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Ranked: The Companies That Sell the Most AI Chips

2026-04-23 21:36:05

Ranked: The Companies That Sell the Most AI Chips

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Nvidia supplied nearly two-thirds of AI compute capacity in Q4 2025, far ahead of all rivals combined.
  • Google ranked a distant second, with less than one-third of Nvidia’s output.
  • AMD, Amazon, and Huawei form a smaller second tier, highlighting how concentrated AI compute remains.

Nvidia’s grip on the AI boom remains overwhelming.

In Q4 2025, the company shipped nearly two-thirds of all measured AI compute capacity—more than its closest competitors combined. While Google, Amazon, and others are scaling up their own chips, the gap between first and second place remains striking.

This visualization, part of Visual Capitalist’s AI Week sponsored by Terzo, ranks the world’s largest AI chip designers using data from Epoch AI’s Chip Sales database, which estimates compute capacity across leading architectures.

The Biggest AI Chip Sellers

Even as more companies entered the AI chip market, one still towered over the rest in Q4 2025: Nvidia.

To make different chips comparable, the data is converted into “H100 equivalents”—a standardized measure based on Nvidia’s flagship AI GPU.

Rank Manufacturer Q4 2025 Chip Sales (H100 equivalents)
1 Nvidia 2,957,362
2 Google 976,313
3 AMD 226,485
4 Amazon 221,354
5 Huawei 131,964

Nvidia didn’t just lead—it dominated. Its 2.96 million H100-equivalent shipments in Q4 2025 exceeded the combined total of every other company in this ranking.

AMD (226k) and Amazon (221k) formed a much smaller second tier, followed by Huawei (132k). Together, the rankings show that while the market is broadening, AI compute shipments remain highly concentrated at the top.

As demand for AI infrastructure accelerates, the key question is whether competitors can meaningfully close this gap or whether Nvidia’s early lead will translate into long-term dominance of the AI stack.

What H100 Equivalent Compute Measures

This chart measures compute capacity, not units sold or revenue. Epoch AI defines H100e as H100-equivalent compute capacity, converting each chip’s peak dense 8-bit operations into the equivalent number of Nvidia H100 GPUs.

Epoch AI uses this measure because it is more intuitive than citing raw operations per second across different chip families.

Still, the firm notes that H100e is an imperfect proxy, since real-world performance also depends on factors like memory bandwidth, software ecosystems, and how chips are networked into servers and clusters.

Inside the Methodology

These figures are estimates rather than exact reported sales. Epoch AI says chipmakers do not consistently disclose precise volumes, and most of its uncertainty ranges span roughly a factor of 2x around the median estimate.

The dataset also does not track all AI chip production. Instead, it focuses on the largest designers of dedicated AI accelerators—Nvidia, Google, Amazon, AMD, and Huawei—which Epoch AI says account for the large majority of global AI compute capacity.

Learn More on the Voronoi App

If you enjoyed today’s post, check out The Global Semiconductor Industry, by Market Cap on Voronoi.

 

Mapped: Where Americans Spend the Most on Gas

2026-04-23 19:41:38

See more visualizations like this on the Voronoi app.

Map showing the average monthly cost of gas per state per driver based on April 15 prices.

Use This Visualization

Mapped: Where Americans Spend the Most on Gas

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Americans can spend more than 2x as much on gas per month depending on where they live.
  • Longer driving distances—not just gas prices—are the biggest driver of higher monthly costs.
  • Wyoming drivers face the highest monthly costs ($279), while New York drivers pay the least ($132).

Gas prices may grab headlines, but they don’t tell the full story of what Americans actually spend to fuel their cars.

This map estimates monthly gas costs by state using April 15, 2026 fuel prices and average driving distances from the Federal Highway Administration, via FinanceBuzz.

The key pattern: distance drives cost. In lower-density states, longer commutes push monthly spending far above the national average, while dense Northeast states benefit from shorter trips and significantly lower fuel bills.

Ranked: Monthly Gas Cost by State

The table below shows estimated monthly gas costs, based on April 15, 2026 fuel prices by state, average miles driven per driver, and a fuel efficiency of 25.6 miles per gallon.

