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23 Mar 2025 — Jan's Rules for Building Extraordinary Companies:

IoT Scaling: Avoiding Data Overload in Explosive Growth

Is your IoT infrastructure ready for exponential data growth? Learn how to plan for scalability, avoid data bottlenecks, and maximise value.

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IoT Growth: Are You Ready for the Data Deluge?

In the Internet of Things (IoT) world, explosive growth isn’t just a possibility, it’s practically a rite of passage. One minute you’re managing a trickle of data, the next you’re facing a torrent. This isn’t a gradual incline; it’s a hockey stick curve that can leave unprepared businesses gasping for air. We’ve seen it time and again: companies caught off guard by the sheer scale of their own success.

The problem isn’t just the volume of data, it’s the velocity. Data arrives faster, demands quicker processing, and requires more sophisticated analysis. A business that once handled a single data point per day might suddenly find itself processing ten data points every fifteen seconds. That’s a 57600x increase. Did your data infrastructure design take such a leap into account? Probably not.

This isn’t some hypothetical scenario. It’s a real-world challenge facing IoT companies across industries, from smart homes to industrial automation. And unlike many other business types, for IoT companies, these kinds of growth spurts are not only realistic, they’re almost inevitable.

The Data Scaling Deep Dive

Technology scaling in the IoT sector demands foresight, a proactive approach to infrastructure design. It’s about anticipating the unpredictable and building systems that can adapt to exponential growth. It’s not enough to simply react to increasing data volumes; you need to be prepared for them.

This requires a fundamental shift in mindset. Instead of designing for your current needs, you need to design for your future potential. This means investing in scalable infrastructure, adopting flexible architectures, and embracing technologies that can handle massive data streams.

Consider a smart agriculture company that starts by monitoring soil moisture levels in a small number of fields. Initially, their data infrastructure is relatively simple. But as they expand to new farms and add new sensors (temperature, humidity, light levels), their data volumes explode. If they haven’t planned for this growth, their systems will quickly become overwhelmed, leading to data loss, performance bottlenecks, and ultimately, a loss of competitive advantage.

Technology scaling in the IoT sector demands foresight, a proactive approach to infrastructure design.

The key is to build a data infrastructure that can scale horizontally. This means adding more resources (servers, storage, network bandwidth) as needed, without requiring significant changes to the underlying architecture. Cloud-based platforms are particularly well-suited for this, as they offer virtually unlimited scalability on demand.

But scalability isn’t just about infrastructure. It’s also about architecture. A monolithic architecture, where all components are tightly coupled, can be difficult to scale. A microservices architecture, where components are loosely coupled and can be scaled independently, is much more flexible.

Scaling for Everyone

So, how does this apply to our different audiences?

For the Builders, the leaders of growing companies, this is a call to action. Don’t wait until you’re drowning in data to start thinking about scalability. Invest in your data infrastructure early and often. Adopt a flexible architecture that can adapt to changing needs. And most importantly, build a team with the skills and expertise to manage massive data streams. Remember that a stitch in time saves nine, and a well-planned architecture saves countless headaches down the road.

For the Buyers, the Venture Capital firms, Private Equity firms, Family Offices and Strategic Buyers, this is a critical due diligence point. When evaluating an IoT company, don’t just look at their current data volumes. Ask about their scalability plans. Do they have a clear understanding of how their data infrastructure will scale as they grow? Have they invested in the right technologies and architectures? A company with a well-defined scalability strategy is a much safer investment than one that’s simply hoping for the best.

For the Sellers, the owners of established, profitable businesses contemplating a sale, this is an opportunity to increase the value of your business. By investing in a scalable data infrastructure, you can demonstrate to potential buyers that your business is well-positioned for future growth. This can significantly increase the attractiveness of your business and help you achieve a higher valuation.

These perspectives are interconnected. Builders should be aware that their scalability plans will be scrutinised by potential buyers. Buyers should understand that a scalable data infrastructure is essential for realising the full potential of an IoT company. Sellers should appreciate that investing in scalability can significantly increase the value of their business.

The Automated Future

The future of IoT scaling is inextricably linked to automation, AI, and emerging technologies. Automation can help streamline data processing, reduce manual effort, and improve efficiency. AI can help analyse massive data streams, identify patterns, and make predictions. Emerging technologies, such as edge computing, can help distribute data processing closer to the source, reducing latency and improving performance.

However, technology is not a silver bullet. It’s essential to have a clear understanding of your business needs and to choose the right technologies for the job. Don’t get caught up in the hype. Focus on solutions that deliver tangible value and that can scale with your business.

The increasing demand for efficiency also means that IoT companies need to be more data-driven in their decision-making. They need to be able to collect, analyse, and act on data in real-time. This requires a robust data infrastructure, a skilled data science team, and a culture of data-driven decision-making.

Practical Advice

So, what are the key takeaways?

  • Plan for exponential growth: Don’t design for your current needs; design for your future potential.
  • Invest in scalable infrastructure: Choose technologies and architectures that can scale horizontally.
  • Automate data processing: Use automation to streamline data processing and reduce manual effort.
  • Embrace AI: Use AI to analyse massive data streams and make predictions.
  • Adopt edge computing: Distribute data processing closer to the source to reduce latency and improve performance.
  • Build a data-driven culture: Collect, analyse, and act on data in real-time.

Don’t wait until you’re drowning in data to start thinking about scalability. Invest in your data infrastructure early and often.

Ultimately, technology scaling in the IoT sector is about more than just technology. It’s about building a resilient, adaptable, and data-driven organisation that can thrive in a rapidly changing world. It’s about anticipating the future and building the systems and processes to meet it head-on.

At Skipa, we’re passionate about building extraordinary companies, and we believe that technology scaling is a critical component of that. We’d love to help you design and implement a data infrastructure that sets you up for success and helps you build an extraordinary company. Let’s collaborate to Build Extraordinary Companies.

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