What are the different IP types?

Static? Residential? Data center? Exclusive? Here is your chance to learn the differences between IPs andetwork types!
Various kinds of IPs and what they are and how they are used
Yair Ida
Yair Ida | Sales Director

IP stands for Internet Protocol and an IP address is a personal address used by any device connected to the internet.

What is an IP used for?

An IP is a unique identifier providing information such as the location and carrier of a user. This information is used by a target website to understand where the user is coming from and display information accordingly.

What types of IPs are available?

Datacenter: An IP assigned from a Data center Server, not associated with an ISP.
Types: Shared, Dedicated, Exclusive

Residential: An IP assigned from an internet service provider to a user.
Types: Shared, Exclusive and Static Residential IPs

Mobile: A 3G/4G connection assigned from a carrier to a user.
Types: Shared, Exclusive

Shared: The IPs are clustered in a shared pool for everyone to use

Exclusive: You are the only one using that IP for the specified domain

Static: The IP does not change.

These days there is a growing need for using mass IP addresses to power meta-search engines of online operations. This can include everything from Travel Fare Aggregation, Retail Price Comparison, Global web testing, Ad verification, Social Media Monitoring, Market Research etc.

Bright Data provides access to 72+ million IP addresses in various network types and configurations, with multiple ways of integration for machine automation.

You can see worldwide availability HERE

Data center (shared and exclusive)

Static residential (residential IPs assigned by an ISP for commercial use)

Residential P2P real user IPs
Country, city and ASN Targeting

Country, City and Carrier Targeting


Yair Ida
Yair Ida | Sales Director

Yair is a Sales Director at Bright Data. He specializes as a growth strategist and works in the fields of SaaS business development, sales, and marketing. He is a self-proclaimed 'data entrepreneur' with a deep knowledge of software products that he works with in order to help businesses create scalable, efficient, and cost-effective data collection processes.


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