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세계의 예지보전 소프트웨어 시장 보고서(2025년)
Predictive Maintenance Software Global Market Report 2025
상품코드 : 1760225
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

예지보전 소프트웨어 시장 규모는 향후 수 년간 비약적인 성장이 전망될 예정입니다. 예측 기간 동안의 성장은 운영 비용 절감에 대한 집중도 증가, 사물인터넷(IoT) 채택 증가, 원격 모니터링 기능에 대한 강조 확대, 데이터 기반 의사 결정으로의 전환, 인재 관리에 대한 집중도 증가에 기인할 수 있습니다. 예측 기간의 주요 동향으로서는 인공지능의 발전, 디지털 트윈 기술과의 통합, 머신러닝 알고리즘의 혁신, 엣지 컴퓨팅 솔루션의 개발, 분석 기능의 강화 등을 들 수 있습니다.

클라우드 컴퓨팅의 채택이 증가하고 있다는 것은 예지보전 소프트웨어 시장의 성장을 가속할 것으로 예측됩니다. 클라우드 컴퓨팅은 서버, 스토리지, 데이터베이스, 네트워킹, 소프트웨어 및 분석과 같은 온디맨드 컴퓨팅 리소스를 인터넷을 통해 종량제로 제공합니다. 클라우드 컴퓨팅 플랫폼 수요는 그 확장성에 따라 높아지고 있으며, 기업은 증가하는 데이터와 운영 요구에 따라 리소스를 쉽게 확대할 수 있습니다. 예측 유지보수 소프트웨어는 실시간 데이터 분석 및 머신 러닝 알고리즘을 활용하여 클라우드컴퓨팅을 활용하여 기업이 유지보수 일정을 최적화하고 다운타임을 줄일 수 있도록 지원합니다. 2023년 12월, 룩셈부르크에 본사를 둔 정부 기관인 유로스탯(Eurostat)은 2023년에 기업의 45.2%가 클라우드 컴퓨팅 서비스를 구매했으며, 이는 2021년 41%에서 4.2% 증가한 수치라고 보고했습니다.

예지보전 소프트웨어 시장의 주요 진출기업은 장비의 신뢰성을 향상시키고 다운타임을 최소화하고 유지보수 프로세스를 최적화하기 위해 인공지능(AI)을 활용한 예측 분석 등 혁신적인 솔루션 개발에 주력하고 있습니다. AI 기반 예측 분석은 머신러닝과 AI를 사용하여 데이터를 분석하고, 잠재적인 고장을 예측하며, 유지보수 전략을 최적화하여 장애 발생을 방지하고 효율성을 향상시켰습니다. Guidewheel Inc.는 AI를 활용한 예지보전 솔루션인 Scout를 발표했습니다. 이 소프트웨어는 기계의 성능 데이터를 실시간으로 분석하고 잠재적인 고장의 초기 징후를 검출함으로써 제조업체는 추가적인 하드웨어나 트레이닝을 필요로 하지 않고 장비의 손상이나 다운타임을 방지할 수 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나와 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

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 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 전략

제36장 부록

SHW
영문 목차

영문목차

Predictive maintenance software is a platform that leverages data analytics, machine learning, and sensor technologies to forecast when equipment or machinery may fail. It helps optimize maintenance schedules, minimize downtime, enhance operational efficiency, and reduce expensive repairs by identifying potential issues at an early stage.

The primary components of predictive maintenance software are software and services. The software component includes digital platforms and applications designed to gather, analyze, and interpret data from equipment and machinery to predict potential failures before they happen. It can be deployed in two main formats on-premises and cloud-based. The software caters to organizations of all sizes, including small and medium-sized enterprises (SMEs) and large enterprises. Key application areas include Asset Performance Management (APM) and Equipment Health Monitoring. It is used across various industry sectors, such as manufacturing, energy and utilities, transportation, healthcare, aerospace and defense, among others.

The predictive maintenance software market research report is one of a series of new reports from The Business Research Company that provides predictive maintenance software market statistics, including predictive maintenance software industry global market size, regional shares, competitors with a predictive maintenance software market share, detailed predictive maintenance software market segments, market trends and opportunities, and any further data you may need to thrive in the predictive maintenance software industry. This predictive maintenance software market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The predictive maintenance software market size has grown exponentially in recent years. It will grow from $6.79 billion in 2024 to $8.49 billion in 2025 at a compound annual growth rate (CAGR) of 25.0%. The growth during the historical period can be attributed to several factors, including the rising costs of equipment downtime, the increase in industrial automation, the expansion of condition-based monitoring, a growing demand for asset reliability, and a shortage of skilled maintenance personnel.

The predictive maintenance software market size is expected to see exponential growth in the next few years. It will grow to $20.54 billion in 2029 at a compound annual growth rate (CAGR) of 24.7%. The growth during the forecast period can be attributed to the increasing focus on reducing operational costs, the rising adoption of the Internet of Things (IoT), greater emphasis on remote monitoring capabilities, a shift towards data-driven decision-making, and a growing focus on talent management. Key trends in the forecast period include advancements in artificial intelligence, integration with digital twin technology, innovations in machine learning algorithms, the development of edge computing solutions, and enhanced analytics capabilities.

