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Web3 & Technology

Top 10 layer 2 blockchains driving the Web3 scaling shift

In brief
  • Ethereum processes roughly 15–30 transactions per second at the base layer.
  • That ceiling is incompatible with mass-market DeFi, payments, gaming, and high-volume NFT infrastructure.
Top 10 layer 2 blockchains driving the Web3 scaling shift

Layer 2 networks move execution away from Ethereum, compress transaction data, and return settlement or validity information to the base chain. The result is higher throughput and lower fees without abandoning Ethereum as the final settlement layer.

The top 10 layer 2 blockchain networks are not technically interchangeable. Arbitrum and Base use optimistic rollup designs. Starknet, Scroll, Linea, Polygon zkEVM, and zkSync use zero-knowledge validity proofs or related ZK architectures. OP Mainnet is part of a broader OP Stack ecosystem. Blast and Immutable zkEVM target more specialized application and liquidity environments.

The distinction matters. A low fee is not a security model. A large TVL figure is not decentralization. And a ZK label does not automatically mean that a network has removed every operational risk.

What Layer 2 actually changes

A rollup executes transactions outside Ethereum and posts compressed transaction data or proof data back to Layer 1. Ethereum remains responsible for settlement, while the L2 handles most user-facing computation.

This creates a new bottleneck profile. The question is no longer only whether Ethereum can execute a transaction. It is whether the rollup can:

  • order transactions without a centralized failure point;
  • publish enough data for independent reconstruction;
  • enforce withdrawals when the operator is unavailable;
  • prove or challenge invalid state transitions;
  • maintain sufficient liquidity depth for applications and bridges;
  • upgrade smart contracts without bypassing the stated security model.

Optimistic and ZK rollups solve these problems differently.

Optimistic rollups assume that submitted state transitions are valid unless challenged. They rely on fraud-proof systems and a dispute window. This model is comparatively mature and has supported large DeFi deployments, but withdrawals to Ethereum can involve delays when the canonical bridge requires the challenge period to complete.

ZK rollups attach cryptographic validity proofs to state transitions. Ethereum verifies the proof rather than waiting for an external challenge. This can reduce the trust placed in the operator and improve withdrawal finality. The engineering burden is higher. Prover performance, circuit design, proof generation costs, and compatibility with Ethereum’s execution environment become central constraints.

The relevant comparison is not “cheap chain versus expensive chain.” It is execution speed versus proof production, data availability, upgrade control, and withdrawal guarantees.

The current L2 market contains dozens of active rollups and scaling systems securing tens of billions of dollars across the Ethereum ecosystem. Market share remains concentrated. Arbitrum One has captured roughly 40%–44% of L2 market share by Total Value Secured and has reached L2BEAT Stage 1 decentralization status. Base has grown beyond $10 billion in TVL, supported by Coinbase distribution and low transaction costs.

Those figures establish market position. They do not eliminate protocol risk.

The 10 networks that matter

The following list is not a precise real-time ranking. TVL, activity, and market share fluctuate daily. These are the networks with the strongest combination of capital, ecosystem reach, technical relevance, or strategic importance in the current scaling market.

1. Arbitrum One

Arbitrum One is the most established large-scale optimistic rollup in this group. Its architecture uses off-chain execution and fraud-proof-based dispute logic, while Ethereum provides settlement and the canonical security anchor.

Its main advantage is ecosystem depth. Arbitrum has attracted major DeFi protocols, lending markets, derivatives venues, stablecoin liquidity, and developer tooling. That creates network effects that are difficult for a technically similar chain to reproduce. Liquidity depth matters more than raw throughput for a financial network. A protocol can advertise thousands of transactions per second and still fail if users cannot move size without excessive slippage.

Arbitrum’s Stage 1 status is significant because it indicates progress beyond an operator-controlled deployment. It does not mean the network has reached full decentralization. Most rollups still retain upgrade mechanisms, permissioned components, or emergency controls. The security model must therefore be evaluated as a system of contracts, validators, sequencers, bridges, and governance—not as a single rollup brand.

