Gartner Research

Competitive Landscape: Speech-to-Text Applications


Speech-to-text providers operate in a saturated market catalyzed by chatbots and virtual assistants. Technology strategic planners must look beyond accuracy rates toward contextual awareness, domain specificity and custom training through machine learning to successfully increase market share.

Published: 12 March 2018

ID: G00348151

Analyst(s): Adrian Lee Anthony Mullen

Table Of Contents


  • Competitive Situation and Trends
    • Machine-Learning Techniques Define STT Efficiency and Accuracy
    • Natural-Language Understanding Must Be UX-Centric
    • Accelerating Deployment Toward Success
  • Market Players
    • Specialist and Platform Providers Serve Different User Markets
  • The Future of Competition
  • Competitive Profiles
    • Amazon Web Services (Amazon Transcribe)
    • Baidu (DuerOS)
    • iFLYTEK (AIUI)
    • Kasisto (KAI)
    • Microsoft (Microsoft Cognitive Services)
    • Nuance (Nuance Recognizer)
  • References and Methodology
  • Definitions
    • Speech-to-Text Applications

Gartner Recommended Reading

Already a Gartner client?

Become a Client

This research is reserved for paying clients. Speak with a Gartner specialist to learn how you can access this research as a client, plus insights, advice and tools to help you achieve your goals.

Contact Information

All fields are required.

By clicking the "Submit" button, you are agreeing to the Gartner Terms of Use and Privacy Policy.

Experience Gartner Conferences

Master your role, transform your business and tap into an unsurpassed peer network through our world-leading virtual and in-person conference series.

©2021 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.