Traffic in Iran | Cloudflare RadarOpen menuCloudflare RadarSearchSearch for locations, autonomous systems, reports, domains and more...Open toolbarLanguageEnglishOpen toolbarThemeOverviewTrafficCollapseOverviewUpdatedAdoption & UsageAI InsightsBotsExpandTrafficDirectorySecurityExpandApplication LayerNetwork LayerEmailPost-Quantum EncryptionCertificate TransparencyKey TransparencyConnectivityExpandInternet QualityOutage CenterCloud ObservatoryIP Address InformationRoutingExpandOverviewRPKIAnomaliesMRT ExplorerNewDNSExpand1.1.1.1 ResolverAS112 ProjectTop-Level DomainsDomain RankingsDomain InformationDomain CategorizationToolsExpandData ExplorerURL ScannerNetwork Quality TestReportsAPIExpandSpecificationDocumentationMCP ServerResourcesExpandAboutPressGlossaryChangelogRelease NotesCollapse sidebarTraffic in IranLocationIranDate range:Last 4 weeksWorldwideAsiaIranTraffic volume in IranCopy linkRelative change from previous periodShare this...CiteTraffic trends in IranCopy linkBytes transferred over the selected time periodLearn more...Share this...More actions...HTTP traffic in IranCopy linkHTTP requests over the selected time periodLearn more...Share this...More actions...Traffic characteristicsCopy linkNetwork traffic breakdown by region and autonomous systemMetricHTTP requestsGeographical distribution in IranCopy linkPercentage of traffic over the selected time period, by regionLearn more...Share this...More actions...Traffic volume by region in IranCopy linkTraffic volume trends for top five regions over the selected time periodLearn more...Share this...More actions...Traffic volume by autonomous system in IranCopy linkTraffic volume trends for top five autonomous systems over the selected time periodLearn more...Share this...More actions...Traffic volume by autonomous system in IranMobile vs. Desktop in IranCopy linkMobile device vs. desktop HTTP requests distributionLearn more...Share this...More actions...Traffic typeAll trafficBot vs. Human in IranCopy linkBot (automated) vs. human HTTP requests distributionLearn more...Share this...More actions...Content typeAllContent type in IranCopy linkDistribution of HTTP responses, grouped by MIME type categoryLearn more...Share this...More actions...Traffic typeAll trafficAPI traffic in IranCopy linkShare of dynamic (non-cacheable) HTTP request traffic that is API-relatedLearn more...Share this...More actions...Traffic typeAll trafficAPI traffic is identified by JSON or XML response content types on dynamic (non-cacheable) HTTP requests.Internet outages in IranCopy linkOutages observed over the selected time period.Follow @CloudflareRadar on X for live updates.Create notificationSearchTimestamps are in UTCDownload CSVTraffic anomalies in IranCopy linkAnomalies automatically detected over the selected time periodCreate notificationSearchTimestamps are in UTC© 2026 Cloudflare, Inc.Privacy PolicyTerms of UseDisclosureTrust & SafetyTrademarkSupport

The provided information outlines the extensive scope of network traffic analysis capabilities offered by the Cloudflare Radar platform when focused on traffic within Iran. The system is designed to provide deep insights into various facets of internet activity by focusing on geographical, network layer, and application layer metrics. Analysis can be performed based on broad geographic scopes, including worldwide, Asian, and specific regional data for Iran.

The platform allows for detailed examination of traffic volume trends, which can be analyzed relative to previous periods, and provides breakdowns by specific dimensions. Network layer analysis is supported through tracking traffic volume by region and autonomous system, allowing users to identify where traffic originates and which entities are responsible for the flow. Furthermore, the system permits tracking trends for the top five regions and top five autonomous systems over specified time ranges.

Application layer analysis delves into the nature of the requests, enabling the assessment of HTTP requests over selected periods. Specific traffic characteristics can be extracted, including the geographical distribution of requests, the percentage of traffic over time segmented by region, and a breakdown of traffic patterns across different device types, such as mobile versus desktop HTTP requests.

The system further dissects traffic types to differentiate between automated and human interactions, providing data on the distribution of bot versus human HTTP requests. There is also granularity in content analysis, allowing for the distribution of HTTP responses grouped by MIME type category, which reveals the content focus of the traffic. API traffic is specifically tracked, identifying the share of dynamic, non-cacheable HTTP requests, which are typically recognized by JSON or XML response content types.

The platform also incorporates security and quality monitoring features. This includes tracking internet outages observed over the selected time period and identifying traffic anomalies that are automatically detected. Advanced networking concepts are also accessible through features related to IP Address Information, Routing, RPKI, and Certificate Transparency. Tools are provided to explore domain rankings, domain information, and domain categorization, alongside data explorers for scanning URLs and testing network quality. Finally, the interface supports the extraction of raw data via CSV downloads and the creation of notifications for live updates regarding traffic anomalies and outages.