세계의 음성 텍스트화 API(Speech-to-text API) 시장 규모, 점유율, 성장 분석 : 구성요소별, 배포 모드별, 조직 규모별, 용도별, 산업별, 지역별 - 산업 예측(2024-2031년)
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
상품코드:1607695
리서치사:SkyQuest Technology Consulting Pvt. Ltd.
발행일:2024년 12월
페이지 정보:영문 260 Pages
라이선스 & 가격 (부가세 별도)
한글목차
음성 텍스트화 API 세계 시장 규모는 2022년에 23억 2,000만 달러로 평가되었습니다. 2023년 27억 7,000만 달러에서 2031년에는 85억 6,000만 달러로 성장하고, 예측 기간(2024-2031년) CAGR은 15.2%를 나타낼 전망입니다.
음성-텍스트 변환 API 시장은 사용자 경험 향상과 법적 규제 강화로 인해 크게 성장하고 있습니다. 이러한 수요는 다양한 용도의 위험 관리, 고객 지원 및 녹취 서비스에 대한 수요에 의해 촉진되고 있습니다. 주요 성장 요인으로는 스마트폰의 부상, 코로나19 이후 모바일 뱅킹에서 음성 인증에 대한 수요 증가, 음성 기반 기기의 대중화 등을 들 수 있습니다. 또한, 클라우드 기반 음성 낭독 솔루션의 확산은 장애 학생을 위한 교육 도구에 기회를 제공하고 있으며, 기업들은 비용 효율성과 효율성을 위해 SaaS(Software-as-a-Service) 모델 채택을 늘리고 있습니다. 또한, 이 기술은 시청각 컨텐츠에 캡션과 자막을 추가하는 등 시청각 컨텐츠에 필수적인 서비스를 제공하여 시각 장애나 청각 장애가 있는 사용자들의 독립적인 이해를 돕습니다.
목차
서론
조사 목적
조사 범위
정의
조사 방법
정보 조달
2차 데이터와 1차 데이터 방법
시장 규모 예측
시장 전제조건과 제한
주요 요약
세계 시장 전망
공급과 수요 동향 분석
부문별 기회 분석
시장 역학과 전망
시장 개요
시장 규모
시장 역학
성장 촉진요인과 기회
성장 억제요인과 과제
Porter's Five Forces 분석과 영향
경쟁 기업간 경쟁 관계
대체품의 위협
바이어의 교섭력
신규 진출업체의 위협
공급 기업의 교섭력
주요 시장 인사이트
중요 성공 요인
경쟁 정도
주요 투자 기회
시장 생태계
시장의 매력 지수(2023년)
PESTEL 분석
거시경제 지표
밸류체인 분석
가격 분석
기술 진보
규제 상황
사례 연구
음성 텍스트화 API 시장 규모 : 컴포넌트별&CAGR(2024-2031년)
소프트웨어
서비스
전문 서비스
트레이닝 및 컨설팅
전개 및 통합
지원 및 유지관리
매니지드 서비스
음성 텍스트화 API 시장 규모 : 전개 모드별&CAGR(2024-2031년)
클라우드
온프레미스
음성 텍스트화 API 시장 규모 : 조직 규모별&CAGR(2024-2031년)
대기업
중소기업
음성 텍스트화 API 시장 규모 : 용도별&CAGR(2024-2031년)
리스크 및 컴플라이언스 관리
부정행위 감지 및 방지
고객 관리
컨텐츠 전사
컨택센터 관리
자막 생성
기타 용도
전화 회의 분석
비즈니스 프로세스 모니터링
품질관리
음성 텍스트화 API 시장 규모 : 업계별&CAGR(2024-2031년)
은행/금융서비스/보험(BFSI)
IT 및 통신
미디어 및 엔터테인먼트
헬스케어 및 생명과학
소매업 및 전자상거래
여행 및 호스피탈리티
정부 및 방위
교육
기타 업종
제조업
자동차
운송
물류
음성 텍스트화 API 시장 규모 : 지역별&CAGR(2024-2031년)
북미
미국
캐나다
유럽
영국
독일
스페인
프랑스
이탈리아
기타 유럽
아시아태평양
중국
인도
일본
한국
기타 아시아태평양
라틴아메리카
브라질
기타 라틴아메리카
중동 및 아프리카
GCC 국가
남아프리카공화국
기타 중동 및 아프리카
경쟁 정보
주요 5개사 비교
주요 기업의 시장 포지셔닝(2023년)
주요 시장 기업이 채택한 전략
시장 최근 동향
기업의 시장 점유율 분석(2023년)
주요 기업 개요
기업 개요
제품 포트폴리오 분석
부문별 점유율 분석
매출 전년대비 비교(2021-2023년)
주요 기업 개요
Open AI API
Amazon Web Service, Inc.
Amberscript Global B.V.
AssemblyAI, Inc.
Deepgram
Google Inc.
IBM Corporation
Microsoft Corporation
Rev.com, Inc.
Speechmatics Ltd.
Verint System, Inc.
Vocapia Research SAS
VoiceBase, Inc.
Otter.ai
Trint
Verbit.ai
Behavioral Signals
Gnani.ai
Sayint.ai
결론과 추천 사항
LSH
영문 목차
영문목차
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.
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)
