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What percentage of internet traffic is bots? 2026.

The four numbers to remember

53%Share of web traffic made by bots in 2025 · Thales 2026
3.1 to 1Bad bots per good bot in 2025, up from about 1 to 1 in 2016 · computed
94%Login attempts that come from bots · Cloudflare 2026
1,042 → 42Spammers reaching a plain-text address vs one encoded as HTML entities · computed

Bots made 53% of all web traffic in 2025, up from 51% in 2024, according to the 2026 Thales Bad Bot Report. Bad bots alone made 40% and good bots 13%, so there were 3.1 bad bot requests for every good one. In 2016, the same report's chart puts the split at 20% bad and 19% good: roughly one to one. Humans have dropped from 61% of traffic to 47% over that decade.

On a small website that shift looks like a contact form full of junk, a login page hammered with leaked passwords, or spam to an address left in plain HTML. A CAPTCHA or a blocklist catches the crude bots and annoys people, while the bots that matter run real browsers.

This page answers what percentage of internet traffic is bots with numbers from the vendors who measure it, and explains why they disagree. Every number links to its publisher. Cite freely with a link.

Bot traffic statistics at a glance

Category Statistic Source
Share Bots made 53% of web traffic in 2025; humans 47% Thales, 2026
Share Bad bots made 40% of web traffic in 2025, up from 37% in 2024 Thales, 2026
Share Bad bots outnumbered good bots 3.1 to 1 in 2025, vs about 1 to 1 in 2016 Thales, 2026 (computed)
Share Humans made 47% of HTML requests on Cloudflare on 2 December 2025; non-AI bots made 44% Cloudflare Radar, 2025
Trend Bad bot transactions grew 91.8% in 2025, after 35.2% growth in 2024 Radware, 2026
AI AI bots made 4.2% of HTML requests in 2025; Googlebot alone made 4.5% Cloudflare Radar, 2025
AI AI-driven bot attacks blocked by Thales grew 12.5x in 2025, to 25 million a day Thales, 2026
AI Crawlers make almost 80% of AI bot traffic; Meta sends 52% of AI crawler traffic Fastly, 2025
Industry Telecom and ISP sites get 62% of their traffic from bad bots, the highest of any industry Thales, 2026
Scraping Over half of web content page requests came from scrapers F5 Labs, 2025
Logins 94% of login attempts originate from bots; 63% of logins use credentials compromised elsewhere Cloudflare, 2026
Logins Credential stuffing was a median 19% of daily authentication attempts Verizon DBIR, 2025
Email 2.67% of visitors to Project Honey Pot's trap pages are email harvesters; 916,108 identified Project Honey Pot, 2026
Email HTML entities stopped 96% of 1,042 spammers; JavaScript methods stopped 100% Spencer Mortensen, 2026
Forms Sign-up forms took 42% of form spam and contact forms 26% OOPSpam, 2026

What percentage of internet traffic is bots?

Bots made 53% of all web traffic in 2025, according to the 2026 Thales Bad Bot Report, now in its 13th annual edition. Other vendors measure smaller or larger shares because they see different customers and count different things.

Statistic Source
Automated traffic made 53% of all observed web traffic in 2025. Bad bots made 40%, good bots 13% and humans 47%. Thales Bad Bot Report, April 2026
Automated traffic passed human traffic in 2024 for the first time in a decade, at 51% of all web traffic. Thales / Imperva, April 2025
On 2 December 2025, humans made 47% of HTML requests seen by Cloudflare and non-AI bots made 44%. At the start of 2025, non-AI bots were about half of HTML requests. Cloudflare Radar Year in Review, December 2025
Bots made 31.2% of application traffic on Cloudflare between April 2023 and March 2024, a share that had hovered near 30% for three years. DATED Cloudflare, July 2024
Bots made 37% of activity observed across Fastly's global network in its Q2 2025 threat report. Fastly, August 2025
Between September 2023 and August 2024, humans made 58% of the traffic Barracuda saw, good bots 18% and bad bots 24%. Barracuda, November 2024
Bots made 42% of overall web traffic on Akamai's network, and 65% of those bots were malicious. DATED Akamai, June 2024
Only 10.2% of the 200 billion web and API transactions F5 analysed were bots, because most of those customers already ran bot protection. F5 Labs, March 2025

The honest answer is "between a third and a half, depending on whose network you ask." Thales counts traffic to sites that bought bot protection, which skews toward targets, and F5's 10% is low because its bots are already blocked. For one number, use 53% and name Thales; for a neutral middle, use Cloudflare's near even split.

The next question is whether that share is still climbing, and the year-by-year data says it is.

How has bot traffic changed by year?

Bot traffic has grown in almost every year of the Thales series: bad bots rose from 20% of web traffic in 2016 to 40% in 2025, while the human share fell from 61% to 47%.

Year Human Bad bots Good bots
2015 54% 15% 27%
2016 61% 20% 19%
2017 58% 22% 20%
2018 62% 20% 18%
2019 63% 24% 13%
2020 59% 26% 15%
2021 58% 28% 15%
2022 53% 30% 17%
2023 50% 33% 18%
2024 49% 37% 14%
2025 47% 40% 13%

Source: Thales Bad Bot Report, April 2026, chart "Global internet traffic profile between 2015 and 2025". Values are rounded as charted; the 2015 column sums to 96%, and the 2025 Imperva release gave 32% for bad bots in 2023 where this chart shows 33%.

Statistic Source
Radware saw bad bot transactions grow 91.8% in 2025 compared with 2024, after growth of 35.2% in 2024 and 26.2% in 2023. Radware Global Threat Analysis Report, February 2026
The volume of simple bot attacks grew more than 230% in 2025, even as their share of attacks fell from 44% to 42%. Thales Bad Bot Report, April 2026
Barracuda's measured bad bot share fell from 39% in 2021 to 30% in 2023 and 24% in 2024, while bad bots rose to 44% of detected clients, up from 36%. Barracuda, November 2024

Barracuda is the one series that points down, and we don't read it as good news. Fewer requests from more distinct bad clients is what you'd expect when attackers spread their traffic thin to stay under rate limits. The volume numbers from Radware and Thales agree with each other: AI made simple automation cheap, and cheap automation scales.

Rising totals also hide a change in the mix between good and bad bots.

How much bot traffic is good vs bad?

Bad bots outnumber good bots by about three to one: Thales measured 40% bad and 13% good bot traffic in 2025, and Akamai found 65% of the bots on its network were malicious in 2024.

Statistic Source
93% of the bots Cloudflare identified between April 2023 and March 2024 were unverified, meaning not on its list of known good bots. DATED Cloudflare, July 2024
Googlebot sent more than 28% of Cloudflare's verified bot traffic in 2025. GPTBot sent about 7.5% and Bingbot about 6%. Cloudflare Radar, December 2025
Search engine crawlers made 40% of verified bot traffic on Cloudflare in 2025, AI crawlers 20% and SEO bots over 13%. Cloudflare Radar, December 2025
41% of bad bot traffic declared itself as Chrome in 2025, up from 39% in 2024. Thales Bad Bot Report, April 2026

Most "good" bot traffic is one company: Google. Everything else that crawls you needs to prove it deserves the bandwidth. The Chrome number is the one we'd put on a wall. If 41% of bad bots claim to be the browser your customers use, a user-agent check filters out almost nothing that matters.

AI crawlers sit on the line between good and bad, and one kind of AI crawling grew more than 15x in 2025.

How much web traffic comes from AI crawlers and agents?

AI bots made 4.2% of the HTML requests Cloudflare saw in 2025, and Googlebot, which crawls for both search and AI, made another 4.5%. AI traffic is still a small slice of all requests, but parts of it are growing fast.

Statistic Source
AI bots made 4.2% of HTML requests in 2025, ranging from 2.4% in early April to 6.4% in late June. Cloudflare Radar, December 2025
Crawling by AI bots on behalf of a user's prompt grew more than 15x during 2025. Cloudflare Radar, December 2025
Anthropic's crawl-to-refer ratio ran between about 25,000:1 and 100,000:1 after May 2025. OpenAI's peaked at 3,700:1 in March. Cloudflare Radar, December 2025
AI crawlers made almost 80% of AI bot traffic from mid-April to mid-July 2025. Meta sent 52% of AI crawler traffic, Google 23% and OpenAI 20%. Fastly, August 2025
AI fetcher request volume sometimes exceeded 39,000 requests per minute, and 98% of fetcher requests came from OpenAI's bots. Fastly, August 2025
AI bot activity rose 300% in a year and made nearly 1% of total bot traffic on Akamai's platform. Akamai, November 2025
Of the AI traffic Thales could detect in 2025, 85% came from crawlers that gather training data and 15% from fetchers acting on user prompts. Thales Bad Bot Report, April 2026
More than 10% of AI fetcher sessions and nearly 9% of AI crawler sessions triggered bad bot rules in 2025; site owners' own rules blocked 11.9% of AI crawler traffic. Thales Bad Bot Report, April 2026

The crawl-to-refer ratio explains why so many sites now block AI crawlers. Anthropic's crawlers took tens of thousands of pages for every visitor they sent back, and OpenAI's peaked at 3,700. Blocking isn't always right, since being cited by an assistant has value, but you should know which AI bots read your pages and what you get back.

AI crawling is not spread evenly, and neither is bad bot traffic. The industry data shows where it lands.

Which industries get the most bot traffic?

Telecom and ISP websites carry the highest share of bad bot traffic, at 62% of all their traffic in 2025, according to Thales; financial services attracts the most bot attacks by volume, with 24% of all attacks.

Industry (selected) Bad bot share of the industry's traffic, 2025
Telecom and ISPs 62%
Society (non-profit) 58%
Computing and IT 51%
Travel 49%
Business 48%
Healthcare 42%
Retail 41%
Financial services 40%
Gaming 38%
Education 29%
Law and government 24%

Source: Thales Bad Bot Report, April 2026, chart "Bot traffic by industry". The chart covers 19 industries; we show 11, including the highest (Telecom and ISPs) and the lowest (Law and government).

Statistic Source
Financial services drew 24% of all bot attacks in 2025, the most of any industry. Thales, April 2026
Retail drew 20% of AI bot attacks in 2025, the most of any industry. Thales Bad Bot Report, April 2026
Commerce sites logged more than 25 billion AI bot requests over a two-month observation period in 2025. Akamai, November 2025
Hospitality had the highest share of automated web traffic in F5's data, at almost 45%; healthcare was 32.6% and eCommerce 22.7%. F5 Labs, March 2025

Notice that non-profits rank second for bad bot share. That fits what we see from small sites: donation and contact forms are soft targets, nobody runs a fraud team, and a bot that tests stolen cards or posts spam pays no price. Big targets get the attacks; small targets get the background noise, and noise is most of their traffic.

Much of that noise is scraping, which is the most common thing bots do once they arrive.

How common is web scraping by bots?

Scrapers made over half of all web content page requests in F5 Labs' 2025 analysis, and content scraping rose 47.7% on the previous year.

Statistic Source
Over half of web content page requests and nearly a quarter of web searches were automated; content scraping rose 47.7% year on year. F5 Labs, March 2025
Bots made at least 65% of Wikimedia's most resource-intensive traffic but only about 35% of its pageviews. Wikimedia Foundation, April 2025
One crawler downloaded 73 TB of zipped HTML files from Read the Docs in May 2024, almost 10 TB in one day, costing over $5,000 in bandwidth. DATED Read the Docs, July 2024
One web application received 9.7 million generative AI scraper requests in 30 days; ClaudeBot was the most active by a wide margin. Barracuda, April 2025

The Wikimedia split is worth remembering: 35% of pageviews, 65% of the expensive traffic. Scrapers don't browse like people. They pull the old, uncached pages and large files, which is why they cost more than their share of visits suggests. If your hosting bill rises while analytics stays flat, check the bots before you check the marketing.

Scrapers read pages. The next group tries to log in.

How many login attempts are credential stuffing bots?

Bots make 94% of all login attempts on Cloudflare's network, and 63% of logins use credentials already compromised elsewhere, according to Cloudflare's 2026 Threat Report.

Statistic Source
In the three months before March 2026, 94% of login attempts came from bots and 63% of logins used credentials compromised elsewhere. Cloudflare Threat Report, March 2026
In the first week of March 2025, over 94% of authentication requests came from bots, while bots made only 30% of all requests. Cloudflare Radar, March 2025
41% of successful logins on Cloudflare-protected sites from September to November 2024 used compromised passwords; 95% of login attempts with leaked passwords came from bots. Cloudflare, March 2025
On WordPress sites, 76% of login attempts with leaked passwords succeeded in the same period. Cloudflare, March 2025
Credential stuffing made a median 19% of daily authentication attempts across 2,301 organisations' single sign-on logs; the worst single day hit 44%. Verizon DBIR, 2025
More than 97% of identity attacks are password attacks, and identity-based attacks rose 32% in the first half of 2025. Microsoft Digital Defense Report, October 2025
Account takeover attacks rose 70% between July 2024 and July 2025; financial services took 46% of account takeover incidents. Thales Bad Bot Report, April 2026
Wordfence blocked over 55 billion password attacks on WordPress sites in 2024. Wordfence, April 2025
Even with bot mitigation in place, 10.6% of web login traffic was malicious; on technology sites it was 33.5%. F5 Labs, March 2025

Read the two Cloudflare numbers together: bots are 30% of requests overall but 94% of login attempts. A login page is a bot magnet in a way a blog post is not. A better CAPTCHA won't fix that. Refusing to accept a reused password on its own will, which is why Microsoft says phishing-resistant multi-factor authentication blocks over 99% of identity-based attacks.

Login forms are only one kind of form. Contact forms and published email addresses attract their own class of bot.

Which bots harvest email addresses and fill in forms?

Email harvesters made 2.67% of visitors to Project Honey Pot's trap pages as of November 2026, and the project has identified 916,108 of them since it began. An address they collect gets an average of about 912 spam messages.

Statistic Source
Project Honey Pot has identified 916,108 email harvesters; 2.67% of all visitors to its honey pots are harvesters. Project Honey Pot, November 2026
The average Project Honey Pot spam trap address receives 911.9 messages; the most targeted trap received 4,019,502. Project Honey Pot, November 2026
The average time from a harvester collecting an address to the first spam is 2 weeks and 5 days; the fastest was 1 second. Project Honey Pot, November 2026
China hosts 28.1% of identified harvesters and the United States 22.6%. Project Honey Pot, November 2026
In a honeypot test against 1,042 spammers (article updated November 2026), an unprotected plain-text address was reached by all of them; HTML entities blocked 96% and JavaScript-based methods blocked 100%. Spencer Mortensen, November 2026
Sign-up forms took 42% of the form spam OOPSpam recorded in 2025 and contact forms 26%, across 25.7 million flagged IP addresses. OOPSpam 2025 Annual Spam Report, 2026
Of the email addresses spammers typed into forms and sign-ups in OOPSpam's 2025 data, 63.21% were Gmail and 15.05% Yahoo. OOPSpam 2025 Annual Spam Report, 2026
Bots triggering SMS one-time passcodes on one health insurer's sign-up and login forms ran up about $300,000 in SMS charges in 20 days. Thales Bad Bot Report, April 2026

Harvesters are the oldest bots on the web and still the cheapest to beat. Most of them read raw HTML and match an email pattern; they don't run JavaScript. That's why an old trick, hiding the address until a script runs, still stops nearly all of them, and why we built Email Protector to turn an address into a snippet that only appears after the page runs. Forms are harder, since a form bot can run a full browser, and that is the problem we're working on next.

If you publish an address on a site, our free encoder does the conversion in your browser. For the form side, our contact form spam statistics collect what's measured about junk submissions, and the WordPress security statistics cover the platform most of those forms run on.

How we calculated the original numbers

Four figures here are our own arithmetic on published numbers.

  1. 3.1 bad bots per good bot in 2025, up from about 1 to 1 in 2016. The 2026 Thales Bad Bot Report puts bad bots at 40% and good bots at 13% of 2025 web traffic: 40 / 13 = 3.08. The same report's ten-year chart shows 20% bad and 19% good in 2016: 20 / 19 = 1.05. Same publisher, same method, so the ratio compares like with like.
  2. About 47 billion bot requests blocked per day. Thales says it blocked 17.2 trillion bot requests in 2025. 17.2 trillion / 365 = 47.1 billion a day, or about 545,000 a second. This is one vendor's customer base, not the whole internet.
  3. 1,042 spammers down to about 42. In Spencer Mortensen's honeypot test (article updated November 2026), a plain-text address with no protection blocked 0% of 1,042 spammers, so all of them reached it. HTML entities blocked 96%: 1,042 x 0.04 = 41.7, about 42 spammers still got through. Every JavaScript method in the test blocked 100%, so none did.
  4. Financial services takes 1.9x its share of attacks in account takeover. Thales reports financial services drew 24% of all bot attacks and 46% of account takeover incidents in 2025: 46 / 24 = 1.92.

What the 2026 numbers say

Bots passed humans, and the bad ones are pulling away. The longest series has humans at 47%. The bigger change is inside the bot half: good bots shrank while bad bots doubled their share in nine years.

AI crawling is small in share and large in cost. At 4.2% of HTML requests, AI bots don't dominate traffic, but some of them take thousands of pages per referral and hit the expensive, uncached parts of a site. Expect more sites to block or charge for them in 2027.

The cheapest targets are forms and addresses. Login attempts are 94% bots, harvesters still sweep pages for plain-text addresses, and form spam splits across sign-up and contact forms. That's where small sites are weakest, and where simple measures like encoding an address or adding multi-factor authentication still stop most of the volume.

FAQ

What percentage of internet traffic is bots in 2026?

53% of web traffic was made by bots in 2025, according to the 2026 Thales Bad Bot Report published in April 2026. Bad bots made 40% and good bots 13%, leaving humans at 47%. Cloudflare's 2025 data shows a near even split, with humans at 47% of HTML requests in December 2025.

Is bot traffic increasing every year?

Mostly yes. The Thales series shows bad bot traffic rising from 20% in 2016 to 40% in 2025, and Radware measured 91.8% growth in bad bot transactions in 2025. Barracuda is the exception: its measured bad bot share fell to 24% in 2024, though the number of distinct bad bots rose.

How much traffic comes from AI bots?

4.2% of HTML requests came from AI bots in 2025, according to Cloudflare Radar, with Googlebot adding another 4.5%. Fastly found crawlers make almost 80% of AI bot traffic, and Meta alone sends 52% of AI crawler traffic.

What share of login attempts are bots?

94% of login attempts originate from bots, according to Cloudflare's 2026 Threat Report, and 63% of logins involve credentials compromised elsewhere. Verizon's 2025 DBIR found credential stuffing made a median 19% of daily authentication attempts at 2,301 organisations.

How do spam bots find email addresses?

Harvester bots crawl web pages and copy anything that looks like an email address. Project Honey Pot has identified 916,108 of them, and an address they collect receives about 912 spam messages on average. In a honeypot test updated in November 2026, encoding an address with HTML entities blocked 96% of spammers and JavaScript methods blocked all of them.

Which industry has the most bot traffic?

62% of telecom and ISP website traffic came from bad bots in 2025, the highest of any industry, according to Thales. Financial services draws the most attacks by volume, with 24% of all bot attacks and 46% of account takeover incidents.

Sources

  1. Thales, 2026 Bad Bot Report: Bad Bots in the Agentic Age (PDF) (April 2026)
  2. Thales, AI-driven Bot Attacks Surged 12.5x According to Thales Bad Bot Report (April 2026)
  3. Thales / Imperva, 2025 Imperva Bad Bot Report press release (April 2025)
  4. Cloudflare, The 2025 Cloudflare Radar Year in Review (December 2025)
  5. Cloudflare, Application Security report: 2024 update (July 2024)
  6. Cloudflare, Password reuse is rampant: nearly half of observed user logins are compromised (March 2025)
  7. Cloudflare, Extending Cloudflare Radar's security insights with new DDoS, leaked credentials, and bots datasets (March 2025)
  8. Cloudflare, Introducing the 2026 Cloudflare Threat Report (March 2026)
  9. Akamai, Bots Compose 42% of Overall Web Traffic; Nearly Two-Thirds Are Malicious (June 2024)
  10. Akamai, AI Bots Threaten the Foundation of Web-Based Business Models (November 2025)
  11. Barracuda, Threat Spotlight: Bad bots are evolving to become more "human" (November 2024)
  12. Barracuda, Threat Spotlight: The good, the bad, and the "gray bots" (April 2025)
  13. F5 Labs, 2025 Advanced Persistent Bots Report (March 2025)
  14. Fastly, New Fastly Threat Research Reveals AI Crawlers Make Up Almost 80% of AI Bot Traffic (August 2025)
  15. Radware, 2026 Global Threat Analysis Report (PDF) (February 2026)
  16. Verizon, Additional 2025 DBIR research on credential stuffing (2025)
  17. Microsoft, Microsoft Digital Defense Report 2025 (October 2025)
  18. Wordfence, 2024 Annual WordPress Security Report (PDF) (April 2025)
  19. Wikimedia Foundation, How crawlers impact the operations of the Wikimedia projects (April 2025)
  20. Read the Docs, AI crawlers need to be more respectful (July 2024)
  21. Project Honey Pot, Statistics (live data, read November 2026)
  22. Spencer Mortensen, Email address obfuscation: What works in 2026? (updated November 2026)
  23. OOPSpam, 2025 Annual Spam Report (2026)

Methodology. Numbers were collected in November 2026 and checked against the original publisher's report, press release or live dataset, not against other statistics roundups. Each vendor measures its own customers' traffic, so shares differ by network and by what counts as a request; we show the measurement next to each number rather than averaging them. Stats older than 24 months are marked DATED. HUMAN Security and DataDome blocked automated access to their 2026 reports, so their figures are left out rather than cited from coverage. Last updated 14 November 2026.

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