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Visualizing How Much Countries Spend on R&D

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How Much Countries Spend on R&D

Visualizing How Much Countries Spend on R&D

Innovation can be a major competitive advantage for any developed economy.

However, achieving a sustainable rate of innovation isn’t necessarily a straightforward exercise. The reality is that innovation is a complex and difficult outcome to measure, and there are many different variables that factor into it at a national level.

Research and development (R&D) expenditure is certainly one of these factors – and while it doesn’t always directly correlate with innovation outcomes, it does represent time, capital, and effort being put into researching and designing the products of the future.

Measuring R&D Spend

Today’s infographic comes to us from HowMuch.net, and it compares R&D numbers for nearly every country in the world. It uses data from the UNESCO Institute for Statistics adjusted for purchasing-power parity (PPP).

As you can see, R&D expenditures are heavily concentrated at the top of the food chain:

RankCountryR&D Spending (PPP)Global share (%)
#1United States$476.5 billion26.4%
#2China$370.6 billion20.6%
#3Japan$170.5 billion9.5%
#4Germany$109.8 billion6.1%
#5South Korea$73.2 billion4.1%
#6France$60.8 billion3.4%
#7India$48.1 billion2.7%
#8United Kingdom$44.2 billion2.5%
#9Brazil$42.1 billion2.3%
#10Russia$39.8 billion2.2%
#11Italy$29.6 billion1.6%
#12Canada$27.6 billion1.5%
#13Australia$23.1 billion1.3%
#14Spain$19.3 billion1.1%
#15Netherlands$16.5 billion0.9%
All other countries$249.8 billion13.9%

Put together the numbers for the U.S. ($476.5 billion) and China ($370.6 billion), and it amounts to 47.0% of total global R&D expenditures. Add in Japan and Germany, and the total goes to 62.5%.

At same time, the countries left off the above list don’t even combine for 15% of the world’s total R&D expenditures.

As a Percentage of GDP

Measuring R&D in absolute terms shows where most of the world’s research happens, but it fails to capture the countries that are spending more in relative terms.

Which countries allocate the highest percentage of their economy to research and development?

RankCountryR&D (as a % of GDP)
#1South Korea4.3%
#2Israel4.2%
#3Japan3.4%
#4Switzerland3.2%
#5Finland3.2%
#6Austria3.1%
#7Sweden3.1%
#8Denmark2.9%
#9Germany2.9%
#10United States2.7%

As you can see, countries like South Korea and Japan allocate the highest portion of their economies to R&D, which is part of the reason they rank so highly on the list in absolute terms as well.

Meanwhile, there are some smaller economies – namely Israel (4.2%) – that spend a far higher portion than normal on research.

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Visualizing AI Patents by Country

See which countries have been granted the most AI patents each year, from 2012 to 2022.

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Visualizing AI Patents by Country

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.

This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.

From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.

YearChinaEU and UKU.S.RoWGlobal Total
20103071379845711,999
20115161299805812,206
20129261129506602,648
20131,035919706272,723
20141,278971,0786673,120
20151,7211101,1355393,505
20161,6211281,2987143,761
20172,4281441,4891,0755,136
20184,7411551,6741,5748,144
20199,5303223,2112,72015,783
202013,0714065,4414,45523,373
202121,9076238,2197,51938,268
202235,3151,17312,07713,69962,264

In 2022, China was granted more patents than every other country combined.

While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.

Key Facts About AI Patents

According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.

In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).

In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.

Learn More About AI From Visual Capitalist

If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.

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