+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

PRINTER FRIENDLY

Global Speech-to-text API Market Size, Share & Industry Trends Analysis Report By Component (Solution and Services), By Vertical, By Organization Size, By Deployment Type, By Application, By Regional Outlook and Forecast, 2021-2027

  • ID: 5570988
  • Report
  • February 2022
  • Region: Global
  • 345 Pages
  • Marqual IT Solutions Pvt. Ltd (KBV Research)

FEATURED COMPANIES

  • Amazon Web Services, Inc.
  • Baidu, Inc.
  • Google LLC
  • IBM Corporation
  • Microsoft Corporation
  • Speechmatics Ltd.
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.



COVID-19 Impact Analysis


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.

Market Growth Factors:


The massive penetration of smartphones is creating the requirement for voice-based devices


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.

The growing number of advanced speech-to-text solutions for differently-abled students


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).

Marketing Restraining Factor:


Transcribing audio from many channels could stymie the market for speech-to-text APIs.


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 is expected to discourage many entities to embrace these solutions.



Component Outlook


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.

Vertical Outlook


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.

Organization Size Outlook


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.

Deployment Type Outlook


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 is expected to grow further with the growing demand for scalable, easy-to-use, and cost-effective speech-to-text API solutions.

Application Outlook


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.

Regional Outlook


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 is expected to 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 is expected to grow further due to the growing requirement to extract relevant insights from voice data.

Cardinal Matrix - Speech-to-text API Market Competition Analysis




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.

Recent Strategy Deployed in Speech-to-text API Market


Partnerships, Collaborations and Agreements:

  • Sep-2021: Microsoft joined hands with CallMiner, a leading provider of conversation analytics. Following the collaboration, the world-class conversation analytics platform of CallMiner is expected to be integrated with the speech recognition solution of Microsoft. Through this integration, companies is expected to achieve higher value in their present tools and get a thorough understanding of customer conversations. By getting valuable insights, companies can help contact centers to enhance customer experiences and agent performance, and make informed business decisions across each department.
  • Jun-2021: Microsoft collaborated with ICICI Lombard, a general insurance company in India. Under this collaboration, Microsoft is expected to help ICICI Lombard to improve and automate the quality control processes. Moreover, ICICI Lombard is expected to leverage the Azure Speech Services and Natural Language Processing (NLP) of Microsoft to monitor its daily service calls made by customer service representatives. With the implementation of Azure's artificial tools, ICICI Lombard can enhance the accuracy of its quality audits.
  • Jan-2021: Microsoft formed a collaboration with Yellow Messenger, the world’s leading conversational AI platform. Following the collaboration, Yellow Messenger is expected to transform its voice automation solution with the help of Azure AI Speech Services and Natural Language Processing (NLP) tools. Through this collaboration, Microsoft is expected to help Yellow Messenger to develop customized voice models that enable superior accuracy and higher intent understanding.
  • Jan-2021: Amazon Web Services teamed up with Talkdesk, the cloud contact center for innovative enterprises. Following the collaboration, the integration of unique, cloud-native capabilities from Talkdesk CX Cloud with robust AI and machine learning services from AWA, provides Talkdesk customers with the flexibility, agility, and insight to better manage contact center operations and enhanced customer experience. Under this collaboration, Talkdesk Agent Assist and Talkdesk Speech Analytics is expected to harness the potential of Amazon Transcribe to increase the number of languages and accents in the products being available.
  • Aug-2020: Speechmatics partnered with Prosodica, a provider of innovative voice and audio analysis technology and a subsidiary of Vail Systems. Following the partnership, the two companies is expected to offer superior call experiences to improve customer care and enhance customer experiences.
  • Jun-2020: Speechmatics came into a partnership with Daisee, a leading provider of speech analytics software. Through this partnership, the two companies is expected to allow enterprises to comprehend and focus on the customer calls with the help of Lisa, a speech and sentiment analysis software.

