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市场调查报告书
商品编码
1456998

全球语音辨识市场 – 2024 年至 2029 年预测

Global Voice and Speech Recognition Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

预计到 2029 年，语音辨识市场规模将达到 872 亿美元，整个预测期内的复合年增长率为 17.91%。这比 2022 年的 275.27 亿美元大幅成长。

由于多种因素，预计该市场将出现显着成长。一个关键因素是 Alexa、Siri 和 Google Assistant 等虚拟助理在家庭和职场中越来越受欢迎。这些数位助理正在成为日常生活中不可或缺的一部分，推动语音辨识工具的普及。语音辨识技术提供的更多可访问性也是该市场的一个显着特征。随着连网装置数量的不断增长，语音辨识将成为控制智慧家庭、穿戴式装置和各种其他连网装置的重要介面。语音命令与这些技术的无缝整合正在改善用户体验，并促进对基于语音的互动的日益依赖。

智慧型手机虚拟助理需求不断成长推动市场发展

Siri、Google Assistant 和 Alexa 等主要虚拟助理整合到智慧型手机作业系统中，大大扩展了它们的可访问性，使广大用户可以轻鬆使用它们。这种可访问性导致对语音辨识软体的需求显着增加。智慧型手机作为这些虚拟助理的主要平台发挥着重要作用。 GPS 等高阶智慧型手机功能可实现基于位置的提醒和语音指令导航辅助等功能。虚拟助理和智慧型手机技术的集成为日常业务增添了便利性和实用性。此外，您的智慧型手机充当可携式中心，将您的虚拟助理连接到家中和汽车中无数其他智慧型装置。这个互连繫统为使用者创建了一个中央控制中心，使他们能够透过语音命令管理其环境的各个方面，从而创造更整合和简化的使用者体验。

USITC资料显示，2021年，美国行动电话进口额大幅成长，达598亿美元，与前一年同期比较增110亿美元（22.5%）。这一上升趋势在 2022 年持续，美国行动电话进口量增加 28 亿美元（4.7%），达到 626 亿美元。在此期间行动电话进口量的快速成长被认为是由于5G相容行动电话的需求增加所致。整体而言，虚拟助理和智慧型手机的结合彻底改变了个人与科技互动的方式。这种整合使技术比以往任何时候都更加直观、方便和个人化。随着智慧型手机在一般人群中的不断普及，虚拟助理的普及和使用也不断增加，反映出数位领域更广泛的变革。

预计北美市场将出现显着成长。

由于多种因素，美国的语音辨识产业正在快速成长。语音辨识技术的普及是由对免持设备日益增长的需求所推动的，特别是在汽车和消费性电子领域。自然语言处理的进步极大地提高了这些系统的准确性和效率，促进它们整合到虚拟助理、客户支援应用程式和通讯设备中。此外，智慧家庭设备的兴起和家庭自动化趋势导致广泛使用语音命令来操作联锁设备。

根据国家教育统计中心的数据，到 2021 年，97% 的 3 至 18 岁儿童在家可以上网，高于 2016 年的 92%。同样，与 2019 年冠状病毒爆发之前相比，2021 年在家上网的人数 (95%) 有所增加。随着行动电话变得普及流行，它们为语音启动服务和应用程式提供了更广泛的平台。由于文字转语音、语音指令和虚拟助理等功能，语音辨识技术的需求量大。国防安全保障部科学技术局 (S&T) 正在与约翰霍普金斯大学应用物理实验室 (JHU/APL) 合作，识别并整合潜在的自动语音辨识(ASR) 技术解决方案。此外，医疗产业正在采用语音辨识进行临床记录和转录服务，以提高效率。 Google Assistant 和 Amazon Alexa 等虚拟助理的普及也做出了巨大贡献。此外，提高准确性和可靠性，以及扩大商业环境中的应用以提高效率，都进一步推动了市场的成长。

目录

第一章 简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • 分析师观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章全球语音辨识市场：依技术分类

