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市场调查报告书
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1848981

2025年全球营运预测性维护市场报告

Operational Predictive Maintenance Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，营运预测性维护市场呈指数级成长，从2024年的73.1亿美元成长到2025年的91.9亿美元，复合年增长率达25.7%。这一增长可归因于以下因素：停机时间和维护成本的减少带来的成本节约、资产可靠性和性能的提高、安全性和风险缓解的增强、监管合规要求的满足，以及人们对预测性维护益处的认识不断提高。

预计未来几年，营运预测性维护市场规模将呈指数级增长，到2029年将达到233亿美元，复合年增长率（CAGR）为26.2%。预测期内的成长可归因于市场向新产业和应用领域的拓展、对主动维护解决方案的需求、新兴经济体的市场渗透、预测性维护技术的普及以及对永续性和能源效率倡议的日益重视。预测期内的关键趋势包括物联网感测器和数据分析的整合、机器学习演算法的应用、跨行业的应用扩展、云端基础平台的开发以及与企业资产管理系统的整合。

未来五年26.2%的成长率预测较我们先前的预测略微下调了0.2%。这一下调主要归因于美国与其他国家之间的关税影响。对进口感测器和边缘运算模组征收的关税可能会增加收集和分析机器性能数据的成本，从而扰乱预测性维护解决方案。此外，相互关税以及不断升级的贸易紧张局势和限制措施对全球经济和贸易的负面影响可能会更加广泛。

由于物联网 (IoT) 设备的普及，营运预测性维护市场预计将持续成长。物联网设备，包括感测器、致动器和家用电器，能够无线连接到网路并传输资料。这一增长的驱动因素包括互联网连接的改善、工业自动化的扩展、供应链管理的加强以及数据分析技术的进步。物联网设备对于营运预测性维护至关重要，因为它们能够实现即时监控、数据分析、早期故障检测和基于状态的维护。这些功能使企业能够优化资产性能、降低成本并提高营运效率。例如，英国的产业组织 GSM 协会预测，全球物联网连线数将从 2021 年的 151 亿增加到 2025 年的 233 亿。因此，物联网设备的成长是营运预测性维护市场的主要驱动力。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球营运预测性维护：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球营运预测性维护市场：成长率分析
  • 全球营运预测性维护市场表现：规模与成长，2019-2024 年
  • 全球营运预测性维护市场预测：规模与成长，2024-2029年，2034年预测
  • 全球营运预测性维护：潜在市场规模 (TAM)

第六章 市场细分

  • 全球营运预测性维护市场：按类型、性能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 软体
  • 服务
  • 全球营运预测性维护市场依部署模式、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 云
  • 本地部署
  • 全球营运预测性维护市场：依技术、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 机器学习
  • 深度学习
  • 巨量资料与分析
  • 全球营运预测性维护市场：依最终用户划分，实际值及预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 公共部门
  • 车
  • 製造业
  • 卫生保健
  • 能源与公用事业
  • 运输
  • 其他最终用户
  • 全球营运预测性维护市场：细分软体（按类型）、实际结果和预测，2019-2024 年、2024-2029 年预测、2034 年预测
  • 预测分析软体
  • 机器学习软体
  • 资料整合工具
  • 资产管理软体
  • 即时监控软体
  • 全球营运预测性维护市场：按服务类型、效能和预测细分，2019-2024 年、2024-2029 年预测、2034 年预测
  • 实施服务
  • 咨询服务
  • 培训和支援服务
  • 维护和升级
  • 託管服务

第七章 区域和国家分析

  • 全球营运预测性维护市场：按地区、绩效和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 全球营运预测性维护市场：按国家、绩效和预测划分，2019-2024 年、2024-2029 年预测、2034 年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 营运预测性维护市场：竞争格局
  • 营运预测性维护市场：公司概况
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Robert Bosch GmbH Overview, Products and Services, Strategy and Financial Analysis
    • Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • The International Business Machines Corporation
  • General Electric Company
  • Schneider Electric SE
  • SAP SE
  • Svenska Kullagerfabriken AB
  • Rockwell Automation Inc.
  • SAS Institute Inc.
  • Micro Focus
  • Splunk Inc.
  • PTC Inc.
  • Software AG
  • TIBCO Software Inc.
  • C3.ai Inc
  • Softweb Solutions Inc
  • Fiix Software

