Ethereum’s layer-2 competition is entering a more demanding phase: transaction growth still matters, but the networks gaining lasting influence will be those that convert incentives and low fees into useful applications, persistent liquidity and dependable developer platforms.
Ethereum’s scaling market is no longer defined by a simple question of which network can process the most transactions. As more rollups and related layer-2 systems compete for users, activity is becoming a more complicated measure of strength. Transaction counts can rise rapidly when a network launches a rewards program, a popular application creates automated activity or users move assets temporarily to capture incentives. Stablecoin balances, decentralized-exchange volume, fee revenue, application diversity and developer retention often tell a different story.
That distinction is becoming increasingly important for Ethereum itself. Layer-2 networks are designed to make transactions cheaper and faster while using Ethereum as a settlement and security layer. They expand the number of people and applications that can use Ethereum, but they also create a fragmented market in which liquidity, users and developers can be distributed across multiple environments.
Data from analytics platforms including L2BEAT and Growthepie offers a view into this competition. Their dashboards track different but complementary indicators, such as activity, value secured, transaction throughput, fees, stablecoin holdings and application usage. No single metric provides a complete ranking. Together, however, they show an industry moving beyond the first phase of scaling—building inexpensive block space—and toward a second phase focused on retaining economic activity.
Activity is rising, but not all activity is equal
The most visible layer-2 metric is transaction activity. A network that processes more transactions than its rivals appears to have stronger demand for block space. That can support the case for greater adoption, attract developers and help establish a network effect.
But raw transaction counts are relatively easy to inflate. A low-fee environment can encourage users to make many small transactions. Points campaigns and token incentives can motivate participants to transfer assets repeatedly, provide and withdraw liquidity or interact with contracts solely to qualify for future rewards. Automated applications can generate large numbers of transactions without creating equivalent economic value.
This does not make transaction growth irrelevant. It means that analysts need to ask what the transactions represent.
A network with substantial activity across trading, lending, payments, gaming, social applications and infrastructure may have a more durable user base than one dominated by a single incentive campaign. A network whose transactions are supported by rising stablecoin balances and decentralized-exchange volume may be building a stronger financial economy than one with high throughput but limited capital. Similarly, recurring activity from identifiable applications is usually more informative than a short burst following a token launch.
Growthepie’s approach is useful in this context because it provides a broader set of comparisons than a simple transaction leaderboard. Its dashboards allow users to examine metrics such as active addresses, transaction costs, value transferred and application categories across Ethereum scaling ecosystems. L2BEAT, meanwhile, has become an important reference for tracking rollup value secured, stage classifications and the structure of different scaling systems.
The data should be read as a set of signals rather than as a definitive scorecard. Some platforms count transactions differently. Some distinguish between externally owned accounts and smart contracts, while others emphasize user operations or settled batches. Bridges can also affect the apparent value of a network, and stablecoin supply may represent capital held in contracts rather than capital actively used.
The central question is therefore not which chain has the largest number. It is whether the chain is developing repeatable demand that survives changes in incentives, market conditions and application trends.
The technology race is becoming a business-model race
The first generation of Ethereum layer-2 competition focused heavily on technology. Rollups promised to execute transactions away from Ethereum’s congested base layer, bundle the results and post compressed data or proofs back to Ethereum. Optimistic rollups relied on fraud-proof systems and dispute periods, while zero-knowledge rollups used cryptographic proofs to verify batches of transactions.
That distinction remains important, but it is becoming less decisive for users. Most users do not choose a network because they understand its proving architecture. They choose it because an application is available, fees are low, transactions confirm quickly, assets are easy to bridge and the ecosystem contains enough liquidity to support the activity they want.
This changes the competitive challenge for layer-2 operators. A rollup is not only a piece of infrastructure. It is also a distribution platform, a financial marketplace and, increasingly, a brand.