  • 介绍
  • 说话者识别和检验
  • 自动语音辨识(ASR)
  • 语音转文字

第六章全球语音辨识市场：依发展划分

  • 介绍
  • 云
  • 本地

第七章全球语音辨识市场：依最终用户划分

  • 介绍
  • 车
  • BFSI
  • 政府
  • 零售
  • 医疗保健
  • 款待
  • 教育
  • 其他的

第八章全球语音辨识市场：按地区

  • 介绍
  • 北美洲
  • 南美洲
  • 欧洲
  • 中东/非洲
  • 亚太地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • LumenVox
  • SESTEK
  • Apple Inc.
  • IBM
  • Microsoft
  • Alphabet Inc.（Google LLC）
  • Meta
  • Sensory Inc.
  • AssemblyAI
  • Amazon Web Services, Inc.
简介目录
Product Code: KSI061614659

The voice and speech recognition market is expected to experience a CAGR of 17.91% throughout the forecast period, reaching a market size of US$87.200 billion by 2029. This represents a substantial increase from US$27.527 billion recorded in 2022.

The market is anticipated to experience significant growth, driven by various factors. The rising popularity of virtual assistants such as Alexa, Siri, and Google Assistant in both homes and workplaces is a key contributor. These digital assistants are becoming integral parts of daily life, fostering increased adoption of voice recognition tools. One notable aspect proposing the market is the enhanced accessibility provided by voice recognition technology. As the number of internet-connected devices continues to proliferate, voice recognition is to become a pivotal interface for controlling smart homes, wearables, and various other connected devices. The seamless integration of voice commands into these technologies enhances user experience and contributes to the growing reliance on voice-based interactions.

Rising demand for virtual assistants in smartphones propels the market

The integration of major virtual assistants like Siri, Google Assistant, and Alexa with smartphone operating systems has significantly expanded their accessibility, making them easily available to a broad user base. This accessibility, in turn, has contributed to a substantial increase in their demand for speech and voice recognition software.Smartphones play a crucial role as they serve as the primary platform for these virtual assistants. The advanced features of smartphones, such as GPS, enable functionalities like location-based reminders and voice-commanded navigation assistance. This integration of virtual assistants with smartphone technologies adds a layer of convenience and practicality to everyday tasks. Furthermore, smartphones function as portable hubs, connecting virtual assistants to a myriad of other smart devices in homes or cars. This interconnected system creates a centralized control hub for users, enabling them to manage various aspects of their environment with voice commands and creating a more integrated and streamlined user experience.

According to data by USITC, in 2021, U.S. imports of cellular phones experienced a notable increase, rising by $11 billion (22.5 percent) to reach $59.8 billion from previous year. This upward trend continued in 2022, with U.S. imports of cellular phones growing by $2.8 billion (4.7 percent) to reach $62.6 billion. The surge in the import value of cellular phones during these years is likely attributed to the increased demand for 5G-enabled phones. Overall, the combination of virtual assistants and smartphones has led to a revolutionary shift in the way individuals interact with technology. This integration has made technology more intuitive, convenient, and personalized than ever before. With the continued rise in smartphone adoption among the general population, there is a corresponding increase in the ubiquity and utilization of virtual assistants, reflecting a broader transformation in the digital landscape.

North America is projected for significant growth in the market.

The voice and speech recognition industry in the United States has grown rapidly due to several factors. Voice recognition technology's popularity has been driven by the growing need for hands-free gadgets, especially in the automobile and consumer electronics sectors. The accuracy and efficiency of these systems have greatly increased due to advancements in natural language processing, which has encouraged integration in virtual assistants, customer support applications, and communication devices. Furthermore, voice commands are being widely used to operate linked devices due to the rise of smart home gadgets and the trend towards home automation.

As per the National Center of Education Statistics, in 2021, the proportion of 3- to 18-year-olds who had access to the internet at home was 97%, compared to 92% in 2016. In a similar vein, the proportion of people with home internet connection in 2021 was greater than it was in 2019 (95%), before the coronavirus pandemic. As cell phones proliferate, they provide a broad platform for voice-activated services and apps. Voice recognition technology is becoming more in demand due to features like speech-to-text capabilities, voice-activated commands, and virtual assistants. The Department of Homeland Security Science and Technology Directorate (S&T) has partnered with the Johns Hopkins University Applied Physics Laboratory (JHU/APL) to develop potential Automated Speech Recognition (ASR) technology solutions as part of its mission to support the identification and integration of existing and emerging technologies. Additionally, speech recognition has been adopted by the healthcare industry for clinical documentation and transcribing services, which has improved efficiency. The widespread use of virtual assistants, like Google Assistant and Amazon Alexa, has been greatly aided by their popularity. Moreover, improved precision and dependability, together with growing applications in business environments to boost efficiency, have further propelled the market's growth.

