Report Introduction

Developments in Artificial Intelligence (AI) are arguably the most fascinating of software innovations to emerge in recent years. This new wave has attracted increased consumer curiosity, and a number of industry experts have professed that adapting to the world of AI will be pre-condition for survival in the technology industry.


Artificial intelligence is programming designed to demonstrate self-learning capabilities. Rather than simply following fixed algorithms, AI has the potential to adapt as time progresses, making it an exciting prospect across all technology-oriented sectors.


Artificial Intelligence report just released

  • European acquirers are in strong position moving forward in the AI sector, with a rise of all European targets being acquired by intercontinental buyers
  • AI market size is forecast to grow from $21.46b in 2018 to $190b by 2025 at a CAGR of 36.62% 
  • Some of the biggest investments in the AI sphere went into robotic automation, autonomous vehicles and predictive analytics.



Executive Summary

Top Aquirers

Deal Geography

Where are the biggest deals happening in the world? Where should you concentrate your efforts to build buyers or disruptive businesses that could help transform your company?

A definitive list of the top acquirers: what does this tell us about the direction of the sector and how could this affect your company's M&A.

How much is your company worth? What should you be paying for your next M&A transaction? Get the essential overview on deal values.

Valuation Metrics

Top Buyers in the Report

Why has a new urgency returned to AI?

"AI and machine learning are most certainly among the most exciting software technologies right now. Regardless of the – partly – philosophical discussion as to whether this technology should be considered advantageous or threatening, AI does open up multiple opportunities.


We have seen a lot of activity in the computer vision space, as problems that were traditionally solved using deterministic algorithms are now being approached using technologies such as deep learning.


The important thing to note is that companies are starting to realise that they are sitting on large volumes of data that can drive AI, and becoming aware that they have to proof their „AI-readiness” in computer vision, language processing or any other field."


Heiko Garrelfs

Sector Principal

Hampleton Partners