Predictive Maintenance Market - A Global and Regional Analysis: Focus on End-use Industry, Technique, Technology, Offering, and Region - Analysis and Forecast, 2024-2034
예지보전 시장 규모는 다양한 요인과 시장촉진요인에 힘입어 크게 성장하고 있습니다.
낙관적 시나리오에서 시장은 2024년에 113억 4,000만 달러로 평가되었으며, 2034년까지 26.76%의 연평균 복합 성장률(CAGR)로 확대되어 1,214억 9,000만 달러에 이를 것으로 예상됩니다.
| 주요 시장 통계 |
| 예측 기간 |
2024-2034년 |
| 2024년 평가 |
113억 4,000만 달러 |
| 2034년 예측 |
1,214억 9,000만 달러 |
| CAGR |
26.76% |
이러한 성장의 주요 원동력은 다양한 산업에서 자산 성능 최적화 및 운영 비용 절감에 대한 예지 보전의 이점이 점점 인식되고 있다는 것입니다. 예측 유지보수 솔루션은 장비 신뢰성 향상, 계획 밖의 가동 중지 시간 최소화, 자산 수명 극대화에 중요한 역할을 하며 운영 효율성과 비용 효율성을 높일 수 있습니다. 이 수요는 운영의 지속성과 경쟁력을 확보하는 데 있어 사전에 능동적인 유지보수 전략의 중요성에 대한 업계의 이해가 높아지고 있기 때문입니다.
또한 디지털화와 Industry 4.0 이니셔티브에 대한 중점이 커지면서 예지보전 솔루션의 채용이 진행되고 있습니다. IoT 센서, 빅데이터 분석, 클라우드 컴퓨팅 기술의 보급으로 조직은 예지 보전을 활용하여 실시간 데이터 통찰력을 활용하고, 잠재적인 장비 고장을 파악하고, 유지보수 활동을 보다 효율적으로 일정 수 있습니다. 이러한 추세는 고급 분석 도구와 플랫폼의 가용성이 높아짐에 따라 더욱 가속화되며, 조직은 데이터에서 실용적인 통찰력을 끌어내고 유지보수 사례를 최적화할 수 있습니다.
또한 자산의 신뢰성과 안전성을 의무화하는 규제 요건과 업계 표준이 예지 보전 솔루션의 채택을 촉진하고 있습니다. IBM, ABB Ltd., Emerson Electric 등의 예지보전을 전문으로 하는 기업은 다양한 산업의 특정 요구에 맞는 혁신적인 솔루션 개발의 최전선에 서 있습니다. 데이터 분석, 인공지능, 머신러닝에 관한 이러한 기업의 전문 지식과 도메인 지식은 세계의 예지 보전 시장 상황을 형성하는데 중요한 역할을 합니다.
전반적으로, 예지보전시장은 그 장점, 디지털화 동향, 규제 촉진요인의 인식 증가와 기술과 솔루션 제공의 진보에 의해 견조한 성장을 이루고 있습니다.
본 보고서에서는 세계의 예지보전시장에 대해 조사했으며, 시장 개요와 함께 용도별, 제품별, 지역별 동향, 시장 진출기업 프로파일 등의 정보를 제공합니다.
목차
주요 요약
제1장 시장 : 업계 전망
- 동향 : 현재 및 미래의 영향 평가
- 공급망 개요
- R&D 리뷰
- 규제 상황
- 이해관계자 분석
- 주요 세계 이벤트의 영향 분석
- 시장 역학 개요
제2장 예지 보전 시장(용도별)
- 용도의 세분화
- 용도 개요
- 예지보전시장(최종 이용 산업별)
- 예지보전시장(기술별)
제3장 예지 보전 시장(제품별)
- 제품 세분화
- 제품 개요
- 예지보전시장(기술별)
- 예지보전시장(제공 제품별)
제4장 예지 보전 시장(지역별)
- 예지보전시장(지역별)
- 북미
- 유럽
- 아시아태평양
- 기타 지역
제5장 기업 프로파일
- 향후 전망
- 지리적 평가
- ABB Ltd.
- IBM Corporation
- Schneider Electric
- AWS
- Google Inc.
- Microsoft Corporation
- Hitachi
- SAP
- SAS Institute
- Software AG
- Tibco Software
- Oracle
- Altair
- Splunk
- Emerson Electric
- 기타 주요 기업
제6장 조사 방법
JHS
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 Period | 2024 - 2034 |
| 2024 Evaluation | $11.34 Billion |
| 2034 Forecast | $121.49 Billion |
| CAGR | 26.76% |
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
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
