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Voice Recognition for Automotive-Global Market Insights and Sales Trends 2025

Voice Recognition for Automotive-Global Market Insights and Sales Trends 2025

Publishing Date : Mar, 2025

License Type :
 

Report Code : 1862209

No of Pages : 100

Synopsis
The hybrid technology is estimated to be the largest growing segment of the voice recognition system market in terms of volume.
The global Voice Recognition for Automotive market size is expected to reach US$ 396.9 million by 2029, growing at a CAGR of 10.2% from 2023 to 2029. The market is mainly driven by the significant applications of Voice Recognition for Automotive in various end use industries. The expanding demands from the Economy Vehicles, Mid-Price Vehicles, Luxury Vehicles and Others, are propelling Voice Recognition for Automotive market. Embedded, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Non-Embedded segment is estimated at % CAGR for the next seven-year period.
Automotive is a key driver of this industry. According to data from the World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in the past 10 years, at 97.3 million and 95.89 million respectively. In 2018, the global economic expansion ended, and the global auto market declined as a whole. In 2022, there will wear units 81.6 million vehicles in the world. At present, more than 90% of the world's automobiles are concentrated in the three continents of Asia, Europe and North America, of which Asia automobile production accounts for 56% of the world, Europe accounts for 20%, and North America accounts for 16%. The world major automobile producing countries include China, the United States, Japan, South Korea, Germany, India, Mexico, and other countries; among them, China is the largest automobile producing country in the world, accounting for about 32%. Japan is the world's largest car exporter, exporting more than 3.5 million vehicles in 2022.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Voice Recognition for Automotive, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Voice Recognition for Automotive market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Voice Recognition for Automotive market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Voice Recognition for Automotive sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Voice Recognition for Automotive covered in this report include Alphabet, Apple, Harman, Inago, Lumenvox, Microsoft, Nuance, Sensory and Vocalzoom, etc.
The global Voice Recognition for Automotive market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Alphabet
Apple
Harman
Inago
Lumenvox
Microsoft
Nuance
Sensory
Vocalzoom
Voicebox
Global Voice Recognition for Automotive market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Voice Recognition for Automotive market, Segment by Type:
Embedded
Non-Embedded
Others
Global Voice Recognition for Automotive market, by Application
Economy Vehicles
Mid-Price Vehicles
Luxury Vehicles
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Voice Recognition for Automotive companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index
1 Market Overview of Voice Recognition for Automotive
1.1 Voice Recognition for Automotive Market Overview
1.1.1 Voice Recognition for Automotive Product Scope
1.1.2 Voice Recognition for Automotive Market Status and Outlook
1.2 Global Voice Recognition for Automotive Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Voice Recognition for Automotive Market Size by Region (2018-2029)
1.4 Global Voice Recognition for Automotive Historic Market Size by Region (2018-2023)
1.5 Global Voice Recognition for Automotive Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Voice Recognition for Automotive Market Size (2018-2029)
1.6.1 North America Voice Recognition for Automotive Market Size (2018-2029)
1.6.2 Europe Voice Recognition for Automotive Market Size (2018-2029)
1.6.3 Asia-Pacific Voice Recognition for Automotive Market Size (2018-2029)
1.6.4 Latin America Voice Recognition for Automotive Market Size (2018-2029)
1.6.5 Middle East & Africa Voice Recognition for Automotive Market Size (2018-2029)
2 Voice Recognition for Automotive Market by Type
2.1 Introduction
2.1.1 Embedded
2.1.2 Non-Embedded
2.1.3 Others
2.2 Global Voice Recognition for Automotive Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Voice Recognition for Automotive Historic Market Size by Type (2018-2023)
2.2.2 Global Voice Recognition for Automotive Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Voice Recognition for Automotive Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Voice Recognition for Automotive Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Voice Recognition for Automotive Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Voice Recognition for Automotive Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Voice Recognition for Automotive Revenue Breakdown by Type (2018-2029)
