Genuine question I’ve been thinking through.
Let’s assume the projections are even partially correct and tokenization scales into a multi-trillion-dollar market over the next decade. A lot of estimates point to $10T or more by 2030.
So where does the value actually accrue?
Most people would say exchanges, platforms, or asset issuers. That makes sense on the surface.
But every one of those depends on one thing first.
Pricing.
Without valuation, you can’t trade an asset. You can’t lend against it. You can’t even define its risk profile. It all starts with a number that people trust.
And that number doesn’t stay static.
Assets need to be revalued constantly. Market conditions change. Demand shifts. Risk evolves. That means valuation becomes a continuous process, not a one-time event.
From a business perspective, that’s interesting.
Instead of a single transaction, you get multiple touchpoints across the lifecycle of an asset. Issuance, collateralization, secondary trading, reporting, liquidation. Each one potentially monetizable.
Now layer in AI.
Instead of manual processes that take days, you get near-instant valuation that scales across thousands or millions of assets. Over time, the system improves as more data flows through it.
That’s where it starts to look less like a service and more like infrastructure.
Which is why names like Datavault AI Inc. have been popping up more in my research.
They’re positioning around valuation and data rather than just tokenization itself. And with \~$39M revenue in 2025 and a profitable quarter already on record, it feels like they’re starting to convert narrative into actual business activity.
If this plays out, the biggest winners might not be the ones issuing tokens.
It might be the ones pricing them.
Would be интересно услышать другие мнения on this angle.