Skip to main content
  1. Home
  2. Computing
  3. News

Windows 10 appears to be poised to hit 24 percent market share by end of 2016

Add as a preferred source on Google

Windows 10 is projected to reach 24 percent of the world’s PC market share before the end of 2016, according to stats from Netmarketshare.

Windows 10 stands at 23.72 percent market share, while Windows 7 is still very popular at 47.17 percent. Windows is up 1 percent over previous figures while Windows 7 is down 1 percent, so the Redmond, Washington-based tech giant will be hoping that the trend continues. Windows 8/8.1 has diminished quite a bit.

Recommended Videos

The growth of Microsoft’s newest operating system occurred primarily during the first half of the year when free upgrades were available. That offer ended in July, and the OS experienced a dip in September and October, but it now looks like it is back on track.

os-market-share-december
Netmarketshare
The company’s goal is to have 1 billion users by 2020, with the ultimate dream of having Windows 10 running on all devices.

At this point, it will have to rely on new PC sales to boost the number of windows 10 users now that free upgrades have ended and there still seems to be a sizable number of users content with Windows 7. With four weeks left in the year, we can assume that Microsoft will hit the 24 percent figure for Windows 10 by the time the newest figures emerge in January.

Interestingly, Windows XP is still maintaining a relatively decent foothold in market share at 8.63 percent despite support for the once-very popular OS being discontinued. The OS is still used by some enterprises and governments who all pay extra for support.

Various Mac OS versions are lagging well behind, each with less than 10 percent of market share.

Jonathan Keane
Jonathan is a freelance technology journalist living in Dublin, Ireland. He's previously written for publications and sites…
What’s the Right Laptop for a Student on a $1,000 Budget?
The best college laptop isn't the one with the longest spec sheet. It's the one that fits your budget and the way you'll actually use it.
Dell XPS 14 Review: Sticker

This post is brought to you in paid partnership with Dell

Buying a laptop for college isn't a decision made in isolation. Tuition, textbooks, housing, meal plans, transportation, and course materials all compete for the same budget, leaving most families with one question before the semester begins: how much is enough to spend on a laptop without paying for features that may never get used?

Read more
Siri is about to hear everything you say, but Apple’s privacy approach has me cautiously on board
Apple's new Audio Intelligence features want to hear almost everything you say. A privacy document released alongside them explains why I am mostly okay with that.
Apple Watch Audio Intelligence features

Apple used its September 2026 launch event to enter a feature category it has mostly avoided until now: ambient listening. Siri Recap, Live Rewind, Music Recognition with Shazam, and Sound Recognition all landed on the Apple Watch Series 12 and Apple Watch Ultra 4. All four depend on the watch microphone picking up sound around you far more often than any previous Apple product has.

Siri Recap listens for conversations throughout your day and turns them into short AI summaries you can check later. Live Rewind is smaller in scope but arguably more useful day-to-day. It transcribes the last 15 seconds of whatever was just said with a double-press of the crown. This is perfect for catching a name, a book title, or directions you missed the first time. Music Recognition uses Shazam to identify songs playing nearby without you lifting a finger, much like Now Playing on Google's Pixel devices. Sound Recognition is a useful accessibility feature that listens for sirens, doorbells, and alarms to alert users who have a hearing impairment.

Read more
Can You Turn a Mini PC Into a Local AI Agent?
Furniture, Table, Computer

This post is brought to you in paid partnership with MSI

Not every AI task needs the scale of the cloud. An employee searching company documents, a retail kiosk answering product questions, or a digital sign reacting to customer behavior all need fast responses, but they don't necessarily need to send every prompt to a remote data center. Running those workloads locally reduces latency, keeps sensitive information closer to where it's generated, and can lower the ongoing cost of AI deployments. As a result, many organizations are moving toward hybrid AI architectures that handle routine requests on-device while reserving cloud models for tasks that genuinely need more processing power.

Read more