Arbitrum’s weakness is architectural latency. Optimistic fraud-proof systems require a challenge framework. Canonical withdrawals are not equivalent to instant finality, even when applications provide faster liquidity through third-party bridges.

Technical profile

  • Architecture: optimistic rollup.
  • Settlement: Ethereum.
  • Security mechanism: fraud proofs and dispute resolution.
  • Primary strength: DeFi liquidity and ecosystem maturity.
  • Primary constraint: challenge-period assumptions and remaining centralization components.
  • Best fit: general-purpose DeFi, derivatives, lending, and high-value application deployment.

2. Base

Base is an Ethereum Layer 2 built on the OP Stack and backed by Coinbase’s distribution channel. Its growth from approximately $2.1 billion in TVL to more than $10 billion reflects a combination of low fees, exchange integration, developer access, and user onboarding.

The Coinbase connection is not a minor marketing detail. It is an infrastructure advantage. Wallet access, fiat interfaces, and an existing registered user base reduce the friction between centralized exchange activity and on-chain execution. Most chains must acquire users one wallet at a time. Base can route a large part of that demand through an established financial platform.

Base uses an optimistic rollup model. Following Ethereum’s Dencun upgrade and the implementation of EIP-4844 in March 2024, blob-based data availability reduced the cost of publishing L2 data to Ethereum. That directly improved transaction economics. Typical L2 fees after the update can fall below $0.01 to $0.05, depending on network conditions, transaction type, and data demand.

The limitation is concentration. Base’s sequencing, governance, and upgrade path must be assessed separately from its transaction price. A low-cost chain with a centralized sequencer can still provide useful infrastructure. It simply has a different failure and censorship profile from a mature decentralized settlement system.

Base is also an important distribution layer for consumer-facing applications. Its success demonstrates that scaling adoption is not driven by cryptography alone. Access, liquidity, custody, and product integration are equally material.

Technical profile

  • Architecture: OP Stack optimistic rollup.
  • Settlement: Ethereum.
  • Primary strength: distribution through Coinbase and strong application growth.
  • Primary constraint: centralized operational components and dependence on an optimistic security framework.
  • Best fit: consumer applications, payments, social protocols, DeFi, and applications requiring low onboarding friction.

3. OP Mainnet

OP Mainnet is the reference network for the OP Stack, a modular framework used to deploy additional Ethereum-compatible rollups. Its importance is therefore broader than the activity on OP Mainnet itself.

The OP Stack separates components such as execution, sequencing, settlement, and data availability into a configurable architecture. This gives developers a repeatable path to launching application-specific or ecosystem-specific chains. The model has influenced the broader move toward L2 and L3 deployment frameworks, where the technical challenge shifts from building a chain from scratch to configuring a standardized rollup stack.

The benefit is composability across a family of networks. The risk is fragmentation. A collection of OP Stack chains may share software and settlement assumptions without sharing liquidity, governance, or user activity. Interoperability between chains is not automatic merely because the underlying stack is related.

OP Mainnet remains a major optimistic rollup. Its security depends on the implementation of fault proofs, the bridge contracts, upgrade permissions, and the ability of independent actors to verify and challenge state transitions.

For developers, OP Mainnet offers a mature Ethereum-compatible environment and a recognizable toolchain. For users, the central issue is less the stack’s branding than the exact configuration of the deployed chain.

4. Polygon zkEVM and the AggLayer ecosystem

Polygon’s scaling strategy combines ZK technology with a broader interoperability framework known as AggLayer. Polygon zkEVM is designed to provide Ethereum-compatible execution with validity-proof-based settlement. AggLayer addresses a separate problem: how multiple chains can share liquidity and communicate without forcing every application into one execution environment.

That distinction is important. A ZK rollup and an aggregation layer are not identical components. One proves state transitions. The other coordinates cross-chain interaction and liquidity. The user experience may combine both, but the security assumptions remain separable.

