自动语音辨识应用市场 - 全球产业规模、份额、趋势、机会、预测：按类型、应用、最终用户、地区和竞争格局划分，2021-2031年

全球自动语音辨识应用市场预计将从 2025 年的 36.6 亿美元大幅成长至 2031 年的 93.2 亿美元，复合年增长率达 16.86%。

这些专用软体工具利用演算法处理将语音转换为文本，并在各种数位介面上执行语音启动命令。推动这一成长的关键因素包括汽车和医疗产业对免持操作日益增长的需求，以及消费性电子产品对无障碍功能日益增长的要求。能够处理高级处理需求的硬体的广泛普及进一步促进了这一趋势。正如美国消费技术协会 (CTA) 指出，预计到 2024 年，美国将有超过 2.3 亿部智慧型手机和个人电脑采用生成式人工智慧技术，这将直接拓展语音互动的可能性。

儘管市场呈现正面趋势，但在背景噪音较大或存在多种地域口音的环境中，如何确保高精度识别仍然是语音技术广泛应用的主要障碍。此类辨识失败会严重损害使用者信任，并限制语音技术在对准确性要求极高的工作环境中的应用。因此，无法保证在日常声学环境中实现完美转录仍然是开发人员必须克服的重大技术难题，才能实现语音技术的普遍应用。

市场驱动因素

人工智慧 (AI) 和自然语言处理 (NLP) 的显着进步正在改变全球自动语音辨识应用市场，推动软体从执行基本命令发展到能够理解复杂的上下文资讯。生成式 AI 的引入使这些应用能够识别意图、细微差别和情感，从而显着提升用户满意度，并将功能扩展到简单的语音转录之外。这项技术进步正在重塑消费者的期望，使用者越来越需要能够处理复杂对话互动的介面。根据 Zendesk 于 2025 年 2 月发布的《2025 年客户体验趋势报告》，74% 的消费者认为「能够理解并回应他们语音的 AI 将显着改善他们的体验」。这种对智慧语音系统日益增长的依赖正在推动市场成长。 TELUS Digital 2024 年的一项调查显示，81% 的美国人每天或每週都会使用语音技术，这表明这些创新技术具有大规模的应用潜力。

第二个关键驱动因素是将语音辨识技术整合到医疗文件中。这直接解决了医护人员倦怠和行政负担等更广泛的挑战。现代自动语音辨识 (ASR) 工具利用临床环境智能，可在诊疗过程中自动产生医疗记录，从而显着减少电子健康记录 (EHR) 资料输入所需的时间。这种效率的商业性意义体现在旨在优化营运的大型医疗系统迅速采用该技术。正如微软在 7 月的 2024 财年第四季财报电话会议上所述，部署 Nuance DAX Copilot 的医疗机构数量较上季成长了 40%。这一强劲趋势凸显了专业 ASR 应用正从可选功能转变为专业医疗工作流程的必要组成部分。

市场挑战

全球自动语音辨识应用市场成长的主要障碍在于，在背景噪音较大且方言鲜明的环境中，难以维持较高的辨识准确度。儘管硬体效能不断提升，但软体往往无法区分清晰语音和环境噪音，也无法准确处理非标准口音，导致转录错误，进而影响介面可靠性。在医疗文件和汽车控制系统等对准确率要求极高的特殊环境中，即使是轻微的识别错误也可能导致严重的营运中断，使得相关人员在关键业务中部署此类系统持谨慎态度。

这项技术难题直接导致用户不满，并阻碍了技术普及率的提升。当应用程式在实际环境中无法正确解读指令时，使用者往往会放弃这项技术，转而寻求人工帮助。根据客服中心管理协会 (CCMA) 2024 年的数据，70% 的消费者都曾遇到自助服务失败的情况，这凸显了当前技术效能与使用者期望之间存在的巨大差距。如此高的失败率迫使企业限制语音辨识的部署范围，而企业优先考虑营运可靠性而非自动化创新，这实际上正在减缓整个市场的成长。

