2026-2030年全球預測性維護（PDM）市場

全球預測性維護 (PDM) 市場預計將從 2025 年到 2030 年成長至 434.416 億美元，預測期內複合年成長率為 33.2%。

這份關於全球預測性維護 (PDM) 市場的報告提供了全面的分析，包括市場規模和預測、趨勢、成長要素、挑戰以及涵蓋約 25 家供應商的供應商分析。

本報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。推動市場成長的因素包括：工業領域物聯網和先進感測器技術的快速普及、產業對消除計劃外停機時間和最佳化營運成本的強烈需求，以及機器學習 (ML) 演算法與企業軟體架構日益緊密的融合。

本研究客觀地結合了一手和二手訊息，包括來自主要行業相關人員的信息。報告內容涵蓋主要公司分析、全面的市場規模數據、細分市場數據及區域分析，以及供應商格局數據。此外，報告還包含歷史數據和預測數據。

本研究指出，生成式人工智慧和自然語言介面的廣泛應用是未來幾年全球預測性維護（PDM）市場成長的關鍵促進因素之一。此外，虛擬和軟感測器架構的普及，以及各國基礎設施營運中向預測性資產管理框架的快速轉型，預計也將產生龐大的市場需求。

目錄

第1章：執行摘要

第2章 Technavio 分析

• 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
• 輸入的重要性及差異化因素
• 干擾因素
• 促進因素和挑戰的影響

第3章 市場狀況

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場的定義
• 市場區隔分析
• 2025年市場規模
• 市場展望，2025-2030年

第5章 市場規模與表現

• 2020-2024年全球預測性維護（PDM）市場
• 基於組件的細分市場分析，2020-2024 年
• 按部署方式分類的細分市場分析，2020-2024 年
• 2020-2024年基於技術的細分市場分析
• 基於應用領域的細分市場分析，2020-2024 年
• 區域區隔市場分析，2020-2024 年
• 2020-2024年各國細分市場分析

第6章 定性分析

• 人工智慧的影響：全球預測性維護（PDM）市場
• 地緣政治衝突的影響：全球預測資料管理 (PDM) 市場

第7章：五力分析

第8章 市場區隔：按組件

• 比較：按組件
• 解決方案
• 服務
• 市場機會：按組件分類

第9章 市場區隔：依部署方式

• 比較：依部署方式
• 現場
• 雲
• 市場機會：依發展階段分類

第10章 市場區隔：依技術分類

• 比較：按技術
• IoT
• 人工智慧和機器學習
• 其他
• 市場機會：依技術分類

第11章 市場區隔：按應用領域

• 比較：透過應用
• 狀態監控
• 預測分析
• 遠端監控
• 其他
• 市場機會：依應用領域分類

第12章 客戶狀況

第13章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙
  • 荷蘭
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 南美洲
  • 巴西
  • 阿根廷
  • 智利
• 中東和非洲
  • 沙烏地阿拉伯
  • UAE
  • 南非
  • 埃及
  • 奈及利亞
• 市場機會：按地區分類

第14章 促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第15章 競爭格局

• 概述
• 競爭格局
• 混亂局面
• 產業風險

第16章 競爭分析

• 公司簡介
• 公司排名指標
• 企業市場定位
• ABB Ltd.
• C3.ai Inc.
• Emerson Electric Co.
• General Electric Co.
• Hitachi Ltd.
• Honeywell International Inc.
• IBM Corp.
• PTC Inc.
• Robert Bosch GmbH
• Rockwell Automation Inc.
• SAP SE
• SAS Institute Inc.
• Schneider Electric SE
• Siemens AG
• SKF AB

第17章附錄

The global predictive maintenance (PDM) market is forecasted to grow by USD 43441.6 mn during 2025-2030, accelerating at a CAGR of 33.2% during the forecast period. The report on the global predictive maintenance (PDM) market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by rapid industrial adoption of iots and advanced sensor technologies, strong industrial focus on eliminating unscheduled downtime and optimizing operational expenditures, increasing integration of ml algorithms and enterprise software architectures.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global predictive maintenance (PDM) market is segmented as below:

By Component

• Solutions
• Service

By Deployment

• On-premises
• Cloud

By Technology

• IoT
• AI and machine learning
• Others

By Application

• Condition monitoring
• Predictive analytics
• Remote monitoring
• Others

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • The Netherlands
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• South America
  • Brazil
  • Argentina
  • Chile
• Middle East and Africa
  • UAE
  • South Africa
  • Egypt
• Rest of World (ROW)

This study identifies the massive integration of gen ai and natural language interfaces as one of the prime reasons driving the global predictive maintenance (PDM) market growth during the next few years. Also, proliferation of virtual and soft sensor architectures and rapid transition of national infrastructure operations toward predictive asset management frameworks will lead to sizable demand in the market.

