We have data on 13 companies that use IBM Watson Text to Speech. The companies using IBM Watson Text to Speech are most often found in United States and in the Information Technology and Services industry. IBM Watson Text to Speech is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for IBM Watson Text to Speech usage goes back as far as 3 years and 2 months.
|Company||International Business Machines Corporation|
|International Business Machines Corporation||ibm.com||United States||>1000M||>10000|
|FCB Health||fcbhealthny.com||United States||200M-1000M||1000-5000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Natural Language Processing (NLP). 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 Natural Language Processing (NLP) category, IBM Watson Text to Speech has a market share of about 0.1%. Other major and competing products in this category include:
IBM Watson Text to Speech (TTS) is a cloud service that convert written text into natural-sounding audio in a variety of languages and voices using neural speech synthesizing techniques. It is used to improve the customer experience and engagement by interacting with users in multiple languages and tones. It helps increase content accessibility for users with different abilities, provide audio options to avoid distracted driving or automate customer service interactions to increase efficiencies.
Looking at IBM Watson Text to Speech customers by industry, we find that Information Technology and Services (32%) is the largest segment.
40% of IBM Watson Text to Speech customers are in United States and 9% are in France.
Of all the customers that are using IBM Watson Text to Speech, a majority (57%) are large (>1000 employees), 2% are small (<50 employees) and 1% are medium-sized.
Of all the customers that are using IBM Watson Text to Speech, a majority (57%) are large (>$1000M), 0% are small (<$50M) and 0% are medium-sized.