市场趋势

向设备端和边缘运算架构的转变，正透过将处理能力转移到边缘，从根本上重塑全球自动语音辨识应用市场的部署策略。开发者正越来越多地将推理任务从远端伺服器转移到本地神经处理单元 (NPU)，以降低延迟并解决与云端传输相关的资料隐私问题。这种架构演进将使语音应用能够在无需持续网路连接的情况下运行，从而满足汽车和工业应用中对稳定性能至关重要的关键需求。业界正在积极优化模型规模以支持这一转变。根据高通公司 2025 年 2 月发表的报导，前一年发布的大规模人工智慧模型中，超过 75% 的模型参数量不足 1000 亿，显然是为在消费级设备上高效本地执行而设计的。

同时，融合语音处理和电脑视觉功能的多模态语音视觉使用者介面正在拓展市场格局。现代应用程式不再仅仅依赖语音输入，而是同时处理语音指令和视觉讯息，使用户能够透过语音询问图像相关问题或控制萤幕上的组件。这种融合建立了一种更直观的互动模式，模拟了人类的感官处理过程，从而提升了使用者对整合系统的依赖。消费者习惯的改变也印证了这一趋势；三星电子在2025年7月发布的关于「Galaxy AI论坛」的新闻稿中指出，47%的受访消费者目前每天都会频繁使用这些集成的AI功能，并认为如果没有多模态语音和搜寻支持，他们的日常生活将受到严重影响。

目录

第一章概述

第二章：调查方法

第三章执行摘要

第四章：客户心声

第五章：全球自动语音辨识应用市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按类型（指导性对话、自然语言对话）
  • 按下应用（语音转文字、语音搜寻/语音指令、语音助理、语音翻译等）
  • 按最终用户（媒体与娱乐、医疗保健、汽车、零售、银行、金融服务和保险、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美自动语音辨识应用市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国别分析
  • 我们
  • 加拿大
  • 墨西哥

第七章：欧洲自动语音辨识应用市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国别分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区自动语音辨识应用市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国别分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲自动语音辨识应用市场展望

• 市场规模及预测
• 市占率及预测
• 中东与非洲：国别分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美洲自动语音辨识应用市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国别分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 促进因素
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 近期趋势

第十三章：全球自动语音辨识应用市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的潜力
• 供应商的议价能力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• Microsoft Corporation
• IBM Corporation
• Apple Inc.
• Alphabet Inc,
• Nuance Communications, Inc.
• Baidu Inc.
• iFLYTEK Co., Ltd.
• Huawei Technologies Co. Ltd

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Automatic Speech Recognition Apps Market is projected to experience substantial expansion, rising from a valuation of USD 3.66 Billion in 2025 to USD 9.32 Billion by 2031, representing a compound annual growth rate of 16.86%. These specialized software tools use algorithmic processes to transcribe spoken words into text or perform voice-activated commands across various digital interfaces. The primary catalysts for this growth include the escalating requirement for hands-free operations within the automotive and healthcare industries, coupled with a surging demand for accessibility compliance in consumer electronics. This development is bolstered by the broad availability of hardware capable of managing sophisticated processing requirements. As noted by the Consumer Technology Association, more than 230 million smartphones and personal computers shipped to the U.S. in 2024 are expected to leverage generative artificial intelligence, directly amplifying the potential for voice-based interactions.

Despite this positive market trajectory, a major obstacle hindering broader adoption is the difficulty of ensuring high precision in environments filled with background noise or characterized by varied regional accents. Such recognition failures can significantly erode user confidence and restrict the application of speech technologies in professional settings where exactness is non-negotiable. Consequently, the incapacity to ensure flawless transcription under everyday acoustic conditions remains a significant technical barrier that developers must surmount to realize universal implementation.

Market Driver

Significant progress in Artificial Intelligence and Natural Language Processing is transforming the Global Automatic Speech Recognition Apps Market, evolving software from basic command execution to sophisticated, context-sensitive comprehension. The incorporation of generative AI enables these applications to discern intent, nuance, and sentiment, which greatly improves user satisfaction and extends functionality beyond simple transcription. This technological advancement is shaping consumer expectations, with users increasingly demanding interfaces capable of managing complex, conversational exchanges. According to the Zendesk '2025 CX Trends Report' from February 2025, 74% of consumers feel that AI capable of understanding and responding to their voice would significantly enhance their experience. This rising dependence on intelligent voice systems is fueling market growth; TELUS Digital reported in 2024 that 81% of Americans use voice technology on a daily or weekly basis, demonstrating the massive adoption scale enabled by these innovations.