The increasing adoption of cloud computing is expected to drive the growth of the predictive maintenance software market. Cloud computing delivers on-demand computing resources such as servers, storage, databases, networking, software, and analytics over the Internet on a pay-as-you-go basis. The demand for cloud computing platforms is rising due to their scalability, allowing businesses to easily expand resources based on growing data and operational needs. Predictive maintenance software leverages cloud computing by utilizing real-time data analysis and machine learning algorithms, enabling businesses to optimize maintenance schedules and reduce downtime. It enhances operational efficiency by seamlessly integrating with cloud platforms, offering scalable and cost-effective solutions for asset management. For instance, in December 2023, Eurostat, a Luxembourg-based government agency, reported that 45.2% of enterprises purchased cloud computing services, a 4.2% increase from 41% in 2021. Therefore, the growing adoption of cloud computing is fueling the expansion of the predictive maintenance software market.

Key players in the predictive maintenance software market are focusing on developing innovative solutions, such as artificial intelligence (AI)-driven predictive analytics, to improve equipment reliability, minimize downtime, and optimize maintenance processes. AI-powered predictive analytics uses machine learning and AI to analyze data, predict potential failures, and optimize maintenance strategies to prevent disruptions and improve efficiency. For example, in July 2024, Guidewheel Inc., a US-based industrial operations software company, launched Scout, an AI-powered predictive maintenance solution. This software analyzes machine performance data in real-time to detect early signs of potential failures, enabling manufacturers to prevent equipment damage and downtime without requiring additional hardware or training.

In June 2022, Siemens AG, a Germany-based automation company, acquired Senseye Ltd. for an undisclosed amount. This acquisition strengthens Siemens' digital services portfolio by integrating Senseye's advanced AI-powered predictive maintenance solutions. The acquisition enables Siemens to help industrial companies reduce unplanned machine downtime, improve maintenance productivity, extend asset lifecycles, and enhance overall equipment effectiveness. Senseye Ltd. is a UK-based company specializing in predictive maintenance software solutions for industrial sectors.

Major players in the predictive maintenance software market are Microsoft Corporation, Constellation Software Inc., Hitachi Ltd., Siemens AG, IBM Corporation, Oracle Corporation, Schneider Electric SE, Honeywell International Inc., GE Vernova, SAP SE, ABB Ability, Danaher Corporation, Emerson Electric Co., Rockwell Automation Inc., PTC Inc., NEC Corporation, Augury Inc., Arundo Analytics Inc., MachineMetrics, Avathon.

North America was the largest region in the predictive maintenance software market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in predictive maintenance software report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the predictive maintenance software market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The predictive maintenance software market consists of revenues earned by entities by providing services such as condition monitoring, failure prediction, asset performance management and remote diagnostics. The market value includes the value of related goods sold by the service provider or included within the service offering. The predictive maintenance software market also includes sales of artificial intelligence-driven analytics platforms, internet of things-enabled monitoring systems, cloud-based maintenance solutions, and software-integrated diagnostic tools. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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 Software 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 software 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.

Reasons to Purchase

Where is the largest and fastest growing market for predictive maintenance software ? 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 software 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 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.

Scope

Table of Contents

1. Executive Summary

2. Predictive Maintenance Software Market Characteristics

3. Predictive Maintenance Software Market Trends And Strategies

4. Predictive Maintenance Software Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Predictive Maintenance Software Growth Analysis And Strategic Analysis Framework

6. Predictive Maintenance Software Market Segmentation

7. Predictive Maintenance Software Market Regional And Country Analysis

8. Asia-Pacific Predictive Maintenance Software Market

9. China Predictive Maintenance Software Market

10. India Predictive Maintenance Software Market

11. Japan Predictive Maintenance Software Market

12. Australia Predictive Maintenance Software Market

13. Indonesia Predictive Maintenance Software Market

14. South Korea Predictive Maintenance Software Market

15. Western Europe Predictive Maintenance Software Market

16. UK Predictive Maintenance Software Market

17. Germany Predictive Maintenance Software Market

18. France Predictive Maintenance Software Market

19. Italy Predictive Maintenance Software Market

20. Spain Predictive Maintenance Software Market

21. Eastern Europe Predictive Maintenance Software Market

22. Russia Predictive Maintenance Software Market

23. North America Predictive Maintenance Software Market

24. USA Predictive Maintenance Software Market

25. Canada Predictive Maintenance Software Market

26. South America Predictive Maintenance Software Market

27. Brazil Predictive Maintenance Software Market

28. Middle East Predictive Maintenance Software Market

29. Africa Predictive Maintenance Software Market

30. Predictive Maintenance Software Market Competitive Landscape And Company Profiles

31. Predictive Maintenance Software Market Other Major And Innovative Companies

32. Global Predictive Maintenance Software Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Predictive Maintenance Software Market

34. Recent Developments In The Predictive Maintenance Software Market

35. Predictive Maintenance Software Market High Potential Countries, Segments and Strategies

36. Appendix

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