The Global Speech-to-text API Market size is expected to reach $5.8 billion by 2027, rising at a market growth of 19.0% CAGR during the forecast period.
The speech-to-text application programming interface (API) is a programming interface that enables the utilization of speech synthesis and recognition in a variety of devices and applications. Speech-to-text API is a multidisciplinary subject of computational linguistics that explores methods that allow computers to translate and recognize audible language into text. This is also called as Automatic Speech Recognition (ASR) or Speech-to-Text.
It encompasses electrical engineering, computer science, and linguistics research and knowledge. Deep learning and big data advancements have aided the field in recent years. The progress is evidenced not only by the rapid increase in the number of academic papers published in the subject but also by the widespread industry use of a range of deep learning approaches in the design and implementation of voice recognition systems around the world.
Any video or audio-based information can be captioned and subtitled using the speech-to-text API technology, allowing struggling listeners or learners with visual impairments to understand and complete their work without assistance. Speech-to-text APIs, for example, can help students with hearing loss communicate with their teachers and peers. However, the key obstacles in the speech-to-text API market are multilingual support for captioning and subtitling, as well as establishing unique vocabulary across multiple verticals.
Many organizations witnessed increased consumer pressure during the pandemic, while their number of available workers was reduced. Many contact centers were unable to meet demand or were forced to close due to lockdown restrictions, resulting in high wait times for customer service requests and a negative impact on the customer experience. Speech-to-text API is moving to the forefront of technology enablers as companies adopt a more strategic strategy that offers resilience into operations through flexibility and scalability while also working to increase operational efficiencies.
Medical speech recognition capabilities are sought by data analytics application developers to assist them swiftly and accurately transcribing video and audio incorporating COVID-19 terminology into text for downstream analytics. Amazon Transcribe Medical, for example, is a fully managed speech recognition (ASR) service that makes it simple to add medical speech-to-text capabilities to any application.
With the widespread acceptance of technology and the vast development of internet-based material, the demand for smart devices such as smart speakers and mobile phones has increased over the last decade, resulting in a greater need to make online video content available to everyone. Several new advanced gadgets with voice-controlled functions, such as content transcription and conference call analysis, are being introduced, allowing consumers to access educational, entertainment, and other information via their smart devices. As a result of the rising requirement to understand client preferences, speech-to-text apps have grown in popularity.
Several organizations collect client data about media material and translate it into texts to assist content providers in determining what types of content are acceptable and becoming more popular. Moreover, the demand for smart homes and smart appliances is rising as a result of a number of factors, including rising internet penetration, technological improvements, and increased awareness of automation.
Any video or audio-based content can be translated by a computer into text using the speech-to-text API technology, which allows struggling listeners or hard-of-hearing students read appropriately and complete their work without the assistance of others. Speech-to-text software, for example, can help a deaf-mute student interact with his or her professors and classmates. As a result, this system functions as assistive technology, allowing impaired persons to take advantage of ICT. For impaired students, the Individuals with Disabilities Education Act (IDEA) provides interactive software. In the classroom, these students are unable to hear well.
To address this, professors at Northern Illinois University, created an interactive software lesson that uses speech-to-text technology to assist these students in learning the Nemeth code (a Braille code for mathematics).
Transcribing audio from numerous channels is a significant barrier for this technology since defining many things becomes challenging, resulting in erroneous transcriptions or captions. In addition, background noise, low-quality microphones, reverb and echo, and accent changes all have the potential to degrade transcription accuracy.
Voice-to-text APIs should be appropriately trained for multi-channel speech recognition using a number of data sets; however, gathering a variety of data sets for establishing an approach and solution that accurately converts speech-to-text for many channels can be problematic for businesses. Moreover, privacy concerns about voice-enabled gadgets would discourage many entities to embrace these solutions.
Based on Component, the market is segmented into Solution and Services. In 2020, the Solutions segment acquired the highest revenue share of the speech-to-text market. APIs and Software Development Kits (SDKs) in the software market enable existing software or applications to convert video-based material to text format. The suppliers also provide related solutions to help streamline processes and create seamless results. To deal with the quickly rising video-based material, leading companies in numerous industries are using speech-to-text API. This is assisting businesses in discovering new methods to tap into the vast amounts of data available in order to produce new products, services, and processes, so gaining a competitive advantage.