Network teams must attract applications, wallets, market makers, stablecoin issuers, bridge providers and developers. They must persuade users that their assets will be available where needed and that the network will remain useful after promotional programs end. They also need to create business models that can support operating costs, sequencer infrastructure, proving systems, security research and ecosystem development.
The result is a market in which technical differentiation and commercial execution are closely linked. A network with excellent throughput but weak developer tooling may lose applications to a slower competitor with better documentation and wallet support. A chain with deep liquidity may attract more traders, which creates more fees and makes the liquidity advantage stronger. A network with a large existing community may launch new applications faster because users, capital and developers are already nearby.
This is the same type of feedback loop that shaped earlier technology markets. Infrastructure becomes more valuable as more products are built on it, while products become more successful when infrastructure is reliable and widely used.
Ethereum’s blob upgrade changed the economics
The economics of layer-2 networks were materially affected by Ethereum’s introduction of data blobs through the Dencun upgrade. Blobs created a separate, more efficient way for rollups to publish transaction data to Ethereum. The change reduced the cost of posting data for many rollups and made low-fee transactions more practical.
For users, the effect was straightforward: many layer-2 networks could lower fees or absorb higher activity without passing the same costs through to customers. For operators, however, the development created both an opportunity and a challenge.
Lower data costs can improve margins if fees remain stable. They can also allow operators to reduce fees and compete more aggressively for market share. In a market where networks are trying to attract users, the savings are often returned to customers through cheaper execution. That benefits adoption but may limit near-term revenue.
The upgrade also reinforced a structural reality: Ethereum layer-2 networks are exposed to the pricing of Ethereum data availability. When demand for Ethereum block space is low, rollup costs may be modest. If demand rises sharply, data costs can increase. Layer-2 operators must manage that exposure while building applications and pricing models that can survive a changing fee environment.
This makes fee revenue an important but nuanced metric. A network generating high fees may have strong demand, but it may also be expensive for users. A network with low fees may be efficient and growing, or it may simply lack enough valuable activity to generate revenue. Comparing costs and revenue together provides a more useful picture than examining either figure alone.
There is also a strategic question. If layer-2 networks keep fees extremely low, they may encourage experimentation and user adoption. But they may also make it difficult to fund long-term security and infrastructure development unless other revenue sources emerge. Those sources could include sequencer income, application-specific services, interoperability fees, enterprise partnerships or token-based ecosystem mechanisms.
Stablecoins reveal where capital is willing to stay
Stablecoin balances are among the most useful indicators for evaluating the economic depth of a layer-2 network. Stablecoins support trading, lending, payments, remittances, payroll, collateral management and treasury operations. When users bridge stablecoins to a network and leave them there, it suggests that the chain may be more than a temporary destination for speculative transactions.
Stablecoin data is not perfect. Capital can sit idle, and large holders can move funds for reasons unrelated to organic usage. A protocol may also attract a significant stablecoin supply because it offers short-term yield. Still, persistent stablecoin liquidity gives applications a foundation on which to build.
For decentralized exchanges, stablecoins reduce friction between trading pairs. For lending markets, they provide a common unit of account and a source of borrowing liquidity. For payment applications, they can function as digital dollars that move at low cost. For businesses, they may provide an alternative settlement rail that operates continuously across borders.
This is why stablecoin distribution can influence the competitive balance among layer-2 networks. A trader is more likely to use a chain where the desired assets already exist. A developer building a payments application wants access to liquid, widely recognized currencies. A lending protocol needs both borrowers and lenders, which are easier to attract when capital is already present.
The most significant networks are therefore competing not merely for wallets but for balance sheets. They want stablecoin issuers, market makers, treasury managers and financial applications to treat their environment as a permanent operating venue.
The composition of stablecoin supply also matters. A network dominated by a small number of assets may be vulnerable to issuer decisions or changes in liquidity incentives. A broader mix of stablecoins, paired with active use in payments and DeFi, can indicate greater resilience.
