Network operator
Apple Inc.
5 networks combined into one view.
Operators are grouped by registered network name. Each figure below is the total across every network on this page, which is what a single network page cannot show.
What this tells you
- Address space is concentrated in United States (91% of the IPv4 space), across 49 countries in total.
Countries in this space
Space we can place in a country covers 100% of these networks' IPv4 space and 100% of their IPv6 space. The table below divides that space.
| Country | IPv4 share | IPv6 share | |
|---|---|---|---|
| United States | 91% | 25% | |
| China | 1% | <0.1% | |
| Ireland | 1% | 49% | |
| United Kingdom | 0.9% | 0.1% | |
| Australia | 0.7% | 0.1% | |
| Japan | 0.6% | 0.1% | |
| Singapore | 0.6% | 25% | |
| India | 0.5% | <0.1% | |
| Netherlands | 0.2% | <0.1% | |
| Hong Kong | 0.1% | 0.1% | |
| Everything else (39 more) | 3% | 0.2% |
Organisations holding assignments here
Registered organisations account for 1.0% of these networks' IPv4 space and 75% of their IPv6 space. The table below divides that space. Registered holders come from the bulk whois that RIPE, APNIC and AFRINIC publish. ARIN and LACNIC do not publish theirs, so space held in North and South America is largely unattributed here.
| Organisation | IPv4 share | IPv6 share | |
|---|---|---|---|
| Apple Inc. | 100% | - | |
| Apple Distribution International Ltd. | - | 67% | |
| Apple South Asia Pte Ltd | - | 33% |
Anonymizer signals
Flagged space covers <0.1% of these networks' IPv4 space and 25% of their IPv6 space. The table below divides that space.
| Category | IPv4 share | IPv6 share | |
|---|---|---|---|
| Open proxy | 100% | - | |
| Tor exit | - | 100% |
All 5 networks run by this operator
| ASN | Name | Estimated users |
|---|---|---|
| AS714 | Apple Inc. | 21,939 |
| AS1036 | Apple Inc. | - |
| AS1042 | Apple Inc. | - |
| AS2709 | Apple Inc. | - |
| AS6185 | Apple Inc. | - |
Every figure on this page is also JSON: /api/v2/directory/isp/apple-inc. Breakdowns paginate from there, so a table showing the largest rows here returns all of them. Read the API.