Rank State Avg. Monthly Spend Price of Gas (Apr 15th) Annual Miles Per Driver
1 Wyoming $279 $3.89 21,986
2 Indiana $244 $3.88 19,296
3 Mississippi $243 $3.74 19,910
4 New Mexico $236 $3.96 18,321
5 Missouri $228 $3.67 19,049
6 California $225 $5.88 11,780
7 Alabama $221 $3.84 17,728
8 Utah $216 $4.21 15,725
9 Kentucky $212 $3.98 16,330
10 Tennessee $208 $3.86 16,558
11 Idaho $207 $4.34 14,643
12 North Dakota $207 $3.62 17,560
13 Nevada $205 $4.96 12,716
14 Arkansas $205 $3.65 17,287
15 Arizona $205 $4.66 13,501
16 Hawaii $204 $5.65 11,115
17 Oklahoma $202 $3.44 18,031
18 Georgia $201 $3.68 16,763
19 Louisiana $201 $3.75 16,452
20 Montana $200 $3.90 15,775
21 Vermont $200 $4.09 15,048
22 Texas $198 $3.77 16,125
23 Oregon $195 $5.00 12,016
24 Virginia $192 $3.97 14,877
25 Wisconsin $192 $3.78 15,580
26 Florida $191 $4.15 14,179
27 North Carolina $191 $3.86 15,198
28 South Carolina $186 $3.79 15,075
29 Maine $186 $4.02 14,185
30 South Dakota $185 $3.68 15,424
31 Kansas $182 $3.51 15,941
32 West Virginia $180 $3.93 14,091
33 Nebraska $179 $3.63 15,157
34 Washington $178 $5.39 10,125
35 Maryland $177 $4.10 13,228
36 Illinois $173 $4.36 12,154
37 Minnesota $172 $3.71 14,272
38 Alaska $169 $4.64 11,173
39 Iowa $167 $3.65 14,077
40 Ohio $165 $3.80 13,345
41 Michigan $165 $3.92 12,906
42 New Hampshire $161 $3.96 12,511
43 Massachusetts $161 $3.97 12,472
44 Colorado $160 $3.96 12,426
45 Connecticut $159 $4.08 11,974
46 Pennsylvania $151 $4.13 11,189
47 New Jersey $150 $4.00 11,536
48 Delaware $140 $3.97 10,854
49 Rhode Island $135 $3.97 10,411
50 New York $132 $4.13 9,815
-- 🇺🇸 U.S. State Average $190 $4.07 14,558

Drivers in the most expensive states spend more than twice as much per month on gas as those in the cheapest—driven largely by how far they travel, not just fuel prices.

Wyoming drivers face the highest monthly gas costs, at $279. Wyoming drivers log over 1,830 miles per month—more than 50% above the U.S. average—making distance the primary driver of their higher fuel costs.

In contrast, New York drivers spend $132 per month, the least nationwide. Given its high density, drivers average 817 miles per month on the road, the lowest overall. A cluster of Northeast states follow, including Rhode Island ($135), and Delaware ($140), all with low mileage rates.

The gap shows that where you live can matter more than gas prices themselves when it comes to monthly fuel costs.

Why This Matters

Ultimately, gas prices tell only part of the story.

For many Americans, especially in rural states, distance—not price—is the biggest driver of fuel costs. That means even if gas prices fall, millions could still face high monthly bills simply because of how far they need to travel.

From dense Northeast states to wide-open Western regions, where you live can mean paying thousands more per year just to get around. And with gas prices still volatile in 2026, that gap could widen even further.

Learn More on the Voronoi App

To learn more about this topic, check out this graphic on the most reliable used-car brands in America.

Mapped: Where Populations Are Booming and Shrinking by 2050

2026-04-23 02:06:33

See more visualizations like this on the Voronoi app.

Map showing population change projections by country from 2025 to 2050.

Where Populations Are Booming and Shrinking by 2050

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Sub-Saharan Africa is set to drive the majority of global population growth through 2050.
  • Several major economies—including China, Japan, and much of Europe—are projected to shrink.
  • The Democratic Republic of Congo could nearly double its population, the fastest growth globally.

The world’s population is projected to grow by 1.4 billion people by 2050—but that growth is becoming increasingly concentrated in a handful of regions.

Using data from the United Nations’ World Population Prospects 2024, this map shows where populations are rising fastest—and where they are entering long-term decline. The contrast is stark: parts of sub-Saharan Africa are set to nearly double in size, while several of the world’s largest economies are projected to shrink significantly.

These shifts will reshape labor markets, economic growth, and global influence over the coming decades.

The Fastest-Growing Countries in the World

The most dramatic population increases are concentrated in sub-Saharan Africa, where several countries are on track to nearly double in size by 2050.

The Democratic Republic of Congo leads globally, with its population projected to surge by over 100 million people (+93%). Close behind are countries like Niger, Angola, and Somalia.

