市場調查報告書
商品編碼
956224

預測性維護的市場規模:組成部分,部署模型,組織規模,行業和區域預測(2020-2027)

Global Predictive Maintenance Market Size study, By Component, Deployment Model, Organization size, By Vertical and Regional Forecasts 2020-2027

出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 | 商品交期: 2-3個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

2019年,全球預測保護市場規模約為32億美元。預計該市場在預測期內(2020-2027年)將以超過25.2%的穩定速度增長。

由於對減少維護成本和停機時間的需求不斷增長,以及越來越多地使用新興技術來獲得有價值的見識,因此市場有望增長。此外,政府將預測性維護與物聯網和機器學習相集成的活動有望促進市場的增長。此外,大型公司也將重點放在產品發佈,創新,合併和收購等戰略上,以保持其在激烈競爭中的地位。但是,技術工人的短缺阻礙了市場的增長。

本報告調查了全球預測性保護市場,並提供了諸如組件,部署模式,組織規模,行業/區域市場分析,競爭狀況以及主要公司概況之類的信息。

目錄

第1章執行摘要

第2章市場定義和範圍

第3章市場動態

  • 影響分析

第4章行業分析

  • 波特的五力模型
  • PEST分析
  • 投資採用模型
  • 分析師的建議和結論

第5章市場分析:按組成部分

  • 市場概況
  • 市場表現:潛力分析
  • 市場估計/預測
  • 細分分析
    • 解決方案
    • 服務

第6章市場分析:按部署模式

  • 市場概況
  • 市場表現:潛力分析
  • 市場估計/預測
  • 細分分析
    • 內部部署

第7章市場分析:按組織規模

  • 市場概況
  • 市場表現:潛力分析
  • 市場估計/預測
  • 細分分析
    • 大公司
    • 中小企業

第8章市場分析:按行業

  • 市場概況
  • 市場表現:潛力分析
  • 市場估計/預測
  • 細分分析
    • 政府/國防
    • 製造業
    • 能源與公益事業
    • 運輸和物流
    • 醫療保健與生命科學

第9章市場分析:按地區

  • 區域市場概況
  • 北美
    • 美國
    • 加拿大
  • 歐洲快照
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 意大利
    • 其他
  • 亞太地區快照
    • 中國
    • 印度
    • 日本
    • 澳大利亞
    • 韓國
    • 其他
  • 拉丁美洲快照
    • 巴西
    • 墨西哥
  • 其他

第10章衝突信息

  • 主要市場策略
  • 公司簡介
    • IBM Corporation
    • Microsoft Corporation
    • SAP SE
    • General Electric Company
    • Schneider Electric
    • 株式會社日立製作所
    • PTC Inc.
    • Software AG
    • SAS Institute
    • Oracle Corporation

第11章 調查過程

目錄

Title:
Global Predictive Maintenance Market Size study, By Component (Solutions and services), Deployment Model (Cloud and on-premises), Organization size (Large enterprises and Small and medium-sized enterprises), By Vertical (Government and Defense, Manufacturing, Energy and Utilities, Transportation & Logistics and Healthcare and Life Sciences) and Regional Forecasts 2020-2027.

Global Predictive Maintenance Market is valued approximately USD 3.20 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 25.20 % over the forecast period 2020-2027. Predictive maintenance is a technique that helps in determining and analyzing the condition of any equipment in order to efficiently estimate the timeframe for the performance of maintenance. The effective use of the approach helps in saving time as well as maintenance cost . Also, this approach focuses on determining and predicting equipment failure. Further, the predictive maintenance is gaining acceptance due to the number of benefits such as savings on expenses related to equipment parts, production time and other associated raw material and it also helps to minimizes several issues related with quality and reliability. The growth of the market is witnessed owing to the growing need to reduce maintenance cost and downtime and increasing use of emerging technologies to gain valuable insights. Also, to integrate predictive maintenance with IoT and machine learning, government is also taking various prompt actions which is expected to drive the growth of the market. As per the International Trade Administration, Industry 4.0 initiative is mainly adopted by Germany as its main objective is to add Internet of things (IOT) to automate the manufacturing and business process and ability of devices, sensors, machines and people to integrate and communicate with each other via Internet of things (IOT). Thus, rising adoption of Internet of things (IOT) will generate the demand for IOT integrated services and solutions. Further, Industry 4.0 initiative is mainly emphasizing on the use of automated machines and use of IOT to efficiently predict failures and autonomously trigger maintenance processes. Moreover, emphasize is also on self-organized logistics that have the ability to respond to unexpected changes such as mishandling of load etc. in production. This will create lucrative growth prospects for the market. However, lack of skilled workforce is hampering the growth of this market. Further, the key players are focusing on strategies such as product launch, innovation and merger & acquisition to sustain themselves amidst fierce competition. In June 2020, PTC enhanced ThingWorx Industrial IoT platform to accelerate industrial IoT deployment across the enterprise value chain. The platform would deliver new and expanded features to help industrial companies implement, create, customize and scale their solutions.

