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  • Coin Marketcaps
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  • Web 3
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    Can Snoop Dogg’s Telegram Drop Revive a Slumping NFT Market?

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Home Web 3

How the $1.4 billion crypto prediction market industry took off in 2024

September 19, 2024
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How the $1.4 billion crypto prediction market industry took off in 2024
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IOT in E-Commerce Market Is Going to Boom | Major Giants Amazon,Alibaba,eBay

Enhancing Security in Online Gambling with Blockchain Technology

Prediction markets are experiencing growth, with platforms like Polymarket advancing the sector. Castle Capital reported in its latest deep dive that these markets enable users to bet on future events using crypto, moving traditional gambling into a decentralized domain. This shift allows participants to trade against each other rather than a centralized house, increasing transparency and resistance to manipulation.

Castle Capital outlined how prediction markets were historically centralized, limiting user participation and flexibility. The introduction of blockchain technology has allowed these markets to become decentralized, allowing users to create their own markets and conditions. Since the launch of another prediction market, Augur, in 2015, prediction markets have been recognized as a prominent application of blockchain technology, although mainstream attention has only recently intensified.

The sector’s total value locked has reached $162 million, significantly increasing user engagement and transaction volumes. Platforms like Azuro and Polymarket have facilitated this growth by offering different approaches. Polymarket, based on Polygon, operates using an order book model, focusing on major political and news-related events. It has processed over $1.4 billion in volume, becoming a key platform for betting on events like the US presidential elections.

Prediction Markets Volume (Castle Capital)
Prediction Markets Volume (Castle Capital)

Castle Capital explained that Azuro utilizes a peer-to-pool design, allowing users to provide liquidity to pools that serve multiple markets. This model diversifies risk and improves capital efficiency, catering primarily to sports betting. Azuro has handled over $200 million in prediction volume, attracting users who engage in recurring bets across various sports events.

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Both platforms aim to expand their market offerings. Polymarket seeks to reduce its reliance on political events by adding more diverse markets, while Azuro reportedly plans to include political and news markets alongside sports. The growth of these platforms highlights the increasing interest in decentralized prediction markets as tools for gauging public sentiment.

Castle Capital outlined the challenges that remain for mainstream adoption, including liquidity issues, regulatory uncertainties, and the need for improved user experiences. Ensuring reliable oracles and data accuracy is crucial, as is addressing scalability concerns on blockchain networks. Overcoming these obstacles requires innovation and engagement with regulatory bodies.

As Castle Capital noted, prediction markets have the potential to provide accurate public sentiment on various topics, moving beyond seasonal hype to become integral tools for decision-making. Integrating artificial intelligence and expanded market offerings may enhance their utility and appeal. Prediction markets could offer news outlets decentralized sentiment data and influence political discourse.

The future of prediction markets appears promising, with platforms like Azuro and Polymarket at the forefront. Their continued growth and adaptation may solidify their position in the crypto landscape, offering valuable insights and opportunities for users forecasting future events.

According to Castle Capital’s report, the evolution of prediction markets reflects a broader trend of increasing adoption of decentralized applications. However, whether these platforms can sustain their momentum and navigate the challenges ahead to achieve mainstream acceptance remains to be seen.

Castle Capital’s complete deep dive report is available as part of its Castle Chronicles series.

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