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市场调查报告书
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1472086

2023-2030 年全球预测维护市场规模研究与预测（按组件、部署模型、组织规模、垂直产业和区域分析）

Global Predictive Maintenance Market Size Study & Forecast, by Component, By Deployment Model, By Organization Size, By Industry Vertical, and Regional Analysis, 2023-2030
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 200 Pages | 商品交期: 2-3个工作天内

价格

2022年全球预测维护市场价值约为54.5亿美元，预计在2023-2030年预测期内将以超过30.90%的健康成长率成长。预测性维护是组织采用的一种主动维护策略，用于在设备故障发生之前预测并减轻故障，从而优化营运效率并减少停机时间。这种方法依靠先进的资料分析、机器学习演算法和感测器技术来监控机械状况并根据历史性能资料和即时操作参数预测潜在的故障或失效。预测维护的应用遍及各个产业，包括製造、运输、能源和医疗保健等。透过持续监控设备运作状况和效能指标，组织可以识别出显示资产状况即将发生故障或退化的模式和异常情况。这样可以透过定期维护活动、零件更换或纠正措施进行及时干预，从而防止代价高昂的故障、最大限度地减少生产中断并延长关键资产的使用寿命。此外，工业物联网 (IIoT) 的日益普及、对资产绩效管理的日益关注以及从被动维护向主动维护的转变，预计将在 2023-2030 年预测期内为市场创造利润丰厚的需求。

此外，工业环境中工业物联网设备和连接解决方案的激增促进了从设备和机械收集大量即时资料。这些资料可用于预测分析和状态监测，从而实现主动维护行动，推动预测维护市场的成长。 2021 年，全球工业物联网 (IIoT) 市场价值 2,635.2 亿美元，预计到 2028 年将达到 21,887.3 亿美元。此外，感测器技术、物联网设备、云端运算和机器学习演算法的不断进步以及工业化的不断发展预计将为市场成长创造利润丰厚的机会。然而，高昂的初始实施成本和熟练劳动力的不足抑制了 2023-2030 年预测期内的市场成长。

全球预测维护市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲以及中东和非洲。由于物联网和感测器技术的日益普及、预测性维护意识的增强、工业 4.0 和数位转型倡议的兴起以及资料分析和机器学习的进步，北美在 2022 年占据了最大的市场份额。鑑于製造业、能源、交通运输和医疗保健等各行业快速采用工业物联网和感测器技术、政府倡议等因素，预计亚太地区在预测期内将以最快的成长率成长促进工业 4.0、资料分析和人工智慧技术的不断进步以及该地区製造业和基础设施部门的扩张。

研究的目的是确定近年来不同细分市场和国家的市场规模，并预测未来几年的价值。该报告旨在纳入参与研究的国家内该行业的定性和定量方面。

该报告还提供了有关驱动因素和挑战等关键方面的详细信息，这些因素将决定市场的未来成长。此外，它还纳入了利害关係人投资的微观市场的潜在机会，以及对主要参与者的竞争格局和产品供应的详细分析。

目录

第 1 章：执行摘要

  • 市场概况
  • 2020-2030 年全球与细分市场估计与预测
    • 2020-2030 年预测性维护市场（按地区）
    • 预测性维护市场（按组件），2020-2030 年
    • 预测性维护市场（按部署模型），2020-2030 年
    • 预测性维护市场，依组织规模，2020-2030 年
    • 预测性维护市场，依垂直产业划分，2020-2030 年
  • 主要趋势
  • 估算方法
  • 研究假设

第 2 章：全球预测维护市场定义与范围

  • 研究目的
  • 市场定义和范围
    • 产业演变
    • 研究范围
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球预测维护市场动态

  • 预测性维护市场影响分析（2020-2030）
    • 市场驱动因素
      • 工业物联网 (IIoT) 的采用率不断提高
      • 日益重视资产绩效管理
      • 从被动维护转向主动维护的转变
    • 市场挑战
      • 初始实施成本高
      • 熟练劳动力不足
    • 市场机会
      • 感测器技术、物联网设备、云端运算和机器学习演算法的进步
      • 工业化不断发展

第 4 章：全球预测维护市场：产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
  • 波特的五力影响分析
  • PEST分析
    • 政治的
    • 经济的
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • COVID-19 影响分析
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：全球预测维修市场（按组件）

  • 市场概况
  • 按组件、性能分類的全球预测维修市场 - 潜力分析
  • 2020-2030 年全球预测维护市场估计与预测（按组件）
  • 预测维护市场，细分市场分析
    • 解决方案
    • 服务