Product Launches and Product Expansions:

  • Nov-2021: Baidu unveiled PLATO-XL, an AI model for dialog generation. The new model is trained on more than a billion samples from social media conversations in English as well as Chinese. Moreover, PLATO-XL promises advanced performance on various conversational benchmarks, outperforming presently available commercial chatbots.
  • Sep-2021: IBM rolled out the latest AI and automation capabilities in IBM Watson Assistant. Through these new capabilities, IBM is expected to make it easier for enterprises to develop improved customer service experiences across any channel-phone, SMS, web, and any messaging platform.
  • Aug-2021: AWS introduced Amazon Transcribe Call Analytics, a new feature that allows the easy extraction of beneficial insights from customer conversations with a single API call. The new solution includes natural language processing (NLP) capabilities particularly trained on customer calls and enhanced to offer extremely precise call transcripts and beneficial insights. By a simple API call, developers can effortlessly include call analytics in any application and obtain customer insights from conversations without the need to create AI pipelines and train custom ML models.
  • Aug-2021: IBM introduced new features in its IBM Watson Speech to Text technology. The new features can transcribe Indian English and Hindi language audios. Moreover, these latest services were developed with the help of advanced models that provide extremely high throughput and transcription accuracy.
  • Apr-2021: Verint unveiled Verint Intelligent Virtual Assistant Professional (IVA Pro) Package, a low-code conversational artificial intelligence (AI) offering that can easily transform current conversation data into automated self-service experiences. The package is a part of the prominent Verint Intelligent Virtual Assistant (IVA) offering and enables business professionals to rapidly implement a production-ready chatbot to divert calls and support customers.
  • Nov-2020: Speechmatics rolled out a first-of-its-kind Global Spanish language pack for automatic speech-to-text transcription at scale. Through this launch, the company aimed to offer an enhanced user experience with no extra software or complicated processes required. The new solution is rapid, precise, robust, more flexible, convenient, and inclusive.
  • Aug-2020: AWS unveiled AWS Contact Center Intelligence (CCI) solutions, an integration of services that allow customers to effortlessly combine AI into contact centers. Moreover, Machine learning capabilities like as transcription, text-to-speech, translation, corporate search, chatbots, business intelligence, and language comprehension may all be integrated into current contact center systems using AWS CCI solutions. In addition, customers can deploy contact center intelligence ML solutions to help self-service, post-call analytics, and live-call analytics & agent assist.
  • Apr-2020: Microsoft rolled out the latest neural text-to-speech (TTS) capabilities in Azure Cognitive Services. The new capabilities include three latest styles viz. newscast, customer service, and a digital assistant that allow natural-sounding speech and match the pattern and intonations of human voices.

Scope of the Study


Market Segments Covered in the Report:


By Component
  • Solution
  • Services

By Vertical
  • BFSI
  • IT & Telecom
  • Healthcare
  • Retail & eCommerce
  • Government & Defense
  • Media & Entertainment
  • Travel & Hospitality
  • Others

By Organization Size
  • Large Enterprises
  • Small & Medium-sized Enterprises (SMEs)

By Deployment Type
  • Cloud
  • On-premise

By Application
  • Fraud Detection & Prevention
  • Contact Center & Customer Management
  • Risk & Compliance Management
  • Content Transcription
  • Subtitle Generation
  • Others

By Geography

  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Key Market Players


List of Companies Profiled in the Report:

  • LivePerson, Inc. (VoiceBase, Inc.)
  • VoiceCloud LLC
  • Speechmatics Ltd.
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Baidu, Inc.
  • Twilio, Inc.
  • Amazon Web Services, Inc.
  • Verint Systems, Inc.

Unique Offerings from the Publisher

  • Exhaustive coverage
  • The highest number of market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free
Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Amazon Web Services, Inc.
  • Baidu, Inc.
  • Google LLC
  • IBM Corporation
  • Microsoft Corporation
  • Speechmatics Ltd.

