AI Agents Become a Top Web3 Investment with $1.39B Raised

7/2/2025, 11:10:27 AM
Intermediate
AI
This in-depth analysis examines the entire journey of AI agents from hype to real-world adoption, offering data-rich insights and industry perspectives to guide decision-making for investors, developers, and market observers.

With $1.39 billion raised and over 17,000 agents launched, AI is clearly one of the key narratives in Web3 this year

Since the beginning of 2025, AI-related on-chain activity has surged by 86%, reaching an estimated 4.5 million daily unique active wallets (dUAW). That puts AI at a dominance level of 19%, just behind gaming’s 20%, a remarkable shift considering AI’s market share was only 9% at the start of the year.

This explosive growth isn’t just about hype but, it reflects a structural change in how users are engaging with decentralized applications. Whether it’s through DeFi copilots, social agents, or autonomous gaming assistants, AI agents are becoming a new on-chain interface layer. They’re not replacing users; they’re extending them, automating, optimizing, and interacting on their behalf.

The data shows what the narrative confirms: AI has dominated the past month’s Web3 discourse, and will likely define its next phase. This report explores how AI agents are evolving, where they’re being used, what role tokens play, and how much capital is backing this shift.

Key Takeaways

  • AI on-chain dominance hit 19% in June, up from just 9% in January—an 86% growth in activity, reaching 4.5M daily unique wallets.
  • $1.39B was raised by AI agent projects in 2025 YTD, a 9.4% increase over total 2024 funding.
  • 17,124 agents have launched on Virtuals Protocol since November 2024—an average of more than 85 new agents per day.
  • The AI token market cap sits at $5.9B, with $1.4B in 24h trading volume, despite a 64% decline from early June highs.
  • Europe (26.2%) and Asia (21.9%) are the top regions engaging with AI dapps, followed by North America (15.8%).

Table of Contents

  1. What are AI Agents?
  2. AI Agent Tokens: utility, hype, and capital
  3. Top chains powering AI dapps
  4. Where are users coming from?
  5. Investment flows into AI Agents
  6. Closing words

1. What are AI Agents?

AI agents are autonomous software programs that perform tasks, make decisions, or interact with users, based on goals, prompts, or real-time data. While traditional AI agents operate across industries like finance, healthcare, or customer support, the Web3 ecosystem is now giving rise to crypto-native agents with distinct capabilities and roles.

In Web3, AI agents are evolving to specialize. Some act as on-chain DeFi agents, executing trades, managing yield strategies, or serving as portfolio copilots. Others are social agents, representing users in decentralized social apps, managing profiles, or even responding to messages and interactions. In the gaming space, we’re seeing a new category of game-native agents, AI companions trained on lore, game mechanics, or player behavior, serving as helpful guides or even opponents.

This isn’t theoretical. According to cookie.fun, a protocol tracking the agent economy, 1,748 AI agents are already active across various environments. On Virtuals Protocol, which allows users to create and deploy their own AI agents, over 17,000 agents have been launched since its inception in November 2024. The real number is likely even higher, as multiple chains are now prioritizing infrastructure for AI agent creation, training, and deployment.

The agent economy is taking shape—and it’s moving fast.

2. AI Agent Tokens: utility, hype, and capital

Most AI agents in Web3 don’t launch alone, they come with a token. These tokens can serve multiple roles depending on the project’s vision. In many cases, they are designed to power community governance, enable access to advanced features, or serve as a mechanism for funding development, especially as training and maintaining AI agents remains resource-intensive.

For others, the token is simply a capitalization strategy, a way to bootstrap liquidity, reward early adopters, or tap into market momentum. And in some cases, they’re closer to memecoins in AI clothing, tokens launched around vague agent narratives with little technical substance, riding waves of speculative hype.

Despite the noise, the AI agent token market has seen impressive traction. At the time of writing, the total market capitalization for AI-related tokens sits at $5.9 billion, representing 0.18% of the entire crypto market. Daily trading volume is significant too, crossing $1.4 billion in the last 24 hours.

However, the trend hasn’t been bullish recently. At the start of the month, the AI agent sector held a market cap of $16.6 billion, meaning the space has shed 64% of its value in a matter of weeks. This drop reflects broader market conditions, not just sentiment toward AI. But it also shows the volatility that comes with early-stage sectors where token hype often outpaces real utility.

