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市场调查报告书
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1843934

2025年全球预测性维护市场报告

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，预测性维护市场发展迅速，预计将从2024年的93亿美元成长到2025年的118.2亿美元，复合年增长率达27.0%。预测期内的成长主要得益于设备停机时间的减少、成本的节约以及监管合规和安全标准的提高。

预计未来几年预测性维护市场规模将呈指数级增长，到2029年将达到327.3亿美元，复合年增长率（CAGR）为29.0%。预测期内的成长可归因于与企业系统的整合、复杂系统的预测分析以及对主动预防性维护策略的重视。预测期内的关键趋势包括数位双胞胎技术、跨产业合作、感测器技术的进步、进阶分析和机器学习以及云端基础解决方案。

预测性维护是指利用资料驱动的状态监控工具和技术来分析设备状态并预测维护需求。它采用数据收集、数据转换、资产健康评估、预测、决策支援系统和人机交互层等测试技术，并透过数据分析整合来自所有来源的数据，以帮助各行各业减少维护成本并保护机械设备。物联网 (IoT) 是这个过程的核心要素，它使各个系统能够协同工作，共同转换和分析记录的资料。

预测性维护分为解决方案和服务两大类。预测性维护解决方案是指根据独特的业务需求客製设计的资产管理软体和平台，这些软体和平台是基于物联网 (IoT) 技术运作。这些解决方案可部署在本地和云端基础架构上，服务对象包括维护、维修和大修 (MRO) 服务商、原始设备製造商/原始设计製造商 (OEM/ODM) 以及技术整合商等相关人员。这些解决方案的应用领域十分广泛，涵盖重型设备、小型机械、航太与国防、汽车与交通运输、能源与公共产业、医疗保健、IT 与通讯、製造业以及石油与天然气等产业。

美国在2025年春季突然提高关税及其引发的贸易摩擦，对资讯科技产业，特别是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税上涨，推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司，面临更长的前置作业时间週期和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

本研究报告是商业研究公司（The Business Research Company）最新系列报告的一部分，该系列报告提供预测性维护市场统计数据，例如全球市场规模、区域份额、预测性维护市场份额的竞争对手、详细的预测性维护市场细分、市场趋势和机会，以及在预测性维护行业取得成功所需的数据。本预测性维护市场研究报告全面概​​述了所有必要信息，并对该行业的现状和未来发展趋势进行了深入分析。

预测未来五年成长率为29.0%，较我们先前对该市场的预测略微下降0.4%。下降的主要原因是美国与其他国家之间的关税影响。对全球采购的无线感测器、物联网边缘设备和状态监控模组征收更高的关税，可能会减缓这些产品的普及速度，并增加美国本土维护系统的营运成本。此外，相互关税以及日益加剧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也将更为广泛。

降低维护成本、减少设备故障和停机时间的需求日益增长，这是推动预测性维护市场成长的关键因素。设备停机时间是指特定机器因意外故障而无法运作的时间段。大型机械的频繁故障和计划外停机会扰乱业务运营，导致生产暂时中断、劳动力閒置和经济损失。例如，美国政府机构国家生物技术资讯中心 (NCBI) 在 2023 年 2 月报告称，製造机械的维护成本占总生产成本的 15% 至 70%。因此，预计在整个预测期内，降低维护成本、减少设备故障和停机时间的需求将持续成长，从而推动对预测性维护的需求。

由于物联网 (IoT) 的日益普及，预测性维护市场预计将进一步成长。物联网是由具有唯一识别码 (UID) 的互联运算设备、机器和电子设备组成的网路系统，无需人与人或人与电脑互动即可传输资料。预测性维护物联网设备有助于即时监控设备、收集数据进行分析、主动识别潜在问题、减少停机时间并优化维护计划，从而提高营运效率。根据 IoT Analytics 于 2022 年 5 月发布的《2022 年春季物联网现况报告》，2021 年活跃端点数量为 122 亿，物联网连接总数增加了 8%。预计到 2022 年，物联网产业的活跃连线数将达到 144 亿，成长 18%。因此，物联网的日益普及正在推动预测性维护市场的发展。