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Speech-to-text API Market, by Component
1.4.2 Global Speech-to-text API Market, by Vertical
1.4.3 Global Speech-to-text API Market, by Organization Size
1.4.4 Global Speech-to-text API Market, by Deployment Type
1.4.5 Global Speech-to-text API Market, by Application
1.4.6 Global Speech-to-text API Market, by Geography
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 KBV Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2017-2021)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2017, Mar – 2021, Nov) Leading Players
Chapter 4. Global Speech-to-text API Market by Component
4.1 Global Solution Market by Region
4.2 Global Services Market by Region
Chapter 5. Global Speech-to-text API Market by Vertical
5.1 Global BFSI Market by Region
5.2 Global IT & Telecom Market by Region
5.3 Global Healthcare Market by Region
5.4 Global Retail & eCommerce Market by Region
5.5 Global Government & Defense Market by Region
5.6 Global Media & Entertainment Market by Region
5.7 Global Travel & Hospitality Market by Region
5.8 Global Others Market by Region
Chapter 6. Global Speech-to-text API Market by Organization Size
6.1 Global Large Enterprises Market by Region
6.2 Global Small & Medium-sized Enterprises (SMEs) Market by Region
Chapter 7. Global Speech-to-text API Market by Deployment Type
7.1 Global Cloud Market by Region
7.2 Global On-premise Market by Region
Chapter 8. Global Speech-to-text API Market by Application
8.1 Global Fraud Detection & Prevention Market by Region
8.2 Global Contact Center & Customer Management Market by Region
8.3 Global Risk & Compliance Management Market by Region
8.4 Global Content Transcription Market by Region
8.5 Global Subtitle Generation Market by Region
8.6 Global Others Market by Region
Chapter 9. Global Speech-to-text API Market by Region
9.1 North America Speech-to-text API Market
9.1.1 North America Speech-to-text API Market by Component
9.1.1.1 North America Solution Market by Country
9.1.1.2 North America Services Market by Country
9.1.2 North America Speech-to-text API Market by Vertical
9.1.2.1 North America BFSI Market by Country
9.1.2.2 North America IT & Telecom Market by Country
9.1.2.3 North America Healthcare Market by Country
9.1.2.4 North America Retail & eCommerce Market by Country
9.1.2.5 North America Government & Defense Market by Country
9.1.2.6 North America Media & Entertainment Market by Country
9.1.2.7 North America Travel & Hospitality Market by Country
9.1.2.8 North America Others Market by Country
9.1.3 North America Speech-to-text API Market by Organization Size
9.1.3.1 North America Large Enterprises Market by Country
9.1.3.2 North America Small & Medium-sized Enterprises (SMEs) Market by Country
9.1.4 North America Speech-to-text API Market by Deployment Type
9.1.4.1 North America Cloud Market by Country
9.1.4.2 North America On-premise Market by Country
9.1.5 North America Speech-to-text API Market by Application
9.1.5.1 North America Fraud Detection & Prevention Market by Country
9.1.5.2 North America Contact Center & Customer Management Market by Country
9.1.5.3 North America Risk & Compliance Management Market by Country
9.1.5.4 North America Content Transcription Market by Country
9.1.5.5 North America Subtitle Generation Market by Country
9.1.5.6 North America Others Market by Country
9.1.6 North America Speech-to-text API Market by Country
9.1.6.1 US Speech-to-text API Market
9.1.6.1.1 US Speech-to-text API Market by Component
9.1.6.1.2 US Speech-to-text API Market by Vertical
9.1.6.1.3 US Speech-to-text API Market by Organization Size
9.1.6.1.4 US Speech-to-text API Market by Deployment Type
