GameFi赛道:资本疯狂 日活下降

蜂巢TechPublished on 2022-03-29Last updated on 2022-03-29

Abstract

3月,GameFi赛道融资不断,平台类项目metaENGINE、MirrorWorld分别获得400万美元的种子轮融资,虚拟战斗链游AQUANEE获得了多家机构的200万美元融资。

3月,GameFi赛道融资不断,平台类项目metaENGINE、MirrorWorld分别获得400万美元的种子轮融资,虚拟战斗链游AQUANEE获得了多家机构的200万美元融资。

FootprintAnalytics数据显示,截至目前,GameFi领域的总融资额度达49.9亿美元,在还未结束的3月,已经有30个项目获得了资本的青睐,而去年3月,仅有7个项目拿到了融资。

对比资本的疯狂,GameFi的日活人数却在下降。FootprintAnalytics数据显示,截至3月29日,GameFi的每日玩家人数为1098213,而10天前,日活还在1138989。

资本对GameFi的热情高涨,期冀它能接棒去年的热点DeFi,创造2000亿美元的资金吸引力,但用户对GameFi似乎有点厌倦,主打「PlayToEarn」(边赚边玩)的链游们,一旦失去收益的吸引力,游戏往往面临着流量的流失。

GameFi游戏仍然层出不穷,新游戏需要在玩与赚之间做出平衡。FootprintAnalytics分析社区建议用户,选择参与GameFi时,需要从日活、人均交易量等多个指标进行评估。

GameFi赛道融资额近50亿美元

仅3月,GameFi赛道有30个项目获得了投资,其中,获得A轮融资项目有1个,获得战略投资的有5个,有11个项目获得了种子轮融资,另有13个项目的融资轮次未知。在还未结束的3月,GameFi赛道的月内融资总额超4亿美元。

在公开可查的信息中,3月11日,由AI技术驱动的GameFi项目MirrorWorld完成了400万美元的种子融资,本轮融资由AlamedaResearch、GalaxyInteractive和RepublicCrypto共同领投。

3月4日,Web3游戏平台metaENGINE在由Lemniscap和JumpCrypto共同牵头的一轮融资中筹集了400万美元的种子资金,该平台旨在帮助GameFi开发人员在元宇宙中构建游戏体验。

3月2日,实时战斗和模拟人生类链游AQUANEE从M6、Polygon、Mindfulness和HG等投资机构获得超过200万美元的投资。

GameFi融资额上升,日活下降

FootprintAnalytics收录的数据显示,截至目前,GameFi赛道的融资总额已经接近50亿美元。可以预见,GameFi的资本狂热一时还不会熄火。

资本的疯狂来源于GameFi在去年表现出的潜力。

FootprintAnalytics数据显示,从去年3月开始,GameFi出现巨大增长,一直持续到8月,交易量趋于稳定。在此期间,宠物战斗类链游AxieInfinity引爆了「PlayToEarn」(边赚边玩)模式,大批同类游戏跟进。GameFi的交易在4月9日和12月27日经历了两个增长高峰,用游戏包装的DeFiKingdoms优化了DeFi的体验,带来了整个市场规模的又一轮扩张。诸如Ronin等专门支撑GameFi的侧链开始酝酿。最终,资本对该赛道的下注在第四季度达到巅峰。

然而,自上个月以来,承载GameFi的基础链的数量没有任何变化,但是每日玩家数量下降了11%,日活为1098213。这大概与整个加密资产市场在第一季度的低迷有关。当加密货币市场强劲时,GameFi市场的资产也会迎来高价并享有高流动性,但当整个市场下行时,游戏的日活和资产往往会暴跌。

这意味着,主打「PlayToEarn」的GameFi们必须在市场变化中寻求赚与玩的平衡,找到一条即便在加密资产熊市也能生存的道路。

三个关键指标评估GameFi游戏

「虽然GameFi的受欢迎程度持续增长,但在总共1322款游戏中,真正好玩的游戏仍然相对较少。」FootprintAnalytics分析社区认为,投资机构、玩家、分析师在评估GameFi时,应该超越表面,考虑游戏背后的数据,其中游戏的用户数、人均链上交易笔数、人均交易额是三个关键性的指标。

用户数量是GameFi生态系统健康运行的关键,它反映了游戏项目在用户中的受欢迎程度。

根据FootprintAnalytics的数据,GameFi用户数量自2021年4月以来一直在上升,并已达到平衡。这与许多项目的快速增长和整个市场的持续发展高度相关。

GameFi在各链上的活跃度表现

链上用户数显示,最近3个月用户较多的公链主要有WAX、Hive、Polygon和BSC。其中,链游Splinterlands在Hive链上的日活为30万,占该链上用户的98%以上,其原生TokenSPS售价不到0.1美元,其低廉的价格降低了玩家参与游戏的门槛。

此外,WAX链上的高用户数说明其生态系统中的游戏相比其他链更具粘性,比如,玩家可以在其链上免费玩AlienWorlds,玩几个小时就能赚到10到15美元。而Ronin链上的AxieInfinity在过去6个月中,日活从12万下降到约2万,原因在于大部分游戏用户的活动都是在链下进行的,只有涉及游戏道具的交易才会在链上进行结算。可见,高昂的链上Gas费用和低效的链上交易是其用户群减少的原因。

