Search field

Companies using IBM Watson Speech to Text

We have data on 19 companies that use IBM Watson Speech to Text. The companies using IBM Watson Speech to Text are most often found in United States and in the Information Technology and Services industry. IBM Watson Speech to Text is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for IBM Watson Speech to Text usage goes back as far as 3 years and 6 months.

If you’re interested in the companies that use IBM Watson Speech to Text, you may want to check out Cisco VoIP and TANDBERG as well.

Who uses IBM Watson Speech to Text?

Some of the companies that use IBM Watson Speech to Text include:
Company Cornell University
Website cornell.edu
Country United States
Revenue >1000M
Company Size >10000
Company Verizon Communications Inc.
Website verizon.com
Country United States
Revenue >1000M
Company Size >10000
Company Tata Consultancy Services Ltd
Website tcs.com
Country India
Revenue >1000M
Company Size >10000
Company International Business Machines Corporation
Website ibm.com
Country United States
Revenue >1000M
Company Size >10000
Company City University of New York
Website cuny.edu
Country United States
Revenue >1000M
Company Size >10000

Target IBM Watson Speech to Text customers to accomplish your sales and marketing goals.

Customize IBM Watson Speech to Text users by location, employees, revenue, industry, and more.

IBM Watson Speech to Text Market Share and Competitors in Telephony Technologies

We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Telephony Technologies. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Telephony Technologies category, IBM Watson Speech to Text has a market share of about 0.1%. Other major and competing products in this category include:

IBM Watson Speech to Text
Telephony Technologies
IBM Watson Speech to Text market share in Telephony Technologies is about 0.03%
19
Companies using IBM Watson Speech to Text
Telephony Technologies
    Share this report: twitter share facebook share linkedin share

    What is IBM Watson Speech to Text?

    IBM Watson Speech to Text (STT) is a service on the IBM Cloud that transforms audio and voice into written text using machine learning technology. It is a cloud-native solution that uses deep-learning AI algorithms to apply knowledge about grammar, language structure and audio/voice signal composition to create customizable speech recognition for optimal text transcription.

    Top Industries that use IBM Watson Speech to Text

    Looking at IBM Watson Speech to Text customers by industry, we find that Information Technology and Services (32%), Higher Education (11%), Computer Software (11%) and Education Management (6%) are the largest segments.

    Companies using IBM Watson Speech to Text - Distribution by industry

    Top Countries that use IBM Watson Speech to Text

    43% of IBM Watson Speech to Text customers are in United States, 11% are in India and 6% are in Netherlands.

    IBM Watson Speech to Text customers by country

    Distribution of companies that use IBM Watson Speech to Text based on company size (Employees)

    Of all the customers that are using IBM Watson Speech to Text, 23% are small (<50 employees), 17% are medium-sized and 33% are large (>1000 employees).

    Companies using IBM Watson Speech to Text, by size (number of employees)

    Distribution of companies that use IBM Watson Speech to Text based on company size (Revenue)

    Of all the customers that are using IBM Watson Speech to Text, 27% are small (<$50M), 0% are medium-sized and 38% are large (>$1000M).

    IBM Watson Speech to Text clients - distribution by company revenue

    Target IBM Watson Speech to Text customers to accomplish your sales and marketing goals.

    Customize IBM Watson Speech to Text users by location, employees, revenue, industry, and more.

    © Enlyft | All rights reserved.