The table below shows population forecasts across 195 countries worldwide:

Rank Country Population 2025 (M) Population 2050 (M) Change 2020-
2025
% Change 2020-
2025
1 🇨🇩 DR Congo 112.8 218.2 +105.4M 93.4%
2 🇨🇫 Central African Republic 5.5 10.6 +5.1M 92.6%
3 🇦🇴 Angola 39 74.3 +35.3M 90.3%
4 🇸🇴 Somalia 19.7 37.2 +17.6M 89.3%
5 🇳🇪 Niger 27.9 52.5 +24.6M 88.1%
6 🇹🇩 Chad 21 38.9 +17.9M 85.0%
7 🇹🇿 Tanzania 70.5 129.6 +59.1M 83.7%
8 🇲🇱 Mali 25.2 46.2 +21.0M 83.2%
9 🇲🇿 Mozambique 35.6 63.5 +27.9M 78.3%
10 🇲🇷 Mauritania 5.3 9.4 +4.1M 77.1%
11 🇦🇫 Afghanistan 43.8 76.9 +33.0M 75.4%
12 🇿🇲 Zambia 21.9 38.1 +16.2M 73.8%
13 🇨🇲 Cameroon 29.9 51.1 +21.2M 71.0%
14 🇨🇮 Cote d'Ivoire 32.7 55.7 +23.0M 70.4%
15 🇾🇪 Yemen 41.8 71 +29.2M 69.9%
16 🇨🇬 Congo 6.5 11 +4.5M 69.7%
17 🇲🇼 Malawi 22.2 37.4 +15.1M 68.2%
18 🇧🇮 Burundi 14.4 24.1 +9.7M 67.7%
19 🇺🇬 Uganda 51.4 85.4 +34.0M 66.3%
20 🇪🇹 Ethiopia 135.5 225 +89.5M 66.1%
21 🇸🇩 Sudan 51.7 85.2 +33.5M 64.9%
22 🇧🇯 Benin 14.8 24.4 +9.6M 64.9%
23 🇲🇬 Madagascar 32.7 53.2 +20.4M 62.4%
24 🇬🇶 Equatorial Guinea 1.9 3.1 +1.2M 62.2%
25 🇸🇳 Senegal 18.9 30.4 +11.4M 60.4%
26 🇹🇬 Togo 9.7 15.6 +5.9M 60.3%
27 🇻🇺 Vanuatu 0.3 0.5 +199K 59.4%
28 🇪🇷 Eritrea 3.6 5.7 +2.1M 57.9%
29 🇬🇦 Gabon 2.6 4.1 +1.5M 57.5%
30 🇸🇧 Solomon Islands 0.8 1.3 +470K 56.1%
31 🇷🇼 Rwanda 14.6 22.7 +8.1M 55.9%
32 🇱🇷 Liberia 5.7 8.9 +3.2M 55.5%
33 🇧🇫 Burkina Faso 24.1 37.3 +13.2M 55.0%
34 🇬🇳 Guinea 15.1 23.4 +8.3M 55.0%
35 🇮🇶 Iraq 47 71.9 +24.9M 53.0%
36 🇬🇼 Guinea-Bissau 2.2 3.4 +1.2M 52.9%
37 🇿🇼 Zimbabwe 17 25.9 +8.9M 52.6%
38 🇬🇲 Gambia 2.8 4.3 +1.5M 52.4%
39 🇸🇹 Sao Tome and Principe 0.2 0.4 +125K 52.0%
40 🇳🇬 Nigeria 237.5 359.2 +121.7M 51.2%
41 🇵🇸 Palestine 5.6 8.5 +2.9M 51.2%
42 🇸🇸 South Sudan 12.2 18.3 +6.2M 50.5%
43 🇰🇲 Comoros 0.9 1.3 +425K 48.1%
44 🇸🇾 Syria 25.6 37.8 +12.2M 47.5%
45 🇸🇱 Sierra Leone 8.8 12.9 +4.1M 46.8%
46 🇳🇦 Namibia 3.1 4.5 +1.4M 45.9%
47 🇵🇰 Pakistan 255.2 371.9 +116.6M 45.7%
48 🇰🇪 Kenya 57.5 83.6 +26.1M 45.3%
49 🇹🇯 Tajikistan 10.8 15.6 +4.8M 44.4%
50 🇬🇭 Ghana 35.1 50.6 +15.5M 44.2%
51 🇻🇦 Vatican City 0.001 0.001 213 42.5%
52 🇴🇲 Oman 5.5 7.8 +2.3M 42.4%
53 🇯🇴 Jordan 11.5 16.4 +4.8M 42.1%
54 🇺🇿 Uzbekistan 37.1 52.2 +15.2M 40.9%
55 🇵🇬 Papua New Guinea 10.8 14.9 +4.1M 38.5%
56 🇸🇦 Saudi Arabia 34.6 47.7 +13.1M 38.0%
57 🇮🇱 Israel 9.5 13.1 +3.6M 37.6%
58 🇪🇬 Egypt 118.4 161.6 +43.3M 36.6%
59 🇦🇪 United Arab Emirates 11.3 15.4 +4.0M 35.4%
60 🇭🇳 Honduras 11 14.8 +3.8M 34.9%
61 🇧🇼 Botswana 2.6 3.4 +875K 34.2%
62 🇰🇮 Kiribati 0.1 0.2 +46.1K 33.8%