The report on the global predictive maintenance (PDM) market covers the following areas:

• Global predictive maintenance (PDM) market sizing
• Global predictive maintenance (PDM) market forecast
• Global predictive maintenance (PDM) market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global predictive maintenance (PDM) market vendors that include ABB Ltd., Aspen Technology Inc., Augury Inc., C3.ai Inc., Emerson Electric Co., Fluke Corp., General Electric Co., Hitachi Ltd., Honeywell International Inc., IBM Corp., PTC Inc., Robert Bosch GmbH, Rockwell Automation Inc., SAP SE, SAS Institute Inc., Schneider Electric SE, Siemens AG, SKF AB, SparkCognition Inc., Uptake Technologies Inc.. Also, the global predictive maintenance (PDM) market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global Predictive Maintenance (PdM) Market 2020 - 2024
  • Historic Market Size - Data Table on Global Predictive Maintenance (PdM) Market 2020 - 2024 ($ million)
• 5.2 Component segment analysis 2020 - 2024
  • Historic Market Size - Component Segment 2020 - 2024 ($ million)
• 5.3 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.4 Technology segment analysis 2020 - 2024
  • Historic Market Size - Technology Segment 2020 - 2024 ($ million)
• 5.5 Application segment analysis 2020 - 2024
  • Historic Market Size - Application Segment 2020 - 2024 ($ million)
• 5.6 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.7 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of AI on global predictive maintenance (PdM) market
• 6.2 Impact of geopolitical conflicts on global predictive maintenance (PdM) market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Component

• 8.1 Market segments
• 8.2 Comparison by Component
• 8.3 Solutions - Market size and forecast 2025-2030
• 8.4 Service - Market size and forecast 2025-2030
• 8.5 Market opportunity by Component
  • Market opportunity by Component ($ million)

9 Market Segmentation by Deployment

• 9.1 Market segments
• 9.2 Comparison by Deployment
• 9.3 On-premises - Market size and forecast 2025-2030
• 9.4 Cloud - Market size and forecast 2025-2030
• 9.5 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

10 Market Segmentation by Technology

• 10.1 Market segments
• 10.2 Comparison by Technology
• 10.3 IoT - Market size and forecast 2025-2030
• 10.4 AI and machine learning - Market size and forecast 2025-2030
• 10.5 Others - Market size and forecast 2025-2030
• 10.6 Market opportunity by Technology
  • Market opportunity by Technology ($ million)

11 Market Segmentation by Application

• 11.1 Market segments
• 11.2 Comparison by Application
• 11.3 Condition monitoring - Market size and forecast 2025-2030
• 11.4 Predictive analytics - Market size and forecast 2025-2030
• 11.5 Remote monitoring - Market size and forecast 2025-2030
• 11.6 Others - Market size and forecast 2025-2030
• 11.7 Market opportunity by Application
  • Market opportunity by Application ($ million)

12 Customer Landscape

• 12.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

13 Geographic Landscape

• 13.1 Geographic segmentation
• 13.2 Geographic comparison
• 13.3 North America - Market size and forecast 2025-2030
  • 13.3.1 US - Market size and forecast 2025-2030
  • 13.3.2 Canada - Market size and forecast 2025-2030
  • 13.3.3 Mexico - Market size and forecast 2025-2030
• 13.4 Europe - Market size and forecast 2025-2030
  • 13.4.1 Germany - Market size and forecast 2025-2030
  • 13.4.2 UK - Market size and forecast 2025-2030
  • 13.4.3 France - Market size and forecast 2025-2030
  • 13.4.4 Italy - Market size and forecast 2025-2030
  • 13.4.5 Spain - Market size and forecast 2025-2030
  • 13.4.6 The Netherlands - Market size and forecast 2025-2030
• 13.5 APAC - Market size and forecast 2025-2030
  • 13.5.1 China - Market size and forecast 2025-2030
  • 13.5.2 Japan - Market size and forecast 2025-2030
  • 13.5.3 India - Market size and forecast 2025-2030
  • 13.5.4 South Korea - Market size and forecast 2025-2030
  • 13.5.5 Australia - Market size and forecast 2025-2030
  • 13.5.6 Indonesia - Market size and forecast 2025-2030
• 13.6 South America - Market size and forecast 2025-2030
  • 13.6.1 Brazil - Market size and forecast 2025-2030
  • 13.6.2 Argentina - Market size and forecast 2025-2030
  • 13.6.3 Chile - Market size and forecast 2025-2030
• 13.7 Middle East and Africa - Market size and forecast 2025-2030
  • 13.7.1 Saudi Arabia - Market size and forecast 2025-2030
  • 13.7.2 UAE - Market size and forecast 2025-2030
  • 13.7.3 South Africa - Market size and forecast 2025-2030
  • 13.7.4 Egypt - Market size and forecast 2025-2030
  • 13.7.5 Nigeria - Market size and forecast 2025-2030
• 13.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

