The global asset performance management market size is estimated to reach USD 24,401.62 million by 2025, exhibiting a CAGR of 9.15% from 2019 to 2025, according to the new report by Grand View Research, Inc. The growing adoption of dedicated systems for managing the performance of assets to achieve operational excellence is expected to fuel the market growth. Managing the performance of assets can help companies in optimizing the usage and maintenance of their operational assets, such as plants, equipment, and infrastructure. Some of the assets that are actively monitored by companies using dedicated systems include heavy machinery, heavy equipment, turbine engines, and power transformers.
A system deployed for managing the performance of assets typically includes various solutions, such as asset strategy and risk management, predictive asset management, reliability-centered maintenance, and condition-based maintenance, among others. Incumbents of various end-use industries, including energy & utilities, mining & metal, oil & gas, and manufacturing, utilize these solutions depending on their needs and preferences.
The energy & utilities segment held the largest asset performance management (APM) market share in 2018 owing to a large number of energy & utility companies that are actively investing in systems to manage the performance of their assets. For instance, Tata Power of India is leveraging AVEVA Group plc’s PRiSM Predictive Asset Analytics for avoiding failures of assets and reducing equipment downtime. The system has benefitted Tata Power in the form of higher reliability and enhanced performance of critical assets. Additionally, predictive analysis enabled by the system has also helped the company in controlling maintenance costs.
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Companies having a high degree of reliance on the capability of their assets have to often confront unplanned downtimes stemming from failures of assets, ineffective data gathering approaches while monitoring assets, hardships in realizing operational capabilities of assets, inability to determine unforeseeable risks, and ineffective maintenance scheduling, which can potentially impact their profits goals. Managing the performance of assets can help such companies is reducing the instances of unplanned downtimes. Cloud-based systems for managing the performance of assets are particularly allowing companies to manage their assets cost-effectively
Further key findings from the report suggest:
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Key Topics Covered
Chapter 1 Methodology and Scope 1.1 Research Methodology 1.2 Research Scope and Assumptions 1.3 List of Data Sources Chapter 2 Executive Summary 2.1 Asset Performance Management – Industry Snapshot & Key Buying Criteria, 2014 -2025 Chapter 3 Market Variables, Trends & Scope 3.1 Market Segmentation and Scope 3.2 Asset Performance Management Market Size and Growth Prospects 3.3 Asset Performance Management – Value Chain Analysis 3.4 Market Dynamics 3.4.1 Market driver analysis 3.4.1.1 Integration of asset performance management with complementary technologies for more efficient use cases 3.4.1.2 The growing adoption of cloud-based asset performance management and increasing data security 3.4.1.3 The rapid industrial shift towards digitization of asset monitoring and maintenance activities 3.4.2 Market restraint analysis 3.4.2.1 High prices of asset performance management systems due to complex ……….continue
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About Grand View Research Grand View Research provides syndicated as well as customized research reports and consulting services on 46 industries across 25 major countries worldwide. This U.S.-based market research and consulting company is registered in California and headquartered in San Francisco. Comprising over 425 analysts and consultants, the company adds 1200+ market research reports to its extensive database each year. Supported by an interactive market intelligence platform, the team at Grand View Research guides Fortune 500 companies and prominent academic institutes in comprehending the global and regional business environment and carefully identifying future opportunities.
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