Skip to main content

Browser and OS Audience Share

Recently I was analyzing the data from the reports from few of my blogs and websites, to understand the how the usage of different browsers are spread among different audience profile. But data didnt give any major suprises in the browser landscape.

All the blogs and websites had majority Chrome users which was lowest at 33% and highest till 39%. Firefox user base was constant around 24 to 26%. Almost all the reports have IE users around 20-22%.
Opera seemed to be having a fairly good market share these days around 10%.
Safari had some surprises based on profiles , in case of technology enthusiasts it had a market share of around 3% but almost all other places it was less then 1%. But Mobile Safari seemed to have a constant audience base of around 2% almost across all profiles. Other browsers which people are using these days are UCBrowser(i guess mainly on Java based smartphones), IEMobile, NokiaBrowser, Dolfin, Maxthon but with negligible audience base.


Browser Market Share Comments
Chrome 33-39%
Firefox 24-26%
IE 20-22%
Opera 10%
Safari 3% negligible among non technologist
Mobile Safari 2%



In the OS audience share there were few surprises. Windows is still holding a good market share around 86 to 89% but i noticed that Android is coming up strongly with a market share of 3% that is similar to the market share for Linux users. So basically as many people who uses Linux desktops/ laptops uses an Android based mobile device. And I have noticed a constant growth in its market share. While Nokia, Blackberry, iPad, HTC are still popular but among my website the audiences didn't  seemed to use them a lot while surfing or using my site. Although all my sites are mobile enabled/ready.

I hope this data would be useful to people who don't get heavy traffic on their websites :)

Popular posts from this blog

Why India Hasn’t Built Its GPT Moment (Yet)

India has the world’s third-largest startup ecosystem, a thriving developer base, and a mobile-first population larger than the US and Europe combined. Yet, no GPT-4. No DeepMind. No Amazon-style platform. Why? Innovation Isn’t Accidental—It’s Engineered The Zerodha Daily Brief recently asked why India hasn’t built a global product company like Apple. The key argument: India isn’t building for the world. It’s solving for local constraints, scale, and affordability—but global scale requires deep IP, design, and tech differentiation. It’s not just about software, it’s about systems thinking. More importantly, it answers the question: Why do countries innovate? The answer isn’t just genius or ambition—it’s incentives and ecosystems. The U.S. Defense Department, for example, accounted for nearly 70% of federal R&D funding during the Cold War. China has pumped billions into semiconductors and AI with long-term national alignment. These aren’t short-term bets—they are strategic, delibe...
Read more

From Stubborn to Smart: How I Learned to Use AI as a PM

Listen to the article in podcast format on PM-AI Diaries channel on Spotify! Ever since I published "The Death of the Stubborn PM" back in February, my inbox has been buzzing with one big question: “Okay, I get that AI is the future for product managers—but how do I actually use it?” It’s a fair ask. In that piece, I argued that PMs who resist AI are doomed to fade away, like dinosaurs refusing to evolve. As I wrote, “The stubborn PM who clings to old ways will die out, replaced by those who harness AI’s power while leaning into what makes us human.” Now, people want the playbook. So, let’s walk through it with a story—my own journey of figuring this out, backed by some sharp insights from MIT Sloan’s "When Humans and AI Work Best Together—and When Each Is Better Alone" . The Wake-Up Call Picture me a few months back: a PM buried in work, juggling a dozen tasks, and feeling like there weren’t enough hours in the day. Writing user stories, sketching ideas, track...
Read more

The Death of the Stubborn PM

Product Management is undergoing a seismic shift, much like programming did when compilers replaced assembly language or when Agile dismantled waterfall dogma. Stubborn PMs who cling to outdated rituals—like treating PRDs as sacred texts—will fade into irrelevance. The future belongs to those who embrace AI as a collaborator, not a threat.   AI Will Disrupt the Tactics, Not the Thinking   Historically, tools abstracted manual work: compilers automated code translation, A/B testing replaced gut-driven debates. Similarly, AI will automate tactical PM tasks—data aggregation, routine prioritization, even drafting specs. But this is liberating, not limiting.   The stubborn PM obsesses over *how* to write a PRD; the adaptive PM focuses on *why* a product should exist. AI can’t replicate judgment calls that demand intuition: interpreting unmet customer needs, balancing ethics with growth, or navigating ambiguity when data is sparse. As AI handles execution, the PM...
Read more