You are viewing an outdated report. The latest version of this report was published on August 1st, 2022

Web server surveys have been around for a long time. One of the problems with running a survey is how to produce meaningful results given the number of choices with the collection and reporting methodologies. Some examples:

• How does one treat wildcarded DNS sites that generate unlimited number of unique hostnames, all residing on the same system?
• How does one treat taste-testing web sites that do not have any unique content on them at all?
• If very large number of web sites reside on a single IP address, is it a a case of search engine spamming, a large number of low traffic web sites on a single platform, or a web hosting facility using load-redirection for a large number of legitimate web sites?
• How "greedy" or aggressive should the hunt for new web sites be?

All of the above are issues that our conventional web server survey deals with. The biggest issue that comes up time and again, however, is the fact that our conventional survey counts unique hostnames, not unique installations. This can seriously impact market share statistics. Case in point: the data set used both web server survey reports contains (for the last month's data set) 1,898,063 hostnames, but only 1,134,132 distinct IP addresses.

This particular report addresses this in part by counting unique IP addresses in an attempt at answering the question of how many installations of a particular server might exist. By using the IP address as a proxy for the physical hardware on which a server is running, we still need to be aware that it is not a perfect 1 to 1 mapping:

• A load balanced network of servers might share a single public facing IP address, and be undercounted.
• A single server may have multiple public IP addresses bound to one or more network cards on the system, and thus still be counted more than once.

While not a perfect solution, we feel that counting web servers by IP will give a much closer view of the number of server installs for a given technology.

Click any server to see detailed graphs and histories.