3 Voice Recognition for Automotive Market Overview by Application
3.1 Introduction
3.1.1 Economy Vehicles
3.1.2 Mid-Price Vehicles
3.1.3 Luxury Vehicles
3.1.4 Others
3.2 Global Voice Recognition for Automotive Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Voice Recognition for Automotive Historic Market Size by Application (2018-2023)
3.2.2 Global Voice Recognition for Automotive Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Voice Recognition for Automotive Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Voice Recognition for Automotive Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Voice Recognition for Automotive Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Voice Recognition for Automotive Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Voice Recognition for Automotive Revenue Breakdown by Application (2018-2029)
4 Voice Recognition for Automotive Competition Analysis by Players
4.1 Global Voice Recognition for Automotive Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Voice Recognition for Automotive as of 2022)
4.3 Date of Key Players Enter into Voice Recognition for Automotive Market
4.4 Global Top Players Voice Recognition for Automotive Headquarters and Area Served
4.5 Key Players Voice Recognition for Automotive Product Solution and Service
4.6 Competitive Status
4.6.1 Voice Recognition for Automotive Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Alphabet
5.1.1 Alphabet Profile
5.1.2 Alphabet Main Business
5.1.3 Alphabet Voice Recognition for Automotive Products, Services and Solutions
5.1.4 Alphabet Voice Recognition for Automotive Revenue (US$ Million) & (2018-2023)
5.1.5 Alphabet Recent Developments
5.2 Apple
5.2.1 Apple Profile
5.2.2 Apple Main Business
5.2.3 Apple Voice Recognition for Automotive Products, Services and Solutions
5.2.4 Apple Voice Recognition for Automotive Revenue (US$ Million) & (2018-2023)
5.2.5 Apple Recent Developments
5.3 Harman
5.3.1 Harman Profile
5.3.2 Harman Main Business
5.3.3 Harman Voice Recognition for Automotive Products, Services and Solutions
5.3.4 Harman Voice Recognition for Automotive Revenue (US$ Million) & (2018-2023)
5.3.5 Inago Recent Developments
5.4 Inago
5.4.1 Inago Profile
5.4.2 Inago Main Business
5.4.3 Inago Voice Recognition for Automotive Products, Services and Solutions
5.4.4 Inago Voice Recognition for Automotive Revenue (US$ Million) & (2018-2023)
5.4.5 Inago Recent Developments
5.5 Lumenvox
5.5.1 Lumenvox Profile
5.5.2 Lumenvox Main Business
5.5.3 Lumenvox Voice Recognition for Automotive Products, Services and Solutions
5.5.4 Lumenvox Voice Recognition for Automotive Revenue (US$ Million) & (2018-2023)
5.5.5 Lumenvox Recent Developments
5.6 Microsoft
5.6.1 Microsoft Profile
5.6.2 Microsoft Main Business
5.6.3 Microsoft Voice Recognition for Automotive Products, Services and Solutions
5.6.4 Microsoft Voice Recognition for Automotive Revenue (US$ Million) & (2018-2023)
5.6.5 Microsoft Recent Developments
5.7 Nuance
5.7.1 Nuance Profile
5.7.2 Nuance Main Business
5.7.3 Nuance Voice Recognition for Automotive Products, Services and Solutions
5.7.4 Nuance Voice Recognition for Automotive Revenue (US$ Million) & (2018-2023)
5.7.5 Nuance Recent Developments
5.8 Sensory
5.8.1 Sensory Profile
5.8.2 Sensory Main Business
5.8.3 Sensory Voice Recognition for Automotive Products, Services and Solutions
5.8.4 Sensory Voice Recognition for Automotive Revenue (US$ Million) & (2018-2023)
5.8.5 Sensory Recent Developments
5.9 Vocalzoom
5.9.1 Vocalzoom Profile
5.9.2 Vocalzoom Main Business
5.9.3 Vocalzoom Voice Recognition for Automotive Products, Services and Solutions
5.9.4 Vocalzoom Voice Recognition for Automotive Revenue (US$ Million) & (2018-2023)
5.9.5 Vocalzoom Recent Developments
5.10 Voicebox
5.10.1 Voicebox Profile
5.10.2 Voicebox Main Business
5.10.3 Voicebox Voice Recognition for Automotive Products, Services and Solutions
5.10.4 Voicebox Voice Recognition for Automotive Revenue (US$ Million) & (2018-2023)
5.10.5 Voicebox Recent Developments
6 North America
6.1 North America Voice Recognition for Automotive Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Voice Recognition for Automotive Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Voice Recognition for Automotive Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Voice Recognition for Automotive Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Voice Recognition for Automotive Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Voice Recognition for Automotive Market Dynamics
11.1 Voice Recognition for Automotive Industry Trends
11.2 Voice Recognition for Automotive Market Drivers
11.3 Voice Recognition for Automotive Market Challenges
11.4 Voice Recognition for Automotive Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List

Published By : QY Research

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