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市場調查報告書
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1436615

2024 年預測性維護全球市場報告

Predictive Maintenance Global Market Report 2024
出版日期: 按訂單生產 | 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

預測性維護市場規模預計在未來幾年將快速成長。預計到 2028 年將以 28.3% 的複合年成長率 (CAGR) 成長至 256.8 億美元。預測期內的預期成長可歸因於與企業系統的整合、對複雜系統的預測分析的應用以及對主動維護策略的重視。預測期內預計的顯著趨勢包括數位雙胞胎技術的採用、跨行業協作、感測器技術的進步、高級分析和機器學習的實施、雲端基礎的解決方案的利用等。Masu。

降低維護成本、設備故障和停機時間的主要動力是促進預測性維護市場成長的關鍵因素。設備停機是指某台設備因意外故障而停止運作，為業務運作帶來挑戰的時期。頻繁的設備故障和大型設備的非計劃性停機可能會擾亂生產活動，導致員工閒置，並可能導致經濟處罰等。英國人工智慧驅動的預測維護軟體供應商Senseye Ltd. 於2021 年6 月發布的一項研究發現，計劃外停機每年對每個製造工廠造成的損失估計為1.72 億美元。很明顯，這一損失已得到賠償。這就是為什麼製造部門正在投資先進技術，以減少工廠機器停機的潛在負面影響。因此，減少維護成本、設備故障和停機時間的需求不斷增加，預計將推動整個預測期內對預測性維護的需求。

物聯網 (IoT) 的日益普及預計將推動預測性維護市場的進一步成長。物聯網是一個由互連運算設備、機械和機電設備組成的網路系統，具有唯一 ID (UID)，無需人與人或人與電腦互動即可傳輸資料。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、主動識別潛在問題、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《2022 年物聯網狀況春季報告》，2021 年活動端點數為 122 億個，物聯網連線總數成長 8%。預計到 2022 年，物聯網產業將成長 18%，活躍連線數達到 144 億。因此，物聯網的日益普及正在推動預測性維護市場。

目錄

第1章執行摘要

第2章 市場特點

第3章 市場趨勢與策略

第4章宏觀經濟情景

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19 對市場的影響

第5章世界市場規模與成長

  • 全球市場促進因素與限制因素
    • 市場促進因素
    • 市場限制因素
  • 2018-2023 年全球市場規模表現與成長
  • 全球市場規模預測與成長，2023-2028、2033

第6章市場區隔

  • 全球預測維護市場，按組件、實際和預測細分，2018-2023、2023-2028、2033
  • 解決方案
  • 服務
  • 全球預測維護市場，依部署模式、效能和預測細分，2018-2023、2023-2028、2033
  • 本地
  • 雲
  • 全球預測維護市場，依相關人員細分，實際與預測，2018-2023、2023-2028、2033
  • MRO
  • OEM/ODM
  • 技術整合商
  • 全球預測維護市場，按應用細分、實際和預測，2018-2023、2023-2028、2033
  • 重型設備
  • 小機器
  • 其他用途
  • 全球預測維護市場，按最終用戶細分，實際和預測，2018-2023、2023-2028、2033
  • 航太和國防
  • 汽車和交通
  • 能源和公共
  • 衛生保健
  • 資訊科技和通訊
  • 製造業
  • 石油天然氣
  • 其他最終用戶

第 7 章 區域與國家分析

  • 全球預測維護市場，按地區、績效和預測，2018-2023、2023-2028、2033
  • 全球預測維護市場，依國家、績效及預測，2018-2023、2023-2028、2033

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 競爭格局及公司概況

  • 預測性維護市場競爭格局
  • 預測性維護市場公司概況
    • Google LLC
    • Microsoft Corporation
    • Hitachi Ltd.
    • Amazon Web Services Inc.
    • Siemens AG

第31章 其他重大及創新企業

  • 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章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章 重大併購

第35章 未來前景與可能性分析

第36章附錄

簡介目錄
Product Code: r15949

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 $7.36 billion in 2023 to $9.49 billion in 2024 at a compound annual growth rate (CAGR) of 28.8%. The growth observed in the historical period can be attributed to the reduction of equipment downtime, cost savings, and adherence to 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 $25.68 billion in 2028 at a compound annual growth rate (CAGR) of 28.3%. The anticipated growth in the forecast period can be credited to the integration with enterprise systems, the application of predictive analytics for complex systems, and an emphasis on proactive maintenance strategies. Noteworthy trends expected in the forecast period encompass the adoption of digital twin technology, cross-industry collaboration, advancements in sensor technologies, the implementation of advanced analytics and machine learning, as well as the utilization of cloud-based solutions.

