Skip to main content

Connected car infotainment and telematics services to account for 98% of M2M data traffic by 2021

A new study from Juniper Research has found that new in-vehicle infotainment services such as Apple CarPlay and Android Auto will generate large amounts of new cellular M2M data traffic. Over the next five years, this will account for up to 98 per cent of all M2M data traffic. According to the new study, M2M: Strategies & Opportunities for MNOs, Service Providers & OEMs 2016-2021, data intensive applications such as Internet radio, music streaming applications and information services will generate appro
September 14, 2016 Read time: 2 mins
A new study from 7194 Juniper Research has found that new in-vehicle infotainment services such as Apple CarPlay and Android Auto will generate large amounts of new cellular M2M data traffic. Over the next five years, this will account for up to 98 per cent of all M2M data traffic.

According to the new study, M2M: Strategies & Opportunities for MNOs, Service Providers & OEMs 2016-2021, data intensive applications such as Internet radio, music streaming applications and information services will generate approximately 6,000 PB per annum by 2021, equivalent to over 300 billion hours of music streaming. In-vehicle 4G SIMs will provide ‘over-the-air’ service and subscription updates for drivers and passengers.

The research found that M2M technology will further the development of autonomous driving systems in the future. Cellular V2V (vehicle to vehicle) technology, enabled through M2M, is expected to be the cornerstone of the system over the coming years.

Consequently, the report stressed that operators will need to ensure that their networks remain able to cope with the projected increases in data traffic, especially in urban areas. Future smart city systems, such as smart parking and smart intersections, will further drive data usage and the potential strain on networks.

Meanwhile, the research found that other, less data-hungry M2M modules would see significant increases in adoption across an array of key verticals, including healthcare, agriculture, smart metering and smart home automation.

Research author Sam Barker added, “The wider M2M market offers a reprieve from declining traditional voice and messaging revenues. Operators are now champing at the bit to capitalise on the growth of M2M”. However, the research cautioned that for network operators to maximise their opportunity in the space, they will need to move away from merely providing connectivity and enablement, and additionally offer value added services to their customers.

Related Content

  • January 26, 2012
    What's next for traffic management and data collection?
    As the technologies and stakeholders in traffic management evolve, what can we expect to see happening in the coming years? For many, the conversation of the moment is just how, and how far, the newer technologies and services provided principally by the private sector should be allowed to intrude into the realms of traffic management.
  • March 16, 2023
    Connectivity is 'pivotal' for Qualcomm's next-gen Snapdragon system
    5G platform offers low latency and integrated C-V2X technology to support safety
  • May 27, 2016
    Smart parking system market to reach US$368.7 million by 2024
    The global smart parking system market size is expected to reach US$368.7 million by 2024 according to a new study by Grand View Research, Inc. Favourable government initiatives and increasing public sector funding will favour the growth and adoption of smart parking system for the forecast period. The industry is anticipated to witness an upsurge in demand for smart parking systems in transport transit and commercial applications segment, and it is subsequently expected to impel the growth in the industry.
  • December 15, 2016
    Self-learning AI poised to disrupt automotive industry
    Self-learning artificial intelligence (AI) in cars is the key to unlocking the capabilities of autonomous cars and enhancing value to end users through virtual assistance, according to Frost & Sullivan. It offers original equipment manufacturers (OEMs) fresh revenue streams through licensing, partnerships and new mobility services. Simultaneously, the use-case scenarios of self-learning AI in cars are drawing several technology companies, Internet of Things (IoT) companies and mobility service providers to