Based on Vertical, the market is segmented into BFSI, IT & Telecom, Healthcare, Retail & eCommerce, Government & Defense, Media & Entertainment, Travel & Hospitality, and Others. The IT & Telecom segment obtained a significant revenue share of the Speech-to-text market in 2020. Through speech recognition, analytics, and reporting, the IT and telecom industries appear to be adopting voice technology to automate and enhance customer experience. Moreover, a growing number of IT and telecom companies are utilizing these solutions to streamlines their communication and other business operations.
Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium-sized Enterprises (SMEs). The SMEs segment obtained a significant revenue share of the Speech-to-text market in 2020. The growth of the segment is due to growing competition from emerging SMEs in large corporations. In addition, many SMEs are slowly moving towards the deployment of new and advanced solutions to provide enhanced customer experience.
Based on Deployment Type, the market is segmented into Cloud and On-premise. In 2020, the Cloud segment acquired the largest revenue share of the Speech-to-text market. The advantages of cloud technology, such as ease of deployment and low capital requirements, make it easier to embrace the cloud deployment paradigm. The COVID-19 pandemic is likely to encourage enterprises to switch to cloud-based speech-to-text API solutions that can be administered remotely, as lockdowns and social distancing practices encourage companies to move to cloud-based speech-to-text API solutions. The cloud segment of the speech-to-text API market would grow further with the growing demand for scalable, easy-to-use, and cost-effective speech-to-text API solutions.
Based on Application, the market is segmented into Fraud Detection & Prevention, Contact Center & Customer Management, Risk & Compliance Management, Content Transcription, Subtitle Generation, and Others. In 2020, the Fraud Detection & Prevention segment acquired the largest revenue share of the Speech-to-text market. This is due to the increased need for speech-to-text APIs in the media and entertainment business to transcribe audio and video content into searchable and shareable text.
| Report Attribute | Details |
|---|---|
| Market size value in 2020 | USD 1.8 Billion |
| Market size forecast in 2027 | USD 5.8 Billion |
| Base Year | 2020 |
| Historical Period | 2017 to 2019 |
| Forecast Period | 2021 to 2027 |
| Revenue Growth Rate | CAGR of 19% from 2021 to 2027 |
| Number of Pages | 345 |
| Number of Tables | 583 |
| Report coverage | Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Competitive Landscape, Companies Strategic Developments, Company Profiling |
| Segments covered | Component, Organization Size, Deployment Type, Application, Vertical, Region |
| Country scope | US, Canada, Mexico, Germany, UK, France, Russia, Spain, Italy, China, Japan, India, South Korea, Singapore, Malaysia, Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria |
| Growth Drivers |
|
| Restraints |
|
Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. In 2020, North America emerged as the leading region in the overall Speech-to-text market. In addition, the regional market would showcase a similar kind of trend even during the forecasting period. This is because of its substantial technology spending and the simple availability of solutions with a significant presence of suppliers. In addition, the regional market would grow further due to the growing requirement to extract relevant insights from voice data.
Free Valuable Insights: Global Speech-to-text API Market size to reach USD 5.8 Billion by 2027
The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; Google LLC and Microsoft Corporation are the forerunners in the Speech-to-text API Market. Companies such as IBM Corporation, Amazon Web Services, Inc., Baidu, Inc. are some of the key innovators in the Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include LivePerson, Inc. (VoiceBase, Inc.), VoiceCloud LLC, Speechmatics Ltd., IBM Corporation, Microsoft Corporation, Google LLC, Baidu, Inc., Twilio, Inc., Amazon Web Services, Inc., and Verint Systems, Inc.
By Component
By Vertical
By Organization Size
By Deployment Type
By Application
By Geography
The global speech-to-text API market size is expected to reach $5.8 billion by 2027.
The growing number of advanced speech-to-text solutions for differently-abled students are driving the market in coming years, however, transcribing audio from many channels could stymie the market for speech-to-text APIs limited the growth of the market.
LivePerson, Inc. (VoiceBase, Inc.), VoiceCloud LLC, Speechmatics Ltd., IBM Corporation, Microsoft Corporation, Google LLC, Baidu, Inc., Twilio, Inc., Amazon Web Services, Inc., and Verint Systems, Inc.
The Services segment shows high growth rate of 21.9% during (2021 - 2027).
The BFSI segment is generating high revenue in the Global Speech-to-text API Market by Vertical 2020, thereby, achieving a market value of $1.5 billion by 2027.
The North America market is the fastest growing region in the Global speech-to-text API market by Region 2020, and would continue to be a dominant market till 2027.
Our team of dedicated experts can provide you with attractive expansion opportunities for your business.
Unique Offerings 