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市场调查报告书
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1678270

2025年预测性维护全球市场报告

Predictive Maintenance Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10个工作天内

价格
简介目录

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，这一数字将成长至 333.6 亿美元，年复合成长率（CAGR）为 29.5%。预测期内的成长将受到与企业系统的整合、复杂系统的预测分析以及对主动和预防性维护策略的重视的推动。预测期内的关键趋势包括数数位双胞胎技术、跨行业协作、感测器技术的进步、高级分析和机器学习以及云端基础的解决方案。

减少维护成本、设备故障和停机时间的需求不断增加是推动预测性维护市场成长的主要因素。设备停机时间是指因意外故障而导致特定机器无法运作的时间段。大型机械频繁发生故障和意外停机可能会扰乱业务运营，导致暂时停产、劳动力閒置和经济处罚。例如，2023年2月，美国政府机构国家生物技术资讯中心报告称，製造机械的维护成本占总生产成本的15%至70%。因此，预计降低维护成本、设备故障和停机时间的不断增长的需求将在整个预测期内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。物联网是由相互连接的运算设备、机器和电子设备组成的网路系统，它们具有唯一的 ID（UID），无需人与人或人与电脑的互动即可传输资料。预测性维护物联网设备有助于即时监控设备，收集资料进行分析，在问题发生之前识别潜在问题，减少停机时间，并优化维护计划以提高营运效率。根据IoT Analytics 2022年5月发布的《物联网现况-2022年春季》报告显示，2021年全球活跃终端数量为122亿，物联网连线总数成长8%。预计到 2022 年，物联网产业将成长 18%，达到 144 亿活跃连线。因此，物联网的广泛应用正在推动预测性维护市场的发展。

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 - 宏观经济情境 宏观经济情境包括利率、通膨、地缘政治、新冠疫情和市场復苏的影响

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、限制因素）
  • 最终用途产业分析
  • 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
  • 全球预测性维护市场预测：规模与成长，2024-2029 年，2034 年
  • 全球预测性维护总目标市场（TAM）

第六章市场区隔

  • 全球预测性维护市场：按组件、效能和预测，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，2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 云
  • 全球预测性维护市场（相关利益者、绩效及预测，2019-2024 年、2024-2029 年、2034 年）
  • MRO
  • 製造业
  • 技术整合商
  • 全球预测性维护市场：按应用、效能和预测，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：按最终用户、绩效和预测，2019-2024 年、2024-2029 年、2034 年
  • 航太和国防
  • 汽车与运输
  • 能源与公共产业
  • 卫生保健
  • 资讯科技和通讯
  • 製造业
  • 石油和天然气
  • 其他最终用户
  • 全球预测性维护市场、解决方案细分、类型、效能和预测（2019-2024 年、2024-2029 年预测、2034 年预测）
  • 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、绩效和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 整合与实施
  • 支援和维护
  • 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，2019-2024 年、2024-2029 年、2034 年
  • 全球预测性维护市场：依国家、表现及预测，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20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30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：公司简介
    • 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 其他大型创新企业

  • 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表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029 年预测性维护市场：提供新机会的国家
  • 2029 年预测性维护市场：细分市场将带来新机会
  • 2029 年预测性维护市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r26905

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.

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 $11.88 billion in 2025 at a compound annual growth rate (CAGR) of 27.6%. 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 $33.36 billion in 2029 at a compound annual growth rate (CAGR) of 29.5%. 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 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? 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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
  • 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 And Covid And Recovery On The Market

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