Se prevé que el mercado de mantenimiento predictivo alcance los 26.588,00 millones de dólares en 2028 desde los 5.316,99 millones de dólares en 2021. Se espera que crezca a una tasa compuesta anual del 27,4% durante 2022-2028.
En los últimos tiempos Durante décadas, la gran demanda para reducir los costos energéticos cada vez más caros y avanzar hacia un futuro sostenible ha hecho que las auditorías energéticas sean importantes. Dado que el gasto de energía es una preocupación importante para las industrias, las empresas controlan continuamente el consumo de energía y se esfuerzan significativamente por minimizarlo. Según un informe del Departamento de Energía de EE.UU., el gasto energético representa alrededor del 20% del gasto medio de un fabricante. Además, las empresas de energía y servicios públicos enfrentan desafíos importantes, que incluyen preocupaciones ambientales, costos operativos en aumento, expectativas cada vez mayores de los consumidores y pautas regulatorias cambiantes. Estos desafíos impulsan la adopción de diferentes herramientas analíticas debido a la creciente necesidad de conocer mejor los patrones de uso y rendimiento para tomar mejores decisiones.
Una vez más, la inspección de líneas eléctricas en el sector energético es compleja, principalmente debido a la ubicaciones, estructuras de difícil acceso y altos costos laborales. Por el contrario, el mantenimiento predictivo mediante inspección aérea no tripulada resuelve este problema, ya que estos drones livianos y económicos brindan inspección visual y sensorial de alta calidad de torres de transmisión y distribución de energía, redes, tuberías y otros lugares de difícil acceso. Por lo tanto, las empresas adoptan continuamente modelos de mantenimiento predictivo para operar sus activos de manera eficiente. A medida que las empresas de servicios públicos adoptan cada vez más la transformación digital para reducir las interrupciones no planificadas de la producción y la distribución y competir de manera más efectiva, existe una necesidad creciente de servicios que respalden dichas capacidades de producción continua. Se espera que estos factores en conjunto impulsen fuertemente el tamaño del mercado de mantenimiento predictivo en los próximos años.
Perspectivas estratégicas: Mercado de mantenimiento predictivo
Impacto de la pandemia de COVID-19 en el crecimiento del mercado de mantenimiento predictivo
Durante el brote de COVID-19, el crecimiento continuo en el tamaño del grupo de pacientes de COVID-19 obligó a las autoridades gubernamentales a imponer Estrictas prohibiciones de viaje en los EE. UU. y otras regiones en los primeros tres trimestres de 2020, lo que provocó importantes perturbaciones en el funcionamiento normal de diversas industrias. La implementación de medidas de contención, como prohibiciones comerciales, restricciones de viaje y limitaciones de la fuerza laboral en el lugar de trabajo, afectó la fabricación, el suministro y las ventas de varias empresas. Por tanto, las empresas tuvieron que adaptarse al entorno cambiante para mantenerse a flote y minimizar las pérdidas. Aceite y Las instalaciones de generación de gas y energía redujeron su actividad, incluido el cierre de proyectos de construcción, operaciones y mantenimiento en varios lugares, después de que los gobernadores estatales de todos los países emitieran múltiples órdenes de "quedarse en casa". Esto dio a las empresas tiempo suficiente para examinar su maquinaria, lo que aumentó la demanda de soluciones de análisis predictivo, lo que impulsó el crecimiento del mercado del mantenimiento predictivo.
Los actores clave del mercado del mantenimiento predictivo presenciaron un fuerte aumento en la demanda después del cuarto trimestre de 2020 desde la mayoría de la industria. Las verticales recurrían cada vez más a análisis, aplicaciones de colaboración, soluciones de seguridad e inteligencia artificial para delinear formas sostenibles de continuar las operaciones comerciales en medio de la amenaza de la pandemia. El mantenimiento predictivo ayudó a las industrias a continuar con las operaciones las 24 horas del día sin averías imprevistas de los equipos. Por lo tanto, la pandemia tuvo un impacto positivo en el crecimiento del mercado de mantenimiento predictivo.
Regiones lucrativas para el mercado de mantenimiento predictivo
Perspectivas del mercado: información sobre el mercado de mantenimiento predictivo Mercado de mantenimiento predictivo
En la industria manufacturera, los fabricantes tenían que confiar en un modelo de mantenimiento reactivo para reparar sólo después de la falla de una unidad en particular, lo que provocaba un alto costo de mantenimiento y paralizaba largos períodos de tiempo de inactividad no programado. Por lo tanto, estos factores condujeron inevitablemente a una producción de menor calidad. Con modelos de mantenimiento predictivo integrados en IoT e IIoT, los actores de la industria manufacturera pueden reducir significativamente los costos al eliminar la necesidad de un mantenimiento innecesariamente frecuente. Por lo tanto, las empresas manufactureras están integrando de manera integral modelos de mantenimiento predictivo para identificar y predecir problemas potenciales dada la información específica extraída de cada unidad, manteniendo así la salud general de fabricación en el proceso.