9.1.6.1.5 US Speech-to-text API Market by Application
9.1.6.2 Canada Speech-to-text API Market
9.1.6.2.1 Canada Speech-to-text API Market by Component
9.1.6.2.2 Canada Speech-to-text API Market by Vertical
9.1.6.2.3 Canada Speech-to-text API Market by Organization Size
9.1.6.2.4 Canada Speech-to-text API Market by Deployment Type
9.1.6.2.5 Canada Speech-to-text API Market by Application
9.1.6.3 Mexico Speech-to-text API Market
9.1.6.3.1 Mexico Speech-to-text API Market by Component
9.1.6.3.2 Mexico Speech-to-text API Market by Vertical
9.1.6.3.3 Mexico Speech-to-text API Market by Organization Size
9.1.6.3.4 Mexico Speech-to-text API Market by Deployment Type
9.1.6.3.5 Mexico Speech-to-text API Market by Application
9.1.6.4 Rest of North America Speech-to-text API Market
9.1.6.4.1 Rest of North America Speech-to-text API Market by Component
9.1.6.4.2 Rest of North America Speech-to-text API Market by Vertical
9.1.6.4.3 Rest of North America Speech-to-text API Market by Organization Size
9.1.6.4.4 Rest of North America Speech-to-text API Market by Deployment Type
9.1.6.4.5 Rest of North America Speech-to-text API Market by Application
9.2 Europe Speech-to-text API Market
9.2.1 Europe Speech-to-text API Market by Component
9.2.1.1 Europe Solution Market by Country
9.2.1.2 Europe Services Market by Country
9.2.2 Europe Speech-to-text API Market by Vertical
9.2.2.1 Europe BFSI Market by Country
9.2.2.2 Europe IT & Telecom Market by Country
9.2.2.3 Europe Healthcare Market by Country
9.2.2.4 Europe Retail & eCommerce Market by Country
9.2.2.5 Europe Government & Defense Market by Country
9.2.2.6 Europe Media & Entertainment Market by Country
9.2.2.7 Europe Travel & Hospitality Market by Country
9.2.2.8 Europe Others Market by Country
9.2.3 Europe Speech-to-text API Market by Organization Size
9.2.3.1 Europe Large Enterprises Market by Country
9.2.3.2 Europe Small & Medium-sized Enterprises (SMEs) Market by Country
9.2.4 Europe Speech-to-text API Market by Deployment Type
9.2.4.1 Europe Cloud Market by Country
9.2.4.2 Europe On-premise Market by Country
9.2.5 Europe Speech-to-text API Market by Application
9.2.5.1 Europe Fraud Detection & Prevention Market by Country
9.2.5.2 Europe Contact Center & Customer Management Market by Country
9.2.5.3 Europe Risk & Compliance Management Market by Country
9.2.5.4 Europe Content Transcription Market by Country
9.2.5.5 Europe Subtitle Generation Market by Country
9.2.5.6 Europe Others Market by Country
9.2.6 Europe Speech-to-text API Market by Country
9.2.6.1 Germany Speech-to-text API Market
9.2.6.1.1 Germany Speech-to-text API Market by Component
9.2.6.1.2 Germany Speech-to-text API Market by Vertical
9.2.6.1.3 Germany Speech-to-text API Market by Organization Size
9.2.6.1.4 Germany Speech-to-text API Market by Deployment Type
9.2.6.1.5 Germany Speech-to-text API Market by Application
9.2.6.2 UK Speech-to-text API Market
9.2.6.2.1 UK Speech-to-text API Market by Component
9.2.6.2.2 UK Speech-to-text API Market by Vertical
9.2.6.2.3 UK Speech-to-text API Market by Organization Size
9.2.6.2.4 UK Speech-to-text API Market by Deployment Type
9.2.6.2.5 UK Speech-to-text API Market by Application
9.2.6.3 France Speech-to-text API Market
9.2.6.3.1 France Speech-to-text API Market by Component
9.2.6.3.2 France Speech-to-text API Market by Vertical
9.2.6.3.3 France Speech-to-text API Market by Organization Size
9.2.6.3.4 France Speech-to-text API Market by Deployment Type
9.2.6.3.5 France Speech-to-text API Market by Application
9.2.6.4 Russia Speech-to-text API Market
9.2.6.4.1 Russia Speech-to-text API Market by Component
9.2.6.4.2 Russia Speech-to-text API Market by Vertical
9.2.6.4.3 Russia Speech-to-text API Market by Organization Size