成功的GameFi为项目开发提示了经验——除了具有吸引用户的游戏类型外,还需要适用于所有加密用户并具有低门槛;PlayToEarn模式会持续受到用户欢迎;游戏要部署在具有低Gas费和高吞吐量的链上。

除了链上用户数之外,人均链上交易笔数也是GameFi的重要评估指标。根据FootprintAnalytics数据,WAX链上的人均交易笔数自2021年4月以来一直相对稳定,每天在35到50笔左右,而FarmersWorld和AlienWorlds等GameFi项目的交易笔数直接占据了WAX链上一半交易数量。

值得注意的是,从1月开始,Avalanche链上的平均交易笔数一直在增加,于3月16日达到峰值50笔。原本在DeFi领域占据主要地位的Avalanche开始在链游的推动下转向GameFiGameFi。例如,Crabada游戏,玩家通过采矿、繁殖、战斗、探索等操作来赚取收益,这款链游贡献了Avalanche链上交易数的大部分。

衡量用户人均转移资金量的人均交易额也是分析GameFi的重要指标,因为它反映了用户参与度以及产品Token经济学设计的稳健性。作为玩家,关注项目人均交易额趋势的稳定性十分重要,特别要注意用户数据的可持续增长和基于游戏的商定收入增长。

截至2月,Harmony、Ronin和以太坊区块链是目前GameFi人均交易额的主战场,这些链上的爆款链游的交易额大多在人均800美元到4000美元之间。

从资本介入的程度来看,2022年,GameFi仍然不会过时,新的挑战是对传统游戏的突破,PlayToEarn是GameFi的灵魂,而界面、游戏设计、底层网络的效率都将是GameFi大爆发前需要解决的问题。

Related Reads

US Calls for Restrictions on Sports Prediction Markets

The National Football League (NFL) has urged the U.S. Commodity Futures Trading Commission (CFTC) to tighten rules for prediction markets on sports events. In a July letter, the NFL argued that current proposals fail to adequately protect the integrity of games and market participants. Key demands include banning contracts on events easily manipulated by individuals (e.g., a kicker missing a field goal), clarifying definitions to prevent gambling-like contracts, and explicitly prohibiting trading based on non-public insider information. The league also called for restricted person lists, a ban on margin trading, advertising limits, stronger user protections, and a minimum age of 21. This push coincides with an ongoing jurisdictional dispute between the CFTC and several states. The CFTC claims exclusive federal oversight, classifying event contracts as swaps, while states argue these platforms violate local gambling laws. Recent legal actions in Michigan and Minnesota highlight the conflict, with a federal court temporarily blocking Minnesota from applying a new law to CFTC-registered platforms like Kalshi and Polymarket. Meanwhile, prediction markets are experiencing significant growth. In June, driven by events like the World Cup, Kalshi's trading volume exceeded $31 billion (85% from sports contracts), while Polymarket's global platform hit a monthly record of $10.8 billion. However, platforms face legal challenges, such as lawsuits from Kentucky accusing them of operating unlicensed sports betting disguised as prediction markets.

cryptonews.ru13m ago

US Calls for Restrictions on Sports Prediction Markets

cryptonews.ru13m ago

Peskov Says Russia Is Among Top Five Leaders in AI Race. What Do Global Rankings Say?

On July 27, 2026, Kremlin spokesman Dmitry Peskov stated that Russia remains among the top five countries in the global AI development race. He acknowledged Russian models still lag behind leading U.S. counterparts but claimed they have reached a "very high level," aiming to close the gap with "superhuman efforts." He highlighted the differing approaches of Russia's GigaChat, built from scratch, and Yandex, which initially used foreign technology. However, this claim is not supported by major international AI rankings. Stanford University's Global AI Vibrancy Tool (2024-25) ranks Russia 28th out of 36 countries. The top five are the U.S., China, India, South Korea, and the UK. The Stanford AI Index Report 2026 does not mention Russia's position, focusing instead on U.S. and Chinese leadership across various metrics like investments and model performance. In benchmarks, GigaChat ranks 25th on the Russian-language LM Arena. While it passed a financial analyst exam in December 2025, its business usage costs are reportedly tens to hundreds of times higher than China's DeepSeek. In related developments, President Putin signed a law on July 26, 2026, establishing a legal framework for sovereign AI models and granting developers access to state data. Previously, Russia joined 28 other nations, including China, to establish the World AI Cooperation Organization (WAICO) in Shanghai. The article notes that rankings vary due to different criteria, such as research, investment, infrastructure, or responsible AI governance. While Russian authorities are bolstering AI through legislation and international cooperation, independent analyses suggest the country faces significant challenges, including a hardware deficit for training models, which legal frameworks alone cannot resolve.

cryptonews.ru13m ago

Peskov Says Russia Is Among Top Five Leaders in AI Race. What Do Global Rankings Say?

cryptonews.ru13m ago

Trading

Spot
活动图片