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Expert Spotlight: The AI edge in European deal sourcing

March 05, 2026 | Blog

Expert Spotlight: The AI edge in European deal sourcing

Highlights:

  • Despite €1.2 trillion in 2025 EMEA deal value, identifying proprietary or off‑market opportunities remains a primary challenge in European deal sourcing
  • AI is reshaping dealmaking, with over 20% of M&A practitioners already use GenAI in their deal processes and 85% of PE and corporate leaders use GenAI in their M&A workflows
  • Success depends on combining AI-driven data enrichment with high-touch relationship building to establish credibility and secure founder trust early

European deal sourcing in 2026 is gaining momentum but finding the next high‑quality opportunity remains tougher than ever. With EMEA M&A deal value reaching nearly €1.2 trillion in 2025 – a 24.5% year‑on‑year jump – the market is seeing momentum across TMT, financial services, and industrials and chemicals. Despite ongoing geopolitical uncertainty, confidence strengthened late in the year, and deal teams entered 2026 with renewed urgency. Yet competition and fragmented data still slow the process. As highlighted in our recent webinar with Ben Cole (FPE Capital) and Robin Suresh (Grata), AI is reshaping this landscape by helping firms work smarter, move faster, and focus their efforts where they have the greatest impact.

Navigating the challenges

Identifying proprietary or off‑market opportunities is a primary challenge in European deal sourcing. The market is crowded with search funders, aggregators, private credit firms, and spin‑out private equity firms, all competing for the same deals. This high competition makes it difficult for firms to stand out and secure meetings with potential targets. Firms are using advanced data and technology tools to identify the right companies early and differentiate themselves through their specialism and track record.

Data fragmentation across countries and sectors is another significant hurdle. Diverse regulatory environments and varying data standards in European markets make it challenging to consolidate and compare financial information. This lack of clarity can lead to outdated or inaccurate decision‑making. Ai solutions can help unify global findings, consolidate financials, and enrich company profiles with context, enabling firms to make informed decisions based on accurate and up‑to‑date information. By continuously refreshing growth data, these tools ensure that deal teams have the latest insights.

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The growing role of AI in deal sourcing

The integration of AI into the deal sourcing process is becoming increasingly prevalent. AI tools automate research, filter data, and quickly identify precise targets. This technological advancement allows firms to scale their sourcing efforts despite limited team capacity. AI‑driven platforms like Grata and Blueflame AI provide a system of record for private markets, turning insights into actionable outcomes.

This shift is accelerating across the industry.  In fact, 21% of M&A practitioners already use generative AI in their deal processes, with adoption rising steadily year over year. At the broader enterprise level, GenAI integration has surged: 86% of corporate and private equity leaders report using GenAI in their M&A workflows, and 65% adopted it within the past year, underscoring how rapidly AI is reshaping dealmaking.

By leveraging AI, firms can accelerate sourcing, enhance due diligence, and speed up deal execution, ultimately improving their competitive edge in the market.

Balancing technology and human expertise

Building early connections with potential targets and establishing credibility are essential for securing deals. Firms must balance the use of technology with strong people skills to foster relationships and gain the trust of founders. Combining accurate data, advanced technology, and human expertise is key to navigating the complexities of the European deal sourcing landscape.

AI applications in sourcing are diverse, ranging from company screening and data integration to outreach and enrichment. The effectiveness of these tools heavily depends on the quality of the input data. While AI can handle large volumes of information and automate many tasks, the human element remains crucial to ensure accuracy and relevance. Balancing automation with human oversight is essential to avoid the pitfalls of relying solely on AI‑generated outputs, which can sometimes lead to mediocre results.

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Practical impact on workflows

The adoption of AI tools has revolutionized the way companies approach deal sourcing. These tools provide comprehensive and timely data, allowing firms to identify potential opportunities more efficiently. For instance, Grata’s ability to deliver detailed company insights quickly has proven invaluable for firms looking to maximize their time in the market. Integrating these tools into a company’s tech stack not only streamlines workflows but also enhances the overall quality of the sourcing process.

Conferences and industry events also benefit from AI integration, as tools like Grata can quickly screen attendee lists, saving valuable time and effort. This efficiency allows firms to focus on meaningful interactions and networking, further driving business development.

Despite some initial hesitancy around AI adoption, the tangible benefits in terms of productivity and revenue growth are becoming increasingly evident. As market education around AI continues to improve, more organizations are likely to embrace these technologies to stay competitive.

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