63 🇶🇦 Qatar 3.1 4.2 +1.0M 33.7%
64 🇹🇱 Timor-Leste 1.4 1.9 +471K 33.2%
65 🇰🇬 Kyrgyzstan 7.3 9.6 +2.3M 32.2%
66 🇬🇹 Guatemala 18.7 24.7 +6.0M 32.0%
67 🇳🇷 Nauru 0 0 +3.7K 31.0%
68 🇧🇭 Bahrain 1.6 2.1 +496K 30.2%
69 🇩🇯 Djibouti 1.2 1.5 +346K 29.3%
70 🇧🇴 Bolivia 12.6 16.1 +3.5M 28.0%
71 🇲🇳 Mongolia 3.5 4.5 +984K 28.0%
72 🇰🇿 Kazakhstan 20.8 26.5 +5.7M 27.3%
73 🇰🇼 Kuwait 5 6.4 +1.3M 26.7%
74 🇱🇸 Lesotho 2.4 3 +630K 26.6%
75 🇹🇲 Turkmenistan 7.6 9.6 +2.0M 26.5%
76 🇩🇿 Algeria 47.4 59.6 +12.1M 25.6%
77 🇳🇮 Nicaragua 7 8.8 +1.7M 25.0%
78 🇼🇸 Samoa 0.2 0.3 +53.4K 24.4%
79 🇱🇾 Libya 7.5 9.3 +1.8M 24.2%
80 🇱🇦 Laos 7.9 9.8 +1.9M 23.9%
81 🇭🇹 Haiti 11.9 14.7 +2.8M 23.6%
82 🇵🇾 Paraguay 7 8.6 +1.6M 23.2%
83 🇵🇦 Panama 4.6 5.6 +1.1M 23.2%
84 🇲🇾 Malaysia 36 44.3 +8.3M 23.1%
85 🇰🇭 Cambodia 17.8 21.9 +4.1M 22.9%
86 🇿🇦 South Africa 64.7 79.2 +14.4M 22.3%
87 🇧🇩 Bangladesh 175.7 214.7 +39.0M 22.2%
88 🇧🇿 Belize 0.4 0.5 +93.7K 22.2%
89 🇦🇺 Australia 27 32.5 +5.5M 20.5%
90 🇸🇿 Eswatini 1.3 1.5 +249K 19.8%
91 🇱🇧 Lebanon 5.8 7 +1.1M 19.7%
92 🇵🇪 Peru 34.6 40.6 +6.0M 17.4%
93 🇳🇵 Nepal 29.6 34.6 +5.0M 17.0%
94 🇪🇨 Ecuador 18.3 21.3 +3.0M 16.7%
95 🇱🇺 Luxembourg 0.7 0.8 +111K 16.3%
96 🇵🇭 Philippines 116.8 134.4 +17.6M 15.1%
97 🇮🇳 India 1,463.90 1,679.60 +215.7M 14.7%
98 🇸🇷 Suriname 0.6 0.7 +94.1K 14.7%
99 🇨🇦 Canada 40.1 45.6 +5.5M 13.7%
100 🇲🇦 Morocco 38.4 43.4 +5.0M 13.0%
101 🇲🇽 Mexico 131.9 148.9 +17.0M 12.9%
102 🇩🇴 Dominican Republic 11.5 13 +1.5M 12.8%
103 🇮🇪 Ireland 5.3 6 +662K 12.5%
104 🇬🇾 Guyana 0.8 0.9 +105K 12.5%
105 🇮🇩 Indonesia 285.7 320.7 +35.0M 12.2%
106 🇲🇻 Maldives 0.5 0.6 +60.3K 11.4%
107 🇧🇳 Brunei 0.5 0.5 +53.2K 11.4%
108 🇨🇴 Colombia 53.4 59.4 +6.0M 11.2%
109 🇫🇲 Micronesia 0.1 0.1 +12.7K 11.2%
110 🇧🇹 Bhutan 0.8 0.9 +85.7K 10.8%
111 🇮🇷 Iran 92.4 101.9 +9.4M 10.2%
112 🇨🇾 Cyprus 1.4 1.5 +138K 10.0%
113 🇺🇸 United States 347.3 380.8 +33.6M 9.7%
114 🇳🇿 New Zealand 5.3 5.8 +503K 9.6%
115 🇻🇪 Venezuela 28.5 31.1 +2.6M 9.0%
116 🇮🇸 Iceland 0.4 0.4 +34.7K 8.7%
117 🇬🇧 United Kingdom 69.6 75.5 +6.0M 8.6%
118 🇻🇳 Vietnam 101.6 110 +8.4M 8.3%
119 🇦🇿 Azerbaijan 10.4 11.2 +827K 8.0%
120 🇨🇻 Cabo Verde 0.5 0.6 +38.8K 7.4%
121 🇫🇯 Fiji 0.9 1 +67.1K 7.2%
122 🇱🇮 Liechtenstein 0 0 +2.9K 7.2%
123 🇲🇲 Myanmar 54.9 58.6 +3.8M 6.9%
124 🇱🇰 Sri Lanka 23.2 24.8 +1.6M 6.8%
125 🇸🇨 Seychelles 0.1 0.1 +9.0K 6.8%
126 🇹🇳 Tunisia 12.3 13.1 +797K 6.5%
127 🇸🇪 Sweden 10.7 11.3 +653K 6.1%
128 🇦🇷 Argentina 45.9 48.3 +2.5M 5.4%
129 🇧🇸 Bahamas 0.4 0.4 +21.2K 5.3%
130 🇳🇴 Norway 5.6 5.9 +277K 4.9%
