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2021581

人工智慧語音辨識市場預測（至2034年）：按組件、類型、部署模式、技術、應用、最終用戶和地區分類的全球分析

AI in Voice Recognition Market Forecasts to 2034- Global Analysis By Component (Hardware, Software, Services and Speech Engines & APIs), Type, Deployment Mode, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球語音辨識AI 市場規模將達到 226.2 億美元，在預測期內將以 22.9% 的複合年成長率成長，到 2034 年將達到 1,177.6 億美元。

人工智慧語音辨識是指將先進的機器學習演算法、自然語言處理和深度神經網路結合，用於識別、理解和回應人類語音的系統。這使得語音能夠準確地進行語音轉文本、說話者識別，並能跨多種語言和口音理解上下文。透過不斷從大量資料集中學習，人工智慧語音辨識系統能夠提高準確性、適應性和即時回應能力。這些技術廣泛應用於虛擬助理、自動化客服、醫療保健、汽車系統、安全解決方案等領域，進而提升使用者互動體驗、營運效率和數位平台的可近性。

人工智慧、機器學習和自然語言處理技術的進步

人工智慧 (AI)、機器學習 (ML) 和自然語言處理 (NLP) 的進步正顯著推動市場成長。深度學習模型和語音演算法的持續改進提高了準確性、上下文理解能力和多語言處理能力。這些技術使系統能夠更精確地處理複雜的語音指令，並適應不同的口音和說話風格。隨著創新加速，各行各業的公司正擴大將語音解決方案整合到其應用程式中，以改善用戶體驗、提高自動化效率並輔助決策。

資料隱私和安全問題

對資料隱私和安全的擔憂仍然是市場發展的主要限制因素。語音資料通常包含高度敏感的個人和財務訊息，因此極易遭受資料外洩、濫用和未授權存取。資料保護法等法規結構提出了嚴格的合規要求，增加了企業的營運複雜性。此外，使用者對始終開啟的監聽設備和資料儲存方式的擔憂也令他們猶豫不決。這些挑戰可能會阻礙語音技術的普及，尤其是在保密和資料完整性至關重要的領域。

智慧型設備和物聯網的普及

智慧型設備和物聯網 (IoT) 生態系統的快速普及為語音辨識人工智慧市場帶來了巨大的機會。語音互動介面正成為智慧型手機、智慧音箱、智慧家居系統和聯網汽車的必備功能，提供流暢直覺的使用者體驗。隨著物聯網的不斷普及，人們對高效能、免持控制和即時通訊的需求日益成長。這一趨勢正在推動語音技術的創新，使企業能夠開發可擴展的解決方案，從而提升整個智慧環境的便利性、連接性和用戶參與度。

高昂的實施和開發成本

高昂的實施和開發成本對語音辨識人工智慧市場構成重大威脅。開發先進的語音辨識系統需要對先進的基礎設施、資料收集、模型訓練和持續的系統最佳化進行大量投資。此外，將這些技術整合到現有的企業系統中可能既複雜又耗費資源。對於中小企業而言，承擔此類投資可能十分困難，從而限制了科技的普及應用。這些財務和技術壁壘可能會減緩市場成長，尤其是在對成本較為敏感的地區和產業。

新冠疫情的影響：

新冠疫情加速了人工智慧在語音辨識技術的應用，因為各組織機構迅速轉向非接觸式和遠端互動解決方案。語音系統在客戶服務、醫療分流和虛擬助理等領域變得至關重要，減少了對實體介面的需求。隨著人們對數位平台、遠距辦公和遠端醫療服務的依賴性增強，需求進一步擴大。此外，疫情凸顯了自動化和即時通訊的重要性，促使企業投資先進的語音技術以增強營運韌性。

在預測期內，虛擬助理細分市場預計將成為最大的細分市場。

在預測期內，虛擬助理領域預計將佔據最大的市場佔有率，這主要得益於智慧型手機和企業平台上語音助理的普及。企業正擴大利用虛擬助理來增強客戶互動、簡化工作流程並提供個人化服務。自然語言處理和情境理解技術的不斷進步進一步提升了使用者體驗，使虛擬助理更加直覺高效，從而鞏固了其在消費者和商業應用領域的領先地位。

