Synopsis
Voice Recognition is the identification of a person from characteristics of voices. Voice recognition converts speech from a recorded audio signal to text. Humans convert words to speech with their speech production mechanism. An voice recognition aims to infer those original words given the observable signal. Automotive Voice Recognition is mounted on the car's voice recognition system. This report mainly covers the Automotive Voice Recognition product type, while we can also offer any product survey report related to the Automotive Voice Recognition industry chain.
The global Automotive Voice Recognition market size is expected to reach US$ 266.2 million by 2029, growing at a CAGR of 3.9% from 2023 to 2029. The market is mainly driven by the significant applications of Automotive Voice Recognition in various end use industries. The expanding demands from the Passenger Vehicle and Commercial Vehicle, are propelling Automotive Voice Recognition market. Single language recognition, 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 Multilingual Recognition segment is estimated at % CAGR for the next seven-year period.
Global Automotive Voice Recognition key players include Nuance, VoiceBox, Iflytek, Fuetrek, Sensory, etc. Global top five manufacturers hold a share about 95%. Europe is the largest market, with a share about 35%, followed by North America and China, both with a share about 20 percent. In terms of product, Multilingual Recognition is the largest segment, with a share about 55%. And in terms of application, the largest application is Passenger Vehicle, followed by Commercial Vehicle.
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 Automotive Voice Recognition, 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 Automotive Voice Recognition 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 Automotive Voice Recognition market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Automotive Voice Recognition 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 Automotive Voice Recognition covered in this report include Nuance, VoiceBox, Iflytek, Fuetrek, Sensory, AMI and LumenVox, etc.
The global Automotive Voice Recognition market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Nuance
VoiceBox
Iflytek
Fuetrek
Sensory
AMI
LumenVox
Global Automotive Voice Recognition 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 Automotive Voice Recognition market, Segment by Type:
Single language recognition
Multilingual Recognition
Global Automotive Voice Recognition market, by Application
Passenger Vehicle
Commercial Vehicle
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 Automotive Voice Recognition 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 Automotive Voice Recognition
1.1 Automotive Voice Recognition Market Overview
1.1.1 Automotive Voice Recognition Product Scope
1.1.2 Automotive Voice Recognition Market Status and Outlook
1.2 Global Automotive Voice Recognition Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Automotive Voice Recognition Market Size by Region (2018-2029)
1.4 Global Automotive Voice Recognition Historic Market Size by Region (2018-2023)
1.5 Global Automotive Voice Recognition Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Automotive Voice Recognition Market Size (2018-2029)
1.6.1 North America Automotive Voice Recognition Market Size (2018-2029)
1.6.2 Europe Automotive Voice Recognition Market Size (2018-2029)
1.6.3 Asia-Pacific Automotive Voice Recognition Market Size (2018-2029)
1.6.4 Latin America Automotive Voice Recognition Market Size (2018-2029)
1.6.5 Middle East & Africa Automotive Voice Recognition Market Size (2018-2029)
2 Automotive Voice Recognition Market by Type
2.1 Introduction
2.1.1 Single language recognition
2.1.2 Multilingual Recognition
2.2 Global Automotive Voice Recognition Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Automotive Voice Recognition Historic Market Size by Type (2018-2023)
2.2.2 Global Automotive Voice Recognition Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Automotive Voice Recognition Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Automotive Voice Recognition Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Automotive Voice Recognition Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Automotive Voice Recognition Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Automotive Voice Recognition Revenue Breakdown by Type (2018-2029)
3 Automotive Voice Recognition Market Overview by Application
3.1 Introduction
3.1.1 Passenger Vehicle
3.1.2 Commercial Vehicle
3.2 Global Automotive Voice Recognition Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Automotive Voice Recognition Historic Market Size by Application (2018-2023)
3.2.2 Global Automotive Voice Recognition Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Automotive Voice Recognition Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Automotive Voice Recognition Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Automotive Voice Recognition Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Automotive Voice Recognition Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Automotive Voice Recognition Revenue Breakdown by Application (2018-2029)
4 Automotive Voice Recognition Competition Analysis by Players
4.1 Global Automotive Voice Recognition 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 Automotive Voice Recognition as of 2022)
4.3 Date of Key Players Enter into Automotive Voice Recognition Market
4.4 Global Top Players Automotive Voice Recognition Headquarters and Area Served
4.5 Key Players Automotive Voice Recognition Product Solution and Service
4.6 Competitive Status
4.6.1 Automotive Voice Recognition Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Nuance
5.1.1 Nuance Profile
5.1.2 Nuance Main Business
5.1.3 Nuance Automotive Voice Recognition Products, Services and Solutions
5.1.4 Nuance Automotive Voice Recognition Revenue (US$ Million) & (2018-2023)
5.1.5 Nuance Recent Developments
5.2 VoiceBox
5.2.1 VoiceBox Profile
5.2.2 VoiceBox Main Business
5.2.3 VoiceBox Automotive Voice Recognition Products, Services and Solutions
5.2.4 VoiceBox Automotive Voice Recognition Revenue (US$ Million) & (2018-2023)
5.2.5 VoiceBox Recent Developments
5.3 Iflytek
5.3.1 Iflytek Profile
5.3.2 Iflytek Main Business
5.3.3 Iflytek Automotive Voice Recognition Products, Services and Solutions
5.3.4 Iflytek Automotive Voice Recognition Revenue (US$ Million) & (2018-2023)
5.3.5 Fuetrek Recent Developments
5.4 Fuetrek
5.4.1 Fuetrek Profile
5.4.2 Fuetrek Main Business
5.4.3 Fuetrek Automotive Voice Recognition Products, Services and Solutions
5.4.4 Fuetrek Automotive Voice Recognition Revenue (US$ Million) & (2018-2023)
5.4.5 Fuetrek Recent Developments
5.5 Sensory
5.5.1 Sensory Profile
5.5.2 Sensory Main Business
5.5.3 Sensory Automotive Voice Recognition Products, Services and Solutions
5.5.4 Sensory Automotive Voice Recognition Revenue (US$ Million) & (2018-2023)
5.5.5 Sensory Recent Developments
5.6 AMI
5.6.1 AMI Profile
5.6.2 AMI Main Business
5.6.3 AMI Automotive Voice Recognition Products, Services and Solutions
5.6.4 AMI Automotive Voice Recognition Revenue (US$ Million) & (2018-2023)
5.6.5 AMI Recent Developments
5.7 LumenVox
5.7.1 LumenVox Profile
5.7.2 LumenVox Main Business
5.7.3 LumenVox Automotive Voice Recognition Products, Services and Solutions
5.7.4 LumenVox Automotive Voice Recognition Revenue (US$ Million) & (2018-2023)
5.7.5 LumenVox Recent Developments
6 North America
6.1 North America Automotive Voice Recognition Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Automotive Voice Recognition 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 Automotive Voice Recognition 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 Automotive Voice Recognition 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 Automotive Voice Recognition Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Automotive Voice Recognition Market Dynamics
11.1 Automotive Voice Recognition Industry Trends
11.2 Automotive Voice Recognition Market Drivers
11.3 Automotive Voice Recognition Market Challenges
11.4 Automotive Voice Recognition 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