Polygon’s strength is strategic scope. It is not only competing for deposits on one L2. It is attempting to provide infrastructure for a network of chains, application environments, and cross-chain applications. That can be valuable for games, consumer platforms, and enterprises that require custom execution environments.

The trade-off is complexity. Every additional bridge, message-passing layer, or shared-liquidity mechanism introduces contracts and assumptions that must be audited independently. “Interoperability” is not a security property by itself. The relevant question is whether a message can be forged, delayed, censored, or replayed when one connected chain or operator fails.

Polygon zkEVM is technically relevant as a ZK-based Ethereum scaling solution. Its longer-term position depends on prover economics, developer adoption, and whether the broader AggLayer system creates durable liquidity rather than another set of isolated environments.

5. zkSync

zkSync is a ZK rollup ecosystem focused on Ethereum-compatible execution and validity proofs. Its design direction is to make ZK-based scaling usable for general-purpose applications rather than limiting it to narrow, purpose-built circuits.

The core advantage of a ZK rollup is finality based on proof verification. Once Ethereum accepts a valid proof and the associated state data is available, the system does not need the same type of extended fraud challenge period used by optimistic rollups. This changes bridge and withdrawal behavior.

The engineering constraints are substantial. General-purpose ZK execution requires proving a broad set of computation steps. Prover hardware, proof latency, circuit efficiency, and costs can become bottlenecks under demand. Compatibility with Ethereum tooling also requires careful handling of opcodes, precompiles, account abstraction, and execution semantics.

zkSync is therefore best evaluated at two levels:

1. The protocol layer. Can the prover and verifier system enforce valid state transitions under stress?

2. The ecosystem layer. Are applications, liquidity, wallets, and bridges deep enough to support persistent usage?

A ZK architecture can be technically elegant and commercially weak if liquidity is thin. Conversely, a large user base can obscure unresolved issues in upgrade controls or proof production. These dimensions should not be merged into one score.

6. Starknet

Starknet uses validity proofs based on STARK technology and a specialized execution environment. Its architecture is optimized around proving computation rather than preserving complete compatibility with the Ethereum Virtual Machine.

This creates a clear trade-off. A specialized virtual machine can enable more efficient proving and support application designs that are difficult to express efficiently in a conventional EVM environment. It also imposes a learning and migration cost. Developers accustomed to Solidity and standard EVM tooling must work with Starknet’s language and execution model.

Starknet’s technical relevance is highest in applications where proof efficiency, scalability, and custom execution logic justify the additional development complexity. It is less attractive to teams whose primary requirement is immediate EVM compatibility and access to existing Solidity infrastructure.

The network’s viability depends on whether its proving advantages convert into real application demand. TPS claims are not enough. The more useful measurements are sustained throughput, proof-generation latency, sequencer behavior, fee stability, and the cost of reconstructing state independently.

Starknet is not a direct clone of Arbitrum or Base. It is a different engineering choice: stronger specialization in exchange for a less frictionless developer environment.

7. Linea

Linea is a ZK rollup designed for Ethereum-compatible smart contract execution. Its main value proposition is reducing the migration burden for Ethereum developers while using validity proofs instead of an optimistic dispute process.

EVM compatibility is a practical advantage. DeFi protocols can reuse established Solidity patterns, wallets, and deployment workflows. But compatibility exists on a spectrum. Differences in gas costs, precompile support, proving constraints, and tooling can still affect application behavior. A contract that compiles is not necessarily production-ready without architecture-specific testing.

Linea’s challenge is market differentiation. The ZK rollup category contains several networks offering similar high-level claims: Ethereum settlement, low fees, fast confirmation, and validity proofs. Linea must compete on liquidity, developer distribution, bridge reliability, application quality, and operational transparency.

As with other ZK systems, prover performance is central. If proof generation becomes expensive or delayed during demand spikes, theoretical finality does not guarantee stable user experience. The cost of data publication also remains relevant even when computation is proven cryptographically.

Linea is a credible general-purpose scaling option. Its long-term position will be determined less by the ZK label than by the depth of the applications that remain after incentive programs end.

