预测性维护市场增长、规模、份额、趋势、关键参与者分析和预测至 2031 年

  • Report Code : TIPRE00007686
  • Category : Technology, Media and Telecommunications
  • No. of Pages : 150
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预测性维护市场规模预计将从 2023 年的 67.6 亿美元增至 2031 年的 598.1 亿美元。预计 2023-2031 年期间的复合年增长率为 27.4%。投资预测性维护解决方案以降低成本和停机时间可能仍是市场的主要趋势。

 

预测性维护市场分析

 

近几十年来,降低日益昂贵的能源成本和向可持续未来转变的需求日益高涨,使得能源审计变得非常重要。由于能源支出是工业界关注的一大问题,因此企业不断检查能源消耗,并努力将其降至最低。

 

预测性维护市场概况

 

预测性维护通过融合物联网传感器、人工智能和数据科学来提高设备性能。它需要采用基于云的技术来监控和估计基于资产状态的维护需求,以及识别可能导致意外故障的异常情况。因此,制造商可以通过预测设备维护需求来节省成本并增加正常运行时间,从而获得巨大收益。实时监控工业资产的核心方法是基于条件的监控。先进的 IIoT 传感器记录复杂的机器健康数据,例如振动、声学、温度和 RPM 等。然后对收集的数据进行评估,以识别资产性能的任何差异或传统设备难以检测到的问题。

 

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预测性维护市场:

Predictive Maintenance Market
  • 获取此报告的关键市场趋势。
    这个免费样品将包括数据分析,从市场趋势到估计和预测。

 

 

预测性维护市场驱动因素和机遇

 

 

最大限度地减少维护成本和停机时间以利于市场

 

现在,组织越来越希望减少维护费用、设备故障和停机时间。预测性维护是解决这些困难的绝佳方法。预测性维护系统使用数据分析和机器学习来识别设备中可能出现的缺陷,从而实现主动维护干预。提前预测设备故障可让公司在计划停机期间安排维修,从而减少运营中断并最大限度地延长设备正常运行时间。

 

使用基于人工智能和机器学习的预测性维护

 

基于人工智能的预测性维护在制造业中有着广泛的应用。它采用强大的机器学习算法来评估生产过程中收集的大量数据,为实现卓越制造提供关键见解。此外,机器学习算法利用大量历史数据来模拟各种情况,并预测何时会出现什么问题。先进的人工智能算法可以识别机器的典型数据行为,并将其用作实时检测和警告变化的基准。

 

预测性维护市场报告细分分析

 

有助于得出预测性维护市场分析的关键部分是组件、部署类型、技术和行业。

  • 根据组件,市场按解决方案和服务进行细分。解决方案部门在 2023 年占据了相当大的市场份额。
  • 根据部署类型,市场分为云和本地。云部分在 2023 年占据了最大的市场份额。
  • 根据技术,市场细分为振动监测、电气测试、油分析、超声波泄漏检测器、冲击脉冲、红外线等。振动监测部分在 2023 年占据了最大的市场份额。
  • 根据行业,市场分为制造业、能源和公用事业、航空航天和国防、运输和物流、石油和天然气等。制造业在 2023 年占据了最大的市场份额。

 

预测性维护市场份额(按地区)分析

 

预测性维护市场报告的地理范围主要分为五个地区:北美、亚太、欧洲、中东和非洲、南美和中美。

2023 年,北美占据了市场主导地位。机器学习 (ML)、声学监测、人工智能 (AI) 和物联网 (IoT) 等现代技术的使用,以及客户渠道的扩展和对资产维护和运营费用日益增长的担忧,都促进了增长。此外,消费电子产品和 M2M 应用中采用物联网连接设备、汽车行业对联网汽车的需求不断增长以及对创新消费电子产品日益增长的需求正在推动市场扩张。

 

 

预测性维护市场区域洞察

Insight Partners 的分析师已详细解释了预测期内影响预测性维护市场的区域趋势和因素。本节还讨论了北美、欧洲、亚太地区、中东和非洲以及南美和中美洲的预测性维护市场细分和地理位置。

