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市場調查報告書
商品編碼
1538205

預測性維護 (PdM) 市場報告：2030 年趨勢、預測與競爭分析

Predictive Maintenance Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

預測性維護 (PdM) 趨勢和預測

到 2030 年，全球預測性維護 (PdM) 市場預計將達到 121 億美元，2024 年至 2030 年複合年成長率為 18.4%。該市場的主要驅動力是人們對人工智慧預測解決方案的日益偏好、工業 4.0 的出現，以及汽車、航太、能源和製造等行業對即時監控和分析的需求不斷成長。全球預測維護 (PdM) 市場的未來前景廣闊，政府和國防、製造、能源和公共事業、運輸和物流、醫療保健和生命科學市場都充滿機會。

按細分市場進行預測性維護 (PdM)

該研究包括按組件、部署模式、組織規模、最終用途和區域對全球預測維護 (PdM) 的預測。

預測性維護 (PdM) 市場洞察

Lucintel 預計服務在預測期內將經歷更高的成長。

在這個市場中，醫療保健和生命科學預計將在預測期內實現最高成長。

在預測期內，北美仍將是最大的地區。

常問問題

Q1.市場規模為：

A1. 到 2030 年，全球預測維護 (PdM) 市場預計將達到 121 億美元。

Q2.市場成長預測是多少：

A2. 2024 年至 2030 年，全球預測維護 (PdM) 市場預計將以 18.4% 的複合年成長率成長。

Q3.影響市場成長的主要促進因素是：

A3. 該市場的主要驅動力是對人工智慧預測解決方案的日益偏好、工業 4.0 的出現，以及汽車、航太、能源和製造等行業對即時監控和分析的需求不斷成長。

Q4.市場的主要細分市場是：

A4. 預測性維護 (PdM) 市場的未來充滿希望，在政府和國防、製造、能源和公共事業、運輸和物流以及醫療保健和生命科學市場中存在機會。

Q5.市場的主要企業是：

A5.主要企業如下：

  • Microsoft
  • IBM
  • SAP
  • SAS Institute
  • Software
  • TIBCO Software
  • HPE
  • Altair
  • Splunk
  • Oracle

Q6.未來最大的細分市場是什麼？

A6.Lucintel 預計其服務在預測期內將經歷更高的成長。

Q7. 未來五年預計哪些地區的市場成長最大？

A7. 預計北美在預測期內仍將是最大的地區。

Q8. 可以客製化報告嗎？

A8. 是的，Lucintel 提供 10% 的客製化服務，無需額外付費。

目錄

第1章執行摘要

第2章全球預測維護 (PdM) 市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球預測性維護 (PdM) 市場趨勢 (2018-2023) 和預測 (2024-2030)
  • 全球預測維護 (PdM) 市場：按組成部分
    • 解決方案
    • 服務
  • 全球預測維護 (PdM) 市場：按部署模式
    • 本地
    • 雲
  • 全球預測維護 (PdM) 市場：按組織規模分類
    • 主要企業
    • 小型企業
  • 全球預測維護 (PdM) 市場：按最終用途分類
    • 政府/國防
    • 製造業
    • 能源/公共事業
    • 運輸/物流
    • 醫療保健/生命科學
    • 其他

第4章 2018-2030年區域市場趨勢及預測分析

  • 按地區分類的全球預測維護 (PdM) 市場
  • 北美預測維護 (PdM) 市場
  • 歐洲預測性維護 (PdM) 市場
  • 亞太地區預測維護 (PdM) 市場
  • 其他地區的預測性維護（PdM）市場

第5章 競爭分析

  • 產品系列分析
  • 業務整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
  • 全球預測性維護 (PdM) 市場的新興趨勢
  • 戰略分析
    • 新產品開發
    • 全球預測維護 (PdM) 市場的產能擴張
    • 全球預測維護 (PdM) 市場的合併、收購和合資企業
    • 認證和許可

第7章主要企業概況

  • Microsoft
  • IBM
  • SAP
  • SAS Institute
  • Software
  • TIBCO Software
  • HPE
  • Altair
  • Splunk
  • Oracle
簡介目錄

Predictive Maintenance Trends and Forecast

The future of the global predictive maintenance market looks promising with opportunities in the government & defense, manufacturing, energy & utility, transportation & logistic, and healthcare & life science markets. The global predictive maintenance market is expected to reach an estimated $12.1 billion by 2030 with a CAGR of 18.4% from 2024 to 2030. The major drivers for this market are increasing preference for AI-enabled predictive solutions, emergence of industry 4.0, and rising demand for real-time monitoring and analysis among industries, such as automotive, aerospace, energy, and manufacturing.

A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

Predictive Maintenance by Segment

The study includes a forecast for the global predictive maintenance by component, deployment mode, organization size, end use, and region.

Predictive Maintenance Market by Component [Shipment Analysis by Value from 2018 to 2030]:

  • Solutions
  • Service

Predictive Maintenance Market by Deployment Mode [Shipment Analysis by Value from 2018 to 2030]:

  • On-Premises
  • Cloud

Predictive Maintenance Market by Organization Size [Shipment Analysis by Value from 2018 to 2030]:

  • Large Enterprises
  • Small & Medium-Sized Enterprise

Predictive Maintenance Market by End Use [Shipment Analysis by Value from 2018 to 2030]:

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

Predictive Maintenance Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Predictive Maintenance Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies predictive maintenance companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the predictive maintenance companies profiled in this report include-

  • Microsoft
  • IBM
  • SAP
  • SAS Institute
  • Software
  • TIBCO Software
  • HPE
  • Altair
  • Splunk
  • Oracle

Predictive Maintenance Market Insights

Lucintel forecasts that service is expected to witness higher growth over the forecast period.

