예지보전 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측 - 구성요소별, 조직 규모별, 도입 모델별, 지역별, 경쟁별(2020-2030년)
Predictive Maintenance Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Component, By Organization Size, By Deployment Model, By Region, and By Competition, 2020-2030F
상품코드:1881691
리서치사:TechSci Research
발행일:2025년 11월
페이지 정보:영문 186 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
세계의 예지보전 시장은 2024년에 67억 7,000만 달러로 평가되었으며, 2030년까지 CAGR 27.91%로 성장하여 296억 5,000만 달러에 달할 것으로 예측됩니다.
예지보전(PdM)은 첨단 데이터 분석과 센서 기술을 활용하여 설비의 잠재적 고장을 예측하고 예방적 유지보수 계획 수립 및 자산 성능 최적화를 가능하게 합니다.
시장 개요
예측 기간
2026-2030년
시장 규모 : 2024년
67억 7,000만 달러
시장 규모 : 2030년
296억 5,000만 달러
CAGR : 2025-2030년
27.91%
가장 빠르게 성장하는 부문
서비스
최대 시장
북미
주요 시장 촉진요인
세계 예지보전 시장 확대의 주요 촉진요인은 운영 비용의 최소화와 예기치 못한 다운타임의 감소가 매우 중요하다는 점입니다. 다양한 산업 분야의 기업들은 장비의 신뢰성을 높이고 생산의 연속성을 유지하는 방법을 모색하고 있으며, 이는 직접적인 경제적 이익으로 이어집니다.
주요 시장 과제
예지보전 솔루션의 시장 확대를 가로막는 가장 큰 문제는 초기 투자비용이 매우 크다는 점입니다. 종합적인 센서 인프라를 도입하고 다양한 데이터 소스를 통합하기 위해서는 막대한 설비 투자가 필요합니다.
주요 시장 동향
세계 예지보전 시장은 자산의 시뮬레이션과 최적화를 위한 디지털 트윈 기술의 보급으로 인해 큰 영향을 받고 있습니다. 이 트렌드에서는 물리적 자산, 시스템 또는 프로세스의 가상 복제본을 만들어 실시간 성능을 모니터링하고, 다양한 시나리오를 시뮬레이션하며, 잠재적인 고장을 높은 정확도로 예측합니다.
목차
제1장 개요
제2장 조사 방법
제3장 주요 요약
제4장 고객의 소리
제5장 세계의 예지보전 시장 전망
시장 규모 및 예측
금액별
시장 점유율과 예측
구성요소별(솔루션, 서비스)
조직 규모별(대기업, 중소기업)
도입 모델별(클라우드/온프레미스)
지역별
기업별(2024)
시장 맵
제6장 북미의 예지보전 시장 전망
시장 규모 및 예측
시장 점유율과 예측
북미 : 국가별 분석
미국
캐나다
멕시코
제7장 유럽의 예지보전 시장 전망
시장 규모 및 예측
시장 점유율과 예측
유럽 : 국가별 분석
독일
프랑스
영국
이탈리아
스페인
제8장 아시아태평양의 예지보전 시장 전망
시장 규모 및 예측
시장 점유율과 예측
아시아태평양 : 국가별 분석
중국
인도
일본
한국
호주
제9장 중동 및 아프리카의 예지보전 시장 전망
시장 규모 및 예측
시장 점유율과 예측
중동 및 아프리카 : 국가별 분석
사우디아라비아
아랍에미리트
남아프리카공화국
제10장 남미의 예지보전 시장 전망
시장 규모 및 예측
시장 점유율과 예측
남미 : 국가별 분석
브라질
콜롬비아
아르헨티나
제11장 시장 역학
성장 촉진요인
과제
제12장 시장 동향과 발전
인수합병
제품 출시
최근 동향
제13장 세계의 예지보전 시장 : SWOT 분석
제14장 Porter's Five Forces 분석
업계내 경쟁
신규 참여의 가능성
공급업체의 능력
고객의 능력
대체품의 위협
제15장 경쟁 구도
Accenture plc
Cisco Systems, Inc.
General Electric Company
Honeywell International Inc.
Hitachi, Ltd.
IBM Corporation
Microsoft Corporation
Robert Bosch GmbH
SAP SE
Schneider Electric SE
제16장 전략적 제안
제17장 조사 회사 소개 및 면책사항
KSM
영문 목차
영문목차
The Global Predictive Maintenance Market, valued at USD 6.77 Billion in 2024, is projected to experience a CAGR of 27.91% to reach USD 29.65 Billion by 2030. Predictive maintenance (PdM) employs advanced data analytics and sensor technologies to forecast potential equipment failures, enabling proactive maintenance scheduling and optimizing asset performance.
Market Overview
Forecast Period
2026-2030
Market Size 2024
USD 6.77 Billion
Market Size 2030
USD 29.65 Billion
CAGR 2025-2030
27.91%
Fastest Growing Segment
Service
Largest Market
North America
Key Market Drivers
A primary catalyst for the expansion of the Global Predictive Maintenance Market is the critical imperative to minimize operational costs and reduce unplanned downtime. Businesses across various sectors seek methods to enhance equipment reliability and sustain production continuity, directly translating into tangible economic benefits. Unplanned equipment failures lead to significant production losses and increased repair expenses. Predictive maintenance solutions address these challenges by enabling proactive interventions rather than reactive responses, preventing costly breakdowns and facilitating optimized resource allocation.
Key Market Challenges
A significant challenge impeding broader market expansion for predictive maintenance solutions is the substantial initial investment required. Implementing comprehensive sensor infrastructure and integrating diverse data sources necessitates considerable capital expenditure. This financial barrier can significantly constrain adoption for numerous enterprises, particularly those with limited capital reserves.
