Operational Predictive Maintenance Market Report 2026

Operational Predictive Maintenance Market Overview

• Operational Predictive Maintenance market size has reached to $9.19 billion in 2025 • Expected to grow to $29.41 billion in 2030 at a compound annual growth rate (CAGR) of 26.2% • Growth Driver: Increasing Number Of IoT Devices Propels Operational Predictive Maintenance Market • Market Trend: Proactive Solutions: Hitachi’s New Service Aims to Minimize Downtime in Air Compressors • North America was the largest region in 2025.

What Is Covered Under Operational Predictive Maintenance Market?

Operational predictive maintenance (OPM) refers to a proactive maintenance strategy that utilizes data analytics, machine learning, and predictive modeling techniques to anticipate equipment failures or maintenance needs before they occur. The goal of OPM is to minimize downtime, reduce maintenance costs, and optimize the efficiency and reliability of equipment and processes. The main types of operational predictive maintenance are software and services. Software refers to a collection of programs, instructions, and data that enable computers and other electronic devices to perform specific tasks, functions, or operations. It can be deployed in the cloud or on-premise and uses different technologies such as machine learning, deep learning, big data, and analytics. It is used by various end users, including public sector, automotive, manufacturing, healthcare, energy and utility, transportation, and others.

What Is The Operational Predictive Maintenance Market Growth Forecast?

The operational predictive maintenance market size is expected to see exponential growth in the next few years. It will grow to $29.41 billion in 2030 at a compound annual growth rate (CAGR) of 26.2%. The growth in the forecast period can be attributed to increasing use of AI and ml for maintenance, adoption of cloud-based predictive platforms, integration with iot-enabled devices, demand for cost optimization in operations, focus on minimizing unplanned downtime. Major trends in the forecast period include predictive analytics implementation, machine learning-based maintenance, real-time equipment monitoring, asset performance optimization, integration with enterprise systems.

Global Operational Predictive Maintenance Market Segmentation

1) By Type: Software, Services 2) By Deployment Model: Cloud, On-Premise 3) By Technology: Machine Learning, Deep Learning, Big Data And Analytics 4) By End User: Public Sector, Automotive, Manufacturing, Healthcare, Energy And Utility, Transportation, Other End Users Subsegments: 1) By Software: Predictive Analytics Software, Machine Learning Software, Data Integration Tools, Asset Management Software, Real-Time Monitoring Software 2) By Services: Implementation Services, Consulting Services, Training and Support Services, Maintenance and Upgrades, Managed Services

What Is The Driver Of The Operational Predictive Maintenance Market?

The increasing number of IoT (Internet of Things) devices is expected to propel the growth of the operational predictive maintenance market going forward. IoT devices refer to nonstandard computing hardware such as sensors, actuators, or appliances that connect wirelessly to a network and can transmit data. It arises because of the widespread availability of high-speed internet connectivity, increasing industrial automation and supply chain management, and data analytics capabilities. IoT devices play a critical role in operational predictive maintenance by enabling real-time monitoring, data analytics, early issue detection, condition-based maintenance, predictive insights, and continuous improvement, ultimately assisting organizations in optimizing asset performance, lowering costs, and increasing operating efficiency. For instance, according to the GSM Association, a UK-based non-profit industry organization, the global IoT connections are expected to surge to 23.3 billion by 2025, an increase from the 15.1 billion connections recorded in 2021. Therefore, the increasing number of IoT devices drives the operational predictive maintenance industry.

Key Players In The Global Operational Predictive Maintenance Market

Major companies operating in the operational predictive maintenance market are Google LLC; Microsoft Corporation; Robert Bosch GmbH; Hitachi Ltd.; Amazon Web Services Inc.; The International Business Machines Corporation; General Electric Company; Schneider Electric SE; SAP SE; Svenska Kullagerfabriken AB; Rockwell Automation Inc.; SAS Institute Inc.; Micro Focus; Splunk Inc.; PTC Inc.; Software AG; TIBCO Software Inc.; C3.AI Inc; Softweb Solutions Inc; Fiix Software; Uptake Technologies Inc.; eMaint Enterprises LLC; Seebo Interactive Ltd.; Asystom; Ecolibrium Energy

Global Operational Predictive Maintenance Market Trends and Insights

Major companies in the operational predictive maintenance market are focusing on technological advancements, such as AI-driven analytics and real-time monitoring, to enhance equipment reliability and efficiency, helping businesses proactively address maintenance needs and minimize operational disruptions. Machine learning analyses sensor data to identify patterns that indicate potential issues, enabling proactive maintenance to optimize performance and prevent failures. For instance, in June 2024, Hitachi Industrial Equipment Systems Co., Ltd., a Japan-based company that manufactures and sells industrial equipment and components, launched the 'Predictive Diagnosis Service' for air compressors, using machine learning and remote monitoring to detect and prevent potential issues. This service combines real-time data with maintenance expertise to enhance operational efficiency, minimize downtime, and reduce environmental impact.

What Are Latest Mergers And Acquisitions In The Operational Predictive Maintenance Market?

In March 2023, Schaeffler Group, a Germany-based automotive industry company, acquired ECO-Adapt SAS for an undisclosed amount. This acquisition aims to strengthen Schaeffler’s position in the growing predictive maintenance market, expand its service offerings, and contribute to a more sustainable future for its customers. ECO-Adapt SAS is a France-based company specializing in energy monitoring and predictive maintenance services.

Regional Insights

North America was the largest region in the operational predictive maintenance market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

What Defines the Operational Predictive Maintenance Market?

The operational predictive maintenance market includes revenues earned by entities by providing services such as data analytics and modeling, predictive maintenance modeling, condition monitoring, failure prediction and diagnostics, performance monitoring and optimization, and training and support. 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.

How is Market Value Defined and Measured?

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.

What Key Data and Analysis Are Included in the Operational Predictive Maintenance Market Report 2026?

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