If you follow the telecommunications industry or consider yourself technology-aware, you’re likely familiar with the Internet of Things (IoT) use cases enabled by 5G NR (New Radio) technology. While IoT isn’t new to the telecommunications industry, 5G has the capability to elevate it to the next level in terms of use cases and resulting business opportunities.
While IoT represents a significant portion of the 5G opportunity, it doesn’t tell the complete story. When industry experts identify IoT as the primary business case driver for 5G, they’re highlighting a genuine market reality. However, deeper analysis reveals that while IoT justifies substantial long-term investment in 5G infrastructure, it functions as one of several critical pillars that define how mobile operators and network vendors expect to generate revenue.
Let’s first understand the relationship between IoT and mobile communications before exploring how IoT fits within the broader 5G ecosystem.
Where Did IoT Really Come From – And How Did It End Up in 5G?
While the term IoT is used extensively in mobile communications discussions, the IoT story didn’t originate within the mobile communications industry. Understanding this evolution explains why 5G adopted its service-driven architectural approach.
The foundation of IoT began with Machine-to-Machine (M2M) communication, which started decades before the modern IoT we know today. M2M represented the first generation of connected devices: simple, closed systems designed for specific applications such as remote telemetry, industrial monitoring, and automated control processes. These implementations operated independently of mobile networks or Wi-Fi infrastructure. Instead, they relied on dial-up modems, leased lines, serial communication protocols like RS-232, or dedicated short-range radio systems. The architecture was primarily point-to-point, purpose-built for individual applications, and utilised either wired connections or proprietary wireless technologies.
IoT emerged as both a conceptual and technical evolution beyond M2M capabilities. It moved away from closed-system architectures and point-to-point communication models, embracing IP networking, cloud integration, and multi-point communication capabilities. The new approach connected billions of low-cost devices through internet infrastructure. While M2M functioned like an industrial “intranet” for connected devices, IoT became the equivalent of a public internet: open, scalable, and designed for global deployment.
Early IoT implementations operated successfully without mobile network infrastructure. Applications ran effectively on technologies like Wi-Fi, Bluetooth, Zigbee, and later on Low Power Wide Area Networks (LPWAN) including LoRaWAN and Sigfox. These technologies offered cost advantages, better compatibility with low-power or short-range requirements, and eliminated dependence on licensed spectrum. Mobile networks were not part of the IoT picture during this period.
The landscape shifted when mobile networks began adapting for M2M and IoT applications. Initial deployments utilised 2G and 3G networks to connect devices such as vending machines and vehicle tracking systems through GPRS and similar protocols. However, these networks were optimised for human users, supporting voice communications and data browsing rather than battery-powered sensors transmitting small data packets at infrequent intervals. While these solutions worked from a functional perspective, they were not particularly efficient for IoT requirements.
The 3GPP organisation recognised this gap and implemented strategic changes. Starting with LTE Release 13, they introduced Narrowband IoT (NB-IoT) and LTE for Machines (LTE-M) as standards specifically engineered for low-power, low-data, wide-area IoT applications. This development marked the emergence of Cellular IoT: an IoT variant designed to integrate effectively with mobile network infrastructure.
What new value does 5G add then? 5G represents the culmination of this mobile network integration process. 5G NR network infrastructure is highly flexible because it can work with a broad range of licensed and unlicensed frequencies, high and low speed data requirements, and high and low powered device support to enable a vast range of IoT devices and resulting use cases.
Why IoT Remains Central to 5G Discussions
5G networks weren’t designed simply to provide faster mobile connectivity. While TV commercials from mobile operators often focus on high-speed internet because that’s the more relatable human use case, the 5G network architecture was developed around three fundamental service categories: enhanced mobile broadband (eMBB), ultra-reliable low-latency communication (URLLC), and massive machine-type communication (mMTC). The latter two categories, URLLC and mMTC, create the foundation for IoT applications that 5G can deliver at commercial scale. When you consider this structure, two out of three use case categories serve machines, with only one directly targeting humans. Of course, the machine use cases ultimately support human needs as well.
mMTC enables ultra-dense, low-power, cost-effective connectivity. This supports millions of sensors across smart cities, agricultural systems, and logistics networks. URLLC addresses mission-critical applications including autonomous vehicles, industrial robotics, and real-time health monitoring systems where reliability and minimal latency determine operational success or failure.