8. Scroll

Scroll is another Ethereum-compatible ZK rollup. Its design prioritizes close alignment with the EVM, allowing developers to deploy existing contracts with comparatively limited changes.

That compatibility is useful, but it creates a technical burden. The closer a ZK rollup attempts to mirror Ethereum’s execution environment, the more work may be required in the proving system. Ethereum compatibility and proving efficiency are not independent objectives. They must be balanced at the circuit, opcode, precompile, and state-access levels.

Scroll’s relevant metrics include:

  • proof-generation throughput under sustained load;
  • the time between batch submission and proof verification;
  • data availability costs after blob pricing changes;
  • bridge contract exposure;
  • upgrade authority and emergency controls;
  • liquidity depth across major DeFi venues.

Scroll competes in a crowded field where architectural similarity reduces differentiation. Its position improves when developers value Ethereum equivalence and when applications can obtain sufficient liquidity without relying on temporary rewards.

The network is technically credible as a ZK scaling system. Whether it becomes a durable top-tier venue depends on capital concentration and application retention.

9. Blast

Blast is an Ethereum Layer 2 positioned around native yield mechanisms and ecosystem incentives. Its differentiation is not solely transaction execution. It attempts to make idle assets productive within the network’s economic design.

That model can attract capital quickly. It can also distort the meaning of TVL. Deposits driven by rewards or native yield are not equivalent to sticky liquidity supporting organic transaction demand. A protocol may show strong locked value while users remain highly sensitive to incentives and withdrawal conditions.

Blast must therefore be analyzed as both a scaling network and an economic system. The relevant questions include how yield is generated, which assets bear the underlying risk, how funds are bridged, and what happens when incentives decline. Native yield does not remove smart contract, bridge, oracle, or governance risk.

The network can be useful for applications that benefit from dense liquidity and incentive alignment. It is a weaker choice when the project requires a neutral settlement environment with minimal dependence on token emissions or ecosystem subsidies.

Blast illustrates a broader issue in L2 comparisons: growth mechanics and security mechanics are separate. A chain can acquire users through incentives without proving that its execution or governance model is superior.

10. Immutable zkEVM

Immutable zkEVM is a specialized ZK-based Ethereum scaling environment focused on blockchain gaming and NFT infrastructure. Its architecture targets applications with high transaction frequency, asset issuance, marketplace activity, and user interactions that would be expensive on Ethereum mainnet.

Gaming creates different infrastructure requirements from DeFi. Transaction fees must be predictable. Wallet onboarding must be simple. Asset metadata, marketplace liquidity, account recovery, and permission design matter as much as raw throughput. A chain built for games may prioritize predictable execution and developer tooling over generalized financial composability.

Immutable’s specialization is an advantage if it creates a dense application ecosystem. It is a limitation if developers need broad access to unrelated DeFi liquidity or prefer a neutral general-purpose network.

The technical evaluation should include more than NFT transaction volume. Examine whether assets can be withdrawn through canonical mechanisms, how marketplace contracts handle upgrades, whether user accounts are externally owned or smart accounts, and how the system behaves during game launches that produce sudden demand spikes.

Immutable zkEVM is viable as an application-specific scaling environment. Its success does not require it to replace general-purpose rollups. It requires it to provide a better execution and distribution layer for games and digital asset platforms.

Optimistic versus ZK rollups

The central technical divide is not a simple race between old and new architectures. Optimistic rollups currently lead in market share and TVL, while ZK rollups offer a different finality and proof model.

ParameterOptimistic rollupsZK rollups
State verificationFraud proofs challenge invalid claimsValidity proofs verify correct execution
Withdrawal modelCanonical withdrawals may require a dispute windowProof acceptance can support faster finality
EVM compatibilityGenerally mature and straightforwardImproving, but compatibility can increase proving complexity
Main bottleneckChallenge system, sequencing, and finality latencyProver capacity, circuit design, and proof-generation cost
Current market positionArbitrum, Base, and OP Mainnet lead major activityzkSync, Starknet, Linea, Scroll, and Polygon drive ZK adoption
Core security questionCan invalid state be challenged in time?Can the proof system enforce valid state transitions?
Best use casesGeneral-purpose DeFi and broad EVM deploymentHigh-throughput applications and proof-oriented infrastructure

Neither architecture eliminates the need for data availability. Ethereum must still receive enough information to reconstruct or verify the rollup state. A proof without available state data does not create a fully independent system.

