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Transforming the Operational Predictive Maintenance Market in 2025: Increasing Number Of IoT Devices Propels Operational Predictive Maintenance Market
What Is the Expected Size and Growth Rate of the Operational Predictive Maintenance Market?The operational predictive maintenance market has seen significant growth in recent years. It will rise from $7.31 billion in 2024 to $9.24 billion in 2025, at a CAGR of 26.4%. This growth is attributed to cost savings from reduced downtime and maintenance, improved asset reliability, enhanced safety and risk mitigation, regulatory compliance requirements, and increasing awareness of predictive maintenance benefits.
The operational predictive maintenance market is expected to experience exponential growth, reaching $23.57 billion by 2029 at a CAGR of 26.4%. This growth is driven by the expansion into new industries, the demand for proactive maintenance, market penetration in emerging economies, predictive maintenance adoption, and sustainability initiatives. Trends include IoT sensors and data analytics integration, machine learning algorithms, cloud platforms, and integration with asset management systems.
What Factors Are Fueling Growth in the Operational Predictive Maintenance Market?
The increasing proliferation of IoT (Internet of Things) devices is set to propel the operational predictive maintenance market forward. IoT devices, such as sensors and actuators, connect wirelessly to networks and transmit data, playing a crucial role in real-time monitoring, predictive analytics, and condition-based maintenance. The widespread availability of high-speed internet, advancements in industrial automation, and improvements in data analytics have contributed to the growing adoption of IoT for predictive maintenance, enhancing asset performance, reducing costs, and improving operational efficiency. For example, the GSM Association, a UK-based industry organization, projected that global IoT connections would rise from 15.1 billion in 2021 to 23.3 billion by 2025. Therefore, the increasing number of IoT devices is accelerating the growth of the operational predictive maintenance market.
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Which Leading Companies Are Shaping the Growth of the 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
What Are the Major Trends Shaping the Operational Predictive Maintenance Market?
Leading companies in the operational predictive maintenance market are leveraging AI-driven analytics and real-time monitoring to enhance equipment reliability, enabling businesses to proactively manage maintenance and prevent disruptions. Machine-learning models analyze sensor data to detect patterns that may indicate potential failures, allowing for timely interventions. For instance, in June 2024, Hitachi Industrial Equipment Systems Co., Ltd., a Japan-based industrial equipment manufacturer, launched the "Predictive Diagnosis Service" for air compressors. This AI-powered solution uses machine learning and remote monitoring to detect and mitigate potential malfunctions. By combining real-time data with maintenance expertise, the service enhances operational efficiency, minimizes downtime, and reduces environmental impact.
What Are the Key Segments of the Operational Predictive Maintenance Market?
The operational predictive maintenance market covered in this report is segmented -
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
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Which Region Dominates the Operational Predictive Maintenance Market?
North America was the largest region in the operational predictive maintenance market in 2024. The regions covered in the operational predictive maintenance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Is Covered In The Operational Predictive Maintenance Global Market Report?
- Market Size Analysis: Analyze the Operational Predictive Maintenance Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Operational Predictive Maintenance Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Operational Predictive Maintenance Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Operational Predictive Maintenance Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.
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