
An economic monopoly refers to a market structure in which a single entity or a small group of entities maintain sustained dominance in a particular sector, granting them significant influence over prices, rules, and market entry. While not inherently illegal, monopolies reshape the pace of competition and innovation within a market.
Think of an economic monopoly as a “single toll booth on the highway”: most people must pass through it, giving the operator the power to set tolls and rules of passage. In Web3, this “highway” could take the form of the most liquid stablecoin, mining pools or validators with concentrated staking power, or node services heavily relied upon by users and developers.
Economic monopolies can still emerge in Web3 because technical decentralization does not automatically eliminate market concentration. Users and capital naturally gravitate towards platforms offering better experiences, lower costs, or stronger asset security, creating a “winner-takes-more” dynamic.
Network effects are a key force behind this phenomenon. Network effect means “the more users, the more valuable a service becomes.” Much like popular social platforms, as more people use a protocol, switching away becomes less appealing. In crypto markets, the more capital flows through a particular stablecoin, the deeper its liquidity and smoother its trading experience—attracting even more users.
Switching costs are another major factor. Switching costs refer to the inconvenience and risks associated with moving from A to B—such as migrating wallets, learning new tools, or rebuilding liquidity pools. The higher these costs, the less likely users are to switch, reinforcing the dominant player’s position.
Technical bottlenecks also play a role; for example, certain Layer 2 network sequencers (components responsible for ordering and batching transactions) often operate as single points early on, introducing additional concentration risks.
The formation of economic monopolies in crypto is typically driven by a combination of factors: entry advantages, standardization, cost leadership, and regulatory compliance collectively build strong “moats.”
Step 1: Establish entry and recognition advantages. Leading assets or platforms become the default choice for newcomers, gaining early network effects.
Step 2: Build standards and ecosystems. A dominant stablecoin or API becomes the “default,” with wallets, exchanges, and applications prioritizing support. Developers build tools around these standards.
Step 3: Reinforce liquidity and cost advantages. Deeper order books, lower slippage, and broader trading pairs make it cheaper and more convenient to use the dominant platform—drawing in even more capital and users.
Step 4: Strengthen compliance and security credentials. Enhanced risk controls, better transparency, mature operations, and customer support reduce perceived user risks and solidify leadership.
Throughout this process, mining pools (organizations pooling miners’ computing power to increase mining success), validators (participants responsible for proposing and confirming blocks in proof-of-stake networks), and node service providers can also become concentrated due to scale and cost advantages.
Economic monopolies have both positive and negative effects on users. On the positive side, they can offer more consistent experiences and standardized interfaces. On the negative side, they reduce users’ bargaining power over fees and rules, limit innovation space, and increase single-point-of-failure risks.
Fees & Pricing: Dominant players gain stronger pricing power; transaction fees and swap routes may be more “predictable,” but diminished competition over time reduces pricing pressure beneficial to users.
Choice & Experience: When everyone uses the same stablecoin or node provider, alternative solutions become less visible or accessible, making it harder for users to find options that fit their needs.
Security & Compliance: Centralization increases the impact of technical failures or regulatory issues involving the leading provider. When handling funds, it is crucial to diversify risk rather than concentrating all assets in one place.
Typical cases of economic monopoly are found across assets, mining/staking concentration, transaction ordering, and infrastructure layers.
Stablecoin Dominance: As of 2025, USDT and USDC remain leaders in trading volume and liquidity due to strong network effects (source: CoinMarketCap stablecoin page, 2025-12). When most trading pairs revolve around these coins, alternatives struggle to achieve comparable depth or acceptance.
Mining Pool & Validator Concentration: Both Bitcoin and Ethereum have long exhibited high concentration among top mining pools or validators ([source: leading block explorers & mining pool stats, 2025-11]). While this boosts efficiency, it raises concerns about centralized block production strategies and network governance.
MEV Relay Concentration: MEV refers to opportunities for miners or validators to earn extra revenue from transaction ordering. Certain relays or transaction routers have maintained dominance ([source: Flashbots dashboard, 2025-10]), potentially impacting fairness and predictability in transaction inclusion.
Node & Infrastructure Services: Public RPC and block data services are dominated by a handful of providers that developers heavily rely on ([source: ecosystem tool directories & project statistics, 2025-12]). If a leading service faces restrictions, large numbers of applications are affected.
