2 North America Artificial Intelligence & Machine Learning Market by Country
    • 11.1.4.3 North America Advanced Analytics Market by Country
    • 11.1.4.4 North America Digital Twin Market by Country
    • 11.1.4.5 North America Other Technology Market by Country
  • 11.1.5 North America Predictive Maintenance Market by End-use
    • 11.1.5.1 North America Manufacturing Market by Country
    • 11.1.5.2 North America Energy & Utilities Market by Country
    • 11.1.5.3 North America Logistics & Transportation Market by Country
    • 11.1.5.4 North America IT & Telecom Market by Country
    • 11.1.5.5 North America Military & Defense Market by Country
    • 11.1.5.6 North America Other End-use Market by Country
  • 11.1.6 North America Predictive Maintenance Market by Application
    • 11.1.6.1 North America Condition Monitoring Market by Country
    • 11.1.6.2 North America Predictive Analytics Market by Country
    • 11.1.6.3 North America Remote Monitoring Market by Country
    • 11.1.6.4 North America Asset Tracking Market by Country
    • 11.1.6.5 North America Maintenance Scheduling Market by Country
  • 11.1.7 North America Predictive Maintenance Market by Country
    • 11.1.7.1 US Predictive Maintenance Market
      • 11.1.7.1.1 US Predictive Maintenance Market by Component
      • 11.1.7.1.2 US Predictive Maintenance Market by Deployment
      • 11.1.7.1.3 US Predictive Maintenance Market by Enterprise Size
      • 11.1.7.1.4 US Predictive Maintenance Market by Technology
      • 11.1.7.1.5 US Predictive Maintenance Market by End-use
      • 11.1.7.1.6 US Predictive Maintenance Market by Application
    • 11.1.7.2 Canada Predictive Maintenance Market
      • 11.1.7.2.1 Canada Predictive Maintenance Market by Component
      • 11.1.7.2.2 Canada Predictive Maintenance Market by Deployment
      • 11.1.7.2.3 Canada Predictive Maintenance Market by Enterprise Size
      • 11.1.7.2.4 Canada Predictive Maintenance Market by Technology
      • 11.1.7.2.5 Canada Predictive Maintenance Market by End-use
      • 11.1.7.2.6 Canada Predictive Maintenance Market by Application
    • 11.1.7.3 Mexico Predictive Maintenance Market
      • 11.1.7.3.1 Mexico Predictive Maintenance Market by Component
      • 11.1.7.3.2 Mexico Predictive Maintenance Market by Deployment
      • 11.1.7.3.3 Mexico Predictive Maintenance Market by Enterprise Size
      • 11.1.7.3.4 Mexico Predictive Maintenance Market by Technology
      • 11.1.7.3.5 Mexico Predictive Maintenance Market by End-use
      • 11.1.7.3.6 Mexico Predictive Maintenance Market by Application
    • 11.1.7.4 Rest of North America Predictive Maintenance Market
      • 11.1.7.4.1 Rest of North America Predictive Maintenance Market by Component
      • 11.1.7.4.2 Rest of North America Predictive Maintenance Market by Deployment
      • 11.1.7.4.3 Rest of North America Predictive Maintenance Market by Enterprise Size
      • 11.1.7.4.4 Rest of North America Predictive Maintenance Market by Technology
      • 11.1.7.4.5 Rest of North America Predictive Maintenance Market by End-use
      • 11.1.7.4.6 Rest of North America Predictive Maintenance Market by Application
• 11.2 Europe Predictive Maintenance Market
  • 11.2.1 Europe Predictive Maintenance Market by Component
    • 11.2.1.1 Europe Hardware Market by Country
    • 11.2.1.2 Europe Software Market by Country
    • 11.2.1.3 Europe Predictive Maintenance Market by Software Type
      • 11.2.1.3.1 Europe Integrated Market by Country
      • 11.2.1.3.2 Europe Standalone Market by Country
  • 11.2.2 Europe Predictive Maintenance Market by Deployment
    • 11.2.2.1 Europe On-premises Market by Country
