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市场调查报告书
商品编码
1538205

预测性维护 (PdM) 市场报告：2030 年趋势、预测与竞争分析

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个工作天内

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简介目录

预测性维护 (PdM) 趋势和预测

到 2030 年，全球预测性维护 (PdM) 市场预计将达到 121 亿美元，2024 年至 2030 年复合年增长率为 18.4%。该市场的主要驱动力是人们对人工智慧预测解决方案的日益偏好、工业 4.0 的出现，以及汽车、航太、能源和製造等行业对即时监控和分析的需求不断增长。全球预测维护 (PdM) 市场的未来前景广阔，政府和国防、製造、能源和公共事业、运输和物流、医疗保健和生命科学市场都充满机会。

按细分市场进行预测性维护 (PdM)

该研究包括按组件、部署模式、组织规模、最终用途和区域对全球预测维护 (PdM) 的预测。

预测性维护 (PdM) 市场洞察

Lucintel 预计服务在预测期内将经历更高的成长。

在这个市场中，医疗保健和生命科学预计将在预测期内实现最高成长。

在预测期内，北美仍将是最大的地区。

常问问题

Q1.市场规模为：

A1. 到 2030 年，全球预测维护 (PdM) 市场预计将达到 121 亿美元。

Q2.市场成长预测是多少：

A2. 2024 年至 2030 年，全球预测维护 (PdM) 市场预计将以 18.4% 的复合年增长率成长。

Q3.影响市场成长的主要驱动因素是：

A3. 该市场的主要驱动力是对人工智慧预测解决方案的日益偏好、工业 4.0 的出现，以及汽车、航太、能源和製造等行业对即时监控和分析的需求不断增长。

Q4.市场的主要细分市场是：

A4. 预测性维护 (PdM) 市场的未来充满希望，在政府和国防、製造、能源和公共事业、运输和物流以及医疗保健和生命科学市场中存在机会。

Q5.市场的主要企业是：

A5.主要企业如下：

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

Q6.未来最大的细分市场是什么？

A6.Lucintel 预计其服务在预测期内将经历更高的成长。

Q7. 未来五年预计哪些地区的市场成长最大？

A7. 预计北美在预测期内仍将是最大的地区。

Q8. 可以客製化报告吗？

A8. 是的，Lucintel 提供 10% 的客製化服务，无需额外付费。

目录

第一章执行摘要

第二章全球预测维护 (PdM) 市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球预测性维护 (PdM) 市场趋势 (2018-2023) 和预测 (2024-2030)
  • 全球预测维护 (PdM) 市场：按组成部分
    • 解决方案
    • 服务
  • 全球预测维护 (PdM) 市场：按部署模式
    • 本地
    • 云
  • 全球预测维护 (PdM) 市场：按组织规模划分
    • 大公司
    • 小型企业
  • 全球预测维护 (PdM) 市场：按最终用途分类
    • 政府/国防
    • 製造业
    • 能源/公共事业
    • 运输/物流
    • 医疗保健/生命科学
    • 其他的

第四章 2018-2030年区域市场趋势及预测分析

  • 按地区分類的全球预测维护 (PdM) 市场
  • 北美预测维护 (PdM) 市场
  • 欧洲预测性维护 (PdM) 市场
  • 亚太地区预测维护 (PdM) 市场
  • 其他地区的预测性维护（PdM）市场

第五章 竞争分析

  • 产品系列分析
  • 业务整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
  • 全球预测性维护 (PdM) 市场的新兴趋势
  • 战略分析
    • 新产品开发
    • 全球预测维护 (PdM) 市场的产能扩张
    • 全球预测维护 (PdM) 市场的合併、收购和合资企业
    • 认证和许可

第七章主要企业概况

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

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