第 6 章：全球预测维护市场（按部署模型）

  • 市场概况
  • 全球预测维护市场（按部署模型、效能 - 潜力分析）
  • 2020-2030 年按部署模型分類的全球预测维护市场估计与预测
  • 预测维护市场，细分市场分析
    • 云
    • 本地部署

第 7 章：全球预测维修市场（依组织规模）

  • 市场概况
  • 按组织规模、绩效分類的全球预测维修市场 - 潜力分析
  • 2020-2030 年按组织规模分類的全球预测维护市场估计与预测
  • 预测维护市场，细分市场分析
    • 大型企业
    • 中小企业

第 8 章：预测维护市场（依产业垂直）

  • 市场概况
  • 全球预测维护市场（按行业垂直、性能 - 潜力分析）
  • 2020-2030 年按垂直产业分類的全球预测维护市场估计与预测
  • 预测维护市场，细分市场分析
    • 政府与国防
    • 製造业
    • 能源与公用事业
    • 运输与物流
    • 医疗保健与生命科学

第 9 章：全球预测维护市场、区域分析

  • 领先国家
  • 顶尖新兴国家
  • 预测维护市场，区域市场简介
  • 北美洲
    • 我们
      • 2020-2030 年组件细分估计与预测
      • 2020-2030 年部署模型细分估计与预测
      • 2020-2030 年组织规模细分估计与预测
      • 2020-2030 年产业垂直细分估计与预测
    • 加拿大
  • 欧洲预测维护市场概况
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太地区预测维护市场概况
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太地区其他地区
  • 拉丁美洲预测维护市场概况
    • 巴西
    • 墨西哥
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 中东和非洲其他地区

第 10 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • IBM Corporation
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 最近的发展
    • Microsoft Corporation
    • SAP SE
    • Schneider Electric SE
    • Hitachi, Ltd.
    • SAS Institute, Inc.
    • Oracle Corporation
    • Siemens AG
    • Axiomtek Co., Ltd.
    • Banner Engineering Corp.

第 11 章：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
  • 研究假设

Global Predictive Maintenance Market is valued approximately at USD 5.45 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 30.90% over the forecast period 2023-2030. Predictive Maintenance is a proactive maintenance strategy employed by organizations to anticipate and mitigate equipment failures before they occur, thereby optimizing operational efficiency and reducing downtime. This approach relies on advanced data analytics, machine learning algorithms, and sensor technologies to monitor the condition of machinery and predict potential faults or failures based on historical performance data and real-time operational parameters. The application of Predictive Maintenance spans various industries, including manufacturing, transportation, energy, and healthcare, among others. By continuously monitoring equipment health and performance metrics, organizations can identify patterns and anomalies indicative of impending failures or degradation in asset condition. This enables timely intervention through scheduled maintenance activities, part replacement, or corrective actions, thereby preventing costly breakdowns, minimizing production disruptions, and extending the lifespan of critical assets. Moreover, the growing adoption industrial internet of things (IIoT), increasing focus on asset performance management, and rising shift from reactive to proactive maintenance are anticipated to create the lucrative demand for the market during forecast period 2023-2030.

Additionally, the proliferation of IIoT devices and connectivity solutions in industrial settings has facilitated the collection of vast amounts of real-time data from equipment and machinery. This data can be leveraged for predictive analytics and condition monitoring, enabling proactive maintenance actions, driving the growth of the Predictive Maintenance market. In 2021, the global industrial internet of things (IIoT) market was valued USD 263.52 billion and it is anticipated to reach USD 2,188.73 billion by 2028. Aa a result, the growing adoption of IIoT is anticipated to support the market growth. Moreover, the growing advancement in sensor technology, IoT devices, cloud computing, and machine learning algorithms, and growing industrialization are anticipated to create lucrative opportunity for the market growth. However, the high initial implementing costs, and inadequate availability of skilled workforce stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Predictive Maintenance Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 with largest market share owing to the increasing adoption of IOT and sensor technologies, growing awareness of predictive maintenance, rise of industry 4.0 and digital transformation initiatives, and advancement in data analytics and machine learning. Whereas, the Asia Pacific region is expected to grow with the fastest growth rate during the forecast period, owing to factors such as the rapid adoption of industrial IoT and sensor technologies across various industries such as manufacturing, energy, transportation, and healthcare, government initiatives promoting industry 4.0, growing advancements in data analytics and ai technologies, and expansion of manufacturing and infrastructure sectors in the region.

Major market players included in this report are:

  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • Schneider Electric SE
  • Hitachi, Ltd.
  • SAS Institute, Inc.
  • Oracle Corporation
  • Siemens AG
  • Axiomtek Co., Ltd.
  • Banner Engineering Corp.

