The Internet of Things (IoT) generates a massive amount of data that can transform the rental industry. Organizations can work more efficiently, better understand their processes, and gain more profits by using this data. The use of analytical tools makes IoT data more potent for business flourishment. The insights obtained from these tools are used for predictive analysis, ensuring that maintenance is completed before the occurrence of any defects. Companies can predict when equipment requires maintenance through data analysis and revolutionizing asset management. Maintenance is usually dictated by time or use. Rental businesses adhere to the OEM's maintenance schedules to ensure that equipment operates efficiently. 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.
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 MEA equipment rental software market. The MEA equipment rental software market is expected to grow at a good CAGR during the forecast period.
The MEA equipment rental software market is segmented based on component, deployment, organization size, end users, and country. Based on component, the MEA 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 MEA 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 MEA 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 MEA 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 MEA equipment rental software market is segmented into the UAE, Saudi Arabia, South Africa, and the Rest of MEA.
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 MEA equipment rental software market.