汽车语音辨识市场规模- 按组件（硬体、软体）、按技术（嵌入式、基于云端、混合）、按车辆（ICE、电动）、按应用（导航、气候控制、资讯娱乐）、按销售管道和预测, 2024 - 2032

由于人工智慧和自然语言处理的进步，以及对驾驶员安全的高度重视，2024 年至 2032 年全球汽车语音辨识市场的CAGR将达到 12%。借助尖端技术，语音辨识系统变得更加准确和灵敏，从而增强了使用者体验。对安全的关注鼓励采用免提交互，减少驾驶分心。随着汽车製造商优先考虑更安全的驾驶环境，对车辆语音控制功能的需求将会激增，从而巩固人工智慧在塑造汽车产业未来方面的关键作用。

例如，2024年1月，Sensory推出了名为Sensory Automotive的新型汽车人工智慧平台，该平台结合了尖端的语音和脸部人工智慧技术。该平台支援连续、先进的语音转文字功能和脸部分析，以评估视线和分心驾驶。

汽车语音辨识产业按组件、技术、车辆、应用、销售通路和地区划分。

由于其在现代驾驶体验中不可或缺的作用，到 2032 年，导航细分市场将经历大幅成长。随着智慧汽车的兴起，驾驶者越来越依赖语音命令来实现无缝导航。该细分市场的成长是由即时方向、交通更新和免持操作的需求所推动的。由于安全仍然是重中之重，语音控制导航系统提供的便利性和效率使其成为汽车产业未来的重要组成部分。

由于其与车辆系统的无缝集成，到 2032 年，嵌入式细分市场将显着成长。该技术为驾驶员提供免持且直觉的互动体验，增强安全性和便利性。随着汽车製造商越来越注重将语音辨识直接嵌入到车辆中，这一领域将经历显着成长。对具有先进功能的连网汽车的需求进一步推动了这一趋势，巩固了嵌入式领域作为塑造汽车语音识别未来的关键参与者的地位。

由于快速的技术进步和该地区庞大的汽车工业，亚太地区汽车语音辨识市场份额将在 2024 年至 2032 年间实现显着的复合CAGR。对连网车辆的需求不断增长以及对驾驶员安全的重视等因素促成了这一增长。中国、日本和韩国等国家在将语音辨识系统整合到车辆中处于领先地位。随着消费者偏好转向无缝、免提交互，亚太地区将成为汽车语音辨识产业的重要贡献者。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

• 产业生态系统分析
• 供应商格局
• 利润率分析
• 技术与创新格局
• 专利分析
• 重要新闻和倡议
• 监管环境
• 衝击力
  • 成长动力
    • 连网汽车日益普及
    • 高阶功能的需求不断增长
    • 自动驾驶汽车的趋势日益明显
    • 技术进步
  • 产业陷阱与挑战
    • 实施成本高
    • 与遗留系统的复杂集成
• 成长潜力分析
• 波特的分析
• PESTEL分析

第 4 章：竞争格局

• 介绍
• 公司市占率分析
• 竞争定位矩阵
• 战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2018 年 - 2032 年

• 主要趋势
• 硬体
• 软体

第 6 章：市场估计与预测：依技术分类，2018 - 2032

• 主要趋势
• 嵌入式
• 基于云端
• 杂交种

第 7 章：市场估计与预测：按车辆划分，2018 - 2032 年

• 主要趋势
• 冰
• 电的

第 8 章：市场估计与预测：按应用划分，2018 年 - 2032 年

• 主要趋势
• 导航
• 气候控制
• 资讯娱乐系统
• 其他的

第 9 章：市场估计与预测：按销售管道，2018 年 - 2032 年

• 主要趋势
• 整车厂
• 售后市场

第 10 章：市场估计与预测：按地区划分，2018 年 - 2032 年

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 俄罗斯
  • 西班牙
  • 欧洲其他地区
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 澳洲
  • 东南亚
  • 亚太地区其他地区
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
  • 拉丁美洲其他地区
• MEA
  • 阿联酋
  • 南非
  • 沙乌地阿拉伯
  • MEA 的其余部分

第 11 章：公司简介

• Aisin Seiki Co., Ltd.
• Alibaba Group
• Amazon
• Baidu Inc.
• Bosch
• Cerence Inc.
• Continental AG
• Dragon Drive
• Google
• Harman International
• IBM
• iNAGO Corporation
• Microsoft
• Nuance Communications
• Qualcomm Technologies, Inc.
• Sensory Inc.
• SoundHound Inc.
• Speak With Me Inc.
• Visteon Corporation
• VoiceBox Technologies

Global Automotive Voice Recognition Market will record a 12% CAGR from 2024 to 2032, owing to advancements in AI and natural language processing, in line with a heightened emphasis on driver safety. With cutting-edge technologies, voice recognition systems are becoming more accurate and responsive, enhancing the user experience. The focus on safety encourages the adoption of hands-free interaction, reducing driver distractions. As automakers prioritize safer driving environments, the demand for voice-controlled features in vehicles will surge, solidifying AI's pivotal role in shaping the automotive industry's future.

