Mary Meeker’s 2018 Internet Trends Report

May 30, 2018 at 10:33AM
via Slashdot

Mary Meeker has published her anticipated internet trends report of 2018. This year, the Kleiner Perkins Caufield & Byers partner released 284 slides in rapid succession, covering everything from smartphone behavior in the U.S. to tech company competition in China. Some takeaways: 1. 2017 was the first year in which smartphone unit shipments didn't grow at all. As more of the world become smartphone owners, growth has been harder and harder to come by. The same goes for internet user growth, which rose 7 percent in 2017, down from 12 percent the year before. With more than half the world online, there are fewer people left to connect. 2. People, however, are still increasing the amount of time they spend online. U.S. adults spent 5.9 hours per day on digital media in 2017, up from 5.6 hours the year before. Some 3.3 of those hours were spent on mobile, which is responsible for overall growth in digital media consumption. 3. Despite the high-profile releases of $1,000 iPhones and Samsung Galaxy Notes, the global average selling price of smartphones is continuing to decline. 4. Mobile payments are becoming easier to complete. China continues to lead the rest of the world in mobile payment adoption, with over 500 million active mobile payment users in 2017. 5. Voice-controlled products like Amazon Echo are taking off. The Echo's installed base in the U.S. grew from 20 million in the third quarter of 2017 to more than 30 million in the fourth quarter. 6. Tech companies are facing a "privacy paradox." They're caught between using data to provide better consumer experiences and violating consumer privacy. The most popular courses on learning platform Coursera last year were (in descending order): Machine Learning (Stanford), Neural Networks & Deeper Learning (, Learning How to Learn: Powerful Mental Tools to Help You Master Tough Subjects (UC San Diego), Introduction to Mathematical Thinking (Stanford), Bitcoin & Cryptocurrency Technologies (Princeton), Programming for Everybody (University of Michigan), Algorithms, Part I (Princeton), English for Career Development (University of Pennsylvania), Neural Networks / Machine Learning (University of Toronto), and Financial Markets (Yale).

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