Market Key Developments

  • August 2022, JCB Co., Ltd., Japan's exclusive international payment brand, and Kyndryl, the IT infrastructure services provider. Their joint venture resulted in the launch of an AI-based interactive automatic speech response system, aimed at elevating customer satisfaction and service quality.
  • May 2023, Apple showcased software features dedicated to cognitive, vision, hearing, and mobility accessibility. Additionally, the company introduced groundbreaking tools catering to individuals who are nonspeaking or at risk of losing their ability to speak. Leveraging advancements in both hardware and software, Apple emphasized on-device machine learning to create inclusive products for everyone.

Segmentation:

By Technology:

  • Speaker Identification and Verification
  • Automatic Speech Recognition (ASR)
  • Speech To Text

By Deployment:

  • Cloud
  • On-premise

By End-User:

  • Automotive
  • BFSI
  • Government
  • Retail
  • Healthcare
  • Hospitality
  • Education
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline
  • 1.8. Key benefits to the stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. Analyst View

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. GLOBAL VOICE AND SPEECH RECOGNITION MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Speaker Identification and Verification
    • 5.2.1. Market opportunities and trends
    • 5.2.2. Growth prospects
    • 5.2.3. Geographic lucrativeness
  • 5.3. Automatic Speech Recognition (ASR)
    • 5.3.1. Market opportunities and trends
    • 5.3.2. Growth prospects
    • 5.3.3. Geographic lucrativeness
  • 5.4. Speech To Text
    • 5.4.1. Market opportunities and trends
    • 5.4.2. Growth prospects
    • 5.4.3. Geographic lucrativeness

6. GLOBAL VOICE AND SPEECH RECOGNITION MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. Cloud
    • 6.2.1. Market opportunities and trends
    • 6.2.2. Growth prospects
    • 6.2.3. Geographic lucrativeness
  • 6.3. On-Premise
    • 6.3.1. Market opportunities and trends
    • 6.3.2. Growth prospects
    • 6.3.3. Geographic lucrativeness

7. GLOBAL VOICE AND SPEECH RECOGNITION MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Automotive
    • 7.2.1. Market opportunities and trends
    • 7.2.2. Growth prospects
    • 7.2.3. Geographic lucrativeness
  • 7.3. BFSI
    • 7.3.1. Market opportunities and trends
    • 7.3.2. Growth prospects
    • 7.3.3. Geographic lucrativeness
  • 7.4. Government
    • 7.4.1. Market opportunities and trends
    • 7.4.2. Growth prospects
    • 7.4.3. Geographic lucrativeness
  • 7.5. Retail
    • 7.5.1. Market opportunities and trends
    • 7.5.2. Growth prospects
    • 7.5.3. Geographic lucrativeness
  • 7.6. Healthcare
    • 7.6.1. Market opportunities and trends
    • 7.6.2. Growth prospects
    • 7.6.3. Geographic lucrativeness
  • 7.7. Hospitality
    • 7.7.1. Market opportunities and trends
    • 7.7.2. Growth prospects
    • 7.7.3. Geographic lucrativeness
  • 7.8. Education
    • 7.8.1. Market opportunities and trends
    • 7.8.2. Growth prospects
    • 7.8.3. Geographic lucrativeness
  • 7.9. Others
    • 7.9.1. Market opportunities and trends
    • 7.9.2. Growth prospects
    • 7.9.3. Geographic lucrativeness