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年营运预测性维护市场：提供新机会的国家
  • 2029年营运预测性维护市场：提供新机会的细分市场
  • 2029年营运预测性维护市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r28649u

Operational Predictive Maintenance (OPM) is a proactive maintenance strategy that leverages data analytics, machine learning, and predictive modeling techniques to forecast equipment failures or maintenance requirements before they occur. The objective of OPM is to minimize downtime, reduce maintenance costs, and optimize the efficiency and reliability of equipment and processes.

The primary types of Operational Predictive Maintenance include software and services. Software encompasses a collection of programs, instructions, and data that enable computers and other electronic devices to perform specific tasks, functions, or operations. It can be deployed in the cloud or on-premise and utilizes various technologies such as machine learning, deep learning, big data, and analytics. It is utilized by various end-users, including the public sector, automotive, manufacturing, healthcare, energy and utilities, transportation, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The operational predictive maintenance market research report is one of a series of new reports from The Business Research Company that provides operational predictive maintenance market statistics, including operational predictive maintenance industry global market size, regional shares, competitors with an operational predictive maintenance market share, detailed operational predictive maintenance market segments, market trends and opportunities, and any further data you may need to thrive in the operational predictive maintenance industry. This operational predictive maintenance market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The operational predictive maintenance market size has grown exponentially in recent years. It will grow from $7.31 billion in 2024 to $9.19 billion in 2025 at a compound annual growth rate (CAGR) of 25.7%. The growth in the historic period can be attributed to cost savings from reduced downtime and maintenance costs, improved asset reliability and performance, enhanced safety and risk mitigation, regulatory compliance requirements, growing awareness of predictive maintenance benefits.

The operational predictive maintenance market size is expected to see exponential growth in the next few years. It will grow to $23.3 billion in 2029 at a compound annual growth rate (CAGR) of 26.2%. The growth in the forecast period can be attributed to expansion into new industries and applications, demand for proactive maintenance solutions, market penetration in emerging economies, predictive maintenance adoption, increased focus on sustainability and energy efficiency initiatives. Major trends in the forecast period include integration of IoT sensors and data analytics, adoption of machine learning algorithms, expansion of applications across industries, development of cloud-based platforms, integration with enterprise asset management systems.

The forecast of 26.2% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariffs on imported sensors and edge computing modules could disrupt predictive maintenance solutions by increasing costs of collecting and analyzing machine performance data. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The operational predictive maintenance market is anticipated to grow due to the rising number of IoT (Internet of Things) devices. IoT devices, which include sensors, actuators, and appliances, connect wirelessly to networks and transmit data. This growth is driven by factors such as improved internet connectivity, greater industrial automation, enhanced supply chain management, and advancements in data analytics. IoT devices are crucial for operational predictive maintenance as they enable real-time monitoring, data analysis, early problem detection, and condition-based maintenance. These capabilities help organizations optimize asset performance, reduce costs, and improve operational efficiency. For example, the GSM Association, a UK-based industry group, forecasts that global IoT connections will grow to 23.3 billion by 2025, up from 15.1 billion in 2021. Thus, the increasing number of IoT devices is a key driver of the operational predictive maintenance market.

Key players in the operational predictive maintenance market are prioritizing technological innovations, such as AI-driven analytics and real-time monitoring, to improve equipment reliability and efficiency. These advancements enable businesses to proactively manage maintenance needs and reduce operational disruptions. Machine learning is employed to analyze sensor data, identifying patterns that signal potential issues, which helps in performing proactive maintenance to optimize performance and prevent failures. For example, in June 2024, Hitachi Industrial Equipment Systems Co., Ltd., a Japan-based company specializing in industrial equipment, introduced the "Predictive Diagnosis Service" for air compressors. This service uses machine learning and remote monitoring to detect and prevent potential issues, combining real-time data with maintenance expertise to improve operational efficiency, minimize downtime, and lessen environmental impact.

