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市場調查報告書

商品編碼

1607695

語音轉文字 API 市場規模、佔有率、成長分析，按組件、按部署模式、按組織規模、按應用、按行業、按地區 - 行業預測，2024-2031 年

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

出版日期: 2024年12月06日 | 出版商:

SkyQuest | 英文 260 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

2022 年，語音轉文字API 的全球市場規模將達到23.2 億美元，從2023 年的27.7 億美元成長到2031 年的85.6 億美元，預計在預測期內（2024 年-2031 年）將以複合年成長率成長。

由於使用者體驗的改善和法律法規的收緊，語音轉文字 API 市場正在經歷顯著成長。這種需求是由各種應用程式中對風險管理、客戶支援和轉錄服務的需求所驅動的。關鍵的成長要素包括智慧型手機的興起、COVID-19 後行動銀行語音身份驗證需求的增加以及基於語音的設備的激增。此外，雲端基礎的文本轉語音解決方案的激增為殘疾學生提供了教育工具的機會，並且公司正在採用軟體即服務（SaaS）模型來尋求成本效益和效率的提高。該技術還提供基本服務，例如字幕和字幕視聽內容，促進有視覺障礙和聽力障礙的用戶的獨立理解。

北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 西班牙
- 法國
- 義大利
- 其他歐洲國家地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東/非洲
- 海灣合作理事會國家
- 南非
- 其他中東/非洲

競爭資訊

前5名企業對比
主要企業市場定位（2023年）
主要市場參與者所採取的策略
近期市場趨勢
公司市場佔有率分析（2023）
主要企業簡介
- 公司簡介
- 產品系列分析
- 按細分市場分類的佔有率分析
- 收益與前一年同期比較（2021-2023）

主要企業簡介

Open AI API
Amazon Web Service, Inc.
Amberscript Global BV
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

結論和建議

簡介目錄

Product Code: SQMIG45E2195

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.

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