Synthetic Data: Powering Compliant and Scalable AI for Forward-Thinking Organisations

Did You Know?

• By 2025, 60% of data used to train AI models across Europe will be synthetic, according to Gartner, marking a turning point in how organisations balance innovation and regulation.

  
  

• The global synthetic data market is forecast to reach $4.6 billion by 2032, with growth driven by increasing privacy obligations and the pressure to scale AI safely.

  
  

• Across Ireland and the EU, businesses already adopting synthetic data are reporting up to 70% fewer compliance breaches, not by avoiding risk but by eliminating it at the source.

In short, synthetic data is no longer a nice-to-have. Instead it's fast becoming a strategic necessity. For organisations operating under GDPR, national regulations, or sector-specific codes of conduct, it offers a powerful way to unlock value from AI without compromising privacy or control.

Why Synthetic Data?

At Spark, we work closely with teams navigating the daily tensions between innovation and oversight. Accessing rich, usable data is a major hurdle, especially in financial services, healthcare, the public sector, and other regulated domains.

Synthetic data solves for this. It is digitally generated information that mimics the structure and behaviour of real-world datasets, without containing any actual personal or sensitive data. In effect, it is your data’s “digital twin", statistically accurate, privacy-safe, and ready to power AI at scale.

Why Organisations Are Turning to Synthetic Data

• Privacy Built In: Synthetic data is anonymous by design. That makes it naturally compliant with GDPR and upcoming AI regulations, including the EU AI Act.

  
  

• Bias-Resistant and Scalable: AI models trained on synthetic data often perform as well as (or better than) those trained on real data without inheriting historical biases or hitting legal constraints.

  
  

• Fills Data Gaps: In cases where data is limited, like rare medical conditions or financial edge cases, synthetic generation fills those blind spots with usable, safe alternatives.

  
  

• Enables Secure Collaboration: Synthetic datasets can be shared freely across business units, borders, or third parties, without the risk of leaking real customer or citizen data.

  
  

Where Synthetic Data Is Already Making a Difference

• Financial Services: Irish and EU banks are generating synthetic account and transaction data to test fraud models—without ever touching real client records.

  
  

• Healthcare & MedTech: European hospitals and startups are using synthetic patient data to build diagnostic tools and simulate health outcomes, all while maintaining absolute confidentiality.

  
  

• Public Sector & Smart Cities: Government agencies are using synthetic data to design and test citizen services, traffic systems, and digital ID platforms in a safe, controlled way.

  
  

• Manufacturing & Industry 4.0: Advanced manufacturing firms are using synthetic sensor, process, and supply chain data to train predictive maintenance models, optimise factory automation, and simulate production outcomes without exposing proprietary or sensitive operational data.

  
  

• Travel & Mobility: Travel platforms and transport operators are generating synthetic booking, itinerary, and passenger flow data to stress-test systems, improve personalisation, and plan for peak traffic while keeping real customer identities fully protected.

How Spark Helps You Make It Real

At Spark, we help organisations move beyond theory. Our solutions make it possible to deploy synthetic data securely and effectively across teams, systems, and regulatory frameworks.

Here’s how we support your journey:

• AI and Data Platform Consulting: We design and deploy scalable, privacy-conscious platforms that integrate synthetic data as a core asset, whether you're starting fresh or modernising legacy systems.

  
  

• DataOps for Regulated Environments: From ingestion to insight, our DataOps approach streamlines and secures data pipelines for sensitive sectors, automating governance, documentation, and access control.

  
  

• Privacy-First AI DevelopmentWe build and test machine learning models on synthetic datasets, delivering accuracy without compromising auditability or fairness—critical under Irish DPC and EU guidelines.

  
  

The Future Is Privacy-First

European businesses are under more pressure than ever to move fast without falling foul of regulation. Synthetic data offers a smart way through preserving the insights you need to train AI, while keeping sensitive information fully protected.

And with new standards emerging across Europe, like the EU AI Act and industry, specific audit regimes this isn’t just a future consideration. It is a right-now imperative.

Let’s Make It Happen

Synthetic data is not a loophole or a temporary fix. It’s a strategic accelerator. With Spark, you gain a partner who understands the regulatory landscape and knows how to make AI work in complex, high-trust environments.

Whether you’re in Dublin, Berlin, or Brussels, if you want to put your data to work, without crossing legal or ethical lines, we’re here to help.

🔗 Explore our services or get in touch to start your synthetic data journey.