预测性维护市场包括提供设备、故障模式和状态监控等服务的营业单位所获得的收入。市场价值还包括服务供应商销售的或包含在服务产品中的相关商品的价值。仅包括在营业单位之间交易或销售给最终消费者的商品和服务。

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 4 章 市场 - 宏观经济情境 宏观经济情境包括利率、通货膨胀、地缘政治、贸易战和关税，以及 COVID-19 疫情和復苏对市场的影响。

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
  • 全球预测性维护市场：成长率分析
  • 全球预测性维护市场表现：规模与成长，2019-2024年
  • 全球预测性维护市场预测：规模与成长，2024-2029年，2034年
  • 全球预测性维护：潜在市场规模 (TAM)

第六章 市场细分

  • 全球预测性维护市场：依组件、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 解决方案
  • 服务
  • 全球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、2034年
  • 本地部署
  • 云
  • 全球预测性维护市场：依相关利益者、绩效和预测划分，2019-2024年、2024-2029年、2034年
  • MRO
  • OEM/ODM
  • 技术整合商
  • 全球预测性维护市场：依应用、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 重型机械
  • 小型机器
  • 其他用途
  • 全球预测性维护市场依最终用户、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 航太与国防
  • 汽车与运输
  • 能源与公共产业
  • 卫生保健
  • 资讯科技/通讯
  • 製造业
  • 石油和天然气
  • 其他最终用户
  • 全球预测性维护市场：按解决方案类型、效能和预测进行细分，2019-2024年、2024-2029年、2034年
  • 软体平台
  • 预测分析工具
  • 机器学习模型
  • 物联网感测器和设备
  • 全球预测性维护市场：按服务类型、效能和预测细分，2019-2024年、2024-2029年、2034年
  • 咨询服务
  • 整合与实施
  • 支援与维护
  • 培训和教育

第七章 区域和国家分析

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

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

  • 预测性维修市场：竞争格局
  • 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
    • Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Siemens AG Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • General Electric Company
  • International Business Machines Corporation
  • Cisco Systems Inc.
  • Oracle Corporation
  • Schneider Electric SE
  • OPEX Group Ltd.
  • SAP SE
  • Hewlett Packard Enterprise Company
  • SAS Institute Inc.
  • Splunk Inc.
  • Larsen & Toubro Infotech Limited
  • PTC Inc.
  • TIBCO Software Inc.
  • Fluke Corporation
  • Software AG

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年预测性维护市场：提供新机会的国家
  • 预测性维护市场展望（2029）：新兴细分市场蕴藏新的机会
  • 预测性维护市场2029：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: r26905u

Predictive maintenance refers to the utilization of data-driven condition monitoring tools and techniques for analyzing equipment conditions and foreseeing maintenance needs. It employs testing methods such as data acquisition, data transformation, asset health evaluation, prognostics, a decision support system, and a human interface layer, aiding various industries in reducing maintenance and safeguarding their machinery by integrating data from all sources through data analytics. The central element in this process is the Internet of Things (IoT), enabling systems to collaborate in translating and analyzing recorded data.

