We’re standing at a fascinating turning point in tech. The internet as we know it is transforming rapidly, driven by AI and the way it uses and interprets data. I’ve been carefully tracking these shifts, and one trend is becoming clear:
The future internet will revolve around data—and particularly around who controls, structures, and provides it.
Industry experts call this model Data-as-a-Service (DaaS), and it’s fundamentally changing the landscape for businesses everywhere.
Understanding Data-as-a-Service (DaaS) in Simple Terms As businesses, we generate valuable data every day - customer behavior, market trends, operational figures etc. But instead of letting it sit unused, what if we could package and sell it, creating a new, recurring revenue stream ?
That’s exactly what DaaS enables.
Think of it like streaming services replacing DVDs. Businesses used to store and manage data internally, just as people once bought physical discs.
But now, just as entertainment moved to on-demand streaming, DaaS allows us to offer our data in a structured, subscription-based model.
Here’s how it works:
We organise and structure the data you already collect. We package it into a usable format through APIs or a platform. Other businesses pay to access your data on demand. Instead of data being just an internal asset, it becomes a product - one that continuously generates revenue while delivering value to your industry.
I believe businesses that adopt DaaS early will get ahead, turning their existing data into a steady revenue stream and changing how their industry uses information. This shift is happening fast - every industry will need to adapt. And if we don’t, our competitors will.
Why DaaS is Quickly Becoming Essential The reason DaaS is gaining momentum so rapidly is closely tied to AI’s exponential adoption. AI systems aren’t inherently clever; they rely heavily on structured, high-quality, and continually refreshed data. Without easy access to reliable data, even the most sophisticated AI tools fail to deliver value.
Businesses, governments, and researchers are rapidly realising this dependency. As a result, demand for structured, real-time data feeds is surging. Companies that provide accurate, timely, and insightful datasets naturally become central players in their ecosystems.
In fact, industry projections underline just how quickly this market is growing:
In 2023, the global DaaS market reached approximately $14.36 billion. By 2030, it’s projected to grow at a compound annual growth rate (CAGR) of around 28%, surpassing $76 billion. Clearly, organisations are increasingly seeing data access not merely as a technical challenge, but as a core strategic priority.
The Shift to AI-Enabled Knowledge Bases As I look ahead, I can see the future internet shaped largely by intelligent, self-updating knowledge bases. Rather than searching broadly across the web, users will directly query highly specialised AI-driven knowledge bases to obtain precise, contextual, and timely answers.
We expect businesses and institutions of all types to leverage these specialised data-rich knowledge bases internally and externally.
Internally, they’ll serve as single sources of truth, empowering quick and informed decision-making.
Externally, they represent significant opportunities for organisations to monetise unique datasets by providing subscription-based, structured data to others.
This future is already taking shape:
Businesses are developing AI-powered internal knowledge bases, streamlining workflows, and accelerating decisions. Forward-thinking organisations are beginning to package and monetise their own proprietary data, creating entirely new revenue streams. If these predictions are correct, however, this leads to some serious questions about data quality and who should be trusted with this monumental task. (But that is a whole other blogpost).
Why You Should Be Thinking About DaaS Right Now If you have valuable data , you have two options: let it sit unused or turn it into a product that others will pay for.
1. Get Ahead of Your Competitors Other companies in your industry are already paying for real-time data - the question is, why aren’t they paying for it from you?
If your business has unique, hard-to-find, or industry-specific data , you could be the provider that others depend on.
2. Build a Recurring Revenue Stream Unlike physical products, data doesn’t run out . Once you structure and automate it, you can sell it over and over again with minimal extra effort.
This makes DaaS one of the most scalable, high-margin revenue models out there —your data works for you, even while you sleep .
3. Make Smarter, Faster Business Moves Companies using real-time data don’t just react to trends - they stay ahead of them .
When you provide data through DaaS, you’re not just making money - you’re shaping how businesses in your industry operate . That’s an incredibly powerful position to be in.
Final Thoughts: The Future is Data-Driven - Are You Ready? AI-driven knowledge bases and real-time data subscriptions aren’t just ideas for the future - they’re happening right now . Businesses that act early will own this space , while those who wait will end up paying for data instead of selling it .
At Vibrancy.ai , we help businesses turn their data into structured, scalable products - without the technical headaches. If you’re curious about how DaaS could work for you, let’s talk. Reach out at admin@vibrancy.ai.
The businesses that control the data will define the future . Make sure you’re one of them.
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