Exchange Concentration: Top exchanges often control the largest trading volumes and token listing power, enhancing user experience and operational security but raising concerns about market concentration and regulatory compliance.
Decentralization can alleviate economic monopolies but requires coordinated efforts in technology, governance, and ecosystem collaboration.
Technological Measures: Promote multi-client implementations and diverse node providers to reduce reliance on single infrastructures. Encourage decentralization and rotation mechanisms for Layer 2 sequencers to minimize single-point risks.
Governance Measures: Transparent protocol governance processes and open proposal channels allow community oversight and adjustment of rules. Key parameters—such as fees or caps—can be decided via on-chain voting or multi-signature mechanisms.
Ecosystem Collaboration: Foster open standards and interchangeable implementations so wallets, exchanges, and apps use common interfaces. Encourage diversification of funds and liquidity across multiple assets and platforms to break network effect lock-ins.
You can mitigate personal risks and costs from exchange monopolies through conscious diversification and informed comparisons.
Step 1: Diversify Asset Storage. Do not keep all funds on one platform or in one asset. Trade primarily on Gate while holding a portion in an on-chain non-custodial wallet, securely backing up your mnemonic phrases to lower single-point-of-failure risk.
Step 2: Compare Quotes & Depths. Before placing trades, check different trading pairs and order book depths—do not rely solely on a single liquidity source. On Gate, monitor various markets’ depths and slippage to improve execution quality.
Step 3: Monitor Transparency & Disclosures. Choose platforms that provide reserve proofs and risk disclosures; pay attention to announcements and security practices. Be extra cautious during major market events—manage your capital and leverage prudently.
Step 4: Establish Cross-Platform Contingencies. Set up price alerts and risk control rules; maintain backup withdrawal options and fiat channels. If one avenue becomes congested or restricted, you can quickly switch platforms.
Always assess platform compliance and technical risks ahead of time when handling funds; use high leverage or volatile assets cautiously.
Regulation and community governance can reduce concentration risks while preserving innovation—protecting user interests without stifling growth.
Regulatory Measures: Focus on transparency and competitiveness for key infrastructure and payment/settlement assets. Require disclosure of reserves and risk management practices; prevent unfair restrictions on interoperability.
Community Governance Measures: Promote open standards; fund multi-client development; encourage diverse operator participation for nodes and sequencers. For protocols with strong network effects, introduce anti-monopoly governance measures such as limiting single-entity control or implementing progressive decentralization roadmaps.
The main focus going forward is the “pace of decentralization adoption” versus “rebalancing network effects.” As of 2025, the industry is advancing decentralized Layer 2 sequencing, promoting multiple clients and relays, and discussing restaking—using existing staked assets for additional security services—and its associated concentration risks and governance challenges. With maturing open standards and cross-chain interoperability, both users and developers can expect more alternative paths.
At the same time, rising compliance and transparency requirements are pushing market leaders to improve disclosures and governance quality. Achieving a balance between innovation and competition will depend on whether communities are willing to bear short-term costs for greater diversity.
Economic monopolies are not exclusive to traditional industries—Web3 also faces centralization due to network effects, switching costs, and technical bottlenecks. Understanding how monopolies form and their impacts helps you make more robust asset allocation and product decisions. In practice, reduce personal risk by diversifying holdings, comparing market depths, monitoring transparency, and preparing contingency plans. At the ecosystem level, push for open standards, multi-client development, transparent governance—and gradually decentralize critical components. The future competitive landscape will be shaped by regulatory action and community collaboration; ultimately, rational user choices are vital to breaking the “winner-takes-more” cycle.
Economic monopolies typically fall into three categories:
Economic monopolies usually arise from several drivers:
In monopoly-dominated environments traders face several risks:
Look for indicators such as:
Decentralization can greatly reduce monopoly risks but cannot eliminate them entirely. Even in fully decentralized systems, factual monopolies can emerge—for example when a mining pool or large holder (whale) dominates block production or influences prices (as seen historically with Bitcoin). Thus an effective defense requires combining decentralized architecture with robust community governance mechanisms plus regulatory checks—a multilayered approach to curb monopolies effectively.


