DePIN projects in 2027 will have to prove more than their ability to distribute devices. A decentralized physical infrastructure network can rely on antennas, cameras, sensors or other resources installed by participants. Its value depends on the useful service delivered and on customers willing to pay for it—not simply on the number of connected devices.
Helium, Hivemapper and DIMO offer three different use cases for comparison: transmitting data, producing maps and using vehicle information with permissions. Their tokens do not grant the same rights. For HNT, HONEY and DIMO, the key is to track the flow from customer spending to operator rewards and changes in supply.
In brief
- Advertised coverage, collected data and consumed services are three separate metrics.
- Rewards can help build infrastructure without proving that it already has profitable customers.
- An operator’s real costs include hardware, connectivity, maintenance, permissions and working time.
DePIN projects in 2027: start with the customer
The BrefCrypto glossary helps distinguish between a token, a network and an application. This separation matters for DePIN: a token holder does not necessarily own the equipment or automatically receive the income generated by those operating it. Likewise, buying a camera does not guarantee enough compensation to cover the cost of the device.
The first question should concern the customer. What problem does the network solve: connecting an object where coverage is lacking, detecting a changed road, or providing authorized information about a vehicle? Then consider what that customer would buy without a token. If a traditional provider can deliver the same result, the comparison must include reliability, coverage, integration and total cost. A decentralized model is an organizational approach, not proof of competitiveness.
| Network | Resource deployed | Economic proof being sought |
|---|---|---|
| Helium | Coverage and data transmission | Usage that is actually billed, distinct from installation activity |
| Hivemapper | Images and map updates | Useful data purchased, update frequency and recurring customers |
| DIMO | Vehicle information and access permissions | Services built on authorized data with verifiable demand |
A hypothetical example highlights the difference between installation and usage. One hundred antennas placed in the same location may generate less value than a handful installed in an area where a customer has demand. A well-designed rewards system should encourage useful resources, without allowing participants to receive the same payments by simulating their contribution. For analysts, the equipment map must therefore be compared with the map of actual needs.
Helium: distinguishing purchased credits from transmitted data
Helium’s Data Credits documentation explains that these credits are used to pay for network usage, as well as for certain operations such as onboarding a hotspot. Not all credits consumed necessarily represent recurring demand for transmission. A wave of installations can increase the total without proving that the new devices subsequently carry significant amounts of customer data.
Converting HNT into credits creates another gap. Helium’s token mechanics link HNT to credits intended for network use. A customer or intermediary may purchase a budget in advance. The burn associated with that conversion does not necessarily correspond to traffic consumed on the same day. Compare top-ups, usage and emissions over consistent periods.
For an antenna operator, results also depend on location, hardware and connection quality. The presence of other equipment can affect the value of the coverage provided. A profitability calculation should include internet access, power, repairs and maintenance time. As with crypto mining, gross token revenue is not the final margin.
A favorable scenario for 2027 would combine growing paid usage with useful coverage maintained despite a relative decline in subsidies. A more fragile scenario would make installations dependent on compensation funded mainly by issuance. In both cases, the amount of HNT needed to purchase a budget varies with the token’s price: a service sold at a stable value does not burn a fixed number of tokens.
Hivemapper: a map must remain useful and up to date
Hivemapper’s documentation describes the collection and use of mapping data. For customers, accumulating miles of imagery is not enough: they need the right locations, usable quality and updates suited to their requirements. A road filmed one hundred times may be less valuable than a recent change correctly identified on a poorly documented route.
Contributor compensation must therefore be assessed alongside quality, coverage and saturation rules. Before buying equipment, check the model’s compatibility, the policy applicable to the locations you travel through and the conditions required for the data to count. An estimate based on the best contributor in another region does not describe your daily route or operating costs.
For HONEY, look for data purchases and their actual economic impact rather than simply counting participants. Prepaid credits, commercial programs and incentives may follow different schedules. You also need to know whether the customer renews its purchase after a trial. The technical quality of a collection does not prove that integrating it into the customer’s tools costs less than the alternative.
A useful test is to examine a specific case: how much does it cost to update a defined area, within what timeframe and with what level of reliability? The customer may need data that is not covered by the most visible public metric. Flag this limitation if detailed commercial volumes are unavailable. Transparency about part of the network does not make its entire economics public.
DIMO: permissions are part of the product
The DIMO developer platform documents access to vehicle information, permission management and tools for building services. This example shows why “collecting more data” is not a sufficient objective. A service must be able to request the right access, respect user choices and present information suited to the vehicle and its use.
The rights granted and the conditions for revoking them deserve close attention. Information that can be used by an application should not be treated as unlimited authorization to transmit it to every third party. For an owner, choosing a device or connection should include visibility into the data shared and the actions possible when they sell the vehicle or stop using the service.
To assess DIMO as a token, look for the current rule linking services to payments and rewards. Do not assume that a token associated with vehicles represents a share of the value of those cars or a claim on every application in the network. The number of connected vehicles may grow before significant revenue appears; it may also conceal accounts that no longer provide usable data.
The strongest evidence of adoption would be a service that customers renew for a concrete benefit, with manageable permissions and measured quality. A sponsored trial may demonstrate capability without proving profitability. Integration costs, support and equipment replacement are part of the equation. A device that earns a few tokens but requires extensive maintenance may remain unattractive to its owner.
Compare revenue without ignoring costs
For each network, prepare a budget in a reference currency. Record the initial hardware price, recurring expenses, income received and conversion fees. Our guide to crypto fees notes that a balance displayed in an application does not always equal the amount available after withdrawal. A low-liquidity reward can be expensive to convert, even when its nominal value appears high.
Use scenarios rather than a fixed rate of return. What happens to the margin if rewards fall, the token loses value or the device operates less frequently? An operator may improve coverage without controlling these parameters. The BrefCrypto staking guide offers another useful distinction: token-denominated compensation, market risk and exit conditions should remain visible in the same calculation.
Also keep invoices and statements for each period. Comparing two months without accounting for an outage or a rule change can attribute to the market what actually resulted from local operating conditions. Before ordering several devices, test one unit under real-world conditions and check return options, the seller’s warranties and the permissions required. The projection should account for days without income as well as the best-performing days.
For an investor who operates no equipment, the reasoning changes again. They must understand the token’s rights, supply and flows, without treating a contributor’s profitability as if it accrued to them. Growth in the hardware base may lead to more rewards before generating more customers. Conversely, a mature network may improve usage without multiplying the number of devices.
The DePIN projects worth analyzing in 2027 will therefore be distinguished by their ability to sell a useful service and maintain the resources required to deliver it. Helium, Hivemapper and DIMO provide three different settings in which to test that proposition. Track recurring payments, their source and participants’ costs. The number of devices is only the beginning of an inventory; it is neither a profit nor a promise that the token will rise.