The regional analysis of global Predictive Maintenance market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region in terms of developing and adopting predictive maintenance. Also, the rising investments in emerging technologies such as AI, IoT, ML, growing government support for regulatory compliance, and the increasing presence of predictive maintenance vendors, is expected to create positive outlook for the growth of the region. Whereas Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2027.

Major market player included in this report are:

IBM Corporation

Microsoft Corporation

SAP SE

General Electric Company

Schneider Electric

Hitachi Ltd

PTC Inc.

Software AG

SAS Institute

Oracle Corporation

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Components:

Solutions

Services

By Deployment Mode:

Cloud

On-premises

By Organization size:

Large enterprises

Small and medium-sized enterprises

By Vertical:

Government and Defence

Manufacturing

Energy and Utilities

Transportation & Logistics

Healthcare and Life Sciences

By Region:

North America

U.S.

Canada

Europe

UK

Germany

France

Spain

Italy

ROE

Asia Pacific

China

India

Japan

Australia

South Korea

RoAPAC

Latin America

Brazil

Mexico

Rest of the World

Furthermore, years considered for the study are as follows:

Historical year - 2017, 2018

Base year - 2019

Forecast period - 2020 to 2027

Target Audience of the Global Predictive Maintenance Market in Market Study:

Key Consulting Companies & Advisors

Large, medium-sized, and small enterprises

Venture capitalists

Value-Added Resellers (VARs)

Third-party knowledge providers

Investment bankers

Investors

Table of Contents

Chapter 1. Executive Summary

  • 1.1. Market Snapshot
  • 1.2. Global & Segmental Market Estimates & Forecasts, 2018-2027 (USD Billion)
    • 1.2.1. Predictive Maintenance Market, by Region, 2018-2027 (USD Billion)
    • 1.2.2. Predictive Maintenance Market, by Component, 2018-2027 (USD Billion)
    • 1.2.3. Predictive Maintenance Market, by Deployment mode, 2018-2027 (USD Billion)
    • 1.2.4. Predictive Maintenance Market, by, Organization size 2018-2027 (USD Billion)
    • 1.2.5. Predictive Maintenance Market, by, Vertical 2018-2027 (USD Billion)
  • 1.3. Key Trends
  • 1.4. Estimation Methodology
  • 1.5. Research Assumption

Chapter 2. Global Predictive Maintenance Market Definition and Scope

  • 2.1. Objective of the Study
  • 2.2. Market Definition & Scope
    • 2.2.1. Scope of the Study
    • 2.2.2. Industry Evolution
  • 2.3. Years Considered for the Study
  • 2.4. Currency Conversion Rates

Chapter 3. Global Predictive Maintenance Market Dynamics

  • 3.1. Predictive Maintenance Market Impact Analysis (2018-2027)
    • 3.1.1. Market Drivers
    • 3.1.2. Market Challenges
    • 3.1.3. Market Opportunities

Chapter 4. Global Predictive Maintenance Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model (2017-2027)
  • 4.2. PEST Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
  • 4.3. Investment Adoption Model
  • 4.4. Analyst Recommendation & Conclusion

Chapter 5. Global Predictive Maintenance Market, by Component

  • 5.1. Market Snapshot
  • 5.2. Global Predictive Maintenance Market by Component, Performance - Potential Analysis
  • 5.3. Global Predictive Maintenance Market Estimates & Forecasts by Component 2017-2027 (USD Billion)
  • 5.4. Predictive Maintenance Market, Sub Segment Analysis
    • 5.4.1. Solutions
    • 5.4.2. Services

Chapter 6. Global Predictive Maintenance Market, by Deployment Mode

  • 6.1. Market Snapshot
  • 6.2. Global Predictive Maintenance Market by Deployment Mode , Performance - Potential Analysis
  • 6.3. Global Predictive Maintenance Market Estimates & Forecasts by Deployment mode 2017-2027 (USD Billion)
  • 6.4. Predictive Maintenance Market, Sub Segment Analysis
    • 6.4.1. Cloud
    • 6.4.2. On-premises

Chapter 7. Global Predictive Maintenance Market, by Organization size

  • 7.1. Market Snapshot
  • 7.2. Global Predictive Maintenance Market by Organization size , Performance - Potential Analysis
  • 7.3. Global Predictive Maintenance Market Estimates & Forecasts by Organization size 2017-2027 (USD Billion)
  • 7.4. Predictive Maintenance Market, Sub Segment Analysis
    • 7.4.1. Large enterprises
    • 7.4.2. Small and medium-sized enterprises

