Embedded SIM cards to increasingly dominate the M2M space
A new study from Juniper Research (www.juniperresearch.com) has found that embedded SIM cards will increasingly dominate the M2M (Machine to Machine) space, accounting for more than 50% of connections by the end of the decade.
New Opportunities & Business Models
According to the new study, the introduction of the GSMA’s embedded specification is likely to fuel the opportunity for service providers to offer remote provisioning of SIM cards. The study claimed that this in turn would greatly enhance the capabilities of service providers to update and augment offerings and subscriptions.
Additionally, Juniper Research says that migration to OTA (Over The Air) provisioning would facilitate a range of new business models, potentially increasing the lifetime value of M2M subscription while also reducing costs. The report highlighted the increased benefits that embedded SIMs would offer to customers across an array of verticals, as remote provisioning would oblige operators to compete on pricing, functionality and customization capabilities.
Juniper Research says the reduced cost and flexibility afforded by embedded technology could be instrumental in increasing take-up in key verticals such as agriculture within developing markets.
“By making M2M affordable, the introduction of the embedded model can in turn allow farmers in regions such as sub-Saharan Africa and developing Asia to increase their yield, boosting crop production and helping to address the rising demand for food,” said research author Sam Barker.
Other key findings from the Juniper Research study:
° Smart metering and connected car connections will comprise the majority of all cellular M2M embedded connections over the next five years.
° 3G connections will comprise half of all cellular M2M connections in 2021, due to the need for an affordable and low speed service.
° Network operators should capitalize the growth of M2M by offering customizable M2M platforms that offer a variety of simple billing models.