9.2.6.4.4 Russia Speech-to-text API Market by Deployment Type
9.2.6.4.5 Russia Speech-to-text API Market by Application
9.2.6.5 Spain Speech-to-text API Market
9.2.6.5.1 Spain Speech-to-text API Market by Component
9.2.6.5.2 Spain Speech-to-text API Market by Vertical
9.2.6.5.3 Spain Speech-to-text API Market by Organization Size
9.2.6.5.4 Spain Speech-to-text API Market by Deployment Type
9.2.6.5.5 Spain Speech-to-text API Market by Application
9.2.6.6 Italy Speech-to-text API Market
9.2.6.6.1 Italy Speech-to-text API Market by Component
9.2.6.6.2 Italy Speech-to-text API Market by Vertical
9.2.6.6.3 Italy Speech-to-text API Market by Organization Size
9.2.6.6.4 Italy Speech-to-text API Market by Deployment Type
9.2.6.6.5 Italy Speech-to-text API Market by Application
9.2.6.7 Rest of Europe Speech-to-text API Market
9.2.6.7.1 Rest of Europe Speech-to-text API Market by Component
9.2.6.7.2 Rest of Europe Speech-to-text API Market by Vertical
9.2.6.7.3 Rest of Europe Speech-to-text API Market by Organization Size
9.2.6.7.4 Rest of Europe Speech-to-text API Market by Deployment Type
9.2.6.7.5 Rest of Europe Speech-to-text API Market by Application
9.3 Asia Pacific Speech-to-text API Market
9.3.1 Asia Pacific Speech-to-text API Market by Component
9.3.1.1 Asia Pacific Solution Market by Country
9.3.1.2 Asia Pacific Services Market by Country
9.3.2 Asia Pacific Speech-to-text API Market by Vertical
9.3.2.1 Asia Pacific BFSI Market by Country
9.3.2.2 Asia Pacific IT & Telecom Market by Country
9.3.2.3 Asia Pacific Healthcare Market by Country
9.3.2.4 Asia Pacific Retail & eCommerce Market by Country
9.3.2.5 Asia Pacific Government & Defense Market by Country
9.3.2.6 Asia Pacific Media & Entertainment Market by Country
9.3.2.7 Asia Pacific Travel & Hospitality Market by Country
9.3.2.8 Asia Pacific Others Market by Country
9.3.3 Asia Pacific Speech-to-text API Market by Organization Size
9.3.3.1 Asia Pacific Large Enterprises Market by Country
9.3.3.2 Asia Pacific Small & Medium-sized Enterprises (SMEs) Market by Country
9.3.4 Asia Pacific Speech-to-text API Market by Deployment Type
9.3.4.1 Asia Pacific Cloud Market by Country
9.3.4.2 Asia Pacific On-premise Market by Country
9.3.5 Asia Pacific Speech-to-text API Market by Application
9.3.5.1 Asia Pacific Fraud Detection & Prevention Market by Country
9.3.5.2 Asia Pacific Contact Center & Customer Management Market by Country
9.3.5.3 Asia Pacific Risk & Compliance Management Market by Country
9.3.5.4 Asia Pacific Content Transcription Market by Country
9.3.5.5 Asia Pacific Subtitle Generation Market by Country
9.3.5.6 Asia Pacific Others Market by Country
9.3.6 Asia Pacific Speech-to-text API Market by Country
9.3.6.1 China Speech-to-text API Market
9.3.6.1.1 China Speech-to-text API Market by Component
9.3.6.1.2 China Speech-to-text API Market by Vertical
9.3.6.1.3 China Speech-to-text API Market by Organization Size
9.3.6.1.4 China Speech-to-text API Market by Deployment Type
9.3.6.1.5 China Speech-to-text API Market by Application
9.3.6.2 Japan Speech-to-text API Market
9.3.6.2.1 Japan Speech-to-text API Market by Component
9.3.6.2.2 Japan Speech-to-text API Market by Vertical
9.3.6.2.3 Japan Speech-to-text API Market by Organization Size
9.3.6.2.4 Japan Speech-to-text API Market by Deployment Type
9.3.6.2.5 Japan Speech-to-text API Market by Application
9.3.6.3 India Speech-to-text API Market
9.3.6.3.1 India Speech-to-text API Market by Component
9.3.6.3.2 India Speech-to-text API Market by Vertical
9.3.6.3.3 India Speech-to-text API Market by Organization Size
9.3.6.3.4 India Speech-to-text API Market by Deployment Type
9.3.6.3.5 India Speech-to-text API Market by Application
