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Asset Performance Management Market Size Highlights the Future of Maintenance | Forecast to Hit USD 7.52 Billion by 2027

09-27-2023 10:37 AM CET | IT, New Media & Software

Press release from: Allied Market Research

Asset Performance Management Market

Asset Performance Management Market

The global asset performance management market size was valued at $3,463 million in 2019, and is projected to reach at $7,529 million by 2027, growing at a CAGR of 10.3% from 2020 to 2027.

The growth of the asset performance management market is driven by number of factors such as increasing need to generate maximum economical return on the assets and growing need for the maintenance of assets on basis of risk driving the asset performance management market growth. Moreover, factors such as emerging use of cloud-based APM software among the end users, further boosts the growth of the market globally.

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However, lack of knowledge while selecting the solution that perfectly match with enterprise business and less awareness about cyber security restrain the growth of the asset performance management solution market globally. Furthermore, the emergence of technology such as industrial internet of things (IIoT) and increasing demand of big data analytics in the industrial vertical will create lucrative opportunity in the asset performance management market globally.

In 2019, the global asset performance management market share was dominated by the large enterprises and is expected to maintain this trend during the forecast period, due to presence of heavy machinery and large amount of data generated by these machineries time to time while it is in running condition is very important for large scale enterprises. . In addition to this, surge in investments in asset performance management by large enterprises is expected to fuel growth of the market. However, the small & medium sized enterprise are expected to witness the highest growth owing to growing focus towards asset performance and rise in awareness about the befits of maintenance of machinery by analyzing real-time data of assets across SMEs.

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APM is increasingly adopting predictive maintenance practices powered by artificial intelligence (AI). This trend involves using sensor data, IoT devices, and machine learning algorithms to predict equipment failures before they occur. By moving from reactive to proactive maintenance, organizations can reduce downtime, lower maintenance costs, and extend the lifespan of critical assets.

The adoption of digital twins is on the rise in the APM space. Digital twins are virtual replicas of physical assets or systems, enabling real-time monitoring, analysis, and simulation of asset performance. This trend allows organizations to gain deep insights into asset behavior, optimize operations, and make informed decisions regarding maintenance and upgrades.

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The integration of IoT devices for remote monitoring is revolutionizing APM. IoT sensors provide real-time data on asset health and performance, regardless of location. This trend is particularly valuable for industries with distributed assets, such as energy, manufacturing, and utilities, as it enables continuous monitoring and rapid response to issues, leading to improved asset uptime and efficiency.

Some of the key asset performance management industry players profiled in the report include ABB Group, Aveva Inc., Bentley System, GE digital, IBM Corporation, Infor Inc., Oracle Corporation, SAP SE, SAS Institute Inc. and Siemens AG. This study includes market trends, asset performance management market analysis, and future estimations to determine the imminent investment pockets.

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