The second pivotal driver is the integration of speech recognition into healthcare documentation, which directly addresses the widespread issue of clinician burnout and administrative burdens. Modern ASR tools, utilizing ambient clinical intelligence, can now autonomously generate medical notes during patient consultations, drastically cutting down the time required for Electronic Health Record (EHR) data entry. The commercial significance of this efficiency is reflected in the rapid adoption by large health systems aiming to optimize their operations. As stated by Microsoft in their 'Fiscal Year 2024 Fourth Quarter Earnings Call' in July 2024, the number of healthcare organizations acquiring the Nuance DAX Copilot rose by 40% compared to the previous quarter. This strong trend highlights how specialized ASR applications are shifting from optional amenities to essential components of professional medical workflows.

Market Challenge

A primary obstacle impeding the growth of the Global Automatic Speech Recognition Apps Market is the challenge of sustaining high accuracy levels in environments with significant background noise or distinct regional dialects. Although hardware performance has advanced, software frequently fails to differentiate between clear speech and ambient noise or to accurately process non-standard accents, resulting in transcription errors that undermine interface reliability. In professional environments where exactness is essential, such as healthcare documentation or automotive control systems, even slight misinterpretations can lead to major operational disruptions, causing stakeholders to become reluctant about implementing these solutions for critical tasks.

This technical deficiency is directly linked to user dissatisfaction and plateauing adoption rates. When applications are unable to correctly interpret commands in real-world scenarios, users often abandon the technology and revert to human assistance. Data from the Call Centre Management Association in 2024 indicates that 70% of consumers have encountered failed self-service interactions, underscoring the significant disparity between current technological performance and user expectations. This high frequency of interaction failure compels enterprises to restrict the extent of speech recognition deployment, effectively slowing the overall market growth as businesses prioritize operational reliability over automated innovation.

Market Trends

The shift toward On-Device and Edge Computing architectures is fundamentally reshaping deployment strategies within the Global Automatic Speech Recognition Apps Market by moving processing power to the edge. Developers are increasingly transferring inference tasks from remote servers to local Neural Processing Units (NPUs) to mitigate latency and resolve data privacy issues linked to cloud transmission. This architectural evolution allows voice applications to operate without constant internet access, a vital necessity for automotive and industrial applications where consistent performance is mandatory. The industry is aggressively optimizing model sizes to support this shift; according to a February 2025 article by Qualcomm titled 'AI disruption is driving innovation in on-device inference,' over 75% of large-scale AI models released in the previous year contained fewer than 100 billion parameters, explicitly tailored for efficient local execution on consumer devices.

Simultaneously, the emergence of Multimodal Voice-Visual User Interfaces is broadening the market's horizon by merging speech processing with computer vision capabilities. Instead of depending exclusively on audio inputs, contemporary applications process voice commands alongside visual information, enabling users to inquire about images or control on-screen components via speech. This fusion establishes a more intuitive interaction paradigm that simulates human sensory processing, thereby deepening user reliance on these unified systems. This trend is confirmed by evolving consumer habits; a July 2025 press release from Samsung Electronics regarding the 'Galaxy AI Forum' noted that 47% of surveyed consumers now depend heavily on these integrated AI features every day, indicating that their daily routines would be significantly impacted without such multimodal voice and search support.

Key Market Players

• Microsoft Corporation
• IBM Corporation
• Apple Inc.
• Alphabet Inc,
• Nuance Communications, Inc.
• Baidu Inc.
• iFLYTEK Co., Ltd.
• Huawei Technologies Co. Ltd

Report Scope

In this report, the Global Automatic Speech Recognition Apps Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Automatic Speech Recognition Apps Market, By Type

• Directed Dialogue Conversations
• Natural Language Conversations

Automatic Speech Recognition Apps Market, By Application

• Speech-to-Text Conversion
• Voice Search & Command
• Voice Assistants
• Voice Translation
• Others

Automatic Speech Recognition Apps Market, By End-user

• Media & Entertainment
• Healthcare
• Automotive
• Retail
• BFSI
• Others

Automatic Speech Recognition Apps Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Automatic Speech Recognition Apps Market.

