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1472086

2023-2030 年全球預測維護市場規模研究與預測（按組件、部署模型、組織規模、垂直產業和區域分析）

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個工作天內

價格

2022年全球預測維護市場價值約為54.5億美元，預計在2023-2030年預測期內將以超過30.90%的健康成長率成長。預測性維護是組織採用的一種主動維護策略，用於在設備故障發生之前預測並減輕故障，從而最佳化營運效率並減少停機時間。這種方法依靠先進的資料分析、機器學習演算法和感測器技術來監控機械狀況並根據歷史性能資料和即時操作參數預測潛在的故障或失效。預測維護的應用遍及各個產業，包括製造、運輸、能源和醫療保健等。透過持續監控設備運作狀況和效能指標，組織可以識別出顯示資產狀況即將發生故障或退化的模式和異常情況。這樣可以透過定期維護活動、零件更換或糾正措施進行及時干涉，從而防止代價高昂的故障、最大限度地減少生產中斷並延長關鍵資產的使用壽命。此外，工業物聯網 (IIoT) 的日益普及、對資產績效管理的日益關注以及從被動維護向主動維護的轉變，預計將在 2023-2030 年預測期內為市場創造利潤豐厚的需求。

此外，工業環境中工業物聯網設備和連接解決方案的激增促進了從設備和機械收集大量即時資料。這些資料可用於預測分析和狀態監測，從而實現主動維護行動，推動預測維護市場的成長。 2021 年，全球工業物聯網 (IIoT) 市場價值 2,635.2 億美元，預計到 2028 年將達到 21,887.3 億美元。此外，感測器技術、物聯網設備、雲端運算和機器學習演算法的不斷進步以及工業化的不斷發展預計將為市場成長創造利潤豐厚的機會。然而，高昂的初始實施成本和熟練勞動力的不足抑制了 2023-2030 年預測期內的市場成長。

全球預測維護市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲以及中東和非洲。由於物聯網和感測器技術的日益普及、預測性維護意識的增強、工業 4.0 和數位轉型舉措的興起以及資料分析和機器學習的進步，北美在 2022 年佔據了最大的市場佔有率。鑑於製造業、能源、交通運輸和醫療保健等各行業快速採用工業物聯網和感測器技術、政府舉措等因素，預計亞太地區在預測期內將以最快的成長率成長促進工業 4.0、資料分析和人工智慧技術的不斷進步以及該地區製造業和基礎設施部門的擴張。

研究的目的是確定近年來不同細分市場和國家的市場規模，並預測未來幾年的價值。該報告旨在納入參與研究的國家內該行業的定性和定量方面。

該報告還提供了有關促進因素和挑戰等關鍵方面的詳細資訊，這些因素將決定市場的未來成長。此外，它還納入了利害關係人投資的微觀市場的潛在機會，以及對主要參與者的競爭格局和產品供應的詳細分析。

目錄

第 1 章：執行摘要

  • 市場概況
  • 2020-2030 年全球與細分市場估計與預測
    • 2020-2030 年預測性維護市場（按地區）
    • 預測性維護市場（按組件），2020-2030 年
    • 預測性維護市場（按部署模型），2020-2030 年
    • 預測性維護市場，依組織規模，2020-2030 年
    • 預測性維護市場，依垂直產業分類，2020-2030 年
  • 主要趨勢
  • 估算方法
  • 研究假設

第 2 章：全球預測維護市場定義與範圍

  • 研究目的
  • 市場定義和範圍
    • 產業演變
    • 研究範圍
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：全球預測維護市場動態

  • 預測性維護市場影響分析（2020-2030）
    • 市場促進因素
      • 工業物聯網 (IIoT) 的採用率不斷提高
      • 日益重視資產績效管理
      • 從被動維護轉向主動維護的轉變
    • 市場挑戰
      • 初始實施成本高
      • 熟練勞動力不足
    • 市場機會
      • 感測器技術、物聯網設備、雲端運算和機器學習演算法的進步
      • 工業化不斷發展

第 4 章：全球預測維護市場：產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
  • 波特的五力影響分析
  • PEST分析
    • 政治的
    • 經濟的
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • COVID-19 影響分析
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：全球預測維修市場（按組件）

  • 市場概況
  • 按組件、性能分類的全球預測維修市場 - 潛力分析
  • 2020-2030 年全球預測維護市場估計與預測（按組件）
  • 預測維護市場，細分市場分析
    • 解決方案
    • 服務

第 6 章：全球預測維護市場（按部署模型）

  • 市場概況
  • 全球預測維護市場（按部署模型、效能 - 潛力分析）
  • 2020-2030 年按部署模型分類的全球預測維護市場估計與預測
  • 預測維護市場，細分市場分析
    • 雲
    • 本地部署

第 7 章：全球預測維修市場（依組織規模）

  • 市場概況
  • 按組織規模、績效分類的全球預測維修市場 - 潛力分析
  • 2020-2030 年按組織規模分類的全球預測維護市場估計與預測
  • 預測維護市場，細分市場分析
    • 大型企業
    • 中小企業

第 8 章：預測維護市場（依產業垂直）

  • 市場概況
  • 全球預測維護市場（按行業垂直、性能 - 潛力分析）
  • 2020-2030 年按垂直產業分類的全球預測維護市場估計與預測
  • 預測維護市場，細分市場分析
    • 政府與國防
    • 製造業
    • 能源與公用事業
    • 運輸與物流
    • 醫療保健與生命科學

第 9 章：全球預測維護市場、區域分析

  • 領先國家
  • 頂尖新興國家
  • 預測維護市場，區域市場簡介
  • 北美洲
    • 美國
      • 2020-2030 年組件細分估計與預測
      • 2020-2030 年部署模型細分估計與預測
      • 2020-2030 年組織規模細分估計與預測
      • 2020-2030 年產業垂直細分估計與預測
    • 加拿大
  • 歐洲預測維護市場概況
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太地區預測維護市場概況
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲預測維護市場概況
    • 巴西
    • 墨西哥
  • 中東和非洲
    • 沙烏地阿拉伯
    • 南非
    • 中東和非洲其他地區

第 10 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • IBM Corporation
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 最近的發展
    • 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：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
  • 研究假設

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