The significant drive to reduce maintenance costs, equipment failure, and downtime is a key factor contributing to the growth of the predictive maintenance market. Equipment downtime, which refers to the period during which specific equipment is not operational due to unplanned failure, poses challenges to business operations. Frequent equipment failures and unplanned downtime of large equipment can disrupt production activities, lead to idle staff time, incur financial penalties, and more. A study published by Senseye Ltd., a UK-based provider of AI-driven predictive maintenance software, in June 2021 revealed that each production plant loses an estimated $172 million annually due to unplanned downtime. Consequently, manufacturing units are investing in advanced technologies to mitigate the potential adverse effects of machinery downtime in the plant. Therefore, the growing demand to reduce maintenance costs, equipment failure, and downtime is anticipated to drive 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.

The increasing adoption of advanced technology emerges as a prominent trend in the predictive maintenance market. Leading companies in this sector are directing their efforts towards delivering technologically advanced solutions to meet the evolving demands of end customers, thereby solidifying their market positions. These companies are integrating next-generation technologies, including IoT, AI (artificial intelligence), ML (machine learning), thermography, and cloud computing, into their services to align with the growing market need for enhanced maintenance capabilities. An illustration of this trend is evident in the actions of Avanseus, a Singapore-based provider of predictive maintenance and intelligent monitoring solutions. In December 2021, Avanseus introduced an AI-based predictive maintenance solution within the operations of Bharti Airtel, a prominent Indian communications company. This solution leverages machine learning algorithms and artificial intelligence to proactively predict and prevent incidents in the network, supporting the pursuit of zero-fault, zero-touch networks.

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 report are 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., Factory Five Racing 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 2023. 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 2024 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.

Reasons to Purchase

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  • Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
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  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

  • 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
  • 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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Predictive Maintenance Market Size and Growth

  • 5.1. Global Predictive Maintenance Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Predictive Maintenance Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Predictive Maintenance Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Predictive Maintenance Market Segmentation

  • 6.1. Global Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Solutions
  • Service
  • 6.2. Global Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • On-premises
  • Cloud
  • 6.3. Global Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • MRO
  • OEM/ODM
  • Technology Integrators
  • 6.4. Global Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Heavy Machinery
  • Small Machinery
  • Other Applications
  • 6.5. Global Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Aerospace & Defense
  • Automotive & Transportation
  • Energy & Utilities
  • Healthcare
  • IT & Telecommunication
  • Manufacturing
  • Oil & Gas
  • Other End Users

7. Predictive Maintenance Market Regional And Country Analysis

  • 7.1. Global Predictive Maintenance Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Predictive Maintenance Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Predictive Maintenance Market

  • 8.1. Asia-Pacific Predictive Maintenance Market Overview
  • Region Information, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Predictive Maintenance Market

  • 10.1. India Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Predictive Maintenance Market

  • 12.1. Australia Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Predictive Maintenance Market

  • 13.1. Indonesia Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Predictive Maintenance Market

  • 16.1. UK Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Predictive Maintenance Market

  • 17.1. Germany Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Predictive Maintenance Market

  • 18.1. France Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Predictive Maintenance Market

  • 19.1. Italy Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Predictive Maintenance Market

  • 20.1. Spain Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Predictive Maintenance Market

  • 22.1. Russia Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Predictive Maintenance Market

  • 27.1. Brazil Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Microsoft Corporation
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Hitachi Ltd.
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Amazon Web Services Inc.
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Siemens AG
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

33. Global Predictive Maintenance Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Predictive Maintenance Market

35. Predictive Maintenance Market Future Outlook and Potential Analysis

  • 35.1 Predictive Maintenance Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Predictive Maintenance Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Predictive Maintenance Market In 2028 - 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