    • 11.2.2.2 Europe Cloud Market by Country
  • 11.2.3 Europe Predictive Maintenance Market by Enterprise Size
    • 11.2.3.1 Europe Large Enterprises Market by Country
    • 11.2.3.2 Europe Small & Medium-sized Enterprises (SMEs) Market by Country
  • 11.2.4 Europe Predictive Maintenance Market by Technology
    • 11.2.4.1 Europe IoT Market by Country
    • 11.2.4.2 Europe Artificial Intelligence & Machine Learning Market by Country
    • 11.2.4.3 Europe Advanced Analytics Market by Country
    • 11.2.4.4 Europe Digital Twin Market by Country
    • 11.2.4.5 Europe Other Technology Market by Country
  • 11.2.5 Europe Predictive Maintenance Market by End-use
    • 11.2.5.1 Europe Manufacturing Market by Country
    • 11.2.5.2 Europe Energy & Utilities Market by Country
    • 11.2.5.3 Europe Logistics & Transportation Market by Country
    • 11.2.5.4 Europe IT & Telecom Market by Country
    • 11.2.5.5 Europe Military & Defense Market by Country
    • 11.2.5.6 Europe Other End-use Market by Country
  • 11.2.6 Europe Predictive Maintenance Market by Application
    • 11.2.6.1 Europe Condition Monitoring Market by Country
    • 11.2.6.2 Europe Predictive Analytics Market by Country
    • 11.2.6.3 Europe Remote Monitoring Market by Country
    • 11.2.6.4 Europe Asset Tracking Market by Country
    • 11.2.6.5 Europe Maintenance Scheduling Market by Country
  • 11.2.7 Europe Predictive Maintenance Market by Country
    • 11.2.7.1 Germany Predictive Maintenance Market
      • 11.2.7.1.1 Germany Predictive Maintenance Market by Component
      • 11.2.7.1.2 Germany Predictive Maintenance Market by Deployment
      • 11.2.7.1.3 Germany Predictive Maintenance Market by Enterprise Size
      • 11.2.7.1.4 Germany Predictive Maintenance Market by Technology
      • 11.2.7.1.5 Germany Predictive Maintenance Market by End-use
      • 11.2.7.1.6 Germany Predictive Maintenance Market by Application
    • 11.2.7.2 UK Predictive Maintenance Market
      • 11.2.7.2.1 UK Predictive Maintenance Market by Component
      • 11.2.7.2.2 UK Predictive Maintenance Market by Deployment
      • 11.2.7.2.3 UK Predictive Maintenance Market by Enterprise Size
      • 11.2.7.2.4 UK Predictive Maintenance Market by Technology
      • 11.2.7.2.5 UK Predictive Maintenance Market by End-use
      • 11.2.7.2.6 UK Predictive Maintenance Market by Application
    • 11.2.7.3 France Predictive Maintenance Market
      • 11.2.7.3.1 France Predictive Maintenance Market by Component
      • 11.2.7.3.2 France Predictive Maintenance Market by Deployment
      • 11.2.7.3.3 France Predictive Maintenance Market by Enterprise Size
      • 11.2.7.3.4 France Predictive Maintenance Market by Technology
      • 11.2.7.3.5 France Predictive Maintenance Market by End-use
      • 11.2.7.3.6 France Predictive Maintenance Market by Application
    • 11.2.7.4 Russia Predictive Maintenance Market
      • 11.2.7.4.1 Russia Predictive Maintenance Market by Component
      • 11.2.7.4.2 Russia Predictive Maintenance Market by Deployment
      • 11.2.7.4.3 Russia Predictive Maintenance Market by Enterprise Size
      • 11.2.7.4.4 Russia Predictive Maintenance Market by Technology
      • 11.2.7.4.5 Russia Predictive Maintenance Market by End-use
      • 11.2.7.4.6 Russia Predictive Maintenance Market by Application
    • 11.2.7.5 Spain Predictive Maintenance Market
      • 11.2.7.5.1 Spain Predictive Maintenance Market by Component
      • 11.2.7.5.2 Spain Predictive Maintenance Market by Deployment
      • 11.2.7.5.3 Spain Predictive Maintenance Market by Enterprise Size
      • 11.2.7.5.4 Spain Predictive Maintenance Market by Technology