在預測期內，醫療保健產業預計將呈現最高的複合年成長率。

在預測期內，醫療保健產業預計將呈現最高的成長率，這主要得益於臨床和行政工作中對高效、免手動解決方案日益成長的需求。人工智慧語音辨識技術正擴大應用於病歷轉錄、病患資料管理和線上諮詢，從而提高準確性並減輕醫護人員的負擔。遠端照護和數位健康平台的日益普及也進一步推動了這一成長，因為語音技術能夠實現無縫互動、快速記錄，並在數據管理至關重要的環境中改善患者照護。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其強大的技術基礎設施、先進的人工智慧解決方案的高普及率以及主要市場參與者的存在。該地區受益於研發方面的巨額投資，以及醫療、汽車和家用電子電器等產業對語音應用的早期採用。此外，對自動化和智慧型設備日益成長的需求也持續推動該地區人工智慧語音辨識解決方案的擴張。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的數位轉型、智慧型手機普及率的提高以及智慧型裝置的廣泛應用。新興經濟體物聯網生態系統的擴展和人工智慧技術投資的增加，進一步推動了市場成長。此外，該地區語言的多樣性也推動了對先進的多語言語音辨識系統的需求，促進了創新和在地化。政府支持數位化的措施也加速了人工智慧語音解決方案的普及應用。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章 全球語音辨識市場：依組件分類

  • 硬體
  • 軟體類型
  • 服務
  • 語音引擎和API

第6章：全球語音辨識市場：依類型分類

  • 說話者相關系統
  • 與說話者無關的系統
  • 混合語音辨識系統

第7章：全球語音辨識市場：依部署模式分類

  • 基於雲端的
  • 現場
  • 混合實現

第8章：全球語音辨識市場：依技術分類

  • 自動語音辨識（ASR）
  • 自然語言處理（NLP）
  • 深度學習與神經網路
  • 語音生物識別
  • 語音轉文本
  • 邊緣人工智慧/設備端處理

第9章：全球語音辨識市場：依應用領域分類

  • 語音搜尋
  • 身份驗證和安全
  • 轉錄和記錄
  • 客戶服務自動化
  • 虛擬助手
  • 客服中心
  • 智慧型設備和物聯網
  • 汽車資訊娛樂系統

第10章：全球語音辨識市場：依最終用戶分類

  • 零售與電子商務
  • 衛生保健
  • 車
  • 資訊科技/通訊
  • 政府/國防
  • 媒體與娛樂
  • 教育

第11章 全球語音辨識市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • Alphabet Inc.
  • Amazon.com Inc.
  • Apple Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Nuance Communications
  • Baidu Inc.
  • iFLYTEK Co., Ltd.
  • SoundHound AI
  • Cerence Inc.
  • Samsung Electronics
  • Deepgram Inc.
  • AssemblyAI Inc.
  • Speechmatics Ltd.
  • ElevenLabs Inc.
Product Code: SMRC34921

According to Stratistics MRC, the Global AI in Voice Recognition Market is accounted for $22.62 billion in 2026 and is expected to reach $117.76 billion by 2034 growing at a CAGR of 22.9% during the forecast period. Artificial Intelligence in Voice Recognition refers to the integration of advanced machine learning algorithms, natural language processing, and deep neural networks into systems that can identify, interpret, and respond to human speech. It enables accurate speech-to-text conversion, speaker identification, and contextual understanding across diverse languages and accents. By continuously learning from vast datasets, AI-driven voice recognition systems improve accuracy, adaptability, and real-time responsiveness. These technologies are widely applied in virtual assistants, customer service automation, healthcare, automotive systems, and security solutions, enhancing user interaction, operational efficiency, and accessibility across digital platforms.

