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预测维护市场 - 全球和区域分析：按应用、按产品、按地区 - 分析和预测 (2024-2034)
市场调查报告书
商品编码
1496187

预测维护市场 - 全球和区域分析：按应用、按产品、按地区 - 分析和预测 (2024-2034)

Predictive Maintenance Market - A Global and Regional Analysis: Focus on End-use Industry, Technique, Technology, Offering, and Region - Analysis and Forecast, 2024-2034
出版日期: | 出版商: BIS Research | 英文 100 Pages | 商品交期: 1-5个工作天内

价格
简介目录

在各种因素和市场驱动因素的支持下，预测性维护市场规模正在显着成长。

在乐观的情况下，2024年市场估值为113.4亿美元，预计将以26.76%的复合年增长率扩张，到2034年达到1214.9亿美元。

主要市场统计数据
预测期 2024-2034
2024年评估 113.4亿美元
2034 年预测 1214.9亿美元
复合年增长率 26.76%

这一成长的关键驱动力是人们越来越认识到预测性维护在优化资产性能和降低各行业营运成本方面的优势。预测性维护解决方案在提高设备可靠性、最大限度地减少非计划性停机时间和最大限度地延长资产寿命方面发挥关键作用，从而提高营运和成本效率。这项需求源自于业界对主动维护策略在确保营运连续性和竞争力方面的重要性的日益认识。

此外，对数位化和工业 4.0倡议的日益关注正在推动预测性维护解决方案的采用。随着物联网感测器、巨量资料分析和云端运算技术的普及，组织正在利用预测性维护来利用即时资料洞察来识别潜在的设备故障并更有效地安排维护活动。先进分析工具和平台的可用性不断增加，进一步加速了这一趋势，这些工具和平台使组织能够从资料中获得可操作的见解并优化维护实践。

此外，强制要求资产可靠性和安全性的监管要求和行业标准正在推动预测性维护解决方案的采用。 IBM、ABB Ltd. 和艾默生电气等专门从事预测性维护的公司处于开发针对各行业特定需求的创新解决方案的前沿。这些公司在资料分析、人工智慧和机器学习方面的专业知识和领域知识在塑造全球预测性维护市场格局方面发挥关键作用。

总体而言，由于人们对其优势、数位化趋势、监管驱动因素以及技术和解决方案的进步的认识不断增强，预测性维护市场正在稳步增长。

该报告研究了全球预测性维护市场，并提供了市场概述、按应用、产品、地区和参与市场的公司概况分類的趋势。

目录

执行摘要

第一章市场：产业展望

  • 趋势：当前和未来的影响评估
  • 供应链概览
  • 研发回顾
  • 监管状况
  • 相关利益者分析
  • 全球重大事件影响分析
  • 市场动态概览

第二章 预测性维护市场（按应用）

  • 应用细分
  • 应用概述
  • 预测性维护市场（依最终用途产业）
  • 预测性维护市场（按技术）

第三章 预测性维护市场（依产品）

  • 产品细分
  • 产品概要
  • 预测性维护市场（按技术）
  • 预测性维护市场（依产品分类）

第四章 预测性维护市场（按地区）

  • 预测性维护市场（按地区）
  • 北美洲
  • 欧洲
  • 亚太地区
  • 其他地区

第五章 公司简介

  • 未来展望
  • 地理评估
    • ABB Ltd.
    • IBM Corporation
    • Schneider Electric
    • AWS
    • Google Inc.
    • Microsoft Corporation
    • Hitachi
    • SAP
    • SAS Institute
    • Software AG
    • Tibco Software
    • Oracle
    • Altair
    • Splunk
    • Emerson Electric
    • 其他主要企业

第六章调查方法

简介目录
Product Code: DT02125SA

Introduction to Predictive Maintenance Market

The predictive maintenance market is experiencing significant growth, fueled by various key factors and market drivers. In an optimistic scenario, the market is valued at $11.34 billion in 2024 and is anticipated to expand at a CAGR of 26.76% to reach $121.49 billion by 2034.

KEY MARKET STATISTICS
Forecast Period2024 - 2034
2024 Evaluation$11.34 Billion
2034 Forecast$121.49 Billion
CAGR26.76%

A primary driver for this growth is the increasing recognition of the benefits of predictive maintenance in optimizing asset performance and reducing operational costs across various industries. Predictive maintenance solutions play a crucial role in enhancing equipment reliability, minimizing unplanned downtime, and maximizing asset lifespan, leading to improved operational efficiency and cost-effectiveness. This demand arises from industries' growing understanding of the importance of proactive maintenance strategies in ensuring operational continuity and competitiveness.

