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市場調查報告書
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1678270

2025年預測性維護全球市場報告

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個工作天內

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簡介目錄

預計未來幾年預測性維護市場規模將呈指數級成長。到 2029 年,這一數字將成長至 333.6 億美元,年複合成長率(CAGR)為 29.5%。預測期內的成長將受到與企業系統的整合、複雜系統的預測分析以及對主動和預防性維護策略的重視的推動。預測期內的關鍵趨勢包括數位雙胞胎技術、跨行業協作、感測器技術的進步、高級分析和機器學習以及雲端基礎的解決方案。

減少維護成本、設備故障和停機時間的需求不斷增加是推動預測性維護市場成長的主要因素。設備停機時間是指因意外故障而導致特定機器無法運作的時間段。大型機械頻繁發生故障和意外停機可能會擾亂業務營運,導致暫時停產、勞動力閒置和經濟處罰。例如,2023年2月,美國政府機構國家生物技術資訊中心報告稱,製造機械的維護成本佔總生產成本的15%至70%。因此,預計降低維護成本、設備故障和停機時間的不斷成長的需求將在整個預測期內推動對預測性維護的需求。

由於物聯網 (IoT) 的日益普及,預測性維護市場預計將進一步成長。物聯網是由相互連接的運算設備、機器和電子設備組成的網路系統,它們具有唯一的 ID(UID),無需人與人或人與電腦的互動即可傳輸資料。預測性維護物聯網設備有助於即時監控設備,收集資料進行分析,在問題發生之前識別潛在問題,減少停機時間,並最佳化維護計劃以提高營運效率。根據IoT Analytics 2022年5月發布的《物聯網現況-2022年春季》報告顯示,2021年全球活躍終端數量為122億,物聯網連線總數成長8%。預計到 2022 年,物聯網產業將成長 18%,達到 144 億活躍連線。因此,物聯網的廣泛應用正在推動預測性維護市場的發展。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情境 宏觀經濟情境包括利率、通膨、地緣政治、新冠疫情和市場復甦的影響

第5章 全球成長分析與策略分析框架

  • 全球預測性維護 PESTEL 分析(政治、社會、技術、環境、法律因素、促進因素、限制因素)
  • 最終用途產業分析
  • 全球預測性維護市場:成長率分析
  • 全球預測性維護市場表現:規模與成長,2019-2024
  • 全球預測性維護市場預測:規模與成長,2024-2029 年,2034 年
  • 全球預測性維護總目標市場(TAM)

第6章市場區隔

  • 全球預測性維護市場:按組件、效能和預測,2019-2024 年、2024-2029 年、2034 年
  • 解決方案
  • 服務
  • 全球預測性維護市場:依部署模式、效能和預測,2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 全球預測性維護市場(相關利益者、績效及預測,2019-2024 年、2024-2029 年、2034 年)
  • MRO
  • 製造業
  • 技術整合商
  • 全球預測性維護市場:按應用、效能和預測,2019-2024 年、2024-2029 年、2034 年
  • 重型機械
  • 小型機器
  • 其他用途
  • 全球預測性維護市場:按最終用戶、績效和預測,2019-2024 年、2024-2029 年、2034 年
  • 航太和國防
  • 汽車與運輸
  • 能源與公共產業
  • 衛生保健
  • 資訊科技和通訊
  • 製造業
  • 石油和天然氣
  • 其他最終用戶
  • 全球預測性維護市場、解決方案細分、類型、效能和預測(2019-2024 年、2024-2029 年預測、2034 年預測)
  • 軟體平台
  • 預測分析工具
  • 機器學習模型
  • 物聯網感測器和設備
  • 全球預測性維護市場,按服務類型、績效和預測細分,2019-2024 年、2024-2029 年、2034 年
  • 諮詢服務
  • 整合與實施
  • 支援和維護
  • 培訓和教育

第7章 區域和國家分析

  • 全球預測性維護市場:按地區、績效和預測,2019-2024 年、2024-2029 年、2034 年
  • 全球預測性維護市場:依國家、表現及預測,2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章:中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章:義大利市場

第20章:西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章:加拿大市場

第26章 南美洲市場

第27章:巴西市場

第28章 中東市場

第29章:非洲市場

第30章競爭格局與公司概況

  • 預測性維修市場:競爭格局
  • 預測性維護市場:公司簡介
    • 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 其他大型創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

  • 2029 年預測性維護市場:提供新機會的國家
  • 2029 年預測性維護市場:細分市場將帶來新機會
  • 2029 年預測性維護市場:成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
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