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PUBLISHER: SkyQuest | PRODUCT CODE: 1607695

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PUBLISHER: SkyQuest | PRODUCT CODE: 1607695

Speech-to-text API Market Size, Share, Growth Analysis, By Component, By Deployment Mode, By Organization Size, By Application, By Vertical, By Region - Industry Forecast 2024-2031

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Global Speech-to-text API Market size was valued at USD 2.32 billion in 2022 and is poised to grow from USD 2.77 billion in 2023 to USD 8.56 billion by 2031, growing at a CAGR of 15.2% in the forecast period (2024-2031).

The speech-to-text API market is experiencing significant growth driven by enhanced user experiences and stricter legal regulations. This demand is fueled by the need for risk management, customer support, and transcription services across various applications. Key growth factors include the rise of smartphones, increased voice authentication demands in mobile banking post-COVID-19, and the popularity of speech-based devices. Additionally, the proliferation of cloud-based speech-to-text solutions offers opportunities in educational tools for disabled students, while businesses increasingly adopt Software-as-a-Service (SaaS) models for cost-effectiveness and efficiency. The technology also provides essential services like captioning and subtitling for audio-visual content, facilitating independent comprehension for users with visual impairments and challenging listening conditions.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Speech-To-Text Api market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Speech-To-Text Api Market Segmental Analysis

Global XYZ Market is segmented by Component, by Deployment Mode, by Organization Size, by Application, by Vertical and by Region. Based on Component, the market is segmented into Software, Services. Based on Deployment Mode, the market is segmented into Cloud, On-premises. Based on Organization Size, the market is segmented into Large enterprises, Small and medium-sized enterprises (SMEs). Based on Application, the market is segmented into Risk and Compliance Management, Fraud Detection and Prevention, Customer Management, Content Transcription, Contact Center Management, Subtitle Generation, Other Applications. Based on Vertical, the market is segmented into Banking Finance Services and Insurance (BFSI), IT and Telecom, Media and Entertainment, Healthcare and Life Sciences, Retail and eCommerce, Travel and Hospitality, Government and Defence, Education, Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.

Driver of the Global Speech-To-Text Api Market

The Global Speech-to-Text API market has been significantly influenced by the rising demand for smart devices over the last decade, including smart speakers and smartphones. As the internet continues to expand and more people utilize technology, there is a pressing need to make online video content accessible, further boosting the interest in speech-to-text applications. Advanced devices equipped with voice recognition capabilities have enabled users to effortlessly access educational and entertaining materials, which has subsequently heightened the necessity for content transcription and conference call analytics. Additionally, the COVID-19 pandemic accelerated the shift towards remote work, prompting a surge in demand for speech-to-text technology due to increased reliance on smart appliances and home automation. This growing technological landscape has underscored the need to comprehend customer preferences, thereby driving the expansion of the Speech-to-Text API market.

Restraints in the Global Speech-To-Text Api Market

One of the primary challenges facing the Global Speech-to-Text API market is the complexity involved in accurately transcribing audio from multiple sources. This difficulty arises from various factors such as background noise, subpar microphone quality, reverb, echo, and variations in accents, all of which can hinder transcription accuracy. Additionally, training speech-to-text APIs for effective multi-channel recognition requires diverse datasets; however, acquiring these datasets poses significant challenges for companies. As a result, developing a reliable methodology and solution to ensure accurate speech-to-text conversion across different audio channels becomes a significant obstacle in the market.

Market Trends of the Global Speech-To-Text Api Market

The Global Speech-To-Text API market is witnessing robust growth driven by advancements in accuracy and features like speaker diarization and multilingual support. As major players and new entrants innovate, they are focusing on enhancing word error rate performance and offering tailored language models trained on client data. Increasing demand for technologies that facilitate work efficiency and improve accessibility further propels market expansion. The convergence of AI-driven solutions with enterprise needs and communication platforms is set to create lucrative business opportunities, positioning the Speech-To-Text API sector as a vital component in the evolving tech landscape, especially through 2023 and beyond.

Product Code: SQMIG45E2195

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Driver & Opportunities
    • Restraints & Challenges
  • Porters Analysis & Impact
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2023
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Technological Advancement
  • Regulatory Landscape
  • Case Studies

Global Speech-to-text API Market Size by Component & CAGR (2024-2031)

  • Software
  • Services
    • Professional Services
    • Training and Consulting
    • Deployment and Integrations
    • Support and Maintenance
    • Managed Services

Global Speech-to-text API Market Size by Deployment Mode & CAGR (2024-2031)

  • Cloud
  • On-premises

Global Speech-to-text API Market Size by Organization Size & CAGR (2024-2031)

  • Large enterprises
  • Small and medium-sized enterprises (SMEs)

Global Speech-to-text API Market Size by Applications & CAGR (2024-2031)

  • Risk and Compliance Management
  • Fraud Detection and Prevention
  • Customer Management
  • Content Transcription
  • Contact Center Management
  • Subtitle Generation
  • Other Applications
    • Conference call analysis
    • Business process monitoring
    • Quality management

Global Speech-to-text API Market Size by Vertical & CAGR (2024-2031)

  • Banking Finance Services and Insurance (BFSI)
  • IT and Telecom
  • Media and Entertainment
  • Healthcare and Life Sciences
  • Retail and eCommerce.
  • Travel and Hospitality
  • Government and Defence
  • Education
  • Other Verticals
    • Manufacturing
    • Automotive
    • Transportation
    • Logistics

Global Speech-to-text API Market Size by Region & CAGR (2024-2031)

  • North America, (by Component, by Deployment Mode, by Organization Size, by Application, by Vertical)
    • US
    • Canada
  • Europe, (by Component, by Deployment Mode, by Organization Size, by Application, by Vertical)
    • UK
    • Germany
    • Spain
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific, (by Component, by Deployment Mode, by Organization Size, by Application, by Vertical)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia Pacific
  • Latin America, (by Component, by Deployment Mode, by Organization Size, by Application, by Vertical)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa, (by Component, by Deployment Mode, by Organization Size, by Application, by Vertical)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2023
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2023
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

  • Open AI API
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Web Service, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amberscript Global B.V.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AssemblyAI, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Deepgram
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Rev.com, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Speechmatics Ltd.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Verint System, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Vocapia Research SAS
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • VoiceBase, Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Otter.ai
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Trint
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Verbit.ai
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Behavioral Signals
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Gnani.ai
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Sayint.ai
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendation

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