      • 11.2.7.5.5 Spain Predictive Maintenance Market by End-use
      • 11.2.7.5.6 Spain Predictive Maintenance Market by Application
    • 11.2.7.6 Italy Predictive Maintenance Market
      • 11.2.7.6.1 Italy Predictive Maintenance Market by Component
      • 11.2.7.6.2 Italy Predictive Maintenance Market by Deployment
      • 11.2.7.6.3 Italy Predictive Maintenance Market by Enterprise Size
      • 11.2.7.6.4 Italy Predictive Maintenance Market by Technology
      • 11.2.7.6.5 Italy Predictive Maintenance Market by End-use
      • 11.2.7.6.6 Italy Predictive Maintenance Market by Application
    • 11.2.7.7 Rest of Europe Predictive Maintenance Market
      • 11.2.7.7.1 Rest of Europe Predictive Maintenance Market by Component
      • 11.2.7.7.2 Rest of Europe Predictive Maintenance Market by Deployment
      • 11.2.7.7.3 Rest of Europe Predictive Maintenance Market by Enterprise Size
      • 11.2.7.7.4 Rest of Europe Predictive Maintenance Market by Technology
      • 11.2.7.7.5 Rest of Europe Predictive Maintenance Market by End-use
      • 11.2.7.7.6 Rest of Europe Predictive Maintenance Market by Application
• 11.3 Asia Pacific Predictive Maintenance Market
  • 11.3.1 Asia Pacific Predictive Maintenance Market by Component
    • 11.3.1.1 Asia Pacific Hardware Market by Country
    • 11.3.1.2 Asia Pacific Software Market by Country
    • 11.3.1.3 Asia Pacific Predictive Maintenance Market by Software Type
      • 11.3.1.3.1 Asia Pacific Integrated Market by Country
      • 11.3.1.3.2 Asia Pacific Standalone Market by Country
  • 11.3.2 Asia Pacific Predictive Maintenance Market by Deployment
    • 11.3.2.1 Asia Pacific On-premises Market by Country
    • 11.3.2.2 Asia Pacific Cloud Market by Country
  • 11.3.3 Asia Pacific Predictive Maintenance Market by Enterprise Size
    • 11.3.3.1 Asia Pacific Large Enterprises Market by Country
    • 11.3.3.2 Asia Pacific Small & Medium-sized Enterprises (SMEs) Market by Country
  • 11.3.4 Asia Pacific Predictive Maintenance Market by Technology
    • 11.3.4.1 Asia Pacific IoT Market by Country
    • 11.3.4.2 Asia Pacific Artificial Intelligence & Machine Learning Market by Country
    • 11.3.4.3 Asia Pacific Advanced Analytics Market by Country
    • 11.3.4.4 Asia Pacific Digital Twin Market by Country
    • 11.3.4.5 Asia Pacific Other Technology Market by Country
  • 11.3.5 Asia Pacific Predictive Maintenance Market by End-use
    • 11.3.5.1 Asia Pacific Manufacturing Market by Country
    • 11.3.5.2 Asia Pacific Energy & Utilities Market by Country
    • 11.3.5.3 Asia Pacific Logistics & Transportation Market by Country
    • 11.3.5.4 Asia Pacific IT & Telecom Market by Country
    • 11.3.5.5 Asia Pacific Military & Defense Market by Country
    • 11.3.5.6 Asia Pacific Other End-use Market by Country
  • 11.3.6 Asia Pacific Predictive Maintenance Market by Application
    • 11.3.6.1 Asia Pacific Condition Monitoring Market by Country
    • 11.3.6.2 Asia Pacific Predictive Analytics Market by Country
    • 11.3.6.3 Asia Pacific Remote Monitoring Market by Country
    • 11.3.6.4 Asia Pacific Asset Tracking Market by Country
    • 11.3.6.5 Asia Pacific Maintenance Scheduling Market by Country
  • 11.3.7 Asia Pacific Predictive Maintenance Market by Country
    • 11.3.7.1 China Predictive Maintenance Market
      • 11.3.7.1.1 China Predictive Maintenance Market by Component
      • 11.3.7.1.2 China Predictive Maintenance Market by Deployment
      • 11.3.7.1.3 China Predictive Maintenance Market by Enterprise Size
      • 11.3.7.1.4 China Predictive Maintenance Market by Technology
      • 11.3.7.1.5 China Predictive Maintenance Market by End-use
      • 11.3.7.1.6 China Predictive Maintenance Market by Application
