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Timeline: Looking Back at 10 Years of Snapchat

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Timeline: 10 years of snapchat

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Looking Back at 10 Years of Snapchat

Over the years, many ideas have emerged from the dorm rooms at Stanford University, but not all of them evolve into billion dollar companies.

Snapchat, however, has beaten the odds. The company’s stock has recently shot up during the COVID-19 pandemic, a bright spot in a decade of highs and lows.

The graphic above is a high level look at Snapchat’s 10-year history, including user growth and financials. Snapchat’s wild ride from start-up to massive success is well documented, so we’ll focus on key elements of story—product design, the Facebook rivalry—and look at how the company is doing today now that the hype surrounding the app has died down.

But first, a quick history…

Setting the Scene

Snapchat originally began its life as a project called Picaboo in 2011.

Cofounders Evan Spiegel, Bobby Murphy, and Reggie Brown, who were attending Stanford, began building an app that could send photos that disappear after a certain amount of time.

Picaboo was renamed Snapchat in 2012, and by the end of that year, it was clear that the start-up was onto something big. A $13.5 million Series A financing in early 2013 helped fuel the company’s explosive growth.

Positive Momentum: Product Design

One of Snapchat’s biggest strengths over the years has been innovative product design. Many of the features we now see baked into every social app originated from Snapchat.

Here’s a quick rundown of Snapchat’s key feature and product development over the past decade.

snapchat feature product timeline

Of all the features listed above, the concept of stories is perhaps the most significant contribution to the digital landscape. Disappearing short-form videos started off as a messaging tool, but ended up transforming the way people share their lives online.

As well, the forward-looking acquisition of Looksery in 2015, helped introduce millions of people to augmented reality (AR). AR continues to be a major growth driver for Snapchat today, as advertisers embrace the Lenses feature.

Negative Momentum: Facebook Rivalry

To Mark Zuckerberg’s credit, he realized the potential of Snapchat early.

When the company was only one year old, the Facebook CEO offered the Snapchat founders $60 million to buy the company. When they rejected the offer, Facebook almost immediately launched an app called Poke which was extremely similar to Snapchat’s offering. You’d be forgiven for not knowing what Poke is, as the app received a tepid reception and was quietly shut down in 2014.

“I hope you enjoy Poke.” – Mark Zuckerberg, in an email to Evan Spiegel

For Snapchat, Poke was a blessing in disguise as it brought even more attention to their growing app. Mark Zuckerberg, however, was not done trying to steal the company’s thunder. After offering $3 billion in cash to purchase Snapchat (the offer was once again rebuffed), Facebook copied a number of features from Snapchat and integrated them into Instagram.

Stories were a massive hit for Instagram, and Snapchat, which could not yet match Instagram’s scale, took a big hit. Growth began to slow noticeably after that Instagram update.

Snapchat Today

Snapchat hit rock bottom in 2018 after shares dropped below the $5 mark, and user growth had stalled out. As well, underwhelming sales of Snapchat’s Spectacles product garnered negative press and hurt the brand’s “cool factor”.

Today though, the situation looks much different. The app still has a strong market share with the younger demographic, and close to 300 million daily active users. Snapchat was one of the many digital companies to benefit from the COVID-19 pandemic (or, at least, the increase in digital content consumption), and the share price has rocketed to new highs. One other promising indicator is the company’s rising average revenue per user, or ARPU.

arpu revenue per user snapchat

Of course, as the last 10 years have shown, success is not guaranteed. TikTok is still a significant competitor with a lot of momentum, and tastes can change quickly in the digital world. That said, there is a positive path forward for Snap Inc.

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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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