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시장보고서
상품코드
2052838
운영 예측 보전 시장 : 유형별, 도입 모델별, 최종사용자별, 지역별Operational Predictive Maintenance Market, By Type, By Deployment Model, By End User, By Geography |
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가격
※ 부가세 별도
한글목차
영문목차
※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.
운영 예측 보전 시장은 2026년에 83억 1,000만 달러로 추정되며, 2033년까지 455억 3,000만 달러에 달할 것으로 전망됩니다. 2026년부터 2033년까지 CAGR 27.5%로 성장할 것으로 예측됩니다.
| 보고서 범위 | 보고서 상세 | ||
|---|---|---|---|
| 기준 연도: | 2025년 | 2026년 시장 규모: | 83억 1,000만 달러 |
| 과거 데이터 기간: | 2020-2024년 | 예측 기간: | 2026-2033년 |
| 2026년부터 2033년까지 예측 기간 CAGR: | 27.50% | 2033년 시장 규모 예측: | 455억 3,000만 달러 |
세계 운영 예측 보전 시장은 다양한 분야의 장비 및 자산의 가동 상태를 예측적으로 모니터링하고 유지보수하기 위한 기술, 솔루션 및 서비스 제공에 초점을 맞춘 시장입니다. 운영 예측 보전은 고급 분석, 머신러닝, 인공지능(AI)을 활용하여 데이터를 분석하고 장비 고장이 발생하기 전에 그 가능성을 파악합니다. 예측 유지보수 기술을 활용하면 조직은 유지보수 일정을 최적화하고, 예기치 못한 다운타임을 줄이고, 고비용의 고장을 방지하여 운영 효율을 높이고 비용을 절감할 수 있습니다.
시장 역학
세계 운영 예측 보전 시장은 몇 가지 주요 요인에 의해 주도되고 있습니다. 첫째, 업계 전반에서 비용 절감과 운영 효율성에 대한 요구가 높아지면서 조직이 유지보수 작업을 최적화하고 다운타임을 줄이며 장비 고장을 최소화하는 데 도움이 되는 예측적 유지보수 솔루션에 대한 수요가 증가하고 있습니다. 둘째, AI, 머신러닝, IoT 등 기술의 발전으로 보다 정확하고 고도화된 예측 분석이 가능해져 예측보전 모델의 유효성이 향상되고 있습니다. 셋째, 예방적 유지보수 전략의 장점과 상당한 비용 절감 가능성에 대한 인식이 높아짐에 따라 운영 예측 보전 도입이 증가하고 있습니다.
본 조사의 주요 특징
- 이 보고서는 다양한 부문의 잠재적 성장 기회를 파악하고, 이 시장의 매력적인 투자 제안 매트릭스를 설명합니다.
- 또한 시장 촉진요인, 억제요인, 기회, 신제품 출시 및 승인, 시장 동향, 지역별 전망, 주요 기업의 경쟁 전략에 대한 중요한 인사이트를 제공합니다.
- 이 보고서는 다음과 같은 매개변수(회사 하이라이트, 제품 포트폴리오, 주요 하이라이트, 재무 성과 및 전략)를 기반으로 세계 운영 예측 보전 시장의 주요 기업 프로파일을 프로파일링합니다.
- 이번 조사 대상 기업으로는 General Electric Company, IBM Corporation, eMaint Enterprises LLC, Software AG, Schneider Electric SE, SAS Institute Inc., Rockwell Automation Inc., PTC, Inc., Robert Bosch GmbH 등이 있습니다.
- 이 보고서의 주요 개발 및 전략에 대한 인사이트를 통해 각 기업의 마케팅 담당자와 경영진은 향후 제품 출시, 모델 업그레이드, 시장 확대 및 마케팅 전략에 대한 정보에 입각한 의사결정을 내릴 수 있습니다.
- 이 세계 운영 예측 보존 시장 보고서는 투자자, 공급업체, 제품 제조업체, 유통업체, 신규 진입자, 재무 분석가 등 이 시장의 다양한 이해관계자를 대상으로 합니다.
- 이해관계자들은 세계 운영 예측 보전 시장 분석에 사용되는 다양한 전략 매트릭스를 활용하여 의사결정을 쉽게 내릴 수 있을 것입니다.
