Wall Street’s Getting Tokenized
Tokenization Is Eating Finance
“If you're not tokenizing, you're fossilizing.” — Mark Fidelman
Welcome to this week's edition of Tokenized Insider, where we distill the latest developments in tokenization, real-world assets (RWAs), crypto regulation, and AI. Let's dive into the top stories shaping the digital asset landscape.
🔥 Top Headlines
💸 Ripple & BCG Forecast $18.9T Tokenized Asset Market by 2033
Ripple, in collaboration with Boston Consulting Group, projects that the tokenized asset market could surge from $0.6 trillion to $18.9 trillion by 2033. This growth is anticipated to be driven by regulatory clarity, institutional adoption, and advancements in financial infrastructure. GlobeNewswire
🏦 Mantra Launches $108M Fund for RWA Innovation
Mantra has unveiled a $108 million fund aimed at supporting startups focused on real-world asset tokenization, particularly in Southeast Asia and the Middle East. This initiative underscores Mantra's commitment to fostering innovation in the RWA space. The Cryptonomist
🔗 DigiFT and IOST Partner for Institutional-Grade Tokenization
DigiFT has partnered with IOST to create a regulatory-compliant platform for tokenizing real-world assets. This collaboration aims to provide institutional investors with secure and transparent access to tokenized yield opportunities, leveraging IOST's scalable infrastructure. GlobeNewswire\
🧱 DigiShares Expands Tokenization Services to Binance Smart Chain
DigiShares has announced that its platform for real estate tokenization now fully supports the Binance Smart Chain. This expansion facilitates token minting and trading, offering enhanced scalability and reduced transaction costs for users. digishares.io
🏗️ Deloitte Projects $4T Tokenized Real Estate Market by 2035
Deloitte forecasts that the tokenized real estate market could reach $4 trillion by 2035, growing annually at 27%. This growth is expected to be fueled by operational efficiencies and broader investment access enabled by blockchain-based tokenization. GlobeNewswire
🧠 AI Enhances Blockchain Security and Efficiency
The integration of artificial intelligence into blockchain technology is improving security measures and operational efficiency. AI applications in blockchain include fraud detection, smart contract auditing, and predictive analytics, contributing to more robust and scalable decentralized systems.
Here are some major tokenization announcements from TOKEN2049 Dubai last week:
🏗️ MultiBank Group & MAG Launch $3B RWA Tokenization Deal
MultiBank Group, in collaboration with MAG Lifestyle Development and blockchain firm Mavryk, announced a $3 billion initiative to tokenize premium real estate assets, including The Ritz-Carlton Residences in Dubai. This marks one of the largest real-world asset tokenization efforts to date, aiming to make high-value properties accessible to global investors via blockchain. Decrypt
🛡️ Oxbridge/SurancePlus Introduce High-Yield Tokenized Reinsurance
Oxbridge Re Holdings and its subsidiary SurancePlus unveiled tokenized reinsurance products, offering targeted annual returns of 20% and 42% through EtaCat Re and ZetaCat Re, respectively. These offerings aim to democratize access to high-yield, uncorrelated investment opportunities backed by blockchain technology. GlobeNewswire
🏢 DAMAC Partners with MANTRA for $1B Asset Tokenization
Dubai-based developer DAMAC Group signed a $1 billion deal with blockchain platform MANTRA to tokenize real-world assets in the Middle East. The partnership will list DAMAC’s assets on the MANTRA blockchain, enhancing liquidity and accessibility for investors. Reuters
⚠️ OKX MENA CEO Advocates for Practical RWA Tokenization
At TOKEN2049, OKX MENA CEO Rifad Mahasneh emphasized the importance of real-world utility in asset tokenization projects. He cautioned against hype-driven initiatives, advocating for solutions that provide tangible, everyday value to users. Cointelegraph
These developments underscore the rapid evolution and growing significance of real-world asset tokenization in the global financial landscape.
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