131 🇸🇻 El Salvador 6.4 6.7 +298K 4.7%
132 🇨🇭 Switzerland 9 9.3 +375K 4.2%
133 🇹🇷 Turkey 87.7 91.3 +3.6M 4.1%
134 🇨🇷 Costa Rica 5.2 5.4 +201K 3.9%
135 🇸🇬 Singapore 5.9 6.1 +211K 3.6%
136 🇳🇱 Netherlands 18.3 19 +612K 3.3%
137 🇹🇻 Tuvalu 0 0.01 289 3.0%
138 🇫🇷 France 66.7 68.2 +1.6M 2.4%
139 🇨🇱 Chile 19.9 20.3 +460K 2.3%
140 🇧🇷 Brazil 212.8 217.5 +4.7M 2.2%
141 🇩🇰 Denmark 6 6.1 +122K 2.0%
142 🇹🇴 Tonga 0.1 0.1 +1.5K 1.4%
143 🇧🇪 Belgium 11.8 11.9 +112K 1.0%
144 🇦🇬 Antigua and Barbuda 0.1 0.1 846 0.9%
145 🇸🇲 San Marino 0.034 0.034 124 0.4%
146 🇦🇩 Andorra 0.083 0.082 -709 -0.9%
147 🇲🇹 Malta 0.55 0.54 -9.7K -1.8%
148 🇰🇵 North Korea 26.6 25.8 -784K -3.0%
149 🇬🇩 Grenada 0.12 0.11 -4.1K -3.5%
150 🇬🇪 Georgia 3.8 3.7 -143K -3.7%
151 🇺🇾 Uruguay 3.4 3.3 -130K -3.9%
152 🇲🇨 Monaco 0.04 0 -1.6K -4.1%
153 🇩🇲 Dominica 0.07 0.06 -2.7K -4.1%
154 🇦🇹 Austria 9.1 8.7 -389K -4.3%
155 🇱🇨 Saint Lucia 0.18 0.17 -8.1K -4.5%
156 🇫🇮 Finland 5.6 5.4 -272K -4.8%
157 🇷🇺 Russia 144 136.1 -7.9M -5.5%
158 🇰🇳 Saint Kitts and Nevis 0.05 0.04 -2.7K -5.7%
159 🇵🇹 Portugal 10.4 9.8 -642K -6.2%
160 🇪🇸 Spain 47.9 44.9 -3.0M -6.2%
161 🇸🇮 Slovenia 2.1 2 -136K -6.4%
162 🇧🇧 Barbados 0.28 0.26 -18.4K -6.5%
163 🇩🇪 Germany 84.1 78.3 -5.8M -6.9%
164 🇹🇭 Thailand 71.6 66.4 -5.2M -7.3%
165 🇹🇹 Trinidad and Tobago 1.5 1.4 -111K -7.4%
166 🇨🇿 Czechia 10.6 9.8 -784K -7.4%
167 🇭🇺 Hungary 9.6 8.7 -907K -9.4%
168 🇸🇰 Slovakia 5.5 4.9 -538K -9.8%
169 🇻🇨 Saint Vincent and the Grenadines 0.1 0.09 -11.0K -11.0%
170 🇨🇳 China 1,416.10 1,260.30 -155.8M -11.0%
171 🇬🇷 Greece 9.9 8.8 -1.1M -11.3%
172 🇵🇼 Palau 0.02 0.02 -2.1K -12.1%
173 🇮🇹 Italy 59.1 51.9 -7.3M -12.3%
174 🇪🇪 Estonia 1.3 1.2 -170K -12.6%
175 🇰🇷 South Korea 51.7 45.1 -6.5M -12.6%
176 🇲🇺 Mauritius 1.3 1.1 -161K -12.7%
177 🇯🇲 Jamaica 2.8 2.5 -382K -13.5%
178 🇵🇱 Poland 38.1 32.8 -5.3M -14.0%
179 🇨🇺 Cuba 10.9 9.4 -1.6M -14.2%
180 🇯🇵 Japan 123.1 105.1 -18.0M -14.6%
181 🇷🇴 Romania 18.9 16 -2.9M -15.2%
182 🇦🇲 Armenia 3 2.5 -457K -15.5%
183 🇲🇪 Montenegro 0.63 0.53 -99.4K -15.7%
184 🇭🇷 Croatia 3.8 3.2 -614K -16.0%
185 🇲🇰 North Macedonia 1.8 1.5 -301K -16.6%
186 🇧🇾 Belarus 9 7.5 -1.5M -17.2%
187 🇷🇸 Serbia 6.7 5.5 -1.2M -17.3%
188 🇺🇦 Ukraine 39 32 -7.0M -17.9%
189 🇱🇻 Latvia 1.9 1.5 -340K -18.3%
190 🇦🇱 Albania 2.8 2.2 -531K -19.2%
191 🇧🇬 Bulgaria 6.7 5.4 -1.3M -19.5%
192 🇱🇹 Lithuania 2.8 2.3 -571K -20.2%
193 🇲🇩 Moldova 3 2.4 -644K -21.5%
194 🇧🇦 Bosnia and Herzegovina 3.1 2.5 -685K -21.8%
195 🇲🇭 Marshall Islands 0.04 0.03 -11.1K -30.6%

