Technology
Visualizing Major Tech Acquisitions (1991-2018)
Launch the interactive version below, or go to our story for simpler, static images
Interactive: Visualizing Major Tech Acquisitions (1991-2018)
To stay successful in tech, companies must find a way to walk alongside the cutting edge of innovation.
Companies do this partially by devoting a large portion of their resources towards research and development (R&D) – but to hedge their bets, these companies also are in constant negotiations to gobble up new startups that could be strategic to their futures.
In this giant game of Pac-Man, most of the acquisitions are small and sequential, just like the dots that make up the arcade game’s classic maze. That said, sometimes these tech giants get lucky, such as in Facebook’s acquisition of Instagram, and buyouts turn into power-ups that can change the dynamics of the game entirely.
Tech Acquisitions by Company
Today’s interactive infographic comes to us from IG and it allows you to compare the tech acquisitions made by dominant companies such as Facebook, Apple, IBM, or Cisco.
Acquisitions can be sorted by industry filters (i.e. e-commerce, security, etc.) and different acquiring companies can be switched in. There are also different tabs that show total M&A expenditures by company, M&A activity by CEO, and frequency of acquisitions measured in quantity per year.
The Big Picture
Before we go into specific acquisitions, let’s look at the big picture using images pulled from the interactive version of the graphic.
Here is a comparison of the number of acquisitions made since 1991, for each major company on the list:
Google has made the most acquisitions, averaging about 10 to 11 per year. That adds up to a total of 214 since the company was founded.
Interestingly, while Google has had the most acquisitions, it only ranks in 6th out of this group in terms of dollars spent. Giants like Microsoft, Cisco, and IBM may make fewer acquisitions, but the companies they do buy tend to be more established with higher valuations.
As an example of this: Microsoft bought LinkedIn in 2016 for $26.2 billion. That’s more than Amazon has spent on all of its acquisitions (including Whole Foods) combined.
The Big Five
Finally, here’s a comparison of the big five – Amazon, Apple, Microsoft, Facebook, and Google (Alphabet) – which are also the five largest companies by market capitalization in the United States.
On the interactive version, it’s possible to highlight each acquisition to get the deal value and company name.
But, even on the static version above, it’s noticeable that each of the Big Five has made at least one real sizable acquisition. Those are the circles that stand out the most on the timeline:
- 2011: Google buys Motorola for $12.5 billion
- 2014: Facebook buys WhatsApp for $19 billion, and Apple buys Beats for $3 billion
- 2016: Microsoft buys LinkedIn for $26.2 billion
- 2017: Amazon buys Whole Foods for $13.7 billion
The gobbling activity for these Big Five has continued into 2018, as well.
In fact, just in June 2018, Microsoft announced the acquisition of code repository GitHub for $7.5 billion. The deal is expected to close by the end of the year.
Technology
Charted: The Jobs Most Impacted by AI
We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.
Charted: The Jobs Most Impacted by AI
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.
In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.
Data and Methodology
To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.
With this analysis, researchers were then able to estimate how AI would impact different occupational groups.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.
Where AI will make the biggest impact
Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.
Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.
Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.
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