These capabilities position IoT as more than just another use case. They establish IoT as a fundamental reason for 5G’s current architectural design choices and technical specifications.
The Broader Commercial Landscape for 5G
When it comes to business opportunities, the simplest use cases often generate revenue the fastest. While IoT may represent the most transformative long-term business opportunity, 5G revenue generation relies on multiple immediate and near-term applications:
Enhanced Mobile Broadband (eMBB) continues as the most recognisable 5G application, supporting improved streaming quality, faster download speeds, immersive experiences, and cloud gaming. Consumer revenue still flows primarily through this channel, where mobile operators focus their upselling efforts. This remains the easiest application to market because it appeals directly to individuals.
Fixed Wireless Access (FWA) delivers residential broadband through 5G networks, particularly valuable in underserved markets. Several regions already monetise FWA services, making this potentially 5G’s most practical near-term commercial application.
Private Networks allow enterprise customers to deploy dedicated 5G infrastructure across campuses, manufacturing facilities, ports, and mining operations. This extends far beyond IoT connectivity into comprehensive operational control, security, and process optimisation.
Network Slicing creates virtual, customised networks for specific requirements. A manufacturing facility might use one slice for industrial IoT sensors, another for employee communications, and a third for high-bandwidth data processing.
Edge Computing relocates processing capabilities closer to end devices, reducing latency for automation systems, augmented reality applications, and data-intensive industrial processes.
IoT remains central to this ecosystem, but it operates within a comprehensive framework of enterprise monetisation strategies.
IoT as a Driver of Network Architecture
IoT receives significant attention because it fundamentally changes network design philosophy. Previous mobile network generations developed network infrastructure first, then identified suitable applications. 5G reverses this approach, moving away from one-size-fits-all solutions.
Smart manufacturing facilities, connected vehicle systems, and energy-efficient urban infrastructure don’t simply utilise existing network capabilities. These applications determine architectural requirements, influencing radio network design, network slicing implementation, edge computing deployment, and service level agreement (SLA) structures.
This shift means business requirements now drive network design decisions rather than the other way around. When mobile operators commit to ultra-reliable remote surgical procedures or real-time predictive maintenance systems, they’re building use case-driven service platforms rather than traditional network infrastructure.
Business Strategy as a Technical Requirement
5G introduces technical complexity that only becomes commercially viable when connected to specific revenue opportunities. URLLC, mMTC, network slicing, and edge computing capabilities require substantial investment, but they generate returns only when customers have concrete use cases justifying the costs.
Modern monetisation models depend on several factors: understanding specific enterprise challenges, developing industry-focused services, and implementing pricing structures based on outcomes, service level agreements, and long-term value creation rather than simple mobile internet consumption metrics.
Network operators cannot deploy URLLC capabilities simply because technical specifications include them. These capabilities require deployment when manufacturing customers present business cases that justify the investment. This represents a fundamental shift in telecommunications business thinking.
Evaluating IoT’s Role in 5G Business Cases
IoT represents a major part of the 5G business case, but it’s not the only one. It receives significant attention because it spans multiple industries and demonstrates 5G’s distinctive capabilities compared to previous network generations.
5G isn’t tied to a single business case, it’s a commercial framework built to unlock revenue across multiple channels. IoT is one of the most versatile tools within that framework, as long as it’s backed by solid business strategy from the start.
For professionals working with 5G, whether in product, strategy, or technical delivery, business case skills are no longer optional. It’s not enough to understand architectures or quote financial metrics. Real impact comes from connecting complex solutions to business value. The industry isn’t just selling network capacity anymore, it’s selling outcomes that matter.
That’s exactly why I created the Business Case Builder and Business Case Fundamentals courses, to walk you through building a real business case for complex technologies, using a relatable small cell example. You’ll get practical templates, clear frameworks, and a complete process you can start using right away. If you work in product, strategy, or tech, these skills will set you apart as someone who can turn innovation into real business results, and that’s what gets noticed in today’s market.