All 10 of the fastest-growing sovereign states are in sub-Saharan Africa, where fertility remains high and child mortality has fallen sharply—a demographic lag that East Asia passed through decades ago.

This surge will place increasing pressure on infrastructure, education systems, and job markets, while also creating opportunities for economic expansion.

Where Populations Are Shrinking the Fastest

At the other end of the spectrum, several major economies are entering sustained population decline—driven by low birth rates and aging populations.

China alone is projected to lose more than 150 million people by 2050, while Japan, Italy, and Russia are also facing steep contractions. This shift could have significant implications for economic growth, labor supply, and public finances. Overall, European countries make up 11 of the 20 largest absolute declines.

Even Thailand is projected to shrink by 4.2 million people, highlighting how population decline is spreading beyond traditionally aging regions. Like many countries in East Asia, Thailand faces persistently low fertility rates (around 1.2 births per woman) and a rapidly aging population.

By mid-century, global population trends will be defined less by overall growth and more by divergence.

A small group of countries will account for the vast majority of new people, while many others shrink. This widening gap between fast-growing and shrinking populations is set to reshape migration flows, economic power, and the global workforce over the coming decades.

Learn More on the Voronoi App

To learn more about this topic, check out this graphic on the countries with the most births per hour.

AI Use by Students Across Major Economies

2026-04-23 00:37:44

Published

on

The following content is sponsored by Adobe

AI Use by Students Across Major Economies

   

Key Takeaways

  • Brazil (11.6%) and India (11.5%) lead global student AI adoption.
  • India’s young population supports stronger uptake than many developed peers.
  • Adoption gaps persist, with the UK (4.6%) and Japan (5.6%) trailing significantly.

Student AI use is becoming increasingly common in classrooms worldwide, reshaping how students complete assignments, conduct research, and manage workloads. New data from Adobe Digital Insights (September 2025) highlights how student AI use for schoolwork varies significantly across major economies.

This visualization, created in partnership with Adobe, highlights global trends in student AI use and marks the third post in our series on AI use in India. While usage rates remain relatively close among top countries, a clear gap is emerging between early adopters and slower-moving markets. This points to broader differences in digital readiness and education systems.

Leaders in Student AI Use: Brazil and India Set the Pace

Brazil leads globally, with 11.6% of students using AI for schoolwork, closely followed by India at 11.5% and Italy at 11.1%. Canada (10.6%) and the United States (9.9%) also rank among the top adopters, showing that AI is gaining traction across both emerging and developed economies.

Country Student AI Use
🇧🇷 Brazil 11.6%
🇮🇳 India 11.5%
🇮🇹 Italy 11.1%
🇨🇦 Canada 10.6%
🇺🇸 United States 9.9%
🇩🇪 Germany 8.8%
🇫🇷 France 7.4%
🇯🇵 Japan 5.6%
🇬🇧 United Kingdom 4.6%

India is particularly notable in student AI use given its demographic advantage. With a median age of just 30, it has one of the youngest populations among major economies, helping drive faster adoption of AI study tools. School and university students across India are already using AI assistants for homework and revision, turning this youth-driven familiarity with technology into a tangible academic edge.