EIP-4844 changed the cost equation

Ethereum’s Dencun upgrade in March 2024 implemented EIP-4844, introducing blob transactions designed for rollup data. This reduced the cost of posting L2 data to Ethereum and materially improved the economics of rollup execution.

The effect is visible in user fees. Many L2 transactions can cost less than $0.01 to $0.05 under normal conditions, though the exact amount depends on calldata or blob demand, transaction complexity, sequencing policy, and application design.

Lower data costs improve all major L2 categories:

  • DeFi users can rebalance positions more cheaply.
  • NFT platforms can reduce minting and trading friction.
  • Games can write more frequent state updates.
  • Payment applications can approach conventional digital transaction economics.
  • Developers can support smaller user actions without making gas the dominant cost.

But EIP-4844 does not solve every scaling constraint. It does not decentralize a sequencer. It does not audit a bridge. It does not guarantee proof availability. It does not make a rollup Stage 2. It reduces one cost component in the system.

The next bottleneck can emerge elsewhere. If transaction fees become negligible, demand may increase until sequencer throughput, prover capacity, RPC infrastructure, or liquidity becomes the limiting factor. Scaling is not a single parameter. It is a chain of dependent systems.

This is also why raw TPS comparisons are weak. A network may reach thousands of transactions per second in a controlled environment while providing poor performance for complex swaps, NFT mints, or contract-heavy interactions. Transaction type, state access, batching, and data publication must be specified before throughput claims have analytical value.

Decentralization is a stage, not a slogan

Most major rollups have not achieved full Stage 2 decentralization. They remain in earlier security frameworks, commonly described as Stage 0 or Stage 1, with varying combinations of centralized sequencers, permissioned proof systems, upgrade keys, security councils, and emergency operators.

A serious layer 2 blockchain comparison should separate four operational roles:

Sequencer

The sequencer orders transactions and provides users with fast confirmations. If centralized, it can potentially censor transactions, delay inclusion, or experience downtime. Some networks have mechanisms that allow users to force transactions through Ethereum when the sequencer fails. The exact guarantees depend on contract design and operating procedures.

Prover or challenger

Optimistic systems require independent actors capable of submitting fraud proofs. ZK systems require a prover that can generate valid proofs and a verifier contract that can reject invalid ones. A proof system may be cryptographically strong while operationally dependent on one proving service.

Bridge contracts

The canonical bridge controls deposits and withdrawals between Ethereum and the rollup. Bridge risk is often larger than the application’s front-end risk. A compromise of bridge logic can affect the entire value secured by the network.

Upgrade authority

Admin keys and governance mechanisms can modify critical contracts. Emergency upgrades may be justified operationally, but they expand the trust assumptions. A network’s advertised settlement security is incomplete without a clear account of who can change the contracts and under what delay.

A rollup is not decentralized because its transactions are cheap. It is decentralized only to the extent that users can verify, exit, and recover from operator failure without permission.

Stage labels help, but they are not substitutes for reading the actual contracts and governance controls. A Stage 1 rollup may provide stronger user guarantees than a Stage 0 deployment, while still retaining material centralized control. The correct conclusion is comparative, not binary.

Liquidity decides which networks persist

Technical architecture determines what a chain can do. Liquidity determines whether users can do it at scale.

For DeFi, the relevant indicators are not only TVL. They include stablecoin supply, lending utilization, derivatives depth, bridge balances, oracle coverage, and the ability to execute large trades without severe price impact. A chain with high TVL concentrated in a small number of incentivized pools may be less resilient than a chain with lower headline deposits but deeper organic markets.

