AI Studies

Top 100 R&D Spenders

We reviewed 100 of the top R&D spenders, as per a report by the EU Industrial R&D Investment Scoreboard, to compare the R&D spending of AI and non-AI companies.

For over 20 years, the EU Industrial R&D Investment Scoreboard has monitored and benchmarked the performance of leading global companies against leading EU companies. 

In their 2023 report, they looked at the world's top 2,500 R&D (Research & Development) spenders. The report notes that while the industrial and automotive sectors saw declining R&D shares, ICT services (software, hardware, and health sector) showed continued strength.  

AI R&D Spenders

The reports include companies from these regions: 

  • US: 828 companies 
  • EU:  368 companies
  • China: 680 companies
  • Japan: 230 companies
  • Rest of the world: 399 companies 

We analyzed the top 100 R&D US spenders. Here is what we found: 

  • 63% of the top 100 are AI companies
  • The top 100 R&D companies in the US spent 427 billion dollars on R&D in 2022.
  • The top 5 companies contributed 35% ($150 billion) of that spending. 

Non-AI R&D Spenders

63 of the Top 100 R&D Spenders Were AI Companies

Top 100 R&D Spenders Were AI Companies in 2023

Average R&D Spending

In our analysis of the top 100 R&D spenders in the US, we found that the average total spending on R&D was $4105 million. On average, AI companies spent significantly more than non-AI companies —  AI companies spent $4921 million dollars on R&D, while non-AI companies spent $2714 million dollars.

Average R&D Spending — AI vs. Non-AI Companies (Top 100 US Companies)

Average R&D Spending for AI vs. Non-AI Companies

Average R&D Growth Percentage

Further, through our analysis of the top 100 R&D spenders in the US, we found that the average growth percentage in R&D spending from the previous year was 14.46%. 

AI companies’ average percentage of growth in R&D spending increased by 1.5% more than non-AI companies — in the previous year, AI companies’ average growth percentage was 15.1%, whereas the average percentage of growth for non-AI companies was 13.4%

Average R&D Growth — AI vs. Non-AI Companies (Top 100 US Companies)

Average R&D Growth Percentage

Average Number of Employees 

We also looked at the average number of employees among the top 100 R&D spenders for AI companies vs. non-AI companies. The average number of employees highlights the workforce size and the potential human resource investment differences. Our findings:

  • The average number of employees for the Top R&D AI spenders is 63,986.
  • The average number of employees for the Top R&D non-AI spenders is 43,337.
  • The total average number of employees for the Top 100 R&D companies is 56,345.

Average Number of Employees: AI vs. Non-AI Companies

Average Number of Employees for AI vs. Non-AI Companies

Sources: EU Industrial R&D Investment Scoreboard

Methodology and Resources 

Here is the process we used to gather and analyze our data. To obtain the percentages of AI companies from all of our data lists: 

  • First, companies were manually labeled to identify whether they were an AI company or not. 
  • Next, facebook/bart-large-mnli was used to classify each company based on their Prospectus/About me. 
  • After reviewing the list of companies from the classifier, a second round of manual checking was applied. This involved looking at the company Prospectus/About me and their websites to further curate the list of companies. 

All data was collected from cited sources, the official SEC EDGAR database, and/or both for cross-referencing and checking data accuracy and integrity.

Jonathan Gillham

Founder / CEO of Originality.ai I have been involved in the SEO and Content Marketing world for over a decade. My career started with a portfolio of content sites, recently I sold 2 content marketing agencies and I am the Co-Founder of MotionInvest.com, the leading place to buy and sell content websites. Through these experiences I understand what web publishers need when it comes to verifying content is original. I am not For or Against AI content, I think it has a place in everyones content strategy. However, I believe you as the publisher should be the one making the decision on when to use AI content. Our Originality checking tool has been built with serious web publishers in mind!

More From The Blog

AI Content Detector & Plagiarism Checker for Serious Content Publishers

Improve your content quality by accurately detecting duplicate content and artificially generated text.