    • 11.3.7.2 Japan Predictive Maintenance Market
      • 11.3.7.2.1 Japan Predictive Maintenance Market by Component
      • 11.3.7.2.2 Japan Predictive Maintenance Market by Deployment
      • 11.3.7.2.3 Japan Predictive Maintenance Market by Enterprise Size
      • 11.3.7.2.4 Japan Predictive Maintenance Market by Technology
      • 11.3.7.2.5 Japan Predictive Maintenance Market by End-use
      • 11.3.7.2.6 Japan Predictive Maintenance Market by Application
    • 11.3.7.3 India Predictive Maintenance Market
      • 11.3.7.3.1 India Predictive Maintenance Market by Component
      • 11.3.7.3.2 India Predictive Maintenance Market by Deployment
      • 11.3.7.3.3 India Predictive Maintenance Market by Enterprise Size
      • 11.3.7.3.4 India Predictive Maintenance Market by Technology
      • 11.3.7.3.5 India Predictive Maintenance Market by End-use
      • 11.3.7.3.6 India Predictive Maintenance Market by Application
    • 11.3.7.4 South Korea Predictive Maintenance Market
      • 11.3.7.4.1 South Korea Predictive Maintenance Market by Component
      • 11.3.7.4.2 South Korea Predictive Maintenance Market by Deployment
      • 11.3.7.4.3 South Korea Predictive Maintenance Market by Enterprise Size
      • 11.3.7.4.4 South Korea Predictive Maintenance Market by Technology
      • 11.3.7.4.5 South Korea Predictive Maintenance Market by End-use
      • 11.3.7.4.6 South Korea Predictive Maintenance Market by Application
    • 11.3.7.5 Singapore Predictive Maintenance Market
      • 11.3.7.5.1 Singapore Predictive Maintenance Market by Component
      • 11.3.7.5.2 Singapore Predictive Maintenance Market by Deployment
      • 11.3.7.5.3 Singapore Predictive Maintenance Market by Enterprise Size
      • 11.3.7.5.4 Singapore Predictive Maintenance Market by Technology
      • 11.3.7.5.5 Singapore Predictive Maintenance Market by End-use
      • 11.3.7.5.6 Singapore Predictive Maintenance Market by Application
    • 11.3.7.6 Malaysia Predictive Maintenance Market
      • 11.3.7.6.1 Malaysia Predictive Maintenance Market by Component
      • 11.3.7.6.2 Malaysia Predictive Maintenance Market by Deployment
      • 11.3.7.6.3 Malaysia Predictive Maintenance Market by Enterprise Size
      • 11.3.7.6.4 Malaysia Predictive Maintenance Market by Technology
      • 11.3.7.6.5 Malaysia Predictive Maintenance Market by End-use
      • 11.3.7.6.6 Malaysia Predictive Maintenance Market by Application
    • 11.3.7.7 Rest of Asia Pacific Predictive Maintenance Market
      • 11.3.7.7.1 Rest of Asia Pacific Predictive Maintenance Market by Component
      • 11.3.7.7.2 Rest of Asia Pacific Predictive Maintenance Market by Deployment
      • 11.3.7.7.3 Rest of Asia Pacific Predictive Maintenance Market by Enterprise Size
      • 11.3.7.7.4 Rest of Asia Pacific Predictive Maintenance Market by Technology
      • 11.3.7.7.5 Rest of Asia Pacific Predictive Maintenance Market by End-use
      • 11.3.7.7.6 Rest of Asia Pacific Predictive Maintenance Market by Application
• 11.4 LAMEA Predictive Maintenance Market
  • 11.4.1 LAMEA Predictive Maintenance Market by Component
    • 11.4.1.1 LAMEA Hardware Market by Country
    • 11.4.1.2 LAMEA Software Market by Country
    • 11.4.1.3 LAMEA Predictive Maintenance Market by Software Type
      • 11.4.1.3.1 LAMEA Integrated Market by Country
      • 11.4.1.3.2 LAMEA Standalone Market by Country
  • 11.4.2 LAMEA Predictive Maintenance Market by Deployment
    • 11.4.2.1 LAMEA On-premises Market by Country
    • 11.4.2.2 LAMEA Cloud Market by Country
  • 11.4.3 LAMEA Predictive Maintenance Market by Enterprise Size
    • 11.4.3.1 LAMEA Large Enterprises Market by Country