Additionally, the rising emphasis on digitalization and Industry 4.0 initiatives is driving the adoption of predictive maintenance solutions. With the proliferation of IoT sensors, big data analytics, and cloud computing technologies, organizations can leverage predictive maintenance to harness real-time data insights, identify potential equipment failures, and schedule maintenance activities more efficiently. This trend is further accelerated by the increasing availability of advanced analytics tools and platforms, enabling organizations to unlock actionable insights from their data and optimize maintenance practices.

Furthermore, regulatory requirements and industry standards mandating asset reliability and safety are driving the adoption of predictive maintenance solutions. Companies specializing in predictive maintenance, such as IBM, ABB Ltd., and Emerson Electric, are at the forefront of developing innovative solutions tailored to the specific needs of different industries. Their expertise in data analytics, AI, and machine learning, coupled with their domain knowledge, are instrumental in shaping the global predictive maintenance market landscape.

Overall, the predictive maintenance market is witnessing robust growth, propelled by the growing recognition of its benefits, digitalization trends, and regulatory drivers, coupled with advancements in technology and solution offerings.

Market Segmentation:

Segmentation 1: by End-use Industry

  • Energy and Utilities
  • Manufacturing
  • Automotive and Transportation
  • Aerospace and Defense
  • Construction and Mining
  • Telecommunications
  • Others

Segmentation 2: by Technique

  • Vibration Analysis
  • Infrared Thermography
  • Acoustic Monitoring
  • Oil Analysis
  • Motor Circuit Analysis
  • Others

Segmentation 3: by Technology

  • Analytics and Data Management
  • Artificial Intelligence
  • IoT Platform
  • Sensors and Other Devices

Segmentation 4: by Offering

  • Solutions
  • Services

Segmentation 5: by Region

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

How can this report add value to an organization?

Product/Innovation Strategy: The global predictive maintenance market has been extensively segmented based on various categories, such as end-use industry, offering, technique, and technology. This can help readers get a clear overview of which segments account for the largest share and which ones are well-positioned to grow in the coming years.

Competitive Strategy: A detailed competitive benchmarking of the players operating in the global predictive maintenance market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on thorough secondary research, which includes analyzing company coverage, product portfolio, market penetration, and insights gathered from primary experts.

Some of the prominent companies in this market are:

  • ABB Ltd.
  • IBM Corporation
  • Schneider Electric
  • Microsoft Corporation
  • Hitachi
  • Oracle

Key Questions Answered in this Report:

  • What are the main factors driving the demand for Predictive Maintenance market?
  • What are the major patents filed by the companies active in the Predictive Maintenance market?
  • Who are the key players in the Predictive Maintenance market, and what are their respective market shares?
  • What partnerships or collaborations are prominent among stakeholders in the Predictive Maintenance market?
  • What are the strategies adopted by the key companies to gain a competitive edge in Predictive Maintenance market?
  • What is the futuristic outlook for the Predictive Maintenance market in terms of growth potential?
  • What is the current estimation of the Predictive Maintenance market, and what growth trajectory is projected from 2024 to 2034?
  • Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
  • Which regions demonstrate the highest adoption rates for Predictive Maintenance market, and what factors contribute to their leadership?

Table of Contents

Executive Summary

Scope and Definition

Market/Product Definition

Key Questions Answered

Analysis and Forecast Note

1. Markets: Industry Outlook

  • 1.1 Trends: Current and Future Impact Assessment
  • 1.2 Supply Chain Overview
    • 1.2.1 Value Chain Analysis
    • 1.2.2 Pricing Forecast
  • 1.3 R&D Review
    • 1.3.1 Patent Filing Trend by Country, by Company
  • 1.4 Regulatory Landscape
  • 1.5 Stakeholder Analysis
    • 1.5.1 Use Case
    • 1.5.2 End User and Buying Criteria
  • 1.6 Impact Analysis for Key Global Events
  • 1.7 Market Dynamics Overview
    • 1.7.1 Market Drivers
    • 1.7.2 Market Restraints
    • 1.7.3 Market Opportunities

2. Predictive Maintenance Market (by Application)

  • 2.1 Application Segmentation
  • 2.2 Application Summary
  • 2.3 Predictive Maintenance Market (by End-use Industry)
    • 2.3.1 Energy and Utilities
    • 2.3.2 Manufacturing
    • 2.3.3 Automotive and Transportation
    • 2.3.4 Aerospace and Defence
    • 2.3.5 Construction and Mining
    • 2.3.6 Telecommunications
    • 2.3.7 Others
  • 2.4 Predictive Maintenance Market (by Technique)
    • 2.4.1 Vibration Analysis
    • 2.4.2 Infrared Thermography
    • 2.4.3 Acoustic Monitoring
    • 2.4.4 Oil Analysis
    • 2.4.5 Motor Circuit Analysis
    • 2.4.6 Others

