Several mergers and acquisitions (M&A) involving tech companies over the past decade are well known – including Facebook’s acquisition of WhatsApp for US$19bn in 2014, Google’s acquisition of Motorola Mobility in the same year for US$12.5bn, and Microsoft’s acquisition of LinkedIn for US$26bn in 2016.
However, according to new Cullen International global research, looking at the hundreds of acquisitions carried out in that period by tech companies with a significant global footprint, such as Google, Amazon, Facebook and Apple (the so-called ‘GAFA’):
- most of those acquisitions regarded small scale start-ups;
- about one-third regarded companies outside the US; and
- very few were reviewed by competition authorities.
Not all acquisitions can be considered ‘killer’ acquisitions, the Cullen International report explains. However, policy makers around the world have started debating whether merger control rules should be amended to address new challenges in the fast-evolving global tech environment.
Free download of this month’s Global Trends editorial on tech M&As
To request the full research behind the report - our global benchmark on 'market power of big tech' - or a demo of the Global Trends service, please click on “Request Access”.
more news
15 December 25
Global trends in copyright and AI
Our latest Global Trends benchmark provides key insights on how 14 jurisdictions are addressing the growing intersection between copyright law and artificial intelligence (AI).
10 December 25
Recent initiatives to protect copyrighted works from unlicensed use in training AI models in the Americas
Our new benchmark compares new initiatives across the Americas that address the impact of artificial intelligence (AI) training on the creative sector, particularly regarding the use of copyright-protected works.
09 December 25
Initiatives to protect the creative sector from the unlawful exploitation of copyrighted works by AI systems in Europe
Our new European benchmark shows national debates on the impact of artificial intelligence on the creative sector, particularly regarding the use of copyright protected works to train generative AI systems.