Within this market, healthcare & life sciences is expected to witness the highest growth over the forecast period.

North America will remain the largest region over the forecast period.

Features of the Global Predictive Maintenance Market

Market Size Estimates: Predictive maintenance market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Predictive maintenance market size by various segments, such as by component, deployment mode, organization size, end use, and region in terms of value ($B).

Regional Analysis: Predictive maintenance market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different components, deployment modes, organization sizes, end uses, and regions for the predictive maintenance market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the predictive maintenance market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the predictive maintenance market size?

Answer: The global predictive maintenance market is expected to reach an estimated $12.1 billion by 2030.

Q2. What is the growth forecast for predictive maintenance market?

Answer: The global predictive maintenance market is expected to grow with a CAGR of 18.4% from 2024 to 2030.

Q3. What are the major drivers influencing the growth of the predictive maintenance market?

Answer: The major drivers for this market are increasing preference for AI-enabled predictive solutions, emergence of industry 4.0, and rising demand for real-time monitoring and analysis among industries, such as automotive, aerospace, energy, and manufacturing.

Q4. What are the major segments for predictive maintenance market?

Answer: The future of the predictive maintenance market looks promising with opportunities in the government & defense, manufacturing, energy & utility, transportation & logistic, and healthcare & life science markets.

Q5. Who are the key predictive maintenance market companies?

Answer: Some of the key predictive maintenance companies are as follows:

  • Microsoft
  • IBM
  • SAP
  • SAS Institute
  • Software
  • TIBCO Software
  • HPE
  • Altair
  • Splunk
  • Oracle

Q6. Which predictive maintenance market segment will be the largest in future?

Answer: Lucintel forecasts that service is expected to witness higher growth over the forecast period.

Q7. In predictive maintenance market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the predictive maintenance market by component (solutions and service), deployment mode (on-premises and cloud), organization size (large enterprises and small & medium-sized enterprise), end use (government & defense, manufacturing, energy & utilities, transportation & logistics, healthcare & life sciences, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Predictive Maintenance Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Predictive Maintenance Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Predictive Maintenance Market by Component
    • 3.3.1: Solutions
    • 3.3.2: Service
  • 3.4: Global Predictive Maintenance Market by Deployment Mode
    • 3.4.1: On-Premises
    • 3.4.2: Cloud
  • 3.5: Global Predictive Maintenance Market by Organization Size
    • 3.5.1: Large Enterprises
    • 3.5.2: Small & Medium-Sized Enterprise
  • 3.6: Global Predictive Maintenance Market by End Use
    • 3.6.1: Government & Defense
    • 3.6.2: Manufacturing
    • 3.6.3: Energy & Utilities
    • 3.6.4: Transportation & Logistics
    • 3.6.5: Healthcare & Life Sciences
    • 3.6.6: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Predictive Maintenance Market by Region
  • 4.2: North American Predictive Maintenance Market
    • 4.2.1: North American Predictive Maintenance Market by Component: Solutions and Service
    • 4.2.2: North American Predictive Maintenance Market by End Use: Government & Defense, Manufacturing, Energy & Utilities, Transportation & Logistics, Healthcare & Life Sciences, and Others
  • 4.3: European Predictive Maintenance Market
    • 4.3.1: European Predictive Maintenance Market by Component: Solutions and Service
    • 4.3.2: European Predictive Maintenance Market by End Use: Government & Defense, Manufacturing, Energy & Utilities, Transportation & Logistics, Healthcare & Life Sciences, and Others
  • 4.4: APAC Predictive Maintenance Market
    • 4.4.1: APAC Predictive Maintenance Market by Component: Solutions and Service
    • 4.4.2: APAC Predictive Maintenance Market by End Use: Government & Defense, Manufacturing, Energy & Utilities, Transportation & Logistics, Healthcare & Life Sciences, and Others
  • 4.5: ROW Predictive Maintenance Market
    • 4.5.1: ROW Predictive Maintenance Market by Component: Solutions and Service
    • 4.5.2: ROW Predictive Maintenance Market by End Use: Government & Defense, Manufacturing, Energy & Utilities, Transportation & Logistics, Healthcare & Life Sciences, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Predictive Maintenance Market by Component
    • 6.1.2: Growth Opportunities for the Global Predictive Maintenance Market by Deployment Mode
    • 6.1.3: Growth Opportunities for the Global Predictive Maintenance Market by Organization Size
    • 6.1.4: Growth Opportunities for the Global Predictive Maintenance Market by End Use
    • 6.1.5: Growth Opportunities for the Global Predictive Maintenance Market by Region
  • 6.2: Emerging Trends in the Global Predictive Maintenance Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Predictive Maintenance Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Predictive Maintenance Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Microsoft
  • 7.2: IBM
  • 7.3: SAP
  • 7.4: SAS Institute
  • 7.5: Software
  • 7.6: TIBCO Software
  • 7.7: HPE
  • 7.8: Altair
  • 7.9: Splunk
  • 7.10: Oracle