목차
제1장 조사 목적과 가정
제2장 시장 전망
제3장 시장 역학·규제·동향 분석
제4장 세계의 운영 예측 보전 시장 : 유형별, 2021-2033년
제5장 세계의 운영 예측 보전 시장 : 전개 모델별, 2021-2033년
제6장 세계의 운영 예측 보전 시장 : 최종사용자별, 2021-2033년
제7장 세계의 운영 예측 보전 시장 : 지역별, 2021-2033년
제8장 경쟁 구도
제9장 섹션
KSM 26.06.17Operational Predictive Maintenance Market is estimated to be valued at USD 8.31 Bn in 2026 and is expected to reach USD 45.53 Bn by 2033, growing at a compound annual growth rate (CAGR) of 27.5% from 2026 to 2033.
| Report Coverage | Report Details | ||
|---|---|---|---|
| Base Year: | 2025 | Market Size in 2026: | USD 8.31 Bn |
| Historical Data for: | 2020 To 2024 | Forecast Period: | 2026 To 2033 |
| Forecast Period 2026 to 2033 CAGR: | 27.50% | 2033 Value Projection: | USD 45.53 Bn |
The global operational predictive maintenance market refers to the market that focuses on providing technologies, solutions, and services aimed at proactively monitoring and maintaining the operational health of equipment and assets in various sectors. Operational predictive maintenance utilizes advanced analytics, machine learning, and Artificial Intelligence (AI) to analyze data and identify potential equipment failures before they occur. By leveraging predictive maintenance techniques, organizations can optimize maintenance schedules, reduce unplanned downtime, and avoid costly breakdowns, leading to increased operational efficiency and cost savings.
Market Dynamics
The global operational predictive maintenance market is driven by several key dynamics. Firstly, the growing need for cost reduction and operational efficiency across industries is fueling the demand for predictive maintenance solutions that help organizations optimize their maintenance practices, reduce downtime, and minimize equipment failures. Secondly, advancements in technology, such as AI, machine learning, and IoT, are enabling more accurate and sophisticated predictive analytics, improving the effectiveness of predictive maintenance models. Thirdly, increasing awareness of the benefits of proactive maintenance strategies and the potential for significant cost savings is driving the adoption of operational predictive maintenance.
Key features of the study
- It elucidates potential revenue growth opportunities across different segments and explains attractive investment proposition matrices for this market
- This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, market trends, regional outlook, and competitive strategies adopted by key players
- It profiles key players in the global operational predictive maintenance market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
- The companies covered as a part of this study include General Electric Company, IBM Corporation, eMaint Enterprises LLC, Software AG, Schneider Electric SE, SAS Institute Inc., Rockwell Automation Inc., PTC, Inc., and Robert Bosch GmbH.
- Key development and strategy insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
- The global operational predictive maintenance market report caters to various stakeholders in this market including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
- Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global operational predictive maintenance market
Market Segmentation
- Global Operational Predictive Maintenance Market, By Type (Revenue, USD Bn, 2021 - 2033)
- Software
- Services
- Global Operational Predictive Maintenance Market, By Deployment Model (Revenue, USD Bn, 2021 - 2033)
- Cloud-based
- On-premise
- Global Operational Predictive Maintenance Market, By End User (Revenue, USD Bn, 2021 - 2033)
- Public Sector
- Automotive
- Manufacturing
- Healthcare
- Energy & Utility
- Transportation
- Others
- Global Operational Predictive Maintenance Market, By Region (Revenue, USD Bn, 2021 - 2033)
- North America
- U.S.
- Canada
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- ASEAN
- Rest of Asia Pacific
- Middle East
- GCC
- Israel
- Rest of Middle East
- Africa
- South Africa
- Central Africa
- North Africa
- Company Profiles
- General Electric Company
- IBM Corporation
- eMaint Enterprises LLC
- Software AG
- Schneider Electric SE
- SAS Institute Inc.
- Rockwell Automation Inc.
- PTC, Inc.