3. Predictive Maintenance Market (by Products)

  • 3.1 Product Segmentation
  • 3.2 Product Summary
  • 3.3 Predictive Maintenance Market (by Technology)
    • 3.3.1 Analytics and Data Management
    • 3.3.2 Artificial Intelligence
    • 3.3.3 IoT Platform
    • 3.3.4 Sensors and Other Devices
  • 3.4 Predictive Maintenance Market (by Offering)
    • 3.4.1 Solutions
    • 3.4.2 Services

4. Predictive Maintenance Market (by Region)

  • 4.1 Predictive Maintenance Market (by Region)
  • 4.2 North America
    • 4.2.1 Regional Overview
    • 4.2.2 Driving Factors for Market Growth
    • 4.2.3 Factors Challenging the Market
    • 4.2.4 Application
    • 4.2.5 Product
    • 4.2.6 U.S.
      • 4.2.6.1 Market by Application
      • 4.2.6.2 Market by Product
    • 4.2.7 Canada
      • 4.2.7.1 Market by Application
      • 4.2.7.2 Market by Product
    • 4.2.8 Mexico
      • 4.2.8.1 Market by Application
      • 4.2.8.2 Market by Product
  • 4.3 Europe
    • 4.3.1 Regional Overview
    • 4.3.2 Driving Factors for Market Growth
    • 4.3.3 Factors Challenging the Market
    • 4.3.4 Application
    • 4.3.5 Product
    • 4.3.6 Germany
      • 4.3.6.1 Market by Application
      • 4.3.6.2 Market by Product
    • 4.3.7 France
      • 4.3.7.1 Market by Application
      • 4.3.7.2 Market by Product
    • 4.3.8 U.K.
      • 4.3.8.1 Market by Application
      • 4.3.8.2 Market by Product
    • 4.3.9 Italy
      • 4.3.9.1 Market by Application
      • 4.3.9.2 Market by Product
    • 4.3.10 Rest-of-Europe
      • 4.3.10.1 Market by Application
      • 4.3.10.2 Market by Product
  • 4.4 Asia-Pacific
    • 4.4.1 Regional Overview
    • 4.4.2 Driving Factors for Market Growth
    • 4.4.3 Factors Challenging the Market
    • 4.4.4 Application
    • 4.4.5 Product
    • 4.4.6 China
      • 4.4.6.1 Market by Application
      • 4.4.6.2 Market by Product
    • 4.4.7 Japan
      • 4.4.7.1 Market by Application
      • 4.4.7.2 Market by Product
    • 4.4.8 India
      • 4.4.8.1 Market by Application
      • 4.4.8.2 Market by Product
    • 4.4.9 South Korea
      • 4.4.9.1 Market by Application
      • 4.4.9.2 Market by Product
    • 4.4.10 Rest-of-Asia-Pacific
      • 4.4.10.1 Market by Application
      • 4.4.10.2 Market by Product
  • 4.5 Rest-of-the-World
    • 4.5.1 Regional Overview
    • 4.5.2 Driving Factors for Market Growth
    • 4.5.3 Factors Challenging the Market
    • 4.5.4 Application
    • 4.5.5 Product
    • 4.5.6 South America
      • 4.5.6.1 Market by Application
      • 4.5.6.2 Market by Product
    • 4.5.7 Middle East and Africa
      • 4.5.7.1 Market by Application
      • 4.5.7.2 Market by Product