Recent Developments in the Market:

  • In April 2023, TrendMiner has unveiled an upgraded version of its predictive maintenance software, named the Digital Twin Manager. This latest version boasts improved compatibility with cloud data sources from leading providers like AWS and Microsoft. Additionally, it introduces interactive search capabilities, empowering users to glean insights from data swiftly and make informed decisions with heightened efficiency.
  • In May 2023, Cisco Systems, Inc. and NTT, a leading provider of telecom infrastructure services, have joined forces to co-create a suite of solutions aimed at delivering real-time data insights, bolstering decision-making processes, and fortifying security measures. Leveraging predictive maintenance, supply chain management, and asset tracking capabilities, this collaboration aims to empower organizations with advanced tools for optimizing operations and safeguarding critical assets.

Global Predictive Maintenance Market Report Scope:

  • Historical Data - 2020 - 2021
  • Base Year for Estimation - 2022
  • Forecast period - 2023-2030
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Segments Covered - Component, Deployment Model, Organization Size, Industry Vertical, Region
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

  • Solutions
  • Services

By Deployment Model:

  • Cloud
  • On-premise

By Organization Size:

  • Large Enterprises
  • Small and Medium-sized Enterprises

By Industry Vertical:

  • Government & Defense
  • Manufacturing
  • Energy & Utilities
  • Transportation & Logistics
  • Healthcare & Life Sciences

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Table of Contents

Chapter 1.Executive Summary

  • 1.1.Market Snapshot
  • 1.2.Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
    • 1.2.1.Predictive Maintenance Market, by region, 2020-2030 (USD Billion)
    • 1.2.2.Predictive Maintenance Market, by Component, 2020-2030 (USD Billion)
    • 1.2.3.Predictive Maintenance Market, by Deployment Model, 2020-2030 (USD Billion)
    • 1.2.4.Predictive Maintenance Market, by Organization Size, 2020-2030 (USD Billion)
    • 1.2.5.Predictive Maintenance Market, by Industry Vertical, 2020-2030 (USD Billion)
  • 1.3.Key Trends
  • 1.4.Estimation Methodology
  • 1.5.Research Assumption

Chapter 2.Global Predictive Maintenance Market Definition and Scope

  • 2.1.Objective of the Study
  • 2.2.Market Definition & Scope
    • 2.2.1.Industry Evolution
    • 2.2.2.Scope of the Study
  • 2.3.Years Considered for the Study
  • 2.4.Currency Conversion Rates

Chapter 3.Global Predictive Maintenance Market Dynamics

  • 3.1.Predictive Maintenance Market Impact Analysis (2020-2030)
    • 3.1.1.Market Drivers
      • 3.1.1.1.Growing adoption industrial internet of things (IIoT)
      • 3.1.1.2.Increasing focus on asset performance management
      • 3.1.1.3.Rising shift from reactive to proactive maintenance
    • 3.1.2.Market Challenges
      • 3.1.2.1.High initial implementation costs
      • 3.1.2.2.Inadequate availability of skilled workforce
    • 3.1.3.Market Opportunities
      • 3.1.3.1.Advancement in sensor technology, IoT devices, cloud computing, and machine learning algorithms
      • 3.1.3.2.Growing industrialization

Chapter 4.Global Predictive Maintenance Market: Industry Analysis

  • 4.1.Porter's 5 Force Model
    • 4.1.1.Bargaining Power of Suppliers
    • 4.1.2.Bargaining Power of Buyers
    • 4.1.3.Threat of New Entrants
    • 4.1.4.Threat of Substitutes
    • 4.1.5.Competitive Rivalry
  • 4.2.Porter's 5 Force Impact Analysis
  • 4.3.PEST Analysis
    • 4.3.1.Political
    • 4.3.2.Economic
    • 4.3.3.Social
    • 4.3.4.Technological
    • 4.3.5.Environmental
    • 4.3.6.Legal
  • 4.4.Top investment opportunity
  • 4.5.Top winning strategies
  • 4.6.COVID-19 Impact Analysis
  • 4.7.Disruptive Trends
  • 4.8.Industry Expert Perspective
  • 4.9.Analyst Recommendation & Conclusion

Chapter 5.Global Predictive Maintenance Market, by Component

  • 5.1.Market Snapshot
  • 5.2.Global Predictive Maintenance Market by Component, Performance - Potential Analysis
  • 5.3.Global Predictive Maintenance Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
  • 5.4.Predictive Maintenance Market, Sub Segment Analysis
    • 5.4.1.Solutions
    • 5.4.2.Services