- Robert Bosch GmbH
Table of Contents
1. Research Objectives and Assumptions
- Research Objectives
- Assumptions
- Abbreviations
2. Market Purview
- Report Description
- Market Definition and Scope
- Executive Summary
- Market Snapshot, By Type
- Market Snapshot, By Deployment Model
- Market Snapshot, By End User
- Coherent Opportunity Map (COM)
3. Market Dynamics, Regulations, and Trends Analysis
- Market Dynamics
- Drivers
- Regulatory Compliance and Safety
- Growing Awareness and Adoption
- Restraints
- Data Quality and Availability
- Integration Challenges
- Drivers
- Key Highlights
- Regulatory Scenario
- Product Launches/Approvals
- PEST Analysis
- PORTER's Analysis
- Merger and Acquisition Scenario
4. Global Operational Predictive Maintenance Market, By Type, 2021 - 2033, (US$ Bn)
- Introduction
- Market Share Analysis, 2026 and 2033 (%)
- Y-o-Y Growth Analysis, 2021 - 2033
- Segment Trends
- Software
- Market Share Analysis, 2026 and 2033 (%)
- Y-o-Y Growth Analysis, 2021 - 2033
- Segment Trends
- Services
- Market Share Analysis, 2026 and 2033 (%)
- Y-o-Y Growth Analysis, 2021 - 2033
- Segment Trends
5. Global Operational Predictive Maintenance Market, By Deployment Model, 2021 - 2033, (US$ Bn)
- Introduction
- Market Share Analysis, 2026 and 2033 (%)
- Y-o-Y Growth Analysis, 2021 - 2033
- Segment Trends
- On-premise
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (US$ Bn)
- Segment Trends
- Cloud-based
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (US$ Bn)
- Segment Trends
6. Global Operational Predictive Maintenance Market, By End User, 2021 - 2033, (US$ Bn)
- Introduction
- Market Share Analysis, 2026 and 2033 (%)
- Y-o-Y Growth Analysis, 2021 - 2033
- Segment Trends
- Public Sector
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (US$ Bn)
- Segment Trends
- Automotive
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (US$ Bn)
- Segment Trends
- Manufacturing
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (US$ Bn)
- Segment Trends
- Healthcare
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (US$ Bn)
- Segment Trends
- Energy and Utility
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (US$ Bn)
- Segment Trends
- Transportation
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (US$ Bn)
- Segment Trends
- Others
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, 2021 - 2033, (US$ Bn)
- Segment Trends
7. Global Operational Predictive Maintenance Market, By Region, 2021 - 2033, (US$ Bn)
- Introduction
- Market Share Analysis, By Country, 2026 and 2033 (%)
- Y-o-Y Growth Analysis, For Country 2021 - 2033
- Country Trends
- North America
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, By Type, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2021 - 2033,(US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By End User, 2021 - 2033,(US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By country, 2021 - 2033, (US$ Bn)
- Europe
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, By Type, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By End User, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By country, 2021 - 2033, (US$ Bn)
- APAC
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, By Type, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By End User, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By country, 2021 - 2033, (US$ Bn)
- Latin America
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, By Type 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By End User, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, , By country, 2021 - 2033, (US$ Bn)
- Middle East and Africa
- Introduction
- Market Size and Forecast, and Y-o-Y Growth, By Type, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By Deployment Model, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By End User, 2021 - 2033, (US$ Bn)
- Market Size and Forecast, and Y-o-Y Growth, By country, 2021 - 2033, (US$ Bn)
8. Competitive Landscape
- General Electric Company
- Company Highlights
- Product Portfolio
- Key Developments
- Financial Performance
- Strategies
- IBM Corporation
- Company Highlights
- Product Portfolio
- Key Highlights
- Financial Performance
- Strategies
- eMaint Enterprises LLC
- Company Highlights
- Product Portfolio
- Key Highlights
- Financial Performance
- Strategies
- Software AG
- Company Highlights
- Product Portfolio
- Key Highlights
- Financial Performance
- Strategies
- Schneider Electric SE
- Company Highlights
- Product Portfolio
- Key Highlights
- Financial Performance
- Strategies
- SAS Institute Inc
- Company Highlights
- Product Portfolio
- Key Highlights
- Financial Performance
- Strategies
- Rockwell Automation Inc.
- Company Highlights
- Product Portfolio
- Key Highlights
- Financial Performance
- Strategies
- PTC, Inc.
- Company Highlights
- Product Portfolio
- Key Highlights
- Financial Performance
- Strategies
- Robert Bosch GmbH
- Company Highlights
- Product Portfolio
- Key Highlights
- Financial Performance
- Strategies
- Analyst Views
9. Section
- Research Methodology
- About us
