.CN: From 2 million to 10 million in 12 months

China is on pace to surpass Germany as the world’s most popular country code top-level domain (ccTLD) — in about two or three months.

Germany currently leads with roughly 11.5 million .de registrations, but China recently surpassed the 10 million mark, and is adding 20,000 registrations per day.

Keep in mind, this 10 million statistic includes all permutations of .cn, such as gov.cn and edu.cn. The .cn domain registered by companies inside and outside of China, such as Intel.cn and Google.cn, accounts for 6 million of the 10 million registrations.

It’s no surprise that China would surpass Germany. What is surprising is China’s rate of growth, as visualized here:

china cctld growth rate

China to overtake US in Web users … next month

According to the China Internet Network Information Center (CNNIC), China is poised to overtake the US in Web users very, very shortly. Here is a news article.

CNNIC says that China now has 210 million Web users, an increase of more than 73 million over the past year. These are staggering growth figures and it’s safe to project that China will overtake the US, which is hovering around 215 million Web users, sometime late next month.

When it does, I’m sure the CNNIC will be the first to announce it.

Now the race is on for companies to localize their Web sites for these 210 million Web users, like Starwood, which is ahead of many of its competitors.

What more can you say? When it comes to potential Web users, China has a lot more headroom than the US. What we’re seeing transpire was inevitable, though the timing is much faster than many of us (me included) would have predicted.

And India could one day surpass China’s numbers.

PS: I visited the CNNIC Web site to read the press release, but they hadn’t translated any English-language content since last year. So I went to the source, the Chinese-language site, and used Google Translate to read their press release. Check it out for yourself — and I must say that the quality of Google’s machine translations since it started using its own statistical machine translation software has improved considerably.