查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1465850

2024 年营运预测维护全球市场报告

Operational Predictive Maintenance Global Market Report 2024
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计营运预测维护市场规模在未来几年将大幅成长。 2028年，将以26.3%的年复合成长率(CAGR)成长至186.2亿美元。预测期内的预期成长是由新产业和应用的扩张、对主动维护解决方案的需求增加、新兴国家的市场渗透、预测性维护技术的采用、永续性和能源效率推动的，这可以归因于多种因素，包括提升。预测期内预计的主要趋势包括物联网感测器和资料分析的整合、机器学习演算法的采用、跨行业的应用扩展、云端基础的平台的开发以及与企业资产管理系统的整合等。

在可预见的未来，物联网 (IoT) 设备的日益普及预计将推动营运预测维护市场的成长。感测器、致动器和家用电器等物联网设备连接到网路并无线传输资料。普及的高速互联网连接、工业自动化、供应链管理的进步和资料分析能力都促进了这一点。这些设备对于营运预测维护至关重要，可实现即时监控、资料分析、早期问题检测、基于状态的维护、预测洞察和持续改进。这些设备使公司能够优化资产性能、降低成本并提高营运效率。例如，Akamai Technologies Inc. 预测，物联网连接数将从 2021 年的 151 亿增加到 2025 年的 233 亿，这表明物联网设备的普及不断提高，推动了营运预测维护市场的发展。

营运预测维护市场的主要企业正在利用创新的人工智慧技术（例如基于人工智慧的预测维护解决方案）来提高预测维护流程的准确性、效率和有效性。这些解决方案利用 AI 和 ML（机器学习）技术在本地监控工业设备的运作状况，而不依赖基于互联网的云端连接。例如，2021 年 5 月，QuickLogic Corporation 宣布推出基于 AI 的预测性维护解决方案，该解决方案利用 QuickLogic EOS S3 平台和 SensiML Analytics Toolkit。该解决方案整合了人工智慧和机器学习技术来监控製造设备并区分正常和异常操作。该平台专为行动市场和物联网应用而设计，功耗低，支援广泛的开放原始码软体和硬件，有助于快速高效的解决方案开发。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球营运预测维护市场驱动因素与限制因素
    • 市场驱动力
    • 市场限制因素
  • 全球营运预测维护市场表现：规模与成长，2018-2023
  • 全球营运预测维护市场预测：规模与成长，2023-2028，2033F

第六章 市场细分

  • 全球营运预测维护市场：按类型分類的绩效与预测，2018-2023、2023-2028F、2033F
  • 软体
  • 服务
  • 全球营运预测维护市场表现与引入模型预测，2018-2023、2023-2028F、2033F
  • 云
  • 本地
  • 全球营运预测维护市场：依技术分類的绩效与预测，2018-2023、2023-2028F、2033F
  • 机器学习
  • 深度学习
  • 巨量资料和分析
  • 全球营运预测维护市场：最终用户的绩效与预测，2018-2023、2023-2028F、2033F
  • 公共部门
  • 车
  • 製造业
  • 卫生保健
  • 能源和公共事业
  • 运输
  • 其他最终用户

第 7 章 区域/国家分析

  • 全球营运预测维护市场：按地区分類的绩效与预测，2018-2023、2023-2028F、2033F
  • 全球营运预测维护市场：按国家/地区分類的绩效和预测，2018-2023、2023-2028F、2033F

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14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

第三十章 竞争格局及公司概况

  • 营运预测维修市场：竞争格局
  • 营运预测维护市场：公司简介
    • Google LLC
    • Microsoft Corporation
    • Robert Bosch GmbH
    • Hitachi Ltd.
    • Amazon Web Services Inc.

第三十一章 其他重大及创新企业

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

第32章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章前瞻性与潜力分析

第36章附录

简介目录
Product Code: r17169

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

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

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

The operational predictive maintenance market size has grown exponentially in recent years. It will grow from $5.78 billion in 2023 to $7.31 billion in 2024 at a compound annual growth rate (CAGR) of 26.5%. The growth observed during the historic period can be attributed to several factors, including cost savings resulting from reduced downtime and maintenance costs, improved asset reliability and performance, enhanced safety and risk mitigation measures, regulatory compliance requirements, and a growing awareness of the benefits of predictive maintenance.

The operational predictive maintenance market size is expected to see exponential growth in the next few years. It will grow to $18.62 billion in 2028 at a compound annual growth rate (CAGR) of 26.3%. The anticipated growth in the forecast period can be attributed to several factors, including expansion into new industries and applications, increasing demand for proactive maintenance solutions, market penetration in emerging economies, adoption of predictive maintenance practices, and a heightened focus on sustainability and energy efficiency initiatives. Major trends expected in the forecast period include the integration of IoT sensors and data analytics, adoption of machine learning algorithms, expansion of applications across various industries, development of cloud-based platforms, and integration with enterprise asset management systems.

The growth of the operational predictive maintenance market is expected to be driven by the increasing adoption of IoT (Internet of Things) devices in the foreseeable future. IoT devices, including sensors, actuators, and appliances, connect wirelessly to networks and transmit data, facilitated by widespread high-speed internet connectivity, industrial automation, supply chain management advancements, and data analytics capabilities. These devices are integral to operational predictive maintenance, enabling real-time monitoring, data analytics, early issue detection, condition-based maintenance, predictive insights, and continuous improvement. They help organizations optimize asset performance, reduce costs, and enhance operating efficiency. For example, Akamai Technologies Inc. predicts that IoT connections will rise from 15.1 billion in 2021 to 23.3 billion by 2025, illustrating the increasing prevalence of IoT devices driving the operational predictive maintenance market.