Predictive maintenance is categorized into solutions and services. Predictive maintenance solutions refer to custom-designed software or platforms for asset management, tailored to unique business requirements and operating on Internet of Things (IoT) technology. These solutions are deployed on both on-premise and cloud infrastructure, catering to stakeholders such as MRO, OEM/ODM, and technology integrators. They find applications in heavy machinery, small machinery, and various industries, including aerospace & defense, automotive & transportation, energy & utilities, healthcare, IT & telecommunication, manufacturing, oil & gas, 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 predictive maintenance market research report is one of a series of new reports from The Business Research Company that provides predictive maintenance market statistics, including the predictive maintenance industry global market size, regional shares, competitors with a predictive maintenance market share, detailed predictive maintenance market segments, market trends and opportunities, and any further data you may need to thrive in the predictive maintenance industry. This predictive maintenance market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The predictive maintenance market size has grown exponentially in recent years. It will grow from $9.3 billion in 2024 to $11.82 billion in 2025 at a compound annual growth rate (CAGR) of 27.0%. The growth in the historic period can be attributed to equipment downtime reduction, cost savings, regulatory compliance and safety standards.

The predictive maintenance market size is expected to see exponential growth in the next few years. It will grow to $32.73 billion in 2029 at a compound annual growth rate (CAGR) of 29.0%. The growth in the forecast period can be attributed to integration with enterprise systems, predictive analytics for complex systems, focus on proactive maintenance strategies. Major trends in the forecast period include digital twin technology, cross-industry collaboration, advancements in sensor technologies, advanced analytics and machine learning, cloud-based solutions.

The forecast of 29.0% growth over the next five years reflects a modest reduction of 0.4% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Increased tariffs on wireless sensors, IoT edge devices, and condition monitoring modules sourced globally could slow adoption rates and drive up operational costs for U.S.-based maintenance systems. 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 increasing need to minimize maintenance costs, equipment failures, and downtime is a major factor driving the growth of the predictive maintenance market. Equipment downtime refers to the period when specific machinery is not operational due to unexpected failures. Frequent equipment breakdowns and unplanned downtimes of large machinery disrupt business operations, leading to temporary production halts, idle labor, financial penalties, and more. For instance, in February 2023, the National Center for Biotechnology Information, a US government-funded organization, reported that maintenance costs for manufacturing machinery can account for between 15% and 70% of total production costs. Consequently, the rising demand to mitigate maintenance expenses, equipment failures, and downtimes is anticipated to enhance the demand for predictive maintenance throughout the forecast period.

The increasing adoption of the Internet of Things (IoT) is expected to propel further growth in the predictive maintenance market. IoT is a networked system of interconnected computing devices, mechanical and electronic machinery with unique identities (UIDs), capable of transferring data without requiring human-to-human or human-to-computer interaction. IoT devices in predictive maintenance facilitate real-time monitoring of equipment, data collection for analysis, proactive identification of potential issues, reduction of downtime, and optimization of maintenance schedules to enhance operational efficiency. According to the State of IoT-Spring 2022 report by IoT Analytics in May 2022, there were 12.2 billion active endpoints in 2021, marking an 8% increase in the total number of IoT connections. The IoT industry is projected to experience an 18% increase to reach 14.4 billion active connections in 2022. Hence, the growing adoption of IoT serves as a driving force for the predictive maintenance market.

Major players in the predictive maintenance market are forming strategic partnerships to enhance their service offerings, utilize complementary technologies, and improve customer outcomes. These collaborations facilitate the integration of advanced technologies and expertise, allowing companies to refine their solutions, optimize asset performance, and minimize downtime through enhanced data analytics and innovative methods. For example, in July 2023, NTPC, an India-based power generation company, joined forces with the International Institute of Information Technology-Naya Raipur, a state-funded institute in India, to establish the IIITNR-COE on Predictive Maintenance. This center of excellence aims to focus on research and development of predictive maintenance tools and systems, leveraging field data provided by NTPC and offering academic insights into cutting-edge technologies.

Major players in the predictive maintenance market are intensifying their focus on introducing innovative solutions, such as the Asset Risk Predictor, to gain a competitive advantage. The Asset Risk Predictor employs advanced analytics to assess and forecast the risk of equipment failure, aiding industrial organizations in optimizing maintenance strategies and minimizing downtime. A case in point is the move by Rockwell Automation Inc., a US-based automation company, which, in September 2023, launched its inaugural artificial intelligence (AI) predictive maintenance software, Asset Risk Predictor. This software utilizes AI sensor data, machine recipes, and operational environments to predict asset health, enabling users to detect and address potential failures before they occur. The tool's capability to recognize signs of equipment failure allows it to predict breakdowns days in advance, facilitating quicker reactions by automatically generating work orders in the computerized maintenance management system (CMMS).