AI agents are here to stay. But their tokens? The signal-to-noise ratio still needs work.

3. Top chains powering AI dapps

While AI agents are often the visible layer, interacting with users, executing trades, or providing in-game assistance, their success depends heavily on the infrastructure underneath. Chains that support high-volume AI dapps are effectively laying the foundation for AI agent deployment, training, and interaction.

Between January and June 24, 2025, the following chains have emerged as the most active in terms of AI dapp usage:

Matchain dominates with nearly 1.9 million daily users, pointing to a thriving AI infrastructure, driven by social or agent-facing dapps. opBNB and Nebula follow, both showing strong usage that are linked to lightweight to gamified AI services.

While not all of these dapps currently deploy agents, the momentum is clear. As AI agent frameworks mature, these chains could be positioned to onboard the next wave of autonomous agents, be it in DeFi, gaming, or social applications.

We’re likely still in the infrastructure phase of the AI agent movement, and these networks are leading the build.

4. Where are users coming from?

AI agents may live on-chain, but their users are distributed across the globe. Understanding where engagement is coming from helps paint a clearer picture of adoption trends, localization needs, and potential market opportunities.

Between January and June 2025, data from our own traffic reveals that Europe leads in AI-related dapp interactions, accounting for 26.2% of all sessions. Close behind is Asia, with 21.9%, followed by North America at 15.8%. While South America represents a smaller slice at 2.5%, its emerging user base is growing. Interestingly, a significant share, 33% comes from unspecified or less easily categorized regions, grouped here as “Other.” This includes traffic from anonymized sources, VPNs, or long-tail geographies.

This global spread indicates that AI agents are not a localized phenomenon. Whether it’s a DeFi agent managing trades in Asia, a social agent representing users in Europe, or gaming companions interacting with players in North America, the demand is diverse, and increasingly cross-continental.

As the sector matures, we expect more regionalized agent behavior, better language modeling, and even geo-specific agent personalities. For now, the playing field is broad, and the race for user mindshare is global.

5. Investment flows into AI Agents

The AI narrative continues to dominate headlines, and funding rounds. While centralized AI giants like OpenAI, Anthropic, and Mistral have captured billions in capital, the AI agent economy within Web3 is starting to draw serious attention of its own.

So far in 2025, $1.39 billion has been raised by AI agent projects representing a 9.4% increase compared to 2024. This signals growing conviction from investors that autonomous, on-chain agents could be the next frontier, not just an experimental layer. And while this number still trails centralized AI funding by several multiples, it’s worth noting that funding in the AI agent space now rivals or exceeds other Web3 verticals like blockchain gaming.

The comparison matters. Centralized AI investment is still dominant, with tens of billions flowing into model development, chips, and infrastructure. But in Web3, investors are increasingly seeing AI agents as a new primitive, one that could reshape how users interact with protocols, navigate dapps, or even automate personal financial strategies.

The momentum is building. And if this pace continues, 2025 could be the first year AI agents attract more capital than any other Web3 vertical.

6. Closing words

The rise of AI agents signals a deeper shift in how we interact with decentralized systems. From DeFi traders and social companions to game-native assistants, agents are quickly becoming more than experimental bots, they’re evolving into infrastructure.

The numbers support the narrative. More than 17,000 agents launched on Virtuals since late 2024. A growing $5.9B AI token market, even in bearish conditions. $1.39B in capital raised by agent-focused startups this year alone. And user engagement is global, with strong traction across Europe, Asia, and North America.

Still, challenges remain. Many tokens are driven more by hype than utility. Not all agents deliver on the promise of autonomy. And infrastructure across chains is still uneven. But as tools mature and real use cases take hold, the agent economy is moving closer to a new baseline, where interacting with AI on-chain is not the exception, but the norm.

The race is on to build smarter agents, stronger ecosystems, and clearer standards. And we’re still early.

Disclaimer:

  1. This article is reprinted from [DappRadar]. All copyrights belong to the original author [Sara Gherghelas]. If there are objections to this reprint, please contact the Gate Learn team, and they will handle it promptly.
  2. Liability Disclaimer: The views and opinions expressed in this article are solely those of the author and do not constitute any investment advice.
  3. Translations of the article into other languages are done by the Gate Learn team. Unless mentioned, copying, distributing, or plagiarizing the translated articles is prohibited.

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