Available Customizations:

Global Automatic Speech Recognition Apps Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Automatic Speech Recognition Apps Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Type (Directed Dialogue Conversations, Natural Language Conversations)
  • 5.2.2. By Application (Speech-to-Text Conversion, Voice Search & Command, Voice Assistants, Voice Translation, Others)
  • 5.2.3. By End-user (Media & Entertainment, Healthcare, Automotive, Retail, BFSI, Others)
  • 5.2.4. By Region
  • 5.2.5. By Company (2025)
• 5.3. Market Map

6. North America Automatic Speech Recognition Apps Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Type
  • 6.2.2. By Application
  • 6.2.3. By End-user
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Automatic Speech Recognition Apps Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Type
      • 6.3.1.2.2. By Application
      • 6.3.1.2.3. By End-user
  • 6.3.2. Canada Automatic Speech Recognition Apps Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Type
      • 6.3.2.2.2. By Application
      • 6.3.2.2.3. By End-user
  • 6.3.3. Mexico Automatic Speech Recognition Apps Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Type
      • 6.3.3.2.2. By Application
      • 6.3.3.2.3. By End-user

7. Europe Automatic Speech Recognition Apps Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Type
  • 7.2.2. By Application
  • 7.2.3. By End-user
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Automatic Speech Recognition Apps Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Type
      • 7.3.1.2.2. By Application
      • 7.3.1.2.3. By End-user
  • 7.3.2. France Automatic Speech Recognition Apps Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Type
      • 7.3.2.2.2. By Application
      • 7.3.2.2.3. By End-user
  • 7.3.3. United Kingdom Automatic Speech Recognition Apps Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Type
      • 7.3.3.2.2. By Application
      • 7.3.3.2.3. By End-user
  • 7.3.4. Italy Automatic Speech Recognition Apps Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Type
      • 7.3.4.2.2. By Application
      • 7.3.4.2.3. By End-user
  • 7.3.5. Spain Automatic Speech Recognition Apps Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Type
      • 7.3.5.2.2. By Application
      • 7.3.5.2.3. By End-user

8. Asia Pacific Automatic Speech Recognition Apps Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Type
  • 8.2.2. By Application
  • 8.2.3. By End-user
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Automatic Speech Recognition Apps Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Type
      • 8.3.1.2.2. By Application
      • 8.3.1.2.3. By End-user
  • 8.3.2. India Automatic Speech Recognition Apps Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Type
      • 8.3.2.2.2. By Application
      • 8.3.2.2.3. By End-user
  • 8.3.3. Japan Automatic Speech Recognition Apps Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Type
      • 8.3.3.2.2. By Application
      • 8.3.3.2.3. By End-user
  • 8.3.4. South Korea Automatic Speech Recognition Apps Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Type
      • 8.3.4.2.2. By Application
      • 8.3.4.2.3. By End-user
  • 8.3.5. Australia Automatic Speech Recognition Apps Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Type
      • 8.3.5.2.2. By Application
      • 8.3.5.2.3. By End-user

9. Middle East & Africa Automatic Speech Recognition Apps Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Type
  • 9.2.2. By Application
  • 9.2.3. By End-user
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Automatic Speech Recognition Apps Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Type
      • 9.3.1.2.2. By Application
      • 9.3.1.2.3. By End-user
  • 9.3.2. UAE Automatic Speech Recognition Apps Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Type
      • 9.3.2.2.2. By Application
      • 9.3.2.2.3. By End-user
  • 9.3.3. South Africa Automatic Speech Recognition Apps Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Type
      • 9.3.3.2.2. By Application
      • 9.3.3.2.3. By End-user

10. South America Automatic Speech Recognition Apps Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Type
  • 10.2.2. By Application
  • 10.2.3. By End-user
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Automatic Speech Recognition Apps Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Type
      • 10.3.1.2.2. By Application
      • 10.3.1.2.3. By End-user
  • 10.3.2. Colombia Automatic Speech Recognition Apps Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Type
      • 10.3.2.2.2. By Application
      • 10.3.2.2.3. By End-user
  • 10.3.3. Argentina Automatic Speech Recognition Apps Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Type
      • 10.3.3.2.2. By Application
      • 10.3.3.2.3. By End-user

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Automatic Speech Recognition Apps Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Microsoft Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. IBM Corporation
• 15.3. Apple Inc.
• 15.4. Alphabet Inc,
• 15.5. Nuance Communications, Inc.
• 15.6. Baidu Inc.
• 15.7. iFLYTEK Co., Ltd.
• 15.8. Huawei Technologies Co. Ltd

16. Strategic Recommendations

17. About Us & Disclaimer