Skip to main content

M2M and IoT Enable New Data Intensive Applications

During the last couple of years, machine-to-machine (M2M) technology has become an integral part of the services offered by global telecom providers and a significant revenue stream for M2M app specialists. They've already developed comprehensive offerings, designed to reduce costs and increase efficiency.

Meanwhile, the associated business models are beginning to account for new use case concepts and application developments; one of the latest to gain significant traction being the Internet of Things (IoT).

M2M refers to the wireless communications fabric between multiple devices. M2M is a supporting infrastructure for the IoT. M2M performs the connections, and provides the device interfaces, allowing data to be transferred between machines over wireless networks.

M2M Market Development

According to the latest worldwide market study by Juniper Research, 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, these apps will account for up to 98 percent of all M2M data traffic.

Data intensive applications, such as Internet radio, music streaming and information services, will generate approximately 6,000 PB per year by 2021 -- that's the equivalent to over 300 billion hours of music streaming. Moreover, in-vehicle 4G SIMs will provide over-the-air service and subscription updates for drivers and passengers.


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

Consequently, 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 mobile networks.

Outlook for M2M Vertical Apps

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.

"The wider M2M market offers a reprieve from declining traditional voice and messaging revenues. Mobile network operators are now champing at the bit to capitalize on the growth of M2M," said Sam Barker, senior analyst at Juniper Research.

However, for network operators to maximize their opportunity in this emerging market, they'll need to evolve beyond merely providing device connectivity, and additionally offer value-added services to their M2M and IoT service customers.

Popular posts from this blog

When AI Spending Reaches $3.6 Trillion

Enterprise AI budgets are flowing in two directions at once, and only one of them builds an asset the buyer actually controls. Gartner's latest forecast puts worldwide AI spending at $2.7 trillion in 2026, but the composition of that figure matters far more than the total. Executives who read only the headline will miss the tension between what they are buying and what they actually own. The Number Behind the Number Gartner projects 2026 AI spending is a 49.5 percent increase over 2025, with $3.6 trillion forecast for 2027. AI infrastructure accounts for $1.5 trillion of this year's total, more than half. Gartner's John-David Lovelock calls the data center buildout the largest infrastructure project humanity has undertaken, and describes demand as inelastic even as memory prices climb. Compute Concentration is a Sovereignty Issue Gartner expects hyperscalers and service providers buying AI-optimized servers to remain the largest single area of spending. For an enterprise, t...