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Speech-to-text Api Market

Speech-to-Text API Market by Deployment Mode(Cloud and On-Premises), Application(Fraud Detection & Prevention, Risk & Compliance Management, Customer Management, Content Transcription, and Other Applications), and Industry Vertical(IT & Telecom, Travel & Hospitality, Media & Entertainment, Retail & Ecommerce, Healthcare, Manufacturing, Government & Defense, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

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Dec 2021 | 931 Views
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Speech-to-Text API Market Insight

Speech-to-text application programming interface is an API that allows use of speech synthesis and speech recognition within various devices and applications. Speech-to-text API is an interdisciplinary subfield of computational linguistics that develops technologies and methodologies, which enable translation and recognition of oral language into text by computer. This is also known as Automatic Speech Recognition (ASR) or Speech-to-text (STT). It includes research and knowledge in electrical engineering, computer science, and linguistics.Currently, the field has benefited from advances in deep learning and big data. The advances are demonstrated not only by a rapid increase in number of academic papers published in the field, but by the worldwide industry adoption of a variety of deep learning methods in designing and implementing speech recognition systems.

Speech-to-Text API Market Scope and Structure Analysis:

Report Metric


Market size available for years


Base year considered


Forecast period


Forecast units

Value (USD)

Segments covered

Deployment Mode, Application, Industry Vertical, and Region


North America (U.S. and Canada), Europe (Germany, UK, France, and the Rest of Europe), Asia-Pacific (China, Japan, India, and the Rest of Asia-Pacific), Latin America (Brazil, Mexico, and the Rest of LATAM) and Middle East and Africa

Companies covered

Major players analyzed include AWS, Inc., Contuspvt Ltd, Deepgram, Inc., Facebook, Inc., Google, Inc., IBM Corporation, iFLYTEK co Ltd., Microsoft Corporation, Twilio Inc., Verint Systems Inc., Voice Base, Inc.,


Impact of COVID-19 onSpeech-to-Text API Market:

  • All businesses are facing risks including shifts in customer touchpoints, supply chain disruptions, unavailability of critical resources, and gaps in business continuity protocols.
  • Shifts from physical to digital purchasing has led to surge in transaction volumes and precipitous decline in demand.
  • To respond to immediate business needs in dynamic environment reporting, monitoring and decision-making with real time data is necessary.
  • There are workforce productivity challenges,as employees working remotely, associated with connectivity and security.

Top impacting factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

Increase in adoption of smart speakers and phones among individuals across the globe is a major factor that drives the market growth. This is attributed to speech-to-text API feature that recognizes a human voice and follows command without the need for human interference. Moreover, rise in inclination toward voice-based technology products and solutions among industries and individuals is also a factor expected to propel the demand for speech-to-text API software in the coming years.However, lack of multilingual support that transcribe audio from multi-source is a factor that hinders the speech-to-text API market growth. Furthermore, on-going R&D for innovative speech-to-text solutions for disabled population is expected to create significant revenue growth opportunities for players operating in the speech-to-text API market. In addition, growth inspeech analytics and recognition technologies across industry verticals is expected to garner high revenue growth in the coming years.

Rise in adoption of smart speakers and phones

With increase in adoption of digital voice assistants, the market is expected to witness high growth rate as it operates as an interface between devices and human. This has further increased the speech-to-text API demand among consumer technology and repair ecosystem to help its end userswith hand free experience.Hence, advancements in electronics with technology, coupled with rise incustomer demand for self-services further boosts growth of the market.

The primary example of speech-to-text API is a chatbot. In addition, many retrofit industries are adopting initiatives for thedevelopment of self-learning chatbots that help them to deliver a more human-like conversational experience, whichpropels the market growth at a significant rate. This is attributed to cost saving benefit that also helps in minimizing or eliminating the need forhuman intervention and improves customer experience.

Moreover, major smart phone users prefer voice-based search API’s as they are easy to use and accessible. In addition, voice-based products known as intelligent virtual assistance such as Amazon’s voice technology product, Alexa, have raised its sales at a significant rate, which, in turn, is expected to drive the growth of the market.

Transcribing audio from multi channels

A smart virtual assistant is mostly depended on recognition side. Technology users prefer for quick responsive system. A smart virtual assistant uses recognition time, which can change from few seconds to few hours to days depending on the underlying complex software, abilities of integrated hardware, strength, and speed of the internet connectivity and adjusts itself to user’s speech patterns. This factor is expected to hamper the growth of market to a certain extent. Another barrier proven in the smart virtual assistant is the extra noise on voice activated systems, which have negative impact on speech recognition devices and is expected to further hamper the market growth.

Key segments covered:



Deployment Mode

  • Cloud
  • On-Premises


  • Fraud Detection & Prevention
  • Risk & Compliance Management
  • Customer Management
  • Content Transcription
  • Other Applications

Industry Vertical

  • IT & Telecom
  • Travel & Hospitality
  • Media & Entertainment
  • Retail & Ecommerce
  • Healthcare
  • Manufacturing
  • Government & Defense
  • Others


Key benefits of the report:

  • This study presents analytical depiction of the globalspeech-to-textAPI industry along with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the globalspeech-to-textAPI market share.
  • The current market is quantitatively analyzed from 2020 to 2027 to highlight market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.
  • The report provides a detailed market analysis based on the present and future competitive intensity of the market.
With collective industry experience of about 200 years of its analysts and experts, Allied Market Research (AMR) encompasses most infallible research methodology for its market intelligence and industry analysis. We do not only engrave the deepest levels of markets but also sneak through its slimmest details for the purpose of our market estimates and forecasts. Our approach helps in building greater market consensus view for size, shape and industry trends within each industry segment. We carefully factor in industry trends and real developments for identifying key growth factors and future course of the market. Our research proceeds are the resultant of high quality data, expert views and analysis and high value independent opinions. Our research process is designed to deliver balanced view of the global markets and allow stakeholders to make informed decisions.

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We refer a broad array of industry sources for our secondary, which typically include; however, not limited to: Company SEC filings, annual reports, company websites, broker & financial reports and investor presentations for competitive scenario and shape of the industry

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