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市場調查報告書
商品編碼
1881691

預測性維護市場－全球產業規模、佔有率、趨勢、機會和預測（按組件、組織規模、部署模式、地區和競爭格局分類，2020-2030 年預測）

Predictive Maintenance Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Component, By Organization Size, By Deployment Model, By Region, and By Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 186 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024年全球預測性維護市場價值為67.7億美元，預計2030年將以27.91%的複合年成長率成長至296.5億美元。預測性維護（PdM）採用先進的資料分析和感測器技術來預測潛在的設備故障，從而實現主動維護計劃並最佳化資產性能。

市場概覽
預測期 2026-2030
2024年市場規模 67.7億美元
2030年市場規模 296.5億美元
2025-2030年複合年成長率 27.91%
成長最快的細分市場 服務
最大的市場 北美洲

主要市場促進因素

主要市場挑戰

主要市場趨勢

目錄

第1章：產品概述

第2章：研究方法

第3章：執行概要

第4章：顧客之聲

第5章：全球預測性維護市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件（解決方案、服務）
    • 依組織規模分類（大型企業、中小企業）
    • 依部署模式（雲端、本機部署）
    • 按地區
    • 按公司（2024 年）
  • 市場地圖

第6章：北美預測性維護市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲預測性維護市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區預測性維護市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲預測性維護市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲預測性維護市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章：市場動態

  • 促進要素
  • 挑戰

第12章：市場趨勢與發展

  • 併購（如有）
  • 產品發布（如有）
  • 最新進展

第13章：全球預測性維修市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商議價能力
  • 顧客的力量
  • 替代產品的威脅

第15章：競爭格局

  • Accenture plc
  • Cisco Systems, Inc.
  • General Electric Company
  • Honeywell International Inc.
  • Hitachi, Ltd.
  • IBM Corporation
  • Microsoft Corporation
  • Robert Bosch GmbH
  • SAP SE
  • Schneider Electric SE

第16章：策略建議

第17章調查會社について,免責事項

簡介目錄
Product Code: 21384

The Global Predictive Maintenance Market, valued at USD 6.77 Billion in 2024, is projected to experience a CAGR of 27.91% to reach USD 29.65 Billion by 2030. Predictive maintenance (PdM) employs advanced data analytics and sensor technologies to forecast potential equipment failures, enabling proactive maintenance scheduling and optimizing asset performance.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 6.77 Billion
Market Size 2030USD 29.65 Billion
CAGR 2025-203027.91%
Fastest Growing SegmentService
Largest MarketNorth America

Key Market Drivers

A primary catalyst for the expansion of the Global Predictive Maintenance Market is the critical imperative to minimize operational costs and reduce unplanned downtime. Businesses across various sectors seek methods to enhance equipment reliability and sustain production continuity, directly translating into tangible economic benefits. Unplanned equipment failures lead to significant production losses and increased repair expenses. Predictive maintenance solutions address these challenges by enabling proactive interventions rather than reactive responses, preventing costly breakdowns and facilitating optimized resource allocation.

Key Market Challenges

A significant challenge impeding broader market expansion for predictive maintenance solutions is the substantial initial investment required. Implementing comprehensive sensor infrastructure and integrating diverse data sources necessitates considerable capital expenditure. This financial barrier can significantly constrain adoption for numerous enterprises, particularly those with limited capital reserves.

Key Market Trends

The global predictive maintenance market is significantly influenced by the widespread adoption of digital twin technology for asset simulation and optimization. This trend involves creating virtual replicas of physical assets, systems, or processes to monitor their real-time performance, simulate various scenarios, and predict potential failures with high accuracy. Digital twins integrate data from sensors, operational systems, and historical records to provide a comprehensive, dynamic view of an asset's health and operational efficiency. This capability allows manufacturers to conduct virtual testing of process changes, identify optimal configurations, and reduce the time and cost associated with physical prototyping.