Chapter 6.Global Predictive Maintenance Market, by Deployment Model

  • 6.1.Market Snapshot
  • 6.2.Global Predictive Maintenance Market by Deployment Model, Performance - Potential Analysis
  • 6.3.Global Predictive Maintenance Market Estimates & Forecasts by Deployment Model 2020-2030 (USD Billion)
  • 6.4.Predictive Maintenance Market, Sub Segment Analysis
    • 6.4.1.Cloud
    • 6.4.2.On-premise

Chapter 7.Global Predictive Maintenance Market, by Organization Size

  • 7.1.Market Snapshot
  • 7.2.Global Predictive Maintenance Market by Organization Size, Performance - Potential Analysis
  • 7.3.Global Predictive Maintenance Market Estimates & Forecasts by Organization Size 2020-2030 (USD Billion)
  • 7.4.Predictive Maintenance Market, Sub Segment Analysis
    • 7.4.1.Large Enterprises
    • 7.4.2.Small and Medium-sized Enterprise

Chapter 8.Predictive Maintenance Market, by Industry Vertical

  • 8.1.Market Snapshot
  • 8.2.Global Predictive Maintenance Market by Industry Vertical, Performance - Potential Analysis
  • 8.3.Global Predictive Maintenance Market Estimates & Forecasts by Industry Vertical 2020-2030 (USD Billion)
  • 8.4.Predictive Maintenance Market, Sub Segment Analysis
    • 8.4.1.Government & Defense
    • 8.4.2.Manufacturing
    • 8.4.3.Energy & Utilities
    • 8.4.4.Transportation & Logistics
    • 8.4.5.Healthcare & Life Sciences

Chapter 9.Global Predictive Maintenance Market, Regional Analysis

  • 9.1.Top Leading Countries
  • 9.2.Top Emerging Countries
  • 9.3.Predictive Maintenance Market, Regional Market Snapshot
  • 9.4.North America Predictive Maintenance Market
    • 9.4.1.U.S. Predictive Maintenance Market
      • 9.4.1.1.Component breakdown estimates & forecasts, 2020-2030
      • 9.4.1.2.Deployment Model breakdown estimates & forecasts, 2020-2030
      • 9.4.1.3.Organization Size breakdown estimates & forecasts, 2020-2030
      • 9.4.1.4.Industry Vertical breakdown estimates & forecasts, 2020-2030
    • 9.4.2.Canada Predictive Maintenance Market
  • 9.5.Europe Predictive Maintenance Market Snapshot
    • 9.5.1.U.K. Predictive Maintenance Market
    • 9.5.2.Germany Predictive Maintenance Market
    • 9.5.3.France Predictive Maintenance Market
    • 9.5.4.Spain Predictive Maintenance Market
    • 9.5.5.Italy Predictive Maintenance Market
    • 9.5.6.Rest of Europe Predictive Maintenance Market
  • 9.6.Asia-Pacific Predictive Maintenance Market Snapshot
    • 9.6.1.China Predictive Maintenance Market
    • 9.6.2.India Predictive Maintenance Market
    • 9.6.3.Japan Predictive Maintenance Market
    • 9.6.4.Australia Predictive Maintenance Market
    • 9.6.5.South Korea Predictive Maintenance Market
    • 9.6.6.Rest of Asia Pacific Predictive Maintenance Market
  • 9.7.Latin America Predictive Maintenance Market Snapshot
    • 9.7.1.Brazil Predictive Maintenance Market
    • 9.7.2.Mexico Predictive Maintenance Market
  • 9.8.Middle East & Africa Predictive Maintenance Market
    • 9.8.1.Saudi Arabia Predictive Maintenance Market
    • 9.8.2.South Africa Predictive Maintenance Market
    • 9.8.3.Rest of Middle East & Africa Predictive Maintenance Market

Chapter 10.Competitive Intelligence

  • 10.1.Key Company SWOT Analysis
  • 10.2.Top Market Strategies
  • 10.3.Company Profiles
    • 10.3.1.IBM Corporation
      • 10.3.1.1.Key Information
      • 10.3.1.2.Overview
      • 10.3.1.3.Financial (Subject to Data Availability)
      • 10.3.1.4.Product Summary
      • 10.3.1.5.Recent Developments
    • 10.3.2.Microsoft Corporation
    • 10.3.3.SAP SE
    • 10.3.4.Schneider Electric SE
    • 10.3.5.Hitachi, Ltd.
    • 10.3.6.SAS Institute, Inc.
    • 10.3.7.Oracle Corporation
    • 10.3.8.Siemens AG
    • 10.3.9.Axiomtek Co., Ltd.
    • 10.3.10.Banner Engineering Corp.

