封面
市场调查报告书
商品编码
1768013

按类型、部署模型、最终用户和地区分類的营运预测性维护市场

Operational Predictive Maintenance Market, By Type, By Deployment Model, By End User, By Geography

出版日期: | 出版商: Coherent Market Insights | 英文 155 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2025 年营运预测性维护市场价值估计为 65.2 亿美元,预计到 2032 年将达到 353.2 亿美元,2025 年至 2032 年的年复合成长率(CAGR)为 27.3%。

报告范围 报告详细信息
基准年 2024 2025年的市场规模 65.2亿美元
效能数据 2020-2024 预见期 2025-2032
预测期:2025-2032年 27.30% 2032年数量预测 353.2亿美元

全球营运预测性维护市场是指专注于提供技术、解决方案和服务的市场,旨在主动监控和维护各个细分领域设施和资产的营运健康。预测性维护利用进阶分析、机器学习和人工智慧 (AI) 来分析数据,并在设备故障发生前识别潜在故障。利用预测性维护技术,组织可以优化维护计划,减少计划外停机时间,并避免代价高昂的故障,从而提高业务效率并节省成本。

市场动态

全球营运预测性维护市场受多种关键动态驱动。首先,各行各业对降低成本和提高业务效率的需求日益增长,这推动了对预测性维护解决方案的需求,这些解决方案可协助企业优化维护业务、减少停机时间并最大限度地减少设备故障。其次,人工智慧、机器学习和物联网等技术的进步使得预测分析更加准确和复杂,从而提高了预测性维护模型的有效性。第三,人们越来越意识到预测性维护策略的优势以及显着的成本节约潜力,这推动了营运预测性维护的采用。

研究的主要特点

  • 本报告对全球营运预测性维护市场进行了详细分析,并以 2024 年为基准年,展示了预测期 2025-2032 的市场规模和年复合成长率(CAGR%)。
  • 它还强调了各个领域的潜在收益成长机会,并说明了该市场的引人注目的投资提案矩阵。
  • 它还提供了有关市场驱动因素、限制因素、机会、新产品发布和核准、市场趋势、区域前景以及主要企业采用的竞争策略的主要考察。
  • 全球营运预测性维护市场的主要企业是根据公司亮点、产品系列、关键亮点、财务绩效和策略等参数进行的分析。
  • 参与研究的公司包括通用电气公司、IBM 公司、eMaint Enterprises LLC、Software AG、施耐德电机 SE、SAS Institute Inc.、罗克韦尔自动化公司、PTC 公司和罗伯特博世有限公司。
  • 报告提供的关键发展和策略见解将使企业负责人和经营团队能够就未来的产品推出、新兴车型、市场扩张和行销策略做出明智的决策。
  • 本研究报告针对该市场的各个相关人员,包括投资者、供应商、产品製造商、经销商、新进业者和金融分析师。
  • 相关人员可以透过全球营运预测性维护市场分析中使用的各种策略矩阵更轻鬆地做出决策。

目录

第一章 调查目的与前提条件

  • 研究目标
  • 先决条件
  • 简称

第二章 市场展望

  • 报告描述
    • 市场定义和范围
  • 执行摘要
  • 一致的机会图(COM)

第三章市场动态、法规与趋势分析

  • 市场动态
    • 驱动程式
      • 法规遵从性和安全性
      • 提高认识和采用率
    • 限制因素
      • 数据品质和可用性
      • 整合挑战
  • 监管情景
  • 产品发布/核准
  • PEST分析
  • 波特分析
  • 併购场景

4. 2020 年至 2032 年全球营运预测性维护市场(按类型)

  • 介绍
  • 软体
  • 服务

5. 全球营运预测性维护市场(依部署模式),2020 年至 2032 年

  • 介绍
  • 本地
  • 云端基础

6. 全球营运预测性维护市场(依最终用户划分),2020 年至 2032 年

  • 介绍
  • 公共部门
  • 製造业
  • 卫生保健
  • 能源和公共产业
  • 运输
  • 其他的

7. 2020 年至 2032 年全球营运预测性维护市场(按地区)

  • 介绍
  • 北美洲
  • 欧洲
  • 亚太地区
  • 拉丁美洲
  • 中东和非洲

第八章 竞争态势

  • General Electric Company
  • IBM Corporation
  • eMaint Enterprises LLC
  • Software AG
  • Schneider Electric SE
  • SAS Institute Inc
  • Rockwell Automation Inc.
  • PTC, Inc.
  • Robert Bosch GmbH

第九章 章节

  • 调查方法
  • 关于出版商
简介目录
Product Code: CMI3416

Operational Predictive Maintenance Market is estimated to be valued at USD 6.52 Bn in 2025 and is expected to reach USD 35.32 Bn by 2032, growing at a compound annual growth rate (CAGR) of 27.3% from 2025 to 2032.

Report Coverage Report Details
Base Year: 2024 Market Size in 2025: USD 6.52 Bn
Historical Data for: 2020 To 2024 Forecast Period: 2025 To 2032
Forecast Period 2025 to 2032 CAGR: 27.30% 2032 Value Projection: USD 35.32 Bn

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 2025-2032, considering 2024 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 Market, By Type
    • Software
    • Services
  • Global Operational Predictive Maintenance Market, By Deployment Model
    • Cloud-based
    • On-premise
  • Global Operational Predictive Maintenance Market, By End User
    • Public Sector
    • Automotive
    • Manufacturing
    • Healthcare
    • Energy & Utility
    • Transportation
    • Others
  • Global Operational Predictive Maintenance Market, 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, By Type, 2020-2032, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, 2021 - 2032
    • Segment Trends
  • Software
    • Market Share Analysis, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, 2021 - 2032
    • Segment Trends
  • Services
    • Market Share Analysis, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, 2021 - 2032
    • Segment Trends

5. Global Operational Predictive Maintenance Market, By Deployment Model, 2020-2032, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, 2021 - 2032
    • Segment Trends
  • On-premise
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (US$ Bn)
    • Segment Trends
  • Cloud-based
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (US$ Bn)
    • Segment Trends

6. Global Operational Predictive Maintenance Market, By End User, 2020-2032, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, 2021 - 2032
    • Segment Trends
  • Public Sector
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (US$ Bn)
    • Segment Trends
  • Automotive
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (US$ Bn)
    • Segment Trends
  • Manufacturing
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (US$ Bn)
    • Segment Trends
  • Healthcare
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (US$ Bn)
    • Segment Trends
  • Energy and Utility
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (US$ Bn)
    • Segment Trends
  • Transportation
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (US$ Bn)
    • Segment Trends
  • Others
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (US$ Bn)
    • Segment Trends

7. Global Operational Predictive Maintenance Market, By Region, 2020-2032, (US$ Bn)

  • Introduction
    • Market Share Analysis, By Country, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, For Country 2021-2028
    • Country Trends
  • North America
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Type, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2020-2032,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2020-2032,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By country, 2020-2032, (US$ Bn)
  • Europe
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Type, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By country, 2020-2032, (US$ Bn)
  • APAC
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Type, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By country, 2020-2032, (US$ Bn)
  • Latin America
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Type 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, , By country, 2020-2032, (US$ Bn)
  • Middle East and Africa
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Type, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2020-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By country, 2020-2032, (US$ Bn)

8. 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

9. Section

  • Research Methodology
  • About us