Key Market Players

  • Accenture plc
  • Cisco Systems, Inc.
  • General Electric Company
  • Honeywell International Inc.
  • Hitachi, Ltd.
  • IBM Corporation
  • Microsoft Corporation
  • Robert Bosch GmbH
  • SAP SE
  • Schneider Electric SE

Report Scope:

In this report, the Global Predictive Maintenance Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Predictive Maintenance Market, By Component:

  • Solution
  • Service

Predictive Maintenance Market, By Organization Size:

  • Large Enterprises
  • Small & Medium Enterprises

Predictive Maintenance Market, By Deployment Model:

  • Cloud
  • On-premise

Predictive Maintenance Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Predictive Maintenance Market.

Available Customizations:

Global Predictive Maintenance Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Predictive Maintenance Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Solution, Service)
    • 5.2.2. By Organization Size (Large Enterprises, Small & Medium Enterprises)
    • 5.2.3. By Deployment Model (Cloud, On-premise)
    • 5.2.4. By Region
    • 5.2.5. By Company (2024)
  • 5.3. Market Map

6. North America Predictive Maintenance Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Organization Size
    • 6.2.3. By Deployment Model
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Predictive Maintenance Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Organization Size
        • 6.3.1.2.3. By Deployment Model
    • 6.3.2. Canada Predictive Maintenance Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Organization Size
        • 6.3.2.2.3. By Deployment Model
    • 6.3.3. Mexico Predictive Maintenance Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Organization Size
        • 6.3.3.2.3. By Deployment Model

7. Europe Predictive Maintenance Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Organization Size
    • 7.2.3. By Deployment Model
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Predictive Maintenance Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Organization Size
        • 7.3.1.2.3. By Deployment Model
    • 7.3.2. France Predictive Maintenance Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Organization Size
        • 7.3.2.2.3. By Deployment Model
    • 7.3.3. United Kingdom Predictive Maintenance Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Organization Size
        • 7.3.3.2.3. By Deployment Model
    • 7.3.4. Italy Predictive Maintenance Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Organization Size
        • 7.3.4.2.3. By Deployment Model
    • 7.3.5. Spain Predictive Maintenance Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Organization Size
        • 7.3.5.2.3. By Deployment Model

8. Asia Pacific Predictive Maintenance Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Organization Size
    • 8.2.3. By Deployment Model
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Predictive Maintenance Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Organization Size
        • 8.3.1.2.3. By Deployment Model
    • 8.3.2. India Predictive Maintenance Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Organization Size
        • 8.3.2.2.3. By Deployment Model
    • 8.3.3. Japan Predictive Maintenance Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Organization Size
        • 8.3.3.2.3. By Deployment Model
    • 8.3.4. South Korea Predictive Maintenance Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Organization Size
        • 8.3.4.2.3. By Deployment Model
    • 8.3.5. Australia Predictive Maintenance Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Organization Size
        • 8.3.5.2.3. By Deployment Model

9. Middle East & Africa Predictive Maintenance Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Organization Size
    • 9.2.3. By Deployment Model
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Predictive Maintenance Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Organization Size
        • 9.3.1.2.3. By Deployment Model
    • 9.3.2. UAE Predictive Maintenance Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Organization Size
        • 9.3.2.2.3. By Deployment Model
    • 9.3.3. South Africa Predictive Maintenance Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Organization Size
        • 9.3.3.2.3. By Deployment Model

10. South America Predictive Maintenance Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Organization Size
    • 10.2.3. By Deployment Model
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Predictive Maintenance Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Organization Size
        • 10.3.1.2.3. By Deployment Model
    • 10.3.2. Colombia Predictive Maintenance Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Organization Size
        • 10.3.2.2.3. By Deployment Model
    • 10.3.3. Argentina Predictive Maintenance Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Organization Size
        • 10.3.3.2.3. By Deployment Model

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Predictive Maintenance Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Accenture plc
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Cisco Systems, Inc.
  • 15.3. General Electric Company
  • 15.4. Honeywell International Inc.
  • 15.5. Hitachi, Ltd.
  • 15.6. IBM Corporation
  • 15.7. Microsoft Corporation
  • 15.8. Robert Bosch GmbH
  • 15.9. SAP SE
  • 15.10. Schneider Electric SE

16. Strategic Recommendations

17. About Us & Disclaimer