In June 2022, Siemens, a Germany-based technology company with a focus on industry, infrastructure, transport, and healthcare, acquired Senseye, a UK-based predictive maintenance solution provider, for an undisclosed amount. This acquisition positioned Senseye as a subsidiary of Siemens, bolstering Siemens' presence in the digital services portfolio.

Major companies operating in the predictive maintenance market include Google LLC, Microsoft Corporation, Hitachi Ltd., Amazon Web Services Inc., Siemens AG, General Electric Company, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Schneider Electric SE, OPEX Group Ltd., SAP SE, Hewlett Packard Enterprise Company, SAS Institute Inc., Splunk Inc., Larsen & Toubro Infotech Limited, PTC Inc., TIBCO Software Inc., Fluke Corporation, Software AG, Banner Engineering Corporation, Altair Engineering Inc., C3.ai Inc., Axiomtek Co Ltd., SparkCognition Inc., Uptake Technologies Inc., RapidMiner Inc., Dingo Inc., Senseye Ltd., Aspen Technology Inc., Dassault Systemes SE, Rockwell Automation Inc., Honeywell International Inc.

North America was the largest region in the predictive maintenance market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the predictive maintenance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The predictive maintenance market includes revenues earned by entities by providing services such as monitoring equipment, failure mode, and condition. 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.

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 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.

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Where is the largest and fastest growing market for 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 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 Component: Solutions; Service
  • 2) By Deployment Mode: On-premises; Cloud
  • 3) By Stakeholder: MRO; OEM/ODM; Technology Integrators
  • 4) By Application: Heavy Machinery; Small Machinery; Other Applications
  • 5) By End User: Aerospace & Defense; Automotive & Transportation; Energy & Utilities; Healthcare; IT & Telecommunication; Manufacturing; Oil & Gas; Other End Users
  • Subsegments:
  • 1) By Solutions: Software Platforms; Predictive Analytics Tools; Machine Learning Models; IoT Sensors And Devices
  • 2) By Service: Consulting Services; Integration And Implementation; Support And Maintenance; Training And Education
  • Companies Mentioned: Google LLC; Microsoft Corporation; Hitachi Ltd.; Amazon Web Services Inc.; Siemens AG; General Electric Company; International Business Machines Corporation; Cisco Systems Inc.; Oracle Corporation; Schneider Electric SE; OPEX Group Ltd.; SAP SE; Hewlett Packard Enterprise Company; SAS Institute Inc.; Splunk Inc.; Larsen & Toubro Infotech Limited; PTC Inc.; TIBCO Software Inc.; Fluke Corporation; Software AG; Banner Engineering Corporation; Altair Engineering Inc.; C3.ai Inc.; Axiomtek Co Ltd.; SparkCognition Inc.; Uptake Technologies Inc.; RapidMiner Inc.; Dingo Inc.; Senseye Ltd.; Aspen Technology Inc.; Dassault Systemes SE; Rockwell Automation Inc.; Honeywell International Inc.
  • 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. Predictive Maintenance Market Characteristics

3. Predictive Maintenance Market Trends And Strategies

4. Predictive Maintenance Market - Macro Economic Scenario 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 Predictive Maintenance Growth Analysis And Strategic Analysis Framework