9.3.6.4 South Korea Speech-to-text API Market
9.3.6.4.1 South Korea Speech-to-text API Market by Component
9.3.6.4.2 South Korea Speech-to-text API Market by Vertical
9.3.6.4.3 South Korea Speech-to-text API Market by Organization Size
9.3.6.4.4 South Korea Speech-to-text API Market by Deployment Type
9.3.6.4.5 South Korea Speech-to-text API Market by Application
9.3.6.5 Singapore Speech-to-text API Market
9.3.6.5.1 Singapore Speech-to-text API Market by Component
9.3.6.5.2 Singapore Speech-to-text API Market by Vertical
9.3.6.5.3 Singapore Speech-to-text API Market by Organization Size
9.3.6.5.4 Singapore Speech-to-text API Market by Deployment Type
9.3.6.5.5 Singapore Speech-to-text API Market by Application
9.3.6.6 Malaysia Speech-to-text API Market
9.3.6.6.1 Malaysia Speech-to-text API Market by Component
9.3.6.6.2 Malaysia Speech-to-text API Market by Vertical
9.3.6.6.3 Malaysia Speech-to-text API Market by Organization Size
9.3.6.6.4 Malaysia Speech-to-text API Market by Deployment Type
9.3.6.6.5 Malaysia Speech-to-text API Market by Application
9.3.6.7 Rest of Asia Pacific Speech-to-text API Market
9.3.6.7.1 Rest of Asia Pacific Speech-to-text API Market by Component
9.3.6.7.2 Rest of Asia Pacific Speech-to-text API Market by Vertical
9.3.6.7.3 Rest of Asia Pacific Speech-to-text API Market by Organization Size
9.3.6.7.4 Rest of Asia Pacific Speech-to-text API Market by Deployment Type
9.3.6.7.5 Rest of Asia Pacific Speech-to-text API Market by Application
9.4 LAMEA Speech-to-text API Market
9.4.1 LAMEA Speech-to-text API Market by Component
9.4.1.1 LAMEA Solution Market by Country
9.4.1.2 LAMEA Services Market by Country
9.4.2 LAMEA Speech-to-text API Market by Vertical
9.4.2.1 LAMEA BFSI Market by Country
9.4.2.2 LAMEA IT & Telecom Market by Country
9.4.2.3 LAMEA Healthcare Market by Country
9.4.2.4 LAMEA Retail & eCommerce Market by Country
9.4.2.5 LAMEA Government & Defense Market by Country
9.4.2.6 LAMEA Media & Entertainment Market by Country
9.4.2.7 LAMEA Travel & Hospitality Market by Country
9.4.2.8 LAMEA Others Market by Country
9.4.3 LAMEA Speech-to-text API Market by Organization Size
9.4.3.1 LAMEA Large Enterprises Market by Country
9.4.3.2 LAMEA Small & Medium-sized Enterprises (SMEs) Market by Country
9.4.4 LAMEA Speech-to-text API Market by Deployment Type
9.4.4.1 LAMEA Cloud Market by Country
9.4.4.2 LAMEA On-premise Market by Country
9.4.5 LAMEA Speech-to-text API Market by Application
9.4.5.1 LAMEA Fraud Detection & Prevention Market by Country
9.4.5.2 LAMEA Contact Center & Customer Management Market by Country
9.4.5.3 LAMEA Risk & Compliance Management Market by Country
9.4.5.4 LAMEA Content Transcription Market by Country
9.4.5.5 LAMEA Subtitle Generation Market by Country
9.4.5.6 LAMEA Others Market by Country
9.4.6 LAMEA Speech-to-text API Market by Country
9.4.6.1 Brazil Speech-to-text API Market
9.4.6.1.1 Brazil Speech-to-text API Market by Component
9.4.6.1.2 Brazil Speech-to-text API Market by Vertical
9.4.6.1.3 Brazil Speech-to-text API Market by Organization Size
9.4.6.1.4 Brazil Speech-to-text API Market by Deployment Type
9.4.6.1.5 Brazil Speech-to-text API Market by Application
9.4.6.2 Argentina Speech-to-text API Market
9.4.6.2.1 Argentina Speech-to-text API Market by Component
9.4.6.2.2 Argentina Speech-to-text API Market by Vertical
9.4.6.2.3 Argentina Speech-to-text API Market by Organization Size
9.4.6.2.4 Argentina Speech-to-text API Market by Deployment Type
9.4.6.2.5 Argentina Speech-to-text API Market by Application
9.4.6.3 UAE Speech-to-text API Market
9.4.6.3.1 UAE Speech-to-text API Market by Component
9.4.6.3.2 UAE Speech-to-text API Market by Vertical
9.4.6.3.3 UAE Speech-to-text API Market by Organization Size