Chapter 8. Global Predictive Maintenance Market, by Vertical

  • 8.1. Market Snapshot
  • 8.2. Global Predictive Maintenance Market by Vertical, Performance - Potential Analysis
  • 8.3. Global Predictive Maintenance Market Estimates & Forecasts by Vertical 2017-2027 (USD Billion)
  • 8.4. Predictive Maintenance Market, Sub Segment Analysis
    • 8.4.1. Government and Defence
    • 8.4.2. Manufacturing
    • 8.4.3. Energy and Utilities
    • 8.4.4. Transportation & Logistics
    • 8.4.5. Healthcare and Life Sciences

Chapter 9. Global Predictive Maintenance Market, Regional Analysis

  • 9.1. Predictive Maintenance Market, Regional Market Snapshot
  • 9.2. North America Predictive Maintenance Market
    • 9.2.1. U.S. Predictive Maintenance Market
      • 9.2.1.1. Component breakdown estimates & forecasts, 2017-2027
      • 9.2.1.2. Deployment mode breakdown estimates & forecasts, 2017-2027
      • 9.2.1.3. Organization size mode breakdown estimates & forecasts, 2017-2027
      • 9.2.1.4. Vertical breakdown estimates & forecasts, 2017-2027
    • 9.2.2. Canada Predictive Maintenance Market
  • 9.3. Europe Predictive Maintenance Market Snapshot
    • 9.3.1. U.K. Predictive Maintenance Market
    • 9.3.2. Germany Predictive Maintenance Market
    • 9.3.3. France Predictive Maintenance Market
    • 9.3.4. Spain Predictive Maintenance Market
    • 9.3.5. Italy Predictive Maintenance Market
    • 9.3.6. Rest of Europe Predictive Maintenance Market
  • 9.4. Asia-Pacific Predictive Maintenance Market Snapshot
    • 9.4.1. China Predictive Maintenance Market
    • 9.4.2. India Predictive Maintenance Market
    • 9.4.3. Japan Predictive Maintenance Market
    • 9.4.4. Australia Predictive Maintenance Market
    • 9.4.5. South Korea Predictive Maintenance Market
    • 9.4.6. Rest of Asia Pacific Predictive Maintenance Market
  • 9.5. Latin America Predictive Maintenance Market Snapshot
    • 9.5.1. Brazil Predictive Maintenance Market
    • 9.5.2. Mexico Predictive Maintenance Market
  • 9.6. Rest of The World Predictive Maintenance Market

Chapter 10. Competitive Intelligence

  • 10.1. Top Market Strategies
  • 10.2. Company Profiles
    • 10.2.1. IBM Corporation
      • 10.2.1.1. Key Information
      • 10.2.1.2. Overview
      • 10.2.1.3. Financial (Subject to Data Availability)
      • 10.2.1.4. Product Summary
      • 10.2.1.5. Recent Developments
    • 10.2.2. Microsoft Corporation
    • 10.2.3. SAP SE
    • 10.2.4. General Electric Company
    • 10.2.5. Schneider Electric
    • 10.2.6. Hitachi Ltd
    • 10.2.7. PTC Inc.
    • 10.2.8. Software AG
    • 10.2.9. SAS Institute
    • 10.2.10. Oracle Corporation

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes
  • 11.3. Research Assumption

LIST OF FIGURES

  • FIG 1. Global Predictive Maintenance market, research methodology
  • FIG 2. Global Predictive Maintenance market, market estimation techniques
  • FIG 3. Global market size estimates & forecast methods
  • FIG 4. Global Predictive Maintenance market, key trends 2019
  • FIG 5. Global Predictive Maintenance market, growth prospects 2020-2027
  • FIG 6. Global Predictive Maintenance market, porters 5 force model
  • FIG 7. Global Predictive Maintenance market, pest analysis
  • FIG 8. Global Predictive Maintenance market, value chain analysis
  • FIG 9. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 10. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 11. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 12. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 13. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 14. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 15. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 16. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 17. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 18. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 19. Global Predictive Maintenance market by segment, 2017 & 2027 (USD Billion)
  • FIG 20. Global Predictive Maintenance market, regional snapshot 2017 & 2027
  • FIG 21. North America Predictive Maintenance market 2017 & 2027 (USD Billion)
  • FIG 22. Europe Predictive Maintenance market 2017 & 2027 (USD Billion)
  • FIG 23. Asia Pacific Predictive Maintenance market 2017 & 2027 (USD Billion)
  • FIG 24. Latin America Predictive Maintenance market 2017 & 2027 (USD Billion)
  • FIG 25. Global Predictive Maintenance market, company market share analysis (2019)