A Comprehensive Study of Key Web 3.0 Components, Including Blockchain Wallets, Decentralised Finance (DeFi) and Institutional Staking
This report analyses the dynamic trends and changes taking place in the Web 3.0 landscape with main focus on blockchain wallets, decentralised finance (DeFi) and institutional staking services.
In addition to breaking down the Web 3.0 value chain, it examines the key DeFi players and solutions, as well as the different business models being adopted by the market.
Solutions identified include:
- Uniswap: DEX (Decentralised Exchange) built using automated liquidity provision on Ethereum
- Aave: A decentralised, non-custodial, liquidity protocol that matches lenders and borrowers
- Strike: Bitcoin payment provider using Lightning Network
- Ripple: A proprietary payment settlement system
While exploring the emerging institutional staking business models, the report also analyses the market reaction after the Ethereum (ETH)’ execution layer upgrade (Shanghai upgrade), activated on 14th May 2023, to provide post-upgrade insights, moving from a proof-of-work (PoW) to a proof-of-stake (PoS).
The final chapter of the study focuses on the global regulatory framework. It provides an analysis of the regulatory landscape in the US (federal and state initiatives) and Europe (MiCa regulatory framework), as well as El Salvador’s bitcoin legal tender law.
Table of Contents
1. Executive summary
2. Web 3.0 value chain
2.1. Breaking down the Web 3.0 value chain
2.2. Protocol layer
2.3. Infrastructure layer
2.4. Use case layer
2.5. Access layer
3. Blockchain wallets
3.1. Breakdown of the different Web 3.0 wallet categories
3.2. Ledger
3.3. Metamask
4. Decentralised finance (DeFi)
4.1. Defining DeFi
4.2. DeFi basics
4.3. Uniswap
4.4. Aave
4.5. Strike
4.6. Ripple
5. Institutional staking
5.1. Staking in a nutshell
5.2. Key assets and leading players
5.3. Shanghai upgrade
5.4. Kiln
6. Existing regulatory frameworks
6.1. Regulatory framework in the US
6.2. Regulatory framework in Europe
6.3. The case of El Salvador
Samples
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Methodology
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