    • 11.4.3.2 LAMEA Small & Medium-sized Enterprises (SMEs) Market by Country
  • 11.4.4 LAMEA Predictive Maintenance Market by Technology
    • 11.4.4.1 LAMEA IoT Market by Country
    • 11.4.4.2 LAMEA Artificial Intelligence & Machine Learning Market by Country
    • 11.4.4.3 LAMEA Advanced Analytics Market by Country
    • 11.4.4.4 LAMEA Digital Twin Market by Country
    • 11.4.4.5 LAMEA Other Technology Market by Country
  • 11.4.5 LAMEA Predictive Maintenance Market by End-use
    • 11.4.5.1 LAMEA Manufacturing Market by Country
    • 11.4.5.2 LAMEA Energy & Utilities Market by Country
    • 11.4.5.3 LAMEA Logistics & Transportation Market by Country
    • 11.4.5.4 LAMEA IT & Telecom Market by Country
    • 11.4.5.5 LAMEA Military & Defense Market by Country
    • 11.4.5.6 LAMEA Other End-use Market by Country
  • 11.4.6 LAMEA Predictive Maintenance Market by Application
    • 11.4.6.1 LAMEA Condition Monitoring Market by Country
    • 11.4.6.2 LAMEA Predictive Analytics Market by Country
    • 11.4.6.3 LAMEA Remote Monitoring Market by Country
    • 11.4.6.4 LAMEA Asset Tracking Market by Country
    • 11.4.6.5 LAMEA Maintenance Scheduling Market by Country
  • 11.4.7 LAMEA Predictive Maintenance Market by Country
    • 11.4.7.1 Brazil Predictive Maintenance Market
      • 11.4.7.1.1 Brazil Predictive Maintenance Market by Component
      • 11.4.7.1.2 Brazil Predictive Maintenance Market by Deployment
      • 11.4.7.1.3 Brazil Predictive Maintenance Market by Enterprise Size
      • 11.4.7.1.4 Brazil Predictive Maintenance Market by Technology
      • 11.4.7.1.5 Brazil Predictive Maintenance Market by End-use
      • 11.4.7.1.6 Brazil Predictive Maintenance Market by Application
    • 11.4.7.2 Argentina Predictive Maintenance Market
      • 11.4.7.2.1 Argentina Predictive Maintenance Market by Component
      • 11.4.7.2.2 Argentina Predictive Maintenance Market by Deployment
      • 11.4.7.2.3 Argentina Predictive Maintenance Market by Enterprise Size
      • 11.4.7.2.4 Argentina Predictive Maintenance Market by Technology
      • 11.4.7.2.5 Argentina Predictive Maintenance Market by End-use
      • 11.4.7.2.6 Argentina Predictive Maintenance Market by Application
    • 11.4.7.3 UAE Predictive Maintenance Market
      • 11.4.7.3.1 UAE Predictive Maintenance Market by Component
      • 11.4.7.3.2 UAE Predictive Maintenance Market by Deployment
      • 11.4.7.3.3 UAE Predictive Maintenance Market by Enterprise Size
      • 11.4.7.3.4 UAE Predictive Maintenance Market by Technology
      • 11.4.7.3.5 UAE Predictive Maintenance Market by End-use
      • 11.4.7.3.6 UAE Predictive Maintenance Market by Application
    • 11.4.7.4 Saudi Arabia Predictive Maintenance Market
      • 11.4.7.4.1 Saudi Arabia Predictive Maintenance Market by Component
      • 11.4.7.4.2 Saudi Arabia Predictive Maintenance Market by Deployment
      • 11.4.7.4.3 Saudi Arabia Predictive Maintenance Market by Enterprise Size
      • 11.4.7.4.4 Saudi Arabia Predictive Maintenance Market by Technology
      • 11.4.7.4.5 Saudi Arabia Predictive Maintenance Market by End-use
      • 11.4.7.4.6 Saudi Arabia Predictive Maintenance Market by Application
    • 11.4.7.5 South Africa Predictive Maintenance Market
      • 11.4.7.5.1 South Africa Predictive Maintenance Market by Component
      • 11.4.7.5.2 South Africa Predictive Maintenance Market by Deployment
      • 11.4.7.5.3 South Africa Predictive Maintenance Market by Enterprise Size
      • 11.4.7.5.4 South Africa Predictive Maintenance Market by Technology
      • 11.4.7.5.5 South Africa Predictive Maintenance Market by End-use