Leading companies in the operational predictive maintenance market are leveraging innovative AI technologies, such as AI-based predictive maintenance solutions, to enhance the accuracy, efficiency, and effectiveness of predictive maintenance processes. These solutions utilize AI or ML (machine learning) technology to monitor industrial equipment condition locally, without relying on internet-based cloud connections. QuickLogic Corporation, for instance, introduced an AI-based predictive maintenance solution in May 2021, leveraging the QuickLogic EOS S3 Platform and SensiML Analytics Toolkit. This solution integrates AI and ML technology to monitor manufacturing equipment, distinguishing between normal and abnormal operations. The platform, designed for mobile markets and IoT applications, offers low-power consumption and supports a wide range of open-source software and hardware, facilitating rapid and efficient solution development.

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

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

North America was the largest region in the operational predictive maintenance market in 2023. The regions covered in the operational predictive maintenance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

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

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

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

Operational Predictive Maintenance Global Market Report 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 operational predictive maintenance market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 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.
  • Identify growth segments for investment.
  • 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.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • 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 operational predictive maintenance ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The operational predictive maintenance market global report from the Business Research Company answers all these questions and many more.

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

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

The 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 Type: Software; Services
  • 2) By Deployment Model: Cloud; On-Premise
  • 3) By Technology: Machine Learning; Deep Learning; Big Data And Analytics
  • 4) By End User: Public Sector; Automotive; Manufacturing; Healthcare; Energy And Utility; Transportation; Other End Users
  • Companies Mentioned: Google LLC; Microsoft Corporation; Robert Bosch GmbH; Hitachi Ltd.; Amazon Web Services Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Operational Predictive Maintenance Market Characteristics

3. Operational Predictive Maintenance Market Trends And Strategies

4. Operational 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 Operational Predictive Maintenance Market Size and Growth

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

6. Operational Predictive Maintenance Market Segmentation

  • 6.1. Global Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Software
  • Services
  • 6.2. Global Operational Predictive Maintenance Market, Segmentation By Deployment Model, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Cloud
  • On-Premise
  • 6.3. Global Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Machine Learning
  • Deep Learning
  • Big Data And Analytics
  • 6.4. Global Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Public Sector
  • Automotive
  • Manufacturing
  • Healthcare
  • Energy And Utility
  • Transportation
  • Other End Users

7. Operational Predictive Maintenance Market Regional And Country Analysis

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

8. Asia-Pacific Operational Predictive Maintenance Market

  • 8.1. Asia-Pacific Operational 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 Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Operational Predictive Maintenance Market

  • 9.1. China Operational Predictive Maintenance Market Overview
  • 9.2. China Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Operational Predictive Maintenance Market

  • 10.1. India Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Operational Predictive Maintenance Market

  • 11.1. Japan Operational Predictive Maintenance Market Overview
  • 11.2. Japan Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Operational Predictive Maintenance Market

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

13. Indonesia Operational Predictive Maintenance Market

  • 13.1. Indonesia Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Operational Predictive Maintenance Market

  • 14.1. South Korea Operational Predictive Maintenance Market Overview
  • 14.2. South Korea Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Operational Predictive Maintenance Market

  • 15.1. Western Europe Operational Predictive Maintenance Market Overview
  • 15.2. Western Europe Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Operational Predictive Maintenance Market

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

17. Germany Operational Predictive Maintenance Market

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

18. France Operational Predictive Maintenance Market

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

19. Italy Operational Predictive Maintenance Market

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

20. Spain Operational Predictive Maintenance Market

  • 20.1. Spain Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Operational Predictive Maintenance Market

  • 21.1. Eastern Europe Operational Predictive Maintenance Market Overview
  • 21.2. Eastern Europe Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Operational Predictive Maintenance Market

  • 22.1. Russia Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Operational Predictive Maintenance Market

  • 23.1. North America Operational Predictive Maintenance Market Overview
  • 23.2. North America Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Operational Predictive Maintenance Market

  • 24.1. USA Operational Predictive Maintenance Market Overview
  • 24.2. USA Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Operational Predictive Maintenance Market

  • 25.1. Canada Operational Predictive Maintenance Market Overview
  • 25.2. Canada Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Operational Predictive Maintenance Market

  • 26.1. South America Operational Predictive Maintenance Market Overview
  • 26.2. South America Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Operational Predictive Maintenance Market

  • 27.1. Brazil Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Operational Predictive Maintenance Market

  • 28.1. Middle East Operational Predictive Maintenance Market Overview
  • 28.2. Middle East Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Operational Predictive Maintenance Market

  • 29.1. Africa Operational Predictive Maintenance Market Overview
  • 29.2. Africa Operational Predictive Maintenance Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Operational Predictive Maintenance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Operational Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Operational Predictive Maintenance Market Competitive Landscape And Company Profiles

  • 30.1. Operational Predictive Maintenance Market Competitive Landscape
  • 30.2. Operational Predictive Maintenance Market Company Profiles
    • 30.2.1. Google LLC
      • 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. Robert Bosch GmbH
      • 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. Hitachi Ltd.
      • 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. Amazon Web Services Inc.
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Operational Predictive Maintenance Market Other Major And Innovative Companies

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

32. Global Operational Predictive Maintenance Market Competitive Benchmarking

33. Global Operational Predictive Maintenance Market Competitive Dashboard

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

35. Operational Predictive Maintenance Market Future Outlook and Potential Analysis

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