When OEMs and product teams evaluate IoT connectivity providers, the conversation often centers around comparing two variables: coverage and price per gigabyte (PPG). Data is tangible and easily comparable, providing a straightforward metric for a buyer to find the cheapest plan. Especially now, when data is getting cheaper, device data consumption is climbing, and the pressure to keep per-unit costs down is escalating.
Though PPG is often the primary competitive lever in the MVNO marketplace, it’s not the most accurate. For many high-usage IoT deployments, including routers, cameras, digital signage, tablets, and fixed wireless solutions, evaluating connectivity decisions solely through a per-gig cost lens can obscure risks and hidden expenses that materially affect long-term profitability and scalability. The broader, all-encompassing Total Cost of Ownership (TCO) framework is a far more precise and strategic way of approaching connectivity costs.
In this article, we’ll explore how comparing plans by cost per GB is misleading, why TCO offers a more sustainable assessment framework, and the factors that affect your IoT business’s profit margins. We will also explore how a partnership with Zipit Wireless grants IoT OEMs access to to competitively priced high-data plans designed to perfectly meet their devices’ needs.
Why cost per GB became the default metric
Historically, IoT deployments had low-bandwidth needs: sensors transmitting megabytes of telemetry, smart meters sending periodic readings, and asset trackers reporting infrequently. In that context, price per megabyte was a rational and meaningful metric.
Today, the landscape has changed significantly. In many deployments, individual devices now consume multiple gigabytes per day. High-definition video, real-time analytics, edge processing, and remote management have transformed typical data profiles. Whereas a few years ago, 5GB in a single day would have been an outlier, it is now a baseline for some product categories.
This creates a data paradox: The cost per gigabyte is falling, while the total gigabytes consumed per device are increasing. However, operational costs are rising alongside data volume. When a device consumes 25GB per month instead of 5MB, minor inefficiencies in plan structure, billing processes, or carrier agreements can become financially significant. You may not even discover there is a problem until it’s expensive to fix. In such environments, selecting a provider solely on the lowest PPG may optimize one line item while increasing overall lifecycle costs.
What is the IoT deployment’s Total Cost of Ownership (TCO)?
The TCO framework goes beyond just looking at the cost per gigabyte. Instead of measuring just one input, it considers all factors that might affect the cost of deployment and operation. It considers the device's full lifecycle, not just a single variable.
The following factors can have a major impact on total cost and are not apparent in a price per gigabyte comparison:
1. Permanent roaming and compliance
A provider might offer very attractive per-gigabyte pricing, but if they don't have permanent roaming agreements or global native connectivity options in your deployment regions, your devices could face:
- Network deprioritization or throttling
- Sudden disconnections when carriers enforce roaming time limits
- Forced migration to local SIMs, requiring costly device recalls
- Regulatory penalties in markets with permanent roaming restrictions
Brazil, Turkey, India, and other major markets have either banned permanent roaming or implemented restrictions that prohibit large-scale deployments on roaming SIMs. Devices that seemed affordable based on PPG costs can become extremely expensive when you factor in compliance, raising the total cost of ownership.
2. Platform and operational capabilities
Paying for features can add up quickly. Does your connectivity provider offer:
- Unified carrier visibility: essential if your fleet spans multiple carriers or regions
- Zero-touch SIM activation and deactivation: without per-action fees that add up quietly at scale
- Real-time usage monitoring and alerting: to catch overages and anomalies before they become billing surprises
- API integration: to connect connectivity data with your existing billing and operations infrastructure
- Reporting: Analytics let you optimize device performance for better functionality
If not, you'll need to build or buy these capabilities separately. The cost of developing or licensing a connectivity management platform often exceeds the savings from selecting the lowest PPG rate.
3. Network infrastructure
It’s important to know what your infrastructure setup provides from the outset to avoid any unplanned overhead costs later. For example, there remains a common assumption that cellular connectivity is more expensive than alternatives such as Wi-Fi. If you’re comparing just on the rate per GB, this may appear true. When you consider the additional costs that come with using a private network, however, it’s not always the best option.
Cellular networks are deployed, maintained, and managed entirely by the carrier. Enterprises typically only pay for data access. Wi-Fi-reliant deployments, by contrast, require additional investment in gateways, access points, backhauls, or mesh networks—plus ongoing maintenance, security patching, and IT overhead. When IoT devices run on enterprise Wi-Fi that wasn’t designed or optimized for IoT traffic, you also absorb the performance degradation and support burden that come with it.
4. Security and reliability
Cellular networks also offer significantly more security and reliability than Wi-Fi networks. Wi-Fi is heavily dependent on user implementation, and device performance can fluctuate. Cellular networks are encrypted by default, protecting data from interception by malicious actors. Cellular networks are also private, and connections are inherently protected from other users on the network intercepting your device’s communications.
Furthermore, cellular networks come with the robust infrastructure extended by working with a massive global company. Issues are resolved quickly and with expertise, whereas WiFi-managed solutions require administrative interventions that may be less responsive and adept at troubleshooting.
Unsecured, unreliable device performance will increase your TCO over the lifetime of your IoT deployment, in addition to eroding customer trust and damaging brand loyalty.