Lower Adoption Markets: Developed Markets Fall Behind

At the lower end of the spectrum, student AI use is notably weaker in advanced economies such as the United Kingdom (4.6%) and Japan (5.6%). These countries fall well behind the global leaders, highlighting a clear adoption gap.

Even mid-tier adopters like France (7.4%) and Germany (8.8%) lag behind top performers. This disparity may reflect stricter academic policies, slower institutional adoption, or cultural hesitancy toward AI in education. These factors could impact long-term digital competitiveness.

From AI Adoption to AI Study Tools

As student AI use grows globally, tools that bridge casual usage and focused learning will define which students stay ahead. They need purpose-built AI tools for students that turn course materials into real learning outcomes. For students in high-adoption markets like India and Brazil, the next step is turning that AI familiarity into real academic advantage. 

Free AI study tools like Adobe Acrobat Student Spaces let students upload class notes and instantly generate flashcards, quizzes, study guides, and even audio summaries, turning scattered materials into a structured study hub. As AI adoption grows globally, tools that bridge casual usage and focused learning will define which students stay ahead.

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Ranked: The World’s Biggest Memory Chip Makers

2026-04-22 22:49:12

Ranked: The World’s Biggest Memory Chip Makers

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Memory maker valuations have risen sharply as AI server demand tightened supply, with Samsung at $897B, SK Hynix at $498B, and Micron at $481B in market cap.
  • Below the top three, valuations drop off quickly, with Sandisk at $141B and Kioxia at $107B, showing how concentrated the memory chip market remains.
  • As AI infrastructure expands, memory chips are becoming one of the most strategically important parts of the semiconductor stack.

Memory chip makers’ market capitalizations have surged as AI infrastructure spending reshapes the semiconductor industry.

This visualization is part of Visual Capitalist’s AI Week, sponsored by Terzo. It ranks the world’s publicly traded DRAM and NAND producers using data from CompaniesMarketCap and StockAnalysis.

Samsung Is the World’s Biggest Memory Maker

The data of memory chip maker valuations shows an industry that has rebounded sharply as AI server buildouts drive memory demand higher.

The data below shows the world’s leading publicly traded memory chip makers by market cap:

Company Market Capitalization (Billions, USD) Country Memory Type
Samsung 897.3 🇰🇷 South Korea Both (DRAM + NAND)
SK Hynix 498.4 🇰🇷 South Korea Both (DRAM + NAND)
Micron 481.0 🇺🇸 United States Both (DRAM + NAND)
Sandisk 140.6 🇺🇸 United States NAND
Kioxia 106.8 🇯🇵 Japan NAND
Nanya 22.1 🇹🇼 Taiwan DRAM
Winbond 13.4 🇹🇼 Taiwan Both (DRAM + NAND)
Macronix 8.6 🇹🇼 Taiwan NAND
Powerchip Semiconductor Manufacturing 7.3 🇹🇼 Taiwan DRAM

Samsung ranks first by a wide margin, with a market capitalization of $897 billion. SK Hynix ($498B) and Micron ($481B) follow close behind, forming a clear top tier among memory producers.

Further down the ranking, Sandisk ($141B) and Kioxia ($107B) stand out as sizable second-tier players. Four Taiwanese companies round out the list, Nanya ($22B), Winbond ($13B), Macronix ($9B), and Powerchip Semiconductor Manufacturing ($7B).

Why Memory Stocks Have Climbed

Memory prices jumped in 2025 as suppliers kept output disciplined while AI server demand tightened supply. That combination helped lift both pricing power and investor expectations for memory producers.

Several names on the list posted especially dramatic gains. Nanya rose 560%, Sandisk climbed 559%, and Kioxia advanced 536%, while Winbond, SK Hynix, and Micron also saw major stock gains.

2026 has seen share prices continue to rise for memory makers. Samsung is already up 80% as of April 17, while SK Hynix is up 73% and Micron is up 59%.

What DRAM and NAND Memory Actually Do

DRAM is short-term working memory that holds the data apps need right now, but clears when power is off. NAND is long-term storage memory that keeps files and software even when a device is shut down.

Both are essential to modern computing, but AI data centers are making high-performance memory even more strategically important.

As a result, memory chip makers are increasingly tied not just to consumer electronics cycles, but also to the buildout of AI data centers.

Learn More on the Voronoi App

If you enjoyed today’s post, check out Comparing Major American Chipmakers in One Chart on Voronoi.