For instance, in January 2024, Sensory introduced its new automotive AI platform, named Sensory Automotive, which combines cutting-edge voice and facial AI technologies. This platform enables continuous, advanced speech-to-text capabilities and facial analytics for evaluating gaze and distracted driving.

The automotive voice recognition industry is divided based on component, technology, vehicle, application, sales channel, and region.

The navigation segment will experience a substantial upswing by 2032, propelled by its integral role in modern driving experiences. With the rise of smart vehicles, drivers increasingly rely on voice commands for seamless navigation. This segment growth is propelled by the demand for real-time directions, traffic updates, and hands-free operation. As safety remains a top priority, the convenience and efficiency offered by voice-controlled navigation systems make them a crucial component of the automotive industry's future.

The embedded segment will observe a noteworthy upsurge by 2032 due to its seamless integration within vehicle systems. This technology offers drivers a hands-free and intuitive interaction experience, enhancing safety and convenience. With automakers increasingly focusing on embedding voice recognition directly into their vehicles, this segment will experience significant growth. The demand for connected cars with advanced features further boosts this trend, solidifying the embedded segment's position as a key player in shaping the future of automotive voice recognition.

Asia Pacific automotive voice recognition market share will secure a remarkable CAGR between 2024 and 2032, attributed to rapid technological advancements and the region's substantial automotive industry. Factors such as the increasing demand for connected vehicles and the emphasis on driver safety contribute to this growth. Countries like China, Japan, and South Korea are at the forefront of integrating voice recognition systems into their vehicles. As consumer preferences shift towards seamless, hands-free interaction, Asia Pacific will stand as a notable contributor to the automotive voice recognition industry.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definitions
• 1.2 Base estimates & calculations
• 1.3 Forecast calculations
• 1.4 Data sources
  • 1.4.1 Primary
  • 1.4.2 Secondary
    • 1.4.2.1 Paid sources
    • 1.4.2.2 Public sources

Chapter 2 Executive Summary

• 2.1 Industry 360 degree synopsis, 2018 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news & initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Rising popularity of connected cars
    • 3.8.1.2 Growing demand for premium features
    • 3.8.1.3 Increasing trend toward autonomous vehicles
    • 3.8.1.4 Advancements in technology
  • 3.8.2 Industry pitfalls & challenges
    • 3.8.2.1 High implementation costs
    • 3.8.2.2 Complex integration with legacy systems
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
  • 3.10.1 Supplier power
  • 3.10.2 Buyer power
  • 3.10.3 Threat of new entrants
  • 3.10.4 Threat of substitutes
  • 3.10.5 Industry rivalry
• 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2018 - 2032 ($Mn)

• 5.1 Key trends
• 5.2 Hardware
• 5.3 Software

Chapter 6 Market Estimates & Forecast, By Technology, 2018 - 2032 ($Mn)

• 6.1 Key trends
• 6.2 Embedded
• 6.3 Cloud-based
• 6.4 Hybrid

Chapter 7 Market Estimates & Forecast, By Vehicle, 2018 - 2032 ($Mn)

• 7.1 Key trends
• 7.2 ICE
• 7.3 Electric

Chapter 8 Market Estimates & Forecast, By Application, 2018 - 2032 ($Mn)

• 8.1 Key trends
• 8.2 Navigation
• 8.3 Climate control
• 8.4 Infotainment
• 8.5 Others

Chapter 9 Market Estimates & Forecast, By Sales Channel, 2018 - 2032 ($Mn)

• 9.1 Key trends
• 9.2 OEMs
• 9.3 Aftermarket

Chapter 10 Market Estimates & Forecast, By Region, 2018 - 2032 ($Mn)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 UK
  • 10.3.2 Germany
  • 10.3.3 France
  • 10.3.4 Italy
  • 10.3.5 Russia
  • 10.3.6 Spain
  • 10.3.7 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 Japan
  • 10.4.3 India
  • 10.4.4 South Korea
  • 10.4.5 Australia
  • 10.4.6 Southeast Asia
  • 10.4.7 Rest of Asia Pacific
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
  • 10.5.4 Rest of Latin America
• 10.6 MEA
  • 10.6.1 UAE
  • 10.6.2 South Africa
  • 10.6.3 Saudi Arabia
  • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

• 11.1 Aisin Seiki Co., Ltd.
• 11.2 Alibaba Group
• 11.3 Amazon
• 11.4 Baidu Inc.
• 11.5 Bosch
• 11.6 Cerence Inc.
• 11.7 Continental AG
• 11.8 Dragon Drive
• 11.9 Google
• 11.10 Harman International
• 11.11 IBM
• 11.12 iNAGO Corporation
• 11.13 Microsoft
• 11.14 Nuance Communications
• 11.15 Qualcomm Technologies, Inc.
• 11.16 Sensory Inc.
• 11.17 SoundHound Inc.
• 11.18 Speak With Me Inc.
• 11.19 Visteon Corporation
• 11.20 VoiceBox Technologies