Key Market Trends
The global predictive maintenance market is significantly influenced by the widespread adoption of digital twin technology for asset simulation and optimization. This trend involves creating virtual replicas of physical assets, systems, or processes to monitor their real-time performance, simulate various scenarios, and predict potential failures with high accuracy. Digital twins integrate data from sensors, operational systems, and historical records to provide a comprehensive, dynamic view of an asset's health and operational efficiency. This capability allows manufacturers to conduct virtual testing of process changes, identify optimal configurations, and reduce the time and cost associated with physical prototyping.
Key Market Players
Accenture plc
Cisco Systems, Inc.
General Electric Company
Honeywell International Inc.
Hitachi, Ltd.
IBM Corporation
Microsoft Corporation
Robert Bosch GmbH
SAP SE
Schneider Electric SE
Report Scope:
In this report, the Global Predictive Maintenance Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Predictive Maintenance Market, By Component:
Solution
Service
Predictive Maintenance Market, By Organization Size:
Large Enterprises
Small & Medium Enterprises
Predictive Maintenance Market, By Deployment Model:
Cloud
On-premise
Predictive Maintenance Market, By Region:
North America
United States
Canada
Mexico
Europe
France
United Kingdom
Italy
Germany
Spain
Asia Pacific
China
India
Japan
Australia
South Korea
South America
Brazil
Argentina
Colombia
Middle East & Africa
South Africa
Saudi Arabia
UAE
Competitive Landscape
Company Profiles: Detailed analysis of the major companies presents in the Global Predictive Maintenance Market.
Available Customizations:
Global Predictive Maintenance Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Detailed analysis and profiling of additional market players (up to five).
Table of Contents
1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. Executive Summary
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends
4. Voice of Customer
5. Global Predictive Maintenance Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Component (Solution, Service)
5.2.2. By Organization Size (Large Enterprises, Small & Medium Enterprises)
5.2.3. By Deployment Model (Cloud, On-premise)
5.2.4. By Region
5.2.5. By Company (2024)
5.3. Market Map
6. North America Predictive Maintenance Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component
6.2.2. By Organization Size
6.2.3. By Deployment Model
6.2.4. By Country
6.3. North America: Country Analysis
6.3.1. United States Predictive Maintenance Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Component
6.3.1.2.2. By Organization Size
6.3.1.2.3. By Deployment Model
6.3.2. Canada Predictive Maintenance Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Component
6.3.2.2.2. By Organization Size
6.3.2.2.3. By Deployment Model
6.3.3. Mexico Predictive Maintenance Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Component
6.3.3.2.2. By Organization Size
6.3.3.2.3. By Deployment Model
7. Europe Predictive Maintenance Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Organization Size
7.2.3. By Deployment Model
7.2.4. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Predictive Maintenance Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Component
7.3.1.2.2. By Organization Size
7.3.1.2.3. By Deployment Model
7.3.2. France Predictive Maintenance Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Component
7.3.2.2.2. By Organization Size
7.3.2.2.3. By Deployment Model
7.3.3. United Kingdom Predictive Maintenance Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Component
7.3.3.2.2. By Organization Size
7.3.3.2.3. By Deployment Model
7.3.4. Italy Predictive Maintenance Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Component
7.3.4.2.2. By Organization Size
7.3.4.2.3. By Deployment Model
7.3.5. Spain Predictive Maintenance Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Component
7.3.5.2.2. By Organization Size
7.3.5.2.3. By Deployment Model
8. Asia Pacific Predictive Maintenance Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Organization Size
8.2.3. By Deployment Model
8.2.4. By Country
8.3. Asia Pacific: Country Analysis
8.3.1. China Predictive Maintenance Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Component
8.3.1.2.2. By Organization Size
8.3.1.2.3. By Deployment Model
8.3.2. India Predictive Maintenance Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Component
8.3.2.2.2. By Organization Size
8.3.2.2.3. By Deployment Model
8.3.3. Japan Predictive Maintenance Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Component
8.3.3.2.2. By Organization Size
8.3.3.2.3. By Deployment Model
8.3.4. South Korea Predictive Maintenance Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Component
8.3.4.2.2. By Organization Size
8.3.4.2.3. By Deployment Model
8.3.5. Australia Predictive Maintenance Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Component
8.3.5.2.2. By Organization Size
8.3.5.2.3. By Deployment Model
9. Middle East & Africa Predictive Maintenance Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Organization Size
9.2.3. By Deployment Model
9.2.4. By Country
9.3. Middle East & Africa: Country Analysis
9.3.1. Saudi Arabia Predictive Maintenance Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Component
9.3.1.2.2. By Organization Size
9.3.1.2.3. By Deployment Model
9.3.2. UAE Predictive Maintenance Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Component
9.3.2.2.2. By Organization Size
9.3.2.2.3. By Deployment Model
9.3.3. South Africa Predictive Maintenance Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Component
9.3.3.2.2. By Organization Size
9.3.3.2.3. By Deployment Model
10. South America Predictive Maintenance Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Organization Size
10.2.3. By Deployment Model
10.2.4. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Predictive Maintenance Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Component
10.3.1.2.2. By Organization Size
10.3.1.2.3. By Deployment Model
10.3.2. Colombia Predictive Maintenance Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Component
10.3.2.2.2. By Organization Size
10.3.2.2.3. By Deployment Model
10.3.3. Argentina Predictive Maintenance Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Component
10.3.3.2.2. By Organization Size
10.3.3.2.3. By Deployment Model
11. Market Dynamics
11.1. Drivers
11.2. Challenges
12. Market Trends & Developments
12.1. Merger & Acquisition (If Any)
12.2. Product Launches (If Any)
12.3. Recent Developments
13. Global Predictive Maintenance Market: SWOT Analysis