Market Dynamics:

Driver:

Advancements in AI, ML, and NLP

Advancements in artificial intelligence, machine learning, and natural language processing are significantly driving the growth of the market. Continuous improvements in deep learning models and speech algorithms have enhanced accuracy, contextual understanding, and multilingual capabilities. These technologies enable systems to process complex voice commands with higher precision and adapt to diverse accents and speech patterns. As innovation accelerates, organizations are increasingly integrating voice-enabled solutions into applications, improving user experience, automation efficiency, and decision-making across industries.

Restraint:

Data Privacy & Security Concerns

Data privacy and security concerns remain a critical restraint for the market. Voice data often contains sensitive personal and financial information, making it vulnerable to breaches, misuse, and unauthorized access. Regulatory frameworks such as data protection laws impose strict compliance requirements, increasing operational complexity for companies. Additionally, concerns over continuous listening devices and data storage practices create hesitation among users. These challenges can hinder adoption rates, particularly in sectors where confidentiality and data integrity are paramount.

Opportunity:

Proliferation of Smart Devices & IoT

The rapid proliferation of smart devices and Internet of Things (IoT) ecosystems presents significant opportunities for the AI in voice recognition market. Voice-enabled interfaces are becoming integral to smartphones, smart speakers, home automation systems, and connected vehicles, offering seamless and intuitive user interactions. As IoT adoption expands, the demand for efficient, hands-free control and real-time communication is increasing. This trend encourages innovation in voice technologies, enabling companies to develop scalable solutions that enhance convenience, connectivity, and user engagement across smart environments.

Threat:

High Implementation & Development Costs

High implementation and development costs pose a notable threat to the AI in voice recognition market. Developing sophisticated voice recognition systems requires substantial investment in advanced infrastructure, data acquisition, model training, and continuous system optimization. Additionally, integrating these technologies into existing enterprise systems can be complex and resource-intensive. Small and medium-sized enterprises may find it difficult to afford such investments, limiting widespread adoption. These financial and technical barriers can slow market growth, especially in cost-sensitive regions and industries.

Covid-19 Impact:

The outbreak of COVID-19 accelerated the adoption of AI in voice recognition technologies as organizations rapidly shifted toward contactless and remote interaction solutions. Voice-enabled systems became essential in customer service, healthcare triaging, and virtual assistance, reducing the need for physical interfaces. Increased reliance on digital platforms, remote working, and telehealth services further boosted demand. Additionally, the pandemic highlighted the importance of automation and real-time communication, encouraging enterprises to invest in advanced voice technologies to enhance operational resilience.

The virtual assistant's segment is expected to be the largest during the forecast period

The virtual assistant's segment is expected to account for the largest market share during the forecast period, due to widespread adoption of voice-enabled digital assistants across smartphones and enterprise platforms. Businesses increasingly leverage virtual assistants to enhance customer interaction, streamline workflows, and provide personalized services. Continuous advancements in natural language processing and contextual understanding further improve user experience, making virtual assistants more intuitive and efficient, thereby strengthening their dominance across both consumer and commercial applications.

The healthcare segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare segment is predicted to witness the highest growth rate, due to growing demand for efficient, hands-free solutions in clinical and administrative settings. AI-powered voice recognition is increasingly used for medical transcription, patient data management, and virtual consultations, improving accuracy and reducing workload for healthcare professionals. Rising adoption of telemedicine and digital health platforms further supports growth, as voice technologies enable seamless interaction, faster documentation, and enhanced patient care in a highly data-sensitive environment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to strong technological infrastructure, high adoption of advanced AI solutions, and the presence of major market players. The region benefits from significant investments in research and development, along with early adoption of voice-enabled applications across industries such as healthcare, automotive, and consumer electronics. Additionally, increasing demand for automation and smart devices continues to drive the expansion of AI-powered voice recognition solutions in this region.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid digital transformation, increasing smartphone penetration, and growing adoption of smart devices. Expanding IoT ecosystems and rising investments in AI technologies across emerging economies are further fueling market growth. Additionally, the region's linguistic diversity drives demand for advanced multilingual voice recognition systems, encouraging innovation and localization. Government initiatives supporting digitalization also contribute to the accelerated adoption of AI-driven voice solutions.