 

Mapped: How Much U.S. Population Growth Comes From Immigration

2026-04-22 19:38:16

See more visualizations like this on the Voronoi app.

Map showing immigration's share of population growth by state from 2021-2025 by state.

Use This Visualization

How Much U.S. Population Growth Comes From Immigration

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Immigration accounted for 81% of U.S. population growth from 2021–2025.
  • In 14 states, it drove 100% of growth, fully offsetting domestic losses.
  • Without immigration, many states would be shrinking in population.

Immigration is now the primary engine of U.S. population growth, and in some places, the only one.

From 2021 to 2025, over four out of every five new U.S. residents came from international migration, according to data from the Harvard University Joint Center for Housing Studies. In 14 states, immigration accounted for 100% of population gains, meaning growth would have been negative without it.

This map shows how much each state relies on immigration, revealing a divide between states gaining residents organically and those sustained almost entirely by global inflows.

Where Immigration Is the Only Source of Growth

In many states, population growth depends entirely on immigration.

This table shows immigration’s share of population change by state from 2021–2025. If immigration exceeds total population growth, the share is capped at 100%:

State Net International Immigration’s
Share of Population Growth
2021–2025
Total Population
Change
2021-2025
Alaska 100% 4,364
Connecticut 100% 108,853
District of Columbia 100% 22,687
Kansas 100% 38,946
Maryland 100% 86,960
Massachusetts 100% 168,764
Michigan 100% 55,590
New Jersey 100% 277,739
New Mexico 100% 7,052
Ohio 100% 101,976
Oregon 100% 30,042
Pennsylvania 100% 63,856
Rhode Island 100% 18,034
Vermont 100% 1,698
Iowa 95% 47,306
Wisconsin 89% 75,416
Virginia 85% 242,804
Kentucky 83% 98,593
Minnesota 81% 119,843
Washington 81% 274,208
Nebraska 74% 54,688
North Dakota 66% 19,746
Indiana 64% 183,043
Florida 60% 1,871,193
Missouri 60% 115,467
Colorado 58% 225,688
Maine 42% 50,328
Nevada 42% 165,337
Georgia 41% 570,153
Texas 41% 2,471,926
Arizona 37% 437,171
Alabama 34% 160,126
New Hampshire 33% 36,590
Oklahoma 33% 158,045
Utah 33% 254,934
Arkansas 32% 100,392
North Carolina 31% 747,753
Tennessee 30% 387,340
Delaware 29% 68,062
South Dakota 27% 47,286
Wyoming 24% 11,084
South Carolina 20% 438,282
Idaho 13% 180,405
Montana 8% 57,538
California N/A (Population Decline) -172,499
Hawaii N/A (Population Decline) -18,310
Illinois N/A (Population Decline) -76,207
Louisiana N/A (Population Decline) -33,956
Mississippi N/A (Population Decline) -4,225
New York N/A (Population Decline) -119,835
West Virginia N/A (Population Decline) -25,523

Florida and Texas led the nation in population growth, but for different reasons. Both gained more than one million international migrants between 2021 and 2025.

But their growth drivers differ. Florida combined strong immigration with large domestic inflows, despite negative natural change. Texas saw growth across all fronts, including a strong natural increase.

This contrast highlights a broader trend. While every state recorded net international migration during this period, many also faced domestic outflows or aging populations. In fact, 25 states saw net domestic outflows, while 21 recorded more deaths than births, making immigration the decisive factor separating growth from decline.

Texas added over 691,000 people through natural growth alone, more than California and New York combined.

When Growth Isn’t Enough: The California Example

California highlights the imbalance: despite nearly one million international arrivals and more births than deaths, the state still saw overall population decline driven by domestic outflows.

Seven states in total lost population over this period, underscoring how internal migration can outweigh both natural change and immigration.

The Future of Immigration and U.S. Population Growth

A sharp slowdown could reshape this map.

In 2026, U.S. immigration is expected to fall to 321,000, less than a fifth of the level seen in 2025. At the same time, natural population change is projected to remain flat.

For states highly dependent on immigration, this may mean slower growth or even population decline.

Over the past five years, six states, including Oregon and Michigan, experienced both domestic outmigration and negative natural change, leaving immigration as their primary source of growth.

States where immigration plays the largest role in population gains are also the most exposed to a slowdown, with potential ripple effects across:

  • Tax receipts
  • Consumer spending
  • Housing demand
  • Labor force growth

As natural growth fades, migration, both domestic and international, will determine which states continue to grow and which begin to fall behind.

Learn More on the Voronoi App

To learn more about this topic, check out this graphic on America’s fastest-growing states from 2025 to 2050.