14 Drivers, Challenges, and Opportunity

• 14.1 Market drivers
  • Rapid industrial adoption of IoTs and advanced sensor technologies
  • Strong industrial focus on eliminating unscheduled downtime and optimizing operational expenditures
  • Increasing integration of ML algorithms and enterprise software architectures
• 14.2 Market challenges
  • Severe data silos and legacy infrastructure compatibility issues
  • Acute shortage of specialized technical talent and domain expertise
  • High initial capital investment and unclear financial return on investment
• 14.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 14.4 Market opportunities
  • Massive integration of Gen AI and natural language interfaces
  • Proliferation of virtual and soft sensor architectures
  • Rapid transition of national infrastructure operations toward predictive asset management frameworks

15 Competitive Landscape

• 15.1 Overview
• 15.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 15.3 Landscape disruption
  • Overview on factors of disruption
• 15.4 Industry risks
  • Impact of key risks on business

16 Competitive Analysis

• 16.1 Companies profiled
  • Companies covered
• 16.2 Company ranking index
  • Company ranking index
• 16.3 Market positioning of companies
  • Matrix on companies position and classification
• 16.4 ABB Ltd.
  • ABB Ltd. - Overview
  • ABB Ltd. - Business segments
  • ABB Ltd. - Key news
  • ABB Ltd. - Key offerings
  • ABB Ltd. - Segment focus
  • SWOT
• 16.5 C3.ai Inc.
  • C3.ai Inc. - Overview
  • C3.ai Inc. - Product / Service
  • C3.ai Inc. - Key news
  • C3.ai Inc. - Key offerings
  • SWOT
• 16.6 Emerson Electric Co.
  • Emerson Electric Co. - Overview
  • Emerson Electric Co. - Business segments
  • Emerson Electric Co. - Key news
  • Emerson Electric Co. - Key offerings
  • Emerson Electric Co. - Segment focus
  • SWOT
• 16.7 General Electric Co.
  • General Electric Co. - Overview
  • General Electric Co. - Business segments
  • General Electric Co. - Key offerings
  • General Electric Co. - Segment focus
  • SWOT
• 16.8 Hitachi Ltd.
  • Hitachi Ltd. - Overview
  • Hitachi Ltd. - Business segments
  • Hitachi Ltd. - Key offerings
  • Hitachi Ltd. - Segment focus
  • SWOT
• 16.9 Honeywell International Inc.
  • Honeywell International Inc. - Overview
  • Honeywell International Inc. - Business segments
  • Honeywell International Inc. - Key news
  • Honeywell International Inc. - Key offerings
  • Honeywell International Inc. - Segment focus
  • SWOT
• 16.10 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 16.11 PTC Inc.
  • PTC Inc. - Overview
  • PTC Inc. - Business segments
  • PTC Inc. - Key news
  • PTC Inc. - Key offerings
  • PTC Inc. - Segment focus
  • SWOT
• 16.12 Robert Bosch GmbH
  • Robert Bosch GmbH - Overview
  • Robert Bosch GmbH - Product / Service
  • Robert Bosch GmbH - Key offerings
  • SWOT
• 16.13 Rockwell Automation Inc.
  • Rockwell Automation Inc. - Overview
  • Rockwell Automation Inc. - Business segments
  • Rockwell Automation Inc. - Key news
  • Rockwell Automation Inc. - Key offerings
  • Rockwell Automation Inc. - Segment focus
  • SWOT
• 16.14 SAP SE
  • SAP SE - Overview
  • SAP SE - Business segments
  • SAP SE - Key news
  • SAP SE - Key offerings
  • SAP SE - Segment focus
  • SWOT
• 16.15 SAS Institute Inc.
  • SAS Institute Inc. - Overview
  • SAS Institute Inc. - Product / Service
  • SAS Institute Inc. - Key offerings
  • SWOT
• 16.16 Schneider Electric SE
  • Schneider Electric SE - Overview
  • Schneider Electric SE - Business segments
  • Schneider Electric SE - Key news
  • Schneider Electric SE - Key offerings
  • Schneider Electric SE - Segment focus
  • SWOT
• 16.17 Siemens AG
  • Siemens AG - Overview
  • Siemens AG - Business segments
  • Siemens AG - Key news
  • Siemens AG - Key offerings
  • Siemens AG - Segment focus
  • SWOT
• 16.18 SKF AB
  • SKF AB - Overview
  • SKF AB - Business segments
  • SKF AB - Key offerings
  • SKF AB - Segment focus
  • SWOT

17 Appendix

• 17.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 17.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 17.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 17.4 Research methodology
  • Research methodology
• 17.5 Data procurement
  • Information sources
• 17.6 Data validation
  • Data validation
• 17.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 17.8 Data synthesis
  • Data synthesis
• 17.9 360 degree market analysis
  • 360 degree market analysis
• 17.10 List of abbreviations
  • List of abbreviations