Key players in the market

Some of the key players in AI in Voice Recognition Market include Alphabet Inc., Amazon.com Inc., Apple Inc., Microsoft Corporation, IBM Corporation, Nuance Communications, Baidu Inc., iFLYTEK Co., Ltd., SoundHound AI, Cerence Inc., Samsung Electronics, Deepgram Inc., AssemblyAI Inc., Speechmatics Ltd. and ElevenLabs Inc.

Key Developments:

In February 2026, Wesfarmers and Microsoft announced a multi-year strategic partnership to accelerate AI-powered innovation, focusing on expanding the adoption of Microsoft's AI, cloud, and data technologies across retail and industrial operations, enhancing customer experience, improving supply chain efficiency, and boosting employee productivity through AI-driven tools.

In February 2026, Microsoft and OpenAI reaffirmed their long-standing partnership, emphasizing that it remains strong and unchanged despite new collaborations and investments. Both companies will continue working closely across research, engineering, and product development, with Microsoft retaining access to OpenAI's intellectual property and Azure remaining central to delivering AI solutions, while maintaining flexibility for independent growth.

Components Covered:

  • Hardware
  • Software
  • Services
  • Speech Engines & APIs

Types Covered:

  • Speaker-Dependent Systems
  • Speaker-Independent Systems
  • Hybrid Voice Recognition Systems

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises
  • Hybrid Deployment

Technologies Covered:

  • Automatic Speech Recognition (ASR)
  • Natural Language Processing (NLP)
  • Deep Learning & Neural Networks
  • Voice Biometrics
  • Speech-to-Text Conversion
  • Edge AI / On-Device Processing

Applications Covered:

  • Voice Search
  • Authentication & Security
  • Transcription & Documentation
  • Customer Service Automation
  • Virtual Assistants
  • Contact Centers
  • Smart Devices & IoT
  • Automotive Infotainment

End Users Covered:

  • Retail & E-commerce
  • Healthcare
  • Automotive
  • IT & Telecommunications
  • Government & Defense
  • Media & Entertainment
  • Education

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI in Voice Recognition Market, By Component

  • 5.1 Hardware
  • 5.2 Software Type
  • 5.3 Services
  • 5.4 Speech Engines & APIs

6 Global AI in Voice Recognition Market, By Type

  • 6.1 Speaker-Dependent Systems
  • 6.2 Speaker-Independent Systems
  • 6.3 Hybrid Voice Recognition Systems

7 Global AI in Voice Recognition Market, By Deployment Mode

  • 7.1 Cloud-Based
  • 7.2 On-Premises
  • 7.3 Hybrid Deployment

8 Global AI in Voice Recognition Market, By Technology

  • 8.1 Automatic Speech Recognition (ASR)
  • 8.2 Natural Language Processing (NLP)
  • 8.3 Deep Learning & Neural Networks
  • 8.4 Voice Biometrics
  • 8.5 Speech-to-Text Conversion
  • 8.6 Edge AI / On-Device Processing

9 Global AI in Voice Recognition Market, By Application

  • 9.1 Voice Search
  • 9.2 Authentication & Security
  • 9.3 Transcription & Documentation
  • 9.4 Customer Service Automation
  • 9.5 Virtual Assistants
  • 9.6 Contact Centers
  • 9.7 Smart Devices & IoT
  • 9.8 Automotive Infotainment

10 Global AI in Voice Recognition Market, By End User

  • 10.1 Retail & E-commerce
  • 10.2 Healthcare
  • 10.3 Automotive
  • 10.4 IT & Telecommunications
  • 10.5 Government & Defense
  • 10.6 Media & Entertainment
  • 10.7 Education

11 Global AI in Voice Recognition Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Alphabet Inc.
  • 14.2 Amazon.com Inc.
  • 14.3 Apple Inc.
  • 14.4 Microsoft Corporation
  • 14.5 IBM Corporation
  • 14.6 Nuance Communications
  • 14.7 Baidu Inc.
  • 14.8 iFLYTEK Co., Ltd.
  • 14.9 SoundHound AI
  • 14.10 Cerence Inc.
  • 14.11 Samsung Electronics
  • 14.12 Deepgram Inc.
  • 14.13 AssemblyAI Inc.
  • 14.14 Speechmatics Ltd.
  • 14.15 ElevenLabs Inc.