5. Billing errors
An OEM might be paying for cost-effective data, but if it lacks billing capabilities, the OEM will be eating the fees. It’s because IoT devices require unique usage monitoring. For example, device usage can vary widely across a fleet, as devices sit idle, spike, activate, pause, and retire all on different schedules. Multiple carriers may be involved, each with its own billing cycle and data formats. This only gets more complicated as the fleet scales.
If you’re reconciling all of this manually, that labor cost will be a very real part of your TCO. When mistakes inevitably occur, the OEM will be the one to eat the discrepancies. Manual billing processes or fragmented systems create enormous operational overhead. You’ll notice margin erosion from the cost of data consumed by the end user.
A connectivity partner with integrated billing capabilities eliminates this complexity, but you won't see that value reflected in a simple PPG comparison.
6. Performance and feature access
Connectivity agreements do not all have the same privileges. A provider offering cheap data on deprioritized network access might deliver:
- Slower speeds during peak usage times
- Higher latency that impacts real-time applications
- Limited support for advanced features like network slicing or multi-IMSI
- Restriction from IoT-optimized power-saving modes like PSM/eDRX
For mission-critical deployments, these limitations can render the connectivity effectively useless, regardless of how affordable the base rate appears.
All of these factors combine to determine the actual cost of deployment. Not simply the cost for data, while overlooking additional operational fees.
Common problems when only using cost per GB to choose IoT data plans and connectivity partners
An attractive price for data today may be insufficient once a company scales. The issues arising from not having a comprehensive cost outlook often fall into two main categories:
The scaling trap
Many IoT deployments look efficient and cost-effective in early pilot phases. With 100 devices in the field, a capable team can handle manual processes and absorb inefficiencies like manual billing and unpredictable usage patterns. However, the scaling trap emerges when that same architecture is deployed across thousands or hundreds of thousands of devices.
What was previously an inconvenience is now a structural risk, as teams try to rectify hundreds of misconfigured SIMs, billing discrepancies with large ramifications on margins, and a support process designed for only a handful of devices. Operational cost issues get more pronounced in high-usage deployments, where data consumption variability can vary significantly across geographies, firmware versions, and user behavior. Without automated policy controls, real-time visibility, and scalable billing logic, the operational overhead required to manage the fleet grows faster than the fleet itself.
Total cost of ownership analysis must therefore evaluate not only whether a connectivity model works today, but whether it remains operationally and financially viable when device counts increase by an order of magnitude.
The roaming risk
If coverage appears available in a target market and the price per gigabyte is attractive, many OEMs assume the deployment will function as expected. However, connectivity and permanent roaming remain a major risk in global IoT deployments.
Regulators and mobile network operators increasingly enforce permanent roaming restrictions in certain regions. In these markets, roaming SIMs may be permitted only for temporary use. After a defined period, MNOs may throttle, deprioritize, or disconnect devices entirely. In other cases, carriers may impose commercial penalties or require migration to local network agreements. None of these risks are reflected in a per-GB price.
A provider may offer a lower PPG by relying on roaming-based agreements rather than native connectivity relationships. On paper, this appears cost-efficient. In practice, it introduces deployment instability that directly impacts the total cost of ownership. Using the TCO framework from the outset encourages OEMs not only to ask “What does this gigabyte cost?” but also “Do we have the right to permanently operate in this market without interruption?”
Factors to consider in TCO
Price per GB remains a useful metric, providing transparency and benchmarking. However, mature IoT deployments, especially those involving high data volumes and recurring revenue, require a broader framework. Total cost of ownership encompasses much more than the data rate. When evaluating connectivity partners, these are the factors that belong in the conversation:
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TCO Factor
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Why it matters
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Roaming and native coverage
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Devices in regulated markets risk mass disconnection without global coverage assurances
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Connectivity management platform
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Operational overhead and downtime costs eat away at PPG savings without proper tools
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Billing reconciliation infrastructure
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Manual processes become structurally expensive at scale, leading to margin erosion
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Truck roll frequency
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Physical interventions are expensive, limit expansion opportunities, and often preventable with remote management capabilities
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SKU proliferation
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More regional SIM variants mean higher production complexity, certification costs, and logistics overhead
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Static IP and specialized routing
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Required for certain use cases, often priced as expensive add-ons after the fact
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Network performance tier
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Deprioritized access can render connectivity unreliable at peak demand
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Outage recovery infrastructure
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Every hour of unplanned downtime carries financial and reputational costs
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How ZipIT can guide you through TCO decisions
Evaluating IoT connectivity through a total cost of ownership lens requires more than comparing rate cards. It requires understanding how carrier agreements, regulatory policies, billing infrastructure, network privileges, and operational tooling interact over the lifecycle of a deployment. A lot of connectivity decisions get made based on what a provider can offer in general, rather than what's right for a particular device, market, and business model.
ZipIt works the other way. Before we recommend a plan or SIM strategy, we want to understand your usage profile, target geographies, billing model, and where you're headed over the next few years, because the infrastructure decisions you make at launch have a long-term impact.
The goal is not simply to provide access to data networks for a low price per gigabyte. It is to ensure that your connectivity strategy aligns with business objectives and that you are getting the most cost-effective plan for all your operational needs. That means considering the costs that erode margins from day one, rather than discovering them when the fleet is already in the field and too large to restructure cheaply.
Contact us to learn how to assess your total cost of ownership and how ZipIt can help you choose the best deployment plan for your strategy.
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