Como resultado, la creciente prevalencia de la industria 4.0, junto con un aumento en las unidades de fabricación en todo el mundo, está ayudando al crecimiento del mercado del mantenimiento predictivo. Se espera que el mantenimiento predictivo sea tan importante como la planificación de recursos empresariales (ERP) para las organizaciones industriales en el futuro debido al creciente rendimiento de los equipos acorde con la demostración de las mejores prácticas, el cumplimiento de los estándares de la industria y la generación de una ventaja competitiva sobre los demás. Actualmente, Asia Pacífico lidera la carrera de la industrialización. China, India y otras economías importantes de esta región se están convirtiendo en el próximo centro de fabricación a nivel mundial.
Información basada en el tipo de implementación
El mercado de mantenimiento predictivo, por tipo de implementación, se segmenta en nube y local. Se espera que la nube siga siendo el segmento más grande durante el período de pronóstico. El segmento de la nube está creciendo considerablemente debido a varias características ventajosas, como la escalabilidad y la rentabilidad, que se espera que impulsen el crecimiento del mercado de mantenimiento predictivo durante el período de pronóstico. El crecimiento de este segmento también se puede atribuir a un procesamiento de datos más rápido y un control directo de TI, el uso eficiente de los recursos y la rentabilidad de los modelos en la nube.
El mercado del mantenimiento predictivo está segmentado en función de componente, tipo de implementación, técnica e industria. Según el componente, el mercado se segmenta en soluciones y servicios. Según el tipo de implementación, el mercado se clasifica en nube y local. Según la técnica, el mercado se segmenta en monitoreo de vibraciones, pruebas eléctricas, análisis de aceite, detectores de fugas ultrasónicos, pulsos de choque, infrarrojos y otros. Basado en la industria, el mercado se segmenta en manufactura, energía y energía. servicios públicos, aeroespacial y defensa, transporte y amp; logística, petróleo & gas y otros.
Según la geografía, el mercado de mantenimiento predictivo está segmentado en América del Norte, Europa, Asia Pacífico (APAC), Medio Oriente y África (MEA) y América del Sur (SAM). General Electric Co., Hitachi Ltd., IBM Corporation, Microsoft Corporation, PTC, Inc., SAS Institute Inc., Schneider Electric SE, Software AG, Syncron AB y TOSL Engineering Ltd. son actores clave del mercado del mantenimiento predictivo.
Los actores del mercado del mantenimiento predictivo se centran principalmente en soluciones personalizadas para crear valor para el cliente.
- En abril de 2022, Wärtsilä Corporation firmó un Acuerdo de Mantenimiento Optimizado (OMA) que cubre dos buques transportadores de GNL técnicamente administrados y operados por el grupo naviero japonés MMS Co., Ltd. Se espera que el acuerdo brinde un tiempo de funcionamiento maximizado del motor y previsibilidad de costos a largo plazo, al tiempo que optimiza el mantenimiento para el mayor eficiencia y menor huella de carbono. La solución de mantenimiento predictivo de Wärtsilä, Expert Insight, también está incluida en el acuerdo.
- En julio de 2021, Schneider Electric implementó el mantenimiento predictivo para la fábrica de Nestlé en Dubai South. Se espera que esta solución ayude al equipo de operaciones de Nestlé a monitorear la administración de energía, las cargas eléctricas y los ajustes de temperatura de todos los activos conectados de la fábrica, para que puedan abordar los problemas de manera proactiva, evitar tiempos de inactividad no planificados y mitigar los riesgos de seguridad.
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
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to country scope.
Frequently Asked Questions
The predictive maintenance market is expected to reach US$ 26,588.00 Mn by 2028.
The incremental growth, expected to be recorded for the predictive maintenance market during the forecast period, is US$ 20,375.64 million.
The cloud segment led the predictive maintenance market with a significant share in 2021 and it is also expected to grow with the highest CAGR.
The country anticipated to grow with the highest CAGR are Canada, Germany and China.
The US held the largest market share in 2021, followed by China.
APAC is anticipated to grow with the highest CAGR over the forecast period.
The key players, holding majority shares, in predictive maintenance market includes IBM Corporation, General Electric Co., Schneider Electric SE, Microsoft Corporation and Hitachi Ltd.
The proliferation of IoT and AI technologies is anticipated to play a significant role in conducting predictive maintenance in the coming years. AI can make specific recommendations on what action needs to be taken to maintain the health of the company assets.
The increasing need to boost asset uptime and minimize maintenance costs coupled with rise in investments in predictive maintenance owing to IoT adoption are the major factors that propel the predictive maintenance market growth.
The global predictive maintenance market was estimated to be USD 5,316.99 Mn million in 2021 and is expected to grow at a CAGR of 27.4 %, during the forecast period 2022 - 2028.
The List of Companies - Predictive Maintenance Market
- General Electric Company
- Hitachi, Ltd.
- IBM Corporation
- Microsoft Corporation
- PTC Inc.
- SAS Institute, Inc.
- Schneider Electric SE
- Software AG
- Syncron AB
- TOSL Engineering Limited
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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