List of Tables

  • Table 1 Global AI in Voice Recognition Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Voice Recognition Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI in Voice Recognition Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global AI in Voice Recognition Market Outlook, By Software (2023-2034) ($MN)
  • Table 5 Global AI in Voice Recognition Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global AI in Voice Recognition Market Outlook, By Speech Engines & APIs (2023-2034) ($MN)
  • Table 7 Global AI in Voice Recognition Market Outlook, By Type (2023-2034) ($MN)
  • Table 8 Global AI in Voice Recognition Market Outlook, By Speaker-Dependent Systems (2023-2034) ($MN)
  • Table 9 Global AI in Voice Recognition Market Outlook, By Speaker-Independent Systems (2023-2034) ($MN)
  • Table 10 Global AI in Voice Recognition Market Outlook, By Hybrid Voice Recognition Systems (2023-2034) ($MN)
  • Table 11 Global AI in Voice Recognition Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 12 Global AI in Voice Recognition Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 13 Global AI in Voice Recognition Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 14 Global AI in Voice Recognition Market Outlook, By Hybrid Deployment (2023-2034) ($MN)
  • Table 15 Global AI in Voice Recognition Market Outlook, By Technology (2023-2034) ($MN)
  • Table 16 Global AI in Voice Recognition Market Outlook, By Automatic Speech Recognition (ASR) (2023-2034) ($MN)
  • Table 17 Global AI in Voice Recognition Market Outlook, By Natural Language Processing (NLP) (2023-2034) ($MN)
  • Table 18 Global AI in Voice Recognition Market Outlook, By Deep Learning & Neural Networks (2023-2034) ($MN)
  • Table 19 Global AI in Voice Recognition Market Outlook, By Voice Biometrics (2023-2034) ($MN)
  • Table 20 Global AI in Voice Recognition Market Outlook, By Speech-to-Text Conversion (2023-2034) ($MN)
  • Table 21 Global AI in Voice Recognition Market Outlook, By Edge AI / On-Device Processing (2023-2034) ($MN)
  • Table 22 Global AI in Voice Recognition Market Outlook, By Application (2023-2034) ($MN)
  • Table 23 Global AI in Voice Recognition Market Outlook, By Voice Search (2023-2034) ($MN)
  • Table 24 Global AI in Voice Recognition Market Outlook, By Authentication & Security (2023-2034) ($MN)
  • Table 25 Global AI in Voice Recognition Market Outlook, By Transcription & Documentation (2023-2034) ($MN)
  • Table 26 Global AI in Voice Recognition Market Outlook, By Customer Service Automation (2023-2034) ($MN)
  • Table 27 Global AI in Voice Recognition Market Outlook, By Virtual Assistants (2023-2034) ($MN)
  • Table 28 Global AI in Voice Recognition Market Outlook, By Contact Centers (2023-2034) ($MN)
  • Table 29 Global AI in Voice Recognition Market Outlook, By Smart Devices & IoT (2023-2034) ($MN)
  • Table 30 Global AI in Voice Recognition Market Outlook, By Automotive Infotainment (2023-2034) ($MN)
  • Table 31 Global AI in Voice Recognition Market Outlook, By End User (2023-2034) ($MN)
  • Table 32 Global AI in Voice Recognition Market Outlook, By Retail & E-commerce (2023-2034) ($MN)
  • Table 33 Global AI in Voice Recognition Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 34 Global AI in Voice Recognition Market Outlook, By Automotive (2023-2034) ($MN)
  • Table 35 Global AI in Voice Recognition Market Outlook, By IT & Telecommunications (2023-2034) ($MN)
  • Table 36 Global AI in Voice Recognition Market Outlook, By Government & Defense (2023-2034) ($MN)
  • Table 37 Global AI in Voice Recognition Market Outlook, By Media & Entertainment (2023-2034) ($MN)
  • Table 38 Global AI in Voice Recognition Market Outlook, By Education (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.