🆚 Dialpad vs. Nice CXone

Statistics for Dialpad are still being collected and do not yet reflect its full market share.

Type

Contact center platform
Contact center platform

About

Dialpad is agentic AI-powered contact center software that combines customer service, outbound sales, and unified communications in a single platform.

It provides DialpadGPT, a proprietary LLM trained on business conversations, autonomous AI agents that resolve requests such as orders and refunds and hand off to humans with full context, real-time transcription with sentiment analysis and keyword-triggered coaching cards, no-code agent building, and workforce management that schedules AI agents alongside human staff.

NICE CXone is an omnichannel customer experience platform that delivers workflow automation, AI agents, voice self-service, and a centralized knowledge base.

Headquarters

San Ramon, California, United States
Hoboken, New Jersey, United States

Website

Pricing

Free version ❌
Dialpad Connect
(AI-powered communications)
$15+/user/month
Dialpad Sell
(sales outbound solution)
$39+/user/month
Dialpad Support
(contact center solution)
$89+/user/month
Free version ❌Free 60-day trial
$71+/user/month

Categories

Contact Centers › Rank #13
Contact Centers › Rank #3
Live Chats › Rank #117
Live Chats › Rank #57

Popularity

Determined by the number of sites using each technology.

Total websites

Market share

Contact Centers
Live Chats

Popularity by country

Determined by the number of sites detected from each country.

United States
Canada
United Kingdom
Australia
Mexico
Argentina
Brazil
Chile
Costa Rica
France

Awards

Popularity by domain category

Determined by the number of sites in each category.

Business
Health
Online Shopping
Marketing/Merchandising
Internet Services
Finance/Banking
Education/Reference
Real Estate
Software/Hardware
Non-Profit/Advocacy/NGO

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#26,770
#49,907
#56,988
#57,972
View more ➝
Name
Rank
#5,375
#5,395
#5,793
View more ➝

See also

🗃️ About This Data