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

6. Predictive Maintenance Market Segmentation

  • 6.1. Global Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Solutions
  • Service
  • 6.2. Global Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-premises
  • Cloud
  • 6.3. Global Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • MRO
  • OEM/ODM
  • Technology Integrators
  • 6.4. Global Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Heavy Machinery
  • Small Machinery
  • Other Applications
  • 6.5. Global Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Aerospace & Defense
  • Automotive & Transportation
  • Energy & Utilities
  • Healthcare
  • IT & Telecommunication
  • Manufacturing
  • Oil & Gas
  • Other End Users
  • 6.6. Global Predictive Maintenance Market, Sub-Segmentation Of Solutions, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software Platforms
  • Predictive Analytics Tools
  • Machine Learning Models
  • IoT Sensors And Devices
  • 6.7. Global Predictive Maintenance Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Integration And Implementation
  • Support And Maintenance
  • Training And Education

7. Predictive Maintenance Market Regional And Country Analysis

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

8. Asia-Pacific Predictive Maintenance Market

  • 8.1. Asia-Pacific 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 Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Predictive Maintenance Market

  • 9.1. China Predictive Maintenance Market Overview
  • 9.2. China Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Predictive Maintenance Market

  • 10.1. India Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Predictive Maintenance Market

  • 11.1. Japan Predictive Maintenance Market Overview
  • 11.2. Japan Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Predictive Maintenance Market

  • 12.1. Australia Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Predictive Maintenance Market

  • 13.1. Indonesia Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Predictive Maintenance Market

  • 14.1. South Korea Predictive Maintenance Market Overview
  • 14.2. South Korea Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Predictive Maintenance Market

  • 15.1. Western Europe Predictive Maintenance Market Overview
  • 15.2. Western Europe Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Predictive Maintenance Market

  • 16.1. UK Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Predictive Maintenance Market

  • 17.1. Germany Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Predictive Maintenance Market

  • 18.1. France Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Predictive Maintenance Market

  • 19.1. Italy Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Predictive Maintenance Market

  • 20.1. Spain Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Predictive Maintenance Market

  • 21.1. Eastern Europe Predictive Maintenance Market Overview
  • 21.2. Eastern Europe Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Predictive Maintenance Market

  • 22.1. Russia Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Predictive Maintenance Market

  • 23.1. North America Predictive Maintenance Market Overview
  • 23.2. North America Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Predictive Maintenance Market

  • 24.1. USA Predictive Maintenance Market Overview
  • 24.2. USA Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Predictive Maintenance Market

  • 25.1. Canada Predictive Maintenance Market Overview
  • 25.2. Canada Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Predictive Maintenance Market

  • 26.1. South America Predictive Maintenance Market Overview
  • 26.2. South America Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Predictive Maintenance Market

  • 27.1. Brazil Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Predictive Maintenance Market

  • 28.1. Middle East Predictive Maintenance Market Overview
  • 28.2. Middle East Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Predictive Maintenance Market

  • 29.1. Africa Predictive Maintenance Market Overview
  • 29.2. Africa Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Predictive Maintenance Market Competitive Landscape And Company Profiles

  • 30.1. Predictive Maintenance Market Competitive Landscape
  • 30.2. 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. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Siemens AG Overview, Products and Services, Strategy and Financial Analysis

31. Predictive Maintenance Market Other Major And Innovative Companies

  • 31.1. General Electric Company
  • 31.2. International Business Machines Corporation
  • 31.3. Cisco Systems Inc.
  • 31.4. Oracle Corporation
  • 31.5. Schneider Electric SE
  • 31.6. OPEX Group Ltd.
  • 31.7. SAP SE
  • 31.8. Hewlett Packard Enterprise Company
  • 31.9. SAS Institute Inc.
  • 31.10. Splunk Inc.
  • 31.11. Larsen & Toubro Infotech Limited
  • 31.12. PTC Inc.
  • 31.13. TIBCO Software Inc.
  • 31.14. Fluke Corporation
  • 31.15. Software AG

32. Global Predictive Maintenance Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Predictive Maintenance Market

34. Recent Developments In The Predictive Maintenance Market

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

  • 35.1 Predictive Maintenance Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Predictive Maintenance Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 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