In March 2023, Schaeffler Group, a German automotive industry company, acquired ECO-Adapt SAS to bolster its presence in the growing predictive maintenance market. This strategic move aims to expand Schaeffler's service offerings, strengthen its market position, and contribute to its customers' sustainable future. ECO-Adapt SAS, based in France, specializes in energy monitoring and predictive maintenance services.

Major companies operating in the operational predictive maintenance market are Google LLC, Microsoft Corporation, Robert Bosch GmbH, Hitachi Ltd., Amazon Web Services Inc., The International Business Machines Corporation, General Electric Company, Schneider Electric SE, SAP SE, Svenska Kullagerfabriken AB, Rockwell Automation Inc., SAS Institute Inc., Micro Focus, Splunk Inc., PTC Inc., Software AG, TIBCO Software Inc., C3.ai Inc., Softweb Solutions Inc., Fiix Software, Uptake Technologies Inc., eMaint Enterprises LLC, Seebo Interactive Ltd., Asystom, Ecolibrium Energy

North America was the largest region in the operational predictive maintenance market in 2024. The regions covered in the operational predictive maintenance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the operational predictive maintenance market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The operational predictive maintenance market includes revenues earned by entities by providing services such as data analytics and modeling, predictive maintenance modeling, condition monitoring, failure prediction and diagnostics, performance monitoring and optimization, and training and support. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Operational Predictive Maintenance Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on operational predictive maintenance market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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  • Create regional and country strategies on the basis of local data and analysis.
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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
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  • Benchmark performance against key competitors.
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  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for operational predictive maintenance ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The operational predictive maintenance market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Type: Software; Services
  • 2) By Deployment Model: Cloud; On-Premise
  • 3) By Technology: Machine Learning; Deep Learning; Big Data And Analytics
  • 4) By End User: Public Sector; Automotive; Manufacturing; Healthcare; Energy And Utility; Transportation; Other End Users
  • Subsegments:
  • 1) By Software: Predictive Analytics Software; Machine Learning Software; Data Integration Tools; Asset Management Software; Real-Time Monitoring Software
  • 2) By Services: Implementation Services; Consulting Services; Training and Support Services; Maintenance and Upgrades; Managed Services
  • Companies Mentioned: Google LLC; Microsoft Corporation; Robert Bosch GmbH; Hitachi Ltd.; Amazon Web Services Inc.; The International Business Machines Corporation; General Electric Company; Schneider Electric SE; SAP SE; Svenska Kullagerfabriken AB; Rockwell Automation Inc.; SAS Institute Inc.; Micro Focus; Splunk Inc.; PTC Inc.; Software AG; TIBCO Software Inc.; C3.ai Inc; Softweb Solutions Inc; Fiix Software; Uptake Technologies Inc.; eMaint Enterprises LLC; Seebo Interactive Ltd.; Asystom; Ecolibrium Energy
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Operational Predictive Maintenance Market Characteristics

3. Operational Predictive Maintenance Market Trends And Strategies

4. Operational Predictive Maintenance Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Operational Predictive Maintenance Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Operational Predictive Maintenance PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Operational Predictive Maintenance Market Growth Rate Analysis
  • 5.4. Global Operational Predictive Maintenance Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Operational Predictive Maintenance Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Operational Predictive Maintenance Total Addressable Market (TAM)

6. Operational Predictive Maintenance Market Segmentation

  • 6.1. Global Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • 6.2. Global Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud
  • On-Premise
  • 6.3. Global Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Deep Learning
  • Big Data And Analytics
  • 6.4. Global Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Public Sector
  • Automotive
  • Manufacturing
  • Healthcare
  • Energy And Utility
  • Transportation
  • Other End Users
  • 6.5. Global Operational Predictive Maintenance Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Predictive Analytics Software
  • Machine Learning Software
  • Data Integration Tools
  • Asset Management Software
  • Real-Time Monitoring Software
  • 6.6. Global Operational Predictive Maintenance Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Implementation Services
  • Consulting Services
  • Training and Support Services
  • Maintenance and Upgrades
  • Managed Services

