Digitalization marks a profound transformation in the global M&A market (Mergers & Acquisitions). Traditionally characterized by manual analysis, experience-based decision-making, and fragmented data structures, the transaction process is becoming increasingly automated and data-driven. In particular, the use of artificial intelligence (AI) tools—understood as systems for pattern recognition and autonomous analysis of large volumes of data—is leading to a structural realignment along the entire value chain. At the same time, the potential applications of AI tools are increasingly determining whether and at what valuation the sale of a company is (still) possible at all. But companies that develop such AI tools are also increasingly becoming the subject of a wave of consolidation in the M&A market.

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