5. Companies Profiled

  • 5.1 Next Frontiers
  • 5.2 Geographic Assessment
    • 5.2.1 ABB Ltd.
      • 5.2.1.1 Overview
      • 5.2.1.2 Top Products/Product Portfolio
      • 5.2.1.3 Top Competitors
      • 5.2.1.4 Target Customers
      • 5.2.1.5 Key Personnel
      • 5.2.1.6 Analyst View
      • 5.2.1.7 Market Share
    • 5.2.2 IBM Corporation
      • 5.2.2.1 Overview
      • 5.2.2.2 Top Products/Product Portfolio
      • 5.2.2.3 Top Competitors
      • 5.2.2.4 Target Customers
      • 5.2.2.5 Key Personnel
      • 5.2.2.6 Analyst View
      • 5.2.2.7 Market Share
    • 5.2.3 Schneider Electric
      • 5.2.3.1 Overview
      • 5.2.3.2 Top Products/Product Portfolio
      • 5.2.3.3 Top Competitors
      • 5.2.3.4 Target Customers
      • 5.2.3.5 Key Personnel
      • 5.2.3.6 Analyst View
      • 5.2.3.7 Market Share
    • 5.2.4 AWS
      • 5.2.4.1 Overview
      • 5.2.4.2 Top Products/Product Portfolio
      • 5.2.4.3 Top Competitors
      • 5.2.4.4 Target Customers
      • 5.2.4.5 Key Personnel
      • 5.2.4.6 Analyst View
      • 5.2.4.7 Market Share
    • 5.2.5 Google Inc.
      • 5.2.5.1 Overview
      • 5.2.5.2 Top Products/Product Portfolio
      • 5.2.5.3 Top Competitors
      • 5.2.5.4 Target Customers
      • 5.2.5.5 Key Personnel
      • 5.2.5.6 Analyst View
      • 5.2.5.7 Market Share
    • 5.2.6 Microsoft Corporation
      • 5.2.6.1 Overview
      • 5.2.6.2 Top Products/Product Portfolio
      • 5.2.6.3 Top Competitors
      • 5.2.6.4 Target Customers
      • 5.2.6.5 Key Personnel
      • 5.2.6.6 Analyst View
      • 5.2.6.7 Market Share
    • 5.2.7 Hitachi
      • 5.2.7.1 Overview
      • 5.2.7.2 Top Products/Product Portfolio
      • 5.2.7.3 Top Competitors
      • 5.2.7.4 Target Customers
      • 5.2.7.5 Key Personnel
      • 5.2.7.6 Analyst View
      • 5.2.7.7 Market Share
    • 5.2.8 SAP
      • 5.2.8.1 Overview
      • 5.2.8.2 Top Products/Product Portfolio
      • 5.2.8.3 Top Competitors
      • 5.2.8.4 Target Customers
      • 5.2.8.5 Key Personnel
      • 5.2.8.6 Analyst View
      • 5.2.8.7 Market Share
    • 5.2.9 SAS Institute
      • 5.2.9.1 Overview
      • 5.2.9.2 Top Products/Product Portfolio
      • 5.2.9.3 Top Competitors
      • 5.2.9.4 Target Customers
      • 5.2.9.5 Key Personnel
      • 5.2.9.6 Analyst View
      • 5.2.9.7 Market Share
    • 5.2.10 Software AG
      • 5.2.10.1 Overview
      • 5.2.10.2 Top Products/Product Portfolio
      • 5.2.10.3 Top Competitors
      • 5.2.10.4 Target Customers
      • 5.2.10.5 Key Personnel
      • 5.2.10.6 Analyst View
      • 5.2.10.7 Market Share
    • 5.2.11 Tibco Software
      • 5.2.11.1 Overview
      • 5.2.11.2 Top Products/Product Portfolio
      • 5.2.11.3 Top Competitors
      • 5.2.11.4 Target Customers
      • 5.2.11.5 Key Personnel
      • 5.2.11.6 Analyst View
      • 5.2.11.7 Market Share
    • 5.2.12 Oracle
      • 5.2.12.1 Overview
      • 5.2.12.2 Top Products/Product Portfolio
      • 5.2.12.3 Top Competitors
      • 5.2.12.4 Target Customers
      • 5.2.12.5 Key Personnel
      • 5.2.12.6 Analyst View
      • 5.2.12.7 Market Share
    • 5.2.13 Altair
      • 5.2.13.1 Overview
      • 5.2.13.2 Top Products/Product Portfolio
      • 5.2.13.3 Top Competitors
      • 5.2.13.4 Target Customers
      • 5.2.13.5 Key Personnel
      • 5.2.13.6 Analyst View
      • 5.2.13.7 Market Share
    • 5.2.14 Splunk
      • 5.2.14.1 Overview
      • 5.2.14.2 Top Products/Product Portfolio
      • 5.2.14.3 Top Competitors
      • 5.2.14.4 Target Customers
      • 5.2.14.5 Key Personnel
      • 5.2.14.6 Analyst View
      • 5.2.14.7 Market Share
    • 5.2.15 Emerson Electric
      • 5.2.15.1 Overview
      • 5.2.15.2 Top Products/Product Portfolio
      • 5.2.15.3 Top Competitors
      • 5.2.15.4 Target Customers
      • 5.2.15.5 Key Personnel
      • 5.2.15.6 Analyst View
      • 5.2.15.7 Market Share
    • 5.2.16 Other Key Companies

6. Research Methodology