9.4.6.3.4 UAE Speech-to-text API Market by Deployment Type
9.4.6.3.5 UAE Speech-to-text API Market by Application
9.4.6.4 Saudi Arabia Speech-to-text API Market
9.4.6.4.1 Saudi Arabia Speech-to-text API Market by Component
9.4.6.4.2 Saudi Arabia Speech-to-text API Market by Vertical
9.4.6.4.3 Saudi Arabia Speech-to-text API Market by Organization Size
9.4.6.4.4 Saudi Arabia Speech-to-text API Market by Deployment Type
9.4.6.4.5 Saudi Arabia Speech-to-text API Market by Application
9.4.6.5 South Africa Speech-to-text API Market
9.4.6.5.1 South Africa Speech-to-text API Market by Component
9.4.6.5.2 South Africa Speech-to-text API Market by Vertical
9.4.6.5.3 South Africa Speech-to-text API Market by Organization Size
9.4.6.5.4 South Africa Speech-to-text API Market by Deployment Type
9.4.6.5.5 South Africa Speech-to-text API Market by Application
9.4.6.6 Nigeria Speech-to-text API Market
9.4.6.6.1 Nigeria Speech-to-text API Market by Component
9.4.6.6.2 Nigeria Speech-to-text API Market by Vertical
9.4.6.6.3 Nigeria Speech-to-text API Market by Organization Size
9.4.6.6.4 Nigeria Speech-to-text API Market by Deployment Type
9.4.6.6.5 Nigeria Speech-to-text API Market by Application
9.4.6.7 Rest of LAMEA Speech-to-text API Market
9.4.6.7.1 Rest of LAMEA Speech-to-text API Market by Component
9.4.6.7.2 Rest of LAMEA Speech-to-text API Market by Vertical
9.4.6.7.3 Rest of LAMEA Speech-to-text API Market by Organization Size
9.4.6.7.4 Rest of LAMEA Speech-to-text API Market by Deployment Type
9.4.6.7.5 Rest of LAMEA Speech-to-text API Market by Application
Chapter 10. Company Profiles
10.1 LivePerson, Inc. (VoiceBase, Inc.)
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Regional & Segmental Analysis
10.2 VoiceCloud LLC
10.2.1 Company Overview
10.3 Speechmatics Ltd.
10.3.1 Company Overview
10.3.2 Recent strategies and developments:
10.3.2.1 Partnerships, Collaborations, and Agreements:
10.3.2.2 Product Launches and Product Expansions:
10.4 IBM Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional & Segmental Analysis
10.4.4 Research & Development Expenses
10.4.5 Recent strategies and developments:
10.4.5.1 Product Launches and Product Expansions:
10.5 Microsoft Corporation
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expenses
10.5.5 Recent strategies and developments:
10.5.5.1 Partnerships, Collaborations, and Agreements:
10.5.5.2 Product Launches and Product Expansions:
10.6 Google LLC
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments:
10.6.6 SWOT Analysis
10.7 Baidu, Inc.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental Analysis
10.7.4 Research & Development Expenses
10.7.5 Recent strategies and developments:
10.7.5.1 Product Launches and Product Expansions:
10.7.5.2 Acquisition and Mergers
10.7.6 SWOT Analysis
10.8 Twilio, Inc.
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Regional Analysis
10.8.4 Research & Development Expense
10.8.5 Recent strategies and developments:
10.9 Amazon Web Services, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Recent strategies and developments:
10.9.4.1 Partnerships, Collaborations, and Agreements:
10.9.4.2 Product Launches and Product Expansions:
10.10. Verint Systems, Inc.
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research and Development Expense
10.10.5 Recent strategies and developments:
Note: Product cover images may vary from those shown
  • LivePerson, Inc. (VoiceBase, Inc.)
  • VoiceCloud LLC
  • Speechmatics Ltd.
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Baidu, Inc.
  • Twilio, Inc.
  • Amazon Web Services, Inc.
  • Verint Systems, Inc.
Note: Product cover images may vary from those shown

Loading
LOADING...