Decentralized exchanges are the liquidity battleground
Decentralized-exchange volume offers another window into layer-2 competitiveness. Trading is one of the first activities to move to a lower-cost network because frequent swaps become more economical when transaction fees fall. It is also an activity where liquidity produces powerful network effects.
A trader generally prefers the venue that offers the best combination of price, depth, speed and asset availability. Liquidity providers, in turn, prefer venues where trading volume is high enough to generate fees. Applications may route trades across multiple networks, but the chains with the deepest pools and most efficient execution tend to capture a larger share of economic activity.
Volume should nevertheless be interpreted carefully. It can be driven by volatility, token launches, arbitrage, wash trading or short-term incentives. A single popular exchange can make a network look dominant even if other categories of applications remain underdeveloped.
The more durable signal is a combination of volume, liquidity and fee generation. If a network retains meaningful trading activity after rewards decline, it may have achieved product-market fit. If volume disappears as soon as incentives are removed, the network may need to reassess its user acquisition strategy.
For developers, DEX liquidity has consequences beyond trading. It affects the ability to launch new tokens, bootstrap lending markets, create derivatives and build applications that depend on reliable price data. Deep liquidity can make an ecosystem more composable because applications can interact without requiring every project to build its own market from scratch.
That composability is one of Ethereum’s core advantages, but it is more difficult to maintain across separate layer-2 environments. An application on one network may not be able to use liquidity on another without relying on bridges, messaging systems or fragmented versions of the same asset. As more activity moves to layer 2, interoperability becomes a central part of the user experience rather than a specialized infrastructure feature.
Incentives can accelerate growth—and obscure it
Token incentives are a standard tool in the layer-2 market. Networks use grants, liquidity mining, points, fee rebates and token distributions to attract early users and developers. These programs can be rational investments. New infrastructure often needs an initial subsidy to overcome the cold-start problem, just as payment platforms and marketplaces subsidize one side of their networks while building scale.
The risk is that incentives can make temporary activity appear permanent. Users may bridge funds to qualify for rewards, provide liquidity only while returns are high and leave once the campaign ends. Developers may deploy applications for grants without committing to long-term maintenance. The resulting numbers can be impressive but economically fragile.
A more useful assessment separates incentivized and organic activity where possible. Analysts can examine whether wallet balances remain after campaigns, whether users return over multiple months, whether transaction activity is concentrated in a few contracts and whether applications generate fees from users who are not receiving rewards.
Retention is particularly important. A network that attracts fewer users but keeps them active may be healthier than one that repeatedly cycles through large populations of temporary participants. Cohort analysis—tracking when users arrive and whether they return—can reveal weaknesses hidden by aggregate totals.
Incentives also affect token economics. A network may show high gross activity while distributing substantial amounts of tokens to support that usage. If the cost of acquiring each retained user is too high, the program may create value for traders without creating value for the network. Investors should consider both activity and the resources required to produce it.
None of this means incentives are inherently negative. Early subsidies can help a new application discover its market, give developers the time to improve a product and establish liquidity that would otherwise take years to accumulate. The key is whether incentives are being used to build durable habits or merely to rent activity.
The developer experience may decide the next phase
Developers increasingly treat layer-2 networks as platforms rather than interchangeable execution environments. They care about compatibility with Ethereum tools, contract deployment costs, debugging, documentation, grants, security support, account abstraction and access to users.
Ethereum Virtual Machine compatibility has lowered the barrier to deployment for many teams. Developers can reuse familiar languages, libraries and wallets, although differences in transaction ordering, precompiles, data availability and infrastructure still create technical work. The quality of that experience can determine whether a team deploys on one network, several networks or an entirely different ecosystem.
Tooling also affects security. Clear documentation, reliable testnets, monitoring services and mature auditing resources reduce the chance that developers introduce vulnerabilities while adapting applications. A network that makes it easy to deploy but difficult to observe or upgrade contracts may create risks that only become visible after an exploit.