      • 11.4.7.5.6 South Africa Predictive Maintenance Market by Application
    • 11.4.7.6 Nigeria Predictive Maintenance Market
      • 11.4.7.6.1 Nigeria Predictive Maintenance Market by Component
      • 11.4.7.6.2 Nigeria Predictive Maintenance Market by Deployment
      • 11.4.7.6.3 Nigeria Predictive Maintenance Market by Enterprise Size
      • 11.4.7.6.4 Nigeria Predictive Maintenance Market by Technology
      • 11.4.7.6.5 Nigeria Predictive Maintenance Market by End-use
      • 11.4.7.6.6 Nigeria Predictive Maintenance Market by Application
    • 11.4.7.7 Rest of LAMEA Predictive Maintenance Market
      • 11.4.7.7.1 Rest of LAMEA Predictive Maintenance Market by Component
      • 11.4.7.7.2 Rest of LAMEA Predictive Maintenance Market by Deployment
      • 11.4.7.7.3 Rest of LAMEA Predictive Maintenance Market by Enterprise Size
      • 11.4.7.7.4 Rest of LAMEA Predictive Maintenance Market by Technology
      • 11.4.7.7.5 Rest of LAMEA Predictive Maintenance Market by End-use
      • 11.4.7.7.6 Rest of LAMEA Predictive Maintenance Market by Application

Chapter 12. Company Profiles

• 12.1 IBM Corporation
  • 12.1.1 Company Overview
  • 12.1.2 Financial Analysis
  • 12.1.3 Regional & Segmental Analysis
  • 12.1.4 Research & Development Expenses
  • 12.1.5 Recent strategies and developments:
    • 12.1.5.1 Product Launches and Product Expansions:
    • 12.1.5.2 Acquisition and Mergers:
  • 12.1.6 SWOT Analysis
• 12.2 Microsoft Corporation
  • 12.2.1 Company Overview
  • 12.2.2 Financial Analysis
  • 12.2.3 Segmental and Regional Analysis
  • 12.2.4 Research & Development Expenses
  • 12.2.5 Recent strategies and developments:
    • 12.2.5.1 Partnerships, Collaborations, and Agreements:
  • 12.2.6 SWOT Analysis
• 12.3 Honeywell International, Inc.
  • 12.3.1 Company Overview
  • 12.3.2 Financial Analysis
  • 12.3.3 Segmental and Regional Analysis
  • 12.3.4 Research & Development Expenses
  • 12.3.5 Recent strategies and developments:
    • 12.3.5.1 Partnerships, Collaborations, and Agreements:
    • 12.3.5.2 Product Launches and Product Expansions:
  • 12.3.6 SWOT Analysis
• 12.4 Siemens AG
  • 12.4.1 Company Overview
  • 12.4.2 Financial Analysis
  • 12.4.3 Segmental and Regional Analysis
  • 12.4.4 Research & Development Expense
  • 12.4.5 Recent strategies and developments:
    • 12.4.5.1 Acquisition and Mergers:
  • 12.4.6 SWOT Analysis
• 12.5 GE Vernova Group
  • 12.5.1 Company Overview
  • 12.5.2 Financial Analysis
  • 12.5.3 Segmental and Regional Analysis
  • 12.5.4 Research & Development Expenses
  • 12.5.5 SWOT Analysis
• 12.6 SAP SE
  • 12.6.1 Company Overview
  • 12.6.2 Financial Analysis
  • 12.6.3 Regional Analysis
  • 12.6.4 Research & Development Expense
  • 12.6.5 SWOT Analysis
• 12.7 PTC, Inc.
  • 12.7.1 Company Overview
  • 12.7.2 Financial Analysis
  • 12.7.3 Regional Analysis
  • 12.7.4 Research & Development Expenses
  • 12.7.5 SWOT Analysis
• 12.8 Schneider Electric SE
  • 12.8.1 Company Overview
  • 12.8.2 Financial Analysis
  • 12.8.3 Segmental and Regional Analysis
  • 12.8.4 Research & Development Expense
  • 12.8.5 Recent strategies and developments:
    • 12.8.5.1 Partnerships, Collaborations, and Agreements:
  • 12.8.6 SWOT Analysis
• 12.9 ABB Ltd.
  • 12.9.1 Company Overview
  • 12.9.2 Financial Analysis
  • 12.9.3 Segmental and Regional Analysis
  • 12.9.4 Research & Development Expense
  • 12.9.5 SWOT Analysis
• 12.10. Rockwell Automation, Inc.
  • 12.10.1 Company Overview
  • 12.10.2 Financial Analysis
  • 12.10.3 Segmental and Regional Analysis
  • 12.10.4 Research & Development Expenses
  • 12.10.5 SWOT Analysis

Chapter 13. Winning Imperatives of Predictive Maintenance Market