The global asset management market size is expected to reach USD 1,292.17 billion by 2027, according to a new study conducted by Grand View Research, Inc. The market is anticipated to register a CAGR of 25.9% from 2020 to 2027. The factors driving the growth include the increasing need to reduce the downtime of equipment and ensure optimum utilization of the available resources. Advances in the latest technologies, such as Artificial Intelligence (AI), Internet of Things (IoT), and infrastructure automation, coupled with the continued integration of analytical and business intelligence tools in asset management solutions are also expected to drive the market growth. The growing awareness about the advantages of IoT-based asset management solutions particularly bodes well for the growth of the market.
The adoption of asset management solutions is rising amid the growing concerns among enterprises about the appropriate maintenance of assets and reduction in the overall operational costs. The integration of analytical solutions, such as predictive analytics, with asset management solutions, is particularly helping organizations in predicting asset failures and subsequently decreasing the overall downtime costs. Apart from eliminating the causes of failure, reducing the downtime, and curtailing the repair costs; predictive asset management solutions can also employ non-intrusive testing techniques for determining the asset performance trends. Predictive analytics and maintenance solutions can be deployed easily in several industries and industry verticals, including aerospace, manufacturing, healthcare, processing, and automotive.
Market players are engaging in technology partnerships and collaborations for developing advanced asset management solutions and rolling out asset management services for their customers. For instance, in May 2020, Maikubo Artificial Intelligence (AI) Academy adopted the RFID solution offered by Zebra Technologies Corporation for efficient and accurate asset management and tagging of training equipment. The RFID solution has enhanced the efficiency of the staff while saving time and improving visibility.
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