8. GLOBAL VOICE AND SPEECH RECOGNITION MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Technology
    • 8.2.2. By Deployment
    • 8.2.3. By End-user
    • 8.2.4. By Country
      • 8.2.4.1. United States
        • 8.2.4.1.1. Market Trends and Opportunities
        • 8.2.4.1.2. Growth Prospects
      • 8.2.4.2. Canada
        • 8.2.4.2.1. Market Trends and Opportunities
        • 8.2.4.2.2. Growth Prospects
      • 8.2.4.3. Mexico
        • 8.2.4.3.1. Market Trends and Opportunities
        • 8.2.4.3.2. Growth Prospects
  • 8.3. South America
    • 8.3.1. By Technology
    • 8.3.2. By Deployment
    • 8.3.3. By End-user
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
        • 8.3.4.1.1. Market Trends and Opportunities
        • 8.3.4.1.2. Growth Prospects
      • 8.3.4.2. Argentina
        • 8.3.4.2.1. Market Trends and Opportunities
        • 8.3.4.2.2. Growth Prospects
      • 8.3.4.3. Others
        • 8.3.4.3.1. Market Trends and Opportunities
        • 8.3.4.3.2. Growth Prospects
  • 8.4. Europe
    • 8.4.1. By Technology
    • 8.4.2. By Deployment
    • 8.4.3. By End-user
    • 8.4.4. By Country
      • 8.4.4.1. Germany
        • 8.4.4.1.1. Market Trends and Opportunities
        • 8.4.4.1.2. Growth Prospects
      • 8.4.4.2. France
        • 8.4.4.2.1. Market Trends and Opportunities
        • 8.4.4.2.2. Growth Prospects
      • 8.4.4.3. United Kingdom
        • 8.4.4.3.1. Market Trends and Opportunities
        • 8.4.4.3.2. Growth Prospects
      • 8.4.4.4. Spain
        • 8.4.4.4.1. Market Trends and Opportunities
        • 8.4.4.4.2. Growth Prospects
      • 8.4.4.5. Others
        • 8.4.4.5.1. Market Trends and Opportunities
        • 8.4.4.5.2. Growth Prospects
  • 8.5. Middle East and Africa
    • 8.5.1. By Technology
    • 8.5.2. By Deployment
    • 8.5.3. By End-user
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
        • 8.5.4.1.1. Market Trends and Opportunities
        • 8.5.4.1.2. Growth Prospects
      • 8.5.4.2. UAE
        • 8.5.4.2.1. Market Trends and Opportunities
        • 8.5.4.2.2. Growth Prospects
      • 8.5.4.3. Israel
        • 8.5.4.3.1. Market Trends and Opportunities
        • 8.5.4.3.2. Growth Prospects
      • 8.5.4.4. Others
        • 8.5.4.4.1. Market Trends and Opportunities
        • 8.5.4.4.2. Growth Prospects
  • 8.6. Asia Pacific
    • 8.6.1. By Technology
    • 8.6.2. By Deployment
    • 8.6.3. By End-user
    • 8.6.4. By Country
      • 8.6.4.1. China
        • 8.6.4.1.1. Market Trends and Opportunities
        • 8.6.4.1.2. Growth Prospects
      • 8.6.4.2. Japan
        • 8.6.4.2.1. Market Trends and Opportunities
        • 8.6.4.2.2. Growth Prospects
      • 8.6.4.3. India
        • 8.6.4.3.1.1. Market Trends and Opportunities
        • 8.6.4.3.1.2. Growth Prospects
      • 8.6.4.4. South Korea
        • 8.6.4.4.1.1. Market Trends and Opportunities
        • 8.6.4.4.1.2. Growth Prospects
      • 8.6.4.5. Indonesia
        • 8.6.4.5.1.1. Market Trends and Opportunities
        • 8.6.4.5.1.2. Growth Prospects
      • 8.6.4.6. Taiwan
        • 8.6.4.6.1.1. Market Trends and Opportunities
        • 8.6.4.6.1.2. Growth Prospects
      • 8.6.4.7. Others
        • 8.6.4.7.1. Market Trends and Opportunities
        • 8.6.4.7.2. Growth Prospects

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisition, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. LumenVox
  • 10.2. SESTEK
  • 10.3. Apple Inc.
  • 10.4. IBM
  • 10.5. Microsoft
  • 10.6. Alphabet Inc. (Google LLC)
  • 10.7. Meta
  • 10.8. Sensory Inc.
  • 10.9. AssemblyAI
  • 10.10. Amazon Web Services, Inc.