The Internet of Things (IoT) is producing a massive amount of data that can transform the rental industry. Organizations may work more efficiently, better understand their processes, and gain more profits by utilizing these data. The application of analytical tools makes IoT data more potent for business flourishment. The insights obtained from these analyses can be used for predictive analysis, ensuring that maintenance is completed before the occurrence of a defect. Companies can forecast when equipment needs to be maintained through data analysis, revolutionizing asset management. Maintenance is usually dictated by time or use. To ensure that equipment is in good working order, rental businesses adhere to the OEM's maintenance schedules. However, if companies can predict when equipment needs to be serviced, they may save money on wasteful early maintenance, thereby enhancing usage and attaining greater overall efficiency. Thus, the use of IoT and predictive analytics is likely to emerge as a significant trend in the equipment rental software market by complementing its growth.
With the new features and technologies, vendors can attract new customers and expand their footprints in emerging markets. This factor is likely to drive the SAM equipment rental software market. The SAM equipment rental software market is expected to grow at a good CAGR during the forecast period.
The SAM equipment rental software market is segmented based on component, deployment, organization size, end users, and country. Based on component, the SAM equipment rental software market is segmented into software and services. The software segment dominated the market in 2020 and services segment is expected to be fastest growing during forecast period. Based on deployment, the SAM equipment rental software market is segmented into on-premise and cloud-based. The cloud-based segment dominated the market in 2020 and same segment is expected to be fastest growing during forecast period. Based on organization size, the SAM equipment rental software market is segmented into SMEs and large enterprises. The large enterprises segment dominated the market in 2020 and SMEs segment is expected to be fastest growing during forecast period. Based on end user, the SAM equipment rental software market is segmented into manufacturing, construction, transportation, and others. The construction segment dominated the market in 2020 and same segment is expected to be fastest growing during forecast period. Based on country, the SAM equipment rental software market is segmented into Brazil, Argentina, and the Rest of SAM.
Booqable.com; EZRentOut; HQ Rental Software; inspHire Ltd; MCS Global Ltd; Orion Software Inc.; and Point of Rental are among the leading companies operating in the SAM equipment rental software market.