Chapter 11.Research Process

  • 11.1.Research Process
    • 11.1.1.Data Mining
    • 11.1.2.Analysis
    • 11.1.3.Market Estimation
    • 11.1.4.Validation
    • 11.1.5.Publishing
  • 11.2.Research Attributes
  • 11.3.Research Assumption

LIST OF TABLES

  • TABLE 1.Global Predictive Maintenance Market, report scope
  • TABLE 2.Global Predictive Maintenance Market estimates & forecasts by Region 2020-2030 (USD Billion)
  • TABLE 3.Global Predictive Maintenance Market estimates & forecasts by Component 2020-2030 (USD Billion)
  • TABLE 4.Global Predictive Maintenance Market estimates & forecasts by Deployment Model 2020-2030 (USD Billion)
  • TABLE 5.Global Predictive Maintenance Market estimates & forecasts by Organization Size 2020-2030 (USD Billion)
  • TABLE 6.Global Predictive Maintenance Market estimates & forecasts by Industry Vertical 2020-2030 (USD Billion)
  • TABLE 7.Global Predictive Maintenance Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 8.Global Predictive Maintenance Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 9.Global Predictive Maintenance Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 10.Global Predictive Maintenance Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 11.Global Predictive Maintenance Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 12.Global Predictive Maintenance Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 13.Global Predictive Maintenance Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 14.Global Predictive Maintenance Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 15.Global Predictive Maintenance Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 16.Global Predictive Maintenance Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 17.U.S. Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 18.U.S. Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 19.U.S. Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 20.Canada Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 21.Canada Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 22.Canada Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 23.UK Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 24.UK Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 25.UK Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 26.Germany Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 27.Germany Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 28.Germany Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 29.France Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 30.France Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 31.France Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 32.Italy Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 33.Italy Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 34.Italy Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 35.Spain Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 36.Spain Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 37.Spain Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 38.RoE Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 39.RoE Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 40.RoE Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 41.China Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 42.China Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 43.China Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 44.India Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 45.India Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 46.India Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 47.Japan Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 48.Japan Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 49.Japan Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 50.South Korea Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 51.South Korea Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 52.South Korea Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 53.Australia Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 54.Australia Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 55.Australia Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 56.RoAPAC Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 57.RoAPAC Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 58.RoAPAC Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 59.Brazil Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 60.Brazil Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 61.Brazil Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 62.Mexico Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 63.Mexico Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 64.Mexico Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 65.RoLA Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 66.RoLA Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 67.RoLA Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 68.Saudi Arabia Predictive Maintenance Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 69.South Africa Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 70.RoMEA Predictive Maintenance Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 71.List of secondary sources, used in the study of global Predictive Maintenance Market
  • TABLE 72.List of primary sources, used in the study of global Predictive Maintenance Market
  • TABLE 73.Years considered for the study
  • TABLE 74.Exchange rates considered

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

LIST OF FIGURES

  • FIG 1.Global Predictive Maintenance Market, research methodology
  • FIG 2.Global Predictive Maintenance Market, Market estimation techniques
  • FIG 3.Global Market size estimates & forecast methods
  • FIG 4.Global Predictive Maintenance Market, key trends 2022
  • FIG 5.Global Predictive Maintenance Market, growth prospects 2023-2030
  • FIG 6.Global Predictive Maintenance Market, porters 5 force model
  • FIG 7.Global Predictive Maintenance Market, pest analysis
  • FIG 8.Global Predictive Maintenance Market, value chain analysis
  • FIG 9.Global Predictive Maintenance Market by segment, 2020 & 2030 (USD Billion)
  • FIG 10.Global Predictive Maintenance Market by segment, 2020 & 2030 (USD Billion)
  • FIG 11.Global Predictive Maintenance Market by segment, 2020 & 2030 (USD Billion)
  • FIG 12.Global Predictive Maintenance Market by segment, 2020 & 2030 (USD Billion)
  • FIG 13.Global Predictive Maintenance Market by segment, 2020 & 2030 (USD Billion)
  • FIG 14.Global Predictive Maintenance Market, regional snapshot 2020 & 2030
  • FIG 15.North America Predictive Maintenance Market 2020 & 2030 (USD Billion)
  • FIG 16.Europe Predictive Maintenance Market 2020 & 2030 (USD Billion)
  • FIG 17.Asia pacific Predictive Maintenance Market 2020 & 2030 (USD Billion)
  • FIG 18.Latin America Predictive Maintenance Market 2020 & 2030 (USD Billion)
  • FIG 19.Middle East & Africa Predictive Maintenance Market 2020 & 2030 (USD Billion)

List of tables and figures and dummy in nature, final lists may vary in the final deliverable