Predictive Maintenance Market
  • 获取预测性维护市场的区域特定数据

预测性维护市场报告范围

报告属性细节
2023 年的市场规模67.6亿美元
2031 年市场规模598.1亿美元
全球复合年增长率(2023 - 2031)27.4%
史料2021-2022
预测期2024-2031
涵盖的领域按组件
  • 解决方案和服务
按部署类型
  • 云端和本地
按技术分类
  • 振动监测
  • 电气测试
  • 油品分析
  • 超声波泄漏检测仪
  • 冲击脉冲
  • 红外线的
按行业
  • 制造业
  • 能源与公用事业
  • 航空航天和国防
  • 运输与物流
  • 石油和天然气
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  • 通用电气公司日立有限公司
  • IBM 公司
  • 微软公司
  • PTC公司
  • SAS 研究所
  • 施耐德电气
  • 软件公司
  • 同步器公司

市场参与者密度:了解其对商业动态的影响

预测性维护市场正在快速增长,这得益于最终用户需求的不断增长,而这些需求又源于消费者偏好的不断变化、技术进步以及对产品优势的认识不断提高等因素。随着需求的增加,企业正在扩大其产品范围,进行创新以满足消费者的需求,并利用新兴趋势,从而进一步推动市场增长。

市场参与者密度是指在特定市场或行业内运营的企业或公司的分布情况。它表明相对于给定市场空间的规模或总市场价值,有多少竞争对手(市场参与者)存在于该市场空间中。

预测性维护市场的主要运营公司有:

  1. 通用电气公司日立有限公司
  2. IBM 公司
  3. 微软公司
  4. PTC公司
  5. SAS 研究所
  6. 施耐德电气

免责声明上面列出的公司没有按照任何特定顺序排列。


Predictive Maintenance Market

 

  • 获取预测性维护市场顶级关键参与者概览

 

 

预测性维护市场新闻和最新发展

 

预测性维护市场通过收集一手和二手研究后的定性和定量数据进行评估,其中包括重要的公司出版物、协会数据和数据库。预测性维护市场的一些发展如下所列:

  • 埃森哲公司收购了亚马逊网络服务 (AWS) 高级合作伙伴 Nextira,该公司使用 AWS 服务为客户提供预测分析、云原生创新和沉浸式体验。这些 AWS 服务和解决方案使 Accenture Cloud First 能够提高其技术技能,同时还为客户提供全面的云功能。Nextira 提供基于云的服务,利用尖端的人工智能、机器学习、工程专业知识和数据分析来帮助用户构建、设计、启动和优化高性能计算环境。(来源:埃森哲公司,新闻稿,2023 年 6 月)
  • GE Vernova 的天然气发电业务宣布已签署一份多年期协议,将在科威特艾哈迈迪建设一座 876 兆瓦 (MW) 的发电厂。这份多年期协议包括提供零件、维修、现场服务、高级预测性维护和数字解决方案。(来源:GE Vernova,新闻稿,2023 年 12 月)

 

预测性维护市场报告范围和交付成果

 

“预测性维护市场规模和预测(2021-2031)”报告对以下领域进行了详细的市场分析:

  • 预测性维护市场规模以及范围涵盖的所有关键细分市场的全球、区域和国家层面的预测
  • 预测性维护市场趋势以及市场动态,如驱动因素、限制因素和关键机遇
  • 详细的 PEST/波特五力分析和 SWOT 分析
  • 预测性维护市场分析涵盖主要市场趋势、全球和区域框架、主要参与者、法规和最新市场发展
  • 行业格局和竞争分析,涵盖市场集中度、热图分析、知名参与者以及超导市场的最新发展
  • 详细的公司简介
  • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
  • PEST and SWOT Analysis
  • Market Size Value / Volume - Global, Regional, Country
  • Industry and Competitive Landscape
  • Excel Dataset
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What are the driving factors impacting the predictive maintenance market?

The high demand to reduce increasingly expensive energy costs and shift toward a sustainable future is driving the market.

Which region dominated the Predictive maintenance market in 2023?

North America dominated the predictive maintenance market in 2023.

What are the future trends of the predictive maintenance market?

The investment in predictive maintenance solutions to reduce costs and downtime is likely to remain a key trend in the market.

Which are the leading players operating in the Predictive Maintenance market?

General Electric Co., Hitachi Ltd., IBM Corporation, Microsoft Corporation, and PTC, Inc. are among the leading players in the predictive maintenance market.

What would be the estimated value of the predictive maintenance market by 2031?

The estimated value of the Predictive Maintenance market is expected to reach US$ 59.81 billion by 2031.

What is the expected CAGR of the predictive maintenance market?

The market is expected to grow at a CAGR of 27.4% over the forecast period.

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The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.