7. Operational Predictive Maintenance Market Regional And Country Analysis

  • 7.1. Global Operational Predictive Maintenance Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Operational Predictive Maintenance Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Operational Predictive Maintenance Market

  • 8.1. Asia-Pacific Operational Predictive Maintenance Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Operational Predictive Maintenance Market

  • 9.1. China Operational Predictive Maintenance Market Overview
  • 9.2. China Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Operational Predictive Maintenance Market

  • 10.1. India Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Operational Predictive Maintenance Market

  • 11.1. Japan Operational Predictive Maintenance Market Overview
  • 11.2. Japan Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Operational Predictive Maintenance Market

  • 12.1. Australia Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Operational Predictive Maintenance Market

  • 13.1. Indonesia Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Operational Predictive Maintenance Market

  • 14.1. South Korea Operational Predictive Maintenance Market Overview
  • 14.2. South Korea Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Operational Predictive Maintenance Market

  • 15.1. Western Europe Operational Predictive Maintenance Market Overview
  • 15.2. Western Europe Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Operational Predictive Maintenance Market

  • 16.1. UK Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Operational Predictive Maintenance Market

  • 17.1. Germany Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Operational Predictive Maintenance Market

  • 18.1. France Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Operational Predictive Maintenance Market

  • 19.1. Italy Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Operational Predictive Maintenance Market

  • 20.1. Spain Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Operational Predictive Maintenance Market

  • 21.1. Eastern Europe Operational Predictive Maintenance Market Overview
  • 21.2. Eastern Europe Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Operational Predictive Maintenance Market

  • 22.1. Russia Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Operational Predictive Maintenance Market

  • 23.1. North America Operational Predictive Maintenance Market Overview
  • 23.2. North America Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Operational Predictive Maintenance Market

  • 24.1. USA Operational Predictive Maintenance Market Overview
  • 24.2. USA Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Operational Predictive Maintenance Market

  • 25.1. Canada Operational Predictive Maintenance Market Overview
  • 25.2. Canada Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Operational Predictive Maintenance Market

  • 26.1. South America Operational Predictive Maintenance Market Overview
  • 26.2. South America Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Operational Predictive Maintenance Market

  • 27.1. Brazil Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Operational Predictive Maintenance Market

  • 28.1. Middle East Operational Predictive Maintenance Market Overview
  • 28.2. Middle East Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Operational Predictive Maintenance Market

  • 29.1. Africa Operational Predictive Maintenance Market Overview
  • 29.2. Africa Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Operational Predictive Maintenance Market Competitive Landscape And Company Profiles

  • 30.1. Operational Predictive Maintenance Market Competitive Landscape
  • 30.2. Operational Predictive Maintenance Market Company Profiles
    • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Robert Bosch GmbH Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Operational Predictive Maintenance Market Other Major And Innovative Companies

  • 31.1. The International Business Machines Corporation
  • 31.2. General Electric Company
  • 31.3. Schneider Electric SE
  • 31.4. SAP SE
  • 31.5. Svenska Kullagerfabriken AB
  • 31.6. Rockwell Automation Inc.
  • 31.7. SAS Institute Inc.
  • 31.8. Micro Focus
  • 31.9. Splunk Inc.
  • 31.10. PTC Inc.
  • 31.11. Software AG
  • 31.12. TIBCO Software Inc.
  • 31.13. C3.ai Inc
  • 31.14. Softweb Solutions Inc
  • 31.15. Fiix Software

32. Global Operational Predictive Maintenance Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Operational Predictive Maintenance Market

34. Recent Developments In The Operational Predictive Maintenance Market

35. Operational Predictive Maintenance Market High Potential Countries, Segments and Strategies

  • 35.1 Operational Predictive Maintenance Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Operational Predictive Maintenance Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Operational Predictive Maintenance Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer