全球預測性維護與資產績效市場：2023-2028

本報告審視了全球預測性維護和資產績效市場，提供了預測性維護 (PdM)、基於狀態的維護 (CbM) 和資產績效管理 (APM) 的定義，概述了技術和流程實施，並介紹它總結了驅動因素、市場規模趨勢和預測、各個細分市場和地區的詳細分析、競爭狀況、顯著趨勢和問題、案例研究等。

範例視圖

預測性維護 (PdM)、狀態維護 (CbM) 和資產績效管理 (APM) 市場分析與預測：

• 依技術堆疊（連接、硬體、服務、軟體）
• 按託管類型（私有雲/本地/公有雲）
• 按細分市場（第一產業、醫療保健、運輸、建築和房地產、其他）
• 依行業（離散製造、混合製造、製程製造）
• 按地區（撒哈拉以南非洲、中東和北非、南亞、拉丁美洲和加勒比地區、北美、東亞和太平洋地區、歐洲和中亞）
• 依國家（新加坡、澳洲、韓國、日本、中國、比利時、波蘭、荷蘭、瑞士、西班牙、義大利、法國、英國、德國、加拿大、美國等）

^*不包括 APM 細分。

上市公司

ABB AVEVA AWS Arundo AspenTech Augury Baker Hughes Cognite Falkonry GE

I-care IBM MachineMetrics MathWorks Microsoft Novity Rockwell Automation SKF Siemens Telit Cinterion

目錄

第 1 章執行摘要

第 2 章簡介

• 考慮預測性維護的三種方法
• PdM、CbM、APM 的定義
• 資產績效管理的關鍵組成部分
• PdM 與其他方法的比較
• PdM 的典型資產類型/應用領域
• PdM 的主要優勢

第 3 章技術概述

• PdM 實施流程
• 了解更多：購買和建構 PdM 解決方案
• 詳細資料：感測技術
• 詳細資訊：PdM 數據分析
• 詳細資料：PdM 軟體
• 詳細資訊：APM 軟體的工作原理

第四章市場規模與前景

• 全球智慧維護市場概況
• 世界 PdM 和 CbM 市場
  • 全球 PdM 和 CbM 市場：按資產和感測器類型劃分
  • 全球 PdM 與 CbM 市場：依技術堆疊劃分
  • 全球 PdM 與 CbM 市場：依託管類型劃分
  • 全球 PdM 與 CbM 市場：按細分市場
  • 全球 PdM 和 CbM 市場：按地區
• 全球 APM 市場

第五章競爭態勢

• 公司狀況
• 10 家最大的 PdM 供應商
• 10 家最大的 CbM 供應商
• 詳細資料：PdM 公司簡介
• 近期影響 PdM 競爭格局的重大新聞
• PdM 啟動
• 併購活動中的機器視覺專利
• 專利分析

第 6 章個案研究

第 7 章最終使用者見解

• 數位化調查
• 維護/可靠性調查

第 8 章趨勢與問題

第9章研究方法/市場定義

第 10 章關於 IoT 分析

作者

A 295-page report detailing the market for next-generation maintenance, including detailed definitions, adoption drivers, market projections, competitive landscape, end-user insights, notable trends, and case studies.

The “Predictive Maintenance Market Report 2023-2028” constitutes the 4^th update of IoT Analytics' ongoing coverage of predictive maintenance and is part of IoT Analytics' ongoing coverage of industrial and software/analytics topics. The content presented in this report is based on a compilation of primary research, including surveys and interviews with 35+ industry experts from predictive maintenance vendors and end users conducted between March and October 2023.

The report encompasses a holistic overview of the current state of the predictive maintenance market and adjacent markets such as condition-based maintenance and asset performance management, including market projections, factors driving adoption, competitive landscape, technology and process implementation overview, notable trends and challenges, and insightful case studies.

The primary objective of this document is to provide our readers with a comprehensive understanding of the current predictive maintenance market landscape, offering in-depth analysis, market sizing, and valuable insights to facilitate informed decision-making and strategic planning.

SAMPLE VIEW

What is predictive maintenance (PdM)?

• A set of techniques to accurately monitor the current condition of machines or any type of industrial equipment
• ... using either on-premises or cloud analytics solutions
• ... with the goal of predicting upcoming machine failure by using statistical methods and supervised/unsupervised ML.

Among other benefits, this approach promises cost savings over routine or time-based preventive maintenance because tasks are performed only when warranted.

What is asset performance management (APM)?

• A strategic equipment management approach that helps optimize the performance and maintenance efficiency of individual assets and of entire plants or fleets.

APM aims to improve the efficiency, availability, reliability, maintainability, and overall life cycle value of assets. This concept includes elements of CbM and PdM but goes beyond them.

What is condition-based maintenance (CbM)?

• A maintenance approach that monitors the actual condition of an asset to determine what maintenance needs to be done.

It does not involve further analytics, such as predicting the remaining useful life (RUL) or the overall health of the machine.

SAMPLE VIEW

The “ Predictive Maintenance Market Report 2023-2028” analyzes the predictive maintenance (PdM), condition-based maintenance (CbM), and asset performance management (APM)^* market from 2021 to 2028. It provides detailed data and forecasts for the market size:

• by tech stack (connectivity, hardware, services, software)

• by hosting type (Private cloud/on-premises, public cloud)

• by segment (primary sector, health care, transportation, contruction & real estate, other, hybrid manufacturing, process manufacturing, discrete manufacturing)

• by industry (discrete manufacturing, hybrid manufacturing, process manufacturing)

• by region (Sub-Saharan Africa, Middle East & North Africa, South Asia, Latin America & Caribbean, North America, East Asia & Pacific, Europe & Central Asia)

• by country (East Asia & Pacific: Singapore, Australia, South Korea, Japan, China, Other; Europe and Central Asia: Belgium, Poland, Netherlands, Switzerland, Spain, Italy, France, United Kingdom, Germany; North America: Canada, United States)

^*no breakdowns included for APM.

SAMPLE VIEW

Questions answered:

• What is predictive maintenance, condition-based maintenance, and asset performance management?

• What role does predictive maintenance play in the overall maintenance space?

• What are the key features, functionalities, and components of predictive maintenance solutions? What are the key components of asset performance management solutions?

• What is the current market size and projected growth of the predictive maintenance market?

• How does the predictive maintenance market split by tech stack, segment, hosting type, asset type, sensor type and region?

• What does the competitive landscape for predictive maintenance look like, who are the key players, and what is their market share?

• What are the emerging predictive maintenance trends and challenges?

• What are some successful case studies demonstrating the benefits of predictive maintenance in various applications?

Companies mentioned:

A selection of companies mentioned in the report.

Table of Contents

1. Executive Summary

2. Introduction

• 2.1. Three ways to look at predictive maintenance
• 2.2. Definition of PdM, CbM, and APM
• 2.3. Asset performance management key components
• 2.4. Comparison of PdM with other approaches
• 2.5. PdM typical types of assets/application areas
• 2.6. PdM key benefits

3. Technology Overview

• 3.1. PdM implementation process
• 3.2. Deep dive: buying vs. building the PdM solution
• 3.3. Deep dive: sensing techniques
• 3.4. Deep dive: PdM data analysis
• 3.5. Deep dive: PdM software
• 3.6. Deep dive: APM software in action

4. Market size & outlook

• 4.1. Overview of the global smart maintenance market
• 4.2. Global PdM and CbM Market
  • 4.2.1. Global PdM and CbM Market in 2022, by Asset and Sensor Type
  • 4.2.2. Global PdM and CbM Market, by Tech Stack
  • 4.2.3. Global PdM and CbM Market, by Hosting Type
  • 4.2.4. Global PdM and CbM Market, by Segment
  • 4.2.5. Global PdM and CbM Market, by Region
    • 4.2.5.1. Market regional deep dive: East & Pacific Asia, Europe & Central Asia, and North Amercia
• 4.3. Global APM Market

5. Competitive landscape

• 5.1. Company landscape
• 5.2. The 10 largest PdM vendors
• 5.3. The 10 largest CbM vendors
• 5.4. Deep dive: top five PdM company profiles
• 5.5. Notable recent news with effect on the PdM competitive landscape
• 5.6. PdM start-ups
• 5.7. Mergers and acquisitions (M&A) activity machine vision patents
• 5.8. Patent analysis

6. Case Studies

• 6.1. Case studies overview
• 6.2. Case studies

7. End User Insights

• 7.1. Digitization Survey
• 7.2. Maintenance and Reliability Survey

8. Trends & Challenges

• 8.1. Trends
• 8.2. Challenges

9. Methodology and market definitions

10. About IoT Analytics

Authors