For NFT and gaming infrastructure, other indicators matter:

  • marketplace volume that survives incentive reductions;
  • wallet and account-abstraction support;
  • predictable fees during launches;
  • asset withdrawal and portability;
  • developer tooling for metadata and royalties;
  • recovery mechanisms for users unfamiliar with self-custody.

This is where the top 10 networks diverge. Arbitrum and Base have the strongest general-purpose liquidity profiles in this group. OP Mainnet benefits from the broader OP Stack ecosystem. ZKsync, Polygon, Linea, Scroll, and Starknet compete through technical differentiation and ecosystem formation. Blast relies more heavily on economic incentives. Immutable zkEVM is narrower but more focused on gaming and digital assets.

There is no universal best L2 network. The correct choice depends on the application’s dominant constraint.

What consolidation will look like

The L2 market is likely to consolidate around networks with three assets: durable liquidity, reliable infrastructure, and permissionless operating paths.

Liquidity alone is insufficient. Incentive-funded deposits can leave quickly. Technical sophistication alone is insufficient. A high-performance prover does not create applications. Distribution alone is insufficient if the chain cannot provide credible escape and verification guarantees.

The strongest networks will increasingly expose modular infrastructure. Shared stacks, interoperable bridges, standardized proof systems, and cross-chain liquidity layers can reduce deployment costs. They can also increase correlated risk. A bug or governance failure in widely reused software can affect many chains simultaneously.

The expected shift toward permissionless infrastructure is therefore not a simple decentralization endpoint. It is a change in failure distribution. Control may move from one operator to a set of sequencers, provers, validators, or governance participants. The system becomes more resilient only if those components are independently verifiable and economically capable of operating under stress.

The same infrastructure trend is visible outside blockchains. Consumer technology markets are expanding because low-cost sensors, data pipelines, and portable computing create new product layers; the broader fitness tracker boom and wearable technology market is one example. In Web3, the equivalent infrastructure layer is the rollup stack: execution, data availability, proof generation, and settlement. In both cases, the surface product is less important than the system underneath it.

Final verdict

Arbitrum and Base are the strongest general-purpose choices today because they combine established liquidity, application density, and lower transaction costs with Ethereum settlement. OP Mainnet remains strategically important as the reference OP Stack environment.

The ZK group is technically more varied. Starknet offers specialization at the execution layer. zkSync, Linea, Scroll, and Polygon zkEVM pursue Ethereum-compatible validity-proof scaling with different ecosystem strategies. Immutable zkEVM has a defensible gaming and NFT focus. Blast is viable where incentive-driven liquidity is part of the application design, but its economic model requires stricter scrutiny.

The binary verdict is clear: Layer 2 rollups are viable infrastructure for Web3 scaling; any individual L2 is viable only if its security, liquidity, and upgrade assumptions survive independent inspection. The chain with the lowest fee is not automatically the strongest chain. The strongest chain is the one that remains usable when incentives decline, operators fail, bridges are stressed, and users need to exit without permission.

FAQ

What is the main difference between optimistic and ZK rollups?
Optimistic rollups assume transactions are valid unless challenged via fraud proofs, while ZK rollups use cryptographic validity proofs to verify state transitions immediately.
Does a low transaction fee mean a network is decentralized?
No, low fees are a result of efficient data compression and execution, not a measure of decentralization; security depends on factors like sequencer control, bridge contracts, and upgrade authority.
Why is liquidity more important than transaction speed for L2 networks?
Liquidity depth allows users to move assets and execute large trades without excessive slippage, which is essential for the functionality of DeFi and financial applications.
How did the EIP-4844 upgrade affect Layer 2 networks?
The implementation of blob-based data availability reduced the cost of publishing L2 data to Ethereum, leading to significantly lower transaction fees for users.
Are all Layer 2 networks fully decentralized?
Most major rollups are not fully decentralized and currently operate with varying degrees of centralized components, such as permissioned sequencers or emergency upgrade keys.