Composability is another major factor. Developers want applications to connect with wallets, exchanges, lending protocols, oracles and identity systems. A chain with a large number of isolated applications may have impressive deployment statistics but weak economic integration. A smaller ecosystem where core applications work together can offer greater practical value.
The emergence of application-specific chains adds another dimension. Some projects may launch their own layer-3 or appchain environments to control execution, fees and upgrades. That can improve customization, but it also creates new responsibilities for liquidity, security and interoperability. Developers must decide whether the benefits of control outweigh the loss of direct access to an established shared ecosystem.
As these choices multiply, developer incentives will likely shift from simple grant programs toward deeper support. Teams will look for technical partnerships, distribution, access to institutional capital, integration with wallets and stablecoin issuers, and predictable governance.
Bridges are becoming the front door to the ecosystem
For users, the layer-2 experience often begins with a bridge. They must move ETH or stablecoins from Ethereum or another network, understand fees and waiting periods, and trust that the asset representation is legitimate. A complicated or risky bridge can prevent adoption even when the destination chain offers excellent applications.
Bridge security remains one of the most serious concerns in the scaling market. Cross-chain systems have historically been attractive targets because they control valuable pools of assets and must coordinate messages across separate environments. Users may not distinguish between a native rollup bridge, a third-party liquidity bridge and a messaging protocol, but the security assumptions can differ substantially.
A sustainable layer-2 ecosystem needs clear communication about those assumptions. Users should be able to understand whether withdrawals depend on a challenge period, whether liquidity is supplied by a centralized entity or decentralized market makers, and what happens if a sequencer stops operating. Institutions and businesses are likely to demand even stronger guarantees around operational continuity, compliance controls and asset recovery.
Interoperability can also reduce fragmentation. If users can move assets and messages between networks quickly and safely, they may be more willing to use multiple layer 2s. But interoperability does not eliminate competition. It can intensify it by making applications easier to compare and liquidity more mobile.
The long-term winners may not be the networks that lock users in most effectively. They may be the networks that make moving into their ecosystem easy while giving users enough reasons to stay: useful applications, competitive liquidity, reliable infrastructure and a strong social or developer community.
Sequencer design and decentralization matter to value capture
Most major layer-2 systems have historically relied on centralized or relatively concentrated sequencers. A sequencer orders transactions, provides fast confirmations and submits batches to Ethereum. Centralization can simplify operations and improve performance, but it introduces trust and availability considerations.
A sequencer that experiences an outage can disrupt applications even if Ethereum remains operational. A sequencer may also influence transaction ordering, creating questions about censorship, fairness and extractable value. As networks mature, decentralizing sequencing becomes an important part of their credibility.
Different approaches are emerging, including shared sequencing, based sequencing and distributed sequencer sets. Each has trade-offs involving latency, governance, revenue distribution and technical complexity. The market is still testing which models can provide strong performance without recreating a centralized intermediary.
Value capture is tied to this design. If a centralized operator collects sequencing revenue, it may have a clear business model but also carries a concentration risk. If revenue is distributed across a broader network, the system may be more resilient but harder to coordinate. Investors evaluating layer-2 tokens and related infrastructure will need to understand whether economic activity accrues to the network, to applications, to validators or to a small operating company.
L2BEAT’s emphasis on risk and maturity classifications is valuable here. A network can have impressive activity while still relying on upgrade keys, limited proof systems or centralized operational controls. Usage growth and decentralization are related but distinct dimensions of progress.
What investors should look for beyond rankings
Investors evaluating the layer-2 market should resist treating activity tables as simple league standings. A network’s prospects depend on the quality and cost of its growth.
Several indicators deserve attention.
First is activity diversity. Are transactions spread across multiple applications and sectors, or does one campaign account for most usage? Concentration can create both speed and vulnerability.
Second is retention. Do users return after incentives fall? Are stablecoin balances stable? Does volume persist through quieter market periods?
Third is economic efficiency. How much revenue does a network generate relative to the incentives it distributes and the operating costs it incurs? Low fees are valuable for users, but a network also needs a path to sustainable infrastructure funding.
Fourth is developer momentum. New deployments, code activity, audits, integrations and application launches can be more predictive than headline user numbers. Developers tend to build where they expect future distribution and liquidity.
Fifth is security maturity. Investors should examine proof systems, upgrade controls, withdrawal mechanisms, bridge design, sequencer resilience and incident history. A fast-growing ecosystem with weak safeguards may be accumulating liabilities rather than durable value.
Sixth is interoperability. Networks that can connect safely to major wallets, stablecoin systems, exchanges and other layer 2s are more likely to participate in a larger Ethereum economy. Isolation can protect liquidity temporarily but usually limits long-term reach.
Finally, investors should consider governance and value capture. A network may be widely used without its token capturing meaningful economic value. Conversely, a token may have strong rights or utility while the underlying ecosystem remains small. Understanding the relationship between users, applications, sequencer revenue, governance and token supply is essential.
Ethereum benefits even as layer 2s compete
The competition among layer-2 networks can appear to threaten Ethereum by moving activity away from the base layer. In practice, successful scaling ecosystems can strengthen Ethereum if they continue to use it for settlement, data availability and security.
The challenge is ensuring that this relationship remains economically and technically meaningful. If layer 2s rely on Ethereum only nominally while concentrating control elsewhere, Ethereum may capture less value from its expanding ecosystem. If they post data and proofs to Ethereum but remain difficult to interoperate with one another, users may experience a collection of disconnected networks rather than a unified platform.
Ethereum’s role is therefore evolving. It is not expected to process every retail transaction directly. Its value may increasingly come from providing a credible settlement layer beneath a wide range of specialized execution environments. Those environments can serve payments, trading, gaming, social applications, enterprises and high-frequency financial activity while sharing a common security and asset foundation.
That model resembles an internet architecture in which different services operate on specialized infrastructure but remain connected through common protocols. The analogy is imperfect, particularly because blockchains must coordinate ownership, settlement and governance. Still, the strategic direction is clear: Ethereum’s scaling future depends on making many networks feel like parts of one economy.
The next winners will turn throughput into habits
The layer-2 market has already demonstrated that Ethereum can support a much larger range of activity when execution is moved to cheaper environments. The next test is more difficult. Networks must show that they can create habits, not just spikes; businesses, not just campaigns; and liquidity systems, not just token distributions.
This will require stronger products. Payments need simple wallets and predictable fees. DeFi needs deep liquidity, reliable oracles and risk controls. Gaming needs fast transactions that disappear into the user experience. Enterprises need operational guarantees and compliance-compatible tools. Social applications need affordable interactions and durable identity. Each category will reward different combinations of performance, decentralization and composability.
Data from L2BEAT and Growthepie can help identify where those experiments are gaining traction. But dashboards cannot fully explain why an ecosystem is growing or whether users will remain. That requires looking at application quality, user retention, capital efficiency, developer behavior and security design together.
The most durable layer-2 networks may not always lead every daily ranking. Activity can rotate as new applications launch and market conditions change. What matters is whether a network can repeatedly attract valuable activity, support builders and preserve trust when incentives decline.
Ethereum’s scaling competition is therefore becoming less about who has the cheapest transactions today. It is about who can build the most useful economic environment around those transactions. The winners will be the ecosystems that combine low-cost execution with liquidity, interoperability, dependable applications and credible security.
For users, that could mean cheaper and more flexible access to digital services. For developers, it could create a broader range of platforms on which to build. For investors, it will demand a more careful reading of metrics than a transaction leaderboard can provide. And for Ethereum, the outcome will shape whether its layer-2 expansion becomes a fragmented collection of chains or the foundation of a genuinely larger digital economy.