{"id":4017,"date":"2025-01-08T17:17:53","date_gmt":"2025-01-08T17:17:53","guid":{"rendered":"https:\/\/aventis.local\/?p=4017"},"modified":"2026-11-09T22:51:43","modified_gmt":"2026-11-09T22:51:43","slug":"ma-ki","status":"publish","type":"post","link":"https:\/\/aventis-advisors.com\/de\/ma-ki\/","title":{"rendered":"M&A im KI-Bereich: 2022-2026"},"content":{"rendered":"\n

In the last two years, AI has become the most talked about technologies in the world. AI-native products are revolutionizing how things are done – whether it’s in our personal lives or in companies.<\/p>\n\n\n\n

With the launch of breakthrough LLM models like ChatGPT, more and more AI start-ups emerged. This was a boost to venture capital firms that ramped up investments in AI companies, attracted by the sector\u2019s high growth potential.<\/p>\n\n\n\n

Given AI’s rapid expansion, companies are jumping on the AI train to get the first mover advantage. Microsoft was amongst the first big tech companies to announce a $10 billion investment in OpenAI in 2023.<\/p>\n\n\n\n

While companies like Microsoft and Amazon have already made significant investments in the space, we are now seeing an increasing number of firms acquiring AI businesses<\/strong> to maintain their competitive edge in the AI race.<\/p>\n\n\n\n

This analysis covers M&A activity in AI industry<\/strong> and is complementary to our AI Valuation Multiples<\/a> research. Understanding the strategic motivations behind AI M&A deals<\/strong> will help us gain deeper insights into the factors driving valuations and the overall trajectory of the AI industry.<\/p>\n\n\n\n

Methodology<\/h2>\n\n\n\n

Our analysis is based on our deal database, built from Mergermarket and public sources (news articles, company press releases and annual reports). We exported over 1,100 deals that were then reviewed for the following criteria:<\/p>\n\n\n\n