Server	November 1999 Count	November 1999 %	October 1999 Count	October 1999 %	Growth %
Apache	514,043	45.32	498,613	45.09	0.53
Microsoft-IIS	338,927	29.88	327,917	29.65	0.78
Netscape-Enterprise	47,089	4.15	46,473	4.20	-1.20
thttpd	46,865	4.13	45,476	4.11	0.49
Rapidsite	32,160	2.84	30,965	2.80	1.27
null	19,431	1.71	17,484	1.58	8.37
WebSitePro	15,633	1.38	16,058	1.45	-5.07
NCSA	12,426	1.10	13,647	1.23	-11.22
Stronghold	11,575	1.02	11,826	1.07	-4.56
WebSTAR	8,946	0.79	8,881	0.80	-1.78
Netscape-FastTrack	8,621	0.76	8,796	0.80	-4.43
Lotus-Domino	8,384	0.74	8,088	0.73	1.08
WN	6,698	0.59	6,741	0.61	-3.11
BESTWWWD	6,328	0.56	6,523	0.59	-5.41
Netscape-Communications	4,412	0.39	4,885	0.44	-11.93
CERN	3,922	0.35	4,208	0.38	-9.12
Netscape-Commerce	3,584	0.32	4,022	0.36	-13.11
Roxen·Challenger	3,014	0.27	2,933	0.27	0.20
Apache-1.3.4	2,285	0.20	2,249	0.20	-0.93
Zeus	2,192	0.19	2,008	0.18	6.44
Red	2,004	0.18	1,902	0.17	2.74
Novell-HTTP-Server	1,894	0.17	1,930	0.17	-4.31
WebSite	1,582	0.14	1,714	0.15	-10.00
mod_perl	1,437	0.13	1,189	0.11	17.85
AppleShareIP	1,056	0.09	965	0.09	6.70
ApacheFP	1,047	0.09	1,057	0.10	-3.41
Commerce-Builder	999	0.09	1,003	0.09	-2.88
OSU	944	0.08	995	0.09	-7.49
FileMakerPro	920	0.08	1,010	0.09	-11.18
Microsoft-Internet-Information-Server	892	0.08	998	0.09	-12.85
Purveyor	840	0.07	900	0.08	-8.99
Domino-Go-Webserver	774	0.07	774	0.07	-2.49
NaviServer	748	0.07	775	0.07	-5.89
Affinity-Apache	700	0.06	167	0.02	308.71
MacHTTP	648	0.06	654	0.06	-3.39
Oracle_Web_Listener	644	0.06	558	0.05	12.54
Microsoft-PWS-95	644	0.06	678	0.06	-7.38
QuidProQuo	634	0.06	669	0.06	-7.59
SWS-1.0	609	0.05	625	0.06	-4.99
Microsoft-PWS	572	0.05	598	0.05	-6.73
Worldgroup	556	0.05	642	0.06	-15.55
ApacheSSL	502	0.04	470	0.04	4.15
FirstClass	491	0.04	457	0.04	4.76
SAMBAR	442	0.04	380	0.03	13.42
Xitami	434	0.04	424	0.04	-0.19
Open-Market-Secure-WebServer	430	0.04	728	0.07	-42.41
HPWB	402	0.04	338	0.03	15.97
Apache-NeoWebScript	398	0.04	418	0.04	-7.16
IBM-ICS	396	0.03	369	0.03	4.64
JavaWebServer	382	0.03	382	0.03	-2.49
IBM-HTTP-Server	342	0.03	306	0.03	8.98
OmniHTTPd	290	0.03	279	0.03	1.35
Oracle_Web_listener2.1	254	0.02	287	0.03	-13.70
FrontPage-PWS32	244	0.02	261	0.02	-8.84
Oracle_Web_listener3.0.2.0.0	243	0.02	245	0.02	-3.29
Mini-Proxy	239	0.02	271	0.02	-14.01
ConcentricHost-Ashurbanipal	233	0.02	247	0.02	-8.02
PowerWeb	232	0.02	264	0.02	-14.31
Apache-SSL-US	232	0.02	247	0.02	-8.41
HomeNet	231	0.02	211	0.02	6.75
Lasso	212	0.02	203	0.02	1.83
AiNET	207	0.02	179	0.02	12.76
Apache-EUnet	205	0.02	203	0.02	-1.53
HouseIt	204	0.02	212	0.02	-6.17
Lotus	202	0.02	230	0.02	-14.36
Squid	196	0.02	185	0.02	3.31
ODN	195	0.02	198	0.02	-3.97
Alibaba	188	0.02	199	0.02	-7.88
Ultraseek	185	0.02	225	0.02	-19.83
MACOS_Personal_Websharing	181	0.02	170	0.02	3.82
Oracle_Web_listener3.0	176	0.02	198	0.02	-13.33
HTTPS	173	0.02	195	0.02	-13.49
Web_Server_4D	172	0.02	99	0.01	69.41
Sun_WebServer	171	0.02	150	0.01	11.16
IgServ	166	0.01	175	0.02	-7.51
eShare-Expressions	160	0.01	178	0.02	-12.35
Oracle_Web_Listener_NT_2.1.0.3.1	146	0.01	155	0.01	-8.15
CommerceServer400	145	0.01	153	0.01	-7.59
Statistics	143	0.01	155	0.01	-10.04
NetPresenz	143	0.01	152	0.01	-8.27
Oracle_Web_listener3.0.1.0.0	130	0.01	139	0.01	-8.81
Oracle_Web_listener3.0.1	127	0.01	130	0.01	-4.74
Oracle_Web_listener2.0	126	0.01	156	0.01	-21.24
IBM_HTTP_Server	126	0.01	87	0.01	41.22
David-WebBox	126	0.01	134	0.01	-8.31
HTTP	125	0.01	0	0.00	N/A
AppleWSE	124	0.01	139	0.01	-13.01
Roxen	121	0.01	72	0.01	63.87
Powered	112	0.01	93	0.01	17.43
IBM-Secure-Export-ICS	112	0.01	115	0.01	-5.04
CONNECTnet[welp3]	109	0.01	114	0.01	-6.77
GoServe	100	0.01	108	0.01	-9.72
BorderWare	98	0.01	101	0.01	-5.39
IBM	96	0.01	98	0.01	-4.48
AnWeb	86	0.01	76	0.01	10.34
Spinner	85	0.01	131	0.01	-36.73
Oracle_Web_Listener_NT_2.1.1	85	0.01	105	0.01	-21.07
InfoWest.COM-Custom-Apache	83	0.01	85	0.01	-4.79
NeoWebScript	74	0.01	0	0.00	N/A
ConferenceRoom	72	0.01	92	0.01	-23.69

Note: Readers are cautioned that the Growth percentages are based on a server's market share penetration rather than the absolute number of servers we detected. Thus, it is possible for the number of servers to increase, while the growth is actually a negative value.