How Much Website Traffic in Arab Countries Comes From Bots? 2026 Data for Nine Arab Markets

Bots made up 31% to 58% of tracked page views in most Arab markets last month. In September 2026, StatCounter recorded bots at 30.85% of page views in Saudi Arabia, 45.07% in the UAE, 20.08% in Egypt and 57.78% in Morocco, against 31.13% worldwide. Six of the nine Arab markets we pulled sat above the global figure, and almost all of the bot traffic arrived through ordinary national telecom networks rather than cloud servers.
We pulled the monthly series for nine Arab countries, the United States, the United Kingdom and the world from StatCounter Global Stats on 5 October 2026. Below are the numbers, what they do and do not measure, and what they mean for your analytics, your robots.txt and your ad spend.
How much website traffic in Arab countries comes from bots?
Between one fifth and nearly three fifths of tracked page views, depending on the country. StatCounter’s September 2026 data puts Egypt lowest of the nine Arab markets at 20.08% bots and Morocco highest at 57.78%. The median Arab market, Qatar, sits at 40.95%, which is almost ten points above the worldwide figure of 31.13%.
The table shows the bot share of page views for each market in February 2026 and September 2026. We use February as the baseline because StatCounter’s series starts in January 2026, and January reads like a ramp month: every Arab market shows under 4.3% bots that month while the worldwide figure is already 17.52%.
| Market | Bots, Feb 2026 | Bots, Sep 2026 | Change |
|---|---|---|---|
| Morocco | 8.87% | 57.78% | 6.5x |
| Oman | 10.20% | 55.01% | 5.4x |
| Bahrain | 12.80% | 49.07% | 3.8x |
| UAE | 22.10% | 45.07% | 2.0x |
| Qatar | 9.78% | 40.95% | 4.2x |
| Kuwait | 5.71% | 37.76% | 6.6x |
| Saudi Arabia | 6.11% | 30.85% | 5.0x |
| Jordan | 5.13% | 26.83% | 5.2x |
| Egypt | 3.22% | 20.08% | 6.2x |
| Worldwide | 19.90% | 31.13% | 1.6x |
| United States | 20.78% | 33.85% | 1.6x |
| United Kingdom | 10.03% | 13.64% | 1.4x |
Source: StatCounter Global Stats, Bots vs Humans, all platforms, monthly, pulled 5 October 2026.
Is bot traffic growing faster in Arab markets than worldwide?
Yes, by a wide margin on this dataset. From February to September 2026 the worldwide bot share grew 1.6 times, from 19.90% to 31.13%. Over the same seven months Saudi Arabia grew 5.0 times, Egypt 6.2 times and Kuwait 6.6 times. Every Arab market in our sample outgrew the United States and the United Kingdom.
Most of the jump is recent. Between August and September 2026 alone, the UAE moved from 26.13% to 45.07%, Qatar from 24.46% to 40.95%, Kuwait from 21.78% to 37.76% and Egypt from 10.55% to 20.08%. Saudi Arabia climbed more steadily, from 13.43% in July to 25.25% in August and 30.85% in September.
Two readings fit these numbers, and the data alone cannot separate them. Either automated traffic aimed at Arab websites really rose sharply over the summer, or StatCounter’s detection improved and is now catching bots it previously counted as people. StatCounter does not publish its detection method for this series. Its FAQ only says it identifies bots and keeps them out of its other statistics.
Either way, the September numbers describe what a JavaScript tag sees on Arab websites today, and that is the same kind of tag your analytics runs on.
Where does bot traffic in Arab countries come from?
From the same mobile and broadband networks your real customers use. StatCounter’s “Bots by ISP” view for September 2026 shows stc, Mobily, Zain, Salam and GO carrying 98.8% of detected bot page views in Saudi Arabia. In the UAE, e& and du carry 98.6%. Cloud and hosting providers barely register.
| Market | Networks carrying the most bot page views, Sep 2026 | Share of bot page views | Largest cloud or hosting name |
|---|---|---|---|
| Saudi Arabia | stc 56.39%, Mobily 21.85%, Zain 14.38%, Salam 5.48%, GO 0.74% | 98.8% | NTT America, 0.20% |
| UAE | e& 69.09%, du 29.50% | 98.6% | HostRoyale and M247, 0.18% and 0.17% |
| Qatar | Ooredoo 75.22%, Vodafone 24.17% | 99.4% | Light Node, 0.15% |
| Kuwait | Zain 41.69%, stc 33.75%, Ooredoo 19.09% | 94.5% | None in the top seven |
| Egypt | Telecom Egypt 73.98%, Vodafone 14.14%, Link.NET 4.80%, e& 4.73%, Orange (Mobinil) 1.68% | 99.3% | Kaopu Cloud, 0.24% |
| Morocco | Maroc Telecom 51.11%, inwi 24.41%, Orange 24.38% | 99.9% | HOSTOWEB, 0.03% |
Egypt’s Vodafone figure combines two entries StatCounter lists separately (Vodafone Egypt 11.15% and Vodafone 2.99%). This matters for defence. A firewall rule that blocks AWS, Google Cloud or DigitalOcean ranges would have touched well under 1% of the bot traffic StatCounter saw in these countries. We do not know whether these bots run on residential proxy networks, compromised phones or something else; StatCounter does not say. The 2025 Imperva Bad Bot Report lists residential proxies among the most common evasion tactics, which fits the pattern.
Are AI crawlers like GPTBot driving the bot share?
Not on StatCounter’s numbers. In its worldwide “Good Bots” view for September 2026, Googlebot alone accounts for 25.50% of identified good-bot page views. OpenAI’s three bots combined (ChatGPT-User 0.37%, OAI-SearchBot 0.36%, GPTBot 0.24%) total 0.97%, and ClaudeBot adds 0.86%. AI assistants are a rounding error next to search and SEO crawlers.
The good-bot list is led by Googlebot, then Sogou at 15.03%, AhrefsBot at 12.15%, Amazonbot at 8.50% and Google’s AdSense crawler at 8.28%. Remember that ordering if anyone on your team proposes blocking AI crawlers to “cut bot traffic”. You would lose the chance to be cited in ChatGPT, whose share of AI chatbot referrals in Saudi Arabia stood at 75% in September 2026 according to our Gulf AI assistant usage data, while barely touching the automated load.
Our robots.txt audit of Arab websites covers which AI user agents to allow and which to restrict. Robots.txt only governs bots that choose to obey it, and the bots inflating your September numbers are not the ones reading it.
We only report the worldwide good-bot breakdown here. The Saudi good-bot sample in StatCounter is too small to read (four user agents, one of them at 1.96%), so we have left it out.
What did we see on our own website?
On our own website, verified bots made 11.5% of HTML page requests between 21 September and 4 October 2026, and AI crawlers were the largest group. Cloudflare’s verified-bot labels put AI crawlers at 4.8% of HTML requests, more than twice the 2.1% that came from search engine crawlers.
We pulled these shares from Cloudflare’s request analytics for our own domain on 5 October 2026, counting HTML responses only so images and scripts do not inflate the totals. The rest of the verified traffic split into SEO tools at 2.4%, monitoring services at 1.3%, AI search bots at 0.5% and AI assistants fetching a page for a user at 0.2%.
| Verified bot category (Cloudflare) | Share of HTML requests, 21 Sep to 4 Oct 2026 |
|---|---|
| AI crawlers | 4.78% |
| SEO tools | 2.44% |
| Search engine crawlers | 2.10% |
| Monitoring and analytics | 1.26% |
| AI search | 0.50% |
| Page previews | 0.20% |
| AI assistants | 0.17% |
| No verified-bot label | 88.49% |
That looks like a contradiction of StatCounter’s good-bot list, but the two count different things. StatCounter only sees bots that run its JavaScript tag, and most AI crawlers fetch raw HTML without running scripts, so they barely register there. A CDN sees every request. A site that publishes about AI search, as ours does, probably draws more AI crawling than a typical store.
The other 88.5% carried no verified-bot label, and that does not make it human. Cloudflare’s free plan does not score unverified bots, which leaves the same blind spot GA4 has: anything that does not announce itself counts as a visitor until its behaviour says otherwise.
Does GA4 filter out this bot traffic?
Only the bots it already knows. Google says GA4 automatically excludes “known bots and spiders” using its own research plus the IAB/ABC International Spiders and Bots List, and that you cannot switch the exclusion off or see how much was removed. A headless browser coming through stc or e& with a normal user agent is not on any list.
That detail comes straight from Google’s known bot-traffic exclusion help page. Read it next to the StatCounter data. StatCounter counts page views through a JavaScript tag, so every bot in its numbers executed JavaScript. A bot that executes a StatCounter tag can execute a GA4 tag too, and it arrives from a Riyadh, Dubai or Cairo mobile IP that looks exactly like a customer.
In practice that shows up as Direct or “(not set)” sessions with near-zero engagement time, sudden city-level spikes, landing pages nobody links to, and conversion rates that fall while sessions rise. If you already track WhatsApp and call clicks the way we described in our GA4 click-tracking guide, those events become your best sanity check: humans click them, most bots do not.
Want someone to check how much of your Gulf traffic is real? Have VOCTOS look at my analytics and server logs.
What should Arab brands do about bot traffic?
Measure it outside GA4 first, then filter in layers. Compare server or CDN request logs with GA4 sessions for the same week; a gap that widens month by month is your bot share. Then add bot scoring at the CDN, segment GA4 by engagement, and judge paid campaigns on conversions a bot cannot fake.
- Get a second count. Pull a week of CDN or server logs and compare unique visitors to GA4 users by country. If Saudi or UAE traffic diverges far more than US traffic, you are seeing the same pattern as the StatCounter data.
- Score, do not just block. Use your CDN’s bot score or challenge only suspicious sessions. Blanket challenges block real customers and the AI assistants that would otherwise read and cite your pages.
- Build a “likely human” GA4 segment. Engaged sessions, at least one scroll or click event, and known-good landing pages. Report SEO and paid performance on that segment alongside the raw total.
- Watch paid traffic separately. Google credits invalid clicks it detects, per its invalid traffic help page, and the same page recommends server-side validation for web forms. Judge campaigns on validated conversions, not clicks.
- Protect conversion data. Server-side validation of leads (phone format, duplicate checks) keeps bot form fills out of Google Ads and Meta optimisation. Our server-side tagging guide covers the setup.
- Leave AI crawlers alone unless your logs show a real load problem. They are under 2% of identified good-bot traffic worldwide on StatCounter, 4.8% of HTML requests on our own site, and they are how you get cited.
Our read
We think most Arab brands are now reporting a share of bot sessions as Gulf customers, and the size of that share grew sharply this summer. When a third to a half of tracked page views in Saudi Arabia, the UAE and Qatar are automated, a month of “growth” in GA4 proves nothing on its own.
The data does not let anyone say how much of the September jump is new bot activity and how much is better detection. The operational answer is the same in both cases. If bots were always there, your historical baselines are inflated. If they are new, your current month is.
The ISP finding is the part global write-ups miss. Advice written for Western markets often starts with blocking data-centre IP ranges. In the Gulf and Egypt, StatCounter shows bot traffic arriving almost entirely through stc, e&, Ooredoo and Telecom Egypt, so that advice protects you from less than 1% of the problem. Behaviour-based filtering is the only approach that fits this data.
What this data does not tell you
StatCounter’s figures describe page views on sites that run its tracking code, not your site and not all Arab traffic. They count only bots that execute JavaScript. Bots that fetch raw HTML, which includes most search and AI crawlers, show up in your server logs but never in a JavaScript-based count.
StatCounter publishes no methodology for its bot series, no sample size by country and no breakdown of bot types beyond the good-bot list. The series is nine months old. Smaller markets such as Bahrain and Oman likely rest on fewer sites, so their month-to-month swings (Bahrain went from 28.44% in June to 23.20% in July and 37.11% in August) carry more noise than Saudi Arabia’s. Treat every number here as a signal to check your own logs, not as your site’s bot rate.
FAQ
My GA4 sessions from Saudi Arabia went up but leads did not. Is that bots?
It is the first thing to rule out. StatCounter recorded bots at 30.85% of Saudi page views in September 2026, up from 6.11% in February. Compare GA4 sessions with server logs and with WhatsApp, call and form events for the same weeks. Sessions rising while human-only actions stay flat points to automated traffic.
Should I block GPTBot and other AI crawlers to cut bot traffic?
Usually not. OpenAI’s crawlers were 0.97% of identified good-bot page views worldwide in September 2026 on StatCounter, though AI crawlers reached 4.8% of HTML requests on our own site. Check your CDN logs first. Blocking them costs citations in ChatGPT and Claude answers, so filter suspicious behaviour instead.
Can I block bots by blocking cloud server IP ranges?
In Arab markets that barely helps. StatCounter’s September 2026 data shows national telecoms carrying 98.6% of bot page views in the UAE, 98.8% in Saudi Arabia and 99.3% in Egypt, with cloud and hosting names each under 0.25%. Data-centre blocklists miss traffic that arrives through stc, e&, Ooredoo or Telecom Egypt.
Why is Egypt’s bot share lower than the Gulf’s?
We do not know, and StatCounter does not explain it. Egypt recorded 20.08% bots in September 2026, the lowest of the nine Arab markets, though it grew 6.2 times since February. One plausible factor is volume: Egypt’s very large human audience dilutes the share. That is our inference, not a measured finding.
Does Google Ads charge me for these bot clicks?
Google says you are not charged for invalid clicks it detects, credits invalid activity found after invoicing, and investigates the past 60 days on request. Bots on local mobile networks are harder to catch. Track conversions a bot cannot easily fake, such as qualified calls and validated leads, and compare paid sessions with conversions by country weekly.
The better question
The useful question is not “how much of my traffic is bots”, because no tool will give you an exact figure. It is whether your reporting would still tell the truth if a third of your Gulf sessions were automated. On September’s numbers, that is the realistic case.
If you already have server logs, a likely-human segment and conversion validation, use this data to reset your baselines and move on. If you report SEO or paid performance on raw GA4 sessions alone, fix measurement first, because every decision built on those sessions inherits the bot share. I want my SEO reporting built on human traffic only.
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