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한글목차
예지보전 시장 규모는 향후 수년간 비약적인 성장이 전망됩니다. 2029년 연평균 성장률(CAGR)은 29.5%로, 333억 6,000만 달러로 성장합니다. 예측 기간의 성장은 기업 시스템과의 통합, 복잡한 시스템의 예측 분석, 사전 예방적 유지보수 전략의 중요성에 기인합니다. 예측 기간 중 주요 동향으로는 디지털 트윈 기술, 이종 산업 간 협업, 센서 기술 발전, 고급 분석 및 머신러닝, 클라우드 기반 솔루션 등이 있습니다.
유지보수 비용, 장비 고장 및 다운타임을 최소화해야 할 필요성이 증가하면서 예지보전 시장의 성장을 가속하는 주요 요인으로 작용하고 있습니다. 장비 다운타임은 예기치 않은 고장으로 인해 특정 기계가 작동하지 않는 기간을 의미합니다. 대형 기계의 잦은 고장과 계획되지 않은 다운타임은 사업 운영에 혼란을 초래하고, 일시적인 생산 중단, 유휴 노동, 금전적 페널티 등으로 이어집니다. 예를 들어 2023년 2월 미국 정부 기관인 국립생명공학정보센터(National Center for Biotechnology Information)는 제조 기계의 유지보수 비용이 총 생산 비용의 15%에서 70%를 차지한다고 보고했습니다. 이에 따라 유지보수 비용, 장비 고장 및 다운타임을 줄이기 위한 수요 증가로 예측 기간 중 예지보전에 대한 수요가 증가할 것으로 예상됩니다.
사물인터넷(IoT)의 채택이 증가함에 따라 예지보전 시장은 더욱 성장할 것으로 예상되며, IoT는 상호 연결된 컴퓨팅 장비, 고유 ID(UID)를 가진 기계 및 전자 장비의 네트워크 시스템으로 인간 대 인간, 인간 대 컴퓨터의 상호 작용 없이 데이터를 전송할 수 있습니다. 예지보전 IoT 장비는 장비의 실시간 모니터링, 분석을 위한 데이터 수집, 잠재적 문제 사전 식별, 다운타임 감소, 운영 효율성 향상을 위한 유지보수 일정 최적화를 용이하게 합니다. IoT Analytics가 2022년 5월에 발표한 "State of IoT-Spring 2022" 보고서에 따르면 2021년 활성 엔드포인트 수는 122억 개, 총 IoT 연결 수는 8% 증가했으며, IoT 산업은 2022년 18% 증가한 144억 개의 활성 연결에 도달할 것으로 예측됩니다. 따라서 IoT의 보급이 예지보전 시장의 원동력이 되고 있습니다.
목차
제1장 개요
제2장 시장의 특징
제3장 시장 동향과 전략
제4장 시장 - 거시경제 시나리오 금리, 인플레이션, 지정학, Covid, 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계의 예지보전 PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인, 억제요인)
최종 용도 산업의 분석
세계의 예지보전 시장 : 성장률 분석
세계의 예지보전 시장 실적 : 규모와 성장, 2019-2024
세계의 예지보전 시장 예측 : 규모와 성장, 2024-2029, 2034F
세계 예지보전 TAM(Total Addressable Market)
제6장 시장 세분화
세계의 예지보전 시장 : 컴포넌트별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
솔루션
서비스
세계의 예지보전 시장 : 배포 모드별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
온프레미스
클라우드
세계의 예지보전 시장 : 이해관계자별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
MRO
제조
테크놀러지 인티그레이터
세계의 예지보전 시장 : 용도별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
중기
소형기계
기타 용도
세계의 예지보전 시장 : 최종사용자별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
항공우주 및 방위
자동차·운송
에너지·유틸리티
헬스케어
IT 및 통신
제조업
석유 및 가스
기타 최종사용자
세계의 예지보전 시장, 솔루션의 서브 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
소프트웨어 플랫폼
예측 분석 툴
기계학습 모델
IoT 센서와 디바이스
세계의 예지보전 시장, 서비스의 유형별 서브 세분화, 실적과 예측, 2019-2024, 2024-2029F, 2034F
컨설팅 서비스
통합과 실장
지원과 정비
트레이닝과 교육
제7장 지역별·국가별 분석
세계의 예지보전 시장 : 지역별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
세계의 예지보전 시장 : 국가별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도와 기업 개요
예지보전 시장 : 경쟁 구도
예지보전 시장 : 기업 개요
Google LLC Overview, Products and Services, Strategy and Financial Analysis
Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis
Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
Siemens AG Overview, Products and Services, Strategy and Financial Analysis
제31장 기타 대기업과 혁신적 기업
General Electric Company
International Business Machines Corporation
Cisco Systems Inc.
Oracle Corporation
Schneider Electric SE
OPEX Group Ltd.
SAP SE
Hewlett Packard Enterprise Company
SAS Institute Inc.
Splunk Inc.
Larsen & Toubro Infotech Limited
PTC Inc.
TIBCO Software Inc.
Fluke Corporation
Software AG
제32장 세계의 시장 경쟁 벤치마킹과 대시보드
제33장 주요 합병과 인수
제34장 최근 시장 동향
제35장 시장의 잠재력이 높은 국가, 부문, 전략
예지보전 시장 2029 : 새로운 기회를 제공하는 국가
예지보전 시장 2029 : 새로운 기회를 제공하는 부문
예지보전 시장 2029 : 성장 전략
시장 동향에 기반한 전략
경쟁사 전략
제36장 부록
KSA
영문 목차
영문목차
Predictive maintenance refers to the utilization of data-driven condition monitoring tools and techniques for analyzing equipment conditions and foreseeing maintenance needs. It employs testing methods such as data acquisition, data transformation, asset health evaluation, prognostics, a decision support system, and a human interface layer, aiding various industries in reducing maintenance and safeguarding their machinery by integrating data from all sources through data analytics. The central element in this process is the Internet of Things (IoT), enabling systems to collaborate in translating and analyzing recorded data.
Predictive maintenance is categorized into solutions and services. Predictive maintenance solutions refer to custom-designed software or platforms for asset management, tailored to unique business requirements and operating on Internet of Things (IoT) technology. These solutions are deployed on both on-premise and cloud infrastructure, catering to stakeholders such as MRO, OEM/ODM, and technology integrators. They find applications in heavy machinery, small machinery, and various industries, including aerospace & defense, automotive & transportation, energy & utilities, healthcare, IT & telecommunication, manufacturing, oil & gas, and others.
The predictive maintenance market research report is one of a series of new reports from The Business Research Company that provides predictive maintenance market statistics, including the predictive maintenance industry global market size, regional shares, competitors with a predictive maintenance market share, detailed predictive maintenance market segments, market trends and opportunities, and any further data you may need to thrive in the predictive maintenance industry. This predictive maintenance market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The predictive maintenance market size has grown exponentially in recent years. It will grow from $9.3 billion in 2024 to $11.88 billion in 2025 at a compound annual growth rate (CAGR) of 27.6%. The growth in the historic period can be attributed to equipment downtime reduction, cost savings, regulatory compliance and safety standards.
The predictive maintenance market size is expected to see exponential growth in the next few years. It will grow to $33.36 billion in 2029 at a compound annual growth rate (CAGR) of 29.5%. The growth in the forecast period can be attributed to integration with enterprise systems, predictive analytics for complex systems, focus on proactive maintenance strategies. Major trends in the forecast period include digital twin technology, cross-industry collaboration, advancements in sensor technologies, advanced analytics and machine learning, cloud-based solutions.
The increasing need to minimize maintenance costs, equipment failures, and downtime is a major factor driving the growth of the predictive maintenance market. Equipment downtime refers to the period when specific machinery is not operational due to unexpected failures. Frequent equipment breakdowns and unplanned downtimes of large machinery disrupt business operations, leading to temporary production halts, idle labor, financial penalties, and more. For instance, in February 2023, the National Center for Biotechnology Information, a US government-funded organization, reported that maintenance costs for manufacturing machinery can account for between 15% and 70% of total production costs. Consequently, the rising demand to mitigate maintenance expenses, equipment failures, and downtimes is anticipated to enhance the demand for predictive maintenance throughout the forecast period.
The increasing adoption of the Internet of Things (IoT) is expected to propel further growth in the predictive maintenance market. IoT is a networked system of interconnected computing devices, mechanical and electronic machinery with unique identities (UIDs), capable of transferring data without requiring human-to-human or human-to-computer interaction. IoT devices in predictive maintenance facilitate real-time monitoring of equipment, data collection for analysis, proactive identification of potential issues, reduction of downtime, and optimization of maintenance schedules to enhance operational efficiency. According to the State of IoT-Spring 2022 report by IoT Analytics in May 2022, there were 12.2 billion active endpoints in 2021, marking an 8% increase in the total number of IoT connections. The IoT industry is projected to experience an 18% increase to reach 14.4 billion active connections in 2022. Hence, the growing adoption of IoT serves as a driving force for the predictive maintenance market.
Major players in the predictive maintenance market are forming strategic partnerships to enhance their service offerings, utilize complementary technologies, and improve customer outcomes. These collaborations facilitate the integration of advanced technologies and expertise, allowing companies to refine their solutions, optimize asset performance, and minimize downtime through enhanced data analytics and innovative methods. For example, in July 2023, NTPC, an India-based power generation company, joined forces with the International Institute of Information Technology-Naya Raipur, a state-funded institute in India, to establish the IIITNR-COE on Predictive Maintenance. This center of excellence aims to focus on research and development of predictive maintenance tools and systems, leveraging field data provided by NTPC and offering academic insights into cutting-edge technologies.
Major players in the predictive maintenance market are intensifying their focus on introducing innovative solutions, such as the Asset Risk Predictor, to gain a competitive advantage. The Asset Risk Predictor employs advanced analytics to assess and forecast the risk of equipment failure, aiding industrial organizations in optimizing maintenance strategies and minimizing downtime. A case in point is the move by Rockwell Automation Inc., a US-based automation company, which, in September 2023, launched its inaugural artificial intelligence (AI) predictive maintenance software, Asset Risk Predictor. This software utilizes AI sensor data, machine recipes, and operational environments to predict asset health, enabling users to detect and address potential failures before they occur. The tool's capability to recognize signs of equipment failure allows it to predict breakdowns days in advance, facilitating quicker reactions by automatically generating work orders in the computerized maintenance management system (CMMS).
In June 2022, Siemens, a Germany-based technology company with a focus on industry, infrastructure, transport, and healthcare, acquired Senseye, a UK-based predictive maintenance solution provider, for an undisclosed amount. This acquisition positioned Senseye as a subsidiary of Siemens, bolstering Siemens' presence in the digital services portfolio.
Major companies operating in the predictive maintenance market include Google LLC, Microsoft Corporation, Hitachi Ltd., Amazon Web Services Inc., Siemens AG, General Electric Company, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Schneider Electric SE, OPEX Group Ltd., SAP SE, Hewlett Packard Enterprise Company, SAS Institute Inc., Splunk Inc., Larsen & Toubro Infotech Limited, PTC Inc., TIBCO Software Inc., Fluke Corporation, Software AG, Banner Engineering Corporation, Altair Engineering Inc., C3.ai Inc., Axiomtek Co Ltd., SparkCognition Inc., Uptake Technologies Inc., RapidMiner Inc., Dingo Inc., Senseye Ltd., Aspen Technology Inc., Dassault Systemes SE, Rockwell Automation Inc., Honeywell International Inc.
North America was the largest region in the predictive maintenance market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the predictive maintenance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the predictive maintenance market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The predictive maintenance market includes revenues earned by entities by providing services such as monitoring equipment, failure mode, and condition. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Predictive Maintenance Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on predictive maintenance market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for predictive maintenance ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The predictive maintenance market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Component: Solutions; Service
2) By Deployment Mode: On-premises; Cloud
3) By Stakeholder: MRO; OEM/ODM; Technology Integrators
4) By Application: Heavy Machinery; Small Machinery; Other Applications
5) By End User: Aerospace & Defense; Automotive & Transportation; Energy & Utilities; Healthcare; IT & Telecommunication; Manufacturing; Oil & Gas; Other End Users
Subsegments:
1) By Solutions: Software Platforms; Predictive Analytics Tools; Machine Learning Models; IoT Sensors And Devices
2) By Service: Consulting Services; Integration And Implementation; Support And Maintenance; Training And Education
Companies Mentioned: Google LLC; Microsoft Corporation; Hitachi Ltd.; Amazon Web Services Inc.; Siemens AG
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.
Table of Contents
1. Executive Summary
2. Predictive Maintenance Market Characteristics
3. Predictive Maintenance Market Trends And Strategies
4. Predictive Maintenance Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market
5. Global Predictive Maintenance Growth Analysis And Strategic Analysis Framework
5.1. Global Predictive Maintenance PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Predictive Maintenance Market Growth Rate Analysis
5.4. Global Predictive Maintenance Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Predictive Maintenance Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Predictive Maintenance Total Addressable Market (TAM)
6. Predictive Maintenance Market Segmentation
6.1. Global Predictive Maintenance Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Solutions
Service
6.2. Global Predictive Maintenance Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
On-premises
Cloud
6.3. Global Predictive Maintenance Market, Segmentation By Stakeholder, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
MRO
OEM/ODM
Technology Integrators
6.4. Global Predictive Maintenance Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Heavy Machinery
Small Machinery
Other Applications
6.5. Global Predictive Maintenance Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Aerospace & Defense
Automotive & Transportation
Energy & Utilities
Healthcare
IT & Telecommunication
Manufacturing
Oil & Gas
Other End Users
6.6. Global Predictive Maintenance Market, Sub-Segmentation Of Solutions, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Software Platforms
Predictive Analytics Tools
Machine Learning Models
IoT Sensors And Devices
6.7. Global Predictive Maintenance Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Consulting Services
Integration And Implementation
Support And Maintenance
Training And Education
7. Predictive Maintenance